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2022 International Conference on Business Analytics for Technology and Security (ICBATS)最新文献

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An Adaptable Real-Time Object Detection for Traffic Surveillance using R-CNN over CNN with Improved Accuracy 一种基于R-CNN的交通监控自适应实时目标检测方法
2022 International Conference on Business Analytics for Technology and Security (ICBATS) Pub Date : 2022-02-16 DOI: 10.1109/ICBATS54253.2022.9759030
G. Vinod, G. PadmaPriya
{"title":"An Adaptable Real-Time Object Detection for Traffic Surveillance using R-CNN over CNN with Improved Accuracy","authors":"G. Vinod, G. PadmaPriya","doi":"10.1109/ICBATS54253.2022.9759030","DOIUrl":"https://doi.org/10.1109/ICBATS54253.2022.9759030","url":null,"abstract":"Real time object detection in traffic surveillance is one of the latest topics in today’s world using Region based Convolutional Neural Networks algorithm in comparison with Convolutional Neural Networks. Real-Time Object Detection is performed using Regional Convolutional Neural Networks (N=78) over Convolutional Neural Networks (N=78) with the split size of training and testing dataset 70% and 30% respectively. Regional Convolutional Neural Networks had significantly better accuracy (75.6%) compared to Convolutional Neural Networks (47.7%) and attained significance value of p=0.041. Regional Convolutional Neural Networks achieved significantly better object detection than Convolutional Neural Networks for identifying real-time objects in traffic surveillance.","PeriodicalId":289224,"journal":{"name":"2022 International Conference on Business Analytics for Technology and Security (ICBATS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128872351","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: 3
Internet of Things for Smart Solar Energy: An IoT Farm Development 智能太阳能的物联网:物联网农场发展
2022 International Conference on Business Analytics for Technology and Security (ICBATS) Pub Date : 2022-02-16 DOI: 10.1109/ICBATS54253.2022.9759049
Arbaiah Inn, R. Hassan, Zaimah Daud, S. Usman
{"title":"Internet of Things for Smart Solar Energy: An IoT Farm Development","authors":"Arbaiah Inn, R. Hassan, Zaimah Daud, S. Usman","doi":"10.1109/ICBATS54253.2022.9759049","DOIUrl":"https://doi.org/10.1109/ICBATS54253.2022.9759049","url":null,"abstract":"Population growth around the world, has resulted in the demand for food continues to increase from time to time. Enhancing farm productivity is critical for maximizing farm profitability and meeting the growing demand for food supply. To overcome this problem, some thoughtful ideas have been produced by farmers, such as vertical farming which uses less soil and water. Therefore, the purpose of this study conducted is to create an IoT farm also known as the Internet of Things farm. The study consisted of solar farms for renewable energy, automatic and manual irrigation systems for optimal plant growth. The study also helped the problems faced by elderly farmers, where they found it difficult to lift heavy items such as watering and doing manual work. Thus, fully automated farms have been created and the result is IoT farms. By applying IoT farm in agriculture, can help improve farm productivity, increase their harvest rate, and meet the high demand for daily food supply.","PeriodicalId":289224,"journal":{"name":"2022 International Conference on Business Analytics for Technology and Security (ICBATS)","volume":"284 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132367049","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: 3
Adaptively Intelligent Meta-search Engine with Minimum Edit Distance 最小编辑距离的自适应智能元搜索引擎
2022 International Conference on Business Analytics for Technology and Security (ICBATS) Pub Date : 2022-02-16 DOI: 10.1109/ICBATS54253.2022.9759088
Asma Kanwal, Arif Wicaksono Septyanto, Muhammad Hassan Ghulam Muhammad, Raed A. Said, Muhammad Farrukh, Muhammad Ibrahim
{"title":"Adaptively Intelligent Meta-search Engine with Minimum Edit Distance","authors":"Asma Kanwal, Arif Wicaksono Septyanto, Muhammad Hassan Ghulam Muhammad, Raed A. Said, Muhammad Farrukh, Muhammad Ibrahim","doi":"10.1109/ICBATS54253.2022.9759088","DOIUrl":"https://doi.org/10.1109/ICBATS54253.2022.9759088","url":null,"abstract":"In current era retrieval of information has attained high demand due to spectra from websites has abundantly increased. Search Engines are basic tools to get information from the web of data and show irrelevant data causing wastage of time. Considering the fact that time is a precious commodity and is the hallmark of everything around us. To overcome the wastage of time and for its optimum utilization meta-search engines are design. Meta-Search Engine use to fetch relevant data. Existing meta-search engine shows their relevant data based on keywords as well as a semantic query. Semantic query-based results still have some irrelevancy in the results. In this paper, we analyze the semantic query based on machine learning algorithms. This paper hypothesizes improved results through the query expansion mechanism. Author also remove duplicated URLs that come from multiple search engines. Minimum Edit Distance algorithm is used to measure the similarity between titles, snippets and if measuring similarity is more than 0.6 then it must remove that title and snippet. Ranking process, generated retrieval of the relevant document at the top relevant document. Comparative analysis of proposed work is done with existing meta-search engines, overall performance of Intelligent Meta-Search Engine (IMSE) remains 74.17%.","PeriodicalId":289224,"journal":{"name":"2022 International Conference on Business Analytics for Technology and Security (ICBATS)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132509268","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: 3
Intelligent Model to Predict Early Liver Disease using Machine Learning Technique 利用机器学习技术预测早期肝病的智能模型
2022 International Conference on Business Analytics for Technology and Security (ICBATS) Pub Date : 2022-02-16 DOI: 10.1109/ICBATS54253.2022.9758929
Taher M. Ghazal, Aziz Ur Rehman, Muhammad Saleem, Munir Ahmad, Shabir Ahmad, Faisal Mehmood
{"title":"Intelligent Model to Predict Early Liver Disease using Machine Learning Technique","authors":"Taher M. Ghazal, Aziz Ur Rehman, Muhammad Saleem, Munir Ahmad, Shabir Ahmad, Faisal Mehmood","doi":"10.1109/ICBATS54253.2022.9758929","DOIUrl":"https://doi.org/10.1109/ICBATS54253.2022.9758929","url":null,"abstract":"Liver Disease (LD) is the main cause of death worldwide, affecting a large number of people. A variety of factors affect the liver, resulting in this disease. The diagnosis of this condition is both expensive and time-consuming. Machine Learning offers a lot of potential in terms of automated disease diagnosis. As a result, the purpose of this research is to assess the efficacy of various Machine Learning (ML) algorithms to lower the high cost of liver disease diagnosis through prediction. With the current rise in numerous liver disorders, it’s more important than ever to detect liver disease early on. This research proposed intelligent model to predict liver disease using machine learning technique. This proposed model is more effective and comprehensive in terms of performance of 0.884 accuracy, and 0.116 miss-rate.","PeriodicalId":289224,"journal":{"name":"2022 International Conference on Business Analytics for Technology and Security (ICBATS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129712298","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: 92
A Comparative Analysis on Random Forest Algorithm Over K-Means for Identifying the Brain Tumor Anomalies Using Novel CT Scan with MRI Scan 基于K-Means的随机森林算法在新型CT扫描与MRI扫描中识别脑肿瘤异常的比较分析
2022 International Conference on Business Analytics for Technology and Security (ICBATS) Pub Date : 2022-02-16 DOI: 10.1109/ICBATS54253.2022.9759036
N. Vani, D. Vinod
{"title":"A Comparative Analysis on Random Forest Algorithm Over K-Means for Identifying the Brain Tumor Anomalies Using Novel CT Scan with MRI Scan","authors":"N. Vani, D. Vinod","doi":"10.1109/ICBATS54253.2022.9759036","DOIUrl":"https://doi.org/10.1109/ICBATS54253.2022.9759036","url":null,"abstract":"The aim of the work is to identify the brain tumor anomalies by using CT scan with MRI scan. Two machine learning algorithms Random forest algorithm and K-means are used to classify CT scan with MRI images. To achieve maximum accuracy, the sample size n=5 in Random forest and n=5 in Kmeans was iterated 10 times for efficient and accurate analysis on MRI images with G power in 80% and threshold 0.05%, CI 95% mean and standard deviation. The experimental results show that the Random forest algorithm with mean accuracy of 84% is compared with the K-means classifier algorithm of mean accuracy 72%. There is a statistically significant difference between the study groups with (P<0.05). Based on the results achieved, the Random Forest classification algorithm better identifies brain tumor anomalies than the K-means classifier algorithm.","PeriodicalId":289224,"journal":{"name":"2022 International Conference on Business Analytics for Technology and Security (ICBATS)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133311497","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: 1
An IoMT based Ensemble Classification Framework to Predict Treatment Response in Hepatitis C Patients 基于IoMT的集成分类框架预测丙型肝炎患者的治疗反应
2022 International Conference on Business Analytics for Technology and Security (ICBATS) Pub Date : 2022-02-16 DOI: 10.1109/ICBATS54253.2022.9759059
Taher M. Ghazal, Sagheer Abbas, Munir Ahmad, Shabib Aftab
{"title":"An IoMT based Ensemble Classification Framework to Predict Treatment Response in Hepatitis C Patients","authors":"Taher M. Ghazal, Sagheer Abbas, Munir Ahmad, Shabib Aftab","doi":"10.1109/ICBATS54253.2022.9759059","DOIUrl":"https://doi.org/10.1109/ICBATS54253.2022.9759059","url":null,"abstract":"Hepatitis C is considered a deadly disease as mortality rate in the patients suffering from this disease is very high, if not properly treated. This research proposes an IOMT based ensemble classification framework for the prediction of treatment response of a drug: “L-Ornithine-L-Aspartate” (LOLA) in hepatitis c patients. The treatment with this drug is called LOLA therapy which is significant for the patients to recover from the effects of hepatitis c disease. To implement the proposed framework, we used the medical data of hepatitis c patients who are being treated with LOLA therapy. The proposed framework integrates the predictive accuracy of two supervised machine learning techniques: Support Vector Machine (SVM) and Decision Tree (DT) by using Voting ensemble technique. The results reflect that the proposed ensemble framework performed well as compared to other published techniques on the prediction of treatment response for hepatitis c disease.","PeriodicalId":289224,"journal":{"name":"2022 International Conference on Business Analytics for Technology and Security (ICBATS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126675706","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: 43
Novel Patient Monitoring System using Artificial Neural Networks technique comparing with Time Series Analysis 采用人工神经网络技术与时间序列分析相比较的新型病人监护系统
2022 International Conference on Business Analytics for Technology and Security (ICBATS) Pub Date : 2022-02-16 DOI: 10.1109/ICBATS54253.2022.9759071
B. Kumar, T.P. Anithaashri
{"title":"Novel Patient Monitoring System using Artificial Neural Networks technique comparing with Time Series Analysis","authors":"B. Kumar, T.P. Anithaashri","doi":"10.1109/ICBATS54253.2022.9759071","DOIUrl":"https://doi.org/10.1109/ICBATS54253.2022.9759071","url":null,"abstract":"Aim: To enhance patient monitoring system using Artificial neural network technique to compare the performance of the same with time series analysis. Materials and methods: The Artificial Neural Network(ANN) technique is used to deal with patient data extracted from physical tests and real-time tests in hospitals to improvise patient monitoring systems with the novelty in terms of interaction with patients and patient readmission status ANN. The implementation has been carried out using the anaconda navigator tool. The algorithms tested over more than 700 sets of patient test data and train data which has been utilized to analyse the performance. Result: The analysis of the data sets and the patient readmission status by feature extraction has been carried out successfully and acquired 80% accuracy using artificial neural network technique and compared to time series analysis, which gave 66% accuracy. With the level of significance (p<0.05), the resultant data depicts the reliability in independent sample t-tests. Conclusion: Implemented novel patient monitoring system using the ANN technique is more significant than a time series analysis in terms of accuracy. SPSS analysis helped to depict the reliability of data with the dependent variable of accuracy and independent variables of loss.","PeriodicalId":289224,"journal":{"name":"2022 International Conference on Business Analytics for Technology and Security (ICBATS)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115949110","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
Mapping of Agile Processes into Project Management Knowledge Areas and Processes 将敏捷过程映射到项目管理知识领域和过程中
2022 International Conference on Business Analytics for Technology and Security (ICBATS) Pub Date : 2022-02-16 DOI: 10.1109/ICBATS54253.2022.9759013
Rafia Imran, Tariq Rahim Soomro
{"title":"Mapping of Agile Processes into Project Management Knowledge Areas and Processes","authors":"Rafia Imran, Tariq Rahim Soomro","doi":"10.1109/ICBATS54253.2022.9759013","DOIUrl":"https://doi.org/10.1109/ICBATS54253.2022.9759013","url":null,"abstract":"In the world of Information Technology to keep up with fast pace and constant changes the updated knowledge of processes and techniques is the essential requirement. For constant changes and successful delivery of projects the software project management techniques and framework were introduced. Currently many different process models exist which are selected and implemented according to the needs of project and organizations. To bring uniformity in project management processes PMI introduced Project management framework consisting of 10 knowledge areas and 5 processes. The framework consists of all aspects of the project management and processes which are required to be followed for the delivery of project from initiation of the project till the closure of the project. The other most popular software project management is Agile project management which emphasis on delivery in phases and releases known as sprints. The agile processes consist of Scrum, XP, Lean, Kanban, Crystal; Agile unified Process and many more. The agile process flow consists of six processes but the main lacking found in these processes was the unified framework to be followed by Agile Masters and Project managers. In this research, the Project management 10 knowledge areas and 5 processes have been mapped with the processes of Agile project management to propose Agile project management framework. A survey was also to get insight view of the individuals regarding agile project management and where the agile project management lacks focus in comparison with traditional project management. Agile Project management is an extensive and vast topic on which further research is required to be carried out to further polish these processes according the needs of the project. In future, more extensive research can be carried out on the artifacts required for agile project management, their template.","PeriodicalId":289224,"journal":{"name":"2022 International Conference on Business Analytics for Technology and Security (ICBATS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116300154","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: 3
An Efficient Fuzzy Logic Modelling of TiN Coating Thickness TiN涂层厚度的一种有效模糊逻辑建模方法
2022 International Conference on Business Analytics for Technology and Security (ICBATS) Pub Date : 2022-02-16 DOI: 10.1109/ICBATS54253.2022.9759094
Ahmed Abu-Khadrah
{"title":"An Efficient Fuzzy Logic Modelling of TiN Coating Thickness","authors":"Ahmed Abu-Khadrah","doi":"10.1109/ICBATS54253.2022.9759094","DOIUrl":"https://doi.org/10.1109/ICBATS54253.2022.9759094","url":null,"abstract":"In this paper, fuzzy logic was implemented as a proposed approach for modelling of Thickness as an output response of thin film layer in Titanium Nitrite (TiN). The layer was deposited using Physical Vapor Deposition (PVD) process that uses a sputtering technique to coat insert cutting tools with TiN. Central cubic design (CCD) was used for designing the optimal points of the experiment. In order to develop the fuzzy rules, the experimental data that collected by PVD was used. Triangular membership functions (Trimf) were used to develop the fuzzy prediction model. Residual error (e) and prediction accuracy (A) were used for validating the result of the proposed fuzzy model. The result of the developed fuzzy model with triangular membership function revealed that the average residual error of 0.2 is low and acceptable. Furthermore, the model obtained high prediction accuracy with 90.04%. The result revealed that the rule-based model of fuzzy logic could be an efficient approach to predict coatings layer thickness in the TiN.","PeriodicalId":289224,"journal":{"name":"2022 International Conference on Business Analytics for Technology and Security (ICBATS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116553004","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
Hybrid Working Method: An Integrative Review 混合工作方法:综合综述
2022 International Conference on Business Analytics for Technology and Security (ICBATS) Pub Date : 2022-02-16 DOI: 10.1109/ICBATS54253.2022.9759041
Karamath Ateeq
{"title":"Hybrid Working Method: An Integrative Review","authors":"Karamath Ateeq","doi":"10.1109/ICBATS54253.2022.9759041","DOIUrl":"https://doi.org/10.1109/ICBATS54253.2022.9759041","url":null,"abstract":"Hybrid working is the combination of working both from an office and from home wherever the roles will allow and wherever they work best, Greater control on working styles and flexibility at work are the core reasons to choose hybrid working model in organizations. The intention of the paper is to investigate hybrid working, different types of teleworks and flexible work arrangements that are been followed in the organizations by reviewing the papers that are published from last one decade which resulted in improved employee wellbeing, productivity, work life balance, work and non-work balance, individual and team performance, positive and negative work home interaction and employee turnover. After examining the results of the earlier research on hybrid working, telework and flexible work arrangements it was found that employees are highly recommending the organizations to encourage work from home policies and make adjustment in the working culture of the organization in order to survive in this competitive world by retaining their top talented work force","PeriodicalId":289224,"journal":{"name":"2022 International Conference on Business Analytics for Technology and Security (ICBATS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128545022","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: 1
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