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2015 International Conference on Pervasive Computing (ICPC)最新文献

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Comparative study of Multiuser Detection techniques in OFDM-IDMA systems OFDM-IDMA系统中多用户检测技术的比较研究
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7087209
Hemlata Marne, P. Mukherji
{"title":"Comparative study of Multiuser Detection techniques in OFDM-IDMA systems","authors":"Hemlata Marne, P. Mukherji","doi":"10.1109/PERVASIVE.2015.7087209","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7087209","url":null,"abstract":"Orthogonal Frequency Division Multiplexing and Interleaved Division Multiple Access is a hybrid communication system. This system has been receiving significant research attention due to their ability to address the problems like Inter symbol Interference and the Multiple Access Interference. This method is most widely used in various fourth generation wireless communication systems. In this paper, we present a comprehensive survey on OFDM-IDMA for wireless communications. Basics of OFDM-IDMA and techniques to improve the performance of OFDM-IDMA system are addressed here. Research and development are taking place all over the world to improve BER performance in OFDM-IDMA receiver by developing the effective Multiuser Detection algorithm. The Monte Carlo simulation method to measure the BER of the OFDM-IDMA system is proposed in this paper.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115265724","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: 8
Learning collective behavior of social media sites using Variant of k-means algorithm 使用变种k-means算法学习社交媒体网站的集体行为
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7087202
Magare Minal, D. R. Patil
{"title":"Learning collective behavior of social media sites using Variant of k-means algorithm","authors":"Magare Minal, D. R. Patil","doi":"10.1109/PERVASIVE.2015.7087202","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7087202","url":null,"abstract":"In this paper we have implemented a new k-means variant for clustering. Huge amount of data is generated on social media websites which challenges us to predict collective behavior. Collective behavior means to understand how the individual behaves in social networking environment. There is problem of prediction on sites as there are many numbers of actors. So because of this problem a new technique of edge centric clustering is carried out here which extracts sparse social dimensions. A k-means variant algorithm is then implemented for clustering which reduces the time required for clustering. The experimental results shows that variant of k-means has given better results than the other k-means algorithm. We could see this by the comparison shown of two k means algorithms.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127323677","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: 1
Investigation in FIR filter to improve power efficiency and delay reduction FIR滤波器中提高功率效率和降低延迟的研究
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7087022
Rameshwari Sathe, Vijayalaxmi B Patil, Nitin Patil
{"title":"Investigation in FIR filter to improve power efficiency and delay reduction","authors":"Rameshwari Sathe, Vijayalaxmi B Patil, Nitin Patil","doi":"10.1109/PERVASIVE.2015.7087022","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7087022","url":null,"abstract":"In design of Finite Impulse Response (FIR) filter using adder, coefficients and multiplication are used. Multiple Constant Multiplication (MCM) is the algorithm which is used in FIR designing to minimize complexity of the circuit, increased delay and multiplication using large area. These problems can be optimized by using new technique known as digit-serial multiple constant multiplications. It reduces the complexity, delay and area utilization. Along with this already existed method, the modified carry select adder implemented in the current paper. It shows that there should be 10-20% increment in power efficiency and 50% reduction in delay compared to already exist techniques.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123266885","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
Review on FFT architecture for real valued signals using Radix 25 algorithm 用Radix 25算法处理实值信号的FFT结构综述
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7087124
Ajinkya A. Naoghare, A. Sakhare
{"title":"Review on FFT architecture for real valued signals using Radix 25 algorithm","authors":"Ajinkya A. Naoghare, A. Sakhare","doi":"10.1109/PERVASIVE.2015.7087124","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7087124","url":null,"abstract":"A novel approach to develop a Fast Fourier Transform (FFT) for real valued signal using Radix 25 algorithm is proposed in this paper. Methodology is to modify the flow graph of the FFT architecture. Redundant components are replaced by the imaginary computations. Hardware complexity of this RFFT architecture will be low compared to Radix 23 and Radix 24 algorithms in terms of adder, multiplier and delay. This proposed architecture maximizes utilization of hardware with no redundant computation. RFFT is used for real time applications and also in portable devices where low power consumption is the main requirement. So accordingly vedic multiplier and carry save adder has been used in the proposed work.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123680387","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: 1
A study on various face detection techniques in real time video environment 实时视频环境下各种人脸检测技术的研究
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7086990
D. Sakharkar, S. Bodkhe
{"title":"A study on various face detection techniques in real time video environment","authors":"D. Sakharkar, S. Bodkhe","doi":"10.1109/PERVASIVE.2015.7086990","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7086990","url":null,"abstract":"Day to day the increases in the use of social networking sites like Facebook, twitter, Instagram etc. so most of the peoples are shearing the images and videos by different social networking sites. The users are very much interested in uploading the images or videos on the internet in which most of the photos and videos contain faces. Thus with the rapidly growing photos and videos on the internet the large scale content base face image retrieval is a facilitating technology for many important applications. In this paper, we will introduce the face image retrieval technique from the video frames. Our aim is to detect human attributes automatically which contain semantic cues of face photos to improve content base face retrieval. By using human attributes in a systematic and scalable framework. The attribute-enhanced sparse coding is used to improve the performance of face retrieval in the offline and online stages. The result shows that the face images which is occurs in the video and match with our face database.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115218382","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
Trained adaptive filter based approach to mitigate ICI in OFDM system 基于训练自适应滤波器的OFDM系统ICI缓解方法
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7087036
A. Khedkar, M. Murugan
{"title":"Trained adaptive filter based approach to mitigate ICI in OFDM system","authors":"A. Khedkar, M. Murugan","doi":"10.1109/PERVASIVE.2015.7087036","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7087036","url":null,"abstract":"Orthogonal frequency division multiplexing (OFDM) is a form of multicarrier transmission technique used in today's modern wireless network's to achieve high speed data transmission with good spectral efficiency. OFDM offers advantages like Immunity to ISI, timing jitter and robust performance in multi path fading. Due to these advantages OFDM attracted a lot of attention in modern wireless networks like Digital audio broadcasting (DAB), Digital video broadcasting (DVB), Wireless local area network (WLAN), WiMAX etc. However the main drawback of OFDM system is that it is highly sensitive to the frequency offset among the subcarriers. The carrier frequency offset occurs due to mismatch in local oscillator frequency at the transmitter or receiver or by the Doppler phenomenon in mobile channels. This carrier frequency offset degrades the performance of OFDM system by introducing intercarrier interference (ICI). In this paper trained adaptive filtering based technique is proposed to mitigate the effect of intercarrier interference in OFDM system, which leads to the improvement in the performance of the system. Performance analysis of the system is carried out in terms of bit error rate (BER), intercarrier interference power (ICI) and carrier to interference ratio (CIR).","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116124254","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 Genetic Algorithm-based 3D feature selection for lip reading 基于遗传算法的唇读三维特征选择
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7087023
S. Morade, S. Patnaik
{"title":"A Genetic Algorithm-based 3D feature selection for lip reading","authors":"S. Morade, S. Patnaik","doi":"10.1109/PERVASIVE.2015.7087023","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7087023","url":null,"abstract":"In lip reading, selection of features play crucial role. In lip reading applications database is video, so 3 Dimensional transformation is appropriate to extract lip motion information. State of art the lip reading is based on frame normalization and frame wise feature extraction. However this is not appropriate due to chances of information loss during frame normalization. Also all the frames cannot be considered equally as they bear varying motion information. In this paper 3D transform based method is proposed for feature extraction. These features are the input to Genetic Algorithm (GA) model for discriminative analysis. Genetic Algorithm is used for dimensionality reduction and to improve the performance of the classifiers at low cost of computation. Both testing and training time for classifier is reduced by compact feature size. For experimentation of digit utterances CUAVE and Tulips database are used. The results obtained are compared with various feature selectors from WEKA software. It is found that from classification accuracy point of view proposed method is better than others.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122505479","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: 1
A 90nm low power OTA using adaptive bias 采用自适应偏置的90nm低功耗OTA
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7086981
Akshay N. Bhatkar, M. Mali, Pratik P. Deshmukh
{"title":"A 90nm low power OTA using adaptive bias","authors":"Akshay N. Bhatkar, M. Mali, Pratik P. Deshmukh","doi":"10.1109/PERVASIVE.2015.7086981","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7086981","url":null,"abstract":"Low power class AB operational transconductance amplifier (OTA)which is fully differential operating at low voltage 0.4 V supply designed in low cost 90nm technology is proposed in this paper. Differential pairs such as P channel and N channel with complementary input configuration are used in input stage to achieve input common mode range (ICMR) which is full rail to rail. For increasing slew rate without sacrificing power consumption adaptive bias circuits are used hence amplifier works in class AB. The common mode feed forward circuit (CMFF) is employed for maximizing common mode rejection ratio (CMRR). To make system power efficient whole amplifier operates in weak inversion region. After designing layout of an op amp, Simulation with parasitic is carried out and shows that DC gain of 51.15 dB, 876.5 kHz unity gain bandwidth (UGB)with 77.7° phase margin for 10 pF capacitive load and slew rate of 0.1 V/μs; CMRR and PSRR are 116.9 and 97.30 dB respectively. The proposed OTA dissipates very less power of 4.78 μW and shows ability to use in applications where less energy is mandatory.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116798920","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
Low complexity modified constant Log-Map algorithm for radix-4 turbo decoder 基数4 turbo译码器的低复杂度修正常数对数映射算法
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7087135
P. D. Bahirgonde, S. Dixit
{"title":"Low complexity modified constant Log-Map algorithm for radix-4 turbo decoder","authors":"P. D. Bahirgonde, S. Dixit","doi":"10.1109/PERVASIVE.2015.7087135","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7087135","url":null,"abstract":"Turbo decoding for 3GPP-LTE wireless communication standard is most challenging task to reduce computational complexity. This paper presents 8-state trellis VHDL implementation of radix-2 and radix-4 form. In a practical system, the original MAP algorithm is too complex for implementation. All the branch metrics required for calculating LLR values are stored in a RAM. Max* function is implemented with correction factor to improve performance. The proposed, implemented algorithm is almost identical to max* function. With increasing demand for different data rate and services for communication system reconfigurability is important. So implementation is targeted towards Xilinx Virtex E FPGAs. The turbo decoder uses soft in soft out (SISO) decoders to decode one code word.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129780973","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: 4
Comparative analysis between IEEE 802.11 and S-MAC IEEE 802.11与S-MAC的比较分析
2015 International Conference on Pervasive Computing (ICPC) Pub Date : 2015-04-16 DOI: 10.1109/PERVASIVE.2015.7087167
Ankur P. Dave, Shweta Singh
{"title":"Comparative analysis between IEEE 802.11 and S-MAC","authors":"Ankur P. Dave, Shweta Singh","doi":"10.1109/PERVASIVE.2015.7087167","DOIUrl":"https://doi.org/10.1109/PERVASIVE.2015.7087167","url":null,"abstract":"The Wireless Sensor Network technology has a great importance in present day scenario due to its novel approaches and versatility in its use. Still the technology is endeavoring against many challenges. The basic functionality of Wireless Sensor Network is to provide mobility. By designing the network and nodes, providing mobility to the nodes results into many other problems. Like energy efficiency, common coverage problem, hidden terminal problem, ideal listening and many more. In general scenarios, the IEEE 802.11 standard which is also termed as Wi-Fi, is popular. Medium Access Control Protocol plays a vital role in terms of managing the main resource that is channel or bandwidth in between nodes. The paper comprises of few techniques adapted by S-MAC protocol which improves throughput, number of packets lost and packet delivery ratio in comparison to IEEE 802.11 standards. The simulation of the IEEE 802.11 and S-MAC is made in this paper.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130296563","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
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