International Institute of
"Innovation Description Languages, IDLs" & Knowledge Representations, KRs, and - Easily Drafting & Testing Patents for their Total Robustness -
Schindler, Sigram (Germany)
ABSTRACT:
For any ETCI its KR in any IDL dramatically facilitates mathematically & semi-automatically ●drafting it (from scratch) totally robust and/or ●proving it to be totally robust (if preexisting).
Key for totally robust patents is the rationalization by the Supreme Court’s MBA-framework of 35 USC Substantive Patent Law, SPL (§§ 112/101/102/103), thus enabling it to unassailably protect Emerging Technology Claimed Inventions, ETCIs, without jeopardizing the US patent system.
IDL-Axiom: An “IDL” is any elementarily mathematizable subset of any natural language that is next to trivial, yet is expanded by all notions that the Supreme Court by its MBA-framework exor implicitly requires to be used in legally deciding an ETCI to satisfy SPL ─ by testing it in this IDL. Thus, an IDL is a Domain- specific Language, DSL, for facilitating drafting and or using IDL
ETCIs.
Even if applying the FSTP-Test, hitherto no way has been known to stereotypically for any ETCI semi-mathematically/- automatically ●draft by a human an ETCI’s totally robust patent(application) specification in a thus expanded subset of a natural language, and/or ●test any ETCI by this IDL’s J
IDL
LACs for its meeting all requirements of 35 USC/SPL.
A Big Data Platform for Monitoring the Quality of Data Transfer Services and Relevant Market Indicators of Mobile Operators
Incera Diéguez, José Alberto; Mejía Olvera, Marcelo (Mexico)
ABSTRACT:
We present a platform that monitors and reports the quality of the data services offered by mobile operators. The platform is based on a set of nodes and a mobile application that captures quality of service measurements and other relevant data. This information is sent to collector nodes where it is analyzed to generate reports about the quality of the data services. The
platform also provides information about the mobile sector, like the market share of mobile operators, smartphone manufacturers and models, and mobile technologies deployed. Since the platform has the potential to grow to a large-scale nation-wide project, the collector nodes are based on Hadoop for the storage and data analysis. We deployed a proof of concept in Mexico with a mobile App for the Android mobile operating system. The QoS servers were deployed on virtual machines on Amazon's AWS cloud. In order to test the
capability of the Big Data based collector and BI nodes, we built a discrete-event simulator that generates QoS records with different random distributions, market behaviors and relevant patterns that would be interesting to observe.
A Computer Algorithm for Detection of Tuberculosis Bacilli in Ziehl Nellsen Sputum Smear Images Based on the Adjustment of RGB Primary Component Tones and Geometric Eccentricity
Del Carpio, Christian; Dianderas, Erwin; Zimick, Mirko; Sheen, Patricia; Coronel, Jorge; Fuentes, Patricia; Kemper, Guillermo (Peru)
ABSTRACT:
The present study proposes a method of automatic detection of tuberculosis (TB) bacilli from digital images of Ziehl Neelsen sputum smear baciloscopy. The method is based on an algorithm that aims to automate the interpretation of optical microscopic images of sputum smears. According to the World Health Organization (WHO), a specialist can not analyze and process more than 20 samples per day (in order to not affect the analysis sensitivity and commit errors in diagnosis). Therefore, an automated tool as the proposed here, is an important contribution to the current efforts to fight tuberculosis. The algorithm is based on geometric eccentricity of ellipses and improvement of RGB component tones. Correspondence functions adjusted to sample preparation conditions were applied in order to improve the RGB primary component tones of the image. This allows to obtain an adequate segmentation of interest objects. For the recognition of each object as bacillus, the geometric descriptor of eccentricity of the ellipse was applied. The algorithm was validated with 66 independent sputum samples from TB patients. A sensitivity of 88.75% and a specificity of 95.5% was obtained for the diluted pellet method for sample preparation.
A Determination of Factors that Influence Broadband Growth and Penetration in Southern Africa
Gorejena, Karikoga; Mavetera, Nehemiah; Velempini, Mthulisi (South Africa)
ABSTRACT:
The aim of this paper is to determine the factors that influence broadband growth and penetration in southern Africa. The ultimate purpose was to propose a framework for broadband growth and penetration for this region. The proposed framework is not shown in this paper. Data gathering and analysis was done to explore, identify and describe the conformity of broadband growth and penetration factors as given by literature to the realities confronting Southern African Development Community (SADC) nations. Therefore Confirmatory Factor Analysis (CFA) was used. Findings speak to the research questions, that is, the extent to which they have been answered or not answered. Data was obtained from 13 of the 15 SADC members states. A total of about 550 participants responded to the survey. Although
A Hypothetical Migration Analysis of the PLC Based on IEEE 1901.2 Standard
Barzola, Julio *; Rubini, Luca ** (* Ecuador, ** Italy)
ABSTRACT:
According to the Kyoto Protocol, the European Union 2020 strategy established the reduction of 20% of the 1990’s carbon emission levels by 2020 as an objective. In this scenario, Smart metering plays a key role to achieve the mentioned objective. Italy and Sweden have already accomplished their national rollout, and other countries are implementing strategies to meet the requirements. From a technological point of view, Smart metering based on Power Line Communication (PLC) is the natural backbone and the first step toward smart grid applications. PLC´s infrastructure serves to carry out several smart solutions including, among others, smart homes, smart cities, and electric vehicles. However, the technology is constantly evolving, and today there is a new generation of PLC technology based on Orthogonal Frequency Division Multiplex (OFDM) which provides a higher communication bandwidth. Taking advantage of the existing PLC system in Italy, this paper analyzes a hypothetical scenario of migration from the current Italian distribution electric network toward the new IEEE 1901.2 standard with OFDM–PLC. Additionally, possible technological solutions for Smart meters and Concentrators adapted to the new standard are presented.
A Multi-Disciplinary Approach of Business Architecture and its Business Intelligence Applications for IoT Big Data
Yoshida, Naofumi; Miyazaki, Jun (Japan)
ABSTRACT:
The purpose of this paper is to clarify a multi-disciplinary approach for deep learning based IoT (Internet of Things) application architecture in business. In IoT, collaboration among domain knowledge experts, data scientists, systems
architects, and total system consultants are inevitable. Because each specialty is totally different and it is hard to cover all of knowledge in one person. The role of consultants is important how they can coordinate these multi-disciplinary people and knowledge, and manage to create architecture for domain specific IoT applications, such as healthcare, autonomous driving, smart city, and smart home, etc. We show how these multi-disciplinary people interact, design and implement business oriented deep learning applications. In many cases, even domain knowledge people cannot tell where such data are hidden in the companies and how should be analyzed. In business applications, to show rapid prototyping system as Proof of Concept (PoC) is also important for these multidisciplinary people and business executives to discuss the effectiveness and direction of data analysis. Especially business executives sometimes only can know how IoT analytics systems are effective only by showing the analytics results in intuitive graphical expression. We show some example applications
applied to this multi-disciplinary method and evaluate its effectiveness.
A Niche Sharing Scheme-Based Co-Evolutionary Particle Swarm Optimization Algorithm for Flow Shop Scheduling Problem
Jiao, Bin; Yan, Shaobin (China)
ABSTRACT:
By taking advantage of niche sharing scheme, we propose a novel co-evolutionary particle swarm optimization algorithm (NCPSO) to solve permutation flow shop scheduling problem. As the core of this algorithm, niche sharing scheme maximizes the diversity of population and hence improves the quality of individuals. To evaluate the performance of the proposed algorithm, we have use eight Taillard instances with different sizes to extensive experiment and results clearly shown that the solutions found by NCPSO algorithm outperform those by Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Cooperative Particle Swarm Optimization (CPSO).
Actor Network Analysis on the Estonian e-Government Development
Vargas Álvarez del Castillo, Carlos Ivan (Estonia)
ABSTRACT:
The Estonian e-government model has shown in the last decade to be an effective digital solution. In order to understand the local lessons of e-government in a socio-technical perspective the author propose to track the actors, their power relations, the networks and the policies that led to the current existing solution. Actor-Network Theory (ANT) provides a good resource for it. By following the “mobilization of local and global actors” resource of ANT we will be able to understand the lessons of innovation and technology that Estonia has and that created one of the most advanced e-governments models in the world.
Alternative Compilation of the METEO11 Meteorological Message
Šilinger, Karel; Blaha, Martin; Přikryl, Bohuslav (Czech Republic)
ABSTRACT:
All artillery units need meteorological messages for accurate firing data calculations. The non-standard METEO11 meteorological message is necessary for the artillery of some NATO armies, especially of the former Eastern bloc states. If these countries are unable to carry out their own comprehensive meteorological sounding, the other states in the multinational task forces can distribute them the METB3 and METCM meteorological messages, standardized in NATO. Artilleries of the former Eastern bloc still do not have adapted their fire control systems for using the METB3 or METCM meteorological messages and therefore they cannot be adequate partners for other NATO countries. This long-term incompatibility is caused by different model of tabular atmosphere and non-standard firing tables, both established based on the soviet tabular atmosphere model according to GOST 4401-48. In order for these countries to become fully interoperable partners for Western NATO states, it was necessary to carry out their own research to compile the METEO11 meteorological message from standardized meteorological products available to all partner states. The paper summarizes the results (software products) of this research and analyses the accuracy of developed METEO11 alternative methods. Solving of the problem lies on the ability to compose METEO11 meteorological message according to an abstract of a measured meteorological data and in the ability to carry out conversions of the METB3 or METCM meteorological messages. Authors had derived all needed mathematical models, which they implemented into the new software “METEO11 MAKER” and “METCM & METB3 to METEO11”, both introduced in the paper.
An Integrated Course in Logic, Philosophy, History, and Theology: Extensions of Logic and the Limits to Knowledge
Marlowe, Thomas; Laracy, Fr. Joseph R. (United States)
ABSTRACT:
The new course presents an overview of topics in and related to logic, including development of formal logic and an axiomatic first-order logic. It explores the history of mathematics and logic in the Catholic Intellectual and wider Western Traditions, as well as the mutual interactions of mathematics, philosophy, language, and religion. It then considers extensions of first-order logic, and provable limits to knowledge: the three unsolvable problems of Euclidean geometry, and examples from Gödel, Turing, Arrow, quantum physics, and others. Epistemological issues will be emphasized throughout the course. The translation between natural language and expression in logical and reasoning formalisms is emphasized throughout. As a Core curriculum course at Seton Hall University, fundamental questions such as “What is logic?” and “What are its limits?” will be considered within the framework of Christianity's broader view of the human person and human intelligence.
Analysis of a Spin-Transfer Torque Based Copy Operation of a Buffered Magnetic Processing Environment
Windbacher, Thomas; Sverdlov, Viktor; Makarov, Alexander; Selberherr, Siegfried (Austria)
ABSTRACT:
The static power dissipation and the communication bandwidth between memory and processors have become performance limiting bottlenecks for modern computer systems. The introduction of certain nonvolatile devices, i.e. magnetic tunnel junctions (MTJ), enables the realization of fast zero standby
power and instant-on CMOS/MTJ hybrids. However, these solutions still cannot compete with pure CMOS circuits in one of the key aspects, namely integration density. In order to circumvent this limitation, we suggested to move as much as possible of the CMOS functionality into the magnetic domain. As a result, we proposed a nonvolatile magnetic processing environment where information encoded spin-transfer torques perform instructions. In this work we investigate the copy operation which is essential for the magnetic processing environment. In particular, we analyze geometry dependences and misalignment issues for the fabrication process.
Articulated Pose Estimation Method Research Based on Deep Learning
Chen, Kai; Cao, Guitao; Meng, Dan; Cao, Wenming (China)
ABSTRACT:
This paper proposes an articulated pose estimation method based on DeepPose, improving it’s estimation accuracy. Firstly, it analyzes and compares the advantages and disadvantages of Faster Rcnn and DeepPose in the field of articulated pose estimation, proposes the ROptimization algorithm to reajust joints’ bounding box properly. Secondly, through combining DeepPose and Faster Rcnn, an improved articulated pose estimation method is proposed, which is better than using DeepPose or Faster Rcnn separately.
Attribute Reduction for Fuzzy Set Valued Information Systems
Ahmed, Waseem; Beg, M. M. Sufyan; Ahmad, Tanvir (India)
ABSTRACT:
Rough set is considerably used to perform attribute reduction in an information system. In real life situations, several objects contain many values for an attribute. Information systems with such conditions are termed as set valued information systems. Initially, tolerance relation was used to handle set valued data. This tolerance relation was based on intersection of set values which can lead to loss of some information. Hence, fuzzy rough model is constructed for such information system which uses fuzzy relation. However, in real situations, there is a possibility that some of the set valued attributes are real or continuous. Hence existing set valued fuzzy rough model requires some changes to be done. In this paper, fuzzy relation for fuzzy set valued data is defined and has been used as a basis to find the superfluous attribute, reduct and relative reduct for fuzzy set valued information system.
Autonomous Software Development: Sustain Market Share in Constantly Changing Software Product Industries
Bajighar, Matin; Shahzad, Farrukh (United States)
ABSTRACT:
The constant flurry of technology innovation that is allowing
fast-paced development of software is enabling newentrants
to build sophisticated and advanced applications in a short period of time. This causes almost constant market disruptions for long standing well established players. Growth and maturity time-spans of even very successful products is sometimes dramatically shortened. This trend will only continue and disrupt even more products and markets. Companies will not be able to predict how long any product will continue to generate adequate revenues
for continued business viability. They will constantly find
themselves in need for furiously enhancing their offerings to
keep hectic pace with constantly emerging disruptive trends.
In this work, we propose a framework for self-driving
or autonomous software development which an organization
can adopt to achieve continuous evolution of their products.
We also describe how the triple constraint of project management can be self-adjusted. We also discuss the applicability of self-driving development principles using the rapid
continuous evolution process.
Binary Study of Disability and Mental Health Policy: A Methodological Report
Petek, Ana *; Novak, Miranda *; Solin, Pia ** (* Croatia, ** Finland)
ABSTRACT:
Cross-sectoral comparisons of public policies, with a small sample and in-depth approach, are still quite rare. This study explores advantages and pitfalls of binary qualitative research design in public policy by comparing mental health and disability. Those sectors are chosen within most-similar design, as quite interconnected policies that are either gone or going through transformation from “pure” health police to broad multisectoral policy also containing diverse social, human rights, education issues, etc. Project is guided by a simple comparative question of what are similarities and differences of disability and mental health policy on European level and is based on qualitative data analysis. It uses document analysis as main data collecting method. European documents (of EU, Council of Europe, WHO and UN) within those sectors are coded by rules thematic analysis to detect main patterns / models of disability and mental health policy to be compared. Codes cover elements or features of those models: goals and objectives, instruments, target groups, problems, actors and policy-making principles. The purpose of this paper is to present transparently all methodological practices and foundations of the project to get its critical review. Therefore, paper will declare details on data gathering methods and coding procedures on sampling, codes development and test coding.
Blind Spot: Do You Know the Effectiveness of Your Information Security Awareness-Raising Program?
Scholl, Margit; Leiner, K. Benjamin; Fuhrmann, Frauke (Germany)
ABSTRACT:
Information and IT security awareness-raising measures and the evaluation of these measures are an indispensable part of today’s information and knowledge society. While the number of firms that apply such measures is increasing, surveys of corporations show that it is unusual for these measures to be accompanied by specific in-depth evaluations of their effectiveness. Since these awareness-raising measures demand resources such as time, money, and the willingness of employees, every organization should have an interest in assessing their effectiveness. To support organizations in discovering the evaluation methods and metrics that meet their individual needs, an overview of current measures for assessing effectiveness is presented in this paper. Their advantages, disadvantages, and appropriate application are discussed. At the end of the paper suggestions are given as to what direction might be taken going forward.
Brain Activity and Psychological Feelings on Four Types of Vicarious Leisure Experiences
Gau, Li-Shiue; Chang, Kang-Ming; Chen, Sih-Huei; Cheng, Jen-Son; Tang, Da-Wei; Chiu, Wen-Hong; Chi, Hui-Ru (Taiwan)
ABSTRACT:
This study investigated the brain responses when watching four experience videos referring to Educational, Entertainment, Esthetic, and Escapist experiences, a 4E model proposed by Pine and Gilmore in 1998. Twenty-seven healthy participants were recruited from college students. EEG data is recorded
along with an eye-tracker recording participants’ interests of areas in the videos. Respondents also answered a questionnaire measuring their vicarious leisure experiences (3 items per video) when watching the four videos: making paper yourself, performing a joyful song, endless fields of flowers, doing bungee jumping activity. Results of questionnaires showed that respondents did have the four types of leisure experiences when watching the four videos. Analyses of data from the eye-tracker supported the nomological validity of the experiment. The EEG power value of entertainment and esthetic is higher than the other two videos on the frontal brain region in delta rhythm, and the EEG power value of escapist video is the lowest among the four videos. Theta FCz, theta CPz, and theta P3 had significantly higher power values induced by the entertainment video than by the escapist video. The findings of this study
supported the hypothesis that different leisure experiences can be reflected in various patterns of brain responses.
Classification Techniques for Test Answer Fields in Digitized Documents
De Elias, Erik Miguel; Fogaça, Luciana Rinaldi; Milani, Vinícius; Forster, Carlos H. Q. (Brazil)
ABSTRACT:
This paper aims to present the results obtained from the application of classification algorithms to the features extracted from image processing of digitized academic tests. Within this context, and with the use of the software WEKA, we select the most appropriate classifiers for the acquired dataset in order to correctly detect and categorize answer fields. Moreover, it is shown that there seems to be a defined pattern within the answer fields of the tests that allows one to determine whether a group of objects found in the test is an answer field or not. The proposed approach is promising in the sense that there are common patterns in test fields that are independent of the printed document layout and, in future work, we intend to precisely determine whether or not a student has selected the right answer.
Community Program Evaluations: Keys to Success
Sturgill, Ronda (United States)
ABSTRACT:
As more stakeholders demand documentation of program effectiveness, program evaluation is becoming increasingly important. In addition, many funding agencies require evaluation plans which list goals and objectives in a quantifiable form. This paper identifies and discusses four evaluation keys that are crucial to the success of community programs. These evaluations keys include communication and collaboration, training, targeting the population, and reporting. Specific examples from three separate community programs will be provided. Additional examples from recent research in the field and applications across disciplines will also be discussed.
Creativity, Entrepreneurship and Happiness: Ingredients for a High Education Change
Caballero-García, Presentación A.; Guillén Tortajada, Esmeralda; Jiménez Martínez, Mª Pilar (Spain)
ABSTRACT:
The society of the 21st century continues to demand professional competences that are not sufficiently covered in university classrooms. Recent studies reaffirmed the possibility of predicting the academic performance of university students from their levels of emotional intelligence and subjective happiness. A sustainable growth, based on innovation and excellence, requires a growing number of creative university graduates with entrepreneurship skills. It is therefore necessary to promote a culture of innovation and entrepreneurship in the university environment. The present work analyze which aspects are related to the entrepreneurial spirit by offering an effective methodological framework for the university classroom that integrates the emotional intelligence, the subjective sense of well-being and the creativity as facilitator elements of the academic achievement and the professional competence that the labour market requires. The obtained results are discussed based on the necessity of a teacher training in methodological strategies, aligned with these dynamics and educational intership in different university classrooms, that engourage generate a successful and sustainable entrepreneurship, that address to the specialized labor demand claimed by the universities from sectors of the economic activity, and contributing to the personal and professional development of our students, their life quality, and the society in which they live.
Data Binding Issue in Fire Control Application for Technical Control of Artillery Fire
Blaha, Martin; Šilinger, Karel; Potužák, Ladislav (Czech Republic)
ABSTRACT:
The Czech Republic, as a member of international organizations (NATO, EU, UNO), with respect to current global security neighborhood, employs the units of the army both at its own state territory and outside the Czech Republic, in multinational forces operations. The article focuses on Data Binding Issue of future Automated Command, Control, and Information system (C2I) in conditions of the Army of the Czech Republic. The issue of automated command, control, and information systems is of high importance in the solving of asymmetrical operations tasks today and in the upcoming future. The authors define ground for designing a new and by the Army of the Czech Republic required, sophisticated Automated Fire Support Control System of Artillery meeting NATO standards in Network Enabled Capabilities (NEC) conditions. Final assessment of the particular issues is determined by analysis. The software model contains derivation, definition and reasoning of data which are essential for the effective artillery fire in condition of modern software tool - Data Binding. The Czech Artillery units need to have intuitive system for mathematical computations which assures prediction capabilities for adequate fire support provision - PVNPG-14M. This software should be the best choice in current conditions. The article represents section of a huge defensive research project of Ministry of Defence of the Czech Republic and the Army of the Czech Republic solved by leading scientists of the University of Defence in Brno.
Data Mediation with Enterprise Level Security
Foltz, Kevin E.; Simpson, William R. (United States)
ABSTRACT:
Enterprise Level Security (ELS) is an architecture for enabling information sharing with strong security guarantees. It is built upon basic tenets and concepts that shape its component technologies and implementation. One challenge in sharing information is that the source and recipient of the
information may use different units, protocols, data formats, or tools to process information. As a result, a transformation of the data is needed before the recipient can use the information. These conversions introduce potential security
weaknesses into an ELS system, so an approach for enterprise-wide mediation is required. Methods in common use today, such as a man-in-the-middle (MITM) translation and an online mediation service, do not preserve the basic ELS tenets and concepts. This paper examines these existing approaches and compares them with two new approaches designed to preserve ELS security. It looks at the complete picture of security, performance, and ease of implementation, offering a framework for choosing the best mediation approach based on the data sharing context.
Decentralization and Educational Governance in Taiwan
Chen, Robin Jung-Cheng (Taiwan)
ABSTRACT:
In 1999 Taiwan government officially launched Education Fundamental Act, which becomes the flagship program of empowering local governments to bear more responsibility in education. This study will argue that although this transformation is mainly affected by the thought of neo-liberalism ideology, shrinking back the central control, not many local governments take transformation as the opportunity to get themselves improved in education policy making. According to the Education Fundamental Act, each local government in Taiwan needs to set up an Educational Review Board as the primary local education policy making mechanism, consisting of mayor, head of local education authority, teachers union, parents association and scholars. The paper investigates the operation of Educational Review Board by adopting interviews and documental analysis..
Design Strategies for a Big Mosque to Reduce Electricity Consumption in Kingdom of Saudi Arabia
Al-Shaalan, Abdullah M.; Alohaly, Abdul Hameed A.; Ko, Wonsuk (Saudi Arabia)
ABSTRACT:
This study proposes and analyzes the design approaches for a Big Mosque to conserve electricity consumption in Kingdom of Saudi Arabia. Mosques are characterized by a unique function and operating schedule that are not typical to other types buildings. In this study, the effects of zoning and partitioning are investigated. To demonstrate the effectiveness, one of the Riyadh city grand mosques is identified as a model to explore the most appropriate ways to conserve energy. Three cases are simulated by eQuest which is designed to perform detailed analysis of sophisticated building energy use. First, the mosque with inefficient materials, second the mosque with effect materials and without zoning and finally the mosque with zoning and efficient materials. Simulation results show that some of the important energy conservation techniques should be applied in the construction phase.
Design, Simulation and Manufacture of Human Propulsion Vehicle with Frontal Tilting Suspension
Rodríguez-Mora, José-Isrrael; Vázquez-Báez, Víctor-Manuel; Candia-García, Filiberto (Mexico)
ABSTRACT:
This work presents a human propulsion vehicle called "Fenrir",
offering an ecological transport, ergonomic, low cost, with high
stability and safety thanks to its simple operation, little
maintenance required and reinforced structure. This type of
vehicle is able to circulate in urban and rural areas, due to the
two front wheels with tilting suspension, aluminum wheels and
asphalt tires and to the rear with steel wheel and mountain tire;
With emphasis on unpaved areas, since in some places transport
in small vehicles driven by human force is the only means of
moving because of poor development or difficult accessibility.
In addition this vehicle is very reliable because of the type of
configuration that presents with two wheels in the front and a
rear, thus achieving a greater stability of the same in the straight
sections at high speed and reducing the turning radius in the
curves. For the manufacture of this vehicle, the most suitable
material was sought, adhering to the demands of use and
exposure to the environment. A 6111 and 5754 aluminum was
used. It has different applications, excellent extrudability,
sufficient mechanical resistance, high resistance to Corrosion,
good surface finish and adequate lightness. Effort simulations
and nondestructive testing were performed to determine the
stresses and potential failure sites.
Development Status of Active Disturbance Rejection Control
Hong, Yuan; Cheng, Xuemin (China)
ABSTRACT:
In recent years, with the further demands of control systems, different kinds of conventional proportional-integral-derivative (PID) controllers, which are driven by error feedback, are not able to meet the requirements. Thus, Active Disturbance Rejection Controller (ADRC) performing better in robustness and scope of application, which is developed by Jingqing Han, has been developed in recent years. A discussion on ADRC is investigated in this paper. A good ADRC is composed of proper tracking differentiator (TD), extended state observer (ESO) and nonlinear state error feedback (NLSEF). It can eliminate the influence of total internal and external disturbances by using the state parameter estimation in advance. Because of these advantages, ADRC can be applied in almost all domains of control engineering, such as motion control, speed control of permanent-magnet synchronous motor, flight control, attitude tracking of spacecraft, gasifier benchmark problem, etc. Through compared analysis with the applications of PID controller in industry areas, the priorities of ADRC are discussed in detail. Meanwhile, some basic rules of adjusting parameters of ADRC are summarized to promote its spread and application.
Dialectal Atlas of the Arab World - between Intention and Reality
Redkin, Oleg; Bernikova, Olga (Russian Federation)
ABSTRACT:
Arabic dialectology has a long history and achieved significant progress in collecting and analyzing linguistic data and its classification. During the last century several attempts have been undertaken to create dialectal atlases of different regions of the Arab world. Besides this, considerable work also has been done on synchronous descriptions of modern and ancient Arabic dialects. Meanwhile these researches do not always reflect fully and adequately the current state of the dialectal continuum, which underwent significant transformations as a result of social and economic changes in the region, development of new technologies. Globalization and leveling of dialectal differences, spread of languages of international communication will lead to disappearance of small dialectal groups and vernaculars, among them those that are not sufficiently described or are little known at all, which presupposes their urgent investigation. In recent years digital methods of research open new horizons for scholars and put on the agenda the task of building of the dialectal atlas of the Arab world basing on the previous experience and data collected as well as application of ICT.
Digital Forensics Compute Cluster (DFORC2) – A New High Speed Distributed Computing Capability for Digital Forensics
Gonzales, Daniel; Winkelman, Zev; Tran, Trung; Sánchez, Ricardo; Hollywood, John; Woods, Dulani (United States)
ABSTRACT:
We have developed a new distributed computing capability, Digital Forensics Compute Cluster (DFORC2) to speed up the ingestion and processing of digital evidence. DFORC2 parallelizes evidence ingestion and file processing steps. It can be run on a standalone server or in the Amazon Web Services (AWS) cloud. When running in a cloud computing environment, its cluster resources can be dynamically scaled up or down using Kubernetes. DFORC2 is an open source project that uses Autopsy, Apache Spark and Kafka, and other open source software packages. It extends Autopsy’s forensics capabilities to compute clusters and cloud architectures, so key digital forensics tasks can be accomplished simultaneously by a scalable array of cluster compute nodes. In this paper we compare the performance of a DFORC2 with a standalone version of Autopsy for evidentiary hard drives of different sizes.
Educational Biotechnology: Teaching and Developing for the Future
Castro, Helena Carla; Serpa, Fernanda; Cavalcanti, Antonia; Pereira, Miriam; Paixão, Izabel; Cisne, Rafael; Fiaux, Sorele Batista; Campello, Ana Regina; Delou, Cristina Maria (Brazil)
ABSTRACT:
Biotechnology is an important area that hugely contributes to the society - from the transgenic plants that may feed millions (eg. Bt corn), to the engineered and/or cloned molecules to fight against people diseases (eg. recombinant insulin). Currently Biotechnology area is divided into subareas accordingly to
topics (eg. Health) and colors (eg. red). However, most articles and homepages do not mention or recognize the importance of the educational approach of the biotechnological themes as well as the educational/orange biotechnology subarea. Due to the importance of Biotechnology, we need not only to recruit new brains to work on it but we also inform widely and correctly the society about it. In this work we reinforced the need of the recognition of the educational/orange biotechnology subarea by describing three different strategies to spread and teach about Biotechnology including: a) addition of educational/orange biotechnology definition in Wikipedia in different languages, b) organization of open events with sign language interpreters for deaf and blind-deaf people, and c) development of a strategy to catch young brains to biotechnology area in a Brazilian public schools stimulating their option for biotechnology careers.
Ethical Implications in the Way Some Marketing Activities is Using Big Data
Prado, Adriana da Glória; Chiareto, Joice; Oliva, Fábio Lotti; Grisi, Celso Cláudio de Hildebrand e (Brazil)
ABSTRACT:
Big Data has been used by managers to expand their ability to measure results and make decisions (Brynjolfsson & McFeem, 2012). In Brazil, companies still operate in a certain lack of regulations. Although existence of specific laws is not considered always sufficient to deal with all potential abuse of Big Data, (King & Richards, 2014). In this context, the purpose of this paper is to discuss the ethical implications of using Big Data tools in marketing activities. This work is a case study conducted in a Brazilian company of the loyalty program market. The data were obtained through an interview with a marketing manager working with Big Data and also through documents provided by the company. Data were analyzed using content analysis. The organization internally adopts specific rules to avoid abuse of Big Data. One of them would be to not use data that the customer is unaware of having made available, such as those related to certain consumer interactions on platforms such as Facebook. Despite these practices, the organization still does not have a comprehensive and official policy regarding the ethical implications of using Big Data.
Experimental Comparison of the Implementation of MVC in Java and C#
Alanís Urquieta, José David; Sánchez Flores, Guillermo; Morales Riveroll, Mariel Pamela; López Méndez, Eduardo; Bermúdez Juárez, Blanca (Mexico)
ABSTRACT:
In this work it presents of experimental way a comparison of the implementation of design pattern MVC (Model View Controller), in where it is performed a simulation of MEMS accelerometer-type (Micro Electromechanical Systems by its acronym in English) with visualization, since it has a set of data
coming from of the numerical solution of the type bi laplacian partial differential equation solved by the finite differences method, that represents the material’s deformation with the device has been built. In this problem it has evaluated the aspects of usability, functionality, portability, scalability and accessibility of the
implementation of MVC in Java and C#. The OpenGL API (Application Program Interface) it can be implemented in many programming languages without changes neither important adaptation, this make possible to evaluate the applications of generic way. The convenient use of the design pattern in the implementation of a tool to simulation with visualization results interesting of
evaluate, moreover it expected obtain more than an absolute opinion, a rule to allow the evaluation of another design pattern to solve similar problems. At last this experimental process is underway already, however it expected to help in the choice of programming language to other simulations of MEMS devices.
Explaining the AMST Model: Using Arts, Maths, Science, and Technology in an Upgraded Problem-Based Learning Approach
Daleure, Georgia (United Arab Emirates)
ABSTRACT:
Recent literature has touted the importance of the Science, Technology, Engineering, and Mathematics (STEM) curriculum model as the best way to develop a problem-based inquiry in the technology-rich, globally-connected 21st century learning environment. While this approach provides an interesting and valuable approach, not all students are excited, stimulated, and motivated by scenarios centered around engineering concepts and falls short of addressing important competencies that have little or no acknowledgement in the STEM curriculum model. The missing elements include the purpose and the consequences and developing the 21st century skills needed in knowledge economy jobs. By adding modules in which an arts discipline serves as the central point of the instructional scenario, students can be exposed to a broader range of interest provoking experiences. For lack of a better acronym, AMST is used representing the components of Arts, Math, Science, and Technology, to refer to a problem-based curriculum using arts-based central scenario components serving to support integrated sub-modules of maths, science (which may include engineering), information literacy, and computing technology.
Exploring the Mutual Relationship between Research and Consultancy for a Commercial Design Product in the Area of Communication Design
Yildirim, Yasemin; Orhun, Simge Esin (Turkey)
ABSTRACT:
Due to challenges brought by the advancements in information
technologies, transferring the knowledge and obtaining effective
solutions in the early design process has gained importance, as it
has become very difficult to obtain the desired efficiency and
user satisfaction of any service of a product, if it has been
developed in the methodological perspective of one discipline.
This paper tries to explore the potential of the discipline of
Communication Design (CoD) to provide consultation to
engineers, with regard to its expertise on developing interactions
and methodologies for the design of tools and products using
advanced technology. For this purpose, a research was conducted with the aim of giving consultancy for the analysis of the efficiency of four kiosks located in Ozyegin University and four
alternative user scenarios, which were developed in collaboration
with CoD students in Interaction Design Ergonomics course of
the 2015 Fall semester, were shared with the provider group. The outcomes brought by the relationship between research and
consulting are discussed in terms of obtained achievements and
benefits for researchers, design students as well as engineers.
Flexible Optoelectronic Technology Applied in Organic Light Emitting Diode (OLED)
Guedes, Andre F. S.; Tartari, Simone; Guedes, Vilmar P.; Cunha, Idaulo J. (Brazil)
ABSTRACT:
The development of Flexible Optoelectronic applied in Organic Light Emitting Diode (OLED), using an flexible optically transparent substrate material and organic semiconductor materials, has been widely utilized by the electronic industry when producing new technological products. The OLED are the base Poly (3,4-ethylenedioxythiophene)-Poly(Styrenesulfonate), PEDOT:PSS, and Poly[2-methoxy-5-(2-ethylhexyloxy)-1,4-phenylenevinylene], MEH-PPV, were deposited in Indium Tin Oxide, ITO, and characterized by UV-Visible Spectroscopy (UV-Vis), Optical Parameters (OP) and Scanning Electron Microscopy (SEM). The result obtained by UV-Vis has demonstrated that the PET/ITO/PEDOT:PSS/MEH-PPV layer does not have displacement of absorption for wavelengths greaters after spin-coating. Thus, the spectral irradiance of the OLED informed the luminance of 180 Cd/m2, and this result, compared with the standard Light Emitting Diode (LED), has indicated that the OLED has higher irradiance. After 2000 hours of electrical OLED tests, the appearance of nanoparticles visible for images by SEM, to the migration process of organic semiconductor materials, was present, then. Still, similar to the phenomenon of electromigration observed in connections and interconnections of microelectronic devices, the results have revealed a new mechanism of migration, which raises the passage of electric current in OLED.
Flexible Synthetic Semiconductor Applied in Optoelectronic Organic Sensor
Guedes, Andre F. S.; Tartari, Simone; Guedes, Vilmar P.; Cunha, Idaulo J. (Brazil)
ABSTRACT:
The synthesis and application of new nanostructured organic materials, for the development of technology based on organic devices, have taken great interest from the scientific community. The greatest interest in studying organic semiconductor materials has been connected to its already known potential applications, such as: batteries, organic solar cells, flexible organic solar cells, organic light emitting diodes, organic sensors and others. Phototherapy makes use of different radiation sources, and the treatment of hyperbilirubinemia the most common therapeutic intervention occurs in the neonatal period. In this work we developed an organic optoelectronic sensor capable of detecting and determining the radiation dose rate emitted by the radiation source of neonatal phototherapy equipment. The sensors were developed using optically transparent substrate with Nanostructured thin film layers of Poly(9-Vinylcarbazole) covered by a layer of Poly(P-Phenylene Vinylene). The samples were characterized by UV-Vis Spectroscopy, Electrical Measurements and SEM. With the results obtained from this study can be developed dosimeters organics to the neonatal phototherapy equipment
Hospitals Dynamic Status System. Define & Apply Bed Management Cycle Workflow Using New Technique
Al Belooshi, Kalthoom Mohammad (United Arab Emirates)
ABSTRACT:
New method to monitor beds utilization 24/7 across the Ministry hospitals. Categorized per international standards, combined according to the organization needs, searchable in multi-level, designed to focus on specific points for day-to-day usage, and for higher management views. Hospitals Dynamic Status system was developed from scratch in two main levels, hospital level and ‘Management Sight’ level. Hospital level provides all hospital-related data in a hierarchy structure for different groups in the hospital, while Management Sight combines all Ministry of Health & Prevention hospitals under one umbrella. AS-IS and gap analysis were done at all hospitals’ floors to identify weak points of bed management cycle. All wards & units’ names were revised and unified across the Ministry hospitals, bed numbers and labels were reinitialized using unified methodology. Moreover, Electronic Medical Record locations structure has been adjusted accordingly. Staffing status is another point that covered in this system, a record is kept to determine staffing quantity per category, per clinical area, 24/7. One of the targets is to cover the need of the “manual” ground round in case of disaster, by making the hospitals readiness report ultimately available, paperless and seamless.
How Management Consulting Creates Knowledge
Ciampi, Francesco (Italy)
ABSTRACT:
Management consulting firms are the archetypes of knowledge-intensive firms. However, the subject of knowledge creation potential that can be activated through management consulting interventions still remains a largely unexplored research area. This article adopts a knowledge perspective for interpreting management consulting and proposes a conceptual mapping of the knowledge creation potential which can be activated trough management consulting projects. The proposed model highlights that this potential lies in the possibility of creating not only explicit, but also (and mainly) new tacit knowledge. The proposed conceptual framework may enable both clients and consulting firms to more consciously establish knowledge creation goals, to more effectively manage their cooperative learning dynamics, and to evaluate the cognitive value (together with the economic value) of the consulting intervention results.
Human Project: Looking for Teaching and Contextualizing Complex Concepts
Castro, Helena Carla; Povoa, Beatriz; Viana, Juliete; Rodrigues, Carlos R.; Lima, Neusa R. W. (Brazil)
ABSTRACT:
Thinking and some previous knowledge are important for understanding complex contents such as those involving health, biology, and biotechnology themes. Therefore, it is necessary the contextualization of these complex concepts, presenting them to the society as applied as we can. This is even more necessary when it comes to teach people with special needs such as deaf community. These people need the extensive use of visual strategies that should be highly explored so they may access these contents using their sight, their main sense. Thus, our purpose was the creation of the Human Project, which aims to offer the contextualization of complex themes, such as those from Biotechnology area, for teaching deaf and hearing people about it in a inclusive way.
Identifying Varying Health States in Smart Home Sensor Data: An Expert-Guided Approach
Fritz, Roschelle L.; Cook, Diane J. (United States)
ABSTRACT:
The aging population is growing and innovative solutions are needed to address older adults’ complex health needs while concurrently extending the reach of the nurse. One emerging solution is the health-assistive smart home. The smart home uses ambient sensors to monitor the movement of older adults and intelligent algorithms to detect changes in health states. Alerts are provided to patients, family and caregivers so older adults can receive timely interventions. Adding a clinician-in-the-loop when training machine learning algorithms may improve the machines ability to accurately identify and predict changes in health states that have clinical relevance. At Washington State University, the CASAS team uses a clinical nurse-expert in a guided approach to machine learning. Here, we describe the expert guided approach, discuss current challenges and offer suggestions for future machine learning research in the area of health-assistive smart homes.
Improvement in the Physical and Psychological Well-Being of Persons with Spinal Cord Injuries by Means of Powered Wheelchairs Driven by Dual Power Wheels and Mobile Technologies
Yang, Yee-Pien; Weng, Li-Jen; Yeh, Ye-Yu; Mao, Hui-Fen; Chang, Ray-I. (Taiwan)
ABSTRACT:
This study unites researchers from the fields of psychology, occupational therapy, and engineering to improve the holistic physical and psychological well-being of persons with spinal cord injury (SCI) by using assistive devices (i.e., wheelchairs) and mobile technology (i.e., cell phone and network). These technologies are used to bring patients with SCI through the difficult period of rehabilitation and to return them to their daily life in school or the working environment. First, a SpinoAid Application (APP) is developed to motivate persons with SCI to participate in the community after their injury. Second, we integrate mobile technology with a mobility assistive device to design a smart wheelchair, which is innovated by transforming the pushrim of a manually driven wheelchair into a rim motor. After the rim motor is combined with a battery, a brake, and a controller to become a power wheel, two power wheels are installed on both sides of the wheelchair to become a powered wheelchair. Third, a SmartChair APP is developed with the main functions of reminding persons with SCI to perform exercises, recording the physical condition and the wheelchair using status, and building up a social network for information sharing to increase their exercise habit, prevent cumulative injuries or discomfort of the upper extremities, and enhance their health and quality of life.
In the Moment: A Phenomenological Case Study of the Dynamic Nature of Awareness and Sensemaking
Power, Faith B. (United States)
ABSTRACT:
Sensemaking, the ability to make sense of what is going on in a changing and complex environment, is a particularly important characteristic in organizations where innovation is critical. The level of innovation capability within organizations is connected to the ability of making the right sense of collective experiences, especially in uncertain or ambiguous moments. Sensemaking is the process through which information and ideas come together
in a meaningful way, giving one insight into novel concepts and approaches to business.
Integrating Architectural Approaches in Communication Design Education to Improve Awareness in Affordance Design
Orhun, Simge Esin (Turkey)
ABSTRACT:
The expansion of the range for the design of products in the field
of Communication Design (CoD) calls for new teaching
strategies to be sought by educational scholars due to the intense experience of digital natives with the digital tools and
technology. In order to equip CoD students with better
understanding of the importance affordance design for
developing new tools and applications, this paper proposes an
educational model that is based on the concepts of the discipline
of architecture. By making use of analogical thinking, the formbased aspects of architectural design are adapted to the virtual aspects of communication design and have been applied in the studio design course that focuses on spatial communication
between the years of 2009-2012 with 3 different versions of the
design brief. Having based the research on a real-life problem,
the outcomes reflected the benefits of making use of specialized
knowledge of different disciplines in order to solve problems,
whose solutions are beyond the scope of one discipline.
Integrating Teaching, Research and Problem Solving: An Experience in Progress at Mucuri Valley Region (Brazil)
Barroso, Leônidas (Brazil)
ABSTRACT:
This short article describes an interdisciplinary project that seeks to integrate teaching, research and real life problem solving. It concerns to the question: how to achieve development respecting the natural resources of the Mucuri Valley region in the states of Minas Gerais and Bahia, Brazil. Using geographic information as a guiding axis, the technological support for interdisciplinary dialogues is provided by Geographic Information Systems, integrating data, information, techniques, methods and people from different fields of knowledge
Interpretation of the Results of a Case Study about Impacts and Influences of Exogenous Variables in the Planning of Chronogram and Budget in Software Projects
Moraes, Altino José Mentzingen de (Brazil)
ABSTRACT:
This paper is focused in the interpretation of a Case Study results. This Case Study was based in an article, of the same author of this paper, presented in an international congress (IMCIC 2015) held in Orlando - Florida / USA in March of 2015. This article obtained the Best Paper Award (http://www.iiis.org/bestpapers.asp?year=2015)
of the Technical Session which it was presented in IMCIC 2015.
Besides to have been included in IMCIC 2015 proceedings, as a
complementary award, this same article was published in an
Academic Journal.
The 2 (two) main points of this Case Study were:
1. Evaluate if the capture of the data to register in the
Formulary proposed, by the IMCIC 2015 article, was easy
or had some difficulties;
2. Evaluate the accuracy between the data captured, under the
rules of the IMCIC 2015 article proposal, and the reality
found in 9 (nine) Organizations that were involved in this
Case Study survey.
Issues Affecting Teens’ Privacy Behavior in Social Media
Zurita, Harry; Pombar, Pedro (Ecuador)
ABSTRACT:
This article provides recommendation to increase the privacy protection of teens in social media. Many areas are analyzed to develop these recommendations. First, it presents two types of teen behaviors towards risk; Privacy risk-taking behaviors and Privacy risk-coping behaviors. Then, the intrinsic factor that affects the behavior of teens such as their perceived importance of privacy, their self-efficacy towards privacy, past bad experiences, peers’ concerns and gender. Thirdly, it discusses teens and parents’ strategies to protect teens privacy. It analyses the need for parents to apply both strategies direct intervention and active mediation to appropriately shape their teens’ privacy behavior. Then, it discusses the risk-centric model where teens develop their skills to protect their privacy when they face moderate real threats. Lastly, this report analyzes different recommendations that are clustered in three categories. The first category is about teens’ education towards privacy behavior in social media. The second category talks about the role of external individual’s (parents, teachers, and peers) in the education towards teen privacy. The last category remarks the improvements required in the development of Software and Technologies to address these.
Measuring the Value of Enterprise Architecture on IT Projects with CHAOS Research
Kurek, Eaglan *; Johnson, James **; Mulder, Hans * (* Belgium, ** United States)
ABSTRACT:
This paper reports the findings of a explorative quantative study on the value of Enterprise Architecture (EA) on IT projects. In this study, we contribute to the research on the value of Enterprise Architecture by providing explorative empirical indications for the effects of Enterprise Architecture on 3076 IT projects in 28 organizations. These findings assist an understanding about the various effects of EA. In summation, our study provides strong indications for the value of Enterprise Architecture on IT projects and sets the foundation for further study in the matter.
Mining the Frequent Itemsets for a Database with Certain and Uncertain Transactions
Wazir, Samar; Beg, M. M. Sufyan; Ahmad, Tanvir (India)
ABSTRACT:
Frequent Itemset Mining (FIM) is an important technique of analyzing data that can extract associations inside data. In the race of calculating frequent items efficiently using certain (precise) or uncertain (probabilistic or fuzzy) transactional database on single or distributed system, various sequential and parallel algorithms have been developed. Apriori, Count Distribution, UApriori and Uncertain Data Mining can be viewed as first and basic algorithms for calculating frequent items respectively on precise, distributed, probabilistic uncertain and fuzzy uncertain transactional databases. We proposed a new method for calculating frequent items on a fuzzy uncertain transactional database named as FuzzyApriori. Then, Introduced a new method to calculate frequent items on distributed system as Approximate Frequent Itemsets for a combination of certain and fuzzy uncertain transactional database as FuzzyMasterApriori. The performance of proposed FuzzyApriori is compared with UApriori, and the performance of proposed FuzzyMasterApriori is compared with the MasterApriori by carrying out different experiments on synthetic data and FIMI repository data. We got significantly improved results, as well as experiments, show the high scalability of proposed algorithms.
Optimal Normal Form Database Development for Cooperative Systems
Pornphol, Putsadee; Naveevong, Chantinee; Chitayasothorn, Suphamit (Thailand)
ABSTRACT:
Currently, information technology has gained interests in various ways and has been used by almost all businesses. The development of information technology has affected wider areas in every industry, both private and public. Information systems are beneficial to the management of the organization or agency. They allow users in each level to access information and use that information quickly, allow executives to use data from the information systems in strategic management of the organization correctly, help in the monitoring and controlling of the operation clearly and accurately, help analyze and fix problems that occur, and reduce costs and working time. It can be concluded that any agency or organization that makes use of information systems in the operation and management at each level of the organization is moving in the right direction. However, the information systems must be based on the development of systems that are accurate, reliable, and on the cutting edge of technology. Saving and credit cooperative is another kind of agency that emphasizes on service and management by information systems, since the operation needs accurate information and cannot tolerate database update anomalies, because it is a system that is related to financial management. Information systems that have been used are either developed specifically for particular organizations or as a software package. The database for the system must have the best structure and integrity constraints clearly modelled on a conceptual schema. Since the use of the Entity Relationship Model (ER Model) cannot always guarantee the fifth normal form (5NF) relational database schema, another conceptual schema model is required. The NIAM/ORM (Nijjsen’s Information Analysis Methodology/ Object Role Model) which guarantee the Optimal Normal Form (ONF) is used instead. The ONF is defined as the 5NF which has the smallest number of tables.
Parallel Prediction of Stock Volatility
Jenq, Priscilla; Jenq, John (United States)
ABSTRACT:
The financial industry is an industry that requires multi-disciplinary expertise. To be a good financial engineer, one should possess skills in math, finance, economics, and coding. Volatility is a measurement of the risk of financial products. A stock will hit new highs and lows over time and if these highs and lows fluctuate wildly, then it is considered a high volatile stock. Such a stock is considered riskier than a stock whose volatility is low. High tech stocks usually have high volatility. Although these stocks are riskier, the returns that they generate for investors can be quite high. Of course, with a riskier stock also comes the chance of losing money and yielding negative returns. In this project, we will use historic stock data to help us forecast volatility. The financial industry usually uses S&P 500 as the indictor of the market. Therefore, S&P 500 would be a benchmark to compute the risk. We will use artificial neural networks as a tool to predict volatilities for a period of time frame that will be set when we configure this neural network. There have been reports that neural networks with different numbers of layers and different numbers of hidden nodes may generate varying results. As a matter of fact, we may be able to find the best configuration of a neural network to compute volatilities. We will implement this system using the parallel approach. The system can be used as a tool for investors to allocating and hedging assets.
Predicting User Competence from Text
Woldemariam, Yonas (Sweden)
ABSTRACT:
We explore the possibility of learning user competence from a text by using natural language processing and machine learning (ML) methods. In our
context, competence is defined as the ability to identify the wildlife appearing in images and classifying into species correctly. We evaluate and compare the
performance (regarding accuracy and F-measure) of the three ML methods, Naive Bayes (NB), Decision Trees (DT) and K-nearest neighbors (KNN), applied
to the text corpus obtained from the Snapshot Senrengeti discussion forum posts. The baseline results show, that regarding accuracy, DT outperforms NB
and KNN by 16.00%, and 15.00% respectively. Regarding F-measure, K-NN outperforms NB and DT by 12.08% and 1.17%, respectively. We also propose
a hybrid model that combines the three models (DT, NB and KNN). We improve the baseline results with the calibration technique and additional features. Adding a bi-gram feature has shown a dramatic increase(from 48.38% to 64.40%) of accuracy for NB model. We achieved to push the accuracy limit in the baseline models from 93.39% to 94.09%.
Preliminary Design of Safety Service for Connected Bicycles
Kim, Jin-Tae (South Korea)
ABSTRACT:
This study delivers a preliminary design of real-time safety services for advanced connected bicycles. The study proposed eight-safety services derived from combining the historical patterns of bicycle accidents in the past, and the insights of five experienced traffic engineers in the advisory group, reflecting the
futuristic environment that the past historical data could not explain. A field survey conducted with bicycle and motorcycle riders has supported that the proposed services cover the practical situations. The proposed services exclude the ones known for four-wheeled connected vehicles in order to avoid redundancy in service definitions. Three of the services would be applicable in
the near future, while the rest be after further development of the c-ITS infrastructure information systems. A pilot experiment showed that elderly riders preferred to have a crossing-collisionwarning service, while the young preferred to have a frontcollision- warning service. The survey interview conducted
before and after the experiment revealed they preferred auditory warning signals after the experiment, while they expected tactile warning signals before the one. This study was to encourage the futuristic progress of the associated industries by stimulating the positive motivation to develop related techniques and equipment.
Proposal of a Bus Location System Based on Participatory Sensing with BLE Devices and Smartphones
Naito, Katsuhiro; Tanaka, Katsuyuki (Japan)
ABSTRACT:
Bus location systems are focused to enhance service quality of public transportation. The traditional issues in the bus location system are difficulties to install expensive special devices and expensive operational expenses for network systems. Recently, some researchers utilize smartphones to measure the environment and to collect information. Additionally, participatory sensing
methods, where many common people collaborate to collect data with their own smartphone, have been focused for bus location systems. On the contrary, the developed application for the participatory sensing method has an issue of energy management because the application works continuously in a background process, and consumes much energy. This paper proposes a collaborative mechanism with Bluetooth Low Energy (BLE) beacon devices and smartphones to realize a bus location system. The proposed mechanism employs BLE devices as a beacon device that triggers our special application for smartphones. Therefore, the special application can be automatically launched when a beacon message arrives on the smartphone, and it does not work continuously in a background process. As a result, the proposed system can collect bus location by smartphones in participatory sensing manner without excess energy consumption. In the experiment, we have set up for the bus route of our university transportation service into the smartphone application. Experimental results demonstrated that the developed application can measure its position by a location service and upload the measurement location automatically.
Proposal of Automated Data Collection Scheme for a Field Sensing System
Naito, Katsuhiro; Yamada, Kengo (Japan)
ABSTRACT:
Field sensing systems for agriculture are a new method to increase agricultural production. Since device price is becoming reasonable, various types of sensing systems have been proposed. Typically, conventional systems use a cellular network, WiFi, IEEE 802.15.4, etc., because a cellular network is reliable and WiFi and IEEE 802.15.4 are suitable to create a local mesh-network. Recently, some researchers focus on Bluetooth communication to collect information from sensor devices to a smartphone. However, typical conventional systems have an issue for energy consumption by an application on a smartphone because the application tries to find a sensor device continuously in a background process. Additionally, some iOS applications do not work well because iOS does not permit the continuous background processing. This paper proposes a new automated data collection scheme for a field sensing system. The proposed
system employs the iBeacon function to activate a suspended application. As a result, it can realize automated data collection and can reduce energy consumption by the application. We have developed a sensor device with a temperature, humidity, air pressure and soil moisture sensors, and a special iOS application. The experimental results demonstrate that the application can obtain measurement information automatically when the smartphone exists near the sensor device.
Research on Vibration Control of Hydraulic System Pipeline
Xin, Dekui; Nie, Songlin (China)
ABSTRACT:
Pipeline vibration is one of the biggest security risk of hydraulic system that seriously affected the work efficiency of hydraulic system. In this paper, a hydraulic pipeline vibration reduction scheme based on semi-active control was proposed. The system is composed of single rod shear valve type MR damper,
controller, driver and sensor. The controller outputs control signal through control algorithm according to the vibration information of pipeline that collected by sensors, and then the driver adjust the control current of MR damper according to the control signal of the controller. Finally, the damper's damping
force was adjusted. In order to solve the problem of nonlinear and time delay in semi-active control system, an intelligent predictive feedback control strategy that based on the combination of intelligent control and predictive control was
proposed. The adaptive ability of the intelligent control algorithm was used to overcome the nonlinear problem of the semi-active control system, and the predictive control algorithm was used to compensate the time delay of semi-active control system. According to the vibration information of the hydraulic
pipeline, the semi-active vibration control system using intelligent predictive feedback control algorithm to control the MR damper to consume the vibration energy of the hydraulic pipeline.
Risk and Safety Assessment of Special Systems
Stodola, Jiri; Furch, Jan (Czech Republic)
ABSTRACT:
The article deals with the methodology to assess the safety aspects of special (military, software etc.) systems. Safety is generally considered as one of the primary objectives in the special programmers and requires to be given equal priority with reliability, maintainability, performance, cost and timescale during all phases. A safety assessment is performed to identify, assess and eliminate (or reduce to an acceptable level) the effects of hazards.
Should I Take this Call? Understanding Interruption Response Decision-Making in Mobile Phones
Grandhi, Sukeshini *; Raban, Daphne **; Jones, Quentin * (* United States, ** Israel)
ABSTRACT:
Mobile phones not only increase our availability for communication anytime, anywhere, but also interrupt us anytime, anywhere. This paper empirically examines the role of local context (e.g. activity/location where one receives the call) vs. the relational context (e.g. what the phone call is about and from whom) in how people make decisions to answer or ignore phone call. Using both quantitative (N=101) and qualitative (N=10) methods, we gathered data on people’s cellphone handling practices. Analysis of the data reveals that 1) people are influenced by the vailability or unavailability of relational context in making call handling decisions and are rarely influenced by their local context alone; 2) people predict the value of a call to be significantly different before engaging in the call than the value they perceive after the call. Our qualitative data confirmed that the low availability of relational context information not only led to misjudgment of call value but also suboptimal call handling decisions. Together our
findings suggest that designing cell phone interfaces that display relational context information can support people in accurately gauging the value of incoming calls to appropriate response decisions in social and professional contexts.
Solving Business Problems Together Case: A Master’s Degree Programme in Finland
Jakubik, Maria (Finland)
ABSTRACT:
This descriptive, single, intrinsic case study seeks to answer the following questions: Why should business practitioners and educators work together in solving business problems? How are the business problems of companies handled in a master’s degree programme in Finland? The case study is based on multiple sources of documents collected and developed during the ten years of the programme. It demonstrates that solving authentic business problems in a learning community of business practitioners, i.e. students, as well as educators, i.e. teachers and thesis advisors, leads to solutions that satisfy practitioners, educators, and the business community. This case is an example of how solving business problems together contributes to the better performance of businesses and a better society in Finland.
Some Selected Application Areas as Supported by the Latest SMART High Tech ICT
Soltes, Dusan (Slovakia)
ABSTRACT:
The paper is dealing and presenting results of our ongoing research under the framework of our EU/7FP/Sec./SMART that has been focus on application of the latest smart ICT in five selected problem areas viz. e-Government, Border control, Counter-terrorism, Consumer protection and Smart surveillance in cyberspace. At this time the most important problem areas among these five selected application areas have been the protection of the protection of the Schengen external borders of the EU and closely related problems of the fight against terrorism. In difference to the existing critical situation with the illegal immigration and thus also the growing thread of terrorism in the EU, the paper is clearly demonstrating that the existing system of application and proper utilization of the latest smart ICT in addition to be supported by the strong and demanding EU “aquis communautaire” for the Schengen external border system is able fully and completely protect the territory of the EU against any threads of terrorism. In the following parts of this paper we are presenting some more details on the issues of the smart ICT not only in the case of protection of the Schengen external borders of the EU and in the fight against the terrorism but also in remaining other three application areas of our above mentioned SMART EU funded project.
Speech Synthesis in Mexican Spanish Using LSP as Voice Parameterization
Franco, Carlos; Herrera, Abel; Escalante, Boris; Del Río, Fernando (Mexico)
ABSTRACT:
A voice parameterization using Line Spectral was implemented to a Mexican Spanish HMM-based Speech Synthesis System. Five phrases were synthesized and statistically validated by applying a MOS test to 30 listeners who analyzed the original voices compared to a synthetic voice. Results were compared to previous work where MFCC was used as voice parameterization, the comparison shows that LSP parameterization is above the mean score and pointed better than MFCC.
Statically Typed Domain-Speci fic Language to Define Syntax Rules
Maeda, Kazuaki (Japan)
ABSTRACT:
This paper describes design of a domain-speci c language to specify syntax rules based on Kotlin, which is a modern statically typed programming language.
Typical parser generators do not analyze the action code attached in the syntax rules. If we write action code containing a trivial syntax error, they generate
source code still containing the syntax error. To resolve this situation, an internal DSL to de ne syntax rules was designed as a subset of Kotlin. In the
author's preliminary experience, productivity was improved in the design and implementation of parsers.
Student-Lead, Interdisciplinary Project-Based Learning for Continuous Success in Animation Education
Holladay, Seth; Adams, Brent (United States)
ABSTRACT:
In the animation industry, as with many other industries, there is a demand for not only skilled artisans but also creative thinkers, problem solvers, leaders, and communicators. As a very small animation program at Brigham Young University (BYU) competing against large programs at art schools, we have to play to our strengths as a program and university. This incorporates interdisciplinary, collaborative mentored experiences to help students develop both specific skills and well-rounded success. They bring their creativity into a structure where they can not only learn skills but also be empowered in their work and learning. Our students have had major success in winning awards and with high hiring percentages including top studios. This paper outlines some of our methods for helping these mentored experiences thrive.
Study of Influence of Starch as Binder Material for Ecuadorian Cocoa Pod Husk Pellets
Velázquez-Araque, Luis; Cárdenas, José (Ecuador)
ABSTRACT:
In Ecuador, there is a constant need to pursue energy independence and global warming caused by increased emissions of greenhouse gases and the pursuit of energy independence have created a new industry focused on energy generation by harnessing renewable sources. Biomass is established as the third leading source for producing electricity as the main source for the generation of thermal energy. However, the problems related to the low density of the different types of biomass and the difficulty in carrying and storing have caused the need to generate solids with higher density and stronger hardness
known as pellets and briquettes. This paper develops an analysis of the use of starch as binder material for the Ecuadorian cocoa pod husk (CPH) pellets and its use as biofuel. Several pellet configurations were proposed based on the added amount of starch. An experimental setup was established to crush and screen the cocoa pod husk in order to obtain less than 1.5 mm particle size. Then the pellets were made using a small scale pellet machine and finally burned in a combustion chamber for evaluation of the energy potential by means of the high heat value and ash content. Finally, the selection of the most energy efficient pellet configuration is made taking into consideration international pellet quality standards. Among the tested configurations (10, 20 and 30 percent of starch and the rest CPH), pellets with a composition of 90% CPH and 10% starch, showed best results in terms of friability, high heat value and ash content, which turns out so that while starch addition increases, overall performance of the pellets decreases. However, after comparing these results to previous references, the overall performance is better for pellets made of 100% CPH. Therefore, adding starch as a binder material for cocoa pod husk fuel pellets decreases the overall performance in terms of physical and chemical
parameters from international standards.
Technical Change and Employment in an Emerging Economy
Merritt, Humberto (Mexico)
ABSTRACT:
Technical change has traditionally had a strong influence on the economy. In particular, the quick advance of information technologies has sparked drastic changes in almost every productive activity, with skilled jobs being dramatically affected by these changes. Although most white collar jobs were apparently immune to change up until very recently, now routine-based jobs are vanishing and the remaining clerical jobs being forced to adapt. In this paper, we examine the impact of information technologies on skilled jobs in Mexico. In so doing,
we ask to what extent is technological change affecting skilled jobs? Drawing on a recent research on the weekly evolution of published hiring offers for three types of jobs (stenographers, lathe operators and computer analysts) we were able to identify how traditional workers have been displaced by more sophisticated employees. Yet, traditional manufacturing jobs, such as lathe operators, seem to remain required by firms in spite of the stronger dominance of information technologies. We conclude that jobs are no longer defined by traditional skills but by multitask abilities, especially in the service sector.
Technology Intercepts for Cyber Security Applied to Critical Infrastructures
LaManna, Mario (Italy)
ABSTRACT:
The implementation of a cyber security system for critical infrastructures requires the extensive use and the targeted application of the most modern computer and communication technologies. In fact, cyber crime, as many other illegal
activities, has gained momentum from the latest expansion and power of the Internet and from the widespread use of the sophisticated tools used in the networks, especially social networks. Combating cyber crime needs the same synergy between human and machine technologies as done by cyberspace hackers to attack their objectives. This paper aims to making a review of these technologies and drawing the guidelines for an efficient design of a cyber security system, with reference to the defense of critical infrastructures.
The Comparison of Science and Technology Policy Assessments between Taiwan and the United States: A Perspective of New Public Management
Ho, Sophia Shi-Huei; Chen, Robin Jung-Cheng; Peng, Michael Yao-Ping; Weng, Shin Hsin-Wei (Taiwan)
ABSTRACT:
The purpose of this study is to compare the science and technology policy (STP) assessments between Taiwan and the United States, since Taiwan STP has been rooted for successful economic development and its assessment mechanism is mainly adopted from the United States. By adopting document analysis, we attempted to grasp the understanding of chronological development of STP in both countries and analyze how new public management (NPM) impacts the advancement of STP. Based on the findings, suggestions for Taiwan to ameliorate the technology assessments from the NPM perspective are provided.
The Use of STEAM in Higher Education for High School Teachers
Aldana Segura, Waleska (Guatemala)
ABSTRACT:
Recently the use of interdisciplinary strategies for higher education and high school teachers has proven to be an effective strategy to reduce absence and failure rates in students. The muldisciplinary nature of these curriculum has improved permanence and interest in high school students and teachers studying at local Colleges to improve their skills. The introduction of simple robotics and the interaction including arts proves to be effective in terms of success and retention. For two years the students have participated in workshops during classroom hours to improve the curriculum and give them extra support in basic sciences. The results prove that after two years those students improved their grades, reduced the vulnerability to other activities and acquired the skills and competences needed to success in the first year of Higher Education. The workshops are conducted by Undergraduate students of the Teaching of Physics and Mathematics programs, and prove that even the undergraduate students improved their skills when faced to the challenges of real life situations with real students to introduce the STEAM methodologies to public schools in Guatemala. This effort has been made possible due to the effort of the undergraduate students alone, without extra economical aid from the school officials, and even the high school students have contributed to get materials due to the increased interest on the subjects. With this in mind the
workshops include physics, mathematics, biology, chemistry and arts topics. As a result, of 10 undergraduate students, 3 are working the thesis on the subject and the 10 students are implementing the workshops on their institutions and schools where they work. This results in more than 1,000 students benefits from this methodology and the control group of 60 students keeps interest in the subject and stays in school improving their grades.
Top Management Diversity, Ambidexterity and Performance in Independent Small Firms. Evidence from the Italian Fashion Industry
Ciampi, Francesco (Italy)
ABSTRACT:
This paper analyses the relationships between top management functional background diversity, organizational ambidexterity and firm performance in small sized independent (i.e. not part of a group) fashion companies. Fashion companies by their very nature can be seen as paradigmatic examples of firms which need to be ambidextrous. This study contributes to the emerging dialogue on the relationships between top management characteristics, CEO’s role, ambidexterity and performance in two ways. Firstly, it sheds light on the moderating role played by the industrial environment on the relationships between top management demographic characteristics, organizational ambidexterity and firm performance. Secondly, it provides a SE-level discussion on the antecedents, consequences, and mediating role of organizational ambidexterity.
Transdisciplinar Meta-Design for Geomatics Applications
Parás Fernández, Margarita; López Caloca, Fernando (Mexico)
ABSTRACT:
Transdisciplinar collaboration is essential from a scientific
perspective to approach the most important socio-environmental
problems of our time. Still, the transdisciplinar problem is not
only about consensus building over common conceptual principles but on how our reference frameworks organize and are sustained by the disciplines’ specialized contributions to
new knowledge and innovations, built through their integration.
The paper emphasizes the lessons learned through our line of
research called Geomatics that Society which has enable us to
advance transdisciplinar methodologies establishing links
between research and social claimants (government, private
sector, NGOs, and civil society). As a result, complex interactions are represented, organized and geared towards the needs or problems expressed by actors involved in possible solutions. Among the themes undertaken by teams are territorial and land management, ecosystem services, environmental risks and vulnerabilities, competitiveness, health, education, public safety, migration, water, energy, etc. To deal with such complex problems, a meta-design was developed, with a territorial systemic, analytical and transdisciplinar approach, in which not only scientific knowledge (explicit and formal) is considered valuable, but also the profound experience of the society is recognized as a product of creativity and tacit knowledge, acquired and progressively adapted to changes in its environment. A key and novel feature was introduced in the above transdisciplinar meta-design framework “the territory”, playing a relevant role to the understanding of the way social and natural phenomena auto-organize in a changing world. The novelty of our proposal is the search for solutions, intersecting the diverse mental maps of the specialists and the ones of the social plaintiff, in which Geomatics has played a relevant role approaching a transdisciplinar social structural coupling meta-design.
Transdisciplinary Distance Learning: Developing Literacy for the 21st Century
Luciano, Dilma Tavares (Brazil)
ABSTRACT:
In Brazil, the challenges formulated within the National Education Plans (Plano Nacional de Educação) framework set the orientation for changes in Higher Education curricula which have increased the importance of technology in learning and instructions. Hence, computerbased learning environments and distance learning have to assume greater significance in formal education programs, involving educational methods in complex learning, specially due to Brazilian regional disparities and the legacies and silences left in their aftermath. In this scenario, relating research to practice represents to explore together
successful pathways to nurture cognitive and constructivist learning process that will show benefits for developing competence in any academic domain. Based on these aspects this paper discusses the relationship between educational resources used by public institutions participating in the “2014
Brazilian Census for Distance Learning" and the policy for digital literacy. Afterwords it proposes a platform and a paradigm for
research and education on literacy - GT4: thinking to change (Transdisciplinary Research Groups on Transverse Themes and
Social Transformation) to potentialize synergies among public universities and public schools. It aims to account of the colors
and deep contradictions on human-computer interaction for the learning environment on state schools in the Northeast of Brazil, for charting the potentials and perils in future attempts to create social change.
Unified Hybrid Image Retrieval System with Continuous Relevance Feedback
Kaliciak, Leszek; Myrhaug, Hans; Goker, Ayse (United Kingdom)
ABSTRACT:
In this paper, we present a unified hybrid image retrieval system consisting of the following components: various visual features and their combinations, combination of visual and textual feature spaces, combination of visual and textual feature spaces in the context of search refinement, and interactive user
interface with hybrid relevance feedback, exploratory search, query history, relevance bar, and positive and negative results panels.
In the paper we also introduce two novel hybrid spinoff models and describe the new continuous relevance feedback framework that allows us to move away from graded relevance and shows the relationships between feedback images.
Unmanned Aerial Vehicle-Based Automobile License Plate Recognition System for Institutional Parking Lots
Dasilva, Julian; Jiménez, Ricardo; Schiller, Roland; Zivanovic González, Sanja (United States)
ABSTRACT:
Unmanned aerial vehicles (UAVs), also known as drones have many applications and they are a current trend across many industries. They can be used for delivery, sports, surveillance, professional photography, cinematography, military combat, natural disaster assistance, security, and the list grows every day. Programming opens an avenue to automate many processes of daily life and with the drone as aerial programmable eyes, security and surveillance can become more ecient and cost e ective. At Barry University, parking is becoming an issue as the number of people visiting the school greatly outnumbers the convenient parking locations. This has caused a multitude of hazards in parking lots due to people illegally parking, as well as unregistered vehicles parking in reserved areas. In this paper, we explain how automated drone surveillance is utilized to detect unauthorized parking at Barry University. The automated process is incorporated into Java application and completed in three steps: collecting visual data, processing data automatically, and sending automated responses and queues to the operator of the system.
Using Dublin Core Metadata to Move from Need to Know to Need to Share
Lynch, Kevin; Ramsey, Randall (United States)
ABSTRACT:
A large aerospace manufacturer is using the fifteen-element Dublin Core metadata as the basis for its semantic web, a linked data infrastructure that enables efficient and scalable integration of a wide variety of information sources. With mounting cost pressures and global competition, expensive or time-consuming large-scale information harmonization approaches are not an option; value must be delivered quickly in the context of existing information systems. This paper describes the extension of the Dublin Core metadata to provide an internal semantic web for information discovery, navigation and integration. While some technical details are discussed, the focus is on the user experience with a linked data infrastructure, using metadata for tagging, linking, and classification. The value contributed by and derived by users of metadata is described. The simplicity of the approach facilitates a critical shift in information strategy, moving from “Need to Know” to “Need to Share” quickly and cost-effectively, and places specific responsibility on the user community for information sharing. This approach parallels the shift our primary customer has been making in the last decade to increase speed and effectiveness while lowering cost and still maintaining a secure information environment.
Visualization Proposal for Cluster Models with Multidimensional Data
Castillo-Rojas, Wilson; Vega-Damke, Juan (Chile)
ABSTRACT:
This paper presents the design and implementation of a proposal to visualize clusters model with multidimensional data, called IVCM (Interactive Visualization for Cluster Models), in datamining process context. The visualization of a cluster model becomes complex when the dataset is high volume, density and
dimensionality. The design of IVCM scheme is based on four characteristics: interactive visualization, combination of models, ad-hoc graphics artifacts, and use metrics. The objective of this scheme is to contribute to the analysis and understanding of a clustering model. Metrics considered in this proposed scheme, allow comparison instances of different clusters, which in turn
helps to understand how groups are composed. Through the implementation of a web visual prototype environment that meets the characteristics defined in IVCM, and an online assessment of 23 users, positive results on the usefulness of this new visualization scheme are achieved.
Copyright © 2017 by International Institute of Informatics and Systemics
Published by International Institute of Informatics and Cybernetics