International Research Journal on Advanced Engineering and Management (IRJAEM)最新文献

Real or Fake Job Posting Detection 真假职位发布检测

International Research Journal on Advanced Engineering and Management (IRJAEM) Pub Date : 2024-08-09 DOI: 10.47392/irjaem.2024.0361

K. Sridevi, G. Likitha, P. Chandana, Shrutika Shamarthi

{"title":"Real or Fake Job Posting Detection","authors":"K. Sridevi, G. Likitha, P. Chandana, Shrutika Shamarthi","doi":"10.47392/irjaem.2024.0361","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0361","url":null,"abstract":"This research presents a machine learning approach to distinguish between legitimate and fraudulent job postings in the recruiting sector. The dataset used, labelled as 'authentic list,' comprises approximately 17,880 entries from Kaggle and includes various attributes such as job title, location, salary range, company profile, job description, industry, and indicators of fraudulent activity in job advertisements. The proposed methodology begins with Exploratory Data Analysis (EDA) to gain insights into the multi-class classification of different features and to identify correlations within the dataset. Data pre-processing techniques, including Natural Language Processing (NLP), are employed to prepare the datasets for training and testing. Several machine learning algorithms such as K-Nearest Neighbours (KNN), Support Vector Machine (SVM), Random Forest, Logistic Regression, Naive Bayes, and AdaBoost are used to classify job listings as legitimate or fraudulent. The performance of each classifier is evaluated using qualitative metrics such as accuracy, precision, recall, F1-score, selectivity, and specificity. The results show the effectiveness of the system, achieving an accuracy of 99.20% in classifying job postings using the Random Forest classifier.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":"23 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141925034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Digital Archiving of Learner’s Credentials Using Discrete Cosine Transform Algorithm 使用离散余弦变换算法对学员证书进行数字化存档

International Research Journal on Advanced Engineering and Management (IRJAEM) Pub Date : 2024-08-09 DOI: 10.47392/irjaem.2024.0362

Leilanie Ann F. Francisco

{"title":"Digital Archiving of Learner’s Credentials Using Discrete Cosine Transform Algorithm","authors":"Leilanie Ann F. Francisco","doi":"10.47392/irjaem.2024.0362","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0362","url":null,"abstract":"Digital archiving has revolutionized the preservation and accessibility of handling different forms of data in the digital age. This study investigates the efficacy of storing and retrieving submitted documents using Full-Text Indexing and Boolean Search for searching and retrieval of documents uploaded and Discrete Cosine Transform (DCT) algorithm for the context of image compression evaluated using ISO 25010 standard and user acceptability test. Through a comparative analysis from a series of related studies, this research study identifies common challenges, innovative approaches and algorithms in digital archiving useful in automated storage and retrieval. Unified process model that includes use case diagram, sequence diagram and activity diagram were adapted for requirement analysis while black box testing and white box for testing operation. ISO 25010 standard and user acceptability test were utilized for system evaluation where respondents were chosen through purposive sampling technique. Respondents were the target end users with the participation of IT practitioners who are knowledgeable enough in system development and the system’s full functionality. Results show that this study solves the underlying problems on storage and retrieval, thus limiting duplication of submitted documents. Findings highlight that functional suitability, reliability, portability, usability, performance efficiency, security, compatibility and maintainability of the system conforms to the ISO 25010 standard, easing the burden in handling documents submission and easily retrieving it.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":"70 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141922267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Route Optimization Application – An Efficient Transport Solution 路线优化应用--高效的运输解决方案

International Research Journal on Advanced Engineering and Management (IRJAEM) Pub Date : 2024-08-09 DOI: 10.47392/irjaem.2024.0363

Kovvuri Ramya Sri, K Madhavi, M Jyothi, Amthul Muqeeth Hazira, P Nishitha, V Charithasree

引用次数: 0

Apriori-Based Prefetching Files for Caching 基于 Apriori 的预取文件缓存

International Research Journal on Advanced Engineering and Management (IRJAEM) Pub Date : 2024-07-26 DOI: 10.47392/irjaem.2024.0339

Prajwal Said, Ketaki Naik, Nupur Agrawal, Srushti Bhoite, Sayali Shelar

{"title":"Apriori-Based Prefetching Files for Caching","authors":"Prajwal Said, Ketaki Naik, Nupur Agrawal, Srushti Bhoite, Sayali Shelar","doi":"10.47392/irjaem.2024.0339","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0339","url":null,"abstract":"The project proposes an innovative solution aimed at optimizing file system performance through predictive caching techniques integrated with a Graphical User Interface (GUI). The GUI facilitates user interaction by offering functionalities such as browsing files and displaying performance metrics via graphical representations of bandwidth and Input/Output Operations Per Second (IOPS). The functionality revolves around dynamically determining file placement on Solid State Drives (SSDs) or Hard Disk Drives (HDDs). The system employs predictive caching to identify frequently accessed files, ensuring faster retrieval by storing them on SSDs. Conversely, less frequently accessed files are allocated to HDDs. The project utilizes the Flexible I/O (fio) tool to measure the performance of files accessed on both SSDs and HDDs. Furthermore, to obtain insights and relationships between different files within the dataset, the project incorporates the Apriori algorithm. By analyzing structured relationships, the algorithm provides valuable intelligence for optimizing file placement decisions, enhancing overall system efficiency and adjust caching strategies to adapt to changing access patterns. By dynamically adapting file placement strategies based on access patterns and leveraging advanced algorithms for intelligent decision-making, the system endeavors to enhance user experience and system efficiency in managing file operations.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":"116 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141802254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Study on Indian Gold price and Stock Market Volatility 印度黄金价格与股市波动研究

International Research Journal on Advanced Engineering and Management (IRJAEM) Pub Date : 2024-07-25 DOI: 10.47392/irjaem.2024.0337

Tanmay Sarker

{"title":"A Study on Indian Gold price and Stock Market Volatility","authors":"Tanmay Sarker","doi":"10.47392/irjaem.2024.0337","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0337","url":null,"abstract":"Gold has multiple attributes and its price is affected by various factors in the market. The Indian stock market is highly volatile. The effect of one market on another market is not new. However, the variations in the degree of impact and co-movement between the market need to be examined. Given the importance of gold in India, there are significant issues in a portfolio selection in the country. The Stock market price can be used to predict the gold price. This study examines the gold price volatility and the causal relationship between gold prices and stock market returns in India. Taking into consideration the domestic gold prices and stock market returns based on NSE and BSE, the study investigates the simple relationship between gold price, BSE and NSE for the period from 2013-14 to 2023-24. Indians have started considering gold not only as jewellery but also an important mode of investment like investment in bonds, equities and shares. The analysis concludes that there is no short-term causal link between the price of gold and the price of stocks. Nonetheless, the co-integration of the gold price and the stock market price suggests a long-term relationship and their mutual movement.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":"46 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141803745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Comparative Study of Green and Conventional Synthesis of Schiff Base And its Metal Complexes from 3, 5-Dichloro Aniline And 3-Chloro-4 Fluroaniline 以 3,5-二氯苯胺和 3-氯-4-氟苯胺为原料合成希夫碱及其金属配合物的绿色方法与传统方法的比较研究

International Research Journal on Advanced Engineering and Management (IRJAEM) Pub Date : 2024-07-25 DOI: 10.47392/irjaem.2024.0336

Shailakshi, Rosmi Tees, Gloria D'souza, Dr Sapna kumari M, Dr Geetha M Pinto, Priya

引用次数: 0

Detection of Lane and Speed Breaker Warning System for Vehicles Using Machine Learning 利用机器学习检测车辆的车道和超速警告系统

International Research Journal on Advanced Engineering and Management (IRJAEM) Pub Date : 2024-07-25 DOI: 10.47392/irjaem.2024.0338

Prof. K. S. Sawant, Sandhya Bhakare, Puja Bharane, Prachi Borse, Anuja Naphade

{"title":"Detection of Lane and Speed Breaker Warning System for Vehicles Using Machine Learning","authors":"Prof. K. S. Sawant, Sandhya Bhakare, Puja Bharane, Prachi Borse, Anuja Naphade","doi":"10.47392/irjaem.2024.0338","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0338","url":null,"abstract":"With the rapid advancement of vehicle technologies, ensuring the safety of these vehicles on roads has become a paramount concern. One of the critical aspects of safe driving is the accurate detection of lanes and potential road hazards, such as speed breakers. In this study, we propose a Lane and Speed Breaker Warning System (LSBWS) that employs machine learning algorithms to enhance the perception capabilities of vehicles. The LSBWS utilizes a combination of computer vision and machine learning techniques to detect and analyze road lanes, speed breakers in real-time and also a real time object detection on road. The system utilizes a camera sensor to capture the road scene ahead and then employs image processing algorithms to identify lane markings and speed breakers, objects on road. Random Sample Consensus Algorithm is used for the lane detection and tracking for speed breaker detection YOLOv4 is employed to accurately detect and classify these features within the captured images and for the object detection YOLOv5 is used for detecting the real time objects and classify them.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":"102 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141802578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Digital Fortress - Web Application Malware Detection 数字堡垒 - 网络应用程序恶意软件检测

International Research Journal on Advanced Engineering and Management (IRJAEM) Pub Date : 2024-07-23 DOI: 10.47392/irjaem.2024.0334

P. V. Kishore Kumar, K. vamsi, J. manasa, S. D V Swaroop, V. gayatri

{"title":"Digital Fortress - Web Application Malware Detection","authors":"P. V. Kishore Kumar, K. vamsi, J. manasa, S. D V Swaroop, V. gayatri","doi":"10.47392/irjaem.2024.0334","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0334","url":null,"abstract":"Currently, the risk of network information insecurity is increasing rapidly in number and level of danger. The method mostly used by hackers today is to attack end to end technology and exploit human vulnerabilities. These techniques include social engineering, phishing, pharming, etc. one of the steps in conducting these attacks is to deceive users with malicious Uniform Resource Locators (URLs). As results, malicious URL detection is of great interest nowadays. there have been several scientific studies showing a number of methods to detect malicious URLs based on machine learning and deep learning techniques. In this paper, we propose a malicious URL detection method using machine learning techniques based on our proposed URL behavior and attributes. moreover, bigdata technology is also exploited to improve the capability of detection malicious URLs based on abnormal behaviour. In short, the proposed detection system consists of a new set of URLs features and behavior, a machine learning algorithm, and a bigdata technology. the experimental results show that the proposed URL attributes and behaviour can help improve the ability to detect malicious URL significantly. This is suggested that the proposed system may be considered as an optimized and friendly used solution for malicious URL detection.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":"66 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141810756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Energy Budget in Terms of ATP, ADP, AMP, and Energy Charge In The Osmoregulatory Tissues of Indian Major Carp Catla catla (Hamilton) Under Thermal-Stress And Thermal-Adaptation 热应激和热适应条件下印度大鲤鱼（Catla catla (Hamilton)）渗透调节组织中的 ATP、ADP、AMP 和能量电荷的能量预算

International Research Journal on Advanced Engineering and Management (IRJAEM) Pub Date : 2024-07-23 DOI: 10.47392/irjaem.2024.0335

Dr.D. Sujatha, Dr. D. Umamaheswari, Dr.D. Vijayalakshmi

{"title":"Energy Budget in Terms of ATP, ADP, AMP, and Energy Charge In The Osmoregulatory Tissues of Indian Major Carp Catla catla (Hamilton) Under Thermal-Stress And Thermal-Adaptation","authors":"Dr.D. Sujatha, Dr. D. Umamaheswari, Dr.D. Vijayalakshmi","doi":"10.47392/irjaem.2024.0335","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0335","url":null,"abstract":"The heat-adapted (32°C) Catla catla registered as increased level of ATP and energy charge with concomitant lower levels of ADP, and AMP when compared to cold-adapted (22°C) fishes. All the osmoregulatory tissues like the gill, kidney, and intestine indicate greater ATP turnover adaptation to higher temperatures. In order to differentiate thermal stress from thermal adaptation, the 22°C adapted were readapted to a temperature change of 22°C 32°C at the rate of 1°C/hour as in the case of stress and at the rate of l°C/ 60 hrs as in the case of adaptation During the time course of experiments there is a gradual stepping-up in the levels of ATP and energy charge and a gradual stepping-down in ADP and AMP in all tissues. Further, there is a complete filling-up process in ATP and values reached gradually the original level of these parameters of the control of 32°C adapted fishes. The heat-adapted fishes exhibited a fairly good amount of recovery ranging from 83% to 88% in these adenylate nucleotides. On the other hand, in the temperature-stressed fishes the adenylate nucleotides did not reach the control values and the filling processes with ATP could not be completed. Further, the % recovery in these parameters is far less 47 % to 57%, when compared to temperature adapted fishes. The continuous thermal-stress (1°C/hour) action upon this fish Catla catla resulted in stress-adaptation (adaptation resulted due to stress).","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":"10 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141813513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization of GMAW Processes in Robotic Welding: A Case Study from Automotive Manufacturing 优化机器人焊接中的 GMAW 工艺：汽车制造案例研究

International Research Journal on Advanced Engineering and Management (IRJAEM) Pub Date : 2024-07-23 DOI: 10.47392/irjaem.2024.0332

Krishna Mohan Kumar, Siddharth, Vimlesh Kumar Ojha

引用次数: 0