2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)最新文献

Microwave Single Ring Resonating Sensor for Food Sensing 用于食品传感的微波单环谐振传感器

2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS) Pub Date : 2021-12-16 DOI: 10.1109/CSITSS54238.2021.9683666

P. Manjunath, S. P

引用次数: 1

Analysis of Machine Learning Algorithms by Developing a Phishing Email and Website Detection Model 基于网络钓鱼电子邮件和网站检测模型的机器学习算法分析

2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS) Pub Date : 2021-12-16 DOI: 10.1109/CSITSS54238.2021.9683131

Nimisha Dey, S. Samhitha, Malavika Hariprasad, Anagha Anand, Veena Gadad

{"title":"Analysis of Machine Learning Algorithms by Developing a Phishing Email and Website Detection Model","authors":"Nimisha Dey, S. Samhitha, Malavika Hariprasad, Anagha Anand, Veena Gadad","doi":"10.1109/CSITSS54238.2021.9683131","DOIUrl":"https://doi.org/10.1109/CSITSS54238.2021.9683131","url":null,"abstract":"Machine Learning is a key branch of Artificial Intelligence that concentrates on the development of computational algorithms by creating models. It has caught major attention in the technological domain due to its various applications in speech recognition, recommendation engines, computer vision, automated stock trading etc. The model’s performance is dependent on the dataset provided and its accuracy can easily be enhanced by expanding the training dataset. Post Covid-19, it has been observed that phishing websites are appallingly on the rise, especially the phishing attacks. These attacks are caused by cybercriminals using PDF’s, Microsoft office documents and other attachments via emails. This paper focusses on discussion and comparison of different machine learning algorithms that are capable of detecting phishing emails and websites. The experiments have shown that that MultinomialNB attains the highest efficiency of 98.06% for phishing email detection and Decision Tree Classifier offers the maximum efficiency of 95.41% for phishing website detection.","PeriodicalId":252628,"journal":{"name":"2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116556844","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

PROFCAD: An Algorithm to Detect Anomalies in Cloud Applications for KPI Monitoring Systems PROFCAD:一种用于KPI监控系统的云应用异常检测算法

2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS) Pub Date : 2021-12-16 DOI: 10.1109/CSITSS54238.2021.9682911

Rameshwar Garg, Chandana Kiran Ambekar, Kaustuv Saha, Girish Rao Salanke N S

{"title":"PROFCAD: An Algorithm to Detect Anomalies in Cloud Applications for KPI Monitoring Systems","authors":"Rameshwar Garg, Chandana Kiran Ambekar, Kaustuv Saha, Girish Rao Salanke N S","doi":"10.1109/CSITSS54238.2021.9682911","DOIUrl":"https://doi.org/10.1109/CSITSS54238.2021.9682911","url":null,"abstract":"Cloud based applications have a lot of advantages over traditional applications in terms of usability and cost, and have become the norm in today’s technological world. With the emergence of such services, it has become critical to make sure that they guarantee high availability. Analysing these applications and their performance indicators is one way to make sure that they are running smoothly. Machine learning techniques such as anomaly detection can be used to make sure that the Key Performance Indicators are behaving normally. In this paper, we propose a novel algorithm based on supervised learning to detect and identify anomalies in KPI data. PROphet Forest Combination for Anomaly Detection is a three stage model, based on forecasting, feature engineering and classification. We evaluate the performance of the model with two time series datasets which capture real traffic communications. Our model has been able to detect anomalies accurately and has performed well in comparison with the other state of the art anomaly detection algorithms.","PeriodicalId":252628,"journal":{"name":"2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129047111","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

Machine Learning Techniques for Multisource Plagiarism Detection 多源抄袭检测的机器学习技术

2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS) Pub Date : 2021-12-16 DOI: 10.1109/CSITSS54238.2021.9683752

Akhil Eppa, Anirudh Murali

{"title":"Machine Learning Techniques for Multisource Plagiarism Detection","authors":"Akhil Eppa, Anirudh Murali","doi":"10.1109/CSITSS54238.2021.9683752","DOIUrl":"https://doi.org/10.1109/CSITSS54238.2021.9683752","url":null,"abstract":"Taking someone else’s work and claiming it as your own is termed as plagiarism. Plagiarism is a concerning issue in every field of education. There are various tools to detect plagiarism and help maintain the necessary integrity. Specifically, multisource plagiarism is when one copies from multiple resources and mixes them and presents it and hence is challenging to detect accurately. This paper deals with detecting multisource plagiarism in the specific category of C programming assignments. The approach used in this paper is to compare programs at the function level using an attention-based model to extract features from the program. By making comparisons at the function level, it is possible to detect plagiarism from multiple sources by performing a one-to-many mapping instead of the regular one to one mapping. The DBSCAN clustering algorithm is then used to find groups of similar submissions based on the extracted features, using point density in the vector space to cluster submissions. This approach brings a new dimension to multisource plagiarism detection, which is not handled by popular existing tools.","PeriodicalId":252628,"journal":{"name":"2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126806393","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

HydroIoT: An IoT and Edge Computing based Multi-Level Hydroponics System HydroIoT:基于物联网和边缘计算的多层次水培系统

2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS) Pub Date : 2021-12-16 DOI: 10.1109/CSITSS54238.2021.9683621

Sanket Salvi, S. Savitha, Samyak Sawargaonkar, B. Vishwas, T. K. Harshitha, S. A. Pramod Jain

引用次数: 1

Design, optimization and simulation of non-resonant slotted waveguide antenna for X-band x波段非谐振波导天线的设计、优化与仿真

2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS) Pub Date : 2021-12-16 DOI: 10.1109/CSITSS54238.2021.9683791

Tejaswi Karadi, K. Sreelakshmi, Amlesh Kumar Singh

{"title":"Design, optimization and simulation of non-resonant slotted waveguide antenna for X-band","authors":"Tejaswi Karadi, K. Sreelakshmi, Amlesh Kumar Singh","doi":"10.1109/CSITSS54238.2021.9683791","DOIUrl":"https://doi.org/10.1109/CSITSS54238.2021.9683791","url":null,"abstract":"The main aim of the project is to design the antenna which provide maximum gain and coverage for military applications. This paper presents the design, optimization and simulation of non-resonant slotted waveguide antenna with optimized side lobe levels in X-band region. It is very compact and easy to handle. The proposed antenna has simple feed system to avoid the complexity in case of resonant or standing wave slotted waveguide antenna. A single travelling or non- resonant antenna consists of 64 slots or radiating elements. Instead of using many small antennas, a single antenna with many slots is used. Taylor’s aperture distribution is used to achieve an ultralow side lobe level (SLL) of -25dB. Based on previous works carried on slotted waveguide antenna it is seen that by choosing the proper place on waveguide and by choosing specified shape, size, orientation and position of slots on the waveguide, the radiation and realized gains can be varied. By keeping this as the main agenda we have designed antenna by starting with simple 1 slot waveguide to till 64 slot waveguide and considered 5 different cases to obtain the optimized design and results. Results for all the 5 different cases considering a simple 1 slot waveguide to till 64 slots waveguide are clearly presented in this paper and observed to reach an optimized level.","PeriodicalId":252628,"journal":{"name":"2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124487529","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

Edu-bot: An AI based Smart Chatbot for Knowledge Management System edubot:基于AI的知识管理系统智能聊天机器人

2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS) Pub Date : 2021-12-16 DOI: 10.1109/CSITSS54238.2021.9683011

Rachana G Kummar, Suhas J Shetty, S. Vishwas, P. J. Vismith Upadhya, Jyoti R. Munavalli

{"title":"Edu-bot: An AI based Smart Chatbot for Knowledge Management System","authors":"Rachana G Kummar, Suhas J Shetty, S. Vishwas, P. J. Vismith Upadhya, Jyoti R. Munavalli","doi":"10.1109/CSITSS54238.2021.9683011","DOIUrl":"https://doi.org/10.1109/CSITSS54238.2021.9683011","url":null,"abstract":"The pandemic has brought in a lot of changes in various aspects of human life. Every sector has been affected by this and so is the educational sector. Organizing and accessing of documents was one of the challenges that students faced during the pandemic. To overcome this problem, we propose an AI system that is equipped with a chatbot. In this study, we develop a smart knowledge management system that authenticates the user via face recognition, then a chatbot helps the users in searching and accessing the required document easily. Face Recognition is implemented using libraries such as OpenCV, Tensorflow and Face_Recognition. Face_Recognition Library provided the highest accuracy so it was used in the smart knowledge management system. A chatbot was implemented to search and access the study materials such as notes, textbooks and question banks from a particular destined folder through the hyperlinks created. To make the system user friendly, GUI was designed using Tkinter library. This AI based smart knowledge management system provides access to the required document very effectively and effortlessly.","PeriodicalId":252628,"journal":{"name":"2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121974230","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: 2

Foot Step Power Generation Using Piezoelectric Materials 利用压电材料的脚踏式发电

2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS) Pub Date : 2021-12-16 DOI: 10.1109/CSITSS54238.2021.9682844

Baswaraj Gadgay, D. Shubhangi, H. Abhishek

{"title":"Foot Step Power Generation Using Piezoelectric Materials","authors":"Baswaraj Gadgay, D. Shubhangi, H. Abhishek","doi":"10.1109/CSITSS54238.2021.9682844","DOIUrl":"https://doi.org/10.1109/CSITSS54238.2021.9682844","url":null,"abstract":"As electrical energy utilization is expanding dramatically. Consequently, the need of a secure and financially reasonable force age and dissemination framework requests a specific interest. This paper proposes a model that utilizes human strolling, hopping and running as a well spring of energy and stores it for fundamental use. Such a model is able in demography that of a nation like India which has a particularly immense person on foot populace. This paper represents a technique for gathering this human headway energy with the utilization of piezoelectric sensor and shows an application with the put away energy for example to charge a cell phone safely and also used to glow an LED based on the motion using the passive infrared sensor. The ground response power (GRF) applied from the foot, when changed over to voltage by piezoelectric sensors is sufficiently fit to control up a device. Progressive effort prompts a periodic voltage develop which with appropriate hardware can be utilized to charge a capacity battery. The force created by this method can likewise be utilized in essential application, for example, road lighting, notice sheets, exercise centers and different spaces of public area. It likewise advances efficient power energy and climate agreeable methodology towards energy age. In this paper we have given the essential idea and configuration subtleties of this model and a fundamental execution of the equivalent.","PeriodicalId":252628,"journal":{"name":"2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130455635","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: 14

Monitoring and Alert Systems for Underwater Data Centers using Arduino 基于Arduino的水下数据中心监测和警报系统

2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS) Pub Date : 2021-12-16 DOI: 10.1109/CSITSS54238.2021.9683449

Yashas Kadambi, R. Vishal, Roopa Ravish

{"title":"Monitoring and Alert Systems for Underwater Data Centers using Arduino","authors":"Yashas Kadambi, R. Vishal, Roopa Ravish","doi":"10.1109/CSITSS54238.2021.9683449","DOIUrl":"https://doi.org/10.1109/CSITSS54238.2021.9683449","url":null,"abstract":"Demand for cloud computing is increasing day by day and cloud service providers are searching for faster, more efficient ways of resolving customer requests. Microsoft achieved this by submerging servers inside a sealed pod in the sea. These pods process user requests, store user data and hence it is critical to protect it from damage. Pods must monitor their overall health and detect any external threats that would damage their structure. This paper proposes a new idea for underwater datacenters called Monitoring and Alert System for Underwater Data Center (MASUD) using Internet of Things (IoT). MASUD uses an array of sensors paired with a microcontroller like arduino. The sensors work together to monitor the pod’s health by checking if all sensor readings are below the threshold value. MASUD also secures the pod from any external threats by detecting threats and the severity is measured by keeping track of the distance between the pod and threat. Using redundant sensors allows the system to function properly even in the case of an arduino failure. Monitoring pod health is of importance as any failed server inside the pod is irreplaceable for the duration of the pod’s lifetime. Thus increasing the server’s lifespan and reducing the server downtime.","PeriodicalId":252628,"journal":{"name":"2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132649898","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: 2

Detection of Anomalies in Time Series Data 时间序列数据异常的检测

2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS) Pub Date : 2021-12-16 DOI: 10.1109/CSITSS54238.2021.9683715

S. Karthik, H. Supreetha, S. Sandhya

{"title":"Detection of Anomalies in Time Series Data","authors":"S. Karthik, H. Supreetha, S. Sandhya","doi":"10.1109/CSITSS54238.2021.9683715","DOIUrl":"https://doi.org/10.1109/CSITSS54238.2021.9683715","url":null,"abstract":"Time Series are the observations that are noted in regular manner and are correlated with time. They help to extract meaning and summary of dataset and are arranged in chronological order. Time series data help us to analyze from past behavior and predict future behavior as well. Some of Time series data which are available are data from satellite, ola cab rides, stock market, online transactions etc. Now-a-days determining anomalies in time series is a major area of interests among researchers. Data is growing rapidly in every area. For example every hour stock market price will get updated and handling such a huge data become difficult for humans. If the anomaly is not detected, people will invest in wrong business lose their money. In this study deep learning models like ARIMA, Isolation forest, and LSTM based autoencoders are used to detect the anomalies in the dataset. Here stock market dataset is used to check whether the closing price at the end of the day is correct value or not. The dataset is preprocessed and then send to any one of the above mentioned model and an analysis in the performance is done between the models.","PeriodicalId":252628,"journal":{"name":"2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115692128","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