2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA)最新文献_第3页

A multilayered acoustic signal generator for low power energy harvesting 一种用于低功耗能量收集的多层声信号发生器

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064955

Md Rabiul Awal, M. Jusoh, H. Rahim, T. Sabapathy, M. N. Osman, M. Jais, M. Kamarudin

引用次数: 0

Understanding real time simulation on single phase inverter using low cost microcontroller for undergraduate level 了解用低成本单片机实现单相逆变器的实时仿真

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064940

S. A. Zulkifli, Aqeela Hamzah

引用次数: 2

Investigation on channel capacity enhancement for MIMO-OFDM in fading channels using hybrid water filling and nash algorithm 基于混合充水和纳什算法的MIMO-OFDM衰落信道容量增强研究

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064960

A. Farzamnia, Eng Soo Yew, Md. Nazrul Islam

{"title":"Investigation on channel capacity enhancement for MIMO-OFDM in fading channels using hybrid water filling and nash algorithm","authors":"A. Farzamnia, Eng Soo Yew, Md. Nazrul Islam","doi":"10.1109/CSPA.2017.8064960","DOIUrl":"https://doi.org/10.1109/CSPA.2017.8064960","url":null,"abstract":"In this competing wireless communication system, channel capacity is one of the important considerations in promising reliable communication over wireless medium. The demand for channel capacity is increasing from time to time due to the increase of wireless network users. The combination of Multiple Input Multiple Output and Orthogonal Frequency Division Multiplexing (MIMO-OFDM) is a convincing solution to enhance the capacity of different fading channels. However, the channel capacity is still limited by the use of power allocation algorithm. The existing channel capacity is dependent on Water Filling power allocation algorithm. In this paper, a hybrid algorithm of Water Filling and Nash algorithm is proposed and is applied to revise the power allocations to the channels. The proposed method has considered Rayleigh, Rician and Nakagami fading channels in the simulations. The results have shown that the channel capacity is increased significantly in different fading channels by using the proposed method compared to the existing water filling algorithm. In the future, researchers may focus on the improvement of the channel capacity in terms of power allocation method.","PeriodicalId":445522,"journal":{"name":"2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126303699","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

Scattering performance verification based on UWB imaging and neural network 基于超宽带成像和神经网络的散射性能验证

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064958

V. Vijayasarveswari, M. Jusoh, S. Khatun, M. Fakir

{"title":"Scattering performance verification based on UWB imaging and neural network","authors":"V. Vijayasarveswari, M. Jusoh, S. Khatun, M. Fakir","doi":"10.1109/CSPA.2017.8064958","DOIUrl":"https://doi.org/10.1109/CSPA.2017.8064958","url":null,"abstract":"Breast cancer cases are increasing year by year and second leading reasons for the women's death worldwide. Early detection is very important and will help to save thousands of peoples' lives. The available systems such as Mammogram, MRI and ultrasound are invasive, expensive and need expert to operate. This paper presents a low cost and non-invasive breast cancer detection system for early detection. This system consisted hardware which consist a pair of home-made antenna and Ultra wide-band (UWB) and software which consist of a Neural Network (NN) module. Antenna will transmit the signal while another will receive. Both forward scattering and backward scattering performance are analyzed. The received signals are fed into NN module for further processing. Breast phantom is placed in the center and a pair of home-made antennas was placed diagonally opposite side of the breast phantom. K-fold cross validation based feed forward NN is used to train, validate and test the features. The system can screen the breast cancer with average detection performance of 87.55% using backward scattering signals while 84.17% using forward scattering signal. The proposed breast cancer detection system will be very useful for home user to check breast health regularly.","PeriodicalId":445522,"journal":{"name":"2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA)","volume":"283 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132605291","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

Monitoring quarry areas using remote sensing techniques 利用遥感技术监测采石场

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064974

P. Salim, Muhammad Anas Md Jais, Noorita Sahriman, A. Samad, M. A. Abbas, I. Maarof, Nazirah Md Tarmizi

引用次数: 2

Joint image compression and encryption based on compressed sensing and entropy coding 基于压缩感知和熵编码的联合图像压缩与加密

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064937

Mohab Mostafa, M. Fakhr

{"title":"Joint image compression and encryption based on compressed sensing and entropy coding","authors":"Mohab Mostafa, M. Fakhr","doi":"10.1109/CSPA.2017.8064937","DOIUrl":"https://doi.org/10.1109/CSPA.2017.8064937","url":null,"abstract":"In this paper, we propose a joint image compression and encryption technique based on Compressed Sensing (CS). Our work is based on JPEG standard. After the quantization stage, blocks in the DCT domain become sparse, however, if we use CS on the whole block the Entropy coding compression is severely affected. As a result, we split the DCT coefficients between Entropy coding path and CS path followed by its Entropy coder. As an added value for CS, partial encryption is achieved. To split the DCT coefficients to Entropy and CS paths, we developed five different algorithms; each algorithm uses a unique method to split every 8×8 block in the image into two parts. First part is encoded using Huffman coding, while the second part goes through compression stage using CS, then encoded using Huffman coding. At the end, we combine encoded parts to get the compressed and encrypted image. To strengthen the image encryption, we use the CS secret key to shuffle image blocks using Arnold Cat Map. The five algorithms are tested on 15 popular images and the results show that 2 techniques can achieve compression gain over JPEG as well as the partial encryption, all at a PSNR very close to JPEG.","PeriodicalId":445522,"journal":{"name":"2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128116149","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

Utilizing unsupervised weightless neural network as autonomous states classifier in reinforcement learning algorithm 利用无监督无权重神经网络作为自主状态分类器的强化学习算法

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064963

Yusman Yusof, Asri H. Mansor, Adizul Ahmad

引用次数: 1

Mangrove area detection by using high resolution satellite imagery 利用高分辨率卫星图像进行红树林区域探测

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064968

A. Samad, Nor Shafikah Iliyas, Noorita Sahriman, F. Ruslan, M. Z. Zainal, N. Ghazali, Nurul Ain Mohd Zaki, K. Zainuddin

{"title":"Mangrove area detection by using high resolution satellite imagery","authors":"A. Samad, Nor Shafikah Iliyas, Noorita Sahriman, F. Ruslan, M. Z. Zainal, N. Ghazali, Nurul Ain Mohd Zaki, K. Zainuddin","doi":"10.1109/CSPA.2017.8064968","DOIUrl":"https://doi.org/10.1109/CSPA.2017.8064968","url":null,"abstract":"Mangrove usually found on the outfall or along the beach and commonly the area is a mudflats area. Mangroves have many important roles to the environment and to the marine ecosystem and also protect land from the erosion, flood and even tsunami. Mangrove can be a shelter when there is tempest that come from the sea and can reduce the erosion to the land that cause from the wave. Mangrove have main important role for ecosystem, mapping of the mangrove should be done. But to get the information to map the mangrove area might be difficult since the area of the mangrove is a mudflats area and might have constraint to get the information to map the mangrove area. In this study using remote sensing technology, mapping for mangrove area are easier since it is use satellite image and no need to go to the field which might have difficult and probably have to take longer time to get the data. This study is about to detect mangrove area by using high resolution satellite imagery. Since this study is to detect mangrove area by using high resolution satellite imagery and there are many types of satellite imagery are available, Quickbird images have been used to detect mangrove area. Visual interpretation technique being used to choose the training area and supervised and unsupervised classification will be performed.","PeriodicalId":445522,"journal":{"name":"2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA)","volume":"124 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120884675","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

Motor imagery EEG analysis for home appliance control 家用电器控制的运动意象脑电分析

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064972

A. Jais, W. Mansor, K. Y. Lee, W. Fauzi

引用次数: 9

A five band near-infrared portable sensor in nondestructively predicting the internal quality of pineapples 五波段近红外便携式传感器无损预测菠萝内部品质

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064938

Mohamad Nur Hakim Jam, K. Chia

引用次数: 8