2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA)最新文献_第6页

An MPPT micro solar energy harvester for wireless sensor networks 用于无线传感器网络的 MPPT 微型太阳能收集器

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064943

Suganti A P Senivasan, M. Drieberg, B. Singh, P. Sebastian, Lo Hai Hiung

引用次数: 18

Development of web application for agarwood oil quality discriminator in virtualization platform 沉香油质量鉴别器在虚拟化平台上的web应用开发

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064916

M. A. Abas, N. Zubir, N. Ismail, N. A. Ali, M. Rahiman, A. Yassin, S. N. Tajuddin, M. Taib

{"title":"Development of web application for agarwood oil quality discriminator in virtualization platform","authors":"M. A. Abas, N. Zubir, N. Ismail, N. A. Ali, M. Rahiman, A. Yassin, S. N. Tajuddin, M. Taib","doi":"10.1109/CSPA.2017.8064916","DOIUrl":"https://doi.org/10.1109/CSPA.2017.8064916","url":null,"abstract":"In recent years, the demand for agarwood oil has increased tremendously. Agarwood oil is being used widely in fragrance, incense and religious ceremony. The quality of agarwood oil will determine the price of the oil. However, there are some limitations on using standard approach to classify its quality as they are time consuming, expensive and the results is questionable. This paper presents on the development of web application on providing a proper classification platform to determine the quality of agarwood oil based on the sample that end user input. The main purpose of this web application is to provide a proper interface for end user to determine the quality of their agarwood oil without spending a lot of time and money. The whole web development is done inside Virtual Machine (VM) using VMWare Workstation Pro 12 as the virtualization platform. The web application is being construct using PHP programming language that runs on Apache Webserver. MySQL database is used to store and organize the data. Agarwood oil sample will be classified using Multi-Layer Perceptron (MLP) function inside MATLAB R2016a. The development carried out in this study is success and ready to be used for agarwood oil intelligent quality classification.","PeriodicalId":445522,"journal":{"name":"2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA)","volume":"1 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":"132461536","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

Development of low-cost embedded-based electrooculogram blink pulse classifier for drowsiness detection system 用于睡意检测系统的低成本嵌入式眼电眨眼脉冲分类器的研制

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064919

K. M. Tabal, J. D. dela Cruz

引用次数: 6

No-reference image quality assessment algorithm for contrast-distorted images enhanced by using directional contrast feature in curvelet domain 曲波域定向对比度增强对比度失真图像的无参考图像质量评估算法

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064925

I. T. Ahmed, C. S. Der

{"title":"No-reference image quality assessment algorithm for contrast-distorted images enhanced by using directional contrast feature in curvelet domain","authors":"I. T. Ahmed, C. S. Der","doi":"10.1109/CSPA.2017.8064925","DOIUrl":"https://doi.org/10.1109/CSPA.2017.8064925","url":null,"abstract":"Reduced-reference Image Quality Metric for Contrast-changed images (RIQMC) and No-Reference Quality metric for Contrast-Distorted Images (NR-IQACDI) are the state-of-the-art IQA for Contrast-Distorted Images (CDI). Nevertheless, there is room for improvement especially for the assessment results using image database called TID2013 and CSIQ. Most of the existing No-Reference Image Quality Assessment Algorithm (NR-IQA) metrics designed for CDI use features in spatial domain. In the current work, we pursue to compliment it with feature in Curvelet domain which is powerful in capturing multiscale and multidirectional information in an image. Indeed, the Directional Contrast (DC) is captured in the Curvelet domain of CDI by decomposing the image into several directional subbands across multiple scales using curvelet transform. Due to the fact that high-frequency subband consists of many directional information, the directional contrast of each directional subband coefficient is generated as feature vector. Finally a Support Vector Regressor (SVR) is used to predict the image quality score. Experiments are conducted to assess the effect of adding DC feature in the Curvelet domain. The experimental results based on i-fold cross validation with K ranging from 2 to 10 and statistical test indicate that the performance of NRIQACDI can be improved by adding DC feature in the Curvelet domain.","PeriodicalId":445522,"journal":{"name":"2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA)","volume":"89 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":"115061217","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

Event and feature based electrical load disaggregation using graph signal processing 基于图信号处理的基于事件和特征的电力负荷分解

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064945

Kriti Kumar, M. Chandra

引用次数: 5

Evaluation of energy consumption in small-scale agarwood distillation pot based on averaged control signal simulation 基于平均控制信号仿真的小型沉香蒸馏炉能耗评价

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064965

Nurul Nadia Mohammad, Mohd Hezri Marzaki, R. Adnan, M. Rahiman, S. N. Tajuddin

引用次数: 0

Development of mobile robot in confined space application 移动机器人在密闭空间应用的发展

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064949

A. A. Razak, A. Abdullah, K. Kamarudin, M. Bakar, J. E. M. Salih, B. Ilias, S. Shukor, F. S. A. Sa'ad, M. H. Mustafa

{"title":"Development of mobile robot in confined space application","authors":"A. A. Razak, A. Abdullah, K. Kamarudin, M. Bakar, J. E. M. Salih, B. Ilias, S. Shukor, F. S. A. Sa'ad, M. H. Mustafa","doi":"10.1109/CSPA.2017.8064949","DOIUrl":"https://doi.org/10.1109/CSPA.2017.8064949","url":null,"abstract":"Atmospheric hazards that may be present in confined space poses serious threat to human while carrying out special task in the respective location. Areas that are considered as confined space are utility tunnel, boiler, storage tank, sewage lines, man holes and underground electrical fault. Currently, there is no specific technique to replace worker in performing tasks such as collecting air sample in the confined space for hazards monitoring. Alternatively, a mobile robot which integrated with CCD camera can be used to maneuver through the environment and monitor the environment in confined space simultaneously. Therefore, this paper presents the development of the mobile robot in confined space application. Fuzzy Logic Control is implemented in the mobile robot where it allows mobile robot to function manually or automatically in completing the tasks. Furthermore, the mobile robot is also built with four wheels skid-steering driving mechanism system which provides immediate and sharp turning for obstacle avoidance. Hence, it can be proven that the mobile robot is feasible in confined space application.","PeriodicalId":445522,"journal":{"name":"2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA)","volume":"11 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":"114331927","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

Construction of corpus for learning fatigue detection from speech 语音学习疲劳检测的语料库构建

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064953

Shuxi Chen, Heming Zhao, Xueqin Chen

{"title":"Construction of corpus for learning fatigue detection from speech","authors":"Shuxi Chen, Heming Zhao, Xueqin Chen","doi":"10.1109/CSPA.2017.8064953","DOIUrl":"https://doi.org/10.1109/CSPA.2017.8064953","url":null,"abstract":"Fatigue, which belongs to human body's natural response and self-regulation for protection, is a complex physiological and mental phenomena. In recent years, a large amount of researchers from both speech signal processing and machine learning domains have already proved that fatigue detection from speech can be carried out automatically. However, the main researches concentrate on driving fatigue detection which contribute for people under work force. Besides, no one pay attention to students in school regardless of the truth of that learning fatigue is becoming more and more indispensable for its positive significance in students' school life experience, the efficiency of learning, even their physical and mental health. Although there are many methods to detect fatigue, detection from speech is a more convenient assumption. So, the corpus is the foundation of researches in detecting learning fatigue from speech. While there are several corpora about fatigue detection, few of them focus on learning fatigue (which is mainly caused by brain activities) and proving the authority and reliability of these corpora. In this paper, we construct the Soochow University Speech Processing Researches-Learning Fatigue Detection (SUSP-LFD) corpus to implement learning fatigue detection from speech. In order to solve the issues among existing corpora, we use heart rate and mean arterial blood pressure to evaluate our corpus. We first describe the construction approach in detail, and then we verify and evaluate the applicability of the corpus.","PeriodicalId":445522,"journal":{"name":"2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA)","volume":"61 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":"131106916","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

Linear predictive coding without Yule-Walker approximation for transient signal analysis: Application to switching noise 无Yule-Walker近似的暂态信号分析线性预测编码:在开关噪声中的应用

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064922

F. Ishiyama, Y. Okugawa, K. Takaya

{"title":"Linear predictive coding without Yule-Walker approximation for transient signal analysis: Application to switching noise","authors":"F. Ishiyama, Y. Okugawa, K. Takaya","doi":"10.1109/CSPA.2017.8064922","DOIUrl":"https://doi.org/10.1109/CSPA.2017.8064922","url":null,"abstract":"We are investigating countermeasure techniques against electric noise on telecommunication and related equipment. There are many types of electric noise, and we focus on the characterization of transient noise such as the switching noise of switching power supplies. We are developing a method of transient signal analysis based on linear predictive coding (LPC) for the purpose. Unfortunately, as standard LPC contains Yule-Walker (YW) approximation, which replaces a given time series with a periodic time series for simplification, it is not suitable for transient signal analysis. Therefore, our method of transient signal analysis does not contain YW approximation. Instead, we use the local linearization technique, which was developed in the field of quantum mechanics. Our method makes it possible to obtain instantaneous frequencies and instantaneous decay rates simultaneously with high precision from a small number of samples. We discuss our LPC method avoid using YW approximation and using the local linearization technique and its application to repetitive ringing signals, which mimics the switching noise of a switching power supply, to show the efficiency of our method.","PeriodicalId":445522,"journal":{"name":"2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA)","volume":"4 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":"122357728","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: 5

Video quality assessment: A review of full-referenced, reduced-referenced and no-referenced methods 视频质量评估:全参考、减少参考和无参考方法综述

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) Pub Date : 2017-03-01 DOI: 10.1109/CSPA.2017.8064957

Hoong-Cheng Soong, P. Lau

引用次数: 5