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The concept of inexact computing has gained significant attention as a promising approach for digital processing, particularly in the field of computer arithmetic designs. 4:2 compressor leverage different compression features to compensate for the limitations of circuit-based design metrics by incorporating imprecision in computation. This paper presents analysis and comparison of 4:2 compressors using NAND gate logic and discuss the implementation of 8 bit Dadda multiplier using 4:2 compressor. The effectiveness of these designs is demonstrated through simulation results obtained using Verilog HDL language. [ABSTRACT FROM AUTHOR]

With the rapid growth of wireless communication technologies, such as 5G and beyond, electromagnetic simulation systems have become crucial for designing and optimizing wireless networks. In the stage of modeling the antenna structure, the annealed copper material was chosen as a lossy metal, and the electrical condition was fixed at 5.8e+0.7 s/m, and Young's modulus of 120 KN/mm2 was used, with a test Poisson's ratio of 0.33, the specific heat value of the prepared model was 390 [1/K/kg], The antenna shape used is T-shaped patch antennas MIMO for modern wireless applications, the two T shaped antennas are mounted on top of a 37 x 44 mm2, and the thickness of the copper layer for the T-shaped antennas is 0.035 mm, the unit cell is built with dimensions of 5.00mm width. 4.20mm and 3.45mm are external lengths. In this study, mutual coupling between two patch antennas is reduced by improving the isolation between those two T-shaped patch antennas, isolation is improved by using five metamaterial unit cells, the frequency of operation for these two antennas is 5.8GHz, Computer Simulation Technology (CST) software is used to simulate the results of the intended construction, return loss, realized gain, and the insulation achieved, surface current distribution at 0.0002, -18dB, (4, 5) dB,-24 dB, 375 V/m, respectively. [ABSTRACT FROM AUTHOR]

Rapid developments of low-profile, lightweight, and cost-effective antennas for wireless equipment have created a new obstacle for telecommunications designers. This article presents the design of a two-port multi-input and multi-output (MIMO) antenna with a single element operating at frequencies from 22 to 100 GHz. Using Computer simulation technology (CST) was utilized to simulate the antenna. In addition, a comparative analysis was conducted between various substrate materials, revealing diverse outcomes based on identical parameters. The main purpose of this study is to determine the most suitable materials for the layers of the proposed antenna that produce ideal results. The best results for all parameters were obtained using the Rogers RT-Duroid 5880 material for the substrate and copper material for the patch and ground layers. Specifically, the efficiency is 90.20206% with a gain of 11.60357 dBi. The mutual coupling coefficient (MCC) between the ports is -45.27243 dB, the envelope correlation coefficient (ECC) is 2.869467e-09, the diversity gain (DG) is 10 dB, and the voltage standing wave ratio (VSWR) is 1. Therefore, the antenna is more suitable for modern 5G and 6G wireless systems. Most importantly, the results showed that materials differ in electrical conductivity, so material properties are crucial in enhancing antenna manufacturing. [ABSTRACT FROM AUTHOR]

This article explores the advanced capabilities of metamaterial structures in enhancing isolation within components of a microstrip antenna. It discusses a dual-element, flower-shaped antenna system with multiple inputs and outputs (MIMO) for 6.1 GHz operation. The antenna elements are strategically spaced at 0.24 휆표, with dimensions of (82×23×1.6) mm³. A new way to separate them uses a CSRR metamaterial structure in the shape of a C placed on top of the FR-4 substrate and in the middle of the antenna elements. A protruding stub junction is also integrated into the partial ground plane alongside the resonant rings to improve isolation further. Simulation results demonstrate significant isolation of over 37 dB at 6.1 GHz among the antenna components. The system also exhibits a reflection coefficient of -45.46 dB, an envelope correlation coefficient (ECC) below 0.0001, a diversity gain (DG) of 10 dB, an MEG ratio of approximately 1, and a peak gain exceeding 4.64 dB. The designs were generated employing the Microwave Studio program for computer simulation technology (CST), affirming their suitability for 5G sub-6GHz applications. [ABSTRACT FROM AUTHOR]

Fast-growing computer technology and digital system integration complicate nano-scale binary logic circuit design. Ternary logic circuits offer an alternative to binary circuits in digital electronics, adding '2' to '0' and '1'. The added state reduces computational complexity, boosting system power and efficiency. This article discusses developing ternary logic circuits utilizing various nodes and semiconductor components. In addition, this paper explores the implementation of a ternary logic AND gate using the Cadence Virtuoso platform's VerilogA hardware description language. The implementation of a device model for a FinFET with a changeable threshold voltage of 18nm has been completed. The circuit has been adjusted to provide the desired logical output by manipulating the number of fins in the FinFET Model. The high threshold voltage (HVT) model exhibits superior performance parameters in terms of power and delay. The power delay product of HVT model is 56.7% and 31.8% lower than the LVT and SVT models respectively. [ABSTRACT FROM AUTHOR]

The junctionless field-effect-transistor (JLFETs) have been introduced as an attractive solution to mitigate the challenging fabrication of abruptly doped p-n junctions in conventional metal-oxide-semiconductor field-effect-transistors (MOSFET). Thecircuit application of a newly proposed double gate junctionless field-effect-transistor with recessed silicon layer in the channel (R_DGJLFET) has been presented. A 2-input digital XOR gate createdwith the R_DGJLFET has been implemented and its performance is investigated with transient analysis performed in technology computer aided design (TCAD) tool namely Silvaco Atlas. The R_DGJLFET reflects the anticipated transient behaviour successfully with full logic levels. [ABSTRACT FROM AUTHOR]

The digital literacy of special needs pupils at the "autism Bima" Pariaman special school is the topic of this study. Finding out how student use technology and the internet to communicate and engage with other is the aim of this study. In this work, a case study methodology is combined with a qualitative method. Data was gathered by observation, documentation, and interviews. In this study, twenty-two Bima Pariaman students with autism were the subjects. The NorthStar Digital Literacy Standard directs research participants' interactions with technology and the internet. According to the research findings, Bima Pariaman kids with autism are accustomed to interacting and communicating with the digital world through technology like computers, smartphones, and the internet. Students at Autistic Bima Pariaman utilize technology and the internet for social media, learning materials, entertainment, and communication. [ABSTRACT FROM AUTHOR]

The maturity of artificial intelligence technology has gradually matured robot technology. Robots have very strict requirements for motion control, especially the algorithm of motion control plays a crucial role in studying the application of robot control. However, in the process of robot operation, the control of actions cannot meet expectations, and there is a problem that the robot motion control is not ideal. Ordinary control algorithms cannot solve the problem of robot motion control in robot operation.a deep learning algorithm to analyze and operate on different action states of robots and establish a big data collection, which can use the data set to analyze the action control degree. Then, the computer technology forms a scheme for the requirements of robot motion control, and comprehensively analyzes the action control results. the condition of certain processing standards, the deep learning algorithm has better control over robot movements than ordinary control algorithms. [ABSTRACT FROM AUTHOR]

With the development of science and technology, transportation has become more convenient, people's means of transportation have slowly evolved from horse-drawn carriages to motor vehicles and non-motor vehicles, followed by frequent traffic problems, and the statistical collation of traffic accidents is a big problem. The birth of the traffic accident system has greatly solved this problem. For example, traffic accidents such as drunk driving, hit-and-run, and rear-end collisions will all be recorded, making it easier to inquire. It can be seen that the traffic accident system plays a very important role in the field of transportation, but there are still some unsolvable problems. Compared with ordinary optimization methods to solve the problems of traffic accident systems, artificial intelligence technology can better meet people's high requirements and more comprehensively solve many problems in traffic accident systems. Therefore, the use of artificial intelligence technology to carry out traffic accident system analysis. computer technology is used to collect, analyze, classify traffic accidents, and classify statistics according to the severity of traffic accidents. under the condition of certain processing standards, artificial intelligence technology is better than ordinary optimization methods for traffic accident handling accuracy and traffic accident statistical time. [ABSTRACT FROM AUTHOR]

Nowadays, society is in a period of drastic change and transformation, with the continuous transformation of society, it provides a very good opportunity for the transformation and development of music education and teaching in colleges and universities in China. With the rapid development of society, great importance is also attached to the education and teaching of college music, so the previous teaching cannot meet people's current requirements for college music, so teaching transformation is an inevitable trend. Ordinary transformation solutions cannot solve the problem of transformation results in college music education and teaching, and ordinary transformation solutions cannot comprehensively solve the problems and troubles faced after transformation. Therefore, this paper proposes a computer technology to carry out the transformation analysis of transformation results teaching. Firstly, artificial intelligence is used to design the transformation scheme of education and teaching transformation to factors in teaching transformation. Then, artificial intelligence designs the results of music education and teaching transformation in colleges and universities, forms an education and teaching transformation plan, and comprehensively analyzes the teaching transformation results. the condition that the transformation and reform standards are fixed, the feasibility of computer technology for the transformation and reform in colleges and universities and the rationality of teaching transformation are better than ordinary transformation schemes. [ABSTRACT FROM AUTHOR]

Under the impetus of today's environment, education and teaching have become particularly important, excellent education and teaching can cultivate more talents in different fields, but today's education and teaching can not adapt to today's education needs, so the reform of education is imminent. Among them, the path of reform is a crucial part of the reform of education and teaching, and in the context of today's artificial intelligence, the reform path of education can be determined by more advanced technology, and it can also be more reliable to solve the problem of unsatisfactory reform path. Because the previous treatment methods cannot solve the problem of whether the reform path in education and teaching is feasible. an artificial intelligence technology to analyze the path of education and teaching reform. Firstly, computer technology is used to analyze and determine the path of teaching reform, and the indicators are divided according to the requirements of the reform path to reduce the interference factors in teaching reform. Then, computer technology analyzes the results of the teaching reform path, forms the reform path scheme, and comprehensively analyzes the teaching reform. the condition of certain processing standards, the accuracy in determining the path of teaching reform and the feasibility of teaching reform are better than previous processing methods. [ABSTRACT FROM AUTHOR]

Breast cancer is the leading cause of death and also one of the most invasive types of cancer among women worldwide. This cancer occurs when cells in the breast begin to grow uncontrollably or spread throughout the body. Treatment efforts in the form of early diagnosis are the only salvation to reduce deaths from breast cancer. An expert system that is able to accurately classify breast cancer is an important task in medical diagnosis. Approaches using computing with various approaches and algorithms with different research results have been widely used. The purpose of this study is to review several studies that have been carried out using instruments in the form of aspects and categories to conduct analysis. This study is to see the extent to which the use of computer technology is used to diagnose breast cancer [ABSTRACT FROM AUTHOR]

The online blood donation management system will be used to establish a database of data about the donor and the blood donation organization. This application allows anyone who wants to donate blood to sign up, and this website allows organizations to sign up as well. Any regular customer who wants to order blood online can use this service, too. The admin is the principal authority with the power to add, remove, and modify as necessary. The online blood donation management system project's objective is to build a blood donation database online. When designing the whole Online Blood Donation Management System project, distributed client-server computer technology was taken into account. The role of the blood donation agent is to create an electronic database of information about the donor and the blood donation organization. The Online Blood Donation Management System allows anybody interested in donating blood to register themselves online. Any organization that wants to register itself on this website may also do so. Also, anyone who wants to buy blood online in general can use this service. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) is becoming more and more pervasive in every aspect of our lives as a direct result of the rapid advancement of computer science and technology. In recent years, the ability to recognize emotions based on facial expressions has emerged as a pressing requirement due to the enormous variety of applications it offers in artificial intelligence. These applications include human computer cooperation, data-driven graphics, human robot communication, and a great deal of other things. Severalworks have been done in relation to this topic because it is both a challenging and interesting problem in the field of computer vision. The purpose of this study is to design a facial expression recognition system that makes use of Convolutional neural networks and augments the data with additional information. This method is able to classify seven fundamental feelings from image data. These feelings include anger, disgust, fear, happiness, neutral, sadness, and surprise. Convolutional neural networks with data augmentation not only have greater validation accuracy than other current models, but they also aid to overcome such models' constraints. [ABSTRACT FROM AUTHOR]

In today's digital world, the usage of computers is inevitable. Poor posture, prolonged exposure to computer screens has been causing a lot of health impacts to everyone who is spending a considerable amount of time in front of the computer screen. Ergonomics is a branch of science that aims to reduce strain, stress, and injury through optimizing workstation design. In this project, certain computer ergonomic designs are employed digitally to mitigate the health effects. We use computer vision to keep the users more health aware while using the computers by keeping track of various factors like the distance between the user's face and the screen, and the user's sitting posture. Also, the famous 20-20-20 rule is implemented digitally which prevents the users from constantly looking at the computer screen by inverting the concept of screen proctoring. The user is motivated to physically move away from the screen at a user-defined time interval by preventing the user from proceeding with his task until the camera detects no person in front of the desk for a certain time-period. The user will be able to track all these activities in a dashboard where all data is visualized in the form of charts and graph. [ABSTRACT FROM AUTHOR]

The process of supervising students final assignments in the Computer and Network Engineering Study Program (PSTKJ) has obstacles that impact the slow process of preparing final assignment reports, namely the difficulty of PSTKJ in integrating the progress of the student final assignment guidance process. Apart from that, lecturers and students have obstacles in carrying out the mentoring process. Based on the identification of these problems, it is deemed necessary to design digital media for final assignment control so that it can function like conventional final assignment guidance. In this research, the system designed covers the scope of PSTKJ based on information and SOPs for final project implementation which can be carried out boldly and is designed using the Waterfall model. The application is designed with the MySQL Database Management System (DBMS) and the PHP programming language. From the results of the research that has been carried out, several conclusions can be drawn, namely: A digital media has been produced that can monitor student activities in carrying out their final assignments so that it can make it easier for the study program to link the progress of students' final assignments. Apart from that, this digital media makes it easier for students and lecturers to carry out final assignment guidance activities without having to arrange meeting times because the resulting system allows students and lecturers to carry out guidance or consultations without having to meet face to face. [ABSTRACT FROM AUTHOR]

Exploring Firewall Technology to Improve Computer Network Security in 5G Firewalls are essential for maintaining computer networks' high levels of security. Network security has drawn a lot of attention as a result of the increased usage of computer technology. In the context of a 5G environment, this article examines the value of firewall technology in securing computer networks. Inadequate base station deployment at communication cell boundaries is one vulnerability that the implementation of 5G mobile networks offers. This study suggests mobile network optimization tactics to deal with these issues. In order to propose numerous optimization methods that guarantee flawless network coverage and unbroken mobile communication, it looks into difficult communication scenarios in metropolitan settings. Additionally, the introduction of 5G will deliver fast, big-capacity, low-latency, and highly dependable services that affect how well local optical cable infrastructure and core systems are used. The paper emphasizes how effectively utilizing firewalls, which offer a high level of protection, has improved computer network security. Experimental results back up these conclusions, highlighting the crucial function firewalls play in maintaining complete network security in the 5G future. [1]. [ABSTRACT FROM AUTHOR]

In contemporary society, professional mobility serves as the primary mechanism for redistributing labor resources across different skill groups, ensuring the continual development of the regional labor economy. This study focuses on analyzing qualified labor resources, as their proper distribution within the regional labor market is crucial for sustainable socio-economic progress and innovative development of the economic system. The aim of this research is to systematize the factors arising from the digital transformation of the market system and establish a model-based approach to describing the changes in employment processes in the labor market during this digital transition. Studying the processes of digital transformation in the economy is of scientific interest because the innovative development of the economic system heavily relies on the level of labor market development, the extent of professional mobility, and the well-being of the active labor force. By dynamically modeling the movement and direction of qualified labor resources among centers that attract young professionals, it is possible to forecast the development of the digital economy in the short and long term. One of the outcomes is identifying the optimal level of investment in human capital at the higher education stage. Improving the well-being of young individuals involved in professional mobility after graduating from higher educational institutions accelerates innovative development by involving these individuals in the digitalization processes of the economy. Based on simulation results, it is observed that the specialties related to information technology, such as computer science and computer engineering, management in technical systems, computer and information sciences, electronics, radio engineering, and communication systems, are most successful in the market under the conditions of digitalization. However, in the long term, there will be a gradual decline in the relative level of remuneration for these specialties due to increased competition caused by a larger number of specialists in this industry. [ABSTRACT FROM AUTHOR]

One of the most used computer and storage technologies is cloud computing. This article's objective is to offer an affordable and secure platform for the personnel management system. Materials and Methods: There are a total of 2 groups in this study; group 1 analyses the message digest 5 algorithm (434 samples), whereas group 2 analyses the advanced encryption standard (434 samples). Each model's efficacy and accuracy are contrasted. Result: The goal of this essay is to make the algorithm employed in the personnel management system more effective. The suggested model looks to be more effective and quick than the current approach, and the mean detection accuracy is within one standard deviation. An independent sample T test yields a mean value of 1.3648 and a significant value of 0.226 (p>0.01). Conclusion: When the results of the advanced encryption standard method and the message digest 5 algorithm for the current system were compared, the proposed innovative standalone framework technique was shown to be more efficient (1.4 times faster) than the current model. [ABSTRACT FROM AUTHOR]

The aim of the study is to design a novel wideband rectangular microstrip patch antenna in comparison with circular patch antenna and analysis of return Loss and bandwidth of the novel wideband rectangular antenna using Computer Simulation Technology (CST). The total of 40 samples were used for the analysis of group 1 and group 2. Rectangular patch antenna is considered as group 1 and circular patch antenna is considered as group 2. The rectangular and circular patch antenna analyzed with the g power of 80%. Novel wideband rectangular patch antenna achieved the return loss of -34 dB, and bandwidth of 5.5 GHz in comparison with circular patch antenna achieved bandwidth of 5.3 GHz, return loss of -15.99 dB. The significance achieved by this analysis is p<0.05. The novel wideband rectangular patch-antenna achieved significantly better return loss, bandwidth, VSWR than the circular patch antenna designed and simulated using software simulated with computer technology. [ABSTRACT FROM AUTHOR]

Due to the widespread development of numerical methods for solving complex mathematical problems with the help of modern computer technologies, there is a real opportunity to obtain specific qualitative and quantitative characteristics of various complex dynamic processes. In this paper, when modeling the unsteady movement of water flow in water management facilities, the two-dimensional flow 5 in space is taken into account, which ensures the improvement of the qualitative and quantitative characteristics of objects, as well as the choice of their best parameters of objects for design and operation. [ABSTRACT FROM AUTHOR]

This research was aims to determine physic module included: a) described of physics modules-based problem-solving skills and b) showed validation of physics modules. This research was research and development that used Alessi and Trollip model included plan, design, and developtment. This subject of this research was electrical engineering students in Banjarmasin State Polytechnic who received learning material of Fisika Terapan. The data collection technique was observation and validation of module. The instrument used non-test instrument namely an observation sheet and validation sheet that used likert scale. This research has only at the development stage that was validation test by validators. There are 63 students as samples to get pleminary data. The validation of physics modul has using nontest instrument that has provided an assessment of material and media aspect. Analysis of validity has used the average scores of valdator then that was described by existing categories. Analysis of reliability has used Alpha Cronbach with SPSS program. The results of this research showed: a) They are 37 students of 63 students who filled out a questionnarie that showed never do practicum of physics, so physics module based on problem solving skills was developt. Every stage on problem-based learning had facilitated on module which can be run in smartphone, b) the average score of validators in material aspects has obtained the average value 4.50 (very good category) with reliability index 0.833 that means physics module has reliabel. the average score of validators in media aspects has obtained the everage value 4.14 (good category) with reliability index 0.714 that means physics module is reliabel. Based on the result, physics module can be disseminated for electrical engineering students who received learning material in Applied Physics. [ABSTRACT FROM AUTHOR]

The diverse motifs of Lampung Batik require an automated identification process using digital image processing technology. This research aims to identify Lampung Batik motifs by utilizing computer technology, particularly in digital image processing, to assist in recognizing these motifs. In this era of digitization, there are various object recognition methods, one of which is image recognition that utilizes GLCM feature extraction to obtain the characteristics of Lampung Batik motifs. After the feature extraction process on Lampung Batik images is completed, this data is used for classification. This study employs the K-Nearest Neighbor and Naïve Bayes classification methods, with a total dataset consisting of 300 images, comprising 150 images of "siger" motifs and 150 images of "sembagi" motifs. In testing with the K-Nearest Neighbor method, the highest accuracy is achieved at K = 3, approximately 77% for the training data and 81% for the testing data. Meanwhile, in testing with the Naïve Bayes method, an accuracy of around 96% is attained for both the training and testing data. [ABSTRACT FROM AUTHOR]

There have been several breakthroughs in new generation technologies such as edge computing, machine learning, and Artificial Intelligence (AI) which have broad applications in the smart grid. The smart grids are power networks that use modern monitoring, control, and communication technologies to deliver a dependable and secure power supply to consumers. In order to meet the reliability assurance concerns of complex systems, the digital twin technology, a hot topic in electrical and computer engineering, has been incorporated into the intelligent solution of the power grid system. It is hard to map the complicated system fully due to the lack of an operational application architectural model. Designers in the traditional method utilize computer-aided designs and tools to develop and forecast the life cycle as well as execute different physical testing processes. They optimize the design to enhance performance while lowering design costs. This paper elucidates the key concept of such virtual and digital systems concerning the smart grid. Moreover, the capabilities and applications of digital twinning are discussed in the paper. The paper also goes through the security concerns of implementing and the methodologies to tackle this issue. [ABSTRACT FROM AUTHOR]

In the context of the trend of continuous digitalization of the modern world, which is certainly due to the undeniable effective work with virtual productions that allow you to train personnel, or to predict the flow of the technological process. To achieve these goals, taking into account the development of process automation tools, modern computer technologies are being introduced using predictive neural networks. In addition, there is a constant combination of new digital technologies, such as the Internet of Things, not only in everyday life, but also in industry. This is all a consequence of the transition of the old QMS to a newer CMC, which requires more modern approaches for conducting technological processes and monitoring the quality of the products received throughout the production cycle. One of such approaches is the creation of digital twins (DT) of products and production. In addition, the processes occurring in a number of hydrocarbon production devices (electrolyzers, crystallizers, distillation columns, separators) are quite complex and insufficiently studied. This creates certain difficulties in the calculation of processes, their mathematical modeling and optimization. The tasks are complicated by the non-stationarity, nonlinearity, and multidimensionality of the processes occurring in the objects, with their low informativeness. Based on all of the above, it is easy to note that such productions are dangerous. [ABSTRACT FROM AUTHOR]

An Ultra-wideband (UWB) rectangular corrugated edges antipodal Vivaldi antenna (RCE-AVA) designed for through wall imaging applications is demonstrated. In this study, two distinct designs for antipodal Vivaldi antennas are reported: a conventional AVA and a rectangular corrugated edges AVA. In this study, a parametric-based analysis of both antennas is presented. At first, a conventional AVA with an elliptical shaped antenna is designed using FR4 substrate. Additionally, the antenna is modified with Rogers-5880 material by implementing same size rectangular corrugations on the edges of the antenna. Furthermore, the modified antenna provides stable gain and high directivity throughout the UWB band. The proposed antenna worked in the frequency rangefrom 3.1 GHz to 10.6 GHz with improved radiation properties. A maximum gain of around 11.8 dB is achieved with a return loss value of less than -10. Computer Simulation Technology (CST) simulation software was used to verify the design, parametric evaluation, and optimization of RCE-AVA. [ABSTRACT FROM AUTHOR]

Through Information Technology and computer-based learning, the Digital Era has transformed the learning paradigm from conventional to interactive and creative patterns. Education concerning information technology and computers is crucial for understanding the progression of time. Information Technology and Computers are crucial tools that people in the era of globalization must understand to avoid falling behind. For this reason, research was conducted using the K-Means Datamining technique in order to map the degree of Information Technology and Computer abilities in Indonesia by grouping the regions of Indonesia. The dataset was taken from the website of the Indonesian Central Bureau of Statistics at https://www.bps.go.id. The data collection consists of statistics on the proportion of Indonesian adolescents and adults aged 15-59 with information technology and computer skills by province. Processing datasets with Rapidminer software. This study employs the Davies Bouldin Index (abbreviated DBI) to determine the best number of clusters for mapping areas in Indonesia for Information Technology and Computer Skills among individuals aged 15-59. The test is conducted by locating the smallest value of the DBI, where the smallest value is 0.362 with 2 clusters. [ABSTRACT FROM AUTHOR]

Product design is an iterative process until an optimum design configuration is achieved. To confirm the fitness of the product for the purpose, the design of the same must be validated using engineering calculations which often exists for regular shapes or scenarios. Alternate design validation methods or either physical testing or use of Computer Aided Engineering (CAE) to validate the multiple de-signs conceived through iterative process for optimization. Reduction in number of physical tests or CAE based simulations can lead to time and cost savings. The present study proposes a method based on fusion of CAE with Artificial Intelligence (AI) to identify the critical conditions/scenarios to minimize number of simulations required for design validation which consequently could result in lean design validation. Such an approach which is based on study of historic data us-AI methods coupled with HPC (High Performance Computing)/Cloud could help in identifying the critical scenarios for design and there by guide in minimizing the time and effort required which can lead to significant cost savings compared. [ABSTRACT FROM AUTHOR]

This project focuses primarily on developing a student attendance management system using a Raspberry Pi machine with Deep Learning and Computer Vision technologies. The main objective of this project is to assist school authorities who are struggling to maintain student attendance, especially during this global pandemic of COVID-19. This is done by implementing technology of facemask recognition, Quick Response (QR) code as data identification, temperature detection, storing the data in the database, and lastly, user monitoring. In addition, students can protect themselves from Covid-19 disease using this method based on the Standard Operating Procedure (SOP) implementation. The initial stage of this system is recognizing whether the students wear masks properly or not. Then, the QR code is scanned to provide the identity of the students and the data is saved. The Raspberry Pi is programmed to continuously monitor students at the school entrance. The board is set up to collect temperature data from the K3 Pro device and eventually uploaded the data to the Google Sheet database together with QR code identity data. Later, the data can be viewed through an android smartphone and the system can be controlled by the school authorities in charge. Every single process of this system is run and updated based on real-time data recording. [ABSTRACT FROM AUTHOR]

The distribution panel is a safety device used to cut off electricity when a short circuit occurs. Inside the distribution panel there is a busbar system. The busbar is a component of copper bars that are shaped according to the desired path. Moreover, the busbar is supported by a busbar support which must be strong enough to withstand from mechanical impact caused by an electromagnetic force. Electromagnetic force can cause attraction between busbars. When the busbar support cannot withstand the busbar on its position, it can cause a short circuit. The distribution panel inside is designed with the busbar system and busbar support. After the design process is complete, the next step is analysis. The electromagnetic force that occurs is 4416.73 N, and the results of the comparison are σm > q.σmax. Based on these results, it is certain that the busbar will deflect when resisting electromagnetic forces. The results of the CAE analysis prove that the busbar is deformed in the form of a deflection of 64.814 mm and the maximum stress that occurs is 620.104 N/mm2. The results of the calculation analysis prove that the busbar is deformed in the form of a deflection of 56.036 mm and the maximum stress that occurs is 586.112 N/mm2. Based on the maximum deflection data, it can be seen that there is a gap between the outermost busbar surfaces. The gaps are 22.786 mm and 31.564 mm. The minimum gap specified for PT. Trias Indra Saputra standard products is 20 mm while the minimum gap according to IEC 61439-1 & 2 standards is 1.5 mm. Based on the research data, it can be concluded that the design of the 6300 A distribution panel is safe and does not fail. [ABSTRACT FROM AUTHOR]

In modern society information and computer technologies have penetrated all spheres of human activity, including the field of education. In the modern world, education is impossible without the use of computer technology. Proper use of gamification elements in education can ensure easy and successful memorization of educational material. The article deals with the issue of using computer games and educational platforms in teaching a foreign language. The conducted research proves that the systematic use of computer games and educational platforms contributes to the creation of a situation of success, the formation of emotionally positive motivation for learning, stimulates the achievement of the goal, and provides a comfortable state in the classroom. The use of computer technology in teaching meets the interests of the modern generation of students, makes it interesting, memorable, and effective. [ABSTRACT FROM AUTHOR]

In this paper, a study is based on the cryptography technique for computer science engineering and it is used to transfer readable text into another form that can't be easily understood. Scientifically, it is a technique that involves the study of formulas of mathematics and protecting the information which secures the data. The information can be confidential, authentic, have access control, data integrity, non-repudiation, etc. It is used by mankind to transfer confidential messages without any corruption in the message. Cryptography has changed quickly in little time. Also, this paper discusses the terms used in cryptography, the types of cryptography, and the comparative analysis between them. [ABSTRACT FROM AUTHOR]

The subject of the study is the methods of design and computer modeling of images in the subject area of design objects, namely, jewelry, considered as a visual-symbolic cognitive information dynamic system with a locally stable structure. [ABSTRACT FROM AUTHOR]

Mostly, the Personnel Information Applications required the human name as a full term in all human resources submissions. The full name attribute consists of five parts: First name, Second name, Third name, Fourth name, and Family name. Most queries require to display the name of any person in a variety form to reply the requested demand of this type of information, this type of requests involves amount of storage in both memory and a secondary storage, in addition to significant CPU processing time [1]. In this paper an attempt to optimize the storage requirements and processing time requested to deal with person full name efficiently. Due to the processing name as, composite attributes need some attention during all stages that concerns this type of data such as: insertion, update, arrange, delete, truncate...etc. In most human resources applications, name of an individual starting of his/her birth date need to be recorded correctly in many applications: Either social and business, and must be kept in save and secure places, even after the person death. Normally person name in most computer system is a variable size field and usually it requires range of characters between 20 – 40 characters: each character require one byte. The experiment of the suggested method shows significant reduction in both storage and processing time, where for a dataset of 6904 persons full name requires 2000 Parts Names in the index Names, while if the number of records in the application reach several millions records the size of index will remain approximately constant. The optimization factor in storage very high and it might be exceed 98%, and it is proportional to the numbers records volume of the information in a database files, and the limit of integer type of two Bytes (uint) which can accommodate number of part names code equal to (216 – 1), for value range between 0-65535. Also, the optimization will directly affect the processing time in both off line and on-line applications systems, especially nowadays the computer technology have been offered a power of parallel processing in both Hardware and Software. [ABSTRACT FROM AUTHOR]

The article highlights the role and features of the study of the functioning of the English language in higher education. The state of education in the Republic of Uzbekistan and the development trends of society are the most effective problems of the advanced development of the education system based on computer technology and the creation of a unified educational information environment. With the rapid development of science and the rapid updating of information, it is impossible to study all your lifetime, it is important to develop an interest in obtaining knowledge for continuous self-education. The main objective of the training is to achieve a new modern quality in the upbringing of the modern, young generation. [ABSTRACT FROM AUTHOR]

Object localization, computer vision, video reconnaissance frameworks, and other applications all depend on image processing techniques, which are a basic component of today's computer technologies. Image segregation is a crucial step in image handling. The most popular method for breaking up images into several little pieces called fragments is termed image segregation. Image handling makes to work on the image portrayal to break down the images. A vast array of algorithms are created for segmenting images based on the unique characteristics of each pixel. In this paper various algorithms of Segregation can be evaluated, examined lastly drill down the examination for every one of the algorithms. This correlation study is helpful for expanding precision and execution of Segregation strategies in different image handling areas. The objective of the paper is to study on examination inside a wide image and study on Image segregation. [ABSTRACT FROM AUTHOR]

The public transportation buses provide dense connectivity for the majority of the stretches of the road network. Advanced Public Transportation System (APTS) provides computer and electronics technology based solutions to increase the reliability and efficiency of the transportation system. In this paper, the APTS solutions for automatic bus-stop detection, arrival time prediction, bus crowdedness detection, bus scheduling, road condition monitoring, and road infrastructure detection are presented. The solutions consider the scenarios of the developing countries with a focus on large scale deployment. The scalability is achieved by executing the minimal computation in real time and the other computations in an offline mode. The proposal is expected to improve commuters' experience and aid transportation agencies, road monitoring programs, and navigation applications that use road infrastructure information. [ABSTRACT FROM AUTHOR]

Using the statistical method by Monte Carlo, the procedure for determining the probability of brick constructions' destruction due to the capacity exhaustion under flexure is developed. Based on the proposed methodology, an algorithm is elaborated; and a computer program designed to solve such probabilistic tasks is written. Calculations to determine the probability of brickwork destruction are performed. It is elucidated that the value of the probability of destruction of brick structures for the basic service life corresponds to the minimum values of the reliability, recommended by current regulations and Eurocodes. [ABSTRACT FROM AUTHOR]

This paper evaluates main functionalities of video conferencing platforms in terms of their application in engineering education. The results of a study among students from Trakia University - Stara Zagora, Bulgaria are presented. The purpose of the paper is to determine which functionalities of video conferencing systems the surveyed students find most necessary in training and assessment in electrical engineering. The aim is not to rank the platforms and find the best, but to recommend to lecturers the use of certain functionalities. The obtained results can facilitate the process of software selection by users and guide developers in the current preferences and needs of customers. After analyzing the results of the research, it was concluded that students attach the greatest importance to the functionalities related to the possibilities for presentation and access and integration of the software. Three functionalities are identified as the most useful. Their implementation in one of the most commonly used in education in Bulgaria video conferencing tools, Google meet, BigBlueButton, Zoom and MS Teams, is compared. [ABSTRACT FROM AUTHOR]

Around the world, many different languages are spoken, each with a unique writing style. A challenging problem requiring substantial research and cutting-edge computer technologies in image processing is identifying the author of a handwritten text document. In past years, different dataset for character recognition, word recognition, and recognition of writer were reported in the literature. Keeping this in mind, the study introduces the researcher's contributions to writer identification strategies on diverse datasets and techniques. This study's primary goal is to discuss writer identification systems' work on various Indian and non-Indian languages based on various machine and deep learning techniques. The paper also discusses many stages of the identification process to assist researchers in the field of identification by giving analyses of various preprocessing approaches, feature extraction methods, and classification strategies on both Indic and non-Indic scripts. [ABSTRACT FROM AUTHOR]

It is important to acquire an early Autism Spectrum Disorder (ASD) diagnosis which can lead to early intervention. However, ASD assessment is based on behavioural measures which are usually subjective and cannot provide a diagnosis before the age of three. Autism research is characterised by interdisciplinarity, and Computer Engineering has contributed to it by offering technologies such as Robotics, Internet of Things (IoT) and Artificial Intelligence (AI). In the present study, Random Forests with Transfer Learning and Deep Neural Networks were implemented for autism detection employing the Autism Screening Adult Dataset acquired from the University of California, Irvine (UCI) Machine Learning Repository. Random Forests with Transfer Learning and Deep Neural Networks attained an ASD classification accuracy of 98.9% and 99.8%, respectively. Therefore, the method applied in this study showed that Machine Learning could offer promising methods for early, objective and accurate ASD classification compared to conventional autism assessment methods. Limitations and recommendations for future research are also included. [ABSTRACT FROM AUTHOR]

The aim of study is to design and analyse the novel narrowband rectangular microtrip patch antenna by varying FR4 substrate height for efficient return loss and it is compared with circular patch antenna. The design of the antenna is done in the simulation software called Computer Simulated Technology. Rectangular patch antenna and circular patch were considered as group 1 and group 2. The required parameters for the designing the antenna are FR4 substrate height and dielectric constant. For the rectangular patch antenna FR4 Substrate height is increased from 1.6mm to 2.5mm and for circular patch antenna the FR4 height is taken as 3.2mm. The return loss of antenna is improved by varying the FR4 substrate height from -45.14dB to -28.25dB and compared with the circular patch antenna of return loss -30.86dB. The obtained significant value for return loss of narrowband is (p<0.05). In this study, rectangular patch antenna return loss is significantly higher than the circular patch antenna which was simulated using Computer Simulated Technology software. [ABSTRACT FROM AUTHOR]

Cloud technology has garnered hefty prominence in recent years due to its incessant demand. Switching to cloud technology has a wealth of advantages for corporations. Over the years, the data market and the number of internet users have exploded at an unforeseen rate. Traditional computer technology can no longer keep up with the expanding number of internet users. This vast expansion on the internet facilitates individuals and businesses to store data in private or third-party warehouses that are located far away from the users/organizations in a different state or country. Cloud computing is a complex computer technology sector that enables the extension of computing services at a low cost and with a lot of flexibility. According to estimates, the global cloud service business will reach $1,620,597 million by 2030, rising at a 15.8% compound annual growth rate (CAGR). Along with its many benefits, cloud computing has several security challenges, including client and association vulnerabilities, which are preventing its mass adoption. The security posture of cloud systems is divided into numerous areas in this study. In ad dition, researchers have classified the identified cloud security issues into the relevant categories. Since many security issues are interconnected, so researchers have developed relationships between these categories and the security issues that are addressed in this study. This study aims to accoutre a secure cloud computing platform by assessing cloud problems, identifying correlations between issues, and mapping issues to vulnerabilities across numerous cloud components. [ABSTRACT FROM AUTHOR]

In the present world of advanced technology, we are entering a new era of computer technology, the full form of IoT being the Internet of Things. The Internet, a revolutionary invention, is constantly evolving into some new kind of hardware and software that has made it inevitable for everyone. IoT is a kind of global neural network in the cloud that allocates a lot. The communication system we see is person-to-person or device-to-person, but the IoT offers better future for the Internet, where communication type is machine-to-machine (M2M). The purpose of this study is to provide a comprehensive overview of the IoT display and its enabled technology and sensor network. This paper covers the subject matter, features, basic requirements and applications of IoT. The primary purpose of this research paper is to deliver an idea of the development and use of the IoT, its structure and advantages and disadvantages. [ABSTRACT FROM AUTHOR]

Due to the high-dimensional circuit simulation, efficient performance modelling of today's analogue circuits is a critical but difficult task. To overcome this problem, we offer a unique performance modelling approach based on the Radial Basis Function in this study. The basic concept is to use data gathered at an early stage to help with efficient performance modelling at a later level. This is accomplished by using Radial Function inference to statistically estimate the performance association between early and late phases. This study thoroughly considers four implementation challenges, including previous mapping, lacking prior information, fast solver, and prior and hyper-parameter selection, in order to make the suggested method feasible. The radial basis function network uses a radial function as its transfer function. One of the advantages of RBFNNs is that they take less time to learn than current neural network architectures, making them useful in situations where speed is important. The brain computer was designed using an analogue-digital hybrid design, which is efficient and accurate. There are three contributions to the proposed RBFNN-GP. To minimize the error in a dataset, a local generalization error bound can be calculated by adding the sample mean and variance. To increase the generalization capacity of the brain, the self-organizing structure approach is established. Additionally, the study's results were based on a circuit's sensitivity, which means that the impact of the study's findings may vary depending on the circuit. The convergence of the proposal comes in third. In theory, RBFNN performs well when it comes to adjusting a structure's parameters. Two numerical simulations and a real-world application show that it is better than some well-known methods. The results of the comparison confirmed that RBFNN is effective. [ABSTRACT FROM AUTHOR]

Research is a crucial component for every member of the faculty, including Ph.D. candidates, students enrolled in different undergraduate and graduate degree programmes offered by universities, and numerous accrediting procedures linked with both the institution and universities. Several publishers, in an effort to be of assistance to the researcher community, have developed services known as "Journal-Finder." In this article, we have taken a set of keywords from the field of IT data science and run them through a number of different "Journal-Finder" services to see which one works best when all of these keywords are given as input, along with the other necessary details, and how effective these services are for the specific domain. Our focus is on "distributed incremental clustering," which is a subfield of "distributed incremental clustering," which is a subfield of "machine learning," "data mining," "artificial intelligence," and "general computer engineering related topics." Thus, the researchers who are now researching in this specific field will gain from this. But, people working in similar fields will also get a helpful list of journals and information about them, allowing them to complete the journal in a rapid and efficient manner. In anticipation of this growing need for information regarding journals from many different publishers, we'd want to make available the JournoMetrics terminology system. [ABSTRACT FROM AUTHOR]

As one of the educational institutions in the city of Bandung, Igasar Pindad Vocational High School Bandung has begun to utilize information technology, learning support facilities in schools are expected to be able to support the student learning process within the stipulated time period. One of the facilities to support student learning in schools is a computer laboratory. The Computer Laboratory of Software Engineering Vocational High School Igasar Pindad Bandung plays a key role in harnessing students' abilities. An academic educational process that focuses on hands-on activities to develop a Software Engineering specialization at ten grades, eleven grades and twelve grades related to software design, programming and supporting databases. The impact of several existing IT services as the application of information technology systems by only paying attention to temporary needs and the discrepancy between business processes and practicum academic goals, allows the application of information systems to overlap and the existence of sub-systems that are different from one another. Based on these problems, the Computer Laboratory of software engineering at Igasar Pindad Vocational High School Bandung requires enterprise architecture design using the stages in TOGAF ADM. The results of this research will be the blueprint of the architecture that is made. The blueprint that will be made will be an integral part of the development of information systems and technology at the Computer Laboratory of software engineering at Igasar Pindad Vocational High School Bandung. [ABSTRACT FROM AUTHOR]

Current learning process for digital system course in Computer Systems Engineering, Prasetiya Mulya University utilized basic digital IC as tools to enable student experimenting with digital circuit. However, in recent years, the decreasing price of FPGA makes it as a good candidate tools for teaching digital system. FPGA has advantages over digital ICs due to its capability to be programmed and simulate more complex systems. In this work, the possibility of using FPGA to enhance the understanding of digital system material was analyzed. From the experiment, results obtained show positive contribution on raising the students' interests and understanding of digital and embedded systems in general. [ABSTRACT FROM AUTHOR]

Curriculum change is one of the challenges in the daily practice of education. In The Vocational High School of Computer and Networking Engineering majors as particular, the curriculum changes provide an update on Core Competencies and Basic Competencies (KIKD). Some of these changes include the emergence of core competencies in reviewing fiber optic networks, using fiber optic work tools, making fiber optic connections, repairing fiber optic networks and so on. The consequence of the emergence of the KIKD renewal is that teachers are required to improve their competence in the field of fiber optics. Currently, learning related to fiber optics is only given theoretically. This is due to the lack of teacher competence and limited support for tools and materials for fiber optic practicum. Based on the nature and purpose, the research uses the Research and Development (RnD) method. Therefore, a solution is needed so that KIKD needs can be met in accordance with the new adapted curriculum. We found that more than 75% of teachers stated that they could adapt better by participating in the workshop activities. So that, this program has provide fiber optic workshops to Vocational High School teachers of Computer and Networking Engineering majors in Purwakarta with the acceleration in the adaptation of the new curriculum for them. [ABSTRACT FROM AUTHOR]