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An Efficient Metal ECO Methodology for Addressing Timing Violations with 10X Turnaround Time 以10倍的周转时间解决时间违规的有效金属ECO方法
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9951989
S. Taumar, Sonali Agrawal
{"title":"An Efficient Metal ECO Methodology for Addressing Timing Violations with 10X Turnaround Time","authors":"S. Taumar, Sonali Agrawal","doi":"10.1109/ICOSEC54921.2022.9951989","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9951989","url":null,"abstract":"With increased design challenges and complexity, late metal ECOs (Engineering Change Order) have become a critical and integral part of the solution cycle for tape-ins which require faster turnaround time and reduced re-spin cost. Metal ECO is a process widely adopted by major IC design houses to solve the last-minute functional and timing failures. Challenges like the limitation of pre-injected resources, high manual efforts, and turnaround time make it difficult to implement practically in real-time designs. This paper presents a novel technique that deals with the automation of the metal ECO process to reduce the ECOs implementation cycle time by almost 10X, enabling the tape-in to be done at the earliest and making it a candidate of interest. In this paper, three phases of automation method are discussed which give an end-to-end solution for the metal ECO implementation addressing every possible corner case. This method has been successfully implemented for multiple designs and for all the designs a reduction of at least 10x is observed in turnaround time. For the efficacy of the method implemented, timing checks were done to ensure the required timing fixes and have been addressed with minimal manual efforts and turnaround time. These implementations reflect the actual problems faced by the designers, and obtained results show a promising solution to the problem.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131125727","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 of Intelligent Virtual Software for Tourism Education based on Visual Information Framework 基于视觉信息框架的旅游教育智能虚拟软件设计
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9951965
Xi Wen
{"title":"Design of Intelligent Virtual Software for Tourism Education based on Visual Information Framework","authors":"Xi Wen","doi":"10.1109/ICOSEC54921.2022.9951965","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9951965","url":null,"abstract":"This paper studies the practicability of virtual tourism platform, and proposes a virtual tourism platform system that can be applied to outdoor. The system has the advantages of portability, real-time and portability. Supported by MVC framework, combined with JavaScript and AJAX Technology to realize the data visualization from JSON or R ES T, and realize the static rendering of the page as HTML. The final virtual-real combination module is selected to meet the portability requirements of the outdoor virtual tourism system. The Intelligent Tourism Information System (ITIS) is located in the server position, connected to the data center, and provides tourism information services for various terminals, which plays a role in linking the previous and the next. The construction of ITIS can lay the foundation for the improvement of the “smart tourism” system.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132949112","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
FO-PI Controller for Regulating DC Link Voltage in UPQC Integrated HES System for Power Quality Improvement 用于UPQC集成HES系统直流电压调节的FO-PI控制器
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9951983
S. Yadav, K. Yadav
{"title":"FO-PI Controller for Regulating DC Link Voltage in UPQC Integrated HES System for Power Quality Improvement","authors":"S. Yadav, K. Yadav","doi":"10.1109/ICOSEC54921.2022.9951983","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9951983","url":null,"abstract":"This paper emphasis on an optimized Fractional order PI controller (FOPI) for enhancing the power quality of three phase hybrid energy storage (HES) system integrated unified power quality conditioner (UPQC). In order to offer uninterrupted electricity, renewable energy sources regarding wind energy, solar PV, and battery energy storage systems (BESS) are also explored. Whenever the windmill as well as PV array is not supplying electricity, the BESS could improve the stability of the power distribution system, meet entire load requirements. Grid power quality harmonics as well as concerns induced via non-linear loads are addressed by the UPQC type with shunt and series active filter compensators. To ease the grid’s power quality issues and the harmonics introduced by non-linear loads there subsist the UPQC model with active filter shunt and series compensator. The FOPI controller is used for improving the power quality of a 3-phase hybrid energy storage device with an integrated UPQC. RES such as PV arrays, BESS, as well as wind energy are analyzed in order to deliver continuous electricity. Whenever the PV array as well as windmill is not supplying power, the BESS could provide entire load demand, which increases the stability of the power system distribution. The UPQC model including series and shunt active filter compensators exists to alleviate grid power quality problems as well as harmonics introduced by non-linear loads. The UPQC shunt compensator collects power from hybrid energy systems, while the load is protected from grid-related power quality issues by the series compensator. The FOPI controller is built with iso-damping characteristics to control the voltage of the DC connection at a desirable level. The gain of the FOPI controller (Kp, Ki, $lambda$,) is optimally tuned by a Enhanced Seagull with Rooster Update (ES-RU) Algorithm, which merge the concepts of the Seagull Optimization Algorithm (SOA) as well as the Chicken Swarm Optimization Algorithm (CSO).","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133059469","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
Classification of Fake News on Facebook a Novel Social Network with K-Means Clustering Approach for Against Principal Component Analysis Method for Better Accuracy 基于k均值聚类方法的Facebook虚假新闻分类与主成分分析方法的比较
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9952063
R. Nomesh., Madderi Sivalingam Saravanan
{"title":"Classification of Fake News on Facebook a Novel Social Network with K-Means Clustering Approach for Against Principal Component Analysis Method for Better Accuracy","authors":"R. Nomesh., Madderi Sivalingam Saravanan","doi":"10.1109/ICOSEC54921.2022.9952063","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952063","url":null,"abstract":"To classify the fake news on Facebook using machine learning algorithms with improving accuracy. Materials and Methods: The Fake news classification implemented in the dataset is used to detect the exact real meaning of the content. In this research study the dataset is labelled as title, text, subject and date, these data are applied on the machine learning algorithms such as K-Means (KM) Clustering taken as group-1 and compared with Principal Component Analysis (PCA) algorithm taken as group-2 used for 80 percent of g power value and dataset used for this using 0.05 significant value and 95 percent of confidence interval also the standard deviation and error value are used. Results: The novel social network used for this research study with K-Means clustering and PCA algorithms and predicted best algorithm for better accuracy.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133484550","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 Intelligent Breast Cancer Forecasting System using Optimized Elman Deep Neural Network 基于优化Elman深度神经网络的智能乳腺癌预测系统
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9952027
T. Nagalakshmi, M. Govindarajan, M. Ramalingam
{"title":"An Intelligent Breast Cancer Forecasting System using Optimized Elman Deep Neural Network","authors":"T. Nagalakshmi, M. Govindarajan, M. Ramalingam","doi":"10.1109/ICOSEC54921.2022.9952027","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952027","url":null,"abstract":"Breast cancer is one of the widely occurring cancer variety among the women and the mortality is assured by early detection. Computer Aided Design (CAD) and computational approaches has significance in the breast cancer detection. The mammogram images have much information including those which will not help in precise identification of region of interest. The feature extraction and selection are vital for any classification problems. The performance of the classifier is highly dependent on the optimal feature set selected for the classification. Hence to avoid high dimensionality data, Grey Level Co-Occurrence Matrix (GLCM) is used and feature reduction is done by Singular Value Decomposition (SVD) where the classification is done by optimized Elman Deep Neural Network (OELDNN). The main intent of optimizing the OELDNN is to enhance the accuracy of classification. It has been shown in the results that the classification accuracy of OELDNN classifier performs better by 6.43% than naive bayes, 3.61% than SVM and 3.11% than CNN.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132200249","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
Research on Inter-Symbol Interference Suppression Technology and Fusion Algorithm of Optical Communication System 光通信系统码间干扰抑制技术及融合算法研究
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9952079
Yuanyuan Fan
{"title":"Research on Inter-Symbol Interference Suppression Technology and Fusion Algorithm of Optical Communication System","authors":"Yuanyuan Fan","doi":"10.1109/ICOSEC54921.2022.9952079","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952079","url":null,"abstract":"This article mainly studies the use of fusion algorithms to solve the problem of inter-symbol interference suppression technology in optical communication systems. First, this article introduces the application background and research trends of visible light communication. A new type of two-dimensional optical address code is proposed. Since the two parameters of the number of wavelengths and the code length of the new two-dimensional optical address code are independent of each other, the code set can be increased without changing the number of wavelengths independently, thereby increasing the optical code division multiple access. The system accommodates the number of concurrent users. The simulation results show that when the number of PDs of the hemispherical angle diversity receiving antenna is 4, the optimal spacing and tilt angle between adjacent PDs are 0.1m and 50, respectively. Compared with the plane receiving structure of four PDs based on traditional technology, the average signal-to-noise ratio of the proposed scheme has increased by 15.2%.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"282 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133264426","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
Research on Management Information System of Logistics Industry Software Development Process under the Background of Big Data 大数据背景下物流行业管理信息系统软件开发过程研究
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9951981
Jinsheng Zhang
{"title":"Research on Management Information System of Logistics Industry Software Development Process under the Background of Big Data","authors":"Jinsheng Zhang","doi":"10.1109/ICOSEC54921.2022.9951981","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9951981","url":null,"abstract":"Based on the background of big data, this paper analyzes the software development process management information system of the logistics industry. Based on the emergence of big data technology, it has played a positive role in promoting the management of software development process, promoted the rationalization of software development process, and made the software development process more intelligent. This article first introduces the background and significance of software development process management, analyzes the status quo of software development process management under the background of big data, and finally gives the software development process management under the background of big data, and maximizes the supervision of the process management information system based on JAVA. The software design, development, maintenance and other processes.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128909450","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
A Study of Effective Screening Methods for Grading Diabetic Retinopathy using Mathematical Approaches 应用数学方法对糖尿病视网膜病变分级的有效筛选方法研究
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9952026
S. Hemamalini, V. D. A. Kumar
{"title":"A Study of Effective Screening Methods for Grading Diabetic Retinopathy using Mathematical Approaches","authors":"S. Hemamalini, V. D. A. Kumar","doi":"10.1109/ICOSEC54921.2022.9952026","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952026","url":null,"abstract":"Diabetic eye disease is a terminology used to describe a group of eye problems that can develop as a result of diabetes and are affected by high blood sugar levels causing retinal damage. Retinal Image processing is the domain widely used to detect various eye diseases such glaucoma, Diabetic Retinopathy (DR), Retinal Detachment etc. Postponing the screening may be sometimes leading to late diagnosis of the eye disease which in turn may lead it to severe stage. Proper diagnosis of such disease is important to promote precise treatment that could prevent vision loss. Automatic screening of DR is most popular which uses image processing techniques and methods to diagnose the disease severity. This paper discusses the recent models and techniques that are prevalent to diagnose from the image samples to screen the disease severity.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127634169","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
Hardware Based Data Security Techniques in IOT: A Review 物联网中基于硬件的数据安全技术综述
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9952021
J. Gopika Rajan., R. Ganesh
{"title":"Hardware Based Data Security Techniques in IOT: A Review","authors":"J. Gopika Rajan., R. Ganesh","doi":"10.1109/ICOSEC54921.2022.9952021","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952021","url":null,"abstract":"Internet Of Things has already started gaining acceptance and its implementation has begun from small scale to large scale in different applications like healthcare, industries, household, banking, etc. in the form of smart equipment being connected together to make life and work much easier. But due to its extensive work range and functionality the creators concentrate much over its efficient functionality and neglect to include efficient techniques to ensure data security in IOT which generate adverse data loss, theft resulting in loss of integrity. Hardware based data security systems works excellently with IOT in all its applications because of its flexible & adaptable features. In this paper, a survey has been done over the hardware-based data security systems in various applications and its possibility of implementing in IOT has been tested.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"152 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127062121","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
Identification of Medicinal Flora using Deep Learning 利用深度学习识别药用植物群
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9952032
R. Ganesh, S. Sivakumar, D. R, Harihara Sudhan M, H. M
{"title":"Identification of Medicinal Flora using Deep Learning","authors":"R. Ganesh, S. Sivakumar, D. R, Harihara Sudhan M, H. M","doi":"10.1109/ICOSEC54921.2022.9952032","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952032","url":null,"abstract":"The term “medicinal plant” refers to a variety of plants used in herbalism. It involves both the study of and use of plants for therapeutic purposes. Long before the prehistoric era, people employed plants for medical purposes. India has a long history of being a thriving storehouse for medicinal herbs among ancient civilizations. India’s forests are the main source of a variety of medicinal herbs. The proposed work identifies the medicinal flora species which are in Western Ghats region of India by the leaf picture of that plant. The leaf pictures of the medicinal plants are trained by a convolutional neural network algorithm. The user can take photo of the leaf of the plant or he can also upload the saved picture of the leaf of the plant. The uploaded picture is compared with the trained model then the local and biological name of the plant is displayed as output on the screen. Two main medicinal uses of the plant are also displayed. For the convenience of the user to get more information about the plant, the reference link also provided at the bottom of the uses’ column.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115474566","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
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