2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA)最新文献

Direct Blind Equalization Corresponding to Noisy Environment using Rayleigh Quotient 基于瑞利商的噪声环境直接盲均衡

2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2019-04-22 DOI: 10.1109/CSPA.2019.8696078

Minoru Komatsu, N. Tanabe, T. Furukawa

引用次数: 6

An MFL Probe using Shiftable Magnetization Angle for Front and Back Side Crack Evaluation 利用可调磁化角的磁流变探针评价前后侧裂纹

2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2019-04-22 DOI: 10.1109/CSPA.2019.8696064

Mohd Aufa Hadi Putera Zaini, Mohd Mawardi Saari, N. A. Nadzri, Aiman Mohd Halil, K. Tsukada

{"title":"An MFL Probe using Shiftable Magnetization Angle for Front and Back Side Crack Evaluation","authors":"Mohd Aufa Hadi Putera Zaini, Mohd Mawardi Saari, N. A. Nadzri, Aiman Mohd Halil, K. Tsukada","doi":"10.1109/CSPA.2019.8696064","DOIUrl":"https://doi.org/10.1109/CSPA.2019.8696064","url":null,"abstract":"Magnetic Flux Leakage (MFL) is one of the common methods in Non-destructive Tests employing magnetic technique. It can be used to detect flaws such as cracks in metallic materials such as steel, whereas, steel is widely known as a base material used for constructions. Therefore, early detection of these flaws is very crucial in order to prevent any accident that could cost lives. Conventionally, MFL method utilizes a strong magnetic field to saturate samples and detects the magnetic flux leakage. However, in this study, a sensitive magnetic probe has been developed to remove the need of using a strong magnetic field to saturate samples. the MFL probe is fabricated with 2 AMR sensors, a home-made amplifier circuit, a set/reset circuit and a flexible yoke. Furthermore, the flexible yoke is proposed in order to apply the magnetic field to the sample at different magnetization angles. Using the developed probe, we measure the magnetic responses at front and back side surfaces of a 2-mm galvanized steel plate at different frequencies. The sample itself is embedded with artificial slits with different depth, ranging from 1.0 mm to 1.6 mm. Moreover, the effect of different magnetization angle of 60° and 90° from the surface is also discussed. From the results, it can be said that the 60° magnetization angle from the surface is proved to provide a considerable improvement for the surface slit detection, while, having close to no effect compared to the 90° magnetization angle on the back side slit detection.","PeriodicalId":400983,"journal":{"name":"2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"33 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126071755","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

Investigating the Effect of Mass Variation for Sliding Mode Control of Functional Electrical Stimulation Aided Sit-to-Stand in Paraplegia 研究质量变化对功能性电刺激辅助瘫痪患者坐立滑模控制的影响

2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2019-04-22 DOI: 10.1109/CSPA.2019.8696082

M. Ahmed, M. S. Huq, B. S. K. Ibrahim

引用次数: 0

Automatic QRS Onset Detection of ECG Signal using Secant Line Slope Formula 基于割线斜率公式的心电信号QRS起始点自动检测

2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2019-04-22 DOI: 10.1109/CSPA.2019.8695982

Shaliza Jumahat, G. Beng, N. Misran, M. Islam, Nurhafizah Mahri

{"title":"Automatic QRS Onset Detection of ECG Signal using Secant Line Slope Formula","authors":"Shaliza Jumahat, G. Beng, N. Misran, M. Islam, Nurhafizah Mahri","doi":"10.1109/CSPA.2019.8695982","DOIUrl":"https://doi.org/10.1109/CSPA.2019.8695982","url":null,"abstract":"In automatic electrocardiogram (ECG) signal analysis, the QRS onset must be identified prior to QT interval or QRS duration measurements. These measurements are decisive ECG parameters for diagnosing cardiac abnormalities among cardiologists. Hence, the efficiency of the developed automatic algorithm to detect the QRS onset is essential to obtain an accurate result of the ECG parameters. In this report, an algorithm to detect the QRS onset based on secant line slope formula is proposed. The preprocessing and wave delineation process were implemented in MATLAB using modified Pan-Tompkins algorithm (an established adaptive threshold method). The window of the preceding Q-wave was determined before calculating the slope of secant line along the descending slope for QRS onset detection. The performance of the proposed algorithm was evaluated using 25 subjects from Pusat Perubatan Universiti Kebangsaan Malaysia (PPUKM) and volunteered participants under the approval of Research and Ethics Committee, PPUKM (Code of ethics approval: FF-2013-313). All data were acquired using biosignal amplifier (g.USBamp by g.tec, Austria) with 2 minutes duration of recording and sampled at 512 Hz. The efficiency of the proposed algorithm has obtained a sensitivity of 99.67%, positive predictivity of 99.39%, and accuracy of 99.07%. The result shows stable performance and insensitivity of the proposed algorithm towards ECG wave morphology changes.","PeriodicalId":400983,"journal":{"name":"2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116178203","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

Automated Detection of Exudates in Retinal Images 视网膜图像中渗出物的自动检测

2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2019-03-08 DOI: 10.1109/CSPA.2019.8696052

D. Lokuarachchi, K. Gunarathna, Lahiru Muthumal, Tharindu D. Gamage

{"title":"Automated Detection of Exudates in Retinal Images","authors":"D. Lokuarachchi, K. Gunarathna, Lahiru Muthumal, Tharindu D. Gamage","doi":"10.1109/CSPA.2019.8696052","DOIUrl":"https://doi.org/10.1109/CSPA.2019.8696052","url":null,"abstract":"Diabetic Retinopathy (DR) is a major cause of blindness which is caused by damage to the small blood vessels of the retina. Early detection of Diabetic Retinopathy is important to prevent vision loss. Main two stages of diabetic retinopathy are non-proliferative diabetic retinopathy (NPDR) and proliferative diabetic retinopathy (PDR). Microaneurysms, hemorrhages, cotton-wool spots and exudates are symptoms of non proliferative diabetic retinopathy which is the early stage of diabetic retinopathy. Of these symptoms exudates detection is more important for the early detection of diabetic retinopathy. In this paper, we are proposing a method for the automated detection of exudates by using retinal images. We show that different morphological operations could be incorporated in order to detect exudates quite accurately. In the process of exudates detection optic disk detection is an important part. Otherwise, optic disk could be wrongly identified as exudates. We have used different morphological operations for the exudates detection from the retinal images and the developed algorithm has a sensitivity and specificity 94.59% and 88.46% respectively. This is considerably a higher success rate with the existing systems.","PeriodicalId":400983,"journal":{"name":"2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126912062","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

Smart Manufacturing with An Artificial Neural Network to Predict Manufacturing Healthiness 基于人工神经网络的智能制造制造健康预测

2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2019-03-08 DOI: 10.1109/CSPA.2019.8695975

Eng Chai Ang, S. A. Suandi

{"title":"Smart Manufacturing with An Artificial Neural Network to Predict Manufacturing Healthiness","authors":"Eng Chai Ang, S. A. Suandi","doi":"10.1109/CSPA.2019.8695975","DOIUrl":"https://doi.org/10.1109/CSPA.2019.8695975","url":null,"abstract":"In this paper, Smart Manufacturing with an Artificial Neural Network (ANN) system is proposed to perform the prediction of the healthiness of the manufacturing line. There are three main stations in the manufacturing line in Season Malaysia Manufacturing (SMM); Surface Mount Technology, Manual Solder and Functional Testing. With the advancement of big data and artificial intelligence, it is worth to turn the production data into meaningful information to the manufacturer. Since these production data come from different resources, it is necessary to normalize the data so that they are consistent. The data collection was been conducted hourly so that the manufacturer could monitor the production healthiness hourly. The ANN is trained with a range of different configurations. The best ANN model is selected based on two main criteria; misclassification percentage and validation value. With the data available, the best ANN model was selected and incorporated into the design to develop the smart production healthiness monitoring system. The network evaluation shows 3.75% of misclassification and the mean square error (MSE) of 0.0875, in which the network response is satisfactory. The ANN system would certainly help the manufacturer to predict the healthiness of the manufacturing line and take-action on it timely. This will maximize the return on investment with lesser effort and higher productivity.","PeriodicalId":400983,"journal":{"name":"2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125505241","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

Subject-Independent Emotion Recognition During Music Listening Based on EEG Using Deep Convolutional Neural Networks 基于深度卷积神经网络的音乐听歌过程情绪识别

2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2019-03-08 DOI: 10.1109/CSPA.2019.8696054

Panayu Keelawat, Nattapong Thammasan, B. Kijsirikul, M. Numao

{"title":"Subject-Independent Emotion Recognition During Music Listening Based on EEG Using Deep Convolutional Neural Networks","authors":"Panayu Keelawat, Nattapong Thammasan, B. Kijsirikul, M. Numao","doi":"10.1109/CSPA.2019.8696054","DOIUrl":"https://doi.org/10.1109/CSPA.2019.8696054","url":null,"abstract":"Emotion recognition during music listening using electroencephalogram (EEG) has gained more attention from researchers, recently. Many studies focused on accuracy on one subject while subject-independent performance evaluation was still unclear. In this paper, the objective is to create an emotion recognition model that can be applied to multiple subjects. By adopting convolutional neural networks (CNNs), advantage could be gained from utilizing information from electrodes and time steps. Using CNNs also does not need feature extraction which might leave out other related but unobserved features. CNNs with three to seven convolutional layers were deployed in this research. We measured their performance with a binary classification task for compositions of emotions including arousal and valence. The results showed that our method captured EEG signal patterns from numerous subjects by 10-fold cross validation with 81.54% and 86.87% accuracy from arousal and valence respectively. The method also showed a higher capability of generalization to unseen subjects than the previous method as can be observed from the results of leave-one-subject-out validation.","PeriodicalId":400983,"journal":{"name":"2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117350098","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: 14

High Performance Flux Switching Machine using Segmented Rotor and PM Technology for In-Wheel Motorcycle and Scooter Applications 采用分段转子和PM技术的高性能磁通开关机，用于轮式摩托车和踏板车

2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2019-03-08 DOI: 10.1109/CSPA.2019.8696058

Enwelum I. Mbadiwe, Laili Iwani Jusoh, Syed Muhammad Naufal, E. Sulaiman

{"title":"High Performance Flux Switching Machine using Segmented Rotor and PM Technology for In-Wheel Motorcycle and Scooter Applications","authors":"Enwelum I. Mbadiwe, Laili Iwani Jusoh, Syed Muhammad Naufal, E. Sulaiman","doi":"10.1109/CSPA.2019.8696058","DOIUrl":"https://doi.org/10.1109/CSPA.2019.8696058","url":null,"abstract":"In this paper, a high torque flux switching motor using permanent magnet excitation flux and employing segmented rotor for in-wheel application is presented. The paper explains the choice of segmented rotor rather than conventional salient rotor pole. Flux switching machine (FSM) is an advance form of synchronous machine whose electrical frequency doubles the conventional synchronous machine, thus is suitable for speed application. A feasible combination of 24/10 stator-rotor configuration was designed using JMAG Designer tool solver version 14. The motor embraced radial permanent magnet pattern placed on stator tip alternately in opposite direction. Armature winding is alternately wound which segmented rotor permits using permanent magnet excitation flux for high flux linkage. Performance of proposed motor was compared with conventional permanent magnet synchronous motor whose torque and power output are 110Nm and 6000W whose construction lacked proper mechanical assembly to operate at high temperature condition, thus liable to low performance and breakdown. General analysis of the proposed segmented outer rotor in terms of flux linkage, cogging torque, induced emf and achieved high average torque of 212Nm with secured mechanical assembly higher than permanent magnet synchronous machine. Therefore, assessment of proposed motor is reliable for high torque suitable for electric motorcycle and scooter applications.","PeriodicalId":400983,"journal":{"name":"2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127438950","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

Modified Adaptive Bats Sonar Algorithm with Doppler Effect Mechanism for Solving Single Objective Unconstrained Optimization Problems 求解单目标无约束优化问题的改进多普勒效应蝙蝠自适应声纳算法

2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2019-03-08 DOI: 10.1109/CSPA.2019.8696057

N. Azlan, N. M. Yahya

引用次数: 5

Highly Sensitive SnO2-Reduced Graphene Oxide Hybrid Composites for Room Temperature Acetone Sensor 用于室温丙酮传感器的高灵敏度sno2 -还原氧化石墨烯复合材料

2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2019-03-08 DOI: 10.1109/CSPA.2019.8695987

L. Yan, Huzein Fahmi Hawari, Gunawan Witjaksono Bin Djaswadi

{"title":"Highly Sensitive SnO2-Reduced Graphene Oxide Hybrid Composites for Room Temperature Acetone Sensor","authors":"L. Yan, Huzein Fahmi Hawari, Gunawan Witjaksono Bin Djaswadi","doi":"10.1109/CSPA.2019.8695987","DOIUrl":"https://doi.org/10.1109/CSPA.2019.8695987","url":null,"abstract":"Human exhaled breath contains thousands of different volatile organic compounds (VOCs) derived from the body’s metabolic processes. Amount of acetone in human breath is an important biomarker for metabolic (diabetes) conditions in the bloodstream. Metal oxide semiconductor (MOX) is one of the archetypal sensing material for VOC. However, MOX sensors are perilous with notable disadvantages, such as low sensitivity and high operating temperature. This research work focuses on developing a new hybrid gas sensor based on metal oxide and reduced graphene oxide (rGO) by hydrothermal method at mild conditions. The performance of tin oxide-reduced graphene oxide (SnO2-rGO) composite towards acetone at room temperature has been evaluated. The hybrid sensor displays a good response (frequency shift: 1089 Hz) towards 10 ppm acetone, fast response time and recovery time of below 16 s, and regression R2 = 0.8647. This shows that the synergetic effect of rGO and SnO2 can be used as an effective acetone detector and, at the same time, offers a cost-effective alternative to bulkier systems for noninvasive diagnosis of diabetes.","PeriodicalId":400983,"journal":{"name":"2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124111920","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