International Institute of
3D Learning, Communication and Education Technologies for All
Pajorova, Eva; Hluchy, Ladislav (Slovakia)
ABSTRACT:
In our institute in the scope of lot international projects we have developed some 3D visualization tools for present simulation results for applications on the field of astronomical main research and research in natural disasters or disasters in public buildings, before fire, floods, blackout and bombs. The main off all is form of presentation such results for all community, not only for researchers. One of the communities that it wishes to engage in the research process as any other pupil are hearing impaired people. In simultaneous communication forms of this stage of development it is main problem. The benefit of this article is a draft communication methods for this community
with using virtual speaking head and perfect vizemas.
Currently we are working in creating the final communication and presentation tool for all. The paper describe the part of them, describe all modules, functionality and usefulness of the final communication tool for hearing impared pupil.
A Dynamic Electricity Tariff Survey for Smart Grid in South Korea
Kim, Eunjoo *; Kim, Yongki *; Ko, Wonsuk ** (* South Korea, ** Saudi Arabia)
ABSTRACT:
In this paper, an analysis for consumer perception of the level of electricity price, the amount of household electricity consumption and consumer perception on dynamic electricity pricing system in South Korea are investigated. A survey was conducted between July 24 and August 17, 2015 and then for the preference analysis, Binary Logistic Model is applied for the acceptance, Ordered Probit Model is applied. The major findings say that the less they have monthly income, the more satisfied dynamic pricing. In dynamic electricity tariff, real time pricing is most preferred dynamic pricing system and it reaches about 40% of respondents.
A Framework for Dealing with the Complexities of a Socio-Technical Environment: A Case of South African Broadband
Gorejena, Karikoga; Mavetera, Nehemiah; Velempini, Mthulisi (South Africa)
ABSTRACT:
This paper aims at unearthing the social and business repercussions that are associated with application of socio-technical systems theory to broadband at a workplace. A socio-technical environment has inherent unique attributes that any business unit assaying to employ it has to preempt and provide for. This research is focused at such attributes as may not contribute positively to business. These ramifications include potentially enormous social corollaries from IT, complexity of contexts such as matrices of business, services, people, technology history, location, demographics, languages etc, implicitness of knowledge and expertise, socio-technical support, complexity of relationships, open-endedness of implementation process, difference in time scales and indirectness of technological effects. Interviews will be conducted to establish the degree of effect of some of the above mentioned attributes on business and hence propose a solution in a form of framework as a business tool and policy guideline. While socio-technical approach can be adopted for any technological utilization by any organization from micro to macro levels, for the purpose of this paper, research is done in the context of broadband and the delimitation of the research data collection area is South Africa. Apart from coming up with a framework to address the unique socio-technical environmental attributes, this paper will also discuss the principles for implementing socio-technical systems theory as applied to the South African environment.
A Reflection Article: Disingenuous Agenda (Invited Paper)
Siebold, Jeanine (United States)
ABSTRACT:
Not available.
Academic Globalization and Interdisciplinary – How We Can Use Eye Tracking in Education? (Invited Paper)
Kvasnicova Galovicova, Terezia; Kremenova, Iveta (Slovakia)
ABSTRACT:
Eye tracking has become a key method to test the usability of
websites. This article describes how we can use eye tracking
technology in other academic discipline - in education. Eye
tracking can be used also in many other disciplines ranging
from psychology, neuroscience, transport to sports and
nonhuman research. This paper represents the newest device
model of eye tracker and possibility of using eye tracking
technology in education.
An Agent-Based Dynamic Model of Politics, Fertility and Economic Development
Yang, Zining (United States)
ABSTRACT:
In the political economy of development, government policy choices at a single point in time can dramatically affect a country’s development path by impacting fertility, economic and political decisions across generations. Combining system
dynamics and agent-based modeling approaches in a complex adaptive system, a simulation framework of the Politics of Fertility and Economic Development (POFED) is formalized to understand the relationship between politics, economic, and demography change at both macro and micro levels. First, a new political capacity measurement is used; and the system dynamics model is validated with the latest data. Second, the endogenous attributes are fused with non-cooperative game theory in an agent-based framework to simulate the interactive political economic dynamics of individual intra-societal transactions. Finally, macro and micro levels are connected with policy levers of political capacity and political instability by merging system dynamics and agent-based components. This paper also explores the agent-based model’s behavioral
dynamics via simulation methods to identify paths towards economic development and political stability. This model demonstrates micro level human agency can act, react and interact, thus driving macro level dynamics, while macro structures provide political, social and economic environments that constrain or incentivize micro level human behavior.
An Efficient Merged Longest Common Subsequence Algorithm for Similar Sequences
Tseng, Kuo-Tsung; Chan, De-Sheng; Yang, Chang-Biau (Taiwan)
ABSTRACT:
Given a pair of merging sequences A and B, and a target sequence T, the merged longest common subsequence (MLCS) problem is to find out a longest common subsequence (LCS) between sequences E(A,B) and T, where E(A,B) is obtained from merging two subsequences of A and B. In this paper, we propose an algorithm for solving the MLCS problem in O(L(r − L + 1)m) time, where r and L denote the lengths of T and MLCS, respectively, and m denotes
the minimum length of A and B. From the time complexity, it is clear that our algorithm is extremely efficient when T and E(A,B) are very similar. Experimental results show that our algorithm is faster than other previously published MLCS algorithms for sequences with high similarity.
An Evolutionary Metaheuristic for the 2D Guillotine Cut Problem
Peláez, José Ignacio *; Yánez, A. H. **; Santos, Eduardo A. **; Moncayo, L. M. ** (* Spain, ** Ecuador)
ABSTRACT:
The two dimension guillotine cut is actually one of the most interesting problems in modern industries like metallurgic, textile, wooden... in which it’s needed to cut sheets in pieces with an associated dimensions and benefits in the way to maximize the final benefit. The purpose of this work is to present an evolutionary metaheuristic for the two dimension cut problem using guillotine, also it’s shown how this approach can be applied to solve these types of problems, it’s compared with other exact algorithms and finally it’s defined an evolutionary representation which may be used with different metaheuristics.
An Intelligent Multi Lingual Concept Based Search Engine
Samantaray, S. D. (India)
ABSTRACT:
An approach for the development of a Multi lingual concept based search engine has been presented. This search engine returns those web pages also which do not contain directly the searched words but they have the synonyms or related words of the queried words. Further, it gives back the results in the user’s language even if the resultant web page is in different
language. As a multi lingual support it retrieves the pages of other languages which have semantic presence of the searched keyword. These pages are presented to user in the original query language after necessary translation/transliteration. Spell-check support is also provided for giving suggestions in respect of misspelled queries. JSP (Java Server Pages) has been used to integrate the Front-End (webpage) and Back-end (crawler and
indexer). LUCENE information retrieval library and WordNet library has been used for obtaining the synonyms list of the queried words. The search engine has been successfully tested on different domains.
An Intelligent Parking Assistant
Narasimha-Mohanasamy, Nishok; Jenq, John (United States)
ABSTRACT:
In big cities, parking is a very challenging problem to most people especially for visitors who are new to these cities. Most people today will not get lost in a big city due to the widely use of smart devices But to find a nearby parking spot which is close to the place you want to visit can be a hard task. Not just smart devices like smart phone become popular, we can expect the autonomous vehicles will become popular a norm in the very near future, an internet based parking system is now on demand. There are parking assistance available now on internet. Most of these systems ask user to enter information such as where you are heading to, when you plan to arrive, how to charge you and then make reservation for you, etc. The challenge is how we build an intelligent system which is compact, fast responsive, and smart enough to help user to find and route user (or auto-driven car) to a nearby parking place whether it is a garage, surface lot or on the street. In this report, we propose an intelligent parking assistance system as a component of the future smart cities. We use MEAN stack to implement a prototype parking system. MEAN is JavaScript based technology which stands for MongoDB, Express], AngularJS, and NodeJS. We develop such a parking assist application purely using web based technologies such as HTML, CSS, JavaScript and its open sourced frameworks such as node.js, bootstrap, jQuery, jQuery UI etc. Since that real time aerial image are not available so we use simulation to find parking information on open surface lots and street parking.
An Organizational-Technical Concept to Deal with Open Source Software License Terms
Dyck, Sergius; Haferkorn, Daniel; Sander, Jennifer (Germany)
ABSTRACT:
Open source software (OSS) released under various license terms is widely used as third party libraries in today’s software projects. To ensure open source compliance within an organization, a strategic approach to OSS management is needed. As basis for such an approach, we introduce an organizational-technical concept for dealing with the various OSS licenses by using procedural instructions and build automation software. The concept includes the careful consideration of OSS license conditions. The results obtained from this consideration and additionally necessary commitments are documented in a so-called “license playbook”. We introduce procedure instructions enabling a consistent approach for software development using OSS libraries. The procedure instructions are described in a way such that they can be implemented for example for Java projects using the popular build automation tool Apache Maven and the software repository tool Nexus. We give guidance on how to realize such an implementation on basis of automation tools in practice.
Analytic Hierarchy Process (AHP) in Ranking Streamflow Gauges for Runoff Estimation in an Urbanized Catchment
Ilunga, Masengo (South Africa)
ABSTRACT:
Analytic Hierarchy Process (AHP) is used for the suitability of streamflow gauging stations for runoff estimation. The generalized modular model (GMM) is used to forecast runoff at 5 different streamflow gauging stations (namely A, B, C, D and E) in the Kent Ridge urbanized catchment of Singapore. Estimated streamflow data at these specific gauges were obtained from the literature and constitute the basis for AHP. Statistical indicators such as Relative Root Mean Squared Error (RRMSE), Nash-Sutcliffe Efficiency (NSE) and Correlation Coefficient (CC) for GMM performance evaluation are used as criteria in AHP formulation. Streamflow gauges are used as alternatives in the runoff estimation process. Pairwise comparisons among the criteria were established consistently through AHP methodology, which incorporates both qualitative and quantitative aspects. It was shown that the overall ranking/suitability for streamflow gauges (A, B, C, D and E) as candidates for runoff estimation/forecasting were 6.7 %, 9.7 %, 17.6 %, 37 % and 29 % respectively. These results demonstrate that the increasing priority for runoff estimation/forecast is D, E, C, B and A. Hence, streamflow gauges in the proximity of the urbanized catchment outlet, i.e. D and E, receive more preferences for high runoff magnitudes.
Analytic Hierarchy Process (AHP) in Selecting Rainfall Forecasting Models
Ilunga, Masengo (South Africa)
ABSTRACT:
The ranking of rainfall forecasting models is done in this study, using the capability of Analytic Hierarchy Process (AHP). The forecasting models are backprogation neural networks (BPNN) and regression models (RM) and were used previously in a study to forecast hourly rainfall for correction bias at gauging stations situated in the Shihmen reservoir, upstream the Tahan River (Northern Taiwan). AHP is based on pairwise comparison methodology and covers both training and validation of the above-mentioned two types of models. Training and validation were the higher level criteria of AHP. The statistical performance indicators (criteria) to evaluate the models in the AHP structure were Root Mean Squared Error (RMSE), Normalized Root Mean Squared Error (NRMSE) and Mean Absolute Error (MAE). These were the low level criteria of AHP. The overall preferences for rainfall/precipitation estimation were 68 % and 32 % for BPNN and RM models respectively. BPNN could be the first priority for the purpose of rainfall forecasting problem in the Shihmen reservoir.
Artifact-Centric Modeling of Business Processes Using UML Diagrams
Grünert, David; Keller, Thomas; Brucker-Kley, Elke (Switzerland)
ABSTRACT:
The modeling of business processes to date has focused on an activity-based perspective while business artifacts associated with the process have been modeled on an abstract and informal level. Ad hoc, dynamic business processes have recently emerged as a requirement. Subsequently, BPMN was extended with ad hoc sub-processes and a new standard, Case Management Modeling
and Notation (CMMN), has been created by the Object Management Group (OMG). CMMN has an information-centric approach, whereas the extension of BPMN adheres to an activitybased perspective. The focus on BPMN and on processes in general has caused UML to fade into the background. UML combines an activity-based perspective (i.e., activity diagrams) with an information-centric perspective (i.e., state machines). This paper promotes an information-centric approach based on UML use case, state machine, and class diagrams that allows for an opportunistic execution of activities based solely on UML models.
Assessment of Individual Financial Literacy Level Depending on Respondent Profile
Ciemleja, Guna; Kozlovskis, Konstantins (Latvia)
ABSTRACT:
Financial literacy plays an important role in ensuring individual’s welfare; hence, it is essential to evaluate individual financial knowledge and skills. In 2015, academic personnel of the Department of Finance, Faculty of Engineering Economics and Management of Riga Technical University conducted research within the project “Enhancing Latvian Citizens’ Securitability through Development of the Financial Literacy” to analyze knowledge as one of the dimensions of financial literacy. A questionnaire was designed taking into consideration aspects of Latvian economic environment so that it could be used to assess the level of financial literacy of respondents from different age groups, of various educational background and employment status. In total 506 respondents took part in the survey. The goals of the current paper are to determine the average level of financial literacy of the Latvian population and to test several hypotheses put forward. Using a multiple regression model, respondent profile data were used as independent variables, and overall 10 models were developed.
CHAOS Chronicles, Focusing on Failures and Possible Improvements in IT Projects (Invited Paper)
Johnson, Jim *; Mulder, Hans ** (* United States, ** Belgium)
ABSTRACT:
The Standish Group started in 1985 in the business of IT market forecasts and predictions using Artificial Intelligence and cased-based reasoning technology. In 1994, we turned to predicting project outcomes, improving software development, and building a world-class database. Standish’s cumulative research
encompasses 22 years of data on why projects succeed or fail, representing more than 50,000 active completed IT projects. In this paper we clarify how we got here, where we are, and how
academia next to practitioners can be part of the next stage of the CHAOS journey. The vehicle that drives our journey is the CHAOS University System.
Combination of Bayesian and Latent Semantic Analysis with Domain Specific Knowledge
Lu, Shen; Segall, Richard S. (United States)
ABSTRACT:
With the development of information technology, electronic publications become popular. However, it is a challenge to retrieve information from electronic
publications because the large amount of words, the synonymy problem and the polysemi problem. In this paper, we introduced a new algorithm called Bayesian
Latent Semantic Analysis (BLSA). We chose to model text not based on terms but associations between words. Also, the significance of interesting features were improved by expand the number of similar terms with glossaries. Latent
Semantic Analysis (LSA) was chosen to discover significant features. Bayesian post probability was used to discover segmentation boundaries. Also, Dirchlet distribution was chosen to present the vector of topic distribution and calculate the maximum probability of the topics. Experimental results showed us that both Pk [28] and WindowsDiff [30] decreased 10% by using BLSA in comparison to the Lexical Cohesion with the original data.
Comparing the Composite Indicator Index Corporate Sustainability and the Predictive Model - An Application on Czech Manufacturing Companies
Kocmanova, Alena; Pavlakova Docekalova, Marie; Nemecek, Petr (Czech Republic)
ABSTRACT:
This paper focuses on a comparison of the composite indicator Index Corporate Sustainability ICS, the predictive model Corporate Sustainability Index CSIMDA for measuring and evaluating sustainability, and the economic predictive model Index of Financial Standing IB for concerns in the manufacturing industry. The aim was to determine the informative ability of these models, to analyse their differing results, and to identify which model is the most suitable. The results produced by these models by means of a comparison of 10 Czech concerns in the manufacturing industry in the period 2011–2013 are depicted in graphic form, and conclusions derived as to whether the given concerns are headed towards sustainability. Models of sustainability are based on environmental, social, corporate governance and economic indicators of performance (IESGEi) which are expressed in various units. The economic model is based on economic indicators. The results produced by comparison of the models indicates the most suitable model to be the composite indicator ICS which shows a high percentage of correctly classified companies on the basis of the Gini index. The subsequent classification of concerns according to the composite indicator is essentially different to the classification of concerns according to predictive models, first and foremost as a result of the construction of this model and the inclusion of environmental, social and corporate governance indicators in contrast to the predictive model CSIMDA and the predictive model IB. The results of research into the measurement and evaluation of corporate sustainability clearly indicate that, in addition to financial indicators, it is also essential to incorporate non-financial indicators into these models. Models for the measurement and evaluation of sustainability can provide investors and owners with information as to whether the given concern is headed towards sustainability or not.
Customization of Project Management Techniques for the Construction of IT - Information Technology Systems with the Development Methodologies Known as Agile Processes
Moraes, Altino José Mentzingen de (Brazil)
ABSTRACT:
The theory presented by PMBoK© - Project Management Book of Knowledge [1], edited and maintained by PMI - Project Management Institute, which deals with the issues of how to administrate a Project efficiently and planned, is already widely known and recognized by the world professional community as a strong orientation of best practices and effective working tool in this field.
The PMBoK© - Project Management Book of Knowledge directs the Phases and the Disciplines that must be addressed in leading a Project, whether it be, both to meet the construction of projects in Engineering Area or to meet the System Development Projects in the Area of IT - Information Technology.
In the latter Area, namely the area of IT - Information Technology,
the theory presented by PMBoK© - Project Management Book of Knowledge is already intensively applied for some decades. However, the System Development Methodologies in IT - Information Technology area are being reviewed by the emergence of new technical resources and new visions of interpretation of the business by the Organizations.
In that way, this study intends to evaluate the current impact of these revisions (in System Development Methodologies in IT - Information Technology area) may result in new versions of the PMBoK© - Project Management Book of Knowledge, which, also implemented revisions and at this moment is in its 5th.Edition.
In conclusion, after some simulations in a practical environment, it is verified the usefulness of this paper (and its “Table of Definition of Specific Features of Project”, which try to support the decision about what is the best System Development Methodology in IT - Information Technology area to be applied to a specific Project) as an effective management and planning tool in corporate real world.
Design of Modular Quantum-Dot Cellular Automata 4-16 Line Decoder
Jeon, Jun-Cheol (South Korea)
ABSTRACT:
This paper presents how to design a quantum-dot cellular automata(QCA) 4-16 line decoder with enable input. A 3-8 line decoder can be composed of three inverters and eight AND gates. In order to design a 4-16 line decoder, one inverter and two 3-8 line decoder. An inverter can be easily construct with transmitting the cells and a 3-input AND gate can be designed by 5-input majority voting gate.
Development of a Bus Location System on a Multi-Hop Network with IEEE 802.15.4 Based Wireless System-on-a-Chip
Naito, Katsuhiro; Tani, Shunsuke; Takai, Daichi (Japan)
ABSTRACT:
This paper develops a bus location system employing a multi-hop network. The developed system consists of vehiclemounted devices, relay devices on a bus stop, and a sink device at an office building. The vehicle-mounted devices have a GPS module to obtain their location and a 2.4G [Hz] wireless communication module based on the IEEE 802.15.4. The relay devices have a same wireless communication module that can operate autonomously with a solar panel and a Li-Po battery. The sink device has also a same wireless communication module
and a serial connection to a server. This paper proposes a special frame structure to realize a sleep operation of relay devices and to mitigate interference effect among them. The proposed frame structure considers a time synchronization, route management, data communication for a vehicle-mounted device, data communication between relay devices and a sink device. All relay devices can realize an interval operation including an operation mode and a sleep mode to reduce the energy consumption because the proposed system can share a same time by a time synchronization mechanism. Since a special period is assigned for data communication on buses, the proposed system can reduce overhead of updating route information according to movements of buses. Additionally, the proposed routing mechanism considers practical micro-computer boards that have a small size of memory and small computational
resource. Therefore, it employs a simple tree-based routing to reduce a required system resource. In the implementation, we have developed our proposed mechanism on wireless module based on System-on-a-chip (SoC:TWE-Lite DIP). The SoC has only 32 [KB] RAM and 160 [KB] flush memories, and a 2.4G [Hz] band communication module based on the IEEE 802.15.4 standard. It can operate with a small energy less than 25.4 [mA] and can reduce energy consumption less than 6 [µA] during a sleep mode. Therefore, developed devices can realize a multi-hop network with a solar panel and a Li-Po battery. The experimental results show that the real SoC hardware can implement the
proposed mechanism and work well.
Development of a New Support System for English Composition and its Performance Evaluation for International Communication
Matsuyama, Hiroki; Miyazaki, Mitsuyuki; Okada, Isamu; Ehara, Terumasa; Miyazaki, Dawn Lavelle; Miyazawa, Shinichiro (Japan)
ABSTRACT:
English proficiency has become essential for Japanese people in today’s globalized society. However, since the structure of the Japanese language is very different from that of English, it has proven difficult for Japanese people to create natural and fluent English sentences without special training. We developed a support system for English composition using a new method which addresses this issue. The main characteristic of the system is the use of the dictionary of similar sentence patterns. This dictionary was developed by defining a new distance measure between sentences that emphasize expression at the end of a sentence in a Japanese text thanks to the head finality of Japanese. Our experiment revealed that in terms of fluency of translation, higher scores were obtained with this system, in comparison with the case where subjects only used a word dictionary. Also, in terms of both adequacy and fluency, the average values with this system exceeded those with traditional support systems for English composition considered in this study.
EASIER: An Approach to Automatically Generate Active Ontologies for Intelligent Assistants
Blersch, Martin; Landhäußer, Mathias (Germany)
ABSTRACT:
Intelligent assistants are ubiquitous and will grow in importance. Apple’s well-known assistant Siri uses Active Ontologies to process user input and to model the provided functionalities. Supporting new features requires extending the ontologies or even building new ones. The question is no longer “How to build an intelligent assistant?” but “How to do it efficiently?”
We propose EASIER, an approach to automate building and extending Active Ontologies. EASIER identifies new services automatically and classifies unseen service providers with a clustering-based approach. It proposes ontology elements for new service categories and service providers respectively to ease ontology building.
We evaluate EASIER with 292 form-based web services and two different clustering algorithms from Weka, DBScan and spectral clustering. DBScan achieves a F1 score of 51% in a ten-fold cross validation but is outperformed by spectral clustering, which achieves a F1 score of even 70%.
Effective Verbal Persuasion in Prayer, Business, and Teaching (Invited Paper)
Hendel, Russell Jay (United States)
ABSTRACT:
What verbal techniques – persuasion, explanation and
evaluation - yield superior results? Answers to this question
are taken from the education, business and prayer literature. We show that the best verbal approaches i) focus on the future, ii) attribute causes that are internal and controllable like effort, iii) advocate sub-goals that are specific and achievable short term and iv) use imagery focusing on emotions of mastery and enjoyment.
Three theories – attribution theory, goal setting theory and imagery studies – are used to justify the results.
Evaluating IT Financial and Service Level Management Practices in Honduras
Flores-Delgadillo, J. (Nicaragua)
ABSTRACT:
Abstract—The paper is addressed by a research question how
to evaluate IT financial and service level management based on
ITIL v2? In order to answer this question, we adopted an
analysis method of IT service delivery (AMSD) and an IT service
delivery maturity (ISMM). AMSD provides questionnaires for
collecting information through deeper interviews with key
informant. The collect information is evaluated by prescribed
maturity level of ISMM. The evaluation shows weaknesses and
strengthens of financial and service level managements practices
of four organizations that come from public and private sectors in
Honduras
Evaluation of Financial Instruments for Social Innovation Development
Svirina, Anna *; Syurkova, Sofia *; Laizanis, Talis **; Appalonova, Natalia *; Murtazina, Gulnara * (* Russian Federation, ** Latvia)
ABSTRACT:
The paper analyzes the relationship between financial instruments used by social enterprise, and its performance and social innovation activity. To evaluate this relationship we study 34 social enterprises, and measure their profitability, innovation activity, management quality, mission fulfillment, financial sustainability, client loyalty, share of debt in liabilities, share of crowdfunding
and government support, social innovation activity and importance of innovation process, both evaluated according to expert opinion. We evaluated the suggestion that structure of capital, as well as level of social innovation activity and its importance to social enterprise’s management are related to company
performance, and moderation of financial instruments might lead to higher social business efficiency. Quantitative evaluation was performed by means of correlation, regression and cluster analysis performed by means of SPSS Statistics.
Financial Literacy of Latvian Citizens: Findings and Conclusions
Ciemleja, Guna (Latvia)
ABSTRACT:
The results obtained in the process of assessment of the level of individual’s financial literacy provide information on the factors, which reduce financial efficiency and cause unnecessary costs. Despite a vast body of international experience in the field of financial literacy assessment, one of the main problems is to develop a measuring instrument, which can ensure valid results and can be adapted to the socio-economic and demographic conditions of a definite country. Therefore, in 2015, academic personnel of the Department of Finance, Faculty of Engineering Economics and Management of Riga Technical University conducted research within the project «Enhancing Latvian Citizens’ Securitability through Development of the Financial Literacy» and developed an instrument for assessment of the level of financial literacy, which can be used to evaluate financial knowledge of the Latvian citizens taking into consideration all components of financial literacy. The results are briefly described in the current paper.
Future Trends in Cyber Security for Critical Infrastructures
LaManna, Mario (Italy)
ABSTRACT:
The critical infrastructures of a modern country are related to all aspects of public life, such as public administration, hospitals, transportation, electricity, water and gas distribution, banks, etc. These infrastructures depend mainly on automated services and are connected to private and public networks and, in most cases, accessible from outside, with the result that, due to their mutual links, they are strongly dependent on each other. The above characteristics, from one side, contribute to improve their performance in terms of service and availability, but, at the same time, increase their exposure to cyber criminals and multiply the risk of damage, due to the increased probability of domino effect. As a consequence of this enhanced exposure to cyber crime, it is necessary to device new types of cyber security techniques, based on a multifaceted/ multidisciplinary approach. This new approach takes advantage from new technologies but, at the same time, considers the environmental and social aspects of cyber crime, with the final goal to open a new way to conceive cyber security.
How to Learn Multidisciplinary Design: Biomedical Engineering in Cross Cultural Seminar (Invited Paper)
Hashimoto, Shigehiro (Japan)
ABSTRACT:
The way to learn multidisciplinary design has been discussed. “Biomedical engineering” is exemplified for multidisciplinary
field. “Biomedical Engineering” makes the multidisciplinary
research area, which includes biology, medicine, engineering,
and others. The cross-cultural student seminars on biomedical
engineering have been exemplified as the case studies.
In the group work, students are divided into the small cross cultural groups.
Each group finds a problem, methods to solve the problem,
and contribution to the society. Presentations are made referring information on the internet.
They have learned how to communicate with students, who have
variety of cultural backgrounds. The training awakes students
to several points: thinking from a different point of view,
and variation of communication tools. The process is effective to learn multidisciplinary design.
Humanities and Mathematical Approaches in the Case of Arabic (Invited Paper)
Bernikova, Olga; Redkin, Oleg (Russian Federation)
ABSTRACT:
Present day humanitarian sciences are no longer pure humanitarian.
They always coincide with the implementation of digital technologies to a greater or lesser extent. On the other
hand, different kinds of humanitarian fields of study create new topics as well as give new challenges for mathematicians.
Therefore, interdisciplinarity is considered to be inseparable
part of scientific world today.
This study aims to demonstrate how Arabic studies have changed after beginning of computer era, and the consequences it has brought. The authors also consider the implementation of computer technologies along with traditional approaches in humanitarian sciences, influence on the educational process and their spread in higher institutions worldwide.
On the examples of some innovative projects we demonstrate
outcomes of interdisciplinary communication in the case of
Arabic and regard perspectives of the development of this trend.
Hybrid Optical Devices: The Case of the Unification of the Electrochromic Device and the Organic Solar Cell
Guedes, Andre F. S.; Guedes, Vilmar P.; Tartari, Simone; Souza, Mônica L.; Cunha, Idaulo J. (Brazil)
ABSTRACT:
The development of Hybrid Optical Devices, using some flexible optically transparent substrate material and organic semiconductor materials, has been widely utilized by the organic electronic industry, when manufacturing new technological products. The Hybrid Optical Device is constituted by the union of the electrochromic device and the organic solar cell. The flexible organic photovoltaic solar cells, in this hybrid optical device, have been the Poly base (3-hexyl thiophene), P3HT, Phenyl-C61-butyric acid methyl ester, PCBM and Polyaniline, PANI, all being deposited in Indium Tin Oxide, ITO. In addition, the thin film, obtained by the deposition of PANI, and prepared in perchloric acid solution, has been identified through PANI-X1. In the flexible electrochromic device, the Poly base (3,4-ethylenedioxythiophene), PEDOT, has been prepared in Propylene Carbonate, PC, being deposited in Indium Tin Oxide, ITO. Also, both devices have been united by an electrolyte solution prepared with Vanadium Pentoxide, V2O5, Lithium Perchlorate, LiClO4, and Polymethylmethacrylate, PMMA. This device has been characterized through Electrical Measurements, such as UV-Vis Spectroscopy and Scanning Electron Microscopy (SEM). Thus, the result obtained through electrical measurements has demonstrated that the flexible organic photovoltaic solar cell presented the characteristic curve of standard solar cell after spin-coating and electrodeposition. Accordingly, the results obtained with optical and electrical characterization have revealed that the electrochromic device demonstrated some change in optical absorption, when subjected to some voltage difference. Moreover, the inclusion of the V2O5/PANI-X1 layer reduced the effects of degradation that this hybrid organic device caused, that is, solar irradiation. Studies on Scanning Electron Microscopy (SEM) have found out that the surface of V2O5/PANI-X1 layers can be strongly conditioned by the surface morphology of the dielectric.
Impact of Optimization and Parallelism on Factorization Speed of SIQS
Breitenbacher, Dominik; Homoliak, Ivan; Jaros, Jiri; Hanacek, Petr (Czech Republic)
ABSTRACT:
This paper examines optimization possibilities of Self-Initialization Quadratic Sieve (SIQS), which is enhanced version of Quadratic Sieve factorization method. SIQS is considered the second fastest factorization method at all and the fastest one for numbers shorter than 100 decimal digits, respectively.
Although, SIQS is the fastest method up to 100 decimal digits, it cannot be effectively utilized to work in polynomial time. Therefore, it is desirable to look for options how to speed up the method as much as possible. Two feasible ways of achieving it are code optimization and parallelism. Both of them are utilized in this paper. The goal of this paper is to show how it is possible
to take advantage of parallelism in SIQS as well as reach a large speed-up thanks to detailed source code analysis with optimization. Our implementation process consists of two phases. In the first phase, the complete serial algorithm is implemented in the simplest way which does not consider any requirements
for execution speed. The solution from the first phase serves as the reference implementation for further experiments. An improvement of factorization speed is performed in the second phase of the SIQS implementation, where we use the method of iterative modifications in order to examine contribution of each proposed step. The final optimized version of the SIQS implementation has achieved over 200x speed-up.
Implementing a Hybrid Graduate Program: Lessons Learned One Year Later
Sturgill, Ronda; Wilson, Jacob; Andersen, J. C. (United States)
ABSTRACT:
Development of any graduate program is an extensive and timely process. Once the development phase is complete the program continues into the implementation phase. The implementation phase of a hybrid delivered program can present with many challenges. The purpose of this paper is to describe the implementation and challenges of delivering a hybrid graduate program. This is a follow-up paper to “Developing a Hybrid Graduate Program,” [4]. This follow-up will provide information from both a faculty and graduate student perspective. Challenges of implementation, lessons learned, and future program delivery recommendations will also be presented.
Information Processing at the Period of Tomas Bata and Information System
Burita, Ladislav; Chvatal, Jakub (Czech Republic)
ABSTRACT:
The article describes historical analysis of work with information in Tomas Bata (TB) Company with comparison to information processing in information system (IS). The shoemaker, entrepreneur, and social innovator were one of the Czech Republic’s most famous brands Bata Shoes. His management rules were collected in so called Batism. The chosen processes by TB are described and founded the adequate information processes in IS. The prototype of IS for comparison was suggested QI by DC Concept Company. QI is organized in modules, so that is simple to find useful solution of IS for Bata Company. In selected areas are given functions of the IS. The result is a comparison of the two approaches to work with information, and synthetic part of the paper is the reference of TB to information management.
Innovation of Medical Education with 3D Technologies and Gamification
González Mariño, Julio César; Cantú Gallegos, Ma. de Lourdes; Maldonado Mancillas, Jesús Adrian (Mexico)
ABSTRACT:
The exponential growth of the videogame industry has awoken
the interest of experts in communication, psychology, education, health, business and other areas, trying to discover the key elements that make a videogame a successful medium to attract and keep users engaged and motivated.
Gamification refers to the process of integrating elements of
design, mechanics and dynamics, typical of videogames in nongame contexts. In order to enhance motivation, concentration, effort and other common positive values in all games.
In Medical education, there is a wide variety of complex elements addressed from the very first academic term, which become even harder to understand for the student when the teacher prefers to use a traditional approach. Failing the first partial examination periods, the student looses the motivation to continue the course, and when he doesn’t find an alternative to learn the contents of the course, he then quits or continues without success.
In this paper we present a project to solve this problem by
increasing the student intrinsic motivation, through the
implementation of a gamification of learning process, using 3D
models of the cardiovascular anatomy.
Iterative De-Noising Scheme for Seismic Signals Using Wavelet Decomposition
Alshehri, Abdullah A.; Gaden, Nisamudheen K. (Saudi Arabia)
ABSTRACT:
A new iterative technique for de-noising seismic signals with soft/hard thresholding of the wavelet detailed coefficients is presented. In seismic signal analysis, reducing interference noise is of great importance. Wavelet transformation has become a cutting-edge and promising approach in the field of signal processing. The signal will be broken up into shifted and scaled versions of the original signal. Wavelet is capable of revealing smaller changes, trends, and breakdown points that are not revealed by other techniques such as Fourier analysis. To enhance the characteristics of observed noisy seismic signals, signal normalization is taken to obtain zero-mean, unit variance, and unit energy analytical signal. The analytical signal is decomposed to its approximations and details to a certain level, to separate the noise from the desired signal. Detailed coefficients contain high-frequency components including channel and other interference noise. Thresholding detailed coefficients allow for the removal or reduction of a significant part of the noise. For our iterative approach, an initial threshold value is used and is equal to one-half of the standard deviation of each detail coefficients. The modified or threshold detail coefficients along with the approximation ones are used to reconstruct the clean signal using inverse wavelet transform IDWT. The signal-to-noise ratio (SNR) is computed and compared to a predefined standard SNR value for the algorithm to converge.
Language Teaching and Cross-Cultural Communication (Invited Paper)
Redkin, Oleg; Bernikova, Olga (Russian Federation)
ABSTRACT:
In the modern world language skills and abilities are among factors which determine competitiveness in personal and social life,
competitiveness in business and labor market. These factors explain
the growing interest to the problem of language education
both among specialists and common public alike.
As a result, the number of language programs at
universities and high schools around the world constantly increases.
In the current article authors venture to reexamine the process of language acquisition basing on their long -
term experience of teaching Arabic at St Petersburg State University, Russia. The authors believe that effectiveness of
teaching foreign language along with other factors also depends on an adequate understanding of the culture and mentality of native speakers, and hence our awareness about the correct connotations of words, and about idiomatic expressions
as well.
The authors endeavor to consider the problem from ethnolinguistic point of view and try to answer major questions related to this issue.
Making the Trains Run on Time: The Development of a Self-Regulating, Real-Time Model Railroad System
Henderson, Alex; Maynard, Jacob; Doran, Michael V. (United States)
ABSTRACT:
The purpose of this project was to develop a real time system using a model train that regulated its speed to adhere to a desired schedule. The train would utilize a distributed sensor system, which monitors its position on the tracks, and a knowledge of time to calculate its speed. As the system has direct control over the voltage in its tracks, it can dynamically adjust the speed. The accuracy of the system was measured by recording the error of the train, defined as the difference between arrival time and the target arrival time. During the tests, which were run from several starting points over varied distances, the system regulated its speed to minimize error. The developed algorithm resulted in consistently low error values, below .30 seconds.
Managing Analytics through Metaphor
Woodside, Joseph M.; Amiri, Shahram (United States)
ABSTRACT:
Metaphors are a means to gain further insights into human activity and the world, and through quantitative or qualitative metaphors a mechanism is created to allow individuals to understand abstract concepts. As no two things are exact, each psychological process utilizes an illusion to create sameness
and every thought is at least in part a metaphor. When a manager selects a metaphor they are also selecting a similar knowledge set, and metaphors allows conceptual mappings between domains as managers address similar business problems. The analytics domain contains a number of computational metaphors that managers must select and process accurately, however most managers are not formally trained in these metaphors or accessing metaphorical management processes steps. Furthermore there is an ongoing question of decision trust for using analytical methods vs. managerial instinct. This paper reviews a set of current analytics metaphors, and recommends a managerial process for managing analytics through metaphor.
Monetary Stimulus for University Professor Motivation Dynamics: A Longitudal Experimental Study
Svirina, Anna; Syurkova, Sofia; Appalonova, Natalia; Murtazina, Gulnara (Russian Federation)
ABSTRACT:
The paper analyzes the relationship between monetary stimulus and motivation and performance dynamics in case of university professors. To evaluate this relationship we researched 3 year long period of natural experiment, in which 30 university teachers and researchers had to report their results in accordance with measuring instrument developed at the university The study is performed with SPSS Statistics software, and confirms some findings in human resources management theory. We prove that employees with high quality organizational motivation are more efficient in development of academic reputation creation activities, including journal and textbook publication, h-index, and even winning teaching excellence competitions, while they are much less efficient in earning bonus points for the tasks they consider unnecessary, while some employees tend to manipulate the studies measuring systems.
Multi Agents Approach for Job Shop Scheduling Problem Using Genetic Algorithm and Variable Neighborhood Search Method
Phanden, Rakesh Kumar (India)
ABSTRACT:
The job shop scheduling is an important and complex problem for a manufacturing system. It is well known and popular problem having (Non-Polynomial) NP-hard characteristic to find the optimal or near optimal solution (schedules) quickly. In job shop scheduling a set of “N” number of jobs are processed through an “M” number of given set of machines. It must be processed in the prescribed order by utilizing the feasible sequence of operations for a job. Therefore, due to its complex nature the finding of approximate solutions are chosen rather than the finding exact solution which involve higher cost. Various meta-heuristics techniques are utilized in order to find the sub-optimal solution for job shop scheduling problem. Genetic Algorithm (GA) and Variable Neighborhood Search (VNS) method are the preferred techniques which are best-known for global and local search of solutions respectively. VNS is work as in augment for GA approach. In the present work, Multi-agents are proposed to find the near optimal solution for job shop scheduling problem using GA and VNS approach in parallel. Multi-agent system is preferred owing to its ability to perform in parallel and robustness as well as the elucidation of intelligence. In the proposed system, many hosts of the network are accommodated with agents. JADE is used to setup communications. Each agents is designed to perform the specific task namely Initialization Agent (IA), Processing Agent (PA) and Coordinating Agent (CA) for initial generation of population, to schedule the operations on machines, to find the distinctive host and to perform the migrations between various populations respectively. The objective is to find an optimal value of makespan for the job shop scheduling problem. The performance of the system is assessed by a case study and it reveals that the proposed approach is effective enough to find the optimal solution. Future works is to introduce Disturbance Agents (DA) for internal and external disruptions.
No Discipline is an Island (Invited Paper)
Siebold, Jeanine (United States)
ABSTRACT:
Not available.
On the Influence of Traffic Autocorrelation on the Queueing Performance
Chydzinski, Andrzej (Poland)
ABSTRACT:
In this paper we present counterintuitive examples on the influence of strong, positive autocorrelation of network traffic on some of the queueing characteristics in network nodes. In particular, it is shown that the average queue size can sometimes be significantly shorter in the case of autocorrelated traffic than in the case of the uncorrelated one, even if the service time and load are the same in both cases.
Opinion Paper: On the Influence of Industry Cooperation in German Universities (Invited Paper)
Dürre, Jan (Germany)
ABSTRACT:
Universities and businesses exist in an environment of
sometimes similar or compatible needs in Germany.
Therefore university-industry cooperation is a common
phenomenon. In the past years the tasks and boundary conditions of universities have slightly changed, leading to
an even increasing amount of business cooperation.
It is evident that partners in joint projects will influence each
other. In this opinion paper an attempt to give an analysis of the current situation in Germany is made. This shows that there are some positive and some negative influence factors on research and education.
Nonetheless a certain amount of joint research projects between industry and university are important to keep a balance between theory and practice.
PACEMAKER: An Insight into the Artificial Heart Rhythm
Moin, Lubna; Uddin, Vali; Chowdhry, Bhawany Shankar; Memon, Attaullah Y. (Pakistan)
ABSTRACT:
A pacemaker is a small battery powered device, which paces the heart by sending an electrical impulse, to cause rhythmical contraction of the heart muscle. Since the first artificial pacemaker was introduced in 1932, much has changed and will continue to change in future. The complexity and reliability of modern pacemakers has increased significantly, mainly due to development in the integrated circuit design. This paper basically will discuss the electronic perspective of the pacemakers, the advancements done in this regard and the ongoing research to make it more competent, capable and useful.
Personal Issues of Social Networks: Towards Safe Surfing
Mozheikina, Liudmila; Emelyanov, Pavel (Russian Federation)
ABSTRACT:
In this paper, the authors make an attempt to analyze, with help of some statistical data, basic personality traits influenced by active interaction with social networks. The hypotheses that active users of social networks have a high level of neuroticism and a low level on the scale of “conscientiousness” have been confirmed. In addition to the traditional psychological approaches to diminishing the influence of aggressive factors, the authors propose to extend in some way the functionality of Internet browsers.
Practical Implications of Using Challenge-Based Acquisition to Acquire Capabilities for Large Software Systems
Cherinka, R.; Prezzama, J.; Aitkenhead, K. (United States)
ABSTRACT:
Federal agencies are seeking new ways to innovate, procure and enhance enterprise capabilities. Competitions are one tool that these agencies can use to drive innovation and solve mission-centric problems—whether technical,
scientific, or creative. In this paper we present our experience in using challenge-base acquisition on a large Department of Defense software system. We describe the process, scenarios, technologies and criteria for success
used during the acquisition. We then discuss results and highlight some lessons learned throughout the process.
Quantification of Stress: A Case Study Using Modified Detrended Fluctuation Analysis (mDFA) of the Heartbeat
Yazawa, Toru (Japan)
ABSTRACT:
The aim of this study is to develop a method suitable for the detection of acute stress. The electrocardiograms (EKGs) were recorded from both animal models and humans. For the analysis of EKG, we used “modified detrended fluctuation analysis (mDFA) ” technique, which we have recently developed. The mDFA calculates the scaling exponent (SI, for scaling index) from the time series data, i.e., the R-R interval time series obtained from EKG. We detected the 2000 consecutive peaks using our own method. The mDFA can distinguish between normal and abnormal heart: A normal healthy heartbeat exhibited an SI of around 1.0, which is comparable to 1/f fluctuations. Stress heartbeats and extra-systolic heartbeats both exhibited a low SI ~0.7, for example. We propose that the health conditions of various systems such as the circulatory system can be quantitatively analyzed using mDFA.
Ray Cycle Mining and Sentiment Analysis: A Fuzzy Approach
Gopinath, Siddharth; Buckley, James P. (United States)
ABSTRACT:
The goal of sentiment analysis is to determine the attitude of a speaker or a writer with respect to some topic or the overall contextual polarity of a document. Traditional data mining algorithms identify associations in data that are not explicit. Cycle mining algorithms identify meta-patterns of these associations depicting inferences forming chains of positive and negative rule dependencies. Cycles are of use in identifying particularly interesting patterns of opinion. A particular type of cycle called a RAY cycle is used and a fuzzy approach to finding and using fuzzy RAY cycles is defined and discussed.
Recent Dynamics in Arabic Machine Translation: Linguistic Approach
Bernikova, Olga; Redkin, Oleg (Russian Federation)
ABSTRACT:
This study aims at comparative studying of effectiveness of three machine translation systems (Google, Babylon, Systranet) and dynamics in their development. In order to define the progress achieved by main open source solutions for Arabic-to-English and Arabic-to-Russian Machine Translation we analyzed the translated texts in 2006, 2011 and 2016. The research was conducted in accordance with certain linguistic criteria. A small essay on the history of machine translation technologies precedes description of the experimental results. The results of the study have showed that Google provides the most accurate translation and the best results at all linguistic levels in comparison with other machine translation systems. In the last ten years, there has been considerable improvement in Arabic-to English as well as Arabic-to Russian MT in terms of interpretation of the peculiarities of Arabic graphics and morphology. Nevertheless, the problem of cross-language correspondence still needs improvement. To improve MT technologies it is necessary to focus on an interdisciplinary approach in the development of appropriate solutions.
Re-Using Open Source Software in Your Software Delivery
Spiewak, Rick; McRitchie, Karen (United States)
ABSTRACT:
Open source software is generally available with few restrictions (depending on license) to be reused by other developers. Reuse of software presents both potential cost and schedule savings and corresponding risks to both cost and schedule. The key defining characteristic which distinguishes between risk and reward in this scenario is the quality of the software to be re-used. Well-established metrics and best practices in software development can be applied and assessed when examining open-source software for potential re-use.
Schengen e-Border Wall Supported by the Latest Smart High-Tech ICT, but, ...
Soltes, Dusan (Slovakia)
ABSTRACT:
The paper is dealing with one of the currently most controversial issues in the EU regarding the protection of the external borders of the EU in the form of the so-called Schengen external border of the Union. On the one hand it is very difficult for the EU new member states to become a part of the Schengen border protection system as it requires a lot of effort and investments into the latest
ICT technology and all various other technical but also organizational and personnel requirements but on the other hand right now we have been witnessing a real disastrous situation on the southern flank of the Schengen
border where illegal immigrants especially from Africa are daily illegally entering the territory of the EU. However, by a certain paradox in many cases these illegal immigrants are entering the EU territory through the humanitarian aid to be extended to them by the EU costal border guards that on the basis of the principles of the International humanitarian law have to extend their help to these illegal immigrants in case of some necessary rescue operations from their drowning boats on the Mediterranean sea and bring them to the territory of the
EU. The paper in more details will be dealing with this evident paradox between the latest ICT technology and humanitarian aspects of International humanitarian law.
Searching the Web for Earth Science Data: Semiotics to Cybernetics and Back
Barkstrom, Bruce R. (United States)
ABSTRACT:
This paper discusses a search paradigm for numerical data in Earth science that relies on the intrinsic structure of an archive's collection. Such non textual data lies outside the normal textual basis for the Semantic Web. The paradigm tries to bypass some of the difficulties associated with keyword searches, such as
semantic heterogeneity. The suggested collection structure uses a hierarchical taxonomy based on multidimensional axes of continuous variables. This structure fits the underlying 'geometry' of Earth science better than sets of keywords in an ontology. The alternative paradigm views the search as a twoagent cooperative game that uses a dialog with the data user. In this view, the search engine knows about the objects in the archive. It cannot read the user's mind to identify what the user needs. We assume the user has a clear idea of the search target. However he or she may not have a clear idea of the archive's contents. The paper suggests how the user interface may provide information to deal with the user's difficulties in understanding items in the dialog.
"Smart" as a Key Component of the Sustainable City Development (Invited Paper)
Zelinka, Tomas; Pribyl, Ondrej; Lom, Michal (Czech Republic)
ABSTRACT:
Smart City Initiatives are aiming on creation of a sustainable
model for cities with the aim to improve quality of life of their
citizens.
A smart city represents an interdisciplinary field requiring high
level of cooperation among experts from different fields and a
contribution of the latest technologies in order to achieve the best results in the city’s key areas. Such approach
requires an effective cooperation across many fields, from
technical or economic through legislation to social
areas.
Success of the smart city concept is not thinkable without
an effective engagement of the end users, i.e. citizens of the smart cities.
The traditional systems engineering methodologies fail and new approaches are urgently needed.
A new Hybrid - Agile Methodology (HAM) is introduced
and its advantages with respect to smart city projects are discussed.
However, application of methodologies cannot be successful without principal changes in how are all engaged parties
thinking.
Successful University - Industry Collaboration as a Factor for Implementation of Smart Specialization Strategy: Evidence from Latvia and Lithuania
Lace, Natalja; Rumbinaite, Gintare (Latvia)
ABSTRACT:
Enhancement of the innovation system, removal of all barriers to collaboration among all process participants – industry, education, and research, as well as legal and financial systems, are important preconditions ensuring transition to the innovation economy and implementation of the Smart Specialization
Strategy. It is particularly topical for such new member states of the European Union as Latvia and Lithuania, which need to considerably improve the innovation characteristics of their economies. The aim of the paper is identification of the reasons impeding collaboration between university and industry.
Teaching Digital Logic Circuit Design via Experiment-Based Learning - Print Your Own Logic Circuit
Dürre, Jan; Payá Vayá, Guillermo; Blume, Holger (Germany)
ABSTRACT:
Digital logic circuit design is of vital importance in the education of electronic engineers. Since digital logic circuits are the foundation of many current technological developments, children of school age should have the opportunity to explore the realm of electronic engineering, preferably early on in their education. Mechanic logic gates can support the understanding of students and schoolchildren by using an experiment-based learning approach and profiting from the technological advance of current 3D-printers, which are becoming increasingly available in education facilities or even at homes. For this purpose this paper proposes a new system of 3D-printable reconfigurable mechanic logic gates, composed of limited individual configurable components. Furthermore, a simple systematic and intuitive method for performing technology-mapping for any given Boolean expression into those configurable mechanic logic gates is also described in detail. This approach enables schools or universities to teach the foundations of logic circuits at low costs. Finally, by following the proposed technology-mapping approach, any student can create specific complex mechanic digital gates and print it, using a 3D-printer.
The Application of Firefly Algorithm Based on Clustering in the Dispatching of Electric Power System Containing Wind Power Farm
Jiao, Bin; Yang, Li (China)
ABSTRACT:
Wind power generation has got great development in recent years as a new type energy, but there are some problems in its connecting to grid. Wind power generation’s output is difficult to forecast and control because of wind speed’s instability, difficulty of being predicted[1]. The electric power dispatching's main goal is to make the generating cost, pollution emissions, grid stability and so on to achieve optimal. In recent years there have appeared many methods to solve this problem, such as particle swarm algorithm[1], genetic algorithm[2][3] and the other traditional algorithm of swarm intelligence. Although these methods have made certain progress, they also have certain limitations, such as the population convergence to the local optimal solution prematurely[4]. In this paper we combine the leapfrog algorithm’s clustering thought with5 the firefly algorithm to solve the premature convergence problem. The new method is applied in the dispatching of electric power system containing wind power farm and the results achieved a better solution compared with the basic firefly algorithm and particle swarm algorithm.
The Optimal Allocation of Micro-Grids Based on Multi-Strategy Improved Genetic Algorithm
Zhao, Jiayu; Qin, Wenping; Han, Xiaoqing; Wang, Ying; Liu, Tingting (China)
ABSTRACT:
The optimal allocation of micro-grids has become an important issue in distribution network planning and operation. A multi-strategy improved genetic algorithm-chaos quantum genetic algorithm is proposed to determine optimal locations and capacities of micro-grids in the distribution network planning considering various system costs, active network loss and minimum load node voltage deviation, and its objective function is established with different network constraints. A 35-node radial distribution network of Taiyuan 10kV network is a case to illustrate the proposed algorithm. The proposed algorithm and genetic algorithm are compiled and compared by MATLAB. The sensitivity analysis is made according to the optimization results by using HOMER.
The Value of Corporate Reputation in the Bankruptcy Risk
Casado, A. M. *; Yánez, Estela R. **; Peláez, Andrea * (* Spain, ** Ecuador)
ABSTRACT:
In recent years CR has been considered by experts as one of the most important intangibles assets for sustainability of the companies. Existing literature designates several positive aspects of a good CR, highlighting that companies with better CR have superior financial performance. In this sense, some recent researches, conclude that a good CR decreases the risk for companies, focusing on the relation between CR and the variability of returns
over a period of time. Nevertheless, as far as we know, there are no studies analyzing the relation between CR and bankruptcy risk, what it is an important component of the unsystematic risk, and an aim element in Strategic Management. This is why the aim of this paper is to show, based on empirical evidence, that a good CR helps companies to minimize bankruptcy risk. To
answer this research question, a sample of Spanish companies in the Share Market between 2008 and 2012 has been used, and an algorithm based on Generalized Regression Neural Networks (GRNN). Results shown that a good CR is positively related to a lower bankruptcy risk, and those models built with GRNN are more robust than those others based on traditional statistical techniques, like Multi-Linear Regression models.
Towards to a Predictive Model of Academic Performance Using Data Mining in the UTN - FRRe
La Red Martínez, David L.; Karanik, Marcelo; Giovannini, Mirtha; Scappini, Reinaldo (Argentina)
ABSTRACT:
Students completing the courses required to become an Engineer in Information Systems in the Resistencia Regional Fac-ulty, National Technological University, Argentine (UTN-FRRe), face the chal-lenge of attending classes and fulfilling course regularization requirements, often for correlative courses. Such is the case of freshmen's course Algorithms and Data Structures: it must be regularized in order to be able to attend several second and third year courses. Based on the results of the project entitled “Profiling of students and academic performance through the use of data mining”, 25/L059 - UTI1719, implemented in the aforementioned course (in 2013-2015), a new project has started, aimed to take the descriptive analysis (what happened) as a starting point, and use advanced analytics, trying to explain the why, the what will happen, and how we can address it. Different data mining tools will be used for the study: clustering, neural networks, Bayesian networks, decision trees, regression and time series, etc. These tools allow differ-ent results to be obtained from different perspectives, for the given problem. In this way, potential problematic situations will be detected at the beginning of courses, and necessary measures can be taken to solve them. Thereby, the aim of this projects is to identify students who are at risk of abandoning the race to give special support and avoid that situation. Decision trees as predictive classification technique is mainly used.
Training verses Education: eLearning, Hybrid, and Face-to-Face Modalities - a Participatory Debate (Invited Paper)
Blair, Risa; Serafini, Tina M. (United States)
ABSTRACT:
Is training education or is education training?
Universities and organizations treat training and education synonymously, but it is worth exploring the differences.
Universities are scrambling to standardize a preferred delivery method of education and training. With the blended modalities of eLearning, face-to-face, and hybrid learning, the educational delivery seems to be equalizing. The disruptive shift with technology in education or training is complicated by the expectations of our millennial, Gen Y, and Gen Z students.
As an added pressure at the university level, even more
importantly, the expectation of the administration and the accrediting bodies keep changing the ‘play book’ on requirements. Given the ever changing complexities of today’s paradigm-shift in education and learning, we explored the complexities of navigating the delivery methods to achieve educational goals in higher education or training goals in corporate America
Using Case Study Videos to Effectively Teach Software Development Best Practices
Acharya, Sushil; Manohar, Priyadarshan; Wu, Peter (United States)
ABSTRACT:
The fundamental challenge to a solution to improve software quality is in the people and processes that develop and produce the software products. Imparting real world experiences in software development best practices to undergraduate students is often a challenge due to the lack of effective learning tools. This pedagogical requirement is important because graduates are expected to develop software that meets rigorous quality standards in functional and application domains. Certain best practices are difficult to comprehend by course lectures alone and are enhanced with supplemental learning tools. Realizing the necessity of such teaching tools, we designed and developed six (6) delivery hours of case study videos for use in courses that impart knowledge on Software Verification & Validation (SV&V) topics viz. requirements engineering, and software reviews. We see case study videos as active learning tools for the students in our flipped classroom approach. We present our design of the case study video in its generic components envisioning how it may be used in general. The case study video design includes the learning objectives to indicate how the course design meets the learning outcome objectives for ABET accreditation. We further applied a classification of the learning objectives to present the case of the case study video as active learning tools. Our implementation has been disseminated to partner institutions for feedback and review.
Copyright © 2016 by International Institute of Informatics and Systemics
Published by International Institute of Informatics and Cybernetics