Asian Journal of Research in Computer Science
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792 research outputs found
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Detection of Face Recognition of Interviewee Using Transform Technique and Machinle Learning Algorithm
No full textA crucial task in any firm is the hiring of new personnel. Virtual interviews have replaced face-to-face interviews as the norm since the Pandemic. Knowing the sincerity of the interviewee while applying to the company becomes a significant task in such a situation. The practice of manually comparing a candidate\u27s face from many interview rounds to the actual candidate joining the organization is being used by interviewers. I want to automate this human process, using machine learning techniques to aid the interviewee\u27s sincerity be established. Machine learning techniques will be used in this procedure to find and identify faces in pictures taken during the first round of interviews. Then compare it later to the real face that was photographed at the time of joining. If all of the visuals line up, it establishes the interviewee\u27s sincerity. And if they don\u27t match, management can take the necessary steps offline. This project will be conceived up and explored from the standpoint of how and whether Python may be used to implement
Blockchain for Combating Pharmaceutical Drug Counterfeiting and Cold Chain Distribution
No full textIn recent years, pharmaceutical drug traceability systems have been developed as critical tools for improving the digital supply chain\u27s transparency and visibility. Blockchain-based drug traceability proposes a promising solution to create a distributed shared data platform for an irreversible, trustworthy, reliable, and transparent system. This article provides a thorough analysis and summary of the current state of drug traceability distribution research on the blockchain platform by using Hyperledger febric and Hyperledger Besu methodologies. Blockchain based platform, Hyperledger Fabric and Besu meets essential needs for drug traceability such as privacy, dependability, transparency, security, authorization, authentication, and scalability. The Hyperledger Fabric blockchain platform executes drug transactions proficiently and securely in the supply chains within a distributed network of stakeholders. This fabric-enabled private, permissioned distributed network comprising various pharmaceutical stakeholder groups aids in the efficient and secure execution of medication in supply chain transactions. This study also examines the impact of blockchain technology in the healthcare system while exhibiting how some features of this disruptive technology have the potential to transform existing cold chain and drug traceability processes. Blockchain technology embraces significant benefits in the processes of pharmaceutical drug serialization, protecting IoT devices, and ensuring temper-proof transaction sharing. Blockchain is also a potential solution to make use of IoT-enabled vehicles and warehouses for cold chain transportation by using smart sensors to capture critical temperature data. Blockchain-enabled IoT sensors in the cold chain ensure the secure transportation of drugs to pharmaceutical stakeholders in the supply chain network
Unleashing the Power of Cloud Computing for Big Data Management: Advantages, Challenges, and Future Prospects
No full textIn the era of digitization, big data analytics has become essential for various sectors. Traditional computing systems often struggle to handle the demands of big data. This article explores cloud computing as a viable solution, emphasizing its scalability and flexibility. Through a comprehensive literature review, two case studies were analyzed, showcasing the advantages of cloud computing in big data processing. The findings reveal that cloud platforms not only enhance computational efficiency but also offer practical benefits for businesses, aiding in informed decision-making. As big data continues to grow, cloud computing stands out as a pivotal tool in addressing its challenges and harnessing its potential
Application of Artificial Neural Networks in Polymer Composites: A Review
No full textArtificial neural networks (ANN), which have been a hot topic in the field of artificial intelligence (AI) since the 1980s, are widely applied these years for their strong ability in the field of nonlinear mapping, pattern recognition, robots, automatic control, biology, economy and so on. This review presents and summarizes the history of artificial neural networks, briefly introducing the application of artificial neural networks. After that, the paper focuses on an overview of research advances in neural networks for polymer composites and introduces several classical categories of applications. Finally, we look ahead to the development of neural network applications in polymer composites and provide a future outlook for the application of artificial neural network in polymer composites
An Overview of Computer Operating Systems and Emerging Trends
No full textThis article presents an overview of computer operating systems (OS) and emerging trends. OS is simply defined as an interface between computer hardware and the user. The objective of the study is to investigate the emerging trends of OS and to find out the direction of OS for modern computing systems. To achieve this goal the paper looks at the concepts of OS, its underlying architectures and evolution. The papers also outline the components of the OS provide knowledge on security issues with OS architectures and provide best practices to secure OS. The paper found out that the current trends in OS include IoT OS, Cloud OS, AI-powered OS, Blockchain OS, Hybrid OS and Container OS. The paper compares the strengths and weaknesses of the major OS. The Paper proposes a double-layer security approach where the OS is hardened with security policies and embedding security protocols in the Hardware architecture of the OS. It was discovered that every technology comes with its unique architecture and OS. This makes it worrisome for engineers to crack their brains to develop such a system. The paper further proposes the development of a universal OS for all architectures leaving room for further expansion while mitigating power consumption issues by incorporating green computing technology in the design architecture
State-of-the-Art Violence Detection Techniques: A review
No full textSurveillance systems are playing a significant role in law enforcement and city safety. It is important to detect violent and suspicious behaviors automatically in video surveillance scenarios, for instance, railway stations, schools, hospitals to avoid any casualties which could cause social, economic, and ecological damage. Automatic detection of violence for quick actions is very significant and can efficiently help law enforcement departments. So, researchers are doing a lot of research on different techniques for detecting violence. This research study reviews various techniques and methods for detecting violent or anomalous activities from surveillance video that have been proposed by many researchers in recent years. The method of detection is divided into three categories. These categories are based on the classification techniques used. These categories are: traditional violence detection using machine learning, Support Vector Machine (SVM) & Deep Learning. Feature extraction & Object detection techniques are also described for each category. Moreover, dataset & video features that help in the recognition process are also discussed. The overall research finding has been discussed which will help the researcher in their future work in this field
Mobile-base Registration System for Blood Donation (MBRS-BD)
No full textIn the healthcare management domain, blood donation receives a particular interest due to its crucial and vital importance in saving people’s lives. In Iraq, the blood donation procedure usually consumes a lot of time for donors as it is carried out through a non-automated and paper-based process, which is done only in hospitals/ medical centers for those who are willing to donate. Patients who are in a need for blood donation may have to wait until they receive the service, and this may results in dramatic or undesired consequences. At the same, the blood donation procedure negatively affects people who are willing or wish to donate blood and mostly leads to ignore this matter by a lot of them unless there is a critical situation concerning one of their family members. This paper propose a Mobile-Base Registration System for Blood Donation (MBRS_BD) using Firebase Cloud Messaging (FCM) to manage the process of donor’s registration automatically using a smartphone to simulate, ease, and minimize the time required for that. Donor can register in any available Iraqi hospitals/ medical center using MBRS-BD and go in the exact time to complete his/her donation process
Using 3D Tools to Design CCTV Monitoring System for Ghanaian University: A Case of C.K. Tedam University of Technology and Applied Sciences (CKT-UTAS)
No full textCCTV monitoring system is an essential security tool for visual surveillance accelerating the investigation in potential criminal activities when the need arises. Although expensive, universities mostly with public-access campuses in general, all need this system mainly to maintain safety and security in real-time, allowing legitimate students and staff to access campus resources and concurrently preventing any unauthorized persons access within the campus as well as responding to incidents with necessary action. C. K. Tedam University of Technology and Applied Sciences (CKT-UTAS) is a university in the Upper East Region of Ghana that does not have such a monitoring system. Since it is a newly established public university, its allocated funds are limited and could not be used to establish such an expensive system. To supplement their ongoing efforts in building security monitoring system, this study constitutes the blueprint procedures for building economical but reliable and efficient CCTV camera system for monitoring the property on campus and also the in and out of students and university staff members. The CCTV system was tested in monitoring vantage security post of the University. After observing and analyzing the trends in data from both the physical and our proposed automated monitoring approach, it can be concluded that the CCTV camera setup outperforms the physical and manual form or monitoring vantage security posts on University campus. Since the of monitoring security post using the proposed CCTV setup is advantageous in requiring lesser human effort and skills, it can be recommended for universities with low income-flow and low budget. This probably can make the university campus more secure and reliable
Multi-variate Time-series Analysis Using VECM Identifies the Best Set of Exogenous Predictors for Rainfall and Temperature in India: A Data Analytical Approach
No full textThe complex nature of climate change with multitude of underlying factors poses a major hindrance in data analysis and decision making by policy makers. Here, we utilize data analytic techniques to identify the best set of climate change indicator variables that could predict precipitation and temperature data for India. The observed values of important climatic parameters namely, rain, maximum temperature, minimum temperature, and mean temperature in India were analyzed along with the observed values of selected socio-environmental indicators featured by WHO for climate change as exogenous variables for a period of 61 years. Data were pre-processed to identify ten exogenous indicators which were then modelled using Vector Error Correction Model (VECM). 1024 VECM models were built and evaluated for the prediction of the four endogenous variables using all possible combinations of the selected indicators. Seven exogenous variables were determined as the best set of indicators based on the AIC of the different models. The model built using the identified variables was compared to others to illustrate the probable impact of this combination of variables. The study thus demonstrates a simple but rational data-driven approach for use in decision making
Game-theoretical Approaches to Cyber-crime Monitoring
No full textOur society\u27s diploma of reliance on IT and our online world is developing daily. Cyberspace, the call given to the worldwide and dynamic domain, composed of the infrastructure of the statistics era consisting of the net networks and statistics and telecommunications structures has supplied extraordinary globalization that gives new opportunities, but additionally includes new challenges, risks, and threats. Knowledge of its threats, dealing with the risks, and constructing suitable prevention, defense, detection, evaluation, investigation, and recuperation is essential. Given the present-day assessment of the statistics safety and intrusion detection, there\u27s without a doubt a want for a choice and manipulation framework to cope with problems like assault modeling, evaluation of detected threats, and choice of reaction actions. We look at the goals of designing a mathematical version for gamified cybercrime tracking in a community environment