2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)最新文献

Enhance the Lifetime of PCM Memory by Reducing the Bit Flips 通过减少位翻转来提高PCM存储器的寿命

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760521

Bhukya Krishna Priya

{"title":"Enhance the Lifetime of PCM Memory by Reducing the Bit Flips","authors":"Bhukya Krishna Priya","doi":"10.1109/AISP53593.2022.9760521","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760521","url":null,"abstract":"Memory technology has been growing at a very fast rate in these past few years and the recent trend of replacing Volatile memories such as DRAM, with NonVolatile Memory (NVM) technologies such as Phase change Memory (PCM) and Spin Transfer Torque RAM(STT-RAM) is becoming more prevalent. But their drawback of not having a lifetime comparable to that of their Volatile counterparts, has still kept the idea of NVMs as cache, still a challenge. Apart from this, the information wm resist in the memory even though power is off and this may lead to data threats. Hence, to protect sensitive data, the Advanced Encryption Standard Counter Mode (AES-CTR) algorithm is used to encrypt the information, which is have a huge number of bit flips to be written on the memory. This paper deals with one such method to have the higher lifetime of NVM, namely PCM by having lesser the bit transitions to be written on the memory. The proposed architecture is implemented in Gem5 simulator and also synthesized and implemented using Xilinx ISE 14.7. The model has also been simulated using Parsec and iSim using standardized test vectors and the result shows that 5% improvement in lifetime is observed, 21% and 25% of the hardware components are utilized for read and write phase.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73577148","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

RF/Analog Parameters in DMG-FinFET for Channel Material Beyond Si 非硅通道材料DMG-FinFET的射频/模拟参数

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760589

R. Saha, B. Bhowmick, Srimata Baishya

引用次数: 1

Study on Recent Trends of Smart Wearable 智能可穿戴设备最新发展趋势研究

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760637

N. Anusha, B. P. Kumar, Lucky Agarwal

引用次数: 1

Symmetrical slot in patch for frequency band addition and rejection characteristics 贴片中的对称槽用于频带添加和抑制特性

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760605

Y. Venkata Lakshmaiah, B. Roy, F. Falcone

引用次数: 0

An Early Detection of Parkinson’s Disease from Geometric Drawings 从几何图形中早期发现帕金森病

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760641

Vishal Nandan Medhi, Kaustav Moni Basumatary, R. Murugan, Tripti Goel

引用次数: 0

Design of a State Derivative Optimal Control Law Using LMI Technique for Diving Motion of Autonomous Underwater Vehicle 基于LMI技术的自主潜航器潜水运动状态导数最优控制律设计

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760550

V. Siddhartha, S. Mahapatra

引用次数: 0

Power Quality Assessment in a Microgrid System using Signal Decomposition Techniques 基于信号分解技术的微电网电能质量评估

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760627

Rasmi Ranjan Panigrahi, M. Biswal, Manohar Mishra

引用次数: 0

Human Detection in Aerial Images using Deep Learning Techniques 使用深度学习技术的航空图像中的人体检测

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760635

Sireesha Gundu, Hussain Syed, J. Harikiran

引用次数: 2

An Efficient Method for Vehicle theft and Parking rule Violators Detection using Automatic Number Plate Recognition 一种基于车牌自动识别的车辆盗窃及违章停车行为检测方法

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760556

A. Mohammad, M. Suneetha, M. Muqeet

{"title":"An Efficient Method for Vehicle theft and Parking rule Violators Detection using Automatic Number Plate Recognition","authors":"A. Mohammad, M. Suneetha, M. Muqeet","doi":"10.1109/AISP53593.2022.9760556","DOIUrl":"https://doi.org/10.1109/AISP53593.2022.9760556","url":null,"abstract":"A modern-day security technology is the Automatic Number Plate Recognition (ANPR) system. The fundamental component of an ANPR system is image processing. This uses an optical character recognition (OCR) approach to read and extract characters from a vehicle registration plate image. Automatic Number Plate Recognition (ANPR) has been popular in a variety of settings. It can be used by highway tollgate authorities to allow vehicles to enter toll roads by automatically recognising their license plates, providing them with a toll-slip, and then opening the road. Parking authorities in areas like malls and hotels use this technique to assign distinct parking spaces to individual cars and allow them to park in their designated area. We snap images of the license plate with this ANPR device, then process and extract every character of the license plate for exact detection. The crucial phase of ANPR is OCR, which extracts and converts the characters on the acquired image of the vehicle registration plate into text that can be decoded further. In this study, we propose a method for parking rule offenders that involves storing the extracted number plates in a database and cross-verifying them against existing registered number plates that have paid the parking fee. Our proposed method can also detect stolen autos.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78328168","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

Enhancement of Higher Order Modes Using Characteristic Mode Analysis 利用特征模态分析增强高阶模态

2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2022-02-12 DOI: 10.1109/AISP53593.2022.9760571

V. Kollipara, Samineni Peddakrishna

引用次数: 1