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This paper examines the current state and evolution of Computer Science (CS) and Information Systems (IS) research communities for the period of 2008 to 2019 by analysing Web of Science (WoS) core collection records. In order to compare and examine research outputs, the study period was divided into two time-periods. The first period included articles published between 2008 and 2013 and the second period included articles published between 2014 and 2019. Several analyses are presented in the scope of scientometrics regarding the (a) countries (b) historical occurrence-time (c) institutions (d) author collaboration (e) study topics-keywords (f) journals. This paper provides meta-analysis in different areas. We believe that our analysis results will shed a light for each area as well as interaction and intersection between both areas. As IS discipline and researchers we need to understand these intersections and interactions as well as understanding current trends in both disciplines. [ABSTRACT FROM AUTHOR]

The paper is devoted to the topic of introducing practically oriented thesis writing in the Department of Computer and Systems Sciences of Stockholm University. The paper considers both legal and practical aspects of introducing practically oriented thesis. The material is based partly on the literature study, and partly on the experience of supervising practically oriented BS and MS thesis in the department. The research presented in this paper is of the Action Research type. The paper introduces a rough classification of practically oriented thesis, and discusses problems that need to be solved, such as proper disposition, grading, and method-related courses. [ABSTRACT FROM AUTHOR]

Optical Character Recognition is still an open problem in computer science. This paper explores segmentation of connected (touching/overlapping) handwritten characters through implicit segmentation and explicit segmentation. Explicit segmentation is achieved through rules based on background thinning and analyzing the contour hierarchy. Implicit segmentation is achieved through generating a dataset of connected characters and training a CNN. This research was inspired by the need to recognize math documents containing algebraic equations. Recognition of 72 characters (alphanumeric and math symbols) are achieved through the proposed methods. The scope of the implemented OCR is limited to maximum of two connected characters. [ABSTRACT FROM AUTHOR]

The article offers information on the Interfaces and Human Computer Interaction (IHCI) 2014 conference organised by the International Association for Development of the Information Society on July 15-19, 2014. Topics discussed include the interaction between human and computer, computer vision and image processing, and computer science. Also mentioned are issues on affective interfaces, technology design, and usability.

TensorFlow is an open source deep learning framework developed at Google that enables developers to conceive a wide variety of applications based on artificial intelligence principles. In this paper, we employ such software resources towards the development of a computer vision system for people with visual impairments. We propose a wearable assistive technology solution consisting of a single board computer connected to a camera mounted on the user's glasses. A TensorFlow based software runs on the board in order to real time classify the images captured by the camera, while a text to speech process vocalizes the still's content for the blind person. In this way, the system provides an audio description of the objects in the user's surrounding environment and it may help these people to better detect the things around them. [ABSTRACT FROM AUTHOR]

The paper focuses on means of applying simplification and equivalence algorithms in solving pattern matching problems. This solution is very useful in designing expert type systems, bringing important advantages in software design. We apply these principles in designing an expert system for plant therapy and we discuss general application principles, revealing their advantages in software design. [ABSTRACT FROM AUTHOR]

A new computing paradigm termed Social Computing has gained rapid growth during recent past. Social Computing has introduced a myriad of web and mobile based applications. These applications are enhancing the traditional brick and mortar businesses as well have caused emergence of new web and mobile based business models known as sharing economy, peer economy, market economy, crowd companies, or collaborative consumption. These new business models possess advanced business processes built entirely upon Social Computing applications. To define Social Computing and understand the dynamic behaviour of Social Computing characteristics a generic model for Social Computing was developed and in this paper we extend that model to investigate the impact of Social Computing on business outcomes. We applied qualitative inductive content analysis coupled with causal chains to current and well researched business scenarios published in established business magazines. This approach has helped root out reliable inferences about the causes of the phenomenon and extract an emerging multistage causal model. This multistage causality will give a deeper meaning of the causal inference between Social Computing and these beneficial business outcomes. This understanding will help businesses to take a more methodical approach to effectively implement social computing. [ABSTRACT FROM AUTHOR]

An introduction is presented discussing topics related to computer science and information systems as well as telecommunication.

In the recent years, the Building Information Modelling (BIM) has become one of the hottest research area in computer science. It attracts many researchers from huge various research domains. Not only the researchers from computer science but also researchers from environmental health, archeology and cultural heritage started working in BIM and its integration with Wireless Sensor Networks (WSN). In this paper, we focus on the integration of BIM and WSN. We tackle one of the major challenges of this integration: how to manage sensor streams by using a digital model of the environment and how to integrate sensor data with the environmental data. Even there are few studies that manage multi sensor data streaming, these approaches are often fitted to a single application and mostly they are independent from the building model. To overcome this problem, we propose a novel real-time environmental monitoring system based on the BIM principles. In this study, we present a multi-application monitoring system architecture. As a testbed environment, the university campus is preferred and for the prototype chosen offices and classrooms are equipped with sensor devices. Real data are enriched with the simulated data to get a large database. The 3D digital model introduces the numerical model of the building and a sensor integration is achieved on the given digital model. [ABSTRACT FROM AUTHOR]

We aim to improve the teaching of the principles of optimization, including computational intelligence (CI), to a mixed audience of business and computer science students. Our students do not always have sufficient programming or mathematics experience and may be put off by the expected difficulty of the course. In this context we are testing the potential of games in teaching. We deployed a game prototype (design probe) and found out that the prototype led to increased student motivation, intuitive understanding of the principles of optimization, and strong interaction in a team. Ultimately, with the future work we sketch out, this novel approach could improve the learning and understanding of optimization algorithms and CI in general, contributing to the future of Explainable AI (XAI). [ABSTRACT FROM AUTHOR]

Women participation in computer science and related areas in Brazil is fewer than men, considering quantitative researches on both labor market and academic space. Brazilian Society of Computing supports an initiative to discuss the disparities in this issue in Brazil: Women in Information Technology - WIT. We analyze 81 short papers published on 10th, 11th, and 12tth editions of the event to highlight information on interests, practices, and origins of these papers. We base our analysis on Science, Technology, and Society (STS) and Feminist studies and we point out to plural and inclusive computing that open participation of all people in all spheres of society considering the social, cultural and historical aspects of society in the 21st century. [ABSTRACT FROM AUTHOR]

Today's generation of students belong to the generation born in the age of a net. Psychologists, educators and IT specialists try to indicate characteristics of learning of the net generation. Researchers observed the occurrence of certain trends in development of net generation - a new generation of students requires a new approach to learning. New trends usually manifest in the approach to learning, "centered on the student." In our opinion, we need new approaches that will take into account new technological environment of learning and explain it in a contemporary way. The main aim of this paper is to set up new approaches to learning as learning for the digital age, learning for the connected society in which the teacher often must decide "how" to teach. The authors analyze three teaching methods in computer science teaching and reveal the best approaches to learning in a modern environment. [ABSTRACT FROM AUTHOR]

The paper shares the results of the process of forming a cross-disciplinary collaborative team and using a user-centered design framework to co-create a self-directed, self-paced, personalized, flexible learning environment as an alternative approach to preparing PK-8 preservice teachers to teach computational thinking. It is part of a larger project that attempts to respond to the need to create a computer science curriculum within a credentialing learning environment. [ABSTRACT FROM AUTHOR]

Computer competence was identified as one of eight key competences essential for all individuals in a knowledge-based society including lifelong learning. Students prefer different approaches in education, so the personalization of learning materials is becoming very important for efficient learning. In the first part of the paper, we describe the meaning of DigComp as a framework for computer competence and its areas. We explain the framework model and give some examples of its implementations. In the second part of the paper, we presented and explained the empirical research in which university students assessed their levels of computer competence areas. The case study shows that engineering students have most of the required computer and modeling skills (like usage of UML), but lack a clear problem presentation and client communication. Business students presented the problem and the solution with great details and precision using description (MS Word/OO Writer text), but lack the modeling skills and some of the computer skills. [ABSTRACT FROM AUTHOR]

This paper presents an innovative course conceived at the Medizinische Fakultät of the Universität Duisburg-Essen on robotics and computer science. Highly motivated students have participated in this course and, as a first consequence, a research has been initiated in the field of Turing machines applied to optimization of triage systems used for disasters. Additionally, a prototype of a universal Turing machine has been built using the Lego Mindstorms EV3 robotics system. [ABSTRACT FROM AUTHOR]

Automatic image quality assessment (IQA) plays a vital role in various image and video processing applications. The most successful approach is based on the concept of structural similarity. In this paper, a high-performance full reference IQA model based on this approach is proposed that utilizes joint feature similarity and opponent weighted pooling. Three types of features including gradient magnitude, high-pass filtered component, and luminance mean are used altogether to establish a joint similarity map, which can account for most of the distortions encountered in real applications. By considering the shortcomings of the commonly used weighted pooling, a novel opponent weighting function is devised to assign larger weights to the distorted structures, smaller weights to those distortion-free structures. The experimental results on three image databases show that the proposed index provides comparable or better predictions than the competing state-of-the-art IQA metrics in the literature, it is effective and reliable. [ABSTRACT FROM AUTHOR]

Human - computer interaction is a computers science research area that has a great impact on humans and their social interaction with other humans and machines. One aspect of human - computer interaction is the newly evolved discipline of human - robot interaction. Part of human - robot interaction are, so called, social robots and their primary task is to maintain successful interaction with humans. This paper discusses the challenges for creating such robots, especially for creating more human-like empathic robots. This research uses human sound data as source for perceiving human emotions. A biologically driven custom algorithm is used in this research for emotion evaluation classification. The proposed approach is analyzed and evaluated using experimental results done form real data. The influence of the emotion aware robots on humans is explained in more detail. Also, a discussion about the importance of sharing life with these emotion aware robots today and in the future is argued. [ABSTRACT FROM AUTHOR]

The problem of development of algorithmic competence of students - future Computer Science teachers as a component of information competence is investigated. The aim of the study is to identify the conditions for effective algorithmization and programming learning, involving a modular representation of the content, blended learning, allocated in accordance with the B. Bloom's taxonomy classes of problems in Computer Science and Methods of its Teaching and the use of electronic learning resources. This paper specifies the concept of algorithmic competence of university students - students' readiness to design algorithms and programs, their use in professional activities in the process of Computer Science teaching, electronic learning resources (ELR) design, self-education in the field of Computer Science. Classes of problems for algorithmic competence development in accordance with B. Bloom's taxonomy (knowledge, comprehension, application, analysis, synthesis and evaluation) are identified. Classes of problems correspond to ELR of a certain structure and content. The efficiency of ELR use in students' algorithmic competence development is statistically confirmed. [ABSTRACT FROM AUTHOR]

This paper presents a system for self-plagiarism detection, SPLAT. The system uses a WebL web spider that crawls through the web sites of the top fifty Computer Science departments, downloading research papers and grouping them by author. Next a text -comparison algorithm is used to search for instances of textual reuse. Instances of potential selfplagiarism for each author are reported in an HTML document so that they can be considered in more detail, in order to determine if they are truly self-plagiarized papers. The system discovered a number of pairs of papers of questionable originality. [ABSTRACT FROM AUTHOR]

Reorderable matrices are the basis of heatmaps and other tabular displays in which row and column permutations are possible. Matrix reordering algorithms try to provide a permuted version of these matrices, such that hidden patterns become visible for users. However, most of them fail on revealing Circumplex pattern, due to high execution time or to low quality of output matrix. In order to overcome this difficulty, we present a matrix reordering method (Circumplex Sort), whose goal is to permute a matrix in order to reveal a Circumplex pattern. In a first phase, our method reorders input matrix rows according to the index-weighted means of the values of each column. After that, the method creates and concatenates two stacks of rows based on a same initial row; for each row obtained according to the row order of the first phase, the method pushes this row at the stack whose top is most similar to it. Circumplex Sort runs the same two phases for columns. Our experiments with synthetic matrices revealed that our approach produces high-quality results (in terms of evaluation functions and runtime) when this pattern is hidden in data matrix. Besides, we present a real world dataset that exemplifies the use of Circumplex Sort for revealing Circumplex pattern. [ABSTRACT FROM AUTHOR]

This article addresses gender in IT courses in the UNLP, taking into consideration multiple contexts: a) The proportion of gender in STEM courses in the UNLP and specifically IT courses (these numbers are compared with a previous analysis from 2009). b) Gender statistics in computer science courses in Argentina. c) The international gender context globally and in the US in particular. The paper also describes some of the actions carried out to promote the study of IT and perspective of young students about their future job prospects. Due to the fact that the women studying IT degrees in UNLP largely exceed by 60% the figures of national statistics these action are referred to as good practices for reducing gender gap. [ABSTRACT FROM AUTHOR]

In this paper we propose a complement to the Rep-Index reputation metric for researchers, using data mining techniques specific for selecting a subset of the most relevant elements to Rep-Index. We redid the experiments with the original author's data and found the best algorithm. At the end we propose the new weights for classification of researchers with correct classification rate higher than the original Rep-Index. For Computer Science the best selection attribute is InfoGain. The Spearman's correlation is 0.5520 against 0.3932 for Rep-Index with original weights. The results show that Rep-Index is adaptable, flexible and the approach proposal complements the original index to offer better classification for researchers. [ABSTRACT FROM AUTHOR]

Trading in an e-marketplace has become an essential aspect of the daily lives of many people. Coalitions, which allow traders to form teams, can sometimes accomplish things more efficiently than individuals. As group trading has become increasingly popular in the e-market, concepts and algorithms for coalition formation have drawn much attention from researchers in Multi-Agent Systems. However, most of the coalition schemes fail to check the stability of coalitions, or reduce the computational complexity of forming stable coalitions. The core has become a popular solution concept in economic applications for researchers in Computer Science, because it provides a way to find stable sets. However certain problems of the core hinder researchers from applying it to a real world market. For instance, the core is difficult to use in a large coalition because of its high computational complexity. Developing effective business models for e-market can be a real challenge, because incentive compatibility, distributed computing, and less computational complexity have to be considered at the same time. Numerous specialists are still endeavouring to do it. This paper proposes a new extended core model, which involves bundle selling of composite services, offering amount discount in group buying in the e-marketplace. Several service providers are involved in the transactions of bundle selling, while, on the other hand, many buyers form coalitions for the amount discount in the model. Unlike the traditional core, cores are combined together into a big core in the extended core model. An illustration of how the works is presented in the scenario of a travel agent. The outcome of the scenario is evaluated with Pareto efficiency, and that shows the high potential of the model. [ABSTRACT FROM AUTHOR]

The paper describes a web application developed in the Department of Computer Science of the Universidad Politécnica de Madrid. The application is modular and is composed of three modules. The functionalities include the staff management operations, the templates and document management and the automatic notification of official and unofficial meetings. The database gathers the information on all kinds of staff, documents, commissions and fellowships and includes a historical document data base. The graphics user interface is easy to use, and user authentication is included for security purposes. [ABSTRACT FROM AUTHOR]

A great number of Internet users are contributing their own software and data to the Internet community. They are potentially useful but practically not so useful because they are unorganized and unclassified, often continuously updated, poorly documented. This leads to the difficulty in finding desired software or data, in learning the usage, or in converting data formats. In this paper, a framework for collaborative software and data reuse is presented, especially for "functional" software components that generate data by processing input data. By combining such software components, a variety of tasks can be realized. Users weakly collaborate by sharing the history graph that is the accumulation of the records of data processing (component application) they have done. Searching through and referring to the history graph as abundant examples, one can find desired data or component and can learn typical usages. [ABSTRACT FROM AUTHOR]

Technology has been a chief influence on enterprise architecture development in the past (Melling, 1994) and can be a predictor for the future. Generation Z workers will be punching in with higher technological competencies accompanied with a computing culture that may have or should have a new influence on enterprise architectures. If enterprise architecture is to provide an infrastructure to achieve business goals through business processes and technology, it seems logical to assert that enterprise architecture planning should consider the incoming computing demographics of future generations of the workforce. This paper will: examine demographics of U.S. workforce computing literacy over the past 25 years - for both current and emerging generations - juxtaposed with the evolution of enterprise architectures; and identify a phenomenon where the increasing competencies of youth, particularly in the area of social computing, may dictate the need to reshape the paradigm of enterprise architecture planning. [ABSTRACT FROM AUTHOR]

The authors have been actively engaged in E-learning starting in 1996, at the College of Staten Island, CUNY, a public university in New York City, New York, U.S.A. and Shanghai TV University, an open university in Shanghai, P.R. of China. We have reported on this work in [Chi, Klibaner, 1999, 2001, 2003]. This collaboration has been expanded to include a bilingual course offered simultaneously at both institutions. Of the many technical issues involved in such a simultaneous e-learning course, the time difference is the only one which remains immutable. This paper describes our experience with a hybrid course in Database Theory offered bilingually in Chinese and English and a Windows based terminal software laboratory. [ABSTRACT FROM AUTHOR]

While the digital age is based on computing, computing disciplines remain conservative in their curricula and delivery methods. Computer science and information systems curricula throughout the world are a legacy of the scientific and business computing needs that gave rise to the respective disciplines, and arguably pay insufficient heed to skills and knowledge needed to support the digital entertainment industry. Moreover, there has been a relatively low penetration of experiential or problem based learning approaches, despite the professional practice nature of the disciplines. This paper describes the rationale, objectives, pedagogy and assessment of a novel course designed to introduce students to the technologies and culture of the digital entertainment industry. The range of existing on-line resources facilitates problem based learning and helps accommodate different learning styles. As the digital age increases the richness of resources in all disciplines, problem based learning will become an increasingly cost-effective flexible paradigm. [ABSTRACT FROM AUTHOR]

Teaching emerging technologies with a student-centered learning approach in Computer Science Department is generally perceived as a challenging task. This is mainly due to the fact that students usually lack the knowledge for getting involved in dialogues about the course subjects. This paper introduces the pedagogical approach of using incremental lab projects for promoting student-centered learning in teaching Web Technologies and Java Programming II. In this paper, the concepts of web applications, JavaServer Faces, and NetBeans Integrated Development Environment (IDE) are introduced. Then the approach of using incremental JSF projects is described. In the future, the assessment for the effectiveness of using incremental projects in teaching will be reported based on hypothesis tests with the t statistic. [ABSTRACT FROM AUTHOR]

Digital transformation of health care services is addressed world-wide in order to more efficiently meet the patients’ information and health care needs. However, little is known about the people working with this transformation, where two traditionally gendered fields meet; health care and IT. While work with digitalization generally is dominated by men, digitalization of health care services involves a large number of women. This case study explores the career trajectories of women working with the digital transformation of eHealth services. Who are the women in this eHealth project, and how did they come to working with this digital transformation? The analysis shows different types of trajectories that brought the women into eHealth transformations: The first illustrating women who were pushed into working with eHealth by their job descriptions, the second showing women using eHealth as an escape route from something else, and the last trajectory showing how women stumbled across eHealth and decided to stay on. This has implications for the educational system, and points to the need for being able to study computer science later in life. It also calls for a better understanding of what drives women in transformation processes. [ABSTRACT FROM AUTHOR]

Small, Micro and Medium Scale Enterprises (SMMEs) are slow to adopt Information and Communication Technologies (ICT) to assist in day to day business operations. In South Africa, this is a major concern for business operating in rural areas because of great influence SMMEs have in the growth of economy and greater contribution to overall gross domestic product (GDP). This research focused on unlocking the potential of Information and Communication Technologies on (SMMEs) towards improving their operations and survival in today's dynamic modern business environment. In addition, the impact on growth and success of SMMEs through implementation of ICT was another area of concern. 138 SMMES were surveyed in the rural municipal area of Thulamela in Vhembe District, Limpopo. Data was collected from the SMMEs in Sibasa, Thohoyandou, Shayandima and Tshififi towns. Results show that SMMEs' major setbacks include lack of infrastructure, inadequate resources and limited access to finance for funding the implementation and maintenance of information systems in their operations. Inadequate technological infrastructure, transport and the basic electricity which SMMEs deemed to be important for the implementation of sound ICT utilization were identified as challenges. Despite the challenges, most SMMEs indicated that they do make use of ICT tools in their day to day operations and have a greater role in the long term operations of a business against the changing technological environment. [ABSTRACT FROM AUTHOR]