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A typical first computer science course (CS1) introduces the student to coding conventions, variables, methods, control structures, conditionals, and the semantics of classes and objects. Advanced concepts of inheritance, polymorphism, abstract classes, interfaces, and their use in the design process, are covered in a second-level course (CS2). CS2 concepts are abstract, requiring reinforcement through considerable practice. It has been observed that traditional CS2 projects fail to capture the imagination and enthusiasm of students and are seldom useful past the end of the semester, yet interesting projects drawn from the natural sciences may be either too complex or too algorithmic to facilitate the required design experience. Game programming, in contrast, is purpose-driven and has great appeal. Unfortunately, popular game engines hide the engine's complexity and provide too much built-in functionality, relegating the user to writing glue logic in a scripting language. What is needed instead is a challenge that will provide transferable skills for solving generic problems using a statically typed language. The authors of this paper describe a Java game engine and lesson plan they developed for one semester of object-oriented instruction for students who have completed CS2. Early anecdotal results demonstrate that students find the approach challenging, informative, and incentivizing. [For the full proceedings, see ED656038.]

These proceedings contain the papers of the 20th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2023), held in Madeira Island, Portugal, from 21 to 23 October 2023 and organized by the International Association for Development of the Information Society (IADIS). The CELDA conference aims to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There have been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a fast pace and affecting academia and professional practice in many ways. The CELDA 2023 Conference received 75 submissions from more than 24 countries. Out of the papers submitted, 46 were accepted as full papers for an acceptance rate of 61%; 11 were accepted as short papers and 1 was accepted as reflection paper. In addition to the presentation of full, short and reflection papers, the conference also includes one keynote presentation from an internationally distinguished researcher: Professor Barbara Wasson, Director, Centre for the Science of Learning & Technology, Norway. [Individual papers are indexed in ERIC.]

The proposed computer system implements a scheme of joint-classroom and distance learning, scientific and exploratory research in order to motivate and stimulate students' independent work in acquiring professional competencies. The developed system reflects both the traditional structure of education in universities using groups of students, specialties and curricula, as well as modern trends in the transition to distance learning, i.e. the opportunity to study at any time and in any place, according to individual plans and schedules. The presented development can be used by students to acquire and develop competencies in the field of improving and managing technological processes for the production of metal products, including the design of machines and metal structures for additive technologies. This is ensured both by the created (and permanently updated) database of mechanical and technological characteristics of steels and alloys used in the production of materials for special purposes, including for the nuclear power industry and the chemical industry, product quality and environmental safety, and by programs developed on based on author's methods and implemented in the system of distance education, in particular, for calculating the modes of shaping and energy-power parameters in the formation of metal products. [For the complete proceedings, see ED655360.]

Today's digital games attract the attention of many people from various age groups. Some sources suggest that acquaintance with digital games is as low as three years old. When digital games are evaluated from a general perspective, it is seen that the largest user group is individuals in adolescence and youth period. Individuals at this age spend most of their time playing digital games. However, playing digital games for uncontrolled and excessive periods causes some physical and mental negative effects on both children and adults over a long period of time. In the long run, such excessive use turns into an important problem, such as digital game addiction. Digital game addiction, which is considered a behavioral addiction, is defined as a situation in which digital games cause various changes and deteriorations in daily life as a result of the inability to control the desire of individuals to play digital games. In this context, it is crucial to identify and increase the awareness of young people who spend more time with digital games and are at risk of digital game addiction. In this research, the awareness of university students about digital game addictions was examined. The research sample consists of university students studying at various education levels. Descriptive statistics, independent samples t-tests, and chi-square tests were used in the analysis of the study, which was designed with the survey model, one of the quantitative research methods. As a result of the research, it was found out that digital games are generally used for entertainment and spending time purposes, women have a higher level of awareness than men, and there is a significant relationship between gender and the device where digital games are played. The obtained findings were compared with the studies in the literature. In line with the results, some suggestions were presented. [For the full proceedings, see ED630948.]

"Proceedings of International Conference on Research in Education and Science" includes full papers presented at the International Conference on Research in Education and Science (ICRES) which took place on March 24-27, 2022 in Antalya, Turkey. The aim of the conference is to offer opportunities to share ideas, to discuss theoretical and practical issues and to connect with the leaders in the fields of education and science. The conference is organized annually by the International Society for Technology, Education, and Science (ISTES). The ICRES invites submissions which address the theory, research or applications in all disciplines of education and science. The ICRES is organized for: faculty members in all disciplines of education and science, graduate students, K-12 administrators, teachers, principals and all interested in education and science. After peer-reviewing process, all full papers are published in the Conference Proceedings. [Individual papers are indexed in ERIC.]

We are now entering a new era of development, such as the Web of Things (IoT). IOT is a cloud-based "complete overall neural framework" that connects numerous devices. The Internet of Things (IoT) is a collection ofcleverly connected devices and structures that include smart machines that interact and communicate with other machines, circumstances, things, and establishments, and advances in radio frequency identification (RFID) and sensor technology will help to address this new problem. People, programming structures, and diverse machines willshare information about the scenario and the surrounding state with IoT-enabled devices. The world will become more intelligent in every way as the Internet of Things advances. However, in the great majority of countries, internet access is only available to people who have access to computers. [ABSTRACT FROM AUTHOR]

The Association for the Advancement of Computing in Education (AACE) is an international, non-profit educational organization. The Association's purpose is to advance the knowledge, theory, and quality of teaching and learning at all levels with information technology. The "EdMedia + Innovate Learning" conference took place in Vienna, Austria July 10-14, 2023. These proceedings include 202 papers, including 7 award papers.

The world has experienced a digital transformation of epic proportions in the past few years. The prospects of the Internet of Things for improving efficiency, reducing cost, achieving data-oriented predictive maintenance, and enhancing quality have now been proven well by various studies. Since everything is going online, a lot of data is available at the disposal of organizations. Useful insights can be gleaned from these large data sets, which comprise real-time data from various devices with intelligent sensors, and seamless integration. Here is precisely where Smart Devices come into the picture. IoT and smart devices are critical enablers for higher customer satisfaction, energy efficiency, and personalization. IoT-enabled smart devices like intelligent wearables (fit-bit, iWatch), voice assistants (Google Home, Alexa), smart refrigerators, smart washing machines, etc., are becoming widespread, commercially available. People using these develop routines and become dependent on them. This entire ecosystem consisting of IoT, smart devices, technologies, and the internet is highly consumer-centric and eventually leads to satisfied and happy customers. Quantitative research involving the collection and analysis of data will be carried out. Primary data will be collected by floating a questionnaire. Data from Indians (age group 18-60) will be collected using a questionnaire. Using SPSS, the descriptive analysis would be carried out on the data collected to find the mean, standard deviation, correlation, etc. of the data. Technology Acceptance Model (TAM) is incorporated in the research to comprehend how receptive or averse are people when it comes to IoT-enabled smart devices. The model used comprises of a factor, namely Social Context Factor which includes the Social Influence construct, and technology factors which include the following constructs, Trust, Perceived Usefulness (PU), and Perceived Ease of Use (PEOU). TAM will help one understand a user's Behavioural Intention to use IoT-enabled smart devices. The paper would help one derive the impact of technical factors and social context factors on the acceptance of IoT-enabled smart devices. The paper tries to explore the various driving factors when it comes to an individual's willingness to use IoT-enabled smart devices from different prerogatives i.e. technology, and social context. The research paper successfully extends TAM to such acceptance. [ABSTRACT FROM AUTHOR]

In the online minimum cost matching problem, there are n servers and, at each of n time steps, a request arrives and must be irrevocably matched to a server that has not yet been matched, with the goal of minimizing the sum of the distances between the matched pairs. Online minimum cost matching is a central problem in applications such as ride-hailing platforms and food delivery services. Despite achieving a worst-case competitive ratio that is exponential in n even on the line, the simple greedy algorithm, which matches each request to its nearest available server, performs well in practice and has a number of attractive features such as strategyproofness. A major question is thus to explain greedy's strong empirical performance. In this paper, we aim to understand the performance of greedy on the line over instances that are at least partially random. When both the requests and the servers are drawn uniformly and independently from [0, 1], we obtain a constant competitive ratio for greedy, which improves over the previously best-known bound of [EQUATION] for greedy in this setting. We also show that this constant competitive ratio also holds in the excess supply setting where there is a linear excess of servers, which improves over the previously best-known bound of O(log3n) for greedy in this setting. We moreover show that in the semi-random model where the requests are still drawn uniformly and independently but where the servers are chosen adversarially, greedy achieves an O(log n) competitive ratio. Even though this one-sided randomness allows a large improvement in greedy's competitive ratio compared to the model where the requests are fully adversarial or arrive in a random order, we show that it is not sufficient to obtain a constant competitive ratio by giving a tight Ω(log n) lower bound. These results invite further investigation about how much randomness is necessary and sufficient to obtain strong theoretical guarantees for the greedy algorithm for online minimum cost matching, on the line and beyond. A full version of this paper can be found at https://arxiv.org/abs/2210.03166. [ABSTRACT FROM AUTHOR]

This paper considers hybrid systems – dynamical systems that exhibit both continuous and discrete behavior, where interactions between the continuous and discrete dynamics occur when a pre-defined function becomes equal to zero. Thus, de-termination of zero-crossings plays a crucial role in the correct simulation of the system in this case. Correct determination of zero-crossings for a complex real-life system can require a lot of computational resources and, as a consequence, slow down the simulation significantly. This paper presents a new way to execute the simulation generating time observations of the hybrid sys-tem dynamically using numerical infinitesimals introduced by the Infinity Computer, allowing thus to determine zero-crossings correctly. The proposed method allows to automatically detect zero-crossings with any predefined accuracy and to analyze better the behavior of the system around the zero-crossings generating observations more densely, where it is necessary. Moreover, the search for zero-crossings is performed efficiently without re-evaluation of the whole system at any observation. To show the validity of the proposed method, an important real-life hybrid system has been studied and the simulation results have been compared with the standard method. [ABSTRACT FROM AUTHOR]

DoS/DDoS attacks are some well-known and dangerous cybersecurity issues on today's internet. And it is one of the toughest security problems which always present and increases with the development of the network. A DDoS attack is a malicious attack that disrupts the normal flow of traffic, by flooding the target. Without warning, a DDOS attack can easily destroy the computers of the victim within a short period. Due to the severe security issue and severe impact on computing resources, many detection schemes and defence mechanisms are proposed to stop the network from getting huge damage. This project aims to show how the DOS and DDOS attacks work, so a much better understanding of these attacks can be achieved. The main aim of this paper is to simulate an environment with attacking network topology and compare the network performance under DOS and DDOS attacks by considering a few parameters. In this paper, we are going to make a study about the behaviour of the network based on the simulation results, and based on these more efficient techniques may be developed. [ABSTRACT FROM AUTHOR]

The x86_64 instruction set architecture is not a single, consistent, compatible interface to execute computer programs. Since the initial release in 1999, every new generation has added new instructions, some of which were later removed. Most of these new instructions are intended to improve the performance of those programs which explicitly take advantage of them. However, running such a program on older CPUs without appropriate support, results in Linux SIGILL exception signal, which is difficult for end users to diagnose. On the other hand, compiling scientific code for the least common denominator ISA can leave significant performance on the table. High Throughput systems, containing very large number of machines, cannot require a single CPU version across hundreds of thousands of machines operating in dozens of sites. The OSG Open Science Pool alone consists of more than 20 different, subtly incompatible X86_64 implementations. In 2020, Intel, AMD and RedHat proposed new terminology and partitioned these dozens of microarchitectures into a strict hierarchy of four groups. The HTCondor Software Suite and the OSG now have first class support for these microarchitectures. This paper discusses the advantages for users and future work around microarchitecture support. [ABSTRACT FROM AUTHOR]

The former CMS Run 2 High Level Trigger (HLT) farm is one of the largest contributors to CMS compute resources, providing about 25k job slots for offline computing. This CPU farm was initially employed as an opportunistic resource, exploited during inter-fill periods, in the LHC Run 2. Since then, it has become a nearly transparent extension of the CMS capacity at CERN, being located on-site at the LHC interaction point 5 (P5), where the CMS detector is installed. This resource has been configured to support the execution of critical CMS tasks, such as prompt detector data reconstruction. It can therefore be used in combination with the dedicated Tier 0 capacity at CERN, in order to process and absorb peaks in the stream of data coming from the CMS detector. The initial configuration for this resource, based on statically configured VMs, provided the required level of functionality. However, regular operations of this cluster revealed certain limitations compared to the resource provisioning and use model employed in the case of WLCG sites. A new configuration, based on a vacuum-like model, has been implemented for this resource in order to solve the detected shortcomings. This paper reports about this redeployment work on the permanent cloud for an enhanced support to CMS offline computing, comparing the former and new models' respective functionalities, along with the commissioning effort for the new setup. [ABSTRACT FROM AUTHOR]

Vending machines are essential since many people depend on them to obtain products quickly. This paper aims to develop an innovative smart vending machine that uses Internet of Things(IoT) to dispense products in a cashless, more secure way and in less time compared to Radio frequency identification(RFID) based vending machines. Materials and Methods: This paper presents an innovative smart vending machine design and implementation with IoT and the NodeMCU module. The design allows accessing the required products via the mobile application. A total of 200 samples are used to verify the performance of the IoT based vending machine. In the vending machine, the products are assembled as per the size and shape for proper dispensing of items. Results: The IoT-based vending machine has an average mean time of 17.5 seconds for dispensing a product and has an accuracy of 90%, whereas RFID-based vending machine has an average mean time of 22.2 seconds for dispensing a product and has an accuracy of 75%. Conclusion: In this paper,it is found that the IoT-based smart vending machine outperforms the RFID-based vending machine. [ABSTRACT FROM AUTHOR]

The necessity of microprocessor-based computer hardware systems has increased as a result of the advancement in technology. Now we are able to create any desirable and portable system with emerging technologies. In this paper, we present an Arduino-based computer hardware system that can be used to measure the height of a person with the help of ultrasonic sensors. The ultrasonic sensor detects the height or the distance of the object from the reference level with accuracy. Therefore, the sensor is considered as the key elements of the embedded system. The sensor is interfaced using Arduino Nano board and programmed using Arduino IDE. Other important components are the potentiometer and Liquid Crystal Display (LCD). This method of detecting distance using an ultrasonic sensor is precise, accurate, and effective. The purpose of this project is to create a portable height measurement device that is eco-friendly and cost effective. [ABSTRACT FROM AUTHOR]

Blockchain technology is actively gaining popularity and has already gone beyond cryptocurrencies. This article reviewed blockchain solutions and smart contracts currently used in blockchain systems and the gaming industry. The basic standards in this area: ERC-20, ERC-223, ERC-721, ERC-777, ERC-865, ERC-998, ERC-1155 and their features. In this paper, the following examples of blockchain-based solutions were studied: Spell of Genesis, Force of Will - exchange game money for cryptocurrency, blockchain is used to guarantee the safe purchase or exchange of digital assets; Lordmancer II from Active Games - in-game earnings by extracting resources in the game; Beyond the Void - trading tokens through the Ethereum blockchain; CryptoKitties is an online game in the form of a decentralized application (DApp) that allows players to buy, sell, collect and breed virtual cats of various types; Dmarket is an online service for the sale and exchange of in-game content that allows players to sell, buy and trade in-game items. The result of the review shows that blockchain solutions are promising in the gaming field and deserve further study. [ABSTRACT FROM AUTHOR]

Cybersecurity utilizes Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHAs) to distinguish malware from people. This paper proposes an Arabic-character CAPTCHA creation approach to improve security and inclusivity. Differential evolution and genetic algorithms optimize CAPTCHAs of various complexity. The technique builds a recursive population of alternative solutions using DEAP (Distributed Evolutionary Algorithms in Python) to increase CAPTCHA similarity to the intended text. Arabic letters enhance a character set, making computerized solvers harder and supporting Arabic-speaking users. The approach delivers robust and diversified CAPTCHAs, according to tests. A multi-algorithmic approach to multilingual CAPTCHA usability and security appears promising. [ABSTRACT FROM AUTHOR]

In this paper, an approach to recognize hole features automatically from a 3-dimension solid model is proposed. The proposed algorithm is developed to improve the existing Computer Aided Inspection Planning (CAIP) platform. STEP data is utilized as raw data. An algorithm is designed to analyze and calculate the number of face bonds. Hole features are defined according to face bond and cylindrical surfaces type. A software called HECTOR (Hole Inspector) has been developed based on the proposed algorithm. The experiment result shows that HECTOR has accurately recognized cylindrical features from 3D solid model. In addition, a number of cylindrical features, features type, features dimension, features coordinates, and features direction are also successfully retrieved from the 3D solid model. [ABSTRACT FROM AUTHOR]

The mouse is a common part of computer hardware. Using the mouse regularly requires us to perform many actions such as repetitive movements of small muscles over a long period of time, such movements can cause discomfort, pain and fatigue. Ergonomic mouse is designed through an analytical and creativity-oriented process to eliminate risk of CTS (Carpel Tunnel Syndrome). A questionnaire was rolled out and according to individual's needs collected from the survey, the design parameters were set. Various questions regarding use of mouse and how extensively they are used, also key problems people face while using the normal mouse were clearly identified and the new ergonomic design of mouse was made keeping in mind of all those problems and responses. Also, various research papers were read and data regarding dimensions and other parameters were collected to act as an aid in designing the ergonomic mouse. Two models with different parameters and angles of hand rest from the base were created to analyze which mouse prototype would be the most suitable for use and ergonomically stable hence user-friendly. Then again field research was carried out with the 3D printed mouse to arrive at the degree of satisfaction of users while using the mouse. Considering the degree of satisfaction achieved while collecting feedback, it could be concluded that the design made for all the three models was ergonomically stable but the third design was the most prevalent and so the creation of the ergonomic mouse has been successful in the research. Also, the complete elimination of aches, pain may not be possible but choosing the right ergonomic mouse, positioning it properly, and being aware of how you are holding your body and using your hand musclescan all help. [ABSTRACT FROM AUTHOR]

Object detection will be invariably an indispensable part of most if not all smart technologies of the future, even in our time the technology is being used in all the fields from medical sciences to farm management, it finds its application everywhere. Essentially there are two methods for object detection which are popular in current times, they are the traditional method of pre-2014 time and the deep learning and neural network using the method of post-2014 time. In this paper, we have proposed an object detection system in order to aid visually impaired people in their general life tasks. The software part of the system has been implemented via the python programming language, for the hardware a laptop computer with Intel i3-11th generation processor with 12 GB of RAM and integrated graphics has been used. In short, our system works by capturing an image of the product with a barcode or QR code on it and then extracting the QR or barcode part of the image, decoding it, and then giving an audio output to help the user. [ABSTRACT FROM AUTHOR]

Joint Time-Frequency Analysis (JTFA) is a well-known concept for studying time-varying signals in engineering and scientific applications. Short-Time Fourier Transform (STFT) is a widely used JTFA technique due to its superior response for real-time applications. However, the apriori's fixed window size has limited time and frequency resolution. There are several advanced techniques proposed in the literature to overcome the limitations of STFT, such as Wigner-Ville Transform (WVT), Continuous Wavelet Transform (CWT), S-Transform (ST), Generalized S-transform (GST), Complex S-Transform (CST), Bi-Gaussian S-Transform (BGST), and Hyperbolic S-Transform (HST). These advanced (JTFA) techniques demonstrated good time and frequency resolution of time-varying signals, resulting in better fault detection and classification in many engineering and scientific fields, especially for condition monitoring. In addition, the performance of these JTFA algorithms under noisy conditions is widely available in the literature. In this paper, the authors investigate the performance of S-Transform-based JTFA techniques for time-varying signals under noisy conditions and highlight their superior performance in selecting a suitable method for specific real-time industrial applications. In this study, several non-stationary test signals proposed in the literature were simulated using Matlab. The joint time-frequency analysis of these unique non-stationary signals was conducted under both normal and noisy conditions for the performance evaluation of various transforms/algorithms mentioned earlier. The results obtained are suitable for developing real-time monitoring and JTFA tools for condition monitoring and diagnostic studies with the help of IoT and Machine Learning for Smart Health Monitoring and Asset Management. [ABSTRACT FROM AUTHOR]

The paper reveals the subsequence of the collecting of geometry information, its processing, reconstructing polygonal stl-models and their using for 3D-printing of anatomic human bone models by FFF technology. The resulted phantoms can be used for teaching activities. Increasing the printing accuracy and replace the material by biocompatible one can fulfill the requirements for ready for implantation prototypes. [ABSTRACT FROM AUTHOR]

With increasing number of applications of Unmanned Aerial Vehicles (UAVs) in civilian sectors, enthusiasts are finding ways to build their own UAV which can be used for jobs that are too dull, dirty or dangerous for humans. Design of UAVs may vary according to their respective mission and payload requirements. The algorithm asks for the specific requirements of the user such as payload weight & volumetric dimensions, maximum speed at which UAV is supposed to fly etc. The process includes aerodynamic analysis of numerous airfoils and selecting the optimum one, calculating wing-span required with the selected airfoil cross section to attain required lift, reducing drag, maintaining stability of aircraft etc. This process is iterative and can take lot of time. Here arose a need to make this process automatic with the help of computer by developing an algorithm which can save lot of time for the people who have to work from scratch in order to make an UAV. In this research paper an effort is made to establish a computer-based algorithm for design and development of a flying wing UAV using MATLAB. [ABSTRACT FROM AUTHOR]

The paper gives a practical example for the information and computer support in a decision making process about investments on real estate market. The computer support is based on considerable quantitative evaluations of market characteristics about real estates. These computations are based on the usage of a portfolio theory, which is adapted in this research for the case of real estates. An algorithm for decision making is derived, which applies computations in MATLAB environments. The added value of this research comprises both the design of a decision making procedure and the numerical results, obtained for the real estate market in Bulgaria. These results are evaluated according to the behavior of the real estate market. [ABSTRACT FROM AUTHOR]

At present, practically all areas of design activities are supported by computer technology, which can be effectively used in the design of gears, belts and chain transmissions, especially in the field of calculations, as well as graphics solutions. However, their use requires mastering the basic principles of computational procedures contained in the programs in question and, on that basis, critically evaluating computer-generated solutions. The presented paper deals with the design proposal and application of program for calculation and check of chain gears. Although there are currently various programs on the market that can design chain transmissions and perform strength analysis, there is still space for improvement and the creation of these programs. The computing program has been created as a spreadsheet in the working environment of the Microsoft Office program by the Excel application through defined sequences of the individual commands. The program serves for design proposal of a chain drive by means of inserted databases, graphs and tables. In the process of designing and checking the input values are entered such as performance, rotations, and number of wheels. Through calculation the software generates speed of a chain, circumferential speed, tensile force, number of chain links, axial distance, etc. At the same time the paper compares generated parameters with manual calculation of the chain gear. [ABSTRACT FROM AUTHOR]

Novel concepts are essential for design innovation and can be generated with the aid of data stimuli and computers. However, current generative design algorithms focus on diagrammatic or spatial concepts that are either too abstract to understand or too detailed for early phase design exploration. This paper explores the uses of generative pre-trained transformers (GPT) for natural language design concept generation. Our experiments involve the use of GPT-2 and GPT-3 for different creative reasonings in design tasks. Both show reasonably good performance for verbal design concept generation. [ABSTRACT FROM AUTHOR]

Object discovery is one of the very important and challenging problems in computer computing, seeks to obtain the properties of objects from a large number of categories previously described in natural images. In particular, image classification that aims to see the semantic categories of objects in a given image. Object discovery is not only identifies item categories but also predicts the location of each item with a mandatory box. Semantic separation process aims to predict intelligent pixel separation to assign a specific category label to each pixel, thus providing a richer and more comprehensive understanding of the image. In depth learning strategies have emerged as a powerful strategy for reading presentations directly from the data and have led to significant success in the field of general acquisition. Given this period of rapid evolution, the aim of this paper is to provide a comprehensive analysis of the latest achievements in this field brought about in-depth learning strategies. Here, the deep learning object detection algorithm is implemented for accuracy and time effectiveness to show the correct label for a character of interest in a movie which will be more useful in surveillance of building, ATM centres etc. Finally, it concludes with a promising indication for future research. [ABSTRACT FROM AUTHOR]

As the times develop, where almost every aspect of human life goes hand in hand with technology and is also influenced by technology-forcing various parties, both from a company and individuals, to implement technology in business practices or daily needs. As the global economy has entered the Industry 4.0stage, which means traditional manufacturing and production practices are starting to shift to smart technology, machine-to-machine communication (M2M) and Internet-of-Things (IoT) on an integrated scale for increased automation, improved communication and self-monitoring, and the production of smart machines that can analyze and diagnose problems without the need to mix. Human hands. It is necessary for a company that competes fiercely to continue to develop their technology that can be ranging from software, operating systems, robotics, to production machines to achieve high effectiveness and efficiency. This paper will be explained about the implementation of geolocation systems to find location data from application users, certain analyses, and possible developments of the system by the needs of the system. [ABSTRACT FROM AUTHOR]

The relevance of the study is due to the increasing number of cyber-attacks on management automation systems, among which computer sabotage occupies a special place. In this class of cybercrime, risk dynamics as the probability of occurrence of damages of a certain value are studied. Risk dynamics is tracked over the past five years for the most developed countries and globally. It is shown that both the frequency and the severity of computer sabotage, despite the pandemic, are steadily increasing. This calls for international and national action. The findings of this paper prove that computer crime of the "computer sabotage" type should be seen as a separate type of computer crime, with a tendency to grow. Today it has become a cross-border phenomenon, and combating it only within national territories will not be as effective as it should be. [ABSTRACT FROM AUTHOR]

Desktop Virtualization is an extensive cloud service technology in the Information Technology sector. This isa new paradigm in which users can access the new computing technologies and operating system. Users may reduce the expense of regular updates to the client's mobile or static operating system with the help of desktop virtualization. Use virtualization to allow users to access data from costly mainframes that can be easily shared within IT environments between different applications. Virtualization technology for desktops comes as a blessing for a big or small company which has to update its computer systems with modern technology, as it is a very expensive and difficult operation. This works minimizes the complexity associated with the implementation and maintenance of customer computers, which eventually helps to reduce the cost of desktop management by IT departments. Desktop virtualization allows end-users, without being connected to a particular hardware computer, to access all their data and applications. It also helps IT divisions, along with capital expenditures for desktop hardware, to minimize management and support costs. We presenta study of desktop virtualization and problems in this article. [ABSTRACT FROM AUTHOR]

The academic library meets the needs of end-users to provide an essential source of information and knowledge. Because of the availability of books data with changes and a vast library of the educational environment, is extracted with academic libraries, basic from books data of the knowledge library to promote the significant book to perform the Analysis is to improve the book of resources, and promote a better future of the decision to manage effectively. Electronic resources are defined as resources that require access and data collection of electronic products to the computer. A complete text-based reference text, electronic publications and collections, and other multi-media products, and training users access electronic resources. The previous system does not improve student skill and student performance in the academic library based on the knowledge. This method improves the student skill and student performance in the academic library, concentrating on the student knowledge. Then use the data collection, data-pre-processing, online database, Classification and finally, predict the result. [ABSTRACT FROM AUTHOR]

The use of digital tools in teaching and learning has become increasingly common in recent years. Even prior to 2020, their usage was steadily growing, but the outbreak of the COVID-19 pandemic in the early part of the current decade significantly accelerated their adoption. This trend has persisted even as the virus is no longer a pressing emergency, indicating that certain changes will have a lasting impact. Utilizing digital tools in education offers advantages, but it also presents challenges. Transitioning from using computers and other devices for everyday purposes to incorporating them into educational contexts is not as straightforward. In this research, we examine how students perceive higher education during the transition prompted by the pandemic. We conducted a survey among military and civilian students enrolled in security and defence studies, focusing on their experiences and perceptions as they undergo significant changes in their educational routines. Analysis of the questionnaire revealed that students encountered difficulties in various aspects, including establishing connections with teachers and experiencing the same level of engagement when unable to interact with them in person. An increase in the students' perception of digital competencies was detected. This research is part of the activities undertaken in the European project DIGICODE, which aims to enhance the quality of education in security and defence by promoting the proper use of digital tools and fostering the development of digital competencies among both students and teachers. [ABSTRACT FROM AUTHOR]

The adequacy of the model of the consumption process of the target product is determined by the statistical significance of the difference between the residual errors of the forecast of the process of consumption of the target product from the process of "white noise", all the necessary calculations are performed on electronic computers, and the models are adapted to the current conditions of the consumption process of the target product. At the same time, the use of models for problems of simulation in research works seems to be rather complicated and cumbersome. The article shows that at long intervals of simulation modeling of engineering networks, without the possibility of correcting the parameters of the model, depending on the actual course of the consumption process of the target product, such models can lead to the accumulation of systematic errors and distortion of correlations between the processes of consumption of the target product in various network nodes. The article shows that at long intervals of simulation modeling of engineering networks, without the possibility of correcting the model parameters depending on the real course of the consumption of the target product, such models can lead to the accumulation of systematic errors and distortion of correlations between the processes of consumption of the target product in various nodes of the network. For the purposes of simulation modeling of sufficiently large engineering networks, including dozens of nodes, models are more applicable, which can be represented as a composition of parametrically specified functions. The paper shows how the parameters of such models can be determined using limited statistical material on the process of consumption of the target product at objects of various types below in the article are the ways of implementing the model algorithm and obtaining results that meet the requirements of simulation. [ABSTRACT FROM AUTHOR]

This document is a preface to the International Conference on Computer, Information Technology, and Intelligent Computing (CITIC 2023). The conference, held virtually from July 26-28, 2023, focused on the theme of "Empowering the Future: The Role of Information Technology in Building Resilience." It brought together academic scientists, researchers, and scholars to exchange experiences and research results in the fields of Computer, Information Technology, and Intelligent Computing. The selected papers in this proceeding cover various topics such as Artificial Intelligence, Machine Learning, Software Engineering, Information Systems, and more. The conference aimed to foster collaboration and open conversations on information technologies. [Extracted from the article]

The Electronic Physics Informatics International Conference (EPIIC) 2023 was held in Indonesia and focused on the theme of "Transforming Innovations Physics and Computer Electronic through digital practices in a post-pandemic world." The conference aimed to bring together researchers, educators, students, practitioners, and policymakers to present their studies in various fields such as Physics, Applied Electronics and Devices, Applied Computer Science, and more. A total of 190 selected papers out of 256 submissions will be published in the AIP Conference Proceedings. The organizing committee expressed their gratitude to all participants for their contributions to the success of the seminar. [Extracted from the article]

The CMS data acquisition (DAQ) is implemented as a service-oriented architecture where DAQ applications, as well as general applications such as monitoring and error reporting, are run as self-contained services. The task of deployment and operation of services is achieved by using several heterogeneous facilities, custom configuration data and scripts in several languages. In this work, we restructure the existing system into a homogeneous, scalable cloud architecture adopting a uniform paradigm, where all applications are orchestrated in a uniform environment with standardized facilities. In this new paradigm DAQ applications are organized as groups of containers and the required software is packaged into container images. Automation of all aspects of coordinating and managing containers is provided by the Kubernetes environment, where a set of physical and virtual machines is unified in a single pool of compute resources. We demonstrate that a container-based cloud architecture provides an acrossthe-board solution that can be applied for DAQ in CMS. We show strengths and advantages of running DAQ applications in a container infrastructure as compared to a traditional application model. [ABSTRACT FROM AUTHOR]

The CERN Tape Archive (CTA) is the successor to CASTOR and the tape backend to EOS. It was designed to meet the needs of archival storage of data from LHC Run–3 and other experimental programmes at CERN. In the wider Worldwide LHC Computing Grid (WLCG), the tape software landscape is quite heterogeneous, but we are entering a period of consolidation. A number of sites have reevaluated their options and are choosing CTA for their future tape archival storage needs. However, CTA's original mandate imposed several design constraints which are not necessarily optimal for external sites. In this contribution, we show how CERN has engaged with the wider HEP community and collaborated on improvements which allow CTA to be adopted more widely. We detail community contributions to allow CTA to be used as the tape backend for dCache; to facilitate migrations from other tape systems such as OSM and Enstore; and improvements to CTA building and packaging to remove CERN-specific dependencies and to allow easy distribution to external sites. Finally, we present a roadmap for the community edition of CTA. [ABSTRACT FROM AUTHOR]

Breast cancer is the most frequent cancer in women, although it may affect either gender. It is responsible for an unfathomable amount of deaths globally. In a particularly low-resource developing country, there is a lack of knowledge and facilities, particularly in rural regions, as well as a high percentage of breast cancer discovered in the late stages. Early identification of breast cancer, on the other hand, can help raise the chances of survival. With a rising number of patients, manual examination of medical photographs has become tiresome, time consuming, and impractical. With advances in machine learning, it is now feasible to develop an automatic and efficient Computer Aided Diagnosis (CAD) system and make the entire process of identifying a malignant tumor better resources efficient and time saving through correct use. [ABSTRACT FROM AUTHOR]

We have reviewed the simulation modeling problems concerning the technological process of transport support. We have proposed the solutions to optimization problems. An optimal path algorithm has been developed in the Anylogic software. Also, the optimization process of the number of vehicles in the specified conditions has been performed. The results of computer experiments are given. [ABSTRACT FROM AUTHOR]

Now, one day there is actually a need for automation because it accomplishes tasks in a smarter way without human assistance. The Internet of Things, which is mainly based on completely smart home devices, is one such example. Our company proposes a design plan for nationally produced automated machines based on the Internet of Things. In this smart home environment that supports the Internet of Things, many issues including lighting, air conditioning operation, and smart irrigation are related to the network, and allow people to display and operate items regardless of time and place. This is a completely WiFi-based version, which means it uses WiFi technology. The prototype uses Node MCU as a complete gateway based primarily on WiFi to connect extraordinary sensors and update data to the Adafruit IO cloud server. A set of relays is used to connect the MCU node to the house under the managed home equipment. The proposed IoT smart home machine can effectively manipulate home equipment through the network without any hassle and guide home protection through self-sufficient operations. [ABSTRACT FROM AUTHOR]

Adolescents with musculoskeletal disorders are reported to experience difficulties in building relationships with peers, poorly adapt in a team, which contributes to their escape from life's difficulties into the virtual world and the gradual formation of computer addiction. With computer addiction, a child may have increased irritability, a tendency to illegal actions, which leads to a hostile perception of the surrounding social world. Their ability to express their thoughts, establish contacts and dialogues with other people in real life suffers. Against the background of social maladjustment with excessive enthusiasm for games, some schoolchildren develop unjustified aggression, cruelty; most of them do not know how to productively overcome difficulties. The purpose of the research is to identify the characteristics of resilience in adolescents with musculoskeletal disorders with different levels of computer addiction. The following diagnostic methods were used in the study: S. Maddi's Hardiness Survey (adapted by D. A. Leontiev, E. I. Rasskazova), Internet addiction test (T. A. Nikitina, A. Yu. Egorov). The sample comprised 30 participants. The data was analyzed using the methods of mathematical data processing (nonparametric statistical Kruskal-Wallis test, Spearman's rank correlation coefficient). Research results showed that adolescents with musculoskeletal disorders are characterized by a lower level of resilience. They are willing to show more passive behavior and avoid stressful situations. [ABSTRACT FROM AUTHOR]

We present a framework for digital health consent in support of computable expression of medico-legal policies to govern consumer data sharing across providers. The approach is aligned with HL7 FHIR® standard, and is based on generic formalism for policy modelling, grounded in normative systems and deontic logic. We show the use of the framework for a clinical research scenario. [ABSTRACT FROM AUTHOR]

We study a generalization of both the classic single-dimensional mechanism design problem, and the hidden-action principal-agent problem of contract theory [c.f., Alon et al. 2021]. In this setting, the principal seeks to incentivize an agent with a private Bayesian type to take a costly action. The goal is to design an incentive compatible menu of contracts which maximizes the expected revenue. [ABSTRACT FROM AUTHOR]