2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)最新文献_第6页

Gesture control robot using accelerometer 手势控制机器人使用加速度计

2017 4th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2017-09-01 DOI: 10.1109/ISPCC.2017.8269666

Rashmi Vashisth, Akshit Sharma, S. Malhotra, Saurabh Deswal, Aman Budhraja

引用次数: 4

Lane line detection in real time based on morphological operations for driver assistance system 基于形态学操作的车道线实时检测在驾驶员辅助系统中的应用

2017 4th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2017-09-01 DOI: 10.1109/ISPCC.2017.8269696

M. Kodeeswari, Philemon Daniel

引用次数: 6

FPGA implementation of unsigned multiplier circuit based on quaternary signed digit number system 基于四进有符号数制的无符号乘法器电路的FPGA实现

2017 4th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2017-09-01 DOI: 10.1109/ISPCC.2017.8269755

Radhika Thakur, Shruti Jain, M. Sood

{"title":"FPGA implementation of unsigned multiplier circuit based on quaternary signed digit number system","authors":"Radhika Thakur, Shruti Jain, M. Sood","doi":"10.1109/ISPCC.2017.8269755","DOIUrl":"https://doi.org/10.1109/ISPCC.2017.8269755","url":null,"abstract":"Digital systems are mainly used in data processing, control systems and computation. They are having numberof advantages over analog system: one of advantage is fast arithmetic operation. There are different techniques for performing arithmetic operations such as Binary Signed Digit(BSD), Wallace, Booth multiplication etc. Using binary number system for arithmetic operation generates carry which creates delay and reduce the speed of operation. To overcome this problem we are using higher radix number system such as Quaternary Signed Digit (QSD). QSD number system is base 4 number system. QSD is represented by decimal numbers as : 0, 1, 2 and 3. It is responsible for carry free arithmetic operations. In this paper we proposed a high speed, low power QSD multiplier which is capable of doing carry free operation. This circuit can multiply both signed and unsigned numbers without any extra delay. This circuit also increases the speed of operation and is less complex. The circuit is simulated on XilinxSPARTAN 3E-100or250 field programmable gate array (FPGA) board using Verilog HDL.","PeriodicalId":142166,"journal":{"name":"2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114303469","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: 3

Polynomial based fractal image compression using DWT screening 基于小波变换筛选的多项式分形图像压缩

2017 4th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2017-09-01 DOI: 10.1109/ISPCC.2017.8269740

P. Chauhan, Bhumika Gupta, Upendra Ballabh

引用次数: 2

Comparative analysis between SVM & KNN classifier for EMG signal classification on elementary time domain features 基于初等时域特征的SVM与KNN分类器肌电信号分类的比较分析

2017 4th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2017-09-01 DOI: 10.1109/ISPCC.2017.8269670

Yogesh Paul, Vibha Goyal, R. Jaswal

引用次数: 35

A survey on cost aware task allocation algorithm for cloud environment 云环境下成本感知任务分配算法研究

2017 4th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2017-09-01 DOI: 10.1109/ISPCC.2017.8269756

Manish Gupta, Anurag Jain

引用次数: 2

Area and power efficient register allocation technique for the implementation of PCA 实现PCA的面积和功耗高效寄存器分配技术

2017 4th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2017-09-01 DOI: 10.1109/ISPCC.2017.8269684

Sukhmani K. Thethi, Ravi Kumar

引用次数: 0

Towards an analysis for quality assessment of semantic web based applications and SaaS 面向基于语义web的应用和SaaS的质量评估分析

2017 4th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2017-09-01 DOI: 10.1109/ISPCC.2017.8269697

Naveen Malik, Vinisha Malik, Sandip Goel

引用次数: 1

Identifying big data dimensions and structure 确定大数据的维度和结构

2017 4th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2017-09-01 DOI: 10.1109/ISPCC.2017.8269669

Meenu Dave, Jahangir Kamal

引用次数: 5

Combinational feature approach: Performance improvement for image processing based leaf disease classification 组合特征方法:基于图像处理的叶片病害分类性能改进

2017 4th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2017-09-01 DOI: 10.1109/ISPCC.2017.8269743

M. Goswami, S. Maheshwari, Amarjeet Poonia

{"title":"Combinational feature approach: Performance improvement for image processing based leaf disease classification","authors":"M. Goswami, S. Maheshwari, Amarjeet Poonia","doi":"10.1109/ISPCC.2017.8269743","DOIUrl":"https://doi.org/10.1109/ISPCC.2017.8269743","url":null,"abstract":"Plant disease is main reason of agricultural crops production losses. Leaf disease in plant occurs due to fungai, virus and bacterias. Image contains various important features which is used in classification. In this paper author initially detect disease then classify disease using extracted features. It takes five diseased leaves (Black rot, Black Measles, Leaf blight, Septoria leaf spot, Bacterial spot) and healthy leaf images then identify leaf is diseased or healthy then if leaf is diseased then classify type of disease. Color features mean, standard deviation, skewness and kurtosis computed then Region based shape feature calculated to identify the size of spots. Texture feature calculated using gray level co-occurrence matrix (GLCM) which identifies texture of image using distance and 45° angle variation in GLCM. Extracted features sent to trained feed forward neural network and classify diseased with color, shape and texture feature individually and combination of all features then observe that combination of color, shape and texture feature improve the performance of classification accuracy.","PeriodicalId":142166,"journal":{"name":"2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122960557","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: 3