2023 IEEE 8th International Conference for Convergence in Technology (I2CT)最新文献_第4页

Performance Metrics Evaluation Towards The Effectiveness of Data Anonymization 数据匿名化有效性的性能指标评价

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126310

A. Raj, Rio G. L. D'Souza

{"title":"Performance Metrics Evaluation Towards The Effectiveness of Data Anonymization","authors":"A. Raj, Rio G. L. D'Souza","doi":"10.1109/I2CT57861.2023.10126310","DOIUrl":"https://doi.org/10.1109/I2CT57861.2023.10126310","url":null,"abstract":"A supplementary method for ensuring that private data is inaccessible to outside parties is data anonymization. Anonymization might affect the outcomes of data mining procedures since it may make it more difficult for commonly used algorithms to analyze the data. This practical experience report compares the performance impact of current data anonymization algorithms to the suggested k-anonymization methods utilizing both original and anonymized data in order to assess the correctness and execution time. Through the use of kanonymization, l-diversity, t-closeness, and differential privacy techniques, a sample of genuine data produced by a healthcare facility was made anonymous. Contrary to predictions, the Hadoop framework was able to handle anonymization approaches, improving accuracy and performance while speeding up execution. These findings show that data anonymization techniques, when properly implemented through Hadoop ecosystems, can help to increase the effectiveness of data anonymization. Furthermore, the suggested method can produce the data anonymization with the necessary utility and protection trade-offs and with a performance scalable to large datasets.","PeriodicalId":150346,"journal":{"name":"2023 IEEE 8th International Conference for Convergence in Technology (I2CT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114419136","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

Automatic Detection and Classification of Microaneurysms for Early Detection of Diabetic Retinopathy in Color Fundus Images 彩色眼底图像中微动脉瘤的自动检测与分类在糖尿病视网膜病变早期诊断中的应用

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126478

M. V. Gopala Rao, V. Chandra Prakash, M. V. M. G. Guru Charan, G. Venkata Bhargav, M. N. Rao

引用次数: 0

A Robust Pipeline based Deep Learning Approach to Detect Speech Attribution 基于鲁棒管道的深度学习语音归因检测方法

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126219

Shreya Chakravarty, R. Khandelwal

{"title":"A Robust Pipeline based Deep Learning Approach to Detect Speech Attribution","authors":"Shreya Chakravarty, R. Khandelwal","doi":"10.1109/I2CT57861.2023.10126219","DOIUrl":"https://doi.org/10.1109/I2CT57861.2023.10126219","url":null,"abstract":"The \"thinking machines\" today, breathe hand-in-hand with the blessing of expunging human effort, as well as the disadvantage of being misused easily. There are enormous applications of automation, one of the most popular being speech recognition. Automated systems can now be controlled by voice commands, and also can provide human-like responses, whether it is appearance or communication media like speech. There won’t always be times when the source of audio would be in ideal surroundings. This aggravates the possibility of human-system interaction involving audio aberrations and hence, raises a great apprehension regarding forensic issues like authenticity and the source of the given audio, which calls for a challenge to resolve. This paper seeks to illustrate thorough augmentation of audio data for a robust solution that eradicates the anomalies in audio using a pipeline approach. We propose analysing the spectrogram representation of an audio signal to determine a mask that segregates noise from pure signal, and results in a signal that can be processed for speech recognition, further extending to fabrication of a deep neural network having an accuracy of 95.87%.","PeriodicalId":150346,"journal":{"name":"2023 IEEE 8th International Conference for Convergence in Technology (I2CT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115990084","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

Efficient Device Management for Enhanced Energy Utilization and Operational Performance in Internet of Things 高效设备管理，提高物联网能源利用率和运行性能

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126375

Basil Jose, S. Mini

引用次数: 0

Role of Routing Protocol in Mobile Ad-Hoc Network for Performance of Mobility Models 路由协议在移动自组网中对移动模型性能的影响

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126390

Vijay U. Rathod, S. Gumaste

{"title":"Role of Routing Protocol in Mobile Ad-Hoc Network for Performance of Mobility Models","authors":"Vijay U. Rathod, S. Gumaste","doi":"10.1109/I2CT57861.2023.10126390","DOIUrl":"https://doi.org/10.1109/I2CT57861.2023.10126390","url":null,"abstract":"The term \"Mobile Ad Hoc Networks\" (MANETs) refers to a technology that is currently gaining worldwide popularity. A MANET is a network without any centralized management and without any infrastructure. It is made up of mobile nodes (MNs), which create the network on the fly. Although mobile nodes can quickly change their topology, effective routing protocols are required to build the network connecting nodes for this purpose. A key component of the routing protocol is the ability for mobile nodes to move independently. The network's overall performance may be directly impacted by them. Therefore, the effectiveness of the MANET routing protocol is significantly influenced by node mobility. The movement pattern displays how positions, locations, and node velocities of mobile users change over time in real-world applications. To get the best performance metrics, it is difficult to create an efficient and effective mobility model for MANET. In this study, we discuss the effects of the random walk (RW) and random waypoint (RWP) mobility models on the routing parameters. In the past, different routing systems' effects on network performance have been assessed using mobility models. As a result, the mobility pattern's characteristics will substantially influence how well the network performs. The accurate route adjustments must be rearranged in the correct sequence by the routing protocols. As a result, traffic routing update overheads are very high. These mobility patterns affect various network protocols or applications differently.","PeriodicalId":150346,"journal":{"name":"2023 IEEE 8th International Conference for Convergence in Technology (I2CT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116811315","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

Identifying Image Modifications using DCT and JPEG Quantization Technique 利用DCT和JPEG量化技术识别图像修改

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126200

Prajakta Kubal, Namita D. Pulgam, V. Mane

引用次数: 0

Detecting and Estimating Severity of Leaf Spot Disease in Golden Pothos using Hybrid Deep Learning Approach 利用混合深度学习方法检测和估计金芋叶斑病的严重程度

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126403

Lakshay Girdher, D. Kumar, V. Kukreja

引用次数: 0

Performance Analysis of Voltage Source Sine PWM Inverter for Micro Grid Topology 微电网拓扑下电压源正弦PWM逆变器性能分析

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126418

Priyanka Mane, S. Suryawanshi, Vilas S. Bugade

{"title":"Performance Analysis of Voltage Source Sine PWM Inverter for Micro Grid Topology","authors":"Priyanka Mane, S. Suryawanshi, Vilas S. Bugade","doi":"10.1109/I2CT57861.2023.10126418","DOIUrl":"https://doi.org/10.1109/I2CT57861.2023.10126418","url":null,"abstract":"A research work is being carried out on Micro grid system operation and control. Also, analysis, design and implementation of laboratory scale Micro Grid (MG) are much optimized work for the researchers. It is well documented in many publications, literatures and group discussions about the design analysis, battery design issues, design of Inverter, and Buck converter problem. The actual implementation of MG laboratory test bed leads to different issues mentioned earlier and has to overcome by doing actual software simulation before implementation. The scheme MG comprises of Solar PV panel, Wind Turbine, Energy Storage, Converter, Inverter, Charge Controller and several electrical loads which are fed through a Voltage Source Inverter (VSI).The Inverter which is proposed here is with PWM control with Proportional Resonant (PR) Controller. Whenever some disturbances occur in the system, Static Transfer Switch (STS) has to open & should isolate the Utility and MG within a very short duration. By this time the Distributed Energy Sources (DERs) is able to supply to the connected load maintains the good voltage regulation. Now, the DERs must deliver the power to connected loads and when fault clears and system is healthy, the MG should be able to re-synchronize with utility grid smoothly from Islanding mode of operation. The designed MG lab test bed will be undergone the different analysis about Total Harmonic Distortion (THD), transient behavior and other analysis regarding power system such as improvement of Power Factor on load side. By the use of DERs in the MG topology it is very beneficial to the environment as there is massive use of Renewable Energy Resources (RES).","PeriodicalId":150346,"journal":{"name":"2023 IEEE 8th International Conference for Convergence in Technology (I2CT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124855039","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

Brain Stroke Detection Using CNN Algorithm 基于CNN算法的脑卒中检测

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126125

Prasad Gahiwad, Nilesh Deshmane, Sachet Karnakar, Sujit Mali, Rohini. G. Pise

引用次数: 0

Predicting Employability and Admission for MS Students using ML Regression Models 用ML回归模型预测MS学生的就业能力和录取

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI: 10.1109/I2CT57861.2023.10126208

G. S. Krishna Kireeti, J. Prithvi, Mangala Divya, C. Kumari

{"title":"Predicting Employability and Admission for MS Students using ML Regression Models","authors":"G. S. Krishna Kireeti, J. Prithvi, Mangala Divya, C. Kumari","doi":"10.1109/I2CT57861.2023.10126208","DOIUrl":"https://doi.org/10.1109/I2CT57861.2023.10126208","url":null,"abstract":"Analysing students’ performance concerning their future plans (after under-graduation) is essential in universities, colleges, schools or coaching centres etc. Prospective graduate students always face a dilemma when choosing master’s programs and universities based on their scores (such as GRE, TOEFL, etc.). At the same time, students who opt for jobs as their objective career face a dilemma regarding their employability chances based on their academics, placements and training test scores (such as coding, English, communication etc.). Predicting the candidates’ employability or admission chances based on their scores will guide them to improve their performance. This prediction also helps the faculty improve their teaching skills, provide more resources to the students, and train them most effectively. This paper addresses various machine-learning regression models, such as Gradient Boosting regression, Support Vector Regression, Random Forest regression, Decision Tree Regression, and Ridge Regression. We select the best-performing model, which we will use to indicate whether the university that the MS aspirants are considering is ambitious or safe, and predict the student’s employability chances for their academic placements. This paper also addresses using of streamlit (an open-source app framework) for developing a user-friendly web application interface for users using the best-performing model.","PeriodicalId":150346,"journal":{"name":"2023 IEEE 8th International Conference for Convergence in Technology (I2CT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125050387","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