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The Tele care medicine information system (TMIS) enable patients to gain admission to healthcare services over long distances. Patients and physicians seek medical information over an unsecured public channel. On the one hand, storing medical information in servers facilitate medical diagnosis, thereby, optimizing the use of digital health assets while on the other hand data is susceptible to various attacks. Thus, it is necessary to ensure data privacy, integrity, and confidentiality in TMIS system. Multiple approaches have been suggested for this purpose to authenticate the medical data, but there is still a systemic gap that has to be filled. In this paper, we will show the future scope of tele-medical healthcare and that is metaverse. Metaverse is a combination of digital technologies like virtual reality, augmented and physical reality. It has a role in healthcare as metaverse technology will provide more accurate data within the virtual world. [ABSTRACT FROM AUTHOR]

"Virtual is Reality". Human beings always want to achieve more and more, want to explore more and more. Whether it is an area of Medical Science, Automotive, History Science, or Universe. We are presenting this paper to explore the Digital World's main areas called the Metaverse. Since 2020 during and post-COVID digitization keep pace in almost all domains and now it is part of human life starting with Online New papers to online classes / online medical consultancy, online payments, and many more. COVID restricts human beings, especially tour tourism & traveling, Metaverse is one of the key mantras which make it possible for a human being to travel anywhere without leaving his/ her place. But, does Metaverse has also any restrictions? Does Metaverse have any rule/regulation/policy framework on usage? Does Metaverse meet the service quality? [ABSTRACT FROM AUTHOR]

To protect user data and digital infrastructure ethical hacking has become a tool, in the changing field of cybersecurity. This introductory passage provides an overview of a paper that delves into ethical hacking from 2015 onwards. It explores categories of hackers such as hat, black hat and grey hat hackers while also discussing the moral dilemmas and challenges associated with their actions. The paper emphasizes the importance of strengthening cybersecurity measures examines security breaches and recognizes the role played by ethical hackers in combating cybercrime. Additionally, it sheds light on the approach taken towards hacking education and addresses potential risks involved. Furthermore, the paper offers insights, into how vulnerability assessments have evolved within research. [ABSTRACT FROM AUTHOR]

In cases where the country's economy is preparing for complete digitalization, the agro-industrial complex asks for a significant "reset", considering the existing threats and opportunities. This implies the diversification of academic papers with an emphasis on digital technologies, specialist training capable of working in agriculture and the processing industry on modern equipment using specialized software. The authors highlight and analyze the main trends, the focus on which will speed up the transformation of research, innovation and educational processes. The above is also true for the national projects and programs "Science and Universities", "Digital Economy", "Staff for the Digital Economy", and the departmental project "Digital Agriculture". The urgency of conducted studies and conclusions drawn by the authors is due to the following: modern agrarian science is a fusion of fundamental and applied academic and innovative research to enter the global agenda and respond to existing challenges. Therefore, agrarian science should be provided with experts in various fields who are able to formulate and solve urgent problems to meet the global trends in the agricultural development. It is impossible to make predictions regarding the digitalization efficiency of agriculture without this. [ABSTRACT FROM AUTHOR]

In the era of the digital revolution, artificial intelligence (AI) has the potential to alter the way we live, work, and communicate in this age of the digital revolution. Although everyone wants to be the leader in this technology, adoption hurdles and problems with its use exist in a variety of industries due to variations in everyone's readiness and usefulness. Through a thorough analysis of the current literature, this paper aims to show the contributions AI has made to logistics and supply chain management. This study aims to identify the present and possible AI benefits and challenges that affect the study and practice of logistics and supply chain management in order to fill the current scientific gap of AI use. These contests also have a range of economic repercussions for organisations and countries. Overall, this paper offers compelling evidence that the use of AI has a major impact. The study's findings will assist academics and professionals determine the importance and implications of using AI. The paper offers understanding through systematic literature review. [ABSTRACT FROM AUTHOR]

The research paper titled "Modern Digital Solutions Integrate People, Technology, and Procedures into a Whole Healthcare Ecosystem" delves into the transformative power of digital solutions in healthcare, emphasizing the crucial integration of people, technology, and procedures. In the context of the book "Analyzing Current Digital Healthcare Trends Using Social Networks," this research paper provides a comprehensive exploration of the changing landscape of healthcare delivery, with a particular focus on the role of digital solutions and their impact on the healthcare ecosystem. The healthcare ecosystem is a complex web of stakeholders, including patients, healthcare providers, payers, and regulators. This research paper begins by defining the healthcare ecosystem and underscoring the evolving role of technology within it. With the introduction of digital solutions, healthcare has witnessed a paradigm shift, aligning itself with the broader digital transformation seen in various industries. The digitalization of healthcare extends beyond electronic health records (EHRs) and encompasses a wide array of technologies, including telemedicine, wearable devices, big data analytics, and artificial intelligence. These technologies are catalysts for redefining how healthcare is delivered, accessed, and experienced. At the heart of this transformation is a renewed focus on people-centric healthcare. Patients are now empowered to actively participate in their care, with access to their health data and personalized healthcare experiences. The integration of technology and the shift toward patient-centric care models foster a healthcare environment that is more responsive and patient-driven. The research paper explores the remarkable technological advancements that are driving healthcare innovation. It delves into the role of data analytics in healthcare decision-making, offering insights into how big data is shaping healthcare policies, improving patient outcomes, and reducing costs. Furthermore, artificial intelligence and machine learning are revolutionizing diagnostics, treatment recommendations, and predictive healthcare, thus maximizing the potential for precise, personalized care. In addition to empowering patients and advancing technological frontiers, digital solutions streamline healthcare procedures. Healthcare organizations are optimizing processes, reducing administrative burdens, and enhancing efficiency. This results in improved healthcare access, shorter waiting times, and better resource allocation. [1] Real-world case studies are presented to demonstrate the real impact of digital solutions. These cases highlight how healthcare organizations successfully leverage digital tools to achieve improved patient outcomes, cost savings, and operational efficiency. Key lessons from these cases serve as valuable insights for stakeholders navigating the evolving healthcare landscape. However, this transformation is not without its challenges. Privacy and security concerns in the digital healthcare landscape and regulatory and legal issues are explored. Ethical considerations and data ownership are also scrutinized, emphasizing the need for comprehensive frameworks to ensure the responsible and ethical use of digital healthcare technologies. As we gaze into the future, this research paper forecasts the evolution of healthcare with the ever-advancing digital solutions. Emerging technologies and trends are discussed, and the role of social networks in facilitating healthcare collaboration and information sharing is highlighted. In conclusion, this research paper underscores the imperative for healthcare to embrace digital solutions and the holistic integration of people, technology, and procedures. It charts a path towards a healthcare ecosystem that is not only efficient but also profoundly patient-centered and collaborative, reflecting the changing landscape of healthcare delivery. [2] [ABSTRACT FROM AUTHOR]

The digital era has brought with it the rapid advancement of technology, with rising innovations with their own challenges. This has affected even the bubble of Cybersecurity wherein there has been a rise of profile theft cases in both quantity and the complexity of approach. It has forced the integration of Artificial Intelligence and the variant of Machine Learning to be involved in handling these numerous cases on the rise in everyday life. This paper embarks on a Survey to understand, analyze and theorize on methods in order to dissect the multifaceted roles that these two concepts play in the fortification of the digital realm against the overarching threat of Profile Theft among others. The paper will include understanding the methods of approach different papers have had in various fields on Information Safety within the Cybernet domain, the advantages and disadvantages, the fallacies and errors that will linger on and how one can begin to prevent them and how to build on their faults. Based on these results and after a greater grasp within this subject, propose the structuring of a framework that could have a possibility of integrating all that was learnt. This paper aims to learn from the previous peers and to improve on their knowledge for the conceptualizing a better system for an individual on the Internet. [ABSTRACT FROM AUTHOR]

Managers are entitled to massive quantities of information in the digital era. Data analytics refers to databases that are vast, exceedingly diversified, and continuously changing, making it tough to alter them using standard tools and approaches. These data sets are expanding quickly, so it is necessary to investigate and implement ways to process and derive worth as well as familiarity from them. Governing members need to be capable of generating intelligent inferencesfrom a range of constantly evolving information sources, like data from social media, transaction data, and consumer connections. Data analysis, which uses sophisticated analytical techniques on the data, can be used to produce this value. This project attempts to study some of the numerous analytical approaches and tools that may be employed with metadata as well as the potential afforded by applying data analysis in diverse decision-making scenarios. WhatsApp has established itself as the most widely used and effective platform for interacting in recent times. It facilitates diverse interactions among people, covering a wide spectrum of topics. The wealth of information exchanged on WhatsApp contains immense value for cutting-edge technologies like machine learning. The crucial aspect for a machine learning model is to receive accurate and pertinent data, which is greatly influenced through the information provided to the model. This program seeks to thoroughly investigate the data derived from WhatsApp conversations. Regardless of the subject of discussion, our generated code can be leveraged to obtain deeper insights from the data. The tool's advantage resides in its use of simple Python modules like pandas, matplotlib, seaborn, and text analytics. These packages facilitate in constructing structures for data and generating various plots and graphs, which are applicable to large datasets. Consequently, the tool provides practicality and efficiency with little resource consumption. Recruitmentis a challenging procedure, where the initial task for recruiters is to sift through resumes. Today, many organizations prefer online employment application in comparing to paper resumes. This paper provides an effective Business Recommendation System that assist employers to pick the most suitable person for specified occupation title using information extraction and machine learning technologies. When applicants input their applications, then based on the firms needs for the job chances, the candidate's resume receive ranking. The grading isavailable for the employer to get most favored candidates. [ABSTRACT FROM AUTHOR]

The main objective of image compression in the digital era is to reduce the size, of irrelevant and redundant data in digital images. this is able to keep and transfer the image in an efficient manner. In the present digital world, multimedia files have large sizes and consume a lot of space, and are also very difficult to transmit. Image compression plays a prominent role to reduce the size of the images and transmit such compressed data in a permitted time duration. This paper addresses image compression using machine learning methods. Machine learning is one of the subsets in artificial intelligence, in recent days machine learning plays prominent role in image processing. Using machine learning algorithms in image compression provides better-quality images and improves the different performance metrics. This paper attempts a study various machine learning algorithms as well as image compression techniques. [ABSTRACT FROM AUTHOR]

In recent years, with the increase of online learning platforms, obtaining learning behavior data from students, are becoming easy. However, analyzing the data to extract meaningful information remains challenging due to the data volume and complexity. Here, we apply Self-organizing Maps (SOM) to visualize the learning characteristics of many elementary students over many online assignments in mathematics class. As a case study, this research used the data log of MONSAKUN, a digital learning environment that focuses on exercising arithmetic using story-based questions by using a problem-posing approach with the integration of mathematical sentences. Our primary objective is to give intuitive understanding to the teachers regarding the students' performance that subsequently allows the teachers to generate meaningful advices. Here, SOM generates a two-dimensional map that preserved the topological order of high-dimensional learning characteristics data, in which students with similar learning characteristics are located close to each other, while students with significantly different characteristics are distanced from each other. We are interested especially in locating low-performing students, as they are the most important to be given advice by the teachers. By locating the low-performing students and other students in their vicinity on the map, the teacher may be able to use other students as references for improving the low-performing students' performances. The idea is to mimic the learning characteristics of the students designated as references. Due to the learning characteristics similarity, the low-performing students do not need to make drastic changes in their learning styles. It can be expected that by iterating this process over many assignments, the students' performances will gradually be improved. In this paper, we utilized a digital learning platform MONSAKUN, for learning arithmetic used in Japan. In this paper, we present our preliminary results in the form a learning-visualization of characteristics students of analytical and advisory tools and described our future goals for building a more flexible and general tool that can be deployed in Indonesia. [ABSTRACT FROM AUTHOR]

This paper presents a comprehensive survey and analysis of recent advancements in image encryption, steganography, and data security, with a focus on the application of Machine Learning (ML) algorithms in image optimization. The survey covers a wide range of topics, including the utilization of Convolutional Neural Networks (CNNs) for steganalysis, adaptive steganography techniques for Industrial Internet of Things (IIoT) security, multi-modal biometric steganography for healthcare data protection, cryptographic and steganographic fusion in Internet of Things (IoT) security, and innovative algorithms for data encryption and steganography. It also includes a comparative study of various steganography techniques, explores the integration of intelligent optimization algorithms in IoT steganography, and introduces novel approaches such as pseudo magic squares and diamond encoding for high payload capacity and imperceptibility. This comprehensive review highlights the transformative potential of ML in optimizing the visual data landscape, fostering greater efficiency and quality in an image-centric digital world. [ABSTRACT FROM AUTHOR]

Digital transformation has become essential for every organization in the current digital era. However, the importance of lecturer digital competence in supporting universities' digital transformation is still underexplored. Drawing from Social Cognitive Theory, this study aims to propose a conceptual framework that explains the role of digital competence, self-efficacy, and lecturer performance in supporting digital transformation in universities. The method used for this conceptual paper is a literature review, including journal articles, conference proceedings, and books. After conducting an extensive review, this study finds a framework that proposes how lecturers' digital competence can enhance their self-efficacy and lead to improved performance. A comprehensive understanding of the resulting framework can provide valuable insights into the factors that affect digital transformation, particularly in university organizations. [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 practice of leading countries, digital transformation implies a sectoral principle of support for the introduction of new technologies. At the same time, programs and projects can be built both on the principle of implementing a single promising group of in several industries, where it is especially relevant, and, conversely, provide for the digital transformation of a particular industry through the forceful introduction of a multitude of technologically diverse solutions demanded in a given sector of the economy or social sphere. of a given sector of the economy or social sphere. Digital transformation affects a wide range of industries and organizations, from the most advanced in terms of digital adoption (e.g., financial services) to the more conservative real sector; this paper examines digital transformation in the agro-industrial complex (agriculture). The key task of digital transformation of agriculture is to extract value from the collected big data about the internal and external environment. The foundation for this is cloud platforms, big data solutions, predictive analytics technologies, and decision support systems decision support systems. [ABSTRACT FROM AUTHOR]

In an era dominated by digital communications and the increase in social media platforms, the exchange of sensitive information has become vulnerable to security violations and attacks of various kinds, which has led to the spread of leaked documents and the circulation of important decisions. All this led to the urgent need to find a robust way to maintain the privacy, confidentiality and integrity of transmitted data. In this paper a new method was designed in order to offer a multi-layered of data confidentiality sent via digital channels and avoid unauthorized access. The proposed method consists of two stage encoding text data and encrypting audio signals. In the first stage, the text data are mixed with random key bits and converted into Morce audio signals. The audio signals are encrypted using Advanced Encryption Standards (AES) in the second stage. The decryption process is performed in reverse to the previous steps. The results showed that the average value of the SNR difference between the original file and the encrypted file is 25.89, while the average value of the SNR difference between the original file and the decrypted file is 0.47. Which means lower Intelligibility of the encrypted file and higher quality of the decrypted file. Thus indicate the effectiveness of the proposed method that preserving time consumption into 0.46 seconds. [ABSTRACT FROM AUTHOR]

This paper focuses on security and privacy of personal data that have become major concerns for the public in this information and digital era. With the increasing public awareness of the potential risks associated with sharing personal information with third-party applications, there is a demand for a privacy-focused budget or data tracking application with robust security measure to protect user's sensitive information from cyber threats, such as data breach, data theft and unauthorized access. Safe Budget is proposed as a solution to improve data security in existing budget tracking applications or any data tracking application to safeguard the confidentiality and privacy of user financial data throughout the application. [ABSTRACT FROM AUTHOR]

In this paper, we find a solution to the "digital twin" problem i.e., how to completely or exactly represent an object so that we can represent it digitally, where the model behaves and looks like the real-world object. This solution not only addresses the digital twin problem but also enables a generic representation of the Universe. Once we solve this problem we dwell into the phenomenon of "Being" and quantify the quality of "Being" or "Existence". A theory is provided as to how the Universe originated from Nothingness. Furthermore, we represent the Universe through a matrix-based equation. The interpretation of this equation explains how "Existence", creates, sustains, destroys, and controls the Universe. Additionally, the law of action and reaction is explained, or the natural consequence of any action performed by a subject. [ABSTRACT FROM AUTHOR]

In this digital era, people are likely to forget about their physical health, so that many diseases can attack them. One of the diseases they often suffer from is a disease caused by nervous disorders, stroke. Stroke has long-term impacts on the person experiencing it. Some of the therapies required for post-stroke rehabilitation are physical therapy and occupational therapy by practicing several active movements such as walking slowly (even if you are still using assistive devices), holding, etc. One part of the body that needs training is the muscles of the hands and fingers, with the aim of returning the condition of the hands and the movement of the fingers to normal. So, the assistance of a robotic finger arm or Prosthetic Robotic Arm is needed. One of the efforts to develop a robotic finger arm assistance is finger movement estimation. One reliable estimation method that frequently used is the Extended Kalman Filter (EKF) method. In this paper, the study was conducted regarding the comparison of two simulations, that is, the simulation by the EKF method of the movement of the middle finger on the right hand and that of the middle finger on the left hand. And, the simulation results showed that it has an error of around 3-7%. [ABSTRACT FROM AUTHOR]

After more than a decade of progress towards Industry 4.0, digitalization continues its steady advance, particularly with regard to the modernisation and digital transformation of existing production facilities. The targeted use of methods and tools enables systematic planning of a networked factory that takes numerous framework conditions into account. This in turn contributes to the successful fulfilment of operational goals as well as social and economic functions between the physical and virtual worlds. In the course of the digital transformation process, new types of systems are emerging that are becoming more complex, interactive, autonomous and powerful. With the help of cyber-physical systems, physical devices and processes can be equipped with computing and networking capabilities and connected to a data and knowledge structure that is ultimately integrated into the manufacturing process. Manufacturing processes are optimised and adapted through the use of algorithms for big data and advanced technologies. In this dynamic development, self-adaptive, self-learning and autonomous systems can help to successfully overcome the challenges of rapid technological progress and increasing product complexity.The convergence of information technologies and operational technologies is essential to achieve the goal of digitalization in existing industries. This paper provides an overview of digitalization methods in factory planning in the context of Industry 4.0. It describes the common technologies and methods that have been developed over the course of more than a decade of continuous progress in Industry 4.0 and digitalization. A particular focus is placed on the Brownfield and Greenfield approach, which was introduced to software development by Hopkins and Jenkins in 2008. Using these approaches, possible advantages and disadvantages as well as hurdles and challenges in the integration of new systems into existing structures and architectures are analysed and explained in more detail. [ABSTRACT FROM AUTHOR]

This research paper outlines a thorough methodology for a productive database management system for blood banks and incorporating with next-gen technologies such as cloud, CRM and automating workflow and receiving response through IOT devices such as ALEXA. The database is the most practical place for caching data, and it is the best tool for creating, maintaining, updating, and data from many perspectives. A well-organized blood bank database offers countless advantages, including increased productivity and time savings. In an effort to close this gap, we have Modelled a well –organized database. Additionally, we have created a tool that serves as a reminder. The main cloud services offered by Amazon, including IAM, S3, DYNAMODB, EC2, LAMBDA, API, and Cloud Watch, will be used in this project. IAM (the IAM service is used for authentication and security), S3 (it is a scalable cloud storage bucket that aids in storing the data received in the end server), DYNAMODB (is used as a database service), EC2 (used for implementing Linux instances), API (application programme interface), and CLOUD WATCH are some examples of other services that are used (it used for viewing the history logs). Additionally to automate workflow/process through voice command or get specific details, In this project let's consider if we want to get any information regarding the donor details, blood group details, it can be received as a voice output through our digital IOT device/personal assistant such as Alexa. [ABSTRACT FROM AUTHOR]

In these days image authentication has become an essential tool as image enhancing software are becoming prevalent and established in today's world. As such, images can unfortunately be tampered in a multitude of ways by even nonexpert people using the assistance of digital forgery tools. Hence, a universal method to identify such an issueis critical because information is key in the modern world. In this paper, we propose a new framework wherein tampering of images using Error Level Analysis and transfer learning is proposed. The time taken for processing and complexity of using such a method is lower in comparison with existing solutions for image forgery since the images are not split into patches. [ABSTRACT FROM AUTHOR]

Supply chains in today's global era generally have complex entities consisting of multi-echelon, dynamic, long chains, and geographically separated entities. Globalization in SC become increasingly complex when dealing with diverse regulatory policies because SC entities are located in different countries, accompanied by varying cultural behavior and human consumption. Complexity in SC networks often results in inefficient transactions leading to increased risk and distrust. These conditions lead to a need to share information that is more transparent, traceable, and verified. The use of blockchain technology as a tangible form of digital technology advancement can be utilized to effectively store traces of information and simplify the entire process of business transactions. This technology appropriate for processing wood distributor companies that have many suppliers and customers, both retailers and individuals who often demand clarity on the origin of woods being sold. Blockchain technology has public access system, can be applied to transparently track the information of wood in realtime between the parties concerned. With blockchain technology, companies can carry out transactions with shorter processing times and access information in a faster time because they're integrated with each other. This paper aims to propose a conceptual framework that defines the capabilities of blockchain technology that allows collaboration between various parties concerned such as aligning all consumer demand with supply of goods from suppliers in real-time in order to improve supply chain management performance of companies engaged in the commercial wood raw material industry. [ABSTRACT FROM AUTHOR]

The implementation of smart cities is necessary in order to enhance the management of urban resources through the use of cloud and fog computing, owing to a multitude of pressing concerns and evolving urban dynamics. In this paper, the incorporation of cloud and fog computing with a Cyber-Physical System (CPS) is presented to enhance the efficiency of urban resource management in the context of smart cities. As the process of urbanization intensifies, cities are confronted with unparalleled obstacles in their pursuit of sustainability, optimal resource allocation, and enhanced well-being for their inhabitants. Smart cities, which are constructed based on the concepts of technology-driven efficiency and sustainability, provide novel resolutions to these intricate urban challenges. The integration of cloud and fog computing technologies is the fundamental basis for the development of CPS. A CPS-based framework is presented that serves as a bridge between the physical and digital realms. An algorithm for task placement for urban resource management is proposed that reduces the latency and network consumption to facilitate the seamless integration of real-time data monitoring, analysis, and control mechanisms for essential resources. In the simulation, the iFogSim toolkit is used for performing the experiments. The results show the effectiveness of the proposed framework. Through the utilization of these technologies, smart cities have the potential to establish a foundation for urban environments that are characterized by enhanced sustainability, efficiency, and livability. [ABSTRACT FROM AUTHOR]

Present entire world depended on digital technology. Especially in medical field health condition of patients monitor by using digital devices like Gluco-meter, Blood Pressure Monitors etc. Now-a-days mobile phone also became as daily usage thing for every human and health also monitor by mobile phones with the help of few medical apps. In digital devices for storing of past data for future reference purpose need memory unit. The Static Random Access Memories plays a powerful role in digital world. Designing of low power SRAM is a complex task now days. During the fabrication of these low power SRAMs induces different kind of faults. One of the significant fault is resistive open fault.it degrades conduction between two nodes of the circuit. It cause delay faults. In this paper discussed about ROF, impact of ROF on SRAM and the detection methods. [ABSTRACT FROM AUTHOR]

Chatbot is a computer program that mimics human conversation and performs streamlined communication with the user through text messages. The usage of chatbots in the commercial field has been increasing recently due to the enhancement of customer satisfaction and product sales. However, most chatbots depend on antiquated models that can only provide pre-programmed responses, which is unclear and erroneous. This paper aims to build an automated mobile chatbot for a flower shop to assist them in reducing costs, boosting the business's growth, and establishing connections with clients in an increasingly digital environment. The majority of robots have been around for about ten years and work by following rules. These kinds of chatbot answer to customers based on the rules for the conversation. The proposed chatbot is implemented by machine learning approaches and natural language processing algorithms to enhance the chatbot's adaptability and human-like qualities, the chatbot are learning from the unsolved question based on the admin given answer. Besides, the admin interface is created to ease the data management in the proposed chatbot. [ABSTRACT FROM AUTHOR]

This paper examines the crucial subject of cyber security and its relevance in the current digital age. With the accelerated development of technology and interconnection, it is now more important than ever to guard against cyber attacks. The article gives a general overview of cyber security, including its meaning and value in protecting people, businesses, and societyat large. It explores a range of cyber threats, including insider threats, phishing scams, and malware assaults. The study then addresses crucial cyber security elements, such as identity and access management, network security, data protection, and application security. It looks at the techniques and recommendations used to improve cyber security, including encryption, firewalls, secure coding techniques, and incident response strategy. The study also examines recent developments in cyber security, such as IoT security, cloud security, and privacy laws. It addresses social engineering assaults and the significance of user education and awareness while emphasising the human element incyber security. The study also emphasizes the value of public-private partnerships, regulatory frameworks, and international collaboration in enhancing cyber security. Finally, it examines the field's potential future developments, including automation, threat intelligence, and ethical issues. In order to effectively address cyber threats, the study emphasizes the dynamic nature of cyber security and the necessity for continual awareness and agility. [ABSTRACT FROM AUTHOR]

In this Digital World, maximum information is processed in online mode and Attacked by cyber threats. There are large number of cyber threats which has been developed technically with growth in modern living habits. This lead detecting Cyber-attacks in early stages. Behind Cyber-attacks there is motivation or unknowingly done. The attacks which are done knowingly are considered as cyber-crimes. These cyber-crimes show huge impact on society in the form of psychological disorder, economical disrupt, threat to National defence etc. cyber crimes restriction should be dependent on analysis of different behaviours of attacks and understanding their impacts on different levels of society. Therefore, "this paper presents the understanding of cyber-crimes and their impacts on society with their future trends". [ABSTRACT FROM AUTHOR]

Cloud computing technology has a significant impact on human lives and organizations; it is one of the most promising platforms. It facilitates numerous services for cloud users, service providers, and cloud providers. In the digital era, cloud computing provides a wide range of different computing services based on pay-as-you-go (PAYG) services through the internet. Although cloud services have become more convenient and profitable in recent years, maintaining consistent security standards on cloud infrastructure is a tedious task that must be prioritized. It improves processing speed, storage capacity, efficiency, and accuracy, yet has some critical security threats. This paper provides a brief overview of cloud computing with its potential security threats and issues in cloud infrastructure. These security issues and challenges hamper cloud computing technology. Furthermore, the impact of threats on security attributes that affect cloud computing and cloud services is explored. Additionally, this paper also focuses on a few distinct security countermeasures that can assist individuals and companies in avoiding cloud security threats. [ABSTRACT FROM AUTHOR]

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

The paper studies the possibility of using radio transceivers HC-11 and NRF24L01 ++, as well as internal programmable operational amplifiers of microcontrollers in local positioning systems for mobile robots based on ultrasound to improve the characteristics of such systems and ease their development. The paper presents the results of an experimental study of the characteristics of the developed software and hardware complex based on the STM32G4 microcontroller. Mathematical modeling is used to assess the repeatability of measurements carried out by the complex, and the influence of the hardware design of its modules on the deviations of measurements made. In conclusion, recommendations are given for further improvement of the proposed approach to the development and debugging of the positioning system. The results of the work can be useful for developers of mobile robots and Internet of Things nodes, seeking to simplify the design of hardware and software solutions through the use of modern technical means, and aimed at accelerating the prototyping processes and development in a digital production environment. The work is especially relevant in modern conditions of growing requirements for the speed of development of new devices and the emergence of a large number of alternative system nodes with different technical characteristics. Proper selection of such a node can help reduce the development costs while maintaining functionality. [ABSTRACT FROM AUTHOR]

As Industrial Revolution 4.0 (IR 4.0) expands globally, international competition rises, thus, requiring the industry to be steadfast in its efforts to be at par with other international players within the nation. To overcome this, it is with the view that the help of technological digitalisation in construction is deemed significant throughout a project‟s cradle-to-cradle lifecycle. Building Information Modelling (BIM) in its application has been widespread within the construction scene. The technological adoption, nonetheless, brought about challenges to the present method of the construction process. In addition, organisations face difficulties in embracing the innovative revolution of digitalisation due to the present legalese which was made for conventional construction processes. Existing contractual solutions do not identify facilitation towards BIM‟s specific roles, processes and outcomes. Therefore, the paper is aimed to ascertain setbacks particularly legal issues brought about by the usage of BIM within the construction industry worldwide against Malaysia. The paper undergoes an investigation of past publications worldwide through a narrative literature review in uncovering the scepticism and a lack of enthusiasm for its adoption. The study found eleven variables within four main themes on contractual issues surrounding BIM. The identification of these issues, hence, would further assist in the contractual status of BIM within the industry. [ABSTRACT FROM AUTHOR]

The proliferation of Industrial Revolution (IR4.0) is inevitably revolutionizing the entire construction industry. It is not an option that the skills and competencies in myriad digital technologies need to be embedded in the construction management curriculum. The sheer lack of skills and trained labour in transition to digital construction is due to the inadequacy of hands-on activities of using multiple digital tools. This paper presents the experiential learning of using digital tools in construction management education. The objective of this paper is to explore the extent to which Experiential Learning Theory (ELT) influence the students' perception toward digital tools. A hands-on workshop activity approach was designed and organised by the student association in the construction management programme offered at Universiti Teknologi MARA (UiTM) to address the issue of lack of proficiency in using the digital tools such as Autodesk Revit (BIM system), Microsoft Excel (Quantity Take-Off). The approach first begins with an understanding of the digital tools for construction-related application. Then follow-up by step-by-step of exploring the ribbons of computer interface, short-cuts and associated tabs. The proposed approach is conducted in the faculty computer labs evaluated by using the experiential learning for both digital tools (i.e., Revit and Excel) in either creating a three-dimensional (3D) BIM Model or the ability to take off the material quantities. The evaluation results indicated that the approach helps to enhance students learning the digital tools and apply those activities in their formal course module. [ABSTRACT FROM AUTHOR]

During the COVID-19 pandemic, the world has witnessed rampant use of digital technology in almost every facet of huma lives. However, these digital techniques like use of mobile apps have certain drawbacks and constrains. These could be addressed with the use of emerging technologies like Internet of Things (IoT). In healthcare, that is Internet of Medical Things (IoMT). A number of ongoing studies show that integrating security measures with technology will lead to the adoption of stable IoMT applications. Emerging IoMT technologies used in conjunction with Blockchain, Artificial Intelligence, and Big Data, provide feasible solutions. The paper focuses on IoMT models, innovations, and security progress made to tackle COVID-19 issues. This paper contains the bibliometric research highlighting the use of disruptive technology for the diagnosis of COVID-19. It reviews the adoption of contactless services in the post-COVID-19 period along with potential opportunities as well as challenging obstacles for healthcare agencies, policymakers, and customers. [ABSTRACT FROM AUTHOR]

During the COVID-19 pandemic, the world has witnessed rampant use of digital technology in almost every facet of huma lives. However, these digital techniques like use of mobile apps have certain drawbacks and constrains. These could be addressed with the use of emerging technologies like Internet of Things (IoT). In healthcare, that is Internet of Medical Things (IoMT). A number of ongoing studies show that integrating security measures with technology will lead to the adoption of stable IoMT applications. Emerging IoMT technologies used in conjunction with Blockchain, Artificial Intelligence, and Big Data, provide feasible solutions. The paper focuses on IoMT models, innovations, and security progress made to tackle COVID-19 issues. This paper contains the bibliometric research highlighting the use of disruptive technology for the diagnosis of COVID-19. It reviews the adoption of contactless services in the post-COVID-19 period along with potential opportunities as well as challenging obstacles for healthcare agencies, policymakers, and customers. [ABSTRACT FROM AUTHOR]

The world was brought to the next industrial revolution or best known as the fourth industrial revolution (IR 4.0). Due to the accelerated growth of IR 4.0, a variety of upcoming initiatives that involve smart applications such as smart cities, smart vehicles, smart schools, and smart governance adversely impact the well-being of the Orang Asli. In applying the analogy of flapping of a butterfly wing, minor improvements in the current digital revolution (i.e.: IR 4.0) could cause a monumental impact in the long run against Malaysia's growth, and specifically for Orang Asli. Thus, this paper is written as an attempt to build awareness of the "Butterfly Effects" against Orang Asli in Malaysia by highlighting the current scenario and possible challenges faced by Orang Asli communities in embracing the inevitable wave of IR 4.0. The analysis presented was based on data obtained through doctrinal approach. This paper contributes in urging relevant authorities to plan for appropriate policies and agendas in order to lessen the digital divide and the Orang Asli's possible adverse effects. [ABSTRACT FROM AUTHOR]

In the digital era, most of the human work is now been performed using the computer system. The computer's capacity to detect and understand meaningful Handwriting input from sources such as touch screens, pictures, paper documents, and other sources is referred to as handwriting character recognition. The diversity in people's handwriting style increases the complexity of handwritten characters. Also, grading academic answer sheets manually and providing an unbiased genuine grade is a challenging task. The aim of the work is to create handwriting character recognition system that will be used to read handwriting notes and solve mathematical equations. The ultimate goal is to show that neural networks can solve equations from a handwritten source effectively. In this paper, we present a web application-based equation solver that uses a camera image of an equation to display the solution. The program has the ability to solve simple arithmetic equations (addition, subtraction, multiplication) and up to two systems of linear equation variables handwritten or typed in a computer font. [ABSTRACT FROM AUTHOR]

COVID-19 has a considerable impact on the adoption of Digital Learning platforms by schools and universities. These platforms allow teachers to deliver courses remotely, and students take courses at a distance. E-learning platforms collect, process, and store personal and metadata about participants. These data, in the right hands, help to improve educational facilities. But in the wrong hands, it can ruin the reputation of those involved. This paper has shown that it is necessary to identify which personal data is involved in Digital Learning, look at the security risks associated with Digital Learning, and formulate the required security measures required to mitigate them. Our research has highlighted that, for reliable and effective security, e-learning platform providers must comply with the legislation in force in their country and implement the existing security mechanisms. In addition, teachers and students should be aware of the regulations and privacy policies. The best practice is to protect ourselves before, during and after Online Learning. [ABSTRACT FROM AUTHOR]

Handwriting is a number, letter, word, or sentence written on a piece of paper that comes from human or individual handwriting. Handwriting has benefits that can help fine motor coordination, memory, and cognitive development in multi-sensory activities. There are several problems in the world of education that involve handwriting. First, handwriting that is difficult to read can cause students to get low grades and even fail to graduate from school. Second, sloppy handwriting makes students lose confidence. Third, students who have bad handwriting have the potential to be bullied by friends at school. The description of these problems causes the author to be interested in developing a digital technology innovation in detecting the quality of handwriting. The purpose of this research is to detect handwriting quality using a Convolutional Neural Network in transfer learning process of EfficientNet B0 model architecture on fine tuning. The data used are secondary data from the CSAFE Handwriting Database at Iowa State University collected by researchers at the Center for Statistics and Applications in Forensic Evidence. This data consists of 27 scanned handwriting samples from each of the 90 participants for a total of 2430 handwritten image samples. The model generated from EfficientNet B0 SGD optimization using learning rate of 0.01 at 28th epochs is very good model obtained. Moreover, the model was evaluated for accuracy, precision, recall, and F1−score of 92%. Next, the model is integrated into cloud computing. Furthermore, implementing the best model, android application is developed called Rayuan (Rate Your Handwriting). [ABSTRACT FROM AUTHOR]

COVID-19 pandemic requires professional teachers to use digital technology, but some students experience obstacles in technology so that it has an impact on their low critical thinking abilities. This paper aims to analyze mathematical critical thinking abilities between students who carry out learning models eliciting activities assisted by Edmodo and conventionally assisted by WhatsApp based on prior knowledge of mathematics. The research method used a quasi-experimental, non-equivalent pretest-posttest control group design. The sample was selected through a homogeneity test from 4 parallel classes of one junior high school in Bandung Indonesia, two classes were selected, namely class VIII A as the experimental class and VIII D as the control class. The instrument uses an initial mathematical ability test and critical thinking abilities. Data analysis uses: Two-way ANOVA test. Findings: There is a difference in the improvement of mathematical critical thinking abilities between experimental class and control class students. There are differences in the achievement of mathematical critical thinking abilities based on prior knowledge of mathematics in the smart, medium and weak categories. Learning models eliciting activities assisted by Edmodo can facilitate the process of construction, interaction and reflection so as to improve students' critical thinking abilities. [ABSTRACT FROM AUTHOR]

Standardization and product quality management is a specialty that solves the tasks and problems of harmonious (complex) development of the development and production of goods and services based on modern methods of managing and controlling the activities of enterprises and organizations at the stages of the life cycle, including information technology, and also improvement of product quality management systems. The introduction of this system contributes to the improvement of methods for the overall quality management of a product of a complex technical system. This paper discusses the issues of automating the tasks of quality management of aircraft products in single information space of the life cycle. The structure and functional implementation of the digital platform for aircraft weight design is shown. The information basis of this system is the weight model of the aircraft, which is available in the information space to all participants at the stages of the life cycle. [ABSTRACT FROM AUTHOR]

Additive manufacturing is a production technique increasingly used in the aerospace industry. Among different methods, one of the most popular is Direct Metal Laser Melting (DMLM), which provides an opportunity to produce complex parts with minor waste of parent alloy. Every alloy requires developing a new parameter set defined for a specific type of geometry. Besides developing basic parameters such as laser speed, laser power, laser spot size, trace spacing it is also necessary to investigate interactions between them. Development of the parameters is a multistage iterative process, which can be divided into the following steps: build preparation, printing process, build post-processing, and sample evaluation. Those steps often consist of excessive, repetitive, and occasionally subjective tasks that can benefit from automation. This paper focuses on creating digital tools to assist users in the last step - sample evaluation, mainly for quantitative image analysis tasks such as image pre-processing, or porosity testing (overall level, maximum anomaly size, subsurface defects assessment). Compared to manual metallographic characterization, which is often time-consuming and depends on the subjective judgment of the engineer, digital tools can significantly reduce the analysis time, provide more complete data and standardize the results. It was observed that the usage of digital tools through every step of the parameters development reduced the time by around 80% compared to the previous process. [ABSTRACT FROM AUTHOR]

As the industry of construction, architecture and engineering adopts the digital era, value-added sensor network monitoring, simulation, engineering system optimization, and semantic modelling impact the design, construction, and operation of constructed assets. Such information-intensive models not only increase the value chain's effectiveness but further reduce the effects on the life-cycle of buildings. The industry as a whole has a number of problems that stem from the use of outdated methods, such as pollution and wasteful energy consumption. The aim of this research is to evaluate the significance of automation in the building trade by utilising several cutting-edge technologies. The paper examines the various applications of BIM in construction industry and identifies its limitations and prerequisites, laying the groundwork for ideas like the Construction Digital Twin, automation in the construction sector, and the integration of AI with IoT. Then, an outline of this notion is provided in terms of the underlying issues of BIM, identification of the potential to integrate automation in construction industry. [ABSTRACT FROM AUTHOR]

The paper proposes a methodology for assessing the effectiveness of managing the financial flows of an oil company considering introduction of digital technologies, based on the calculation of the integral indicator of the potential of digital solutions in managing financial flows. A system of indicators for assessing the potential of digital solutions in the management of financial flows in an oil company is proposed, which makes it possible to calculate the integral level of the potential of digital solutions of an oil company by deviating actual indicators from their normative (reference) values. To assess the impact of digital technologies on the efficiency of managing the financial flows of an oil company, a methodology has been developed based on identifying cause-and-effect relationships between indicators of cash flow liquidity, net profitability and the proposed indicators of the level of use of digital technologies, which makes it possible to obtain a final assessment of the effectiveness of the implementation of digital technology as a whole. Approbation of the proposed approaches was carried out on the example of the oil company PJSC Rosneft. According to the results of calculations, the company PJSC NK Rosneft revealed the average potential of digital solutions in managing the company's financial flows. The results obtained make management decisions more justified in terms of introducing digital technologies into the company's financial management activities. [ABSTRACT FROM AUTHOR]

The environmental crisis is a big problem that challenges human life today and in the future in line with the industrial era 4.0. The environmental crisis is a concern for all parties, including those involved in the religious field, especially in the current industrial 4.0 era. Various efforts continue to be made to preserve the environment in various ways and different approaches. The perspectives of religions on the environment can be a source of inspiration and solutions for efforts to build awareness of the Indonesian people to care about the environment. Online interviews were conducted on figures who understand their respective religions well who live in Jakarta, Bandung, Malang and Denpasar City, Bali. This paper finds the environmental perspective of religions from the interviewees as an epistemological framework for positive-constructive efforts to overcome the current environmental crisis. To foster environmental awareness in line with industry 4.0, it is necessary to create a digital technology platform in the form of a virtual tour that contains knowledge and educational content on environmental care as a means of socializing values for the people of Indonesia. The virtual tour is expected to be an educational instrument that can change the mindset, empathy, attitude, and action patterns of Indonesian people to care about the environment. [ABSTRACT FROM AUTHOR]

The paper considers the problem of using end-to-end digital technologies and platform solutions using elements of artificial intelligence. Identification of goods prohibited to be transported across the customs border is accepted as the main object of research. Problematic issues of unambiguous identification of prohibited goods at the border with the use of inspection and inspection complexes are formulated. The dual energy method for recognizing the materials of a controlled object by the effective atomic number and the mathematical foundations of a computed tomography are outlined. Recommendations on the implementation of the method of nonlinear inverse projection and nonlinear tomosynthesis at a small number of projection angles of the controlled object of the developed model in practice are given. Around the world, the time of customs clearance of foreign trade cargoes is one of the key criteria for assessing the effectiveness of the customs service. The use of end-to-end digital technologies and platform solutions using artificial intelligence elements and decision support systems will make it possible to carry out customs control "invisibly" and quickly throughout the entire chain of goods movement [1]. As a tool to speed up customs procedures, prevent and suppress offenses at the border, high-tech equipment is used, including large-sized inspection complexes (IC). Currently, the customs authorities of the Republic of Uzbekistan are equipped with modern IC, which allow you to get an x-ray image of the vehicle and the goods transported in it. However, the analysis of X-ray images and the detection of items prohibited for transportation in them requires high qualifications from a customs officer. Consequently, the task of studying the methods of artificial intelligence and recognition of goods prohibited for transport across the customs border is relevant. Therefore, the task of researching artificial intelligence methods and automatic recognition of goods prohibited for transportation across the customs border is relevant. [ABSTRACT FROM AUTHOR]

Rapid advancements in digital technology have resulted in a new industrial revolution phenomenon known as Industry 4.0. This revolution introduces modern technologies that enable the connectivity of all components within industries. This paper reviews the current status and progress in Indonesia heading to Industry 4.0. The Indonesia' government has been launched 'Making Indonesia 4.0's' roadmap in 2018 including the five priority industrial sectors namely food and beverages, chemicals, textile, automotive, and electronics and ten national priorities. Indonesia which is currently only in the stage of entering the industrial era 4.0 with few of challenges and opportunities by following the roadmap of "Making Indonesia 4.0". [ABSTRACT FROM AUTHOR]

In this digital world, everything is getting online this made user-information a vital asset. A service provider needs to communicate a user that, how this data is handled while serving to their request. This information about how data is gathered, the way of collection, its management and the purpose of data collection is specified in a privacy policy. In order to give complete, understand ability of data handled by a service provider, privacy policies should be readable and should not be vague. More often these documents are complex to understand, which implies that user privacy is at high risk. Hence, this report elaborates on how user awareness can be increased about privacy by providing an analysis tool that uses visualization techniques. This report also focuses on problems and test faced by the users' side. This mainly because of structure less and lack of a clear description of users' privacy. This paper additionally provides studies on utilizing device mastering to examine privateness guidelines and answers to visualize them. [ABSTRACT FROM AUTHOR]

In this paper, experimental and analytical studies of the energy consumption of rolling stocks in real operational conditions have been carried out. The Human factor, which significantly affects the consumption and recuperation of electrical energy, is minimized, as well as the influence of the railway profile. The measurements provide data on the energy consumption and on the total energy recuperated to the traction grid. The main indicators used in the analysis of the energy consumption have been calculated: relative operating energy consumption for acceleration and traction, relative energy recuperated to the traction grid during regenerative braking and relative net energy consumption. A comparative analysis of the energy indicators in terms of energy consumption with on and off air conditioning systems of the studied trains has been done. Digitization of the results has been made by two approaches – depending on the time range (peak, off-peak and night schedule) and the specifics of the route (the distance traveled). Recommendations have been done in various aspects in order to increase the efficiency of transport and optimize energy consumption. [ABSTRACT FROM AUTHOR]

In 2020, the Covid-19 virus has become a global pandemic, which started in the Chinese province of Wuhan and spread around the world, The aim of the present study is to discuss the most important and latest methods of tracking Covid-19 patients and the strategies followed by developed countries in integrating digital technology to control the epidemic, it also covers the most important issues and discusses the difficulties these technologies as well as how people interact with and feel about the use of this type of technology. Among these methods used, are those developed by technology companies in cooperation with telecom companies, such as Covid-19 patient tracking applications that rely on raising case information. These applications have been effective (GPS, Wi-Fi, and Bluetooth), as also the most important prevention measures to be followed and symptoms that are likely to appear on infected or carriers of the virus have been announced by global health agencies, which have been accepted all over the world. In this paper we present. A progressive of digital solutions technologies from the methods used to confront COVID-19 since the appearance of the first case used to control and stop the spread of the pandemic and track infected people, to the contemporary technologies in use, depending on the country used for each of these strategies as well, in addition to the most prominent issues that impede these preventive methods. Then there are the advantage and disadvantages of these technologies, by analyzing the different features of contemporary technology in order to combat the COVID-19 pandemic, we provide a window of ideas for reviewing technological advances used to reduce and control the spread of the epidemic. Despite the emergence of various studies related to modern technology towards COVID-19, there are still limited applications and contributions of technology in this battle. On-going progress in modern technology has contributed to improving people's lives and hence there is a solid conviction that validated research plans including artificial intelligence will be of significant advantage in helping people to fight this infection. [ABSTRACT FROM AUTHOR]