2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)最新文献_第3页

Near Infrared Spectroscopy (NIRs) applications in medical: Non-invasive and invasive leukemia screening 近红外光谱(NIRs)在医学上的应用:非侵入性和侵入性白血病筛查

2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515851

Ruhaizan Ismail, H. A. Rahim

引用次数: 5

7 hours flood prediction modelling using NNARX structure: Case study Terengganu 使用NNARX结构的7小时洪水预测模型:以登嘉楼为例

2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515843

F. Ruslan, A. Samad, M. Tajjudin, R. Adnan

{"title":"7 hours flood prediction modelling using NNARX structure: Case study Terengganu","authors":"F. Ruslan, A. Samad, M. Tajjudin, R. Adnan","doi":"10.1109/CSPA.2016.7515843","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515843","url":null,"abstract":"Most of the countries have paid great attention to flood water level prediction since flood may damages people's life and property. Currently, hydrological models were used to get the prediction of flood water levels. However, this involved with various parameters such as hydrometric measurements, weather forecasts and hydrogeological maps, in addition to water level, temperature and flow observations. Therefore, such models are usually difficult to develop especially when describing large and complex system such as the dynamic of flood water level. Since flood water level fluctuate highly nonlinear, it is very difficult to predict the flood water level. Since Artificial Neural Network was proven to be best model to handle nonlinear cases, this paper proposed flood prediction modelling using Artificial Neural Network (ANN) technique with 7 hours prediction time. The area of study was Terengganu where the input parameters used in this modelling were river water level at upstream stations whereas output parameter was river water level at downstream station or so called flood location. 542 samples data collected from 15/12/2011 till 19/12/2011 were used for modelling, 542 samples data collected from 26/2/2012 till 1/3/2011 were used for model validation and 428 samples data collected data from 4/6/2013 till 7/6/2013 were used for model testing. Results showed that NNARX model successfully predicted flood water level 7 hours ahead of time.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134013598","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: 10

Fast enhancement layer intra coding based on inter-channel correlations and TU depth correlation in SHVC 基于信道间相关和信道深度相关的快速增强层内编码

2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515802

Guojing Zhu, Gaoxing Chen, T. Ikenaga

引用次数: 4

Comparison of varied order for fractional-order model 分数阶模型的变阶比较

2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515856

Nuzaihan Mhd. Yusof, N. Ishak, R. Adnan, M. Tajuddin, M. Rahiman

引用次数: 0

Particle filter with least square fitting prediction and spatial relationship based multi-view elimination for 3D Volleyball players tracking 基于最小二乘拟合预测的粒子滤波和基于空间关系的多视点消除方法用于三维排球运动员跟踪

2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515797

Shuyi Huang, X. Zhuang, N. Ikoma, M. Honda, T. Ikenaga

引用次数: 10

Combination of system and source characteristics for speaker verification under limited data condition 有限数据条件下系统与声源特性相结合的说话人验证

2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515823

T. R. Jayanthi Kumari, H. S. Jayanna

引用次数: 1

New square-root-free QR-based adaptive filtering algorithms 新的无平方根qr自适应滤波算法

2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515831

M. Bhouri

{"title":"New square-root-free QR-based adaptive filtering algorithms","authors":"M. Bhouri","doi":"10.1109/CSPA.2016.7515831","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515831","url":null,"abstract":"In this paper we derive some modified QR-RLS adaptive filtering algorithms with zero square-root computation. Reduction of complexity remains a fundamental problem in adaptive filtering due to the time constraints of real applications. The proposed solution to this problem is an enrichment of the GR class of approximate QR based adaptive filtering algorithms. Inside this class, the orthogonal Q transforms (of QR-RLS) can be substituted with a more general partially non-orthogonal G transforms. The new square-root-free algorithms, in this paper, uses an approximate Givens rotation without square-root computation, it is simply based on a taylor expansion and approximation. In order to converge this transform must be followed by an additional compensation transform with O(N) complexity. Unlike previous contributions, this square-root free approach guaranteed the derivation of both standard and fast versions (O(N) complexity). We have tested two square-root free algorithms corresponding to the QR-RLS and its fast QR-based variant. The obtained results are close to those for the original algorithms. Finally, the proposed algorithms constitute a robust approximation with low complexity of the fast converging recursive least-squares.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"424 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116005315","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

Characterising the sound amplitude and force feedback for various materials in tele-haptic operation 对不同材料在远触觉操作中的声幅和力反馈进行了表征

2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515844

Crankson Kwesi Mensa, Eu Kok Seng, K. Yap

引用次数: 1

Extracting current waveforms of appliances from mixed current waveform of their current waveforms and unidentified current waveforms 从电器电流波形和未识别电流波形的混流波形中提取电器电流波形

2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515795

F. Ishiyama, Hiroshi Inoue, Yasunao Suzuki

引用次数: 0

Direct Thermal Desorption (DTD) extraction for different qualities of agarwood incense analysis 直接热解吸(DTD)萃取法对不同质量沉香进行分析

2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2016-03-04 DOI: 10.1109/CSPA.2016.7515848

N. Ismail, M. Rahiman, M. Taib, Mastura Ibrahim, S. Zareen, S. N. Tajuddin

{"title":"Direct Thermal Desorption (DTD) extraction for different qualities of agarwood incense analysis","authors":"N. Ismail, M. Rahiman, M. Taib, Mastura Ibrahim, S. Zareen, S. N. Tajuddin","doi":"10.1109/CSPA.2016.7515848","DOIUrl":"https://doi.org/10.1109/CSPA.2016.7515848","url":null,"abstract":"Agarwood is well known as one of expensive and valuable woods due to its high demand in the market. As part of ongoing research in establishing agarwood oil quality grading, this paper presents Direct Thermal Desorption (DTD) in extracting commercial, high and low quality of agarwood incense. The Gas Chromatography - Flame Ionization Detection (GC-FID) and Gas Chromatography - Mass Spectroscopy (GC-MS) then are followed to analyze the compounds. All the identified compounds are tabulated and plotted. The result showed that high quality sample yielded the highest number of compounds, 35, followed by commercial, 32 and low quality sample, 9. It revealed that the highest relative peak areas (%) for compounds in three types of sample are different to each other. They are 8.98% (γ-gurjunene) in high quality, 11.95% (agarospirol) in low quality and 17.97% (hexadecanol) in commercial. Nine compounds, α-guaiene, β-selinene, agarospirol, guaia-1(10),11-dien-15-al, pentadecanoic acid, hexadecanol, eudesmol, guaia-1(10),11-dien-15,2-olide and 2-(2-phenylethyl) chromone exist in all samples but varied in their relative peak area (%). The finding using proposed method, DTD is significant, hence it will benefit further analysis especially for agarwood grading.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114587808","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