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In various fields of computer science the word meaning has been explored. In various fields such as Smart Environment, Distributed Computing and Contextual Consciousness, context conscious devices are in popularity. Context Aware System is the new path towards the technology in Mobile Computing. This is a portable computing component where mobile apps can detect spatial data (e.g. User Place, Period of Day, nearby people, locations and user activities). Now in the era of Mobile Computing, recently we have seen the new developments in Apple iPhone-5 and Samsung Galaxy Note where they have application of Context aware System but it is not that what we call a "Killer App". Context conscious System is an old field but a rich field of research. In this paper, the difficulties and possible solutions are discussed which can serve as guidance to the developer or a researcher hoping to make an efficient Context Aware System a reality. [ABSTRACT FROM AUTHOR]

Artificial Intelligence (AI) and Machine Learning (ML) transforming the Insurance industry by improving efficiency, reducing costs, and providing a better customer experience. As these technologies continue to evolve, more innovation can be expected in the Insurance industry. A Bibliographic analysis is conducted for scientific mapping based on 1,084 SCOPUS-indexed publications between the year 2000-2022 using VOSviewer Application. The Analysis was conducted based on Publications by year, Source, Author, Affiliation, Country, Type, Subject Area and Funding Sponsors. The research found the result, the year 2022 had the highest publication of 203, through documents per year by the source of Lecture Notes In Computer Science Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics at 43 publications, Bauder, R.A. author is the maximum contributor, Harvard Medical School has been the major affiliate, United States of America, has the maximum 341 publications, Conference paper has the majority participation at 412 documents at 38 percent and Keywords "Artificial intelligence", Machine Learning" and "Insurance" has the highest occurrence. The maximum number of publications inthe field of computer science at 28 percent. Overall, this bibliographic analysis provides a comprehensive overview of the current state of research in AI and Machine Learning in the Insurance industry and highlights the potential for further innovation and development in this field. [ABSTRACT FROM AUTHOR]

Virtual reality (VR) has grown and become more prevalent as technology advances. However, there is a smaller amount of study focusing on the functionality of VR applications in mental health. Therefore, to close the gap, research has been conducted with the aim of reviewing the functionality of VR applications for mental health. The research has performed a systematic literature review (SLR) to investigate the growth of VR applications for mental health. Three significant databases in computer science were involved in the search process, specifically, Scopus, the Institute of Electrical and Electronics Engineers (IEEE), and World of Science (WoS). The result indicates seventy-six papers (76) in three databases. The research analyzed the papers, and the result suggested reviewing four papers. The result also shows that the functionality of virtual reality (VR) applications for mental health is beneficial to the medical sector. However, less research has been conducted specifically on the application functionality. We believe there will be more research on the field in the future. [ABSTRACT FROM AUTHOR]

From numerous sources, a vast volume of text data has been developing daily. This enormous volume of data contains crucial knowledge and information that must be skillfully condensed to be usable. In this era of digitalization, vast information is available to us, which are being uploaded online from all over the world in the form of the web pages, and social media etc. To expand quick knowledge from this massive content, the summary of text can help understand the concept fast. Whenever we talk about the text summarization in research article or paper, we must be aware that this colossal amount of data can be generic or scientific and with this we will have an astronomical number of publications. There would be great support to the researchers if the approach of automatically summarization were applied on the scientific articles to increase the speed of understanding. Due of its applicability in numerous fields, automatic summarization of natural language is a prominent academic and industrial focus in computer science. While doing text summarization the essence or the context of the text remains same this could be the primary requirement. It is due to the high usage of Internet as a medium text summarization is developed as an outstanding tool for interpreting text information. Extraction of important information from the source text material is known as text summarization. In this procedure, the extracted data is produced as a concise report and sent to the user as a succinct summary. Broadly text summarization is classified into two methods extractive and abstractive techniques for summarization. Defining a rank from the text file based on the word and features of the sentence, collate them to develop a summary where feature of sentences will be notified based on the statistical and linguistic trait, which we name as extractive summarization method. In other case first we have to understand the details and main points of the documents, after which we need to define these concept in terms of natural language is defined as Abstractive Summarization method. This paper will give you the comparative study of various Abstractive Summarization methods. [ABSTRACT FROM AUTHOR]

Cloud computing refers to the on-demand distribution of the applications to storage facilities and computing services over a network through any browser to the users or an organization. And the companies that distribute these services are called CSPs (Cloud Service Providers). The idea of cloud computing is with us as back as the 1960s and over the decades' cloud computing has shown substantial growth especially in past few years and has revolutionized the field of computer science. Having the potential to severely cut down the cost of purchasing and maintaining IT infrastructures, it has been extremely useful for small businesses, banking, educational establishments, and healthcare institutes. This paper focuses on highlighting the benefits of various types of cloud computing along with its definition, how it has evolved and its advancement over the decades with changing needs of the world, and its application in above mentioned sectors furthermore paper will be discoursing the growth and future of the cloud computing. [ABSTRACT FROM AUTHOR]

Now a day's software reengineering plays a great role in the industry of computer science. There are a lot of different companies that runs different type of software's but most of them have old/legacy software systems. These systems need some improvements and reconstruct, but if we develop a new system for the specific company then that is much expensive, and a lot of risk involve in it. These different situations face, we are reengineering the software based on customer requirements and time demand, that is much helpful and low expensive. In this paper, we review different relevant papers and describe it in a definite way and show it that after software reengineering, software system will be more stable and reliable. In this also discuss the overall software reengineering process and their different interrelated steps. [ABSTRACT FROM AUTHOR]

Text-to-Image Synthesis is the method of creating occurrences (images, animation) from a given text depiction. The text depiction is additionally combined, utilizing the discourse of the client. Image synthesizing has consistently been an eye-catching business sector for nearly ten years now. Blending pictures dependent on the depiction given by the client will be more client-driven than more frameworks created, which causes individuals to comprehend the impression of others. Text-to-picture Synthesis is utilized to create fake countenances - producing counterfeit faces that look practically indistinguishable from genuine individuals - Coloring pictures, MRI image reconstruction, and crime scene visualization. In this paper, we review the technique for text-to-picture Synthesis and its applications in different fields. These regions incorporate medical applications, Forensics applications, and cultural applications. Our work centers around giving a synopsis on quite possibly the most exceptionally encouraging areas of Computer Science for people and organizations keen on making an ideal world. We envision our review to acquire more significant and better applications contributing to the advancement of humankind. [ABSTRACT FROM AUTHOR]

In the recent few years, ICT Tools are popular in education to increase student's knowledge and interest. There is still lack of awareness of what kind tools are available. This paper presents a review of some applications/tools used for educational purposes and to improve student's educational growth and knowledge especially for computer engineering students. In this digital world, tools like animation, polls, quizzes, etc. are very amazing thing to include as part of subject activity. We wrote in this paper about different ICT tools along with their pros and cons to help faculties to decide the type of tool they can embed with their teaching learning methodologies according to their subject need. [ABSTRACT FROM AUTHOR]

In recent world data analytics is more popular term in the field of computer science. The paper focuses on the compressive survey of various data analysis tools to connect with the people by just reading their data. Some of the most popular data analysis tools have been chosen, and a comparison has been made based on some key parameters to determine the best tool in the data science industry. Scenes can uses a huge collection of data information to analyze, predict, and deliver information such as the whole determined by various countries, HEIs, government, universities, and schools. In this paper data analytics tools has taken in account with the consideration of different parameter as Cost, data handling capabilities, graphical capabilities, big data, and other considerations. Comparative study has been made using own experiences on various data analysis tools. [ABSTRACT FROM AUTHOR]

Twenty-first century is the era of globalization and digitization. Nowadays, internet rules every aspect of life. Today, human life and activities are not limited to a society or locality. By means of social networking and service oriented architecture each and every emotion and action is computerized. Therefore, data security and privacy preservation need ultimate priority and attention. Cryptography is the part of computer science which deals with information security. Diverse cryptographic methodologies are available for different media. Ensuring and enhancing security of text data is of utmost importance, as, majority of online communication still happens via text media. The method of transforming original text into unintelligible cipher text before sending it through insecure channel is called encryption and the reverse process is decryption. Modern day encryption is broadly classified into two categories – Symmetric key or private key cryptography and Asymmetric key or public key cryptography. This paper presents a detail survey on symmetric key cryptography, where same key is used for both encryption and decryption. All available private key encryption methods have been properly reviewed and analyzed, enlisting their advantages and limitations over each other. [ABSTRACT FROM AUTHOR]

The paper presents the analysis results of scientometric data of modern Russian research in Computer science to form and evaluate thematic trends, as well as determine their position relative to the trends of world scientific publications. The study is based on the methods of scientometric analysis of bibliographic data to reveal the thematic distribution of scientific publications, including in retrospect. The bibliographic database of the scientific electronic library eLIBRARY.Ru, the Scopus database, as well as the annual reports "Research fronts" published by Clarivate Analytics were used as data sources. In the course of the study, an examination of scientific publications was carried out, and internal research fronts were identified. A conclusion is drawn about the catching-up position of Russian research in the field of Computer sciences, and an assumption is made about the thematic areas that will be relevant in Russia in the coming years. [ABSTRACT FROM AUTHOR]

Artificial Intelligence (AI) and Machine Learning (ML) is a branches of computer science applications that develop system-related tasks performed by programs and mathematical algorithms providing computers able to learn with or without human intervention. The perspective of AI and ML includes looking at exceptionally expansive space if conceivable speculations to decide one that best fits with the watched information and any earlier information held by the learner for this purpose so many algorithms are used in different types. Artificial intelligence is something that will produce our lives easier by performing different high-level computations and understanding complex issues. This can be a straightforward definition of what precisely artificial intelligence has done. The paper presents the supporting ability of artificial intelligence and machine learning in different applications, such as education, smartphones, medical care, and space technologies. However, this review studies the present status of machine learning, deep learning, and artificial intelligence technologies applied to the above technologies. [ABSTRACT FROM AUTHOR]

Computational Thinking (CT) is an important skill to master in the 21st century. There are several ways that are believed to be able to improve students' CT skills, one of which is the use of block-based programming. Thinking concepts in CT include problem-solving, systems design, and understanding human behavior in terms of basic computer science concepts. Block-based programming is relatively easy to teach because the interface is easier to use, uses natural language, can perform block searches and uses drag and drop interactions. Given the importance of CT skills for students as well as some of the conveniences offered by using block-based programming, it is surprising that this topic has not been explored much. This paper provides a review on 20 papers with a systematic review method, which provides evidence of the influence of block-based programming to computational thinking skills. This systematic review has adopted Chitu Okoli and Kira Schabram framework as the premise for defining and identifying the influence of block-based programming to computational thinking skills. The main findings in this paper is used of block-based programming can affect some of students CT skills through several different delivery methods but there are still some different opinions about the effect on students problem-solving abilities. [ABSTRACT FROM AUTHOR]

Face detection is the most popular area of research in the vision of computer science, this paper reviews the function of automatic face recognition and search on video flow from observing cameras in open or business locations. It is critical detection of the people when looking, for example, exhibitions, public spaces inside buildings, and shopping malls. Web cameras were used for face recognition and tracking in the prototype, which was developed on open-source boards Arduino Uno and Processing with Open CV. This framework can be used for security purposes, such as tracing the visitor's face and detecting and tracking it. Using Open CV, a software web camera. From using proposed method, found which time taken to find the face was fewer than 0.5 s that processes of proposed method will usages the real time purposes. [ABSTRACT FROM AUTHOR]

Fintech is quite important in a company. This paper aims to review the status and visual map position of research in the internationally Fintech publication indexed Scopus that used a bibliometric perspective. The research was carried out using bibliometric techniques. Data analysis as well as visualization utilizing VOS Viewer program and the Scopus function for analyze search results. In this review, the details collected applied to 745 documents issued from 1984 to 2019. The study reveal that Lee Kuo Chuen and Bina Nusantara University were the most active individual scientists and affiliated institutions in Fintech publication. In Fintech the Computer Science and Economist United Kingdom were the most areas of study and dissemination sources. There were three worldwide group maps with collaborative researchers. In order to identify the body of knowledge created from thirty-five years of publication, this study constructed a convergence axis grouping comprising of Fintech publication: Blockchain, Innovation, Big data, China, Sales, Insurance, Computers, and Cryptocurrencies, abbreviated as BIBCSICC themes. [ABSTRACT FROM AUTHOR]

Bitcoin in the last decade, has become increasingly popular as a form of electronic currency. This paper aims to review the status and visual map position of research in the internationally Bitcoin studies indexed Scopus that used a bibliometric positioning overview. The research was carried out using bibliometric techniques. Data analysis as well as visualization utilizing VOS Viewer program and the Scopus function for analyze search results. In this review, the details collected applied to 3,281 documents issued from 2011 through 2019. The study reveals that Bouri, E. and Chinese Academy of Sciences, Studies were the most active individual scientists and affiliated institutions in Bitcoin studies. In bitcoin studies, the Computer Science and Lecture Notes in Computer Science Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics were the most areas of study and dissemination sources. There were one worldwide group maps with collaborative researchers. In order to identify the body of knowledge created from eight years of publication, this study constructed a convergence axis grouping comprising of bitcoin studies: Bitcoin, E-Finance, Blockchain, Privacy, Cybercrime, Computation, and Systems, abbreviated as the theme BFBPCCS. [ABSTRACT FROM AUTHOR]

WeChat is the most popular social media in the world, especially in China. There is no overview of publications in the area of WeChat Research which shows the big picture using data from all countries. This paper aims to review the status and visual map position of WeChat publication indexed by Scopus used a Bibliometric. The research was carried out using Bibliometric techniques. Data analysis as well as visualization utilizing VOS Viewer program and the Scopus function for analyze search results. In this review, the details collected applied to 1.264 documents issued from 2012 through 2019. The study reveals that He, L. and Sun Yat-Sen University were the most active individual scientists and affiliated institutions in WeChat Research. In WeChat Research, the Computer Science and Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes In Bioinformatics were the most areas of study and dissemination sources. There were three worldwide group maps with collaborative researchers. In order to identify the body of knowledge created from seven years of publication, this study constructed a convergence axis grouping comprising of WeChat Research: Social Networking, Education, Human, Article, WeChat. abbreviated as the SEHAW theme. [ABSTRACT FROM AUTHOR]

The current paper aims to shed light on the effectiveness of using cutting-edge technologies, namely Quizlet, to enhance vocabulary learning. The case study focuses on the first-year Computer Science students (n=121) who were tested on some less frequently used lexis of A2 and B1 levels. Some of them were then taught these vocabulary units as well as some extra ones using the mobile application and the online platform Quizlet in order to be re-tested later, whereas the other half was simply given a list of these new words and expressions to learn on their own. Consequently, there are three stages in this experiment. The choice of this platform for these learners can be accounted for by the fact that Computer Science students are likely to get most of the information in the digital format and thus such an application is bound to enhance their learning experience. The results and conclusions have been made based not only on the second testing of the respondents but also on their own accounts of the degree of their satisfaction with the learning methods offered. [ABSTRACT FROM AUTHOR]

In the field of Theoretical Computer Science and Molecular Biology, Combinatorics on words has contributed a lot and has a wide range of applications in cancer cell detection, pattern matching and fractal geometry. Motivated by the concept of word graphs, in this paper, construction of a Generalized k−Modulo Graph and Generalized Complement of k−Modulo Graph are initiated. Subgraph properties are analysed and also adjacency matrix is discussed. Finally, Spectrum of graphs are calculated and a comparative relation is shown. [ABSTRACT FROM AUTHOR]

Graph theory can be said as one of the branches of applied mathematics that is currently developing. A problem can be explained in detail by simplifying it with graph theory. This paper concerns with graphs that are used in everyday life as a network system to describe parts of a structure in order to make it simpler and easier to understand. The network flow system is then applied in many disciplines, including applied mathematics, computer science, operations research, management, and engineering. [ABSTRACT FROM AUTHOR]

This paper aims to provide an understanding of the basis for conducting a research with output in the form of scientific publications. A study, from proposal to scientific works, requires a research methodology. Many studies have been carried out on methodology, but few have returned according to the demands of the digitalization era. A methodology is in a fundamental position, also in computer science. The methodology familiarizes phenomena and paradigms with which objectives as interpretations of the problem formulation can be delivered to the target or outcome. That are, from concept until theory, the implication only, or as application of computer science. [ABSTRACT FROM AUTHOR]

Bitcoin in the last decade, has become increasingly popular as a form of electronic currency. This paper aims to review the status and visual map position of research in the internationally Bitcoin studies indexed Scopus that used a bibliometric positioning overview. The research was carried out using bibliometric techniques. Data analysis as well as visualization utilizing VOS Viewer program and the Scopus function for analyze search results. In this review, the details collected applied to 3,281 documents issued from 2011 through 2019. The study reveals that Bouri, E. and Chinese Academy of Sciences, Studies were the most active individual scientists and affiliated institutions in Bitcoin studies. In bitcoin studies, the Computer Science and Lecture Notes in Computer Science Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics were the most areas of study and dissemination sources. There were one worldwide group maps with collaborative researchers. In order to identify the body of knowledge created from eight years of publication, this study constructed a convergence axis grouping comprising of bitcoin studies: Bitcoin, E-Finance, Blockchain, Privacy, Cybercrime, Computation, and Systems, abbreviated as the theme BFBPCCS. [ABSTRACT FROM AUTHOR]

WeChat is the most popular social media in the world, especially in China. There is no overview of publications in the area of WeChat Research which shows the big picture using data from all countries. This paper aims to review the status and visual map position of WeChat publication indexed by Scopus used a Bibliometric. The research was carried out using Bibliometric techniques. Data analysis as well as visualization utilizing VOS Viewer program and the Scopus function for analyze search results. In this review, the details collected applied to 1.264 documents issued from 2012 through 2019. The study reveals that He, L. and Sun Yat-Sen University were the most active individual scientists and affiliated institutions in WeChat Research. In WeChat Research, the Computer Science and Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes In Bioinformatics were the most areas of study and dissemination sources. There were three worldwide group maps with collaborative researchers. In order to identify the body of knowledge created from seven years of publication, this study constructed a convergence axis grouping comprising of WeChat Research: Social Networking, Education, Human, Article, WeChat. abbreviated as the SEHAW theme. [ABSTRACT FROM AUTHOR]

Fintech is quite important in a company. This paper aims to review the status and visual map position of research in the internationally Fintech publication indexed Scopus that used a bibliometric perspective. The research was carried out using bibliometric techniques. Data analysis as well as visualization utilizing VOS Viewer program and the Scopus function for analyze search results. In this review, the details collected applied to 745 documents issued from 1984 to 2019. The study reveal that Lee Kuo Chuen and Bina Nusantara University were the most active individual scientists and affiliated institutions in Fintech publication. In Fintech the Computer Science and Economist United Kingdom were the most areas of study and dissemination sources. There were three worldwide group maps with collaborative researchers. In order to identify the body of knowledge created from thirty-five years of publication, this study constructed a convergence axis grouping comprising of Fintech publication: Blockchain, Innovation, Big data, China, Sales, Insurance, Computers, and Cryptocurrencies, abbreviated as BIBCSICC themes. [ABSTRACT FROM AUTHOR]

In recent years, mathematical modeling has played a key role in many life applications such as computer science, physics, chemistry, and genetics. Actually, in this paper, our focus is on the classifications and the importance of mathematical programming and its applications in health problems especially the Mathematical Modeling of COVID_19. According to the era of the Corona pandemic, it has been using mathematical equations to employ mathematical programming in epidemics and the mechanism of spreading in urban areas. The solution of the problem is presented in two directions; the first was by graphic representation and the other by using computational software via the Python language. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT) is the new hot trend in computer science and information technology. IoT devices collect different types of data through a diversity of sensors. Today IoT data is very much valuable. There are two types of data transmission requirements - real-time or batch. Usually, the IoT data is unstructured and the IoT devices from different manufacturers format the data in different ways. This should be considered when the data is received in the cloud to transform it into a unified format to facilitate its further storage, processing, and analysis. A very important concern is to maintain data integrity and ensure security while transmitting the IoT data. The main challenge is how to store and transmit the collected information to achieve data aggregation. The current paper summarizes the challenges involved in the process of collection and transmission of IoT data. Specific approaches are proposed to address some of the communications challenges involved in the process of transmitting the collected information. [ABSTRACT FROM AUTHOR]

Peer-to-peer (P2P) computing and technology requirements have exploded in recent years, owing to their wide range of applications in almost every domain. P2P computing and file-sharing methods are now more accessible than ever thanks to advances in computer science and technology. The time it takes for the server to load tends to be lengthened as a result of this. The vast majority of data is held in massive libraries. Networks, on the other hand, cannot operate if several computers transmit large amounts of data over the same cable at the same time. When a computer transfers a large volume of data, other computers are summoned to assist in the processing of the information. The server and network become slow when large chunks of data are withdrawn from the network. The two processes are combined in this paper to reduce the load on the servers. The results are strong since the two algorithms are mixed. The NS2 simulator is used in the implementation. The two methods to be used are the Chunk Delivery with Adaptive Buffer Management Algorithms and the Chunk Delivery with Buffer Management Algorithms. It's based on the number of chunk requests sent to the same number of response providers. The results show that the performance validated the chunk scheduling and buffer management formula's effectiveness. [ABSTRACT FROM AUTHOR]