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2021 5th Conference on Information and Communication Technology (CICT)最新文献

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Correctness of Synthesis for Tree based Decomposed Algorithm in Semiconductor Memory Designs with Larger Decoders 大解码器半导体存储器设计中基于树分解算法综合的正确性
2021 5th Conference on Information and Communication Technology (CICT) Pub Date : 2021-12-10 DOI: 10.1109/CICT53865.2020.9672450
Kowsayap Pranay Kumar, Mohamed Asan Basiri M
{"title":"Correctness of Synthesis for Tree based Decomposed Algorithm in Semiconductor Memory Designs with Larger Decoders","authors":"Kowsayap Pranay Kumar, Mohamed Asan Basiri M","doi":"10.1109/CICT53865.2020.9672450","DOIUrl":"https://doi.org/10.1109/CICT53865.2020.9672450","url":null,"abstract":"The larger decoders are widely used in the row and column circuitaries of semiconductor memories. Indeed, the larger n-to-2n decoder can be designed in the exponential number of possible ways. It is non trivial to find the design with least delay among all possible exponential cases. However, the tree based decomposition algorithm is to find the best among all possible designs in the polynomial time. This larger decoder with least delay can be used to design the semiconductor memory. This paper proves that the tree-based decomposition algorithm is effective in designing larger decoders for semi-conductor memory design using a tree of smaller decoders for a particular CMOS technology library. The experimental result shows that the algorithm helps in achieving an efficient semiconductor memory design made of larger decoders with less delay. For example, 64x64 SRAM memory design using the proposed decoder achieves an improvement of 12.7% in delay compared with a design using 1-to-2 decoder tree for 180-nm CMOS technology.","PeriodicalId":265498,"journal":{"name":"2021 5th Conference on Information and Communication Technology (CICT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116923845","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
CT and MR Image Fusion based on Guided filtering and Phase congruency in Non-Subsampled Shearlet Transform domain 基于非下采样Shearlet变换域引导滤波和相位一致性的CT与MR图像融合
2021 5th Conference on Information and Communication Technology (CICT) Pub Date : 2021-12-10 DOI: 10.1109/CICT53865.2020.9672451
Shaik Afroz Begum, K. Reddy, M. Prasad
{"title":"CT and MR Image Fusion based on Guided filtering and Phase congruency in Non-Subsampled Shearlet Transform domain","authors":"Shaik Afroz Begum, K. Reddy, M. Prasad","doi":"10.1109/CICT53865.2020.9672451","DOIUrl":"https://doi.org/10.1109/CICT53865.2020.9672451","url":null,"abstract":"Multi-modal image fusion plays a very important role in the early diagnosis and treatment of diseases. The different types of scans like MRI, PET, CT, and SPECT, etc. are used by medical practitioners to interpret the problems in the human body. The information present in these scans is very important at the time of treatment which can be enhanced by multisensory medical image fusion. Medical image fusion is the method that fuses images from different sources to give better results which helps in better understanding. The proposed method of medical image fusion improves the quality of human visual perception of an object or a scene by combining the fine details given by multiple sensor data. This is achieved by using a guided image filter (GIF) and Non-subsampled Shearlet transform (NSST) with integrated phase congruency based fusion rules. The GIF gives the fine details which are then fused using the above transform technique. This method is validated on CT and MRI images. The experimental results reveal the effectiveness of the proposed integrated activity measures with consistency verification fusion in terms of the image quality and quantitative assessment.","PeriodicalId":265498,"journal":{"name":"2021 5th Conference on Information and Communication Technology (CICT)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117065717","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 Comprehensive study on Distinct Data Collection Techniques using Machine Learning Approaches for WSN 基于机器学习方法的不同数据采集技术的综合研究
2021 5th Conference on Information and Communication Technology (CICT) Pub Date : 2021-12-10 DOI: 10.1109/CICT53865.2020.9672440
G. Sulakshana, G. Kamatam
{"title":"A Comprehensive study on Distinct Data Collection Techniques using Machine Learning Approaches for WSN","authors":"G. Sulakshana, G. Kamatam","doi":"10.1109/CICT53865.2020.9672440","DOIUrl":"https://doi.org/10.1109/CICT53865.2020.9672440","url":null,"abstract":"Currently in Wireless Sensor Networks, data collection plays a pivotal role. The primary purpose of data collection is to acquire a significant quantity of data while to cut down data dropping due to sensor node memory limitations. Sensor network performance can be improved by employing effective data collection techniques. The primary purpose of data collecting algorithms is to acquire and aggregate data in an energy-efficient manner in order to extend network lifetime. In this study, we cover data collecting Techniques and we applied few Machine Learning Algorithms to enhance PEGASIS so as to increase the Network life span.","PeriodicalId":265498,"journal":{"name":"2021 5th Conference on Information and Communication Technology (CICT)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132883119","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
Microring Resonators Based Applications in Silicon Photonics - A Review 微环谐振器在硅光子学中的应用综述
2021 5th Conference on Information and Communication Technology (CICT) Pub Date : 2021-12-10 DOI: 10.1109/CICT53865.2020.9672427
Yash R Bawankar, Anamika Singh
{"title":"Microring Resonators Based Applications in Silicon Photonics - A Review","authors":"Yash R Bawankar, Anamika Singh","doi":"10.1109/CICT53865.2020.9672427","DOIUrl":"https://doi.org/10.1109/CICT53865.2020.9672427","url":null,"abstract":"Silicon photonics is emerging as leading technology for development of photonic integrated circuits (PIC) which finds number of applications in various fields. Since CMOS fabrication process can be used to manufacture photonic integrated circuits, large scale integration and high volume production of PIC are possible at low cost. Due to various optical and material characteristics of crystalline silicon, silicon-on-insulator (SOI) is now widely used platform for silicon photonics. In this paper, we review the silicon micro-ring resonators with it's promising application in field of medical, communication and quantum electronics. We begin with the theory of silicon micro-ring resonators which is required to understand the basic principle of ring-resonators. Further, micro-ring resonators based applications such as label-free biosensors, modulators, filters, switches and application in quantum photonics is reviewed.","PeriodicalId":265498,"journal":{"name":"2021 5th Conference on Information and Communication Technology (CICT)","volume":"331 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115876503","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
Zero-Day attack prevention Email Filter using Advanced Machine Learning 零日攻击预防电子邮件过滤器使用先进的机器学习
2021 5th Conference on Information and Communication Technology (CICT) Pub Date : 2021-12-10 DOI: 10.1109/CICT53865.2020.9672420
Harsha Vardhan Bathala, P.V.N Pooja Srihitha, Sai Greeshmanth Reddy Dodla, A. Pasala
{"title":"Zero-Day attack prevention Email Filter using Advanced Machine Learning","authors":"Harsha Vardhan Bathala, P.V.N Pooja Srihitha, Sai Greeshmanth Reddy Dodla, A. Pasala","doi":"10.1109/CICT53865.2020.9672420","DOIUrl":"https://doi.org/10.1109/CICT53865.2020.9672420","url":null,"abstract":"Preventing email spams continues to be a challenge as the attackers are using new techniques that circumvent the existing spam filters. Therefore, a smart email filter that can identify zero day attacks is necessary. In this paper, we propose an approach which not only looks at the text of the body of the email but also handles the embedded phishing URLs and attached spam images. The proposed approach uses several advanced Machine Learning algorithms to classify the emails and provides a structured process to identify the spams. We use lazyPredict library for selecting the best performing machine learning models. Our case studies using standard data sets show that these smart filters perform well in identifying spams and preventing zero-day attacks. Our analysis of results shows that Stacking classifier performs better with accuracy score of 0.97 for phishing URLs detection. Whereas, the perceptron classifier with accuracy of 0.97 the top performer in detecting email spams. The performances of other algorithms are also reported.","PeriodicalId":265498,"journal":{"name":"2021 5th Conference on Information and Communication Technology (CICT)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121404357","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
High Speed Sixty Four Bit Vedic Multiplier 高速64位吠陀乘数
2021 5th Conference on Information and Communication Technology (CICT) Pub Date : 2021-12-10 DOI: 10.1109/CICT53865.2020.9672441
Y. Sai, M. Prasad
{"title":"High Speed Sixty Four Bit Vedic Multiplier","authors":"Y. Sai, M. Prasad","doi":"10.1109/CICT53865.2020.9672441","DOIUrl":"https://doi.org/10.1109/CICT53865.2020.9672441","url":null,"abstract":"Multiplication operation is the core of many techniques like convolution, correlation, fast fourier transform etc. Since multipliers are rather complex circuits and must typically operate at a high system clock rate, reducing the delay of a multiplier is an essential part of satisfying the overall design. Optimising multiplier (in terms of delay or area or power) will have a huge impact on system performance. One of the methods adopted to reduce delay is the use of Vedic Multiplier based on “Vedic Mathematics Sutras”. In this project “Urdhava - Tiryakbhayam” Sutra is used to perform multiplication and is simulated and implemented in Xilinx ISE Design 14.7","PeriodicalId":265498,"journal":{"name":"2021 5th Conference on Information and Communication Technology (CICT)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124415832","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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