2016 IEEE Annual India Conference (INDICON)最新文献_第10页

Design of low power VLSI-architecture and ASIC implementation of fuzzy logic based automatic car-parking system 基于模糊逻辑的低功耗vlsi架构和ASIC实现自动泊车系统的设计

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7839149

Enna Sachdeva, P. Porwal, Nalini Vidyulatha, R. Shrestha

{"title":"Design of low power VLSI-architecture and ASIC implementation of fuzzy logic based automatic car-parking system","authors":"Enna Sachdeva, P. Porwal, Nalini Vidyulatha, R. Shrestha","doi":"10.1109/INDICON.2016.7839149","DOIUrl":"https://doi.org/10.1109/INDICON.2016.7839149","url":null,"abstract":"In this work, the overall system design of the automatic car-parking application has been presented where its non-linear control estimation is based on the fuzzy logic control (FLC) model. Finite state machine (FSM) based central controller has been used to operate such FLC model. It performs a series of operations required for the real-time car-parking process. Subsequently, the defuzzifier architecture has been further optimized using resource sharing technique which reduces the overall chip area and power consumption of the proposed car parking system. Additionally, we have discussed the results from field-programmable gate-array (FPGA) synthesis and application-specific integrated-circuit (ASIC) implementations of the suggested architecture and compared with the conventional architecture. Functional verification of the design using simulation tool for a similar set of inputs has been performed in this work. Thus, the suggested architecture occupies an area of 46335 μm2 and consumes a total power of 0.06254 mW at 60 MHz, when synthesized and post-layout simulated in 180 nm complementary metal-oxide semiconductor (CMOS) technology node.","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122904655","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

A novel methodology to design permanent magnet synchronous generator for ocean current turbine applications 一种用于海流涡轮的永磁同步发电机设计新方法

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7838983

D. Leo, B. Pattanaik, Y. Rao, P. Jalihal

引用次数: 1

MINLP for hydrothermal scheduling problem considering transmission loss 考虑传输损耗的热液调度问题的MINLP算法

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7838997

S. Sutradhar, N. B. Dev Choudhury, N. Sinha

{"title":"MINLP for hydrothermal scheduling problem considering transmission loss","authors":"S. Sutradhar, N. B. Dev Choudhury, N. Sinha","doi":"10.1109/INDICON.2016.7838997","DOIUrl":"https://doi.org/10.1109/INDICON.2016.7838997","url":null,"abstract":"In this paper the hydrothermal scheduling problem is solved in MINLP environment using a recently developed BONMIN solver. The system is modeled considering various practical situation like unit commitment condition or inter-temporal limitations and also as a novel approach the transmission loss is incorporated in the formulation by accurate loss evaluation. As the GAMS environment is incapable of efficiently calculate the loss of the transmission network, MATLAB is used to calculate the transmission loss of the system and the optimization tool for GAMS software is used to optimize the system. There are many algorithm which has been used on similar condition but for a system as complicated as the problem considered in this research is not solved before as efficiently. The proposed solution technique is tested against a test system in two different scenario. Although there are two more system which are tested but due to space limitation, is not shown. The experimental results are compared with some heuristic as well as meta-heuristic algorithms and MINLP algorithm with BONMIN solver is found to be most proficient in terms of solution quality and convergence.","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129227856","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

A finite-time partial IGC approach for formation flying with collision avoidance 避碰编队飞行的有限时间局部IGC方法

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7838987

Harshal B. Oza, R. Padhi

引用次数: 1

Constant modulus hybrid recursive and least mean squared algorithm performance comparable to unscented Kalman filter for blind beamforming 恒模混合递推和最小均方算法的性能可与无气味卡尔曼滤波相媲美

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7838889

V. Ranganathan, G. Prabha, K. Narayanankutty

引用次数: 4

Context based interesting tweet recommendation framework 基于上下文的有趣推特推荐框架

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7838957

Maulik Dang, Sanjay Singh

引用次数: 1

Bearing fault diagnosis of a three phase induction motor using stockwell transform 基于斯托克韦尔变换的三相异步电动机轴承故障诊断

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7838972

Megha Singh, Abdul Gafoor Shaik

引用次数: 4

Scalable low bit rate CELP coder based on compressive sensing and vector quantization 基于压缩感知和矢量量化的可扩展低比特率CELP编码器

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7838928

M. A. Sankar, P. S. Sathidevi

{"title":"Scalable low bit rate CELP coder based on compressive sensing and vector quantization","authors":"M. A. Sankar, P. S. Sathidevi","doi":"10.1109/INDICON.2016.7838928","DOIUrl":"https://doi.org/10.1109/INDICON.2016.7838928","url":null,"abstract":"Code Excited Linear Prediction (CELP), one of the most famous hybrid speech coders, exploits the advantages of parametric coders and waveform coders. The quality of reconstructed speech increases with the size of Gaussian codebook used for quantizing excitation sequences. But this results in increased transmission bit rate and search complexity of the codebook. This can be dealt with using tools from Compressed Sensing (CS) domain that transfers complexity of transmitter to space of sparse recovery at receiver. Sparse signal recovery gained much interest in signal processing research as it allows data sampling below Nyquist rate. A Compressive Sensing based CELP coder that allows bit rate scalability by varying the dimension of the measurement vectors is designed and implemented in this paper. Vector quantization of CS measurements and Linear Predictive Coding (LPC) coefficients using Gaussian and LPC codebooks respectively resulted in a bit rate of 11.9kbps which is less than that of CELP coder of the same speech quality. By optimizing the number of bits allocated for parameters and interpolating the LP coefficients, the bit rate is further reduced to 8.1kbps without much degradation in the quality of the reconstructed speech.","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115672220","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: 6

Technique for effective validation of bio sensor using auto-associative neural network 基于自关联神经网络的生物传感器有效验证技术

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7839014

Subhas A. Meti, V. Sangam

引用次数: 0

Coarse correction of a high energy laser weapon system with target estimation 基于目标估计的高能激光武器系统粗校正

2016 IEEE Annual India Conference (INDICON) Pub Date : 2016-12-01 DOI: 10.1109/INDICON.2016.7839058

Swastik Samantaray, R. Padhi

引用次数: 0