2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)最新文献_第2页

An Integrated Optimal Resource Management Scheduling for Dual Target in Remote MIMO Systems 远程MIMO系统中双目标综合最优资源管理调度

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10090885

Lakshmi Haritha M, R. Renugadevi, T. Sethukarasi

{"title":"An Integrated Optimal Resource Management Scheduling for Dual Target in Remote MIMO Systems","authors":"Lakshmi Haritha M, R. Renugadevi, T. Sethukarasi","doi":"10.1109/IITCEE57236.2023.10090885","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090885","url":null,"abstract":"Distributed MIMO radar offers a novel concept for the evolution of networked radar as a new radar system with increasing efficiency. In this research, we offer a resource planning technique for multi target imaging in dispersed netted radar predicated on the greatest organizing advantages, with the goal of addressing the constrained resource provisioning issue inherent in netted radar. The technique takes into account the angle and dwell duration in detail to finish the multi radar and multi target matching under the assumption of target knowledge. Then, it employs the compressed sensing concept to figure out how many pulses will be needed to image each object sparsely with the matching radar. In this study, we use a weighted average of the planning positive outcome, the hit value rate, as well as the pulse resource utilization rate to quantify the planning advantage of a radar system. Maximum scheduling benefits are used to build the resource scheduling mechanism, which is then solved to use a heuristic method. The simulated findings demonstrate that the scheduling advantages of the radar system are enhanced when compared to those obtained using the conventional methodology.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130298269","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

Smart Mining Helmet with Body Vitals and Location Tracking 具有身体体征和位置跟踪功能的智能采矿头盔

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10090871

Sangeeta Kurundkar, Kshitij Mukunda Bhure, Aryan Dayan Kamath, Ankur Tyagi, Anvi Barde, Arya Abhir Pimpalgaonkar

引用次数: 0

Comparative Analysis of different Heart Disease Prediction Models 不同心脏病预测模型的比较分析

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10091028

Kumar Rethik, Ashutosh Kumar Singh, Dalwinder Singh, Manik Rakhra

引用次数: 0

Proceedings of the International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (ICIITCEE 2023) 计算机、电气和电子领域智能与创新技术国际会议论文集(ICIITCEE 2023)

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/iitcee57236.2023.10091061

引用次数: 0

Centralized Virtual Mapping Algorithm in Virtual Network 虚拟网络中的集中式虚拟映射算法

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10091097

G. Florance, R. Anandhi

引用次数: 0

Implementation of Realtime design of crowd Enumeration via tracking using AI system 基于AI系统的人群跟踪实时设计的实现

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10090914

Manjunath R. Kounte, Jonnalagadda Rishitha, Sneha Sarika Setty, Shivani S

{"title":"Implementation of Realtime design of crowd Enumeration via tracking using AI system","authors":"Manjunath R. Kounte, Jonnalagadda Rishitha, Sneha Sarika Setty, Shivani S","doi":"10.1109/IITCEE57236.2023.10090914","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090914","url":null,"abstract":"Crowd enumeration can help to evaluate and count the number of visitors to a place. There are many reasons that spana wide range of applications, from security considerations, optimization of operations to efficiency in profitability. In the paper, we propose to develop a prototype for implementing a high frame rate, low processing environment, high performance, and highly efficient real-time crowd enumeration system. The latest method for object detection is deep learning. When it comes to deep learning or machine learning, performance and computation are the key parameters. In our model, there is a provision to schedule the model for the required amount of time. In our work, we are using mobilenet SSD as an object detector to detect humans. It is a preprocessed, highly efficient, and light weight model which can run on low power device like jetson nano and is cost-efficient unlike others. The advantage of our model is if there is overcrowding in a specified location with known capacity, alarm is enabled.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114683615","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

Design and Implementation of Arithmetic based FIR Filters for DSP Application 基于算法的FIR滤波器的DSP设计与实现

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10090953

G. S, Esha S, Challa Bhavya, Y. J. Shirur

{"title":"Design and Implementation of Arithmetic based FIR Filters for DSP Application","authors":"G. S, Esha S, Challa Bhavya, Y. J. Shirur","doi":"10.1109/IITCEE57236.2023.10090953","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090953","url":null,"abstract":"In real life applications the signals are continuously captured, monitored, processed and analysed. The pro cessing and analysis of data is easier if it is in the form of digital. The Digital Signal Processing (DSP) finds importance mainly in biomedical devices or wearable devices. In DSP system, the Finite Impulse Response (FIR) filter design acts as a basic building block. In wearable applications where the complex computation is involved, to acquire high accuracy the filters with higher order is used. The Multipliers is heart of any filter design, accommodates major chip area and require extra time for computation. The designers mainly concentrate on the optimization of multiplier over the existing one. An attempt is made in this paper to design FIR filter based on Distributed Arithmetic (DA) algorithm which is mainly depends on the precomputed values stored in the Look-Up Tabe(LUT). It is a multiplier less design architecture. It is observed that the distributed arithmetic-based architecture is efficient for real signal computation. The paper highlights the advantages of DA technique over the traditional MAC based design. Both the designs are coded in Verilog and verified for the functionality and comparison is made. The proposed design has given area, power and timing advantauc of 64%.62% and 61% respectively.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124150016","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

The Role of Machine Learning Analysis and Metrics in Retailing Industry by using Progressive Analysis Pattern Technique 运用渐进式分析模式技术探讨机器学习分析与度量在零售业中的作用

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10091071

K. Suresh, A. Donald, R. Subramani, N. Robert

引用次数: 0

Evaluation and Analysis: Internet of Things using Machine Learning Algorithms for Detection of DDoS Attacks 评估与分析:使用机器学习算法检测DDoS攻击的物联网

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10090917

Anshika Sharma, Himanshi Babbar

{"title":"Evaluation and Analysis: Internet of Things using Machine Learning Algorithms for Detection of DDoS Attacks","authors":"Anshika Sharma, Himanshi Babbar","doi":"10.1109/IITCEE57236.2023.10090917","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090917","url":null,"abstract":"Internet of Things (IoT) system is facing a large number of attacks nowadays. Distributed Denial of Ser-vices(DDoS) attack is the most reported attack in the field of security. Nowadays these attacks are increasing very rapidly. However, it has been difficult to predict and detect these attacks easily. In this paper, various existing machine learning (ML) algorithms are being analyzed that are used to predict and detect DDoS attacks using different existing datasets namely; ToN-IoT, CICDDoS2019 and BoT-IoT. The four types of different ML algorithms have been deployed which include K-Nearest Neighbour (KNN), Naive Bayes(NB), Decision Tree (DT) and Random Forest (RF). The major goal of this analysis is to choose the best ML technique. Comparing the existing BoT-IoT dataset to the other datasets utilised in this paper, provides the best measure. The evaluation findings demonstrate that the decision tree and random forest classifiers provide the highest levels of accuracy. The purpose of this paper is to discuss the security concerns associated with DDoS attacks and their mitigation.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127987573","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: 5

Performance Analysis of Dielectric Modulated Dual Material Double Gate Hetero Stack (DM-DMDG-HS) TFET 介电调制双材料双栅杂堆(DM-DMDG-HS) TFET的性能分析

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10090967

Jitendra Kumar, Rashi Chaudhary, R. Saha

引用次数: 0