2023 International Conference for Advancement in Technology (ICONAT)最新文献_第9页

Implementation of a Machine Learning-based Model for Cardiovascular Disease Post Exposure prophylaxis 基于机器学习的心血管疾病暴露后预防模型的实现

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080833

V. Dankan Gowda, K. Prasad, N. Anil Kumar, S. Venkatakiran, B. Ashreetha, N. S. Reddy

{"title":"Implementation of a Machine Learning-based Model for Cardiovascular Disease Post Exposure prophylaxis","authors":"V. Dankan Gowda, K. Prasad, N. Anil Kumar, S. Venkatakiran, B. Ashreetha, N. S. Reddy","doi":"10.1109/ICONAT57137.2023.10080833","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080833","url":null,"abstract":"According to research, characteristics taken from ultrasound imaging may help with atherosclerosis diagnosis and decision-making. Atherosclerosis is estimated by parameters like elasticity, stiffness, lumen diameter, distension and IMT which can be used as an indicator of cardiovascular disease. Experienced radiologists are required to measure these parameters from the ultrasound images for the correct diagnosis. If a system could be automated to measure these parameters and thereby diagnose the CVDs, no doubt that this would be a milestone in the efforts taken to prevent cardiovascular disease. With the use of machine learning techniques, the classification of CCA anomalies from longitudinal ultrasonography B-mode images is progressed in this research. Acquisition of CCA images is done by ultrasound machine. For the segmentation of the layers of CCA, thresholding and other edge detection methods are used in spatial domain. Statistical, size and shape measurements are done from normal and abnormal images and features are identified.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127523364","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: 8

Understanding the Behaviour of Android Ransomware Attacks with Real Smartphones Dataset 利用真实智能手机数据集了解Android勒索软件攻击行为

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080696

Atul Kumar, Ishu Sharma

{"title":"Understanding the Behaviour of Android Ransomware Attacks with Real Smartphones Dataset","authors":"Atul Kumar, Ishu Sharma","doi":"10.1109/ICONAT57137.2023.10080696","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080696","url":null,"abstract":"Android Security has become a frequently targeted area by cyber attackers and is widely exploited for several benefits by unauthorized users. The open-source model and affordable access to Android platforms enable smartphone users with multiple free applications and on the other hand, the same platform can be misused by attackers to achieve their goals. Android Ransomware attack is one of the majorly used attacks in the android malware domain and can affect android users with huge information and financial losses. Smartphone users store their personal to professional all kind of information in their smartphones and data breaches from the same source can put them in harmful circumstances. This research article focuses on android ransomware network architecture for detailed analysis and forming a further roadmap for the detection of such attacks. With technological capabilities, the detection of ransomware attacks at an early stage can secure from at least some levels of losses. Threat intelligence can be created using artificial intelligence-based methods for android malware attacks, but that requires clear identification of attributes and features that are involved in a particular cyberattack. In this experimental study, we have worked on CIC-AndMal2017 dataset that is being created by generating android malware attacks on real smartphones. We targeted the android ransomware attacks from this dataset and performed detailed exploratory data analysis to conclude the behaviour of different android ransomware attacks. The results drawn from this experimental study help the researcher to build artificial intelligence-based ransomware detection methodologies for the android platform.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128752294","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: 13

Cooja Simulator and Wireshark Traffic Capturing Are Used To Analyse User Datagram Protocol Communication For Low Power And Lossy Networks in IoT Cooja模拟器和Wireshark流量捕获用于分析物联网中低功耗和有损网络的用户数据报协议通信

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080778

Anil Behal, Jasminder Kaur Sandhu, G. Gupta

引用次数: 0

Incremental Learning of Handwritten Characters in EMNIST dataset EMNIST数据集中手写体字符的增量学习

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080724

S. K. Dana

引用次数: 0

Multi-Lingual Hybrid Chatbot for Empowering Rural Women Self-Help Groups in India 印度农村妇女自助团体的多语言混合聊天机器人

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080347

S. Anand, Moturi Karthikeya, A. Abhishek Sai, Ommi Balamurali

引用次数: 2

Customer Lifetime Value Prediction of an Insurance Company using Regression Models 基于回归模型的保险公司客户终身价值预测

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080805

Maitri Surti, Vyom Shah, S. Bharti, R. Gupta

{"title":"Customer Lifetime Value Prediction of an Insurance Company using Regression Models","authors":"Maitri Surti, Vyom Shah, S. Bharti, R. Gupta","doi":"10.1109/ICONAT57137.2023.10080805","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080805","url":null,"abstract":"Banks are faced with the issue of evaluating who would be a better investment due to the unpredictability of the economy and the unexpected changes that occur in employment. The work that has been done and is shown in the study tries to address this issue and provide an effective machine learning model that can calculate the customer lifetime value taking into consideration a variety of different criteria. Customer Lifetime Value is a statistic that assists you in determining the amount of money that you are willing to spend in order to reach and acquire clients for your company. Utilizing techniques such as exploratory data analysis (EDA) and feature selection, the primary goal of this body of work in the field of research is to find significant and deciding variables for claim submission and approval within the framework of a learning environment. In order to identify which model provides the best level of accuracy, a number of different machine-learning algorithms have been tried and tested. Therefore, the model will determine the lifetime worth of a customer by first determining the components that are the most helpful and contributing, and then taking into consideration the model that has the highest level of accuracy.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"242 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132434821","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

Hanowa Matrix based SLM Technique for PAPR Reduction in OFDM Systems 基于Hanowa矩阵的SLM技术降低OFDM系统的PAPR

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080797

S. Prasad, S. Arun

引用次数: 1

Image Encryption based on Advanced Encryption Standard (AES) 基于高级加密标准AES的图像加密

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080243

Saleha Saudagar, Mukund Kulkarni, Anshuman Giramkar, S. Godse, Snehal Gupta, Gyaneshwari Patil, Sangram Gunjal

引用次数: 0

A Smart Building Design using Cyber-Physical System Modeling 基于信息物理系统建模的智能建筑设计

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080712

Carol Hilary G. Bobis, Cecille M. Barrion, Jhomar G. Villaluna, Deus Claude V. Onte, Janice F. Peralta, R. Sangalang

{"title":"A Smart Building Design using Cyber-Physical System Modeling","authors":"Carol Hilary G. Bobis, Cecille M. Barrion, Jhomar G. Villaluna, Deus Claude V. Onte, Janice F. Peralta, R. Sangalang","doi":"10.1109/ICONAT57137.2023.10080712","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080712","url":null,"abstract":"Due to the demand for IoT technologies, the concept of CPS was explored in this paper. CPS refers to the coordination and communication of physical processes and computing elements connecting the physical and digital worlds. With the increasing number of smart buildings, the researchers considered the automation control of various facilities in a smart building which are air conditioning, lighting, and surveillance systems for sustainability. With this, the researchers acquired and analyzed the STEER Hub building’s layout diagram as the basis of a smart building design. It was verified and evaluated by an ocular visit, and the total number of existing system devices for air conditioning, lighting, and surveillance was 313. Wireless access points connect these devices to the internet. The network architecture was designed and simulated in Cisco Packet Tracer. Meanwhile, the aforementioned systems were modeled and simulated in MATLAB® and Simulink®. A digital signal, signifying the On/Off condition, serves as the output of the air conditioning and lighting systems. Meanwhile, the surveillance system’s output is a waveform that compares the motion intensity to a threshold value. The captured picture displaying the total number of source and captured frames were also presented.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133145510","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

Long-term Power System Planning Considering Increased Electric Vehicle Penetration: A Systematic Approach 考虑电动汽车普及率提高的长期电力系统规划:一种系统方法

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080341

Sarvoday Kumar, A. K. Verma, Anjali Jain, Parul Mathuria, R. Bhakar

{"title":"Long-term Power System Planning Considering Increased Electric Vehicle Penetration: A Systematic Approach","authors":"Sarvoday Kumar, A. K. Verma, Anjali Jain, Parul Mathuria, R. Bhakar","doi":"10.1109/ICONAT57137.2023.10080341","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080341","url":null,"abstract":"Increased electric vehicle (EV) penetration in the existing power system necessitates analysis of its impact on power system operations. It requires an extensive study on approaches involved for modelling EV in long-term power system planning problems. This study explores the challenges and opportunities involved in long-term power system modelling with incorporation of EV as a load. Power system Planning involving transmission generation co-optimization with EV integration needs analysis of impact on energy and power demand of the system. It summarizes the various methods incorporated in the modelling of generation, transmission, as well as EV load and constraints involved in formulating power system planning models. The EV load proﬁle correlates with the renewable generation profile hence it becomes necessary to consider co-optimization of transmission and generation expansion plans for suitable transmission network reinforcement as well generation mix required for serving load reliably in future years. Further studies require improvement of existing EV modelling techniques with more granular approach towards considering EV load representation.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"156 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113991062","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