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This study conducts a comprehensive bibliometric analysis of highly cited papers in geosciences from 2013 to 2023, examining the temporal distribution of publications, the top 20 most cited papers, categorization by Web of Science categories (WC), journal distribution, and the relationship between open access and citation frequency. The analysis reveals significant growth in geoscientific research, particularly from 2016 onwards. Highly cited papers cover diverse and multidisciplinary topics, with leading journals identified as key dissemination platforms. The study also highlights the positive impact of open access on citation rates, emphasizing the importance of accessibility in enhancing research visibility and influence. These findings provide strategic guidance for researchers and institutions aiming to maximize the impact of their scientific contributions. [ABSTRACT FROM AUTHOR]

Understanding the intellectual structure of geosciences is crucial for identifying emerging topics, which can guide future research and funding strategies. This study employs Latent Dirichlet Allocation (LDA) topic modeling and co-word network analysis to explore the intellectual landscape of highly cited geoscientific papers. Through empirical analysis, the study identifies 15 research areas, including climate change, geological processes, environmental impacts, and advancements in data analysis and remote sensing. These findings highlight the prominent role of big data analysis and machine learning methods across various geoscientific domains. Additionally, a notable gap has been identified in the integration of these computational methods with research on organic chemistry and formation processes, suggesting a potential direction for future exploration and innovation. [ABSTRACT FROM AUTHOR]

Extended reality (XR) enables both new opportunities but also introduces new barriers for inclusion in society. Furthermore, XR is less researched than web, desktop and mobile applications. This position paper presents the concept of an XR platform for inclusion, with the purpose to make people on the autism spectrum and with other disabilities, more independent of help from others in everyday life situations. Based on previous research, our position is that, through current and future XR technologies combined with civic and artificial intelligence, it is possible to create individually personalised support for this purpose, grounded in practice to ensure validation. [ABSTRACT FROM AUTHOR]

In recent years, the research pertaining to speech recognition technology in the Kazakh language has gained significant importance. This is due to the increasing demand for natural language processing applications in the region where Kazakh is predominantly spoken. Thus, there exists an urgent requirement for precise and dependable speech recognition systems. The research study examines the application of sophisticated deep learning methodologies, such as Natural Language Processing (NLP) and Hidden Markov Model (HMM), in facilitating speech recognition for the Kazakh language. Additionally, the investigation delves into how various techniques, including data preprocessing, acoustic modeling, and language modeling, can aid in devising effective speech recognition systems. The article deliberates on the feasible uses of speech recognition technology in the geographic area where Kazakh language is spoken and outlines its future research prospects. The investigation underscores the significance of persistent inquiry in this realm to confront distinctive obstacles encountered in creating speech recognition systems for languages with restricted resources. [ABSTRACT FROM AUTHOR]

This paper reflects the research to design and application the complex method to evaluate the quality of the paper written in the IMRaD format. As a field we choose Russian segment of the financial technologies area since we had interest to use multilingual language model. The method covers paper's relevance to the chosen field and internal topics, the actuality, relation between parts, text borrowing, and experiment part. The clustering and classifying algorithms, and language machine learning model were used. The experimental part based on corpus of Russian papers shows the deviation of method's recommendations from expert opinion not more than 20%. The results may be interested not only reviewers but student as authors of futures papers to avoid common mistakes during paper's writing. [ABSTRACT FROM AUTHOR]

With the development of computer technology, automatic test paper generation systems have gradually become an effective tool for detecting and maintaining national machine security and protecting the rights and interests of workers. This article achieved multi-level oral scores for different types of questions through online scoring using artificial neural networks in recent years. Based on its specific situation and evaluation index requirements, an analysis module that is reasonable, efficient, and in line with the hierarchical structure and module requirements of national conditions has been designed to complete the research on automatic test paper generation technology, in order to help better manage and allocate human resources and improve production efficiency. Afterwards, this article conducted functional testing on the technical module. The test results showed that the scalability of the system was over 82%. [ABSTRACT FROM AUTHOR]

In the wake of the IT revolution of recent decades, Polish companies have experienced changes, such as the obligation to report financials in purely electronic form. This shift creates benefits but is also a source of challenges. The authors' inspiration for this research stems from the recognition of a clear research gap in the literature relating to the electronic reporting of micro and small companies. The article aims to verify how Poland's smallest companies covered by reporting obligations cope with the compulsory compilation, signing and publication of financial statements solely by electronic means. The study was qualitative in nature, followed a case study methodology, and concerned two Polish micro-companies. The results show that the entities analyzed essentially do cope with e-reporting. Certain attributes of these reports - - such as timeliness or completeness, are questionable, however. The results contribute to the understanding of the financial reporting practice by micro companies in Poland. They can indicate directions for changes in the actions taken by those involved in corporate reporting. Cognizance of this issue can also provide the regulator with directions for regulatory changes. [ABSTRACT FROM AUTHOR]

The article describes an approach to build a search index for fuzzy objects recognition in scientific and technical papers. A fuzzy object is explained as an entity described by some physical parameters. A physical parameter consists of two parts: a value, represented in various forms of digits, and a physical unit, represented as text with some digits. The approach presented in the article allows users to search not by ordinary substrings, but by physical parameters with range, less than or greater than operators. The current realisation of the approach is a web service that has functionality to perform all stages for extraction of physical parameters of a fuzzy object. These stages are the extraction of sentences, the extraction of physical parameters and the normalisation of physical parameters values. The web service can be exploited in the synchronous and asynchronous modes. The synchronous mode helps to troubleshoot the software. The asynchronous mode is designed to process papers using queues in the distributed computer systems. The current work is aimed to develop a search engine which will address the challenge of structuring information of a continuously growing number of scientific and technical papers. The search index will help to perform robust navigation among a huge number of documents for scientific workers and engineers. [ABSTRACT FROM AUTHOR]

In order to solve the problem of smart grid data asset registration, this paper proposes a smart grid data asset registration system based on blockchain. The system uses the decentralization and immutable characteristics of blockchain to achieve the digital management of devices and assets in the smart grid, and uses smart contracts to encrypt and authenticate the data to ensure that the data is real and reliable. At the same time, the system can incorporate data asset registration into the scope of smart grid management, forming a complete data asset management system. In this paper, the blockchain technology is briefly introduced, and then the framework of smart grid data asset registration system based on blockchain is proposed, and its feasibility is analyzed. Finally, the paper introduces the application of smart grid data asset registration system based on blockchain technology in a provincial power grid company. [ABSTRACT FROM AUTHOR]

The objective of this paper is to show the added value of using tools such as eyetracking, galvanic skin response, facial coding and others in the field of market research and user experience research. We will present 3 case studies in which these tools have been used successfully. We will give an overview of the background, the objectives, methods and results and how the neuro-tools provided additional insights into consumer behaviour, which would otherwise not have been possible. In this paper we will specifically show cases from packaging design, advertising research and user experience research thus only covering a small part of possible application areas. [ABSTRACT FROM AUTHOR]

Standardization makes its contributions to many aspects of our lives, although often that contribution is unnoticed. For example, management standards, such as the ISO 9000 family, establish a common ground perspective that enlarges companies' markets and boosts its international reaching, technological development, and innovation while supporting continuous quality improvement in products and services both at a national and international level. Notwithstanding the recognized relevance of some management standards, especially the ones that have an associated certification system to support its knowledge (e.g., ISO 9000 family), little is known about the impact of the standards (e.g., ISO 21500 family) adoption in increasing organizations' performance regarding, for instance, quality, safety, efficiency, or interoperability. This hinders the standards' dissemination and potential use and unnecessarily delays its revision and further development. To help fill this gap, this position paper proposes a research project that includes the development of a model and an observatory focusing on the adoption of management standards. The expected contributions are: 1) at a theoretical level, a new conceptual model for the explanation and assessment of the adoption of management standards and related impacts; 2) at a practical level, a new information system (observatory) which is expected to be a tool for understanding the adoption of standards, as well as for monitoring and publicizing the results obtained from standardization practices. [ABSTRACT FROM AUTHOR]

Over and above technical skills, software development graduates need to also poses team-based skills, such as, leadership, oral communication and project management by the time they graduate from tertiary institutions. In order to fulfil this requirement, institutions introduced a project-based module, generally referred to as capstone, to be undertaken by students on the their final year. The essence of this module, amongst other things, is to expose students to the real-world professional experience through partnership with industry. Much research has been conducted on students software projects, but very little investigation has gone into understanding how students evaluate the success of their projects. In is in this light that this study was conducted. A systematic literature review (SLR) was performed on empirical studies published between 2000 and 2022, to establish criteria used by students in evaluating software project success. The investigation led to the discovery of one (1) paper, which identified three most important success criteria used by students. However, this study identified some short-comings (eg students had to pretend to be employed graduates when evaluating the imaginary projects) with the approach used by the abovementioned research paper in determining the students' success criteria. Beside the fact that there is only one study that was found that addresses the study's phenomenon, the identified short-comings on the paper indicate that there is a need for empirical research studies on this matter. [ABSTRACT FROM AUTHOR]

Insert here your abstract text. [ABSTRACT FROM AUTHOR]

This is a conceptual article that aims to propose the concept of sensory and emotional smart cultural tourism, whose main idea is to promote the use of digital technologies in an approach that makes them transparent in the tourist experience and that this experience is focused on the sensory and emotional experience, capable of triggering memorable sensory states, that is, unforgettable experiences. The proposal of sensory and emotional smart cultural tourism was conceived through an analytical-reflective literature review and proposes that the empirical approaches to be implemented from the concept take into account the co-design approach. Hence the essential triad (3P) - People, Places, Patrimony. The proposal presented by sensory and emotional smart cultural tourism aims to be a contribution to the process of innovation in the area of smart tourism. [ABSTRACT FROM AUTHOR]

This paper discusses the Digital Product Passport (DPP) as a key tool for achieving a circular economy. An architecture of the DPP is presented built upon the principles of data spaces and W3C Decentralized Identifiers (DIDs). By leveraging data spaces, the DPP enables secure and controlled data exchange among stakeholders, fostering transparency, traceability, and collaboration throughout the product's lifecycle. The use of decentralized identifiers ensures the uniqueness and verifiability of product-related information, facilitating seamless access and sharing of data. The DPP architecture offers a promising framework for realizing the circular economy by promoting resource efficiency, sustainable practices, and informed decision-making. [ABSTRACT FROM AUTHOR]

The oil impregnated paper capacitance graded transformer bushings serves as the external connection device of the transformer to support and connect the insulation, and its insulation state is related to the safe and stable operation of substation equipment.In this paper, a simulation model of 110kV oil impregnated paper capacitance graded transformer bushings is constructed on the commercial finite element software platform based on the actual size of the bushing and the principle of equal capacitance and steps. The paper calculate the potential and radial electric field distribution of the bushing under the normal working voltage, and analyze the influence of the aluminum plate on the radial electric field distribution of the bushing, verifying the rationality of the design principle based on equal capacitance and steps. [ABSTRACT FROM AUTHOR]

In society, there is widespread and growing acceptance of the value of cooperation between industry and universities being collaborative Research and Development (R&D) domain and industrial policy the fuel of knowledge-based economies. In this paper, different domains of cooperation between the University and Industry as well as their generated benefits for each partner are identified. These benefits have been assigned to each domain of cooperation, showing a large number of benefits associated to collaborative R&D. Leading us to make a statement - collaborative R&D is the key cooperation domain for sustainable long-term university-industry partnerships. Suggestions are given about how to continue this research study. [ABSTRACT FROM AUTHOR]

The SIR Iber highlights the geographical location of Ibero-American universities by positioning them according to the indicators grouped into three main factors: research, innovation and social impact. The 2020 edition highlights the formation of three groups of countries according to the production capacity of higher education institutions. In group 1 we have: Brazil, Mexico, Chile, Argentina, and Colombia as Latin American countries that managed to publish more than 60,000 papers in the period 2014-2018. This paper analyzes and compares the indicators from the five (05) Latin American countries in group 1 of the SIR Iber 2020 referring to investment in I+S as a percentage of its Gross Domestic Product (PIB), the number of full-time equivalent researchers (Inv JCE), the production (%) of scientific works in the university education sector, to name a few. A conglomerate formed with the Normalized Impact (NI) of public and private IESs is presented, regarding the global average of citation, with the data published in the SIR IBER 2020 Report, and highlights that Chile has a normalized impact above the World average for both public and private IES publications. [ABSTRACT FROM AUTHOR]

COVID-19 is one of the most important topics these days, specifically on search engines and news. While fake news is easily shared, scientific papers are reliable sources where information can be extracted. With about 24,000 scientific publications on COVID-19 and related research on PubMed, automatic computer-assisted analysis is required. In this paper, we develop two methodologies to get insights on specific sub-topics of interest and latest research sub-topics. These rely on natural language processing and graph-based visualizations. We run these methodologies on two cases: the virus origin and the uses of existing drugs. [ABSTRACT FROM AUTHOR]

Abstract writing is a very important since it is the piece of formal writing which should attract the attention of the reader and make him/her read the rest of the paper. Thus, it must be clear, concise, coherent, and powerful enough to attract the reader and provide him/her with the key information about the content of a research paper. All university students have to write an abstract in English in their qualification papers. However, non-native students of English usually have difficulties in writing an abstract in English. For example, the Czech students lack formal writing skills in English since the skill of formal writing is not developed enough in their native language, i.e. Czech. Therefore, the aim of this article is to discuss the use of an off-line scaffolding tool, which can help students develop an abstract in English, as well as to demonstrate how this tool can be incorporated in the whole Course of Practical English taught at the Faculty of Informatics and Management of the University of Hradec Kralove in the Czech Republic. The application was developed for students as support to a face-to-face class instruction, which proved to be insufficient in teaching students how to write an abstract in English. The application reflects the structure and sentence functions of the abstract and provides students with a model abstract, as well as with additional formulations. Overall, the application was designed with the purpose to enhance student's skill of writing an abstract in English, as well as to lead students to successfully complete the task by making the application user-friendly - easy-to-use, accessible and transferrable as far as the knowledge is concerned. The application aims to enhance students' autonomous learning by tailoring the content to their specific needs and making it accessible anytime and from anywhere. [ABSTRACT FROM AUTHOR]

To generate a research overview of digital banking, we did a bibliometric analysis. In our bibliometric analysis, we identified 2475 papers about digital banking that were published in the previous 10 years (2013–2023) from 1492 different sources under the direction of 6777 academics. The bibliographic information was gathered using the Scopus database. The dataset was examined using the bibliometric R program Biblioshiny. The number of digital banking research publications published each year, the most relevant author, the most cited articles, thematic maps, and trending topics are all listed. A keyword analysis showed that "blockchain", "security", "digital banking", and "digital storage" appeared most often. The research results will be significant to scholars, researchers, and policymakers in banking, as the study showed the roadmap and pathways to scientifically understanding current and future research trends. [ABSTRACT FROM AUTHOR]

Industrial collaborative robots play an essential role in smart manufacturing because they improve productivity while also ensuring workplace safety. However, the development of prognostic and health management systems to ensure the reliability of these robots has been a major challenge due to the lack of fault data. This paper proposed a digital twin scheme based on the fusion of the robot kinematic and dynamic models' information down to the powertrains (i.e., the joints motor, and gear) along with the control algorithms and uncertainty accommodation based upon deep learning. The presented digital twin concept has the potential to propel simulation-based fault prediction. We also highlight and discuss challenges and opportunities around the development of the hybrid digital twin for condition monitoring of industrial collaborative robots. [ABSTRACT FROM AUTHOR]

Insert here your abstract text. [ABSTRACT FROM AUTHOR]

Renewable energy production throughout low-voltage grids has gradually increased in electrical distribution systems, therefore introducing small energy producers - prosumers. This paradigm challenges the traditional unidirectional energy distribution flow to include disperse power production from renewables. To understand how energy usage can be optimized in the dynamic electrical grid, it is important to understand the behavior of prosumers and their impact on the grid's operational procedures. The main focus of this study is to investigate how grid operators can obtain an automatic data-driven system for the low-voltage electrical grid management, by analyzing the available grid topology and time-series consumption data from a real-life test area. The aim is to argue for how different consumer profiles, clustering and prediction methods contribute to the grid-related operations. Ultimately, this work is intended for future research directions that can contribute to improving the trade-off between systematic and scalable data models and software computational challenges. [ABSTRACT FROM AUTHOR]

In a paper introduction presentation of scientific papers, the presenter needs to understand the contents of a paper, summarizes them by slides and explains them to the audiences, such as participants the paper introduction activity, and discuss the contents with participants. However, if the presenter does not have enough skills for reading the contents deeply or for creating understandable slides, participants are not able to get the importance of the paper precisely and do not have fruitful discussion. For such situation, participants give questions to understand the paper. Therefore, questions regarding to the contents from other participants implicitly suggest problems with the presenter's understanding of the paper and creating the slides. Therefore, it is valuable for the presenter to reflect on their skills that are used to prepare the paper introduction presentation based on the questions asked by other participants. This research proposes a reflection support environment for promoting the active and sufficient reflection using the questions asked by other participants. Our environment prepares an interface that records the activities involved in preparing the presentation, such as understanding papers and creating slides. Our environment also provides an interface with which the presenter can compare the recorded activities and the participants' questions. By comparing the questions with their understanding of papers and created slides, the presenter is encouraged to recognize the insufficient points of their reading and presentation methods. [ABSTRACT FROM AUTHOR]

Success management can bring valuable contributions to improve project results and stakeholders' relationships. However, the success management process must be explicitly integrated into project management approaches, guides and methodologies (such as PMBOK, PRINCE2 or PM2), which is not currently happening. The purpose of this position paper is to discuss the need and importance for this integration and to present a first proposal on how this can be operationalized. To support the position, the methodology of the European Union PM2 was used. The result of the integration demonstrates that it is possible to advance management and raise the level of project success. [ABSTRACT FROM AUTHOR]

This research paper presents an innovative approach to address the challenges associated with platitudinous paper certificates and electronic certificates. These challenges include issues such as preservation, management, verification inconvenience, poor reliability, and susceptibility to counterfeiting and tampering. The suggested approach involves an autonomous certificate system leveraging blockchain technology and smart contracts. Tailored for university students engaged in innovation and entrepreneurship competitions, this platform is intended to offer blockchain-based certification services. Within this system, various functions related to certificates, such as management, issuance, verification, and revocation, are executed through smart contracts. Structured data within these contracts stores information about signers, certificate templates, and certificate details. This structure simplifies the process of querying and validating certificates, all the while maintaining their security and authenticity. [ABSTRACT FROM AUTHOR]

With the latest development in information technology, smart campuses have become a topic that attracts attention in the world of education, especially in higher education. The smart campus has the potential to change the way of managing, accessing facil- ities, and teaching and learning process. The smart campus can collaborate various latest technologies such as edge computing, blockchain, deep learning, virtual reality, and other trend recent technologies. Therefore, this research is a guideline for developing an effective and efficient smart campus system with the latest information and communication technology. This paper explains smart campus technology, features, architecture that have been implemented in real life. Thirty-two papers will be analyzed using the Systematic Literature Review (SLR) method. Hopefully, this guideline can be a valuable reference for smart campus designers, researchers, and practitioners interested in developing innovative and efficient smart campus systems. [ABSTRACT FROM AUTHOR]

Considering the total number of citations as the sole indicator of a research paper’s success is not always correct. Furthermore, considering the total number of reads (downloads, views, and usage) is not always correct either. Therefore, this paper proposes a new measure called paper impact effectiveness (PIE) that combines both indicators to evaluate the impact of research papers in order to provide a more realistic and fair indicator. Therefore, the total number of downloads for the most popular papers, selected from a single journal, in addition to total citations from Google Scholar were obtained to prove this paper’s argument. Universities, research ranking agencies, and researchers can use the PIE value to assess the impact (i.e., value) of research papers. [ABSTRACT FROM AUTHOR]

In this expository work, we sketch some applications of annotated logics. Such logics were discovered in the late 1980s and nowadays have become one of the most fertile logics for applications. They constitute a two-sorted logic, and they are paraconsistent and in general paracomplete and non-alethic logics. [ABSTRACT FROM AUTHOR]

The subsector of pulp and paper presented in 2013 an electric power consumption of 9.3% of electricity consumption in the industrial sector in Brazil. It experienced a significant growth of production in the last 20 years, exceeding 160%, and their consumption of electricity increased by 130%, reaching the level of 19,594GWh. Due to its characteristics, with a known structure and production processes, and its importance in the country's industrial sector, this subsector was selected for study in this paper, to evaluate the behavior of its long-term annual electricity demand, at the horizon of 20 years ahead, in energy efficiency scenarios through bottom-up approach. This approach is data intensive and requires data with good quality; it consists of a hierarchical structure that enables to check how specific actions can affect the results at each level and its effect on higher levels. [ABSTRACT FROM AUTHOR]

The emergence of the Internet has brought revolutionary changes to modern information technology. The development of electronic communication information storage technology facilitates people to access information anytime and anywhere, effectively achieving resource sharing. However, traditional methods scatter communication information to all nodes, but neglect the extraction of electronic communication information association features, resulting in low information storage efficiency. This article analyzes the efficiency management of electronic communication information storage in multi-threaded networks and sets up a control experiment. Comparing the method proposed in this article with traditional methods, this study focuses on five aspects: information redundancy storage, information space utilization, productivity, data accuracy, and data transmission efficiency. It is concluded that the average information redundancy storage capacity of traditional electronic information storage methods is 8.35 x 107 T which is 6 x 107 T higher than using multi wire network electronic communication information storage methods. It indicates that traditional redundant information occupies a large amount of storage space, and its storage value exceeds the upper limit of electronic communication information storage. This means that the stored information may be overwritten by redundant information, resulting in the loss of stored information. The experimental results show that using the method proposed in this paper for electronic communication information storage results in a high distribution density of storage space and a significant improvement in information storage efficiency. [ABSTRACT FROM AUTHOR]

The recent pandemic events in Thailand, Covid-19 in 2018, demonstrated the need for an event-based smart monitoring system. While a distributed multi-level architecture has emerged as an architecture of choice for a larger-scale smart event-based system that requires better latency, security, scalability, and reliability, a recently introduced data mesh paradigm can add a few additional benefits. The paradigm enables each district to become an event-based smart monitoring mesh and handle its analytics and monitoring workload. Districts can form a set of domains in a network of event-based smart community monitoring systems and provide data products for others during a crisis. This paper presents a distributed data mesh paradigm for an event-based smart monitoring product in a given community with predefined domains. The paper presents smart monitoring as a data product between domains. Key considerations for designing an event-based smart monitoring data product are given. The author introduces three possible domains necessary for creating a smart monitoring system in each community. Each domain creates a data product for a given domain and shares data between domains. Finally, a three-layer analytics architecture for a smart monitoring product in each domain and a use case is presented. [ABSTRACT FROM AUTHOR]

This paper presents results of topic modeling and network models of topics using the ICCS corpus, which contains domain-specific (computational science) papers over sixteen years (a total of 5695 papers). We discuss topical structures of ICCS, how these topics evolve over time in response to the topicality of various problems, technologies and methods, and how all these topics relate to one another. This analysis illustrates multidisciplinary research and collaborations among scientific communities, by constructing static and dynamic networks from the topic modeling results and the authors’ keywords. The results of this study give insights about the past and future trends of core discussion topics in computational science. We used the Non-negative Matrix Factorization(NMF) topic modeling algorithm to discover topics and labeled and grouped results hierarchically. We used Gephi to study static networks of topics, and an R library called DyA to analyze the dynamic networks of topics. [ABSTRACT FROM AUTHOR]

In advanced missions, handling thin and soft membranes is difficult for robots. This task is composed of several sub-tasks, including turning and removing a sheet from a pile of papers on a table, folding paper, and sticking two pieces of paper together. In this study, a hand robot turns and removes a sheet from a pile of papers, and ensures that only one sheet is grasped. To perform this task, two robotic fingers compress the piled papers in the normal direction of the table with a specific force as they close. We therefore incorporated position-based force control into our system; for the force controller, we adopted stiffness control that calculates position modification proportionally to the difference between the target force and an external force measured by the tactile sensor. With this controller, the robot was able to remove a sheet from a pile of papers and ensure that only one sheet was removed. Using this discrimination, the maximum-minimum shearing forces are better classified than with normal force distribution deviation. [ABSTRACT FROM AUTHOR]

Indigenous communities and their way of life are facing significant challenges due to globalisation, industrialisation and urbanisation, which have forced them to gradually adopt the architecture, lifestyle, and culture of mainstream society. This paper proposes a Smart Vernacular Architecture (SVA) framework and applies it to the indigenous dwellings of the Todas, a tribal community living in India's Nilgiri mountains. The architecture and indoor space quality of these dwellings are investigated in this paper based on specific thermal comfort parameters like the interior temperature and airflow. The indoor temperatures of Toda dwellings are simulated for the predicted climate of 2100 to evaluate their climate resilience. Finally, the paper illustrates the usage of virtual reality (VR) to explore and visualise the Toda settlement and the interior environment parameters of a Toda dwelling to effectively convey and preserve the knowledge of vernacular architecture. In a nutshell, this paper elucidates the advantages of vernacular architecture and construction methods to arouse the interest of academics, policymakers, students, and professionals in preserving architecture, culture, and indigenous knowledge. [ABSTRACT FROM AUTHOR]

This paper reports on a study evaluating the value of a documentary as a key medium to communicate design research. We present information from the evaluation of a second screen application using video as well as a scientific paper, in order to assess how the efficacy and usefulness of using such a documentary for science communication is perceived when compared to a scientific paper. Techniques of a method called Design Documentary , developed to inspire design research teams through video, combined with science journalism were the basis of the production. Twelve researchers and students were shown the documentary and asked to read the paper in counter-balanced order. Our qualitative results show that the documentary as a complementary means of communication can bring benefits to research communication, since it delivers information the paper cannot provide. However, the fact the video is not suited for peer review might restrict its place when compared to the paper. On the overall, participants thought both formats are valuable and are complementary. [ABSTRACT FROM AUTHOR]

This paper overviews an assortment of recent research work undertaken on recommender system models based on using multiple views of user and item-related data across the recommendation process. A summary of representative literature on multi-view recommender approaches is provided, describing their main characteristics, such as: their potential to overcome most common shortcomings in conventional recommender systems, as well as the use of data science, learning techniques and aggregation processes to combine information stemming from multiple views. A tabular summary is provided to facilitate the comparison of the similarities and differences among the surveyed works, along with commonly identified directions for future research in the topic. [ABSTRACT FROM AUTHOR]

Research collaboration is very important in the modern scientific world, because it provides a wide range of opportunities, from the knowledge transfer between departments, institutions or even countries, to experimental research, where scientists also share materials and equipment. Because of that the field of building and analyzing collaboration networks grows in popularity. In this work we propose the methodology of building a hybrid Scientific similarity network based on the features obtained from two leading Scientific platforms – ResearchGate and Scopus. Experimental evaluation demonstrates good quality of the proposed approach and ability of the hybrid network to generate interconnections not distinguishable when using a single network. [ABSTRACT FROM AUTHOR]

Small area femtocell increases the energy efficiency of the cellular network as the distance between base station and user is very less. Mobile femtocell causes the spectrum reuse to be used at very large extent making spectral efficiency suffer. This paper discusses recently researched techniques that have been used to increase the spectral efficiency in mobile femtocell network. But these techniques also come with their own limitations. Considering this, data aggregation and compression technique can be consider as one of the best contender to increase the spectral efficiency in cellular network which is also been explained in this paper. [ABSTRACT FROM AUTHOR]

Paper currency recognition (PCR) is an important area of pattern recognition. A system for the recognition of paper currency is one kind of intelligent system which is a very important need of the current automation systems in the modern world of today. It has various potential applications including electronic banking, currency monitoring systems, money exchange machines, etc. This paper proposes an automatic paper currency recognition system for paper currency. A method of recognizing paper currencies has been introduced. This is based on interesting features and correlation between images. It uses Radial Basis Function Network for classification. The method uses the case of Saudi Arabian paper currency as a model. The method is quite reasonable in terms of accuracy. The system deals with 110 images, 10 of which are tilted with an angle less than 15o. The rest of the currency images consist of mixed including noisy and normal images 50 each. It uses fourth series (1984–2007) of currency issued by Saudi Arabian Monetary Agency (SAMA) as a model currency under consideration. The system produces accuracy of recognition as 95.37%, 91.65%, and 87.5%, for the Normal Non-Tilted Images, Noisy Non-Tilted Images, and Tilted Images respectively. The overall Average Recognition Rate for the data of 110 images is computed as 91.51%. The proposed algorithm is fully automatic and requires no human intervention. The proposed technique produces quite satisfactory results in terms of recognition and efficiency. [ABSTRACT FROM AUTHOR]

Dyslexia is a type of Specific Learning Disability (SLD) that affects the educational development of a student, as it is the reason of difficulties not only in writing or reading but also in other disciplines like Mathematics. Research has proven that Information and Communication Technologies (ICT) can have a positive effect to the educational development of a dyslexic student. In this paper, twenty 6 th -grade primary-school students were observed while using computers during exams - ten with Dyslexia and ten with no SLDs. All students were called to solve a digital test and a paper test that were including some basic mathematic operations. The researcher recorded and examined the differences between the results from the two tests. Descriptive and deductive statistical analysis showed that students had better results when examined via a computer compared to a traditional written examination. [ABSTRACT FROM AUTHOR]

The requirements of public administration institutions are increasing and projects becoming progressively challenging. Managing a project is a complex activity, in particular when it involves many people working over long periods of time and many different stakeholders. This increasing complexity requires management practices and tools that assure an efficient use of resources. In this context, a Project Management Office (PMO) can be of great value. In this position paper we discuss several scenarios for PMO implementation in the public administration sector, as a promoter of project success and a key ingredient for a better resources usage. [ABSTRACT FROM AUTHOR]

We conduct a comparative life cycle assessment of two business card options: a smartphone software and the common paper- based alternative. Life cycle impacts of production, distribution and use of business cards were compared and contrasted for both systems. Given the prevalence and multifunctionality of digital devices and services, we analyze the environmental impacts of the two systems and evaluate their total energy consumption, Greenhouse Gas (GHG) emissions and toxic releases by conducting a two-stage life cycle assessment with alternating functional units. The results indicate that, for a small-scale functional unit, the paper-based business card system causes slightly less environmental impact and has lower energy demand than the software-based (digital) business card system. Whereas when considering the more likely, large scale (real world scenario) functional unit, the digital business card system is more environmentally friendly and economical in terms of energy consumption. By comparing these two systems, this paper serves businesses and consumers when considering environmental consequences and energy depletion of their business networking options. [ABSTRACT FROM AUTHOR]

Unimodal biometric systems are susceptible to a variety of problems such as noisy data, intra-class variations, limited degrees of freedom, non-universality, spoof attacks and unacceptable error rates. Some of these limitations can be addressed by deploy multimodal biometric systems that integrates the evidence presented by multiple sources of information The proposed system provides effective fusion scheme that combines information presented by the multiple domain experts based on the Rank level fusion integration method, thereby increasing the efficiency of the system which is not possible by the unimodal biometric system. The proposed multimodal biometric system has a number of unique qualities, including principal component analysis and fisher's linear discriminate methods for individual matchers authentication. The novel rank level fusion method is used in order to consolidate the results obtained from different biometric matchers. [ABSTRACT FROM AUTHOR]

Open source software (OSS) is a software product with the source code made public so that anyone can read, analyze, and change or improve the code. The use of this software is under a license, like Apache, GNU, MIT, Mozilla Public, and Eclipse Public License. Open source software development (OSSD) provides high quality assurance through user testing and peer reviews. The quality of these products depends on the size of the product community. This paper discusses the stakeholders of the OSS community, the quality assurance frameworks and models proposed in some studies, some statistics about OSS, the problems that affect the quality of OSSD, and the advantages and disadvantages of OSS compared to closed source software. This allows us to understand how we can achieve and improve the quality assurance and quality control of OSSD. [ABSTRACT FROM AUTHOR]

The Internet of Things is evolving in terms of technology and applications. IoT networks are made up of a lot of smart devices having networking capabilities, also known as endpoints. The battery life of these endpoints is often limited, which has an effect on how long IoT applications can run in the real world. The Internet's current state was developed using a variety of technologies. IoT technology relies heavily on WSNs, which enable the fusion of diverse systems, data, and applications. The findings demonstrate that the suggested structural design can successfully lower energy usage and increase the WSN's course of life. We will outline the causes of energy waste in WSNs in this paper, along with various methods for reducing it. [ABSTRACT FROM AUTHOR]

At present, universities are facing a critical period of transition from digital campus to smart campus. Because cloud service data has the characteristics of diversity, in addition to structured data, there are also unstructured data, which play an important role in the study and life of the majority of students. Therefore, it is very important to improve the construction level of smart campus cloud service platform. At this stage, there are great differences between the service platform under the traditional model and the smart campus platform under the big data computer system. Under the traditional mode, the construction method of smart campus cloud service platform in the city has some shortcomings. Therefore, it is urgent to build a smart campus cloud service platform. Based on this, this paper compares the smart campus cloud service platform of the traditional service platform and the big data computer system. The results show that the latter has a timely response speed and can bring high-quality and efficient data services to users. At the same time, it also analyzes the ideas and goals of building an intelligent cloud service platform, and puts forward corresponding construction methods. [ABSTRACT FROM AUTHOR]

The omnipresent pervasiveness of personal devices will expand the applicability of the Dynamic Data Driven Application Systems (DDDAS) paradigm in innumerable ways. While every single smartphone or wearable device is potentially a sensor with powerful computing and data capabilities, privacy and security in the context of human participants must be addressed to leverage the infinite possibilities of dynamic data driven application systems. We propose a security and privacy preserving framework for next generation systems that harness the full power of the DDDAS paradigm while (1) ensuring provable privacy guarantees for sensitive data; (2) enabling field-level, intermediate, and central hierarchical feedback-driven analysis for both data volume mitigation and security; and (3) intrinsically addressing uncertainty caused either by measurement error or security-driven data perturbation. These thrusts will form the foundation for secure and private deployments of large scale hybrid participant-sensor DDDAS systems of the future. [ABSTRACT FROM AUTHOR]

Abstract: There are a number of issues which are involved with organizing a conference. Among these issues, assigning conference-papers to reviewers is one of the most difficult tasks. Assigning conference-papers to reviewers is automatically the most crucial part. In this paper, we address this issue of paper-to-reviewer assignment, and we propose a method to model the reviewers, based on the matching degree between the reviewers and the papers by combining a preference-based approach and a topic-based approach. We explain the assignment algorithm and show the evaluation results in comparison with the Hungarian algorithm. [Copyright &y& Elsevier]