2018 International Conference on Advanced Computation and Telecommunication (ICACAT)最新文献_第7页

Effect of Gate-lap and Oxide Material at 10-nm FinFET Device Performance 栅极搭接和氧化物材料对10nm FinFET器件性能的影响

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933763

S. K. Dargar, V. Srivastava

引用次数: 2

Fast Character Recognition Using Kohonen Neural Network 基于Kohonen神经网络的快速字符识别

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933627

Shreyasi Samanta, Sneha Utkarsha, B. Gour, Vikas Tiwari

引用次数: 2

Handwritten Signature Recognition: A Convolutional Neural Network Approach 手写签名识别:一种卷积神经网络方法

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933575

Krishnaditya Kancharla, Varun Kamble, Mohit Kapoor

{"title":"Handwritten Signature Recognition: A Convolutional Neural Network Approach","authors":"Krishnaditya Kancharla, Varun Kamble, Mohit Kapoor","doi":"10.1109/ICACAT.2018.8933575","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933575","url":null,"abstract":"Handwritten Signature Recognition is an important behavioral biometric which is used for numerous identification and authentication applications. There are two fundamental methods of signature recognition, on-line or off-line. On-line recognition is a dynamic form, which uses parameters like writing pace, change in stylus direction and number of pen ups and pen downs during the writing of the signature. Off-line signature recognition is a static form where a signature is handled as an image and the author of the signature is predicted based on the features of the signature. The current method of Off-line Signature Recognition predominantly employs template matching, where a test image is compared with multiple specimen images to speculate the author of the signature. This takes up a lot of memory and has a higher time complexity. This paper proposes a method of off-line signature recognition using Convolution Neural Network. The purpose of this paper is to obtain high accuracy multi-class classification with a few training signature samples. Images are preprocessed to isolate the signature pixels from the background/noise pixels using a series of Image processing techniques. Initially, the system is trained with 27 genuine signatures of 10 different authors each. A Convolution Neural Network is used to predict a test signature belongs to which of the 10 given authors. Different public datasets are used to demonstrate effectiveness of the proposed solution.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"3 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87381702","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: 9

Design of Accident Protection System with switch over technique using Arduino Uno 基于Arduino Uno切换技术的事故防护系统设计

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933641

Shubham Kumar Raman, Shrijeet Das, Ayush Sinha

引用次数: 0

Performance Comparison of Amorphous-IGZO and Hydrogenated Silicon Based Thin Film Transistor 非晶igzo与氢化硅基薄膜晶体管的性能比较

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933691

S. K. Dargar, V. Srivastava

引用次数: 5

Concept of Double-Pole Four-Throw Switch with n-MOSFETs n- mosfet双极四投开关的概念

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933765

Thuthukani N. Msimango, V. Srivastava

引用次数: 1

Visual Secret Sharing Technique for Meaningful Shares using Boolean Operation 基于布尔运算的有意义共享的可视化秘密共享技术

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933540

Vishakha J. Kapadiya, Laxmi S. Desai, Yogesh K. Meghrajani

引用次数: 0

Analyze the Performance of Bio-Medical Image Compression Technique using Particle Swarm Optimization 利用粒子群算法分析生物医学图像压缩技术的性能

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933792

J. Maurya, Aanchal Thakur, D. Rathore

引用次数: 0

Basis & Sensing Matrix as key effecting Parameters for Compressive Sensing 基和感知矩阵是影响压缩感知的关键参数

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933745

Vivek Upadhyaya, M. Salim

{"title":"Basis & Sensing Matrix as key effecting Parameters for Compressive Sensing","authors":"Vivek Upadhyaya, M. Salim","doi":"10.1109/ICACAT.2018.8933745","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933745","url":null,"abstract":"Compressive Sensing (CS) is a new approach for compression and reconstruction of compressed signals using very minute observations. These minute observations are also called the number of measurement. The basic benefits of CS are that the number of measurements which are required for proper reconstruction of the compressed signal is very less than the conventional method. If we go through the literature then, we get that for proper reconstruction of signal a theory is given by Shannon. This theory states that the sampling frequency must be higher than twice the highest frequency component in that signal. So the limitation of the conventional method is that it requires so much storage to store and a large bandwidth to transmit the data. So researchers came with a new idea which is termed as Compressive Sensing. Key effecting parameters which are very crucial for the compressive sensing is the Basis and Sensing matrix. The basic fact behind this approach is that the signal which is used for the compression and reconstruction must be Sparse. In the analysis which is done by us in this paper is that the change in these two matrices directly changes the value of SNR which will be obtained after compression and reconstruction using the compressive sensing. The work which is carried out based on three kinds of music signals with different cases of Basis and Sensing matrices.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"39 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74146905","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

Smart Ultrasonic Insects & Pets Repeller for Farms & Inventories Purpose 智能超声波昆虫和宠物驱避器农场和库存的目的

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933607

Prafful Silakari, Prerna Silakari, Litesh Bopche, Aparna R. Gupta

{"title":"Smart Ultrasonic Insects & Pets Repeller for Farms & Inventories Purpose","authors":"Prafful Silakari, Prerna Silakari, Litesh Bopche, Aparna R. Gupta","doi":"10.1109/ICACAT.2018.8933607","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933607","url":null,"abstract":"In our country every years, vermin causes a big economic harm. Hidden and normal herd of vermin attacks plants and field gradually but it causes huge harm in agriculture area and snakes like dangerous animal harms the farmers and local community too. However, these vermin and animal can’t be recognized in their curable stage and farmer could usage the pesticides and insecticides without knowing it. Then this could reduce the efficient state. So the paper presents here, we use the design of an Automated Ultrasonic-insects and animal repeller that constitute of an ultrasonic sensor, an motion-sensor, a GSM module and Arduino Uno board.This detect the sound of vermin by noticing ultrasonic signals propagated by provisioning event of vermin in crops. Then the presence of vermin proved by the motion sensor. Once presence of vermin confirmed by both the sensors Arduino Uno board start ultrasonic repeller by which the animal or insect goes away from that area and a memorandum will be sent by using GSM module and then farmer get ready for protecting it and they can use pesticides or insecticides according to their crops.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"3 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75745794","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