2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)最新文献

{"title":"Challenges of Adopting DevOps Culture on the Internet of Things Applications - A Solution Model","authors":"Awantika Bijwe, P. Shankar","doi":"10.1109/ICTACS56270.2022.9988182","DOIUrl":"https://doi.org/10.1109/ICTACS56270.2022.9988182","url":null,"abstract":"DevOps is a culture that emphasizes team cooperation and encourages enterprises to deliver software product features through automated processes. The Internet of Things paradigm is impulsively and continuously reforming industrial endeavours. DevOps combines continuous integration followed by continuous testing which is then succeeded by continuous deployment and continuous delivery. Continuous monitoring is a nerve ending once the product is delivered. This entire combination helps to produce faster deployments with quality. The DevOps-related challenges in IoT projects are discussed in this paper. The DevOps methodology and its recommended practices are frequently used in combination with version control, monitoring, and alerting at the device level. It has outlined the software architecture for IoT devices. This study reviewed research articles to investigate challenges with the Internet of Things applications related to DevOps framework. This study also tried to explore solutions for those challenges in form of guidelines, practices to adhere to, and models suggested in various available literature. The proposed article identifies important issues that must be resolved to implement the DevOps culture in IoT applications. Additionally, the organizations' cultural difficulties confronted while placing DevOps into practice are studied and a model is developed to provide guidelines. Effectiveness measures under consideration are collaboration, sharing, efficiency, and quality (Business value). So, this study emphasizes the challenges related to these effectiveness measures. According to research, there are several obstacles to implementing a DevOps culture in IoT applications, including poor communication, less no of DevOps experts, weak collaboration, and less management support. This research suggested a new model, Industrial DevOps Maturity Model (IDMM) to provide usage guidelines that can be the solution to existing challenges related to the effectiveness measures faced while using DevOps framework in IoT applications.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132857748","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":"Features and Principle of Operation of Fiber Lasers based on Active Fiber Doped with Rare-Earth Ions","authors":"N. I. Juraeva, D. Davronbekov","doi":"10.1109/ICTACS56270.2022.9988280","DOIUrl":"https://doi.org/10.1109/ICTACS56270.2022.9988280","url":null,"abstract":"A review of the results of studies of fiber lasers, as well as methods for improving the spectral characteristics of fiber-optic communication systems, has been carried out. The principles of operation of fiber lasers and optical transitions between meltiplets of the ground and excited states of rare-earth elements are considered. It is shown that each radiative transition corresponds to a certain wavelength, as well as the wavelength of the radiation of which depends on the type of rare-earth ions doped with impurities.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"62 22","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133087149","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":"Lightweight Deep Learning Model for Traffic Light Detection","authors":"S. Bali, T. Kumar, S. S. Tyagi","doi":"10.1109/ICTACS56270.2022.9988178","DOIUrl":"https://doi.org/10.1109/ICTACS56270.2022.9988178","url":null,"abstract":"Traffic Light Detection is one among the vital applications of Advanced Driving Assistant Systems (ADAS). The objective of traffic light detection is classification and localization of traffic lights present in the real-time images. State of art research outlines that the deep learning models have achieved better results than the traditional methods in detecting the traffic lights but still the techniques suffer from problems of low accuracy, slow speed, small object detection, illumination variations and occluded objects. In this paper Darknet19 feature extractor of You Only Look Once (YOLO) version 2 is replaced with SqueezeNet pretrained model. The. To improve the detection results, K-means clustering algorithm is applied for finding the clusters of bounding boxes of subset of LaRA traffic light dataset that comprises of green and red traffic lights and seven different sized anchor boxes were chosen for experimentation. Data augmentation techniques are also applied for increasing the diversity of the dataset. The proposed model attained mean average precision (mAP@.50) score of 84% and the visual results on the test dataset showed that the traffic lights were detected with increased confidence score with the proposed model in comparison with MobileNetV2, ResNet50 as backbones of the original YOLOv2 model.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116203320","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":"Finding Vulnerabilities in E-Governance Apps of Android Platform","authors":"Abhishek Ankur, Seema Patel","doi":"10.1109/ICTACS56270.2022.9988647","DOIUrl":"https://doi.org/10.1109/ICTACS56270.2022.9988647","url":null,"abstract":"Around the globe, mobile devices like Smartphones, PDAs & tablets are playing an essential role in every person's day to day life. Out of various operating systems, Android OS is one of the most popular and user-friendly operating system for mobile devices. The Government of India is continuously focusing on digitizing its services to the citizen, so that maximum individuals can get benefit of these services and also it removes the middle man culture and minimize the corruption. Inspired by the steps of Government of India, many state governments also works in the same direction and made their services online through mobile applications. In this paper, we have analyzed some mobile applications of Madhya Pradesh Government and an exhaustive assessment has been done for Apps Vulnerability. After analyzing these apps, authors proposed some recommendations in the conclusion of the paper.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116667410","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":"Customer - Churn Prediction Using Machine Learning","authors":"V. Agarwal, Shwetkranti Taware, S. Yadav, Durgaprasad Gangodkar, A. Rao, V. Srivastav","doi":"10.1109/ICTACS56270.2022.9988187","DOIUrl":"https://doi.org/10.1109/ICTACS56270.2022.9988187","url":null,"abstract":"The gradual but consistent decrease in the number of customers retained over time is referred to as “customer churn,” and it is a word that is frequently used in the business and financial sectors. If a company can identify the customers who are most likely to leave, they are more likely to take preventative efforts to keep those customers as clients. It is to the bank's advantage to have knowledge about which customers are theoretically and practically most likely to switch banks in the relatively close future. This article explains how to use machine learning algorithms to identify banking customers who may be considering switching financial institutions. This article demonstrates how machine learning models such as Logistic Regression (LR) and Naive Bayes' (NB) can effectively forecast which customers are most likely to leave the bank in the future by using data such as age, location, gender, credit card information, balance, etc. The article also uses data such as age, location, gender, credit card information, balance, etc. In addition, this article demonstrates the probabilistic predictions that may be generated using machine learning models such as Logistic Regression (LR) and Naive Bayes (NB). The findings of this research ultimately point to the conclusion that NB is superior to LR.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121997147","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":"Photo Paper Based Microstrip Patch Antenna for Telemedicine Application","authors":"S. M, Pavithra N, P. P., Sakthi Priya S","doi":"10.1109/ICTACS56270.2022.9987831","DOIUrl":"https://doi.org/10.1109/ICTACS56270.2022.9987831","url":null,"abstract":"This paper proposes a paper-based flexible antenna for an Intrabody Telemedicine application that operates in the 2.4GHz Industrial, Scientific, and Medical radio (ISM) bands. The key features achieved in this antenna are high flexibility and high gain. The antenna utilizes a photo paper substrate of thickness 0.54mm. Patch and ground made of copper with thickness of 0.03mm which enables us to further decrease the overall thickness hence improving flexibility. Computer Simulation Technology (CST) Microwave Studio software was used to design and analyze the antenna's performance. The dimensions of the antenna are 30mm x 32mm. The antenna operates at 2.4GHz during normal conditions. The S11 characteristics were used to assess the antenna performance in both normal and bending circumstances. The analysis for bent conditions were done by phantom muscle testing and plasma testing which evaluates how to antenna behaves when in contact with skin tissues. By bending the antenna at various curvatures, a computational study was performed. The antenna was able to attain a radiation efficiency of up to 70% with a gain of 2.5dB. During the phantom testing, the efficiency achieved was high. Based on this achieved efficiency, the antenna is found to be suitable for telemedicine applications.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125783417","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":"Commodities Price Prediction using Various ML Techniques","authors":"S. Rani, Sandeep Kumar, V. T, Arpit Jain, A. Swathi, R. M","doi":"10.1109/ICTACS56270.2022.9987967","DOIUrl":"https://doi.org/10.1109/ICTACS56270.2022.9987967","url":null,"abstract":"The progress immensely helped people in rural India with communication technology. People can use the internet or a smart phone to get information. In India, agriculture is the primary job for most people. However, farmers still do not know about the changes in technology in agriculture. Farmers in India have a big problem: they do not get a reasonable crop price. Another big problem is that farmers do not get enough money or a better price for the things they grow. They do not know the market trend or what is happening between markets. Because they do not know what the price will be in the future, they cannot decide when and where to sell their crops. In this article, we proposed a model for estimating commodity prices. By using techniques like Linear Regression, Random Forest, and Decision Trees. The model performed on standard database and achieved an accuracy score of more than 95%.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125207759","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":"Student eHandbook Packet: A Mobile Application for Bulacan State University","authors":"Bernandino P. Malang, Florinda G. Vigonte, Alaina Thea V. Concepcion, Anthony U. Concepcion","doi":"10.1109/ICTACS56270.2022.9987741","DOIUrl":"https://doi.org/10.1109/ICTACS56270.2022.9987741","url":null,"abstract":"This mixed-method research utilizing descriptive-developmental design is about designing and evaluating Student eHandbook Packet Mobile Application employs an agile-scrum methodology for mobile app development. Consultative meetings and Focus Group Discussions were held to obtain data from 16 BulSU administrative council members as the alpha evaluators, 10 IT experts as the beta evaluators, and 43 student leaders as the gamma evaluators chosen using purposive sampling. Results show that the mobile app is excellent in terms of functional suitability ($M=4.72$), performance efficiency ($M=4.78$), compatibility ($M=4.72$), usability ($M=4.80$), reliability ($M=4.67$), security ($M=4.58$), maintainability ($M=4.73$), portability ($M=4.77$) recording a grand mean of 4.72 interpreted as excellent. This means that the application satisfies both software quality standards and end-user requirements. Word cloud analysis suggests that the application is useful to students. Thus, it is ready for adoption. Along with its implementation, it is recommended to conduct an impact analysis of the effectiveness of using the student eHandbook mobile application.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125622547","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":"Health Insurance Amount Prediction Using Supervised Learning","authors":"S. Aggarwal, Anmol","doi":"10.1109/ICTACS56270.2022.9988256","DOIUrl":"https://doi.org/10.1109/ICTACS56270.2022.9988256","url":null,"abstract":"Medical Insurance cost prediction is prime distress. A Medical Insurance company can only make money if it collects quite it spends on the medical aid of its beneficiaries. Medical Insurance companies are troublesome task as determining premiums for his or her customers. Mechanism Knowledge stands a part of Reproduction Intellect and computing which spotlight the consumption of data also controls to imitate the method that persons absorb, increasingly employed on the situation exactness. Prediction means affecting the produce of estimation afterwards the situation consumes be situated arranged on a documented dataset, in addition, original data though computing the likelihood of a particular outcome like whether a customer will mix in thirty days. Comparative analysis of Machine Learning Algorithms. Compare new techniques with existing techniques using various outputs. We will use the dataset for training the model. Which regression gives the best accuracy and who will take less time.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125937551","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":"IOT based Innovative Irrigation using Adaptive Cuckoo Search Algorithm comparison with the State of Art Drip Irrigation to attain Efficient Irrigation","authors":"P. Jahnavi, P. Kalyanasundaram","doi":"10.1109/ICTACS56270.2022.9987981","DOIUrl":"https://doi.org/10.1109/ICTACS56270.2022.9987981","url":null,"abstract":"The main objective of the system is to fabricate a Smart irrigation system which will operate on wireless control to provide sufficient water to the crops, which is automatic and helps in saving water. Comparing the efficiency of silt soil and peat soil using a Cuckoo search algorithm. Materials and method: The groups are taken into account. Group 1 is silt soil and Group 2 is considered with peat soil. A total of 20 samples are taken from 2 groups. G-power is used for analyzing with 985% confidence level, error rate of 0.95. The considered threshold is 0.05. The Significance is observed to be P > 0.05. Result: Comparing silt soil and peat soil, which soil is suitable for horticulture and which among those soils can maintain low% of moisture. Therefore, the Cuckoo Search algorithm offers a minimum percentage of moisture content Conclusion: In the case of horticulture, Silt soil appears to be better than Peat soil. Traditional issues in the horticulture system are overcome by adaptive Cuckoo search algorithms.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127106370","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}