Reviewerly/exHarmony huggingface dataset:
Vehicle Detection, Classification and Counting on Highways - Accuracy Enhancements

In Australian urban roads, pneumatic tubes are temporarily installed over roads to determine the road usage by vehicles. This is a relatively expensive process and the data cannot be obtained for about two weeks until a manual retrieval of data. In the past, we developed a highly accurate real-time computer vision-based system which relied on back ground subtraction, morphological operations and Gaussian filtering to track centroid of vehicles and accurately determine their speeds and count them. However, in this latest research, we provide our updated system that can determine not only speeds of vehicles but also identifies them including cyclists and pedestrian. This is achieved thorough neural network implementation allowing us to determine their speeds even when they do not follow a straight-line movement. This research utilizes the YOLO family, specifically YOLOv5 for neural network implementation. Such a system is very versatile in determining the variety of traffic in intersections that could not be handled in our previous approach using centroid tracking.
Dynamic Recurrent Embedding for Temporal Interaction Networks

Temporal network data in the form of sequential interactions are constantly generated from various domains. Modelling and application of such data require effective approaches to capture temporal and topological information. Graph representation learning transforms the complex data into low-dimensional embedding, which can be utilized in multiple subsequent tasks. However, few methods have managed to merge the temporal information with the graph embedding. In this work, we propose a model to generate temporal graph embedding, employing a gated recurrent neural network as an updater, capturing the time feature with time encoding, and using the embedding in future interaction prediction tasks, and has achieved performance comparable to state-of-art networks in two real-world datasets in both transductive and inductive settings. The ablation studies validated the effectiveness of node embedding and time encoding.
Federated Sparse Gaussian Processes

In this paper, we propose a federated sparse Gaussian process (FSGP) model, which combines the sparse Gaussian process (SGP) model with the framework of federated learning (FL). Sparsity enables the reduction in the time complexity of training a Gaussian process (GP) from $$\mathcal{O}\left({N}^{3}\right)$$ to $$\mathcal{O}\left({NM}^{2}\right)$$ and the space complexity from $$\mathcal{O}\left({N}^{2}\right)$$ to $$\mathcal{O}\left(NM\right)$$ , where $$N$$ is the number of training samples and $$M$$ ( $$M\ll N$$ ) the number of inducing points. Furthermore, FL aims at learning a shared model using data distributed on more than one client under the condition that local data on each client cannot be accessed by other clients. Therefore, our proposed FSGP model can not only deal with large datasets, but also preserve privacy. FSGPs are trained through variational inference and applied to regression problems. In experiments, we compare the performance of FSGPs with that of federated Gaussian processes (FGPs) and SGPs trained using the datasets consisting of all local data. The experimental results show that FSGPs are comparable with SGPs and outperform FGPs.
Research on Exchange and Management Platform of Enterprise Power Data Uniftcation Summit

In recent years, due to the continuous expansion of the government, enterprises, and social users for power data sharing applications, as well as the rapid expansion of data service product scope and data service access business volume, along with the continuous advancement of power data sharing interactive services, it is necessary to improve data sharing operation management and control mechanism. At the same time, on the one hand, in order to support the efficient development of the daily operation and maintenance management of data products, standardize the product operation and maintenance, including data catalog management, data product management, product drop-off, etc.; on the other hand, in order to strengthen the operation of the data sharing and interaction process, etc. This paper proposes the design of the data sharing service platform, which meets the following requirements: First, establish access service security guarantee, unified access to government, enterprise and other customers' access requests in different ways The second is to establish a standardized data service demand management, to provide data catalog query services for customers such as governments and enterprises, and to accept the data needs of these customers, forward the business department for processing, and give feedback to customers on data demand processing opinions; The third is to provide unified data Product access services, including data product query, data product application, and data product online access services; Fourth, provide unified data interface services, including data interface query services. The platform guarantees the normal operation of external power data sharing services, establishes an internal data sharing management and control mechanism, and supports the company's data service operation management personnel to carry out data product operation management, data service upload and removal, data service authority control, data service operation monitoring and analysis, etc. Data sharing operation management and control.
Efficient Post Event Analysis and Cyber Incident Response in IoT and E-commerce Through Innovative Graphs and Cyberthreat Intelligence Employment

Currently, the doors are open to novel paradigms of the use of connected technologies. E-commerce and the Internet of Things devices experience substantial growth in popularity. However, this unprecedented increase in popularity comes at a price of a wide attack surface. This paper proposes an efficient Post Event Analysis and Incident Response procedure implemented with the use of graph databases and cyberthreat intelligence platforms to raise the security capabilities of an organisation by granting the ability to relate current detection to both own past events and incidents reported by other organisations. This approach allows the user to gain a pre-emptive advantage over the malicious actors by learning from the experiences of others.
Traffic Sign Detection for Smart Public Transport Vehicles: Cascading Convolutional Autoencoder With Convolutional Neural Network

Traffic sign detection is one of the most important tasks for autonomous public transport vehicles. It provides a global view of the traffic signs on the road. In this chapter, we introduce a traffic sign detection method based on auto-encoders and Convolutional Neural Networks. For this purpose, we propose an end-to-end unsupervised/supervised learning method to solve a traffic sign detection task. The main idea of the proposed approach aims to perform an interconnection between an auto-encoder and a Convolutional Neural Networks to act as a single network to detect traffic signs under real-world conditions. The auto-encoder enhances the resolution of the input images and the convolutional neural network was used to detect and identify traffic signs. Besides, to build a traffic signs detector with high performance, we proposed a new traffic sign dataset. It contains more classes than the existing ones, which contain 10000 images from 73 traffic sign classes captured on the Chinese roads. The proposed detector proved its efficiency when evaluated on the custom dataset by achieving a mean average precision of 86.42%.
SELECTED SCHOOL BASED FACTORS’ INFLUENCE ON VALUE ADDITION IN SECONDARY EDUCATION IN PUBLIC SECONDARY SCHOOLS IN RACHUONYO SOUTH SUB-COUNTY, KENYA

Purpose: The study sought to determine value addition in secondary education of 2013 and 2014 cohorts in public secondary schools in Rachuonyo South Sub-county and to examine selected school based factors’ influence on value addition in secondary education.&#x0D; Methodology: The study adopted a correlational design. Correlational research design was appropriate for this study since it enabled the researcher to collect independent and dependent variable data sets with a view to determine the relationship between them (Creswell, 2012). The population comprised 49 public secondary schools in Rachuonyo South Sub-County, 49 Deputy Principals and 5132 students. The researcher used Yamane’s formula to compute a sample of 39 public secondary schools, from where 39 Deputy Principals and 4351 students were purposively sampled. Data were collected using document analysis guide and questionnaires and analysed using frequencies, means and regression analysis with the aid of SPSS V.25 software.&#x0D; Findings: Findings revealed value additions of -1.563125 for 2013 cohort. Regression analysis revealed that performance appraisal accounts for 17% change in value addition in secondary education of the 2013 cohort and that teachers’ professional development (β=0.325, p=0.040) has a weak significant positive relationship with value addition in secondary education of 2013 cohort. For the 2014 cohort, findings revealed value addition of -1.9363125. Regression analysis revealed that teachers’ performance appraisal account for 12% change in value addition in secondary education and that teachers’ performance appraisal (β=0.386, p=0.009) has a weak significant positive relationship with value addition in secondary education.&#x0D; Unique contribution to model and practice: The study contributes to literature by providing analysis of value addition in secondary education and teacher performance appraisal contribution to value addition in the context of Kenya.
Adaptation of Blockchain in Internet of Medical Things for Remote Patient Monitoring

IoT has been transforming the world of information significantly. It has allowed administration services without human interventions for a range of applications including healthcare with Remote Patient Monitoring (RPM). Blockchain is broadly utilized in IoT applications like smart health monitoring that provides privacy and security. Blockchain innovation presents freedom for the medical services industry, for example, reduced transaction costs, transparency for reporting regulatory entities, productive medical care information, privacy, confidentiality and universality of healthcare records. This chapter deals with the collaboration of blockchain innovation in IoT security in terms of the RPM framework. A Patient Centric Agent is used for end-to-end design for nonstop tolerant checking. The patient agent deals with a segment of blockchain to provide protection when streaming information from body area sensors that need to be securely stored and DQDO\]HG critical parts of blockchain to a wellbeing application network where patient's information can be utilized to make alarms that are essential to validate medical services suppliers in a protected way. This methodology is valuable as they assemble information for longer time frames. The access control manager stores and safely accesses information needed by the classifier during retraining progressively in realtime from an external data storage.
A REWARD MECHANISM FOR MEDICINE SUPPLY CHAIN THROUGH BLOCK CHAIN TECHNOLOGY

The main issues with drug safety in the counterfeit medicine supply chain, are to do with how the drugs are initially manufactured. The traceability of right and active pharmaceutical ingredients during actual manufacture is a difficult process, so detecting drugs that do not contain the intended active ingredients can ultimately lead to end consumer patient harm or even death. Block chain’s advanced features make it capable of providing a basis for complete traceability of drugs, from manufacturer to end consumer, and the ability to identify counterfeit-drug. This paper aims to address the issue of drug safety using Block chain and encrypted QR(quick response) code security. Manufacturer generates an encrypted QR (quick response) code for the details and attaches the transaction to the block chain system. If any participants want details of drugs, then public key must be shared by that participant to the manufacturer. Manufacturer will encrypt the QR code and will send back to the participant. The QR code will be decrypted by the valid participant by their private key.
ATTENDANCE MARKING AND GRADING (AMG) SYSTEM

This study outlines the various processes and strategies used to collect needs, design, implement and evaluate a project in the Attendance, Marking and Grading (AMG) system. Problems with the current college system have been identified and addressed. The goal of this project is to solve some of these issues and, as a result, provide value to the current system. All participants' claims were collected, and we developed specifications, samples, and research-based software design on the basis of them. The project is launched as a Django-based website (python). We used the AMG method to troubleshoot existing difficulties using various types of information and tools that we obtained along the route. To lock it at the conclusion of the system, such as the system layout and the front beacon. The program has also been put through its paces, with good results. As a result, the findings can be incorporated into the existing system to help it operate better and alleviate some of its issues
FORMALIZATION OF PROCESSES AND PHENOMENA IN THE SYSTEM "REASONABLE INSTITUTION OF HIGHER EDUCATION" ON THE EXAMPLE OF SPECIALTY 193 "GEODESY AND EARTHLES"

The article analyzes the state of informatization of processes and phenomena in modern institutions of higher education. The main conceptual provisions of modeling of processes and phenomena of higher education institutions are offered in the work. Models of correspondence of options of interaction of units of providing higher education institutions and procedures of formalization technology, models of educational and methodical providing, models of digital platforms of knowledge of institutions of higher education and models of procedures of interaction of elements of management of institutions of higher education by methods of category theory are developed. Methods of systems analysis, mathematical logic, category theory, heuristic methods were used to build models. The results were obtained. The problem is formulated, which is to unite the positive aspects of existing and existing information technologies, as well as the elimination of negative aspects that hinder the processes of information integration and the development of intellectual rules for interaction. Developed an example of formalization, in our opinion, the most complex and most important for the university educational and methodological support, abstracting from most types of support. Schematic solutions, as well as experience in organizing student learning based on the support system of educational processes were shown using models of disciplines and professional knowledge of students, as well as by combining them in one specialty, called digital platform of professional knowledge. A metamodel of a higher level of generalization has been developed, which allows its use in modeling other types of software. It is characterized by the complexity of relations between participants in the learning process, on the one hand, standardization and strict requirements for learning processes on the other hand, which led to the construction of learning processes in the language of theory of categories and functions. Formalization of learning processes in a more abstract language allowed to develop this metamodel. The development of the basis for the knowledge base of the intelligent system "Smart Institution of Higher Education" will solve a wide range of tasks at different levels of the hierarchy of management, control, monitoring, scheduling processes and phenomena in higher education institutions.
Literasi Digital Pemanfaatan Modul Aplikasi Sevima Edlink dalam Perkuliahan Daring Mahasiswa Prodi Bimbingan dan Konseling FKIP Universitas PGRI Mahadewa Indonesia

This paper aims to describe digital literacy by utilizing the edlink application module in online lectures for Guidance and Counseling Study Program students, FKIP University, PGRI Mahadewa Indonesia. Utilization of technology is not new for students and in almost every activity can not be separated from technology products. Thus, the Guidance and Counseling Study Program lecturer must also be able to use or create information and technology-based learning media. Among the intermediaries or learning media is the edlink application module. With this media, lecturers can provide lecture materials that can be accessed by students and package their learning activities by utilizing the features available in Edlink and based on digital literacy. The use of edlink by lecturers provides students with experience in selecting and analyzing the information needed in online lecture activities. The stages contained in digital literacy include digital competence, digital use, and digital transformation. In general, this article will explain about the edlink application module, digital literacy, and online lectures through the digital literacy-based edlink application module.
Leadership Using Internal Controls for a Decentralized (Remote) Workforce

This chapter covers internal controls and segregation of duties needed to protect company assets when a decentralized (remote) workforce is utilized. Company assets focused on in this chapter include cash, customer billings, inventory, computers, data, expense report reimbursements, payroll checks, and time engagement. Also discussed is the value of company reputation in terms of customer service levels, social media presence, and corporate social responsibility. Managers and leaders must be knowledgeable on how to monitor their subordinates in a remote workplace.
Contemporary Security Threats

Online transactions have increased abruptly during the COVID-19 pandemic. In recent years, the expansion of easy banking in Bangladesh has become necessary, particularly when banks do not have sufficient branches in Bangladesh's rural areas. This research provides a quick overview, a managerial framework of cybersecurity, and several potential threats that might significantly affect the security of online monetary transactions by giving some important ways. The authors explore contemporary scamming strategies used by cybercriminals and the impact of such scams on the financial sector. In addition, this chapter presents a way to mitigate these concerns by inflexible banking, provides a quick overview of the current automated teller machine (ATM) fraud, and offers potential solutions to avoid these attacks. Furthermore, the authors examine the consequences of banking fraud and identify possible research avenues where researchers could focus their efforts on benefit.
Penetration Testing and Cyber Security Studies in Bangladesh

The COVID-19 pandemic and consecutive lockdowns have made people dependent on the online environment and have made society compatible with virtual platforms. But the management of the electronic environment is not so easy but too crucial and vital as well as needs to be user-friendly. As a developing country, Bangladesh has welcomed digital changes. Unfortunately, threats and vulnerabilities have risen in lockstep with technological advancement. To deal with this issue, businesses and educational institutions are turning to cyber security. Penetration testing (Pen-Test) is a way of assessing the security of a web application, system, or network by systematically checking and confirming the efficacy of that system. The purpose, classifications, and uses of penetration testing in Bangladesh's IT industries are discussed in this chapter and depict the present state of cyber security in Bangladesh. The authors highlight some of the aspects that contribute to the country's cyber vulnerabilities. Finally, several proposals are made to protect Bangladesh's cyberspace against harmful assaults.
Perancangan Sistem Informasi Akuntansi Penjualan Dan Pencatatan Hutang pada Toko Elektronik XYZ Salatiga

For an organization, speed and accuracy in obtaining information has become a necessity. The existence of an information system becomes a necessity to solve the problem of speed and accuracy in accessing information. XYZ Electronic Store before implementing the information system, had difficulty in knowing quickly and accurately about sales information and how much the store's debt had not been paid. The research method used in this research is observation, interviews and design and implementation of the system. Design system design with DFD, ERD and implementation with PHP programming language. Design system design with the prototype method. After implementing the sales accounting information system and debt recording, the problems faced by XYZ Electronic Store can be resolved. Information on the number of sales in a certain period can be quickly identified, and can schedule debt payments. Debt payment time can be set because the system records all complete debt lists along with the due date.
Corporate Criminal Liability for Leakage of Personal Data

The type of research used in this thesis is normative juridical (legal research), using a statutory approach, and a conceptual approach.The problems in this thesis are: Regulation of personal data protection in Indonesian legislation and Corporate Criminal Liability for Personal Data Leakage.Personal data is an asset or commodity of high economic value.In addition, there is a correlative relationship between the level of trust and the protection of certain data from personal life.Protection of personal data is currently not regulated in a separate law but is still spread in various laws and regulations.Legal provisions related to the protection of personal data are still partial and sectoral, it seems that they have not been able to provide optimal and effective protection of personal data, as part of privacy.Seeing the victims of corporate crime in the criminal act of leaking personal data, it is very natural that the corporation must be responsible for all of its actions.The forms of losses and also the consequences of corporate crimes cannot be felt immediately (actual victims) but can only be felt and seen at a later time (potential victims).The victims of corporate crime include rival companies (competitors), consumers and the public (public) in general.As in the case of personal data leakage on Tokopedia, the victims are consumers who fall into the category of potential victims.