2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)最新文献

{"title":"An Arduino Development Board Based Metal Detecting Robot for Terrestrial Applications","authors":"R. G, Gurulakshmi A B, Kavya A, K. Charishma, Chilaka Bhavya, D. Saikumar","doi":"10.1109/ICIPTM57143.2023.10117844","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117844","url":null,"abstract":"Robots are a sort of automated machine that can do specific tasks with high efficiency and precision with minimal or no human intervention. This piece made use of a number of different technologies and models, including the Arduino development board, GSM, GPS, a bomb/metal detector, driver circuits, an alarm with motors, and a robot model. The purpose of this research is to develop a robot that can identify and neutralize explosive devices. The Metal Detector Robot is a device that searches an area for metal, including landmines, under the control of an Android-based smartphone. Because of the potential for injury or death associated with landmine use, detectors are essential. Using direct sweeping, an antiquated approach for locating landmines, puts the sweeper's feet in grave danger. In this research, a metal detector is built into the robot system to help detect the presence of metal through the use of coil induction when the robot approaches the metal. The LCD interface shows the metal detection rates. The robot moves thanks to a DC motor controlled by a program running on an Arduino UNO. When the robot detects metal, it will sound a buzzer and show the frequency on an LCD screen. The testing results show that the robot can be controlled by an Android-powered smartphone at a distance of up to 15 m.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121314847","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}

{"title":"Role of Educational Data Mining and Learning Analytics Techniques Used for Predictive Modeling","authors":"Kanksha Kaur, Omdev Dahiya","doi":"10.1109/ICIPTM57143.2023.10117779","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117779","url":null,"abstract":"The use of data mining techniques to answer important educational questions is done with educational data mining that may be related to predicting students' performance or assessment. The purpose of these remains to address the goal of meeting and fulfilling the learning objectives. Learning analytics is a new approach for teachers to think about education and involves the visualization of data about students to improve learning. It is related to management strategies that prioritize quantitative measurements, which can sometimes be at odds with a teaching-focused approach to education. The purpose of this study is to perform a systematic literature review of the various techniques used in both educational data mining and learning analytics. The area of educational data mining utilizes data mining techniques to examine educational data. Meanwhile, learning analytics centers on utilizing data to gain knowledge about learning processes and student performance. The review will consider various techniques, including statistical methods, machine learning algorithms, and data visualization techniques, which are commonly used. The goal is to identify the most effective techniques for analyzing educational data and improving student learning outcomes. By performing a systematic literature review, this study will provide an overview of the current state of research in educational data mining and learning analytics. It will also identify gaps in the literature and suggest areas for future research. Ultimately, the findings of this study will be of great value to researchers, educators, and policymakers who are interested in using data to enhance the learning experience. For performing this, a few research questions have been designed to select relevant studies. In this study, the research articles from a decade, 2012 to 2022, are taken into consideration. From the overall search results, 41 studies have been taken into consideration that has addressed the scope and significance of this study.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129381804","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}

{"title":"A Silent Cardiac Atrial Fibrillation Detection and Classification using Deep Learning Approach","authors":"B. Rajesh, Allam Mohan","doi":"10.1109/ICIPTM57143.2023.10117982","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117982","url":null,"abstract":"The electrocardiogram (ECG is a standard method for diagnosing irregular heart rhythms. Abnormalities, such as silent cardiac atrial fibrillation, which is caused by an irregular cardiac cycle, are detected with the aid of ECG signal data. Faster and more accurate results from automated classification and detection of the ECG arrhythmia signal are considered essential. Improvements in model speed and robustness have been achieved through the application of various pre-processing techniques and deep learning abilities. Many researchers have paid attention to the performance of various deep learning approaches on different datasets of ECG signals. But they have overlooked the significance of data pre-processing before feeding it to deep learning models. This research proposes a Residual Network (ResNet) architecture that increases training stability using a combination of resampling and data augmentation techniques. The results have proven that ResNet produces higher accuracy on the PhysioNet MIT-BIH Arrhythmia dataset for the classification of ECG data.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114573950","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}

{"title":"Hybrid Optimization Algorithm to Mitigate Phishing URL Attacks In Smart Cities","authors":"G. Sujatha, Manimuthu Ayyannan, S. Priya, V. Arun, A. Arularasan, M. J. Kumar","doi":"10.1109/ICIPTM57143.2023.10118171","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118171","url":null,"abstract":"To improve the detection of phishing sites, this proposal introduces feature weights for intelligent phishing site detection based on hybrid bio-inspired algorithms. The proposed approach uses Gray Wolf Optimization (GWO) and Firefly Algorithm (FF), which examines a wide range of website attributes, to more precisely identify phishing sites. Then employs Artificial Neural Network (ANN) to classify different website elements according to the importance of each component in differentiating between legitimate and phishing websites using bioinspired-based recommended site feature weights. According to experimental findings, the suggested hybrid bioinspired-based feature weighting greatly improved classification accuracy, true positive (TPR), and negative rates (TNR), as well as precision and F1 score. Phishing is an online crime that entails the gathering of private information like passwords, account numbers, and credit card numbers. Attackers use alluring URLs to entice phony website visitors. Recently, Artificial Intelligence-based phishing detection has seen some success, and in this study, ANN was used to detect phishing. This ANN classifier may make phishing websites simpler to spot. However, it has been shown that the effectiveness of detection can be increased by applying a genetic algorithm to improve feature selection.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126723227","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}

{"title":"Investigative Analysis on the necessity of Electric Vehicles in Indian Automobile Sector","authors":"A. Pawar, N. A. Natraj, G. Hallur","doi":"10.1109/ICIPTM57143.2023.10117708","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117708","url":null,"abstract":"Electric vehicles are an alternative vehicle type that may address the concern of pollution and energy dependency of a developing country like India on the outside world. Deteriorating situations like climate change, greenhouse gases emission, air pollution, decline in air quality and increasing fuel prices have put forth an in-evitable demand for EVs in India. The current situation of the Russia-Ukraine war and its geopolitics has posed a concern in which we should closely observe India's energy (crude) dependency on Western countries. The current situation is the best breeding ground for EVs in India. This paper aims to analyse the EVs market in India, its opportunities, constraints, challenges, and scope for the future in the EVs adoption in the market of India.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"506 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123566407","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}

{"title":"The Traffic Violation Detection System using YoloV7","authors":"S. Harini, M. Suguna, A. T. V. Subramani, Gokila Harini Krishna","doi":"10.1109/ICIPTM57143.2023.10118105","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118105","url":null,"abstract":"In recent time surveys, the deaths and injuries due to traffic violations have increased chiefly in Indian roads. So, this needed the assistance of an automated computer vision-based object detection model, as manually identifying the vehicles violating traffic is hectic. The principle of this paper is to detect multiple violations using single video frames. The input video stream obtained from the surveillance camera is processed and annotated to carry out multiple processes. The dataset used for red-light jumping is COCO and the dataset for over boarding is created by annotating the images obtained from google. The model is trained and the output is visualized using tensorboard. The parameters used are Precision, Recall, F-measure and P-measure. The accuracy for red light skipping is 93% and the mAP value for over boarding is 0.5:0.95. This system utilizes the video stream at its maximum to detect various violations.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131870723","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}

{"title":"Investment Decision Making by Women: Dependence Vs. Sharing of Financial Responsibilities","authors":"Manish Sharma, Shweta Nanda, Sumeet Gupta","doi":"10.1109/ICIPTM57143.2023.10118177","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118177","url":null,"abstract":"The behavior of Women as an investor has been studied worldwide so as their role while taking investment decisions. Many studies highlighted that women are generally risk averse with a conservative attitude and they depend on others while taking investment decisions. Studies also highlighted the role of the husband and male members in the investment decision making by the women investors. On the contrary, there are few set of researchers which highlighted that rather than being dependent on others, women share financial responsibilities with others and take joint investment decisions. This study attempts to answer these questions with the empirical evidence in context of India. The objectives of the study were to identify the extent to which women investors depend on others while taking investment decisions and to examine whether they share financial responsibilities with others while taking investment decisions. 450 responses were collected with the help of a structured questionnaire. Women from the Delhi NCR region were selected using the purposive sampling method. The study highlighted that both husband and wife share responsibility with each other while taking investment decisions. The study also highlights who influences the investment decisions in the family. The study investigated the influence of women and their husbands/others when purchasing investment products such as Bank Deposits, 5 Year Tax Saving FDs, Real Estate, Precious Metals, Public Provident Fund (PPF), National Pension Scheme (NPS), Post Office Savings Schemes, Company Deposits, Debentures or Bonds, Mutual Funds, Pension Schemes, Life Insurance, Equity shares, and derivatives, among others. The study concluded that there are women who completely depend on their husbands or other when it comes to investment decisions, but the statement cannot be generalized as there are women who not only share financial responsibilities but take joint investment decisions.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131774581","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}

{"title":"Optimization based on Genetic Algorithm for maintenance decision of multi-unit system","authors":"Pravin P. Tambe","doi":"10.1109/ICIPTM57143.2023.10118331","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118331","url":null,"abstract":"Maintenance of equipment is one of the most important operational issues that can be focused on to improve productivity. Maintenance cost includes the cost of preventive and corrective maintenance, which may vary depending on how often maintenance is scheduled. This paper describes the maintenance modeling of a system with multiple parts. The objective is to get a minimum-cost decision that meets the machine availability criteria and to be finished within the time allowed for maintenance. A Genetic Algorithm (GA) is used for the decision parameters optimization. The algorithm procedure leads to a maintenance decision; repair, replacement, or no action for system parts. A case study shows how the model can be used in real life.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120856047","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}

{"title":"Penetration of Artificial Intelligence Techniques to Enhance the Agricultural Productivity and the Method of Farming; Opportunities and Challenges","authors":"R. Raman, Sai Mounika Muramulla, Sreelekha Ponugoti, S. O, K. Dhinakaran, Ramu Kuchipudi, C.R.Rene Robin","doi":"10.1109/ICIPTM57143.2023.10118045","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118045","url":null,"abstract":"Each nation's economic sector depends heavily on agriculture. Every day, more people live on the planet, which raises the requirement of food. For the time being, farmers' conventional methods are unable to meet the demand. As a result, new automation techniques are launched to meet these needs and give many people in this industry excellent job prospects. In every industry, including banking, robotics, agriculture, and education, artificial intelligence(AI) has emerged as one of the most crucial technologies. It is playing a very important part in the agriculture sector and changing the agriculture industry. AI protects the agricultural sector from a variety of concerns, including food safety, population expansion, climate change, and employment problems in this industry. Due to AI, the agriculture system of today has advanced to a new level. Real-time crop monitoring, production, harvesting, processing, and marketing have all been enhanced by artificial intelligence. Numerous cutting-edge computer-based systems are created to identify several significant factors, including weed identification, yield identification, crop quality, and many others.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134435765","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}

{"title":"Improvement of a Highly Efficient Class-EF DPA with cross coupled HCN Doherty power Amplifier for Wireless body Area Network","authors":"Kumar Rajesh, Sanjeev Kumar, Kanaujia kumar Binod, H. Olasiuk, Satvik Vats, N. Vihari","doi":"10.1109/ICIPTM57143.2023.10118080","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118080","url":null,"abstract":"This current article explores the design improvement in a Class-Doherty EF Power Amplifier (PA) for Wireless body Area Network application. The cross coupled HCN (CHCN) circuit provide high efficiency and high linearity properties. The Class-EF DPA operation is focused on harmonic termination for efficiency enhancement. Additionally, extend resonance operation. A CHCN circuit is utilized to enhance the gain up to 19.3 dB on the saturation power region. and improve the resonance band operation. The operation allows the power added efficiency to extend to 76 % and output power to 42 dBm. The harmonic spectrum level was obtained at below −30dBm.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114783599","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}