International Institute of
21st Century Grant: An Afterschool Program Health and Well-Being Impact on K-12 Students
Ash, George; Kokiko, Charles M. (United States)
ABSTRACT:
The purpose of this review is to identify the impact that a federal 21st Century Grant may have on the student within an educational community if physical activity is included in the program. The primary focus of the researchers is to review the academic, health and wellness, and social impact on afterschool programming. This review seeks to focus on the numerous positive activities for at-risk students in an afterschool program and how it correlates to academic, well-being and social progress of the students who have stakeholder involvement.
A “Smart City” Concept for Russian Cities – Does It Work?
Gribanova, Galina; Vulfovich, Revekka (Russian Federation)
ABSTRACT:
The article is a sort of an introduction to the "smart city" concept, with its various aspects, metrics, and problems to solve, with a special emphasis on the actual situation and trends in Russia. Every year the urban population increases and this process produces new complicated problems for the city as a system, its government and inhabitants. Housing, transportation, education, healthcare, infrastructure and other city life domains become overstressed. The need for new ICT technologies and other technical solutions to overcome the main difficulties is evident, but the introduction of new technologies alone can’t make the city life more comfortable and equitable. The smart city concept is evolving and includes now many components connected with better democratic governance and different participative mechanisms. The same trends can be found in Russian cities including Saint Petersburg. But there are many barriers on the way to the implementation of a smart city model - economic, financial, technical, social and others. In any case the discussion around this concept throws a new light on further technological and social approaches to urban development.
A Case Study in Academic Informing Science as Applied to Environmental Remediation
Heim, Bradley L.; Rogers, William J. (United States)
ABSTRACT:
This paper explores Academic Informing Science focusing on Informing via Consulting or Practice node as it applies to the ongoing oil boom in the Permian Basin region of Texas, USA. In the selected case, the ranch property owners have seen decades of oil production activities through oil leases to major oil companies. Omega Environmental Solutions (OES), a company specializing in ecological risk assessment and a consultant in cases of environmental remediation, was contracted by the ranch to determine the extent of the environmental remediation required to return the land in and around decommissioned wells to a condition that would permit agricultural activities to recommence. OES, in association with the Environmental Science department of West Texas A&M University developed an initial plan to evaluate the Area of Concern (AoC) as an academic exercise that provided four graduate students with an experiential learning opportunity exercising the cybernetic loop between “Informing by Teaching” and “Informing via Consulting” [8]. After communicating the results of the initial research to OES and the representatives of the ranch, a decision to commit significant resources to the project resulted in an increase in project scope, specifically, a seven month on-site analysis increasing the granularity of the analysis through inclusion of site geo-located photography and soil sampling to determine the presence of three likely contaminant groups known to exist where oil production activities have occurred. As the number of sites evaluated increased additional communication channels were opened to include the testing laboratory sending results to the IT team member for data aggregation and processing. This case study can be shown to exemplify the transdisciplinary nature of Informing Science as applied to the science and practice of environmental analysis and remediation.
A Method for Defining, Measuring and Processing of Implant Quality Data
Batos, Vedran; Zakarija, Ivona (Croatia)
ABSTRACT:
The purpose of this paper is to present one method for defining, measuring and processing of implant quality data, by application of information and communication technology (ICT) for biomedical purposes. The proper application is leading to the proposed automated process that started with measurement procedure collecting data from biomedical environment using electrical measuring devices, converting data into transferrable values sending them through wireless network to computing unit and ending with finally processed outcomes. Reaching the computing unit, data are processed in real-time, grouped by selected processing results and by dedicated criteria best samples are recommended for further usage. Sampled data present transient voltage values generated on element and collected for further data processing and analysis. Statistical treatment of results was performed by computing process and the resulting characteristics were used as the basis of the sample quality classification.
A Proposal for Developing a Comprehensive Ontology for Smart Cities / Smart Buildings / Smart Life
Baracho, Renata Maria Abrantes *; Soergel, Dagobert **; Pereira Junior, Mário Lucio *; Henriques, Mariana Almeida * (* Brazil, ** United States)
ABSTRACT:
This paper presents a proposal for a community-driven comprehensive ontology for the interdependent ecosystem that included Smart Cities, Smart Buildings, and Smart Life with connections to Smart Business and Industry. We argue the importance of such an ontology (more broadly: Knowledge Organization System or KOS) for the integration of many specialized information systems and insights gained from machine learning, which in turn supports the integration and mutual reinforcement of activities in planning, building, and operating smart cities and smart buildings in the service of real human needs, improving the quality of life and the efficiency of life activities. Such a Knowledge Organization System would allow us to map in detail the complex interactions of the many processes, objects, and factors in the interdependent ecosystem. It would facilitate the application of artificial intelligence (AI). It would allow us to relate key human needs to available resources and to work towards a sustainable planet. The paper illustrates the interdependent ecosystem through several examples, discusses the contributions of KOS and models, presents first thoughts on how a comprehensive Knowledge Organization System might be structured, and culminates in the proposal of developing such a KOS on a collaborative platform.
AI and the Agile Workplace
Baggio, Bobbe; Omana, Nov (United States)
ABSTRACT:
The new work environment will support a global marketplace, exchanging goods and services and exploiting the integration of AI, which has the potential to bring benefits and challenges of unlimited scope. The path of adaption will certainly reward those willing to take entrepreneurial challenges and utilize the benefits of AI. This will provide vast opportunities for new products and services and enormous improvement in productivity and efficiency, as well as increase potential revenue and competitive positioning. The revolution will not come without trials including the possibility for enormous wealth inequalities, skyrocketing unemployment, and dangers and disadvantages. Those in positions where the work is cognitively or task repetitive are the most vulnerable.
This research investigates and provides insights on the various considerations that will shape the adoption and the acceptance of the change that AI introduces into the workplace. Based on investigations, the authors will extend that vision of AI as an accepted “partner” to the future of what will be logical extensions of improving work and life balance, raising the thought that this could open up an evolution and revolution of our society. Business need will advance the integration of the new AI technology.
An Interdisciplinary Approach to Assessing Vulnerability of US Midwest to Drought and Heat Waves
Allen-Dumas, Melissa R.; Toole, G. Loren; Tidwell, Vincent C. (United States)
ABSTRACT:
More severe summer heat waves and droughts in the US Midwest attributable to climate change as well as changes in population distribution can create significant operational stress in the future. Planning options could potentially reduce these vulnerabilities. Costs and benefits of these options must account for population shifts and the impact of climate on electricity service areas, ranges of electricity demand and supply limitations, modification of demand in response to new end-use technology and linking water usage with power plant outages. Three adaptation scenarios based on changes in electricity supply and demand for the greater Chicago, Illinois area were explored by applying a unique set of coupled infrastructure models created by US National Laboratories. The authors find that due to projected population changes in the region, the total number of metered customers approximately doubles by 2054 and total electric energy usage increases over 70%. The latter effect is due in part to projected increases in maximum summer temperatures and frequency of heat waves in the region. Concomitantly, low availability of water during drought conditions and high temperature effluent discharges during heat waves and higher overall temperatures will threaten operations for 30% or more of current power plant capacity reducing critical supply during peak demand. These conditions could lead to a severe supply reserve deficit by 2054 and rapidly declining capacity margins during prior decades. New technology and other changes such as effective demand-based rates could substantially modify customer usage post-2024. Additionally, many water-cooled power plants near the end of their operational lives could be replaced by more water efficient generation, at least partially mitigating these effects.
Analysis of the Opportunities of Industry 4.0 in the Aeronautical Sector
Guyon, Ines; Amine, Rachid; Tamayo, Simon; Fontane, Frederic (France)
ABSTRACT:
Introduced for the first time in Germany in 2011, Industry 4.0 is a concept based on the fusion between the digital and physical worlds, offering potential advantages in terms of flexibility, productivity, decreased expenses and improvement in quality. At the same time, the aeronautics industry, which has been making significant commercial progress in recent years, is perceived as a sector structured by innumerable regulations with strong hierarchization of sub-contractors at all levels. This hierarchization influences the economic dependence of these actors on their instructors, and these differences and difficulties represent an obstacle to the successful integration of digitalization in the aeronautical chain of production. This article presents an overview of the challenges of Industry 4.0 alongside those of the aeronautical sector, proposing a critical analysis of the opportunities offered by the former to the latter. Our work discusses the Fourth Industrial Revolution, a disruption based on the most important innovations of recent years, which will have a huge impact on the world we know today. It sheds light on the structure of the aeronautical sector and the importance of the “ClockSpeed” factor, due to the amount of technologies with different regeneration rates on board aircrafts. Finally, our analysis highlights the limits of Industry 4.0 and why it is relevant to apply it to aeronautics.
Anthocyanin Dye-Sensitized Nanocrystalline Energy Lab
Cleaver, Patrick J.; Lunsford, Suzanne K.; Huang, Hong (United States)
ABSTRACT:
Harvesting sufficient energy to power our ever-expanding and interconnected world is a challenge that will continue to grow into the future. At present, we are faced with supplying our energy needs using the commercial energy production technologies at hand. The desire to reduce the use of fossil fuels has contributed to an expansion of technologies that can be used to harvest, store and convert energy. Of these technologies, solar energy has received a large amount of attention due to its ability to collect free, natural sunlight that bombards the earth every day.
Solar technology has gained an increased level of attention worldwide as affordable and clean energy sources garner more demand. While public awareness of solar technology continues to grow, it’s technology is not often well understood. Also, lesser known is the fact that there exists a large variety of solar materials and device configurations. Of these technologies, Dye-sensitized solar cells (DSSC) can be constructed with relatively simple fabrication methods, from readily available materials, Figure 1. These attributes make it a great technology to demonstrate how solar technology works in the classroom setting. There are seven captivating reasons why to change over to solar energy, 1: Solar energy will reduce one’s carbon footprint and promote green clean energy, 2: Less expensive alternative than fuel, 3: Solar energy can make use of underutilized land such as 45-acre solar farm could power a whole neighborhood of homes, 4: Solar energy assists with savings on electrical bills/fossil fuels, 5: Solar panels/solar energy less likely to lose power from disastrous storms, 6: Solar energy creates long-lasting jobs, 7: Solar energy saves money with long-term usage, and has simple upkeep and maintenance. This inquiry-based DSSC classroom activity has achieved high-gain content learning hands-on experiences related to an important everyday aspect, such as renewable energy.
Back to Square One: Fostering a Culture of Tolerance as a Way of Modern Society’s Development
Nõmm, Jelena (Estonia)
ABSTRACT:
The article discusses the issues of fostering tolerance in a multicultural society. The author suggests a hypothesis on the factors that develop tolerance in representatives of a national / linguistic minority. The study is of an interdisciplinary nature, and it integrates background knowledge and research tools of such disciplines as history, culture studies, psychology, education, sociology, intercultural communication, linguistics, etc. The study focuses on the contemporary Russian community in Estonia and its relations with the title ethnos. The implementation of the case study methodology allows to follow the history of the interconnections between the Russian and the Estonian communities, to reveal the psychological vector of their development, to define topical issues of the current situation and to map solutions to the revealed problems. As the questions of fostering a culture of tolerance is also important in other countries in the world, the results of the conducted qualitative research are believed to present both theoretical and practical interest extending beyond the context of the Estonian society.
Breaking the Survivorship Bias Mold: How Studying Economically Distressed Regions May Change the Research & Consulting Feedback Loop and Policy Prescriptions in Regional Economic Development
Slaper, Timothy (United States)
ABSTRACT:
This paper addresses the fact that there are a limited set of policy options for economically distressed or “at-risk” U.S. regions/counties. Most at-risk regions are too small or lack the resources and human capital to implement any of the standard set of strategies such as expanding the creative class, industry cluster-based growth strategies or industry diversification.
The regions that succeed – the survivors – are often held up as role models, but those who struggled and didn’t make it to the top may provide clues as to what is needed for success.
We examine the worse performing U.S. counties to ascertain their similarities and differences. Using county employment growth from 2001 to 2016 as the measure of performance, we assessed a set of county characteristics across: 1) industry structure, 2) occupational structure, 3) social capital and demographic data and 4) innovation measures. We conducted several quintile regressions and found few robust and insight-enhancing results. We posit that the methods and even the variable selection process itself may suffer from survivorship bias. Different approaches are needed. We propose using visualizations to discover patterns of regional characteristics to develop a regional narrative. At-risk counties are different in different ways. This points to the need to conduct a case study of each specific county, with a set of the feasible policy options for that county as the starting point.
Communicating with Older Adults about Drug Interactions: the What, How and Where of Drug Interactions; A Report on a Study
Katila, Sanda (United States)
ABSTRACT:
Many resources are available to inform patients about prescription drugs, yet people are still unclear about the adverse effects of drug interactions: drug-to-drug, drug-food and drug-alcohol interactions. Though medical schools and pharmaceutical sciences educate students to speak to patients about drug interactions, there is no available data about those conversations from a patient’s perspective. The paper reports on the qualitative study of 20 adults, age 60 and older, taking five or more medications daily revealing three major findings; literature review shows participants did not know the meaning of the terms “drug interactions or “drug interaction effects;” participants did not know where to look for healthcare information, could not say where the reputable sources may be found; communication between doctors and patients about drug interactions is lacking. The purpose of this paper is to report on the study revealing significant findings in order to reduce the incidence of drug interactions in the future.
Cryptography Service Provider - Data Encryption
Aloev, Rakhmatillo Djuraevich; Nurullaev, Mirkhon Mukhammadovich (Uzbekistan)
ABSTRACT:
The work is devoted to the description of the software of the cryptographic data encryption module developed by the authors of this article on the basis of national state standards. It should be noted that all results are new and published for the first time.
Data Anonymization and Sampling Algorithms Using Imbalanced Datasets for Deep Learning
Niimi, Ayahiko (Japan)
ABSTRACT:
Most real data are imbalanced and thus present difficulties as a subject of classification problems. Some research has been conducted on the topic of imbalanced data. However, managing such data in deep learning has not been considered. In this study, we propose privacy-protection data mining using imbalanced data through deep learning. We discuss existing privacy protection data mining, study its features, and examine a deep learning based anonymizing tool. We also disscuss the data anonymization and sampling algorithms using imbalanced datasets. Experiments using various anonymization tools confirm that deep learning does not reduce data accuracy by making that data anonymous. Under and uppersampling are both used for imbalanced data, but the tendencies of these approaches to reduce data accuracy because of anonymization have not been confirmed.
Digital Technologies for Pricing Problems - A Case Study on Increasing the Level of Digitization at a Leading German Retail Company
Weber, Felix; Schütte, Reinhard (Germany)
ABSTRACT:
In many parts of the retail sector, the market structure is oligopolistic which leads to high interdependencies of the decision parameters (price, product, promotion, placement). Still, the analysis of interactions and the resulting automation of decisions has not yet progressed much. The ever-increasing intra and inter-competition, increased costs, and a lower differentiation margin have led to the need to re-think the low priority of these parameters at one of Germany’s largest retailers. The presented case study focuses on a research and consulting project on the digitization of price management. In an initial step, the transparency within the software systems was increased by making the competitors’ prices available. This was followed by increasing automatization using the store’s individual competitive factors. In a final step, a proof of concept was sketched to cope with the immense amount of data and the complexity of algorithms by using in-memory database technology. Within the project, it became clear that digitalization is a continuous process, as the company is not fundamentally at risk in the situation under consideration. Moreover, digitization is not independent of the degree of digitization that has already been achieved. The consulting project showed major results: about 25% of the total manual workload was reduced and an overall margin improvement of 0.2 percentage points could be achieved.
dldld: An Experiment in Subversive Game Design
Anderson, Keegan C.; Coffey, John W. (United States)
ABSTRACT:
The goal of this project is to explore strategies to subvert the expectations and assumptions that players bring into a game space. The goal is to produce a particular experience by creating a subversive game, and to evaluate the relative success of this attempt. Participants in an exploratory study played a game and provided feedback on their experiences and expectations. An analysis of this feedback indicated that a large majority of players made incorrect assumptions at the start of the game and corrected them by the conclusion of the game.
Effective Collaboration Research Project on IT Solution for Automatic Measurement of Timber Assortment
Mitrofanovs, Ingus; Cekule, Marita (Latvia)
ABSTRACT:
This paper deals with experience about the research project development with industry for the solution of specific problem. Nowadays most of higher educational institutions are particularly interested in implementing joint projects with industry, sharing experiences and resources to jointly develop new technologies and innovative products. In the University of Latvia within the framework of an effective collaboration projects program, a mutually beneficial shared cost system for the needs of scientists and businessmen’s is possible for solving the tasks of the both partners. Joint Stock Company “Latvia’s State Forests” were interested in development of an automatic volume measurement of logs and wood chip loads on trucks. To solve this problem, a methodology and a technological solution are needed to allow remotely perform volumetric surveys and monitoring. It is significant with the intense development of forest and logging industry. The system consists of measurement arch with video cameras and IT solution - video processing and analysis software, a graphical user interface, data communication channels and storage systems. Video information is obtained from cameras that simultaneously acquire raw data from the object of the video processing area - both sides and top. The information is transmitted to the external systems via data communication channels. The system will be used for automated volume measurement because in Latvia this process is currently performed by persons who manually measure loaded logs or wood chips on the trucks.
Electrochemical Determination of Phenols, Chlorophenols and 1,2-Dihydroxybenzenes by Voltammetry at Carbon Nanotube-Poly-3-Hexylthiophene Modified Electrodes with and without Nanoparticles
Lunsford, Suzanne K.; Zhai, Lei (United States)
ABSTRACT:
Modified electrodes with CNT plus poly-3-hexylthiophene composites with and without Ag nanoparticles for the determination of phenols, chlorophenols and 1,2-dihydroxybenzenes were examined. The green synthesis of Ag nanoparticles using household chemicals was integrated with content knowledge on conductive polymer modified electrode surfaces. The effect of the modifiers on the electrode was evaluated and the response was optimized for the voltammetric determination of phenols, chlorophenols and 1,2,-dihydroxybenzenes. The stability of the modified Carbon Nanotube Poly-3-hexylthiopehne (CNT-P3HT) versus the Controlled Potential Electrolysis (CPE)-P3HT will be examined over several scans.
This lab project has allowed the students to learn about designing an electrode which exhibited under optimized conditions good performance. An important class of conductive polymers such as polythiophenes should enhance the catalytic activity of the electrode surface compared to the bare electrode response to pollutants such as phenol. However, some polythiophenes [(poly-3-hexylthiopene versus poly(2,2-bithiophene)] will exhibit a better response to phenols integrated with CNT to further enhance catalytic activity than others which will be shown. The modified CNT-P3HT electrode without nanoparticles versus the P3HT grown electrochemically by Controlled Potential Electrolysis (CPE) assisted with the quantification of 1,2-dihydroxybenzenes such as epinephrine. This application can be utilized to detect phenols/chlorophenols in water which have similar chemical functional (-OH) group, thus selective for this functional (-OH) bond.
Empowering Cybersecurity Students as Consultants
Javidi, Giti; Sheybani, Ehsan (United States)
ABSTRACT:
Colleges across the country are rapidly creating cyber degree programs and competing to recruit students into cybersecurity fields. Yet, there seems to be a growing gap between what graduates learn in school and what the market demands. The real challenge in higher education is making sure new graduates are prepared for the real world. This paper calls for the need for a multilayered approach to cybersecurity education that combines ideas from integrative learning theory and experiential learning. In this article, we describe our motivations for proposing student-run company to create student-driven learning experience and how it has the potential to prepare E-shaped students to meet the fast-growing demands in cybersecurity workforce. By consulting, students will acquire a sense of urgency to provide solutions to community problems, strengthen their technical skills and practice the soft skills needed in the profession. We describe why college students should be equipped to conduct consulting projects with faculty supervision.
Enhancing the Life of Legacy Software through Refactoring Based Systematic Transformation
Chug, Anuradha; Gupta, Shelja (India)
ABSTRACT:
Refactoring process enhances, improves and restructures an existing code by manipulating its interior structure without influencing its outer conduct. The legacy codes are outdated application software which are difficult to maintain due to the change in technology, however, retiring them is not feasible sometimes due to their historic significance. Reconstructing large legacy software becomes more and more intricate due to the complexity developed in it as it evolves over time. The current paper presents a refactoring-based systematic transformation technique which is applied to the existing legacy code in order to enhance its life. In this empirical investigation, an open source system, Trip-Service-Kata is used and certain software metrics are measured and further used as an indicator of deterioration in software quality. This empirical study successfully exhibits how refactoring can improve the software quality of a legacy code and enhance its life.
Evacuation Planning as a Key Factor in Disaster Management: The Contribution of the H2020 IN-PREP Action
Marsella, Stefano *; Pozzi, Davide *; Marzoli, Marcello *; Ferrucci, Fabrizio *; Filippidis, Lazaros **; Lawrence, Peter **; Veeraswamy, Anand **; Garibaldi, Claudio * (* Italy, ** United Kingdom)
ABSTRACT:
Emergency management of urban or territorial scale disasters can benefit from a new generation of applications that simulate mass evacuation. Most of emergency plans drawn for large scale emergencies, indeed, lack in quantitative assessments of the time the people need to escape from an active threat (flooding, forest fire, toxic spills, e.g.) and to reach a safe place.
The European Commission’s H2020 Innovation Action IN-PREP [1] has developed a tool that gathers data to support decisions in emergencies involving large numbers of people. The tool was demonstrated for the first time in Spoleto (Italy) during a table-top exercise carried out on November 29, 2018. The exercise, simulating the occurrence of a HazMat leakage in urban environment, was organised by the Italian National Fire Corps. It aimed at providing first responders and emergency managers with a more efficient emergency planning, while contributing to improving preparedness and response to complex disasters in sensitive environments.
The research demonstrated that traditional emergency plans are inadequate to deal with real case large scale emergencies, while the integrated decision support system developed by the IN-PREP action can already substantially help in reaching the goal set by rules and standards.
Exploring Impacts and Preparedness of Dual Enrollment for Student Success in Technology Courses
Boyette-Kelly, Artraelle; Braman, James (United States)
ABSTRACT:
Dual enrollment (attending high school and college simultaneously) can be advantageous to students for many reasons. These programs provide students with college-level coursework and expectations before completing high school. This paper explores the impacts of dual enrollment, specifically as it relates to how well students are prepared for success when they are fully in college. As a preliminary exploration, several questions are presented as well as background information on dual enrollment issues. This paper presents a first step in developing a framework for exploring the impacts and preparedness of dual-enrolled student success. The primary question this paper explores is “How does dual enrollment prepare students for success?”. In addition, technology is explored as a component of success.
Fabrication Laboratory as the Learning Environment for Higher Education
Barth, Henrik (Sweden)
ABSTRACT:
There is a growing trend of using digital production, such as additive manufacturing, in direct consumer markets. Digital production enables new and advanced tools, which provide shorter development time and lower cost for manufacturing. In this paper we focus on the education and learning environment for digital production and prototyping at a fabrication laboratory (FabLab). FabLab (Fabrication Laboratory) is a small-scale innovation space offering digital fabrication and production. A FabLab is, among many things, a platform for learning and exchanging experience when experimenting and developing new solutions. FabLabs bring together students, researchers and teachers as well as industrial partners in a single physical location for the purposes of designing, prototyping, and do-it-yourself manufacturing. This explorative and creative environment provide insights to knowledge creation, based on the constructive learning theory, which address active involvement by the participants. To take full advantage of this creative learning environment, aspects such as student characteristics, the nature of the subject matter, and the teaching carried out by the staff, also needs to be addressed.
Faculty Perspectives about Teaching Approaches for the Digital Environment
Chaudhry, Abdus Sattar (Kuwait)
ABSTRACT:
Emergence of digital environment has necessitated that teaching strategies are made responsive to the learning needs of the new generation of students and professionals. Faculty members agreed to change the context of teaching of knowledge organization courses from institutions to individuals and to take initiatives for collaborative teaching. They were cautious about making courses flexible and appear to prefer conservative approach for changing from past practices to more open approaches.
Higher Education Challenges: Improving Cooperation and Creativity by Using Drama Techniques in EFL Teacher Training
Puskás, Andrea (Slovakia)
ABSTRACT:
The importance of creativity and cooperative learning in foreign language teaching has been emphasised by several scholars and researchers. Contemporary higher education teacher training programmes preparing future teachers of English as a foreign language need to incorporate the development of creativity and cooperation skills into their study programmes so that trainees can become confident teachers who will be able to inspire their learners to be creative and open to new ideas. The paper discusses the concepts of cooperation and creativity in English as a foreign language teacher training and pays special attention to the application of drama techniques by highlighting the relationship between educational drama and creativity and cooperation skills. The author presents the findings of a research carried out from the beginning of 2012 to the beginning of 2019 at the Department of English Language and Literature, Faculty of Education at J. Selye University, the only Hungarian minority university in Slovakia. On the basis of the presented results the author proposes that the application of drama techniques in foreign language teaching helps to improve the trainees’ cooperation skills and creativity.
Instructional Leadership and Learning Immersion for Students with Disabilities: A Paradigm for Inter-Disciplinary Communication Using Informatics
Roache, Darcia *; Thompson, Laura **; Freeman, Kennith ** (* Canada, ** United States)
ABSTRACT:
As universities strive to predict completion rates among students with learning disabilities [1], it is essential to determine and make distinctions between the parameters used to assess learning immersion and engagement. Through an ethnographic view, this study will investigate the instructors' perception of case-based or faculty-led personalized system of instruction for students with disabilities. Originally derived from the [2] and [3], the proposed work is part of a multi-phase design longitudinal study, initially published in 2014. At that time, instructors agreed that student engagement increased overall retention of material.
[1] Yu, M., Novak, J. A., Lavery, M. R., Vostal, B. R., & Matuga, J. M. (2018). Predicting College Completion Among Students with Learning Disabilities. Career Development and Transition for Exceptional Individuals.
[2] Skinner, B.F. (1968). The technology of teaching. New York: Appleton-Century-Crofts.
[3] Keller, F.S. (1968). Goodbye teacher…Journal of Applied Behavior Analysis, 1, 78-79.
International Regulation of Cybersecurity – Legal and Technical Requirements
Kipker, Dennis-Kenji; Mueller, Sven (Germany)
ABSTRACT:
During the last years, several countries have started to address cybersecurity issues in their legislation, including Germany, Russia, China, the United States and the European Union as a community of states. The article will introduce some of the most important cybersecurity regulations which have been adopted in recent years or which will be adopted soon, as well as their implications onto the business and technology sector.
Based on the German IT Security Act (IT-SiG), which came into force in 2015, the European Union has introduced its Network and Information Security Directive (EU NIS) in 2016 with similar obligations, but now also including Digital Service Providers such as online marketplaces or cloud computing service providers.
Russia has introduced its first Cybersecurity Doctrine in 2000, which has been revised in 2016. This directive has formed the legal basis for the new Russian Cybersecurity Law.
The Chinese Cybersecurity Law of 2016 (CSL), which came into force in 2017, is also relatively new, with several administrative regulations as well as technical norms and standards following as specific means of concretization.
U.S. regulation for cybersecurity is spread among different branches of industry and levels of legislation, with a focus on the new IoT-Law in California as well as the Cybersecurity and Infrastructure Security Agency Act, which has been signed by US president Trump on 16th of November 2018.
Managing Complexity in Knowledge-Intensive Manufacturing Firms in Big Data Era. The Importance of Internet of Things and Artificial Intelligence
Ciampi, Francesco; Rialti, Riccardo (Italy)
ABSTRACT:
Firms are by definition characterized by a high degree of complexity. Indeed, firms are complex systems whose success is strictly related to several different internal and external involved players and contexts. This is particularly true for knowledge-intensive manufacturing firms, which increasingly need huge amount of data and a wide spectrum of information flows spanning the whole organization. Hence the need to explore more deeply the impact of digital technologies on this category of firms. The aim of this research is to investigate whether and how information systems based on internet of things (IoT) and artificial intelligence (AI) may allow managers of knowledge-intensive manufacturing firms to better manage complexity.
Model for Optimization of Drilling, Blasting and Fragmentation Processes in Medium Mining
Caballero, Erick; Calixto, Rosa; Arauzo, Luis; Raymundo, Carlos (Peru)
ABSTRACT:
This study aims to propose a new alternative to optimize drilling and blasting processes from the mathematical and geological viewpoint using simulation software. The main objective is to design a systematic model of steps that can generate a simulation through JkSimBlast. This simulation must represent the best alternative for the design of drilling mesh and explosive selection to be implemented in the field. To achieve this goal, a seven-step process diagram was proposed, including geology, design aspects (burden and spacing across the areas of influence algorithm), analysis of physical parameters such as detonation rate, drill-mesh design, explosives selection and fragmentation analysis, simulation tests that could represent the field designs, and selection of the most optimal simulation. For the collection of parameters in the field, we have used MicroTrap Software and WipFrag, which have allowed the design of a mesh according to the needs of the rocky massif. The most optimal simulation was implemented at Caravelí Mining Company-Estrella Unit and had a positive impact on the optimization of drilling and blasting, as the costs of these processes were reduced by 14.6%. Specifically, the costs of explosives were reduced by 2.6% and the costs of drilling steels by 10.4%. The performance of the loading machine advance/shot increased by 13.2% and 15.6%, respectively.
mSIGA - Mobile Application for Birth and Death Registration in Hospitals and Remote Population Areas
Pinto, Renato; Sousa Pinto, Joaquim; Oliveira, Raúl Jorge (Portugal)
ABSTRACT:
Civil Registration, through vital statistics, provides fundamental information to the analysis and planning of multisector policies based in population’s age and geographic dispersion. Civil Registration and Vital Statistics (CRVS) based on digital systems and automated tactics compose an integral part in the support of developing countries. It is important to set these systems to reach more acceptable levels of coverage[1], [2] and ensuring the right of a citizen to an identity and legal citizenship[3].
In this article it will be described a mobile application for birth and death registration in hospitals and remote population areas. mSIGA is currently a work in progress.
Optimized Model for Pre-Cut Blasting in Mining Operations in Underground Mining in Peru
Pomasoncco, Alexander; Trujillo, Claudio; Arauzo, Luis; Raymundo, Carlos (Peru)
ABSTRACT:
In the mining industry of Peru, as a consequence of large scale mineral extraction and a dynamic process of ore dressing, the different activities of the operation are neglected. This neglect, in some cases, generates collateral damages that affect the structures, generate extra costs, and result in constant accidents due to rock-fall and delays in the activities of the mining cycle and the ones following it, which seriously harms the Mining Unit and directly affects the workers. In addition, this is directly related to the progress of the daily work and, in turn, it is related to the design of the mine mesh that is prepared to extract the largest possible mineral amounts per shift. This means that, by modifying the design of the mine mesh, the blasting method, and the type of explosive used, the current scenario and the results could be modified. In this respect, a research was conducted, exclusively based on simulations using the JK Simblast software, applying the pre-splitting blast method in the underground mine of the Minera Aurífera Retamas SA company, resulting in a reduction of over break in more than 60% as compared to the mesh used initially. This has an impact on the level of support to be used, and therefore, on the maintenance costs, which were reduced by 18%. Therefore, this article presents the possibility of reducing maintenance costs in underground mining using pre-splitting blasting.
Optimized Pre-Splitting Model in Controlled Blasting to Improve the Speed of the Slopes in the Open Pit Mine in Perú
Tamara, André; Arce, Bryan; Arauzo, Luis; Raymundo, Carlos (Peru)
ABSTRACT:
Presplitting is a controlled-blasting technique with applications in open-pit mines. The main purpose of this technique is to prevent and control overbreaks caused by excessive vibrations due to blasting. This technique is especially effective in controlling overbreaks because it provides a separation surface between the main blasting pattern and the walls of the final slopes. The drilling mesh and loading conditions in the drill are designed in this study by considering the uncontrollable variables of the rock mass as important factors. The proposed model for the presplitting optimization process helps to optimize controlled-blasting designs. The main idea of the proposal is to develop a model that includes the most relevant processes, as well as the most suitable parameters for an efficient design.
Precedent-Based Design as a Case-Driven Problem-Solving Technique in Engineering Design
Eilouti, Buthayna (Saudi Arabia)
ABSTRACT:
In engineering design, existing cases related to a given design problem represent a rich repertoire that is used by designers, educators and students to establish a point of departure, present an inspiration resource, or justify a decision. In spite of their potentials, systematic methods to retrieve knowledge embedded in existing cases, extract information from them, and restructure this knowledge to initiate emergent designs have not been adequately articulated. Within the scope of case-based engineering design, this paper demonstrates how knowledge extracted from an analysis of a case can be retrieved, categorized and mapped into usable forms. The scope of this research is architectural design, but many of its proposed models can be used in other disciplines. The main argument of this paper is that using knowledge retrieval within a reverse engineering approach can inform new designs and facilitate their processing. The structure presented here combines analytical models that apply retrospective methods with derivative ones that apply prospective techniques.
Productivity Analysis of LHD Equipment Using the Multiple Linear Regression Method in an Underground Mine in Peru
Prudencio, Gerald; Pino, Diego; Arauzo, Luis; Raymundo, Carlos (Peru)
ABSTRACT:
The current study is based on a multiple linear regression analysis with an objective to formulate an equation related to the productivity analysis of LHD equipment using independent variables such as the effective utilization of the equipment. To identify the independent variables, main productive factors, such as the actual capacity of the buckets, the transport cycles in the cleaning process, and the performance by means of curves, were analyzed. Comparisons of a Peruvian underground mine case study exhibited that the battery-powered equipment denoted similar production efficiencies to that exhibited by its diesel counterparts; however, the three-tier approach observed that the battery-powered equipment could achieve production efficiencies that are up to 13.8% more as compared to that achieved using its diesel counterparts because of increased effective utilization that can be attributed to long MTBF. The results of this study exhibit that LHDs under battery-powered storage are feasible for underground mining not only because of the fact that they do not emit any polluting gases, which helps to mitigate pollution, but also because of their good production performance that can be considered to be an important pillar in deep mining.
Quality Practices in Curriculum Evaluation - A Snapshots of Various Countries
Abi Raad, Maurice (United Arab Emirates)
ABSTRACT:
This paper explores the practices of different countries with respect to the quality of higher education; the countries are drawn from commonwealth countries and the United States of America. The emphasis, is to assess the prospects of IT Service Management, a service-oriented approach to curriculum evaluation in higher education. It is important to appreciate that conversations regarding the quality of higher education have been approached from substantially different perspectives, which makes the conversation complicated. Just as different people approach the topic with different frameworks, different countries have different perceptions of the quality issues of higher education and offering education as a service. In this exchange about quality in higher education it is fundamental to consider all perspectives. This exchange will degenerate into an argument about positions, as opposed to being an opportunity for learning and dialogue. The snapshots presented are indeed an opportunity to learn and create dialogue from analysing the experiences of different countries in respect to their experiences in the evaluation of curriculum in higher education, excluding the political and historical realities that have made it hard in some places to even agree on the desired content of academic programs. There are many challenges currently facing curriculum evaluation in higher education, and service-oriented perspective can provide the tools needed to address the current challenges facing curriculum evaluation. As such, this paper also evaluates the practical issues associated with the IT Service Management framework, and their viability compared with the current reported practices in the featured countries.
Ranking of Technical University Programs – Practical Application of a Theoretical Construct of the Higher Education-Business Engagement Index
Poszytek, Paweł; Jeżowski, Mateusz Wit (Poland)
ABSTRACT:
The Ranking of Technical University Programs is a new tool measuring the quality of technical studies in Europe. It is partially based on the Higher Education-Business Engagement (HEBE) Index – theoretical construct aiming at measuring the degree of university-industry interactions in six key areas: research and development activities, personnel and student mobility, competences and education, commercial activities and public engagement. On the basis of this theoretical construct a pilot research study was carried out in order to verify the potential of practical use of the indicators included in the HEBE Index. As a result, the authors discovered strengths and weaknesses of the Index and are in the process of preparing the methodology of the Ranking of Technical University Programs in Europe, based partially on the HEBE Index methodology. The present work discusses key assumptions of the HEBE Index methodology, the main results of the pilot phase and proposes the use of selected indicators in order to feed the Ranking of Technical University Programs in Europe.
Reputation Systems for Human-Computer Environments
Kolonin, Anton (Russian Federation)
ABSTRACT:
Understanding the principles of consensus in communities and finding ways to find solutions to the optimal community as a whole becomes crucial as the speeds and scales of interaction in modern distributed systems increase. Such systems can be both socially-information computer networks that unite the masses of people, and multi-agent computing platforms, including peer-topeer systems such as blockchains, operating on the basis of distributed ledger. Finally, it is now becoming possible for hybrid ecosystems to emerge, which include both humans and computer systems using artificial intelligence. We propose a new form of consensus for such systems, based on the reputation of the participants, calculated according to the principle of "fluid democracy". We expect that such a system will be more resistant to social engineering and reputation manipulation than the existing systems. In this article, we discuss the basic principles and options for implementing such a system, and also present preliminary practical results.
Research Design and Consulting through Seminars in Proactive Artificial Intelligence for Cybersecurity (SPAIC)
Sheybani, Ehsan; Javidi, Giti (United States)
ABSTRACT:
The authors have designed a platform for research and consulting through a high-level collaborative seminar series to promote networking in proactive artificial intelligence (AI) for cybersecurity (SPAIC). The primary objective is to cover a wide range of techniques in cyber threat intelligence gathering from various social media to dark-net and deep-net, hacker forum discussions, and malicious hacking. The secondary objective is to bring together researchers and consultants in the field to come up with automated and advanced methods of attack vector recognition and isolation using AI and machine learning (ML). In most cases, the hidden nature of security issues makes it hard for fixes in real time. Advanced AI techniques have proven to be superior to the current static methods in cyber threat detection. There have been numerous recent advances in the field of AI, especially in algorithmic approaches such as Speech and Signal Processing, Machine and Deep Learning, Computer Vision, Robotics, Data Mining, Augmented/Virtual Reality, Blockchain, and Cognitive Computing. These highly advanced methods provide tremendous opportunities for behavior/trend based automated analysis, detection, and prevention of cyber attacks/threats. The seminar series focus on techniques developed to identify emerging cyber threats including information on newly developed malware and exploits that have not yet been deployed in a cyber-attack. The seminar series will be augmented with various data mining and machine learning techniques as they have proven to recall malicious hacking with high precision. In addition to the potential of development of concepts and whitepapers for a large-scale center, the seminar series will result in identification and recruitment of industrial, academic and/or government partnerships in support of initiatives and research and consulting collaborations as well as creation and support of resources such as research consortia, collaboration sites or social networking tools to facilitate large-scale inter-university research programs in AI and ML in cybersecurity.
Synthesizing the Understanding of Sart-Up from Different Perspectives in Business Learning Process at University
Cekuls, Andrejs (Latvia)
ABSTRACT:
In this paper, knowledge integration has been studied as the inclusion of new information in existing knowledge in the business learning process at the University, developing an Interactive Model for forecasting the value, financial performance and overall success of business ideas. The developed model provides for the interaction between automated information and existing knowledge. In the learning process, knowledge integration focuses more on the synthesis of a particular subject from different perspectives.
The problem to be solved with the work: students and potential entrepreneurs need a concrete way to justify business decisions, as well as to calculate the company's value in the market. Using knowledge integration, students will be offered the opportunity to synthesize the content of new information in existing knowledge.
The purpose of this study is to analyze start-ups that have received investments in Latvia and around the world; understand their added values and fields of business in order to create an algorithm and release it through a universal UX-friendly business model cloud platform for students and other interested parties.
Systems View in Solving Complex Problems
Simonette, Marcel; Magalhães, Mario; Spina, Edison (Brazil)
ABSTRACT:
Solving complex problems is acting in a complex and dynamic situation. Complexity is present in the problems faced by society and to deal with complexity, to address problems, a reorganization of the ways of perceiving and thinking is necessary. Systems methodology is about methods supported by system thinking, which allow us to understand the problematic situation and design solutions that solve, resolve or dissolve the problem. At the same time, Systems methodology is more than processes and tools; it incorporates people, organizations and techniques in solving complex problems in the service of humanity.
Technology, Social Projects and Education
Rubio, Julio; Gleason, Miriam (Mexico)
ABSTRACT:
This document presents four experiential learning projects that offer solution to real problems in different communities of Mexico City, taking advantage of technology. The projects were developed by university students, guided and supervised by professors. These were done as a learning strategy where 21st century skills are developed and offer social benefits.
The Information Systems Undergraduate Students’ Perception about the Brazilian Higher Education Instiutions through ENADE
Silva, Cristiano Moreira da; Rioga, Danielle do Carmo Pimenta; Baracho, Renata Maria Abrantes; Cunha, Izabella Bauer de Assis (Brazil)
ABSTRACT:
Through the rapid technological evolution, information has become an important input for the competitiveness, resulting in a course degree in Information Systems. To evaluate how these professionals are finishing college and acting in the labor market, the Brazilian government created an important systematic evaluation called Enade. It evaluates the development of the Higher Education courses. In the case of this paper, it is focused on the Information Systems course evaluations applied periodically to the students, through a test using objective and discursive questions, a socioeconomic evaluation and perceptions about the institution and the course itself. So, the present study intends to highlight: What is the perception of the Brazilian Information Systems undergraduate students about the Higher Education Institutions, based on the answers collected from Enade? The research was classified as descriptive, with predominant quantitative characteristics, where the data of the students who took the exam in 2014 were collected. As a result, there were obtained evidences that the fact that the institution is public or private did not influence on the results of the exam. However, it was possible to verify, that the students are satisfied with the institution. Although, the only indicator that got a lower level was the one that intends to bring the student closer to the market during the course.
To Learn Through Learning Design – New Ways of Learning Playing with Learning Design
Buus, Lillian; Frydendahl, Jette Aabo; Jensen, Thomas Würtz; Jensen, Thue Fast; Lillelund, Kirstine; Falbe-Hansen, Mette (Denmark)
ABSTRACT:
This article is based on a joint research process combining three case-studies from three different domains; 1) health, 2) management and 3) continuing education. The cases present various ways in which teachers’ design processes are scaffolded, when technology is integrated into their teaching practices through their playing with learning design processes. An interesting perspective is the factors that influence creativity and scaffolding, which are investigated in this article: e.g., will there be room for development and opportunity for the testing and evaluation of the digital learning design created? Furthermore, it is relevant to investigate if playing with learning design contributes to a change in the teachers' ways of thinking when their teaching practices are redesigned in a digital context?
Based on the three cases, the article describes how the developers, who are teachers, are scaffolded by learning designs, in the development of learning objects. These learning objects (learning assets) are brought into a holistic learning design [1], which is tested in their daily practice. The empirical data consists of interviews and observations.
The focus is on the teachers' learning during the design processes and the factors that have had the greatest importance in scaffolding their design processes.
Using Concept Mapping through Problem-Based Learning to Enhance Lifelong Knowledge of Pronunciation in Risk Factors for Cardiovascular Diseases: Case University of Algiers
Drareni, Nasser (Algeria)
ABSTRACT:
The Data-Information-Knowledge-Wisdom KIDW knowledge of pronunciation system through concept mapping and problem-based learning can help learners to construct their own cognitive processes and open paths for learning of more complex contents related to risk factors for cardiovascular in the future. However, using DIKW knowledge of pronunciation system through concept mapping and problem-based learning can also enhance learners their different skills such as acquire pronunciation knowledge skills, solving problems skills and self-directed learning. The aim of this study is to evaluate how this model could play a fundamental role in the lifelong knowledge of pronunciation, the development and understanding of pedagogical approaches for medical education in risk factors for cardiovascular. According to qualitative analysis, majority of learners accepted using DIKW knowledge system as a helpful system for learning pronunciation knowledge related to risk factors for cardiovascular diseases. For learners is a flourishing approach to learning that is extremely useful in promoting critical and analytical thinking, and in addressing the rapid technological changes to learning knowledge of pronunciation skills and can also contributes to the ability to pronounce, read, spell and has positive effects on pronouncing and spelling. Learners in the KIDW knowledge system group one appeared to be more proficient in the use, development and organization of relevant data-information-knowledge-wisdom, do attain new concepts in constructing knowledge and moving toward better conclusions and pronunciation knowledge. The group one was significantly more satisfied with the decision-making process using the KIDW knowledge system. In sum, the KIDW knowledge of pronunciation system through concept mapping and problem-based learning process can enhance learners their problem solving and higher-order thinking skills. However, learners indicated a positive attitude to it, and perceived it as a knowledge system for lifelong learning knowledge of pronunciation skills related to risk factors for cardiovascular diseases using both of tools concept mapping and problem-based learning.
Using the Neural Model of the Person's Semantic Space to Reveal the Occurred with Him Events
Gorbunov, Ivan; Pershin, Ilya; Zainutdinov, Marat; Koval, Vera (Russian Federation)
ABSTRACT:
In this paper we present the data of an experimental study on semantic space, which is based on models of neural networks. The neural network models implemented in the experiment use the evoked potentials of the human brain as the basis of their work. In experiment we showed two movies for 44 subjects. The first 22 subjects, we showed the one series, and the rest of the 22 other series. We trained mathematical models of neural networks, its semantic distances between concepts from films, for all subjects. Trained mathematical models of semantic spaces in two groups of subjects reliably differed among themselves.
Virtual Reality and Games - Facilitating Successful Aging
Preuss, Fabian; Tsoupikova, Daria (United States)
ABSTRACT:
Can the new trends in computer games and virtual environments rescue the physical deterioration of the aging population? This paper outlines the cross-disciplinary research on the intersections of healthcare, design and advanced technologies to review the background, development and applications of serious games and virtual reality used in the context of creating solutions for aging and related problems. It examines the case studies of virtual reality technologies designed for home-based rehabilitation and physical activity. An interdisciplinary group composed of a physiologist, researching the current trends in declining health in the aging American population, and a virtual reality designer developing virtual environments for rehabilitation programs have joined together in this article targeting the ongoing and upcoming concerns regarding our aging population. This paper discusses the variety and quality of applications in healthcare and academic research to identify the progresses and contexts that help with successful aging. It aims to raise awareness that despite a fascinating technological advancement and the vibrancy of current contemporary technologies employed in healthcare internationally, there is a paucity of research on how the advanced technologies can help applying preventive measures related to successful aging.
Was the 2017 Crash of the Crypto-Currency Market Predictable?
Alfieri, Elise; Burlacu, Radu; Enjolras, Geoffroy (France)
ABSTRACT:
The cyber-space of crypto-currency market is a main issue in terms of security and stability. The novelty and the high volatility of crypto-currencies question their speculative nature. Recently, the crypto-currency price exponentially increased and reached an important burst in the end of 2017. The objective of this article is to detect and test the prediction of this crypto-currency market crash using the Log-Periodic Power Law model (LPPL). We consider 2 main crypto-currencies, Bitcoin and Ether. We find that the LPPL model allows to estimate the date of the crash in the crypto-currency market depending on the window sensitivity.
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