Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759925
Abdul Rauf Abdul Rasam, Abdul Malek Mohd Noor, N. Ahmad, R. Ghazali
Malaysian Geographical or Geospatial Health (MyGeoHealth) is a term used to describe innovative method for monitoring environmental risk factors on human health. There are possible spatial relationship between environment and cholera outbreaks in Tawau, Sabah due to the recent outbreaks are hard to predict. Cholera is a diarrhoeal disease caused by Vibrio cholerae (Vc), which occurs naturally in coastal phytoplankton (Chl-a) related with sea surface temperature (SST), shellfish and man. This study adapts the MyGeoHealth by emphasizing the potential of geographical information system (GIS), satellite remote sensing (RS) and global positioning system (GPS) to develop an introduced cholera transmission risk system in Tawau, Sabah. Spatio-temporal pattern and effect of SST, Chl-a, and cholera cases were determined using integrated geospatial technologies (GIS, RS and GPS), statistics and epidemiological approaches. Although the results of the effect were only statistically minimum correlation, the disease could outbreak at anywhere and anytime particularly at high population, unhygienic environment, close to the contaminated water supply, and during the hot or the wet season. These spatial characteristics of outbreak could be used as a cholera transmission risk indicator and an efficient control plan in Sabah as required in the MyGeoHealth.
{"title":"MyGeoHealth: GIS-based cholera transmission risk system in Sabah, Malaysia","authors":"Abdul Rauf Abdul Rasam, Abdul Malek Mohd Noor, N. Ahmad, R. Ghazali","doi":"10.1109/CSPA.2011.5759925","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759925","url":null,"abstract":"Malaysian Geographical or Geospatial Health (MyGeoHealth) is a term used to describe innovative method for monitoring environmental risk factors on human health. There are possible spatial relationship between environment and cholera outbreaks in Tawau, Sabah due to the recent outbreaks are hard to predict. Cholera is a diarrhoeal disease caused by Vibrio cholerae (Vc), which occurs naturally in coastal phytoplankton (Chl-a) related with sea surface temperature (SST), shellfish and man. This study adapts the MyGeoHealth by emphasizing the potential of geographical information system (GIS), satellite remote sensing (RS) and global positioning system (GPS) to develop an introduced cholera transmission risk system in Tawau, Sabah. Spatio-temporal pattern and effect of SST, Chl-a, and cholera cases were determined using integrated geospatial technologies (GIS, RS and GPS), statistics and epidemiological approaches. Although the results of the effect were only statistically minimum correlation, the disease could outbreak at anywhere and anytime particularly at high population, unhygienic environment, close to the contaminated water supply, and during the hot or the wet season. These spatial characteristics of outbreak could be used as a cholera transmission risk indicator and an efficient control plan in Sabah as required in the MyGeoHealth.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126792668","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}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759846
S. H. Nor Farah, M. Y. Norfatimah, M. L. Siti Noor Hajjar
Mahseer being the most important freshwater fish that contributes to the major fisheries activity of the rivers in the world. In Malaysia, Mahseer is an important indigenous freshwater fish because of their market value. However, the number of this freshwater fish declining from day to day due to the human activity and environment destruction. In this study, mitochondrial DNA (mtDNA) which is cytochrome b gene was used to examine the genetic variation between four populations of Mahseer Tor spp. In total, forty-four individuals Mahseer were sampled from kelah sanctuary (n=22), Keniam River (n=1), Sat River (n=7) and Sepia River (n= 14) at Pahang National Park. Neighbor-joining as well as maximum-parsimony methods were used to analyze the phylogenetic relationships between Mahseer tor spp. The continuation of study based on the findings should be taken in order to start proper management as well as conservation of this valuable fish.
{"title":"Genetic variation of Mahseer Tor spp. in Pahang National Park using cytochrome b mtDNA gene based on phylogenetic analysis - a research framework","authors":"S. H. Nor Farah, M. Y. Norfatimah, M. L. Siti Noor Hajjar","doi":"10.1109/CSPA.2011.5759846","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759846","url":null,"abstract":"Mahseer being the most important freshwater fish that contributes to the major fisheries activity of the rivers in the world. In Malaysia, Mahseer is an important indigenous freshwater fish because of their market value. However, the number of this freshwater fish declining from day to day due to the human activity and environment destruction. In this study, mitochondrial DNA (mtDNA) which is cytochrome b gene was used to examine the genetic variation between four populations of Mahseer Tor spp. In total, forty-four individuals Mahseer were sampled from kelah sanctuary (n=22), Keniam River (n=1), Sat River (n=7) and Sepia River (n= 14) at Pahang National Park. Neighbor-joining as well as maximum-parsimony methods were used to analyze the phylogenetic relationships between Mahseer tor spp. The continuation of study based on the findings should be taken in order to start proper management as well as conservation of this valuable fish.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128225389","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}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759923
M. Rozali, I. Yassin, A. Zabidi, W. Mansor, N. Tahir
This paper describes an application of the Orthogonal Least Squares (OLS) algorithm for feature selection of spoken letters. Traditionally used for system identification purposes, the OLS method was used to select important Mel-Frequency Cepstrum Coefficients (MFCC) for classification of two spoken letters - ‘A’ and ‘S’ using Multi-Layer Perceptron (MLP) neural network. We evaluated several network structures and parameters to determine the best performance in terms of accuracy and speed. The result found that OLS is an effective feature selection method, with the best classification performance of 85% with 6 hidden units.
{"title":"Application of Orthogonal Least Square (OLS) for selection of Mel Frequency Cepstrum Coefficients for classification of spoken letters using MLP classifier","authors":"M. Rozali, I. Yassin, A. Zabidi, W. Mansor, N. Tahir","doi":"10.1109/CSPA.2011.5759923","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759923","url":null,"abstract":"This paper describes an application of the Orthogonal Least Squares (OLS) algorithm for feature selection of spoken letters. Traditionally used for system identification purposes, the OLS method was used to select important Mel-Frequency Cepstrum Coefficients (MFCC) for classification of two spoken letters - ‘A’ and ‘S’ using Multi-Layer Perceptron (MLP) neural network. We evaluated several network structures and parameters to determine the best performance in terms of accuracy and speed. The result found that OLS is an effective feature selection method, with the best classification performance of 85% with 6 hidden units.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125675836","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}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759834
S. Shahidan, N. Nor, N. M. Bunnori
This paper is present a review on the evaluation of concrete structure damage by utilizing the moment tensor analysis (MTA) of acoustic emission (AE) source technique. In general moment tensor analysis is concerning the quantitative information on kinematics of cracks according to the AE source. This concept of AE analysis has been developed and mostly applied in reinforced concrete structure. Furthermore, the formulation of the evaluation of MTA is divided to a three different parts which are; namely kinematics crack, crack classification and crack volume. All these kinds of formulation have been established and proved by the previous researches. This paper also provides a brief overview of research work and several research papers on these topics were cited. Finally, this paper concluded with a discussion for future research area.
{"title":"Overview of moment tensor analysis of acoustic emission signal in evaluation concrete structure","authors":"S. Shahidan, N. Nor, N. M. Bunnori","doi":"10.1109/CSPA.2011.5759834","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759834","url":null,"abstract":"This paper is present a review on the evaluation of concrete structure damage by utilizing the moment tensor analysis (MTA) of acoustic emission (AE) source technique. In general moment tensor analysis is concerning the quantitative information on kinematics of cracks according to the AE source. This concept of AE analysis has been developed and mostly applied in reinforced concrete structure. Furthermore, the formulation of the evaluation of MTA is divided to a three different parts which are; namely kinematics crack, crack classification and crack volume. All these kinds of formulation have been established and proved by the previous researches. This paper also provides a brief overview of research work and several research papers on these topics were cited. Finally, this paper concluded with a discussion for future research area.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129330627","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}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759919
D. A. Awang Iskandar, R. Baini, A. Y. Wee, Shapiee Abdul Rahman, A. H. Fauzi
Pepper is a key export of the state of Sarawak (Malaysian Borneo); it produces 98% of Malaysia's pepper. At present, processed pepper berries are graded manually. This process is time consuming and error prone as it is very much dependent on the experience of the pepper grader. To overcome these weaknesses, we propose a Pepper Grading System which employs image processing and machine learning approaches using image features and moisture content data of the pepper berries. For instance, from initial tests, a high correlation between the grade of pepper berries to the colour features has been detected. Using existing machine learning algorithms in WEKA, we have obtained a 100% accuracy in categorising the pepper berries into the correct grades. In addition, moisture content and colourometer readings provide another 2 other parameters which may complement the image features in accurately classifying the berries into the right grades.
{"title":"iPepper: Intelligent pepper grading and quality assurance system","authors":"D. A. Awang Iskandar, R. Baini, A. Y. Wee, Shapiee Abdul Rahman, A. H. Fauzi","doi":"10.1109/CSPA.2011.5759919","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759919","url":null,"abstract":"Pepper is a key export of the state of Sarawak (Malaysian Borneo); it produces 98% of Malaysia's pepper. At present, processed pepper berries are graded manually. This process is time consuming and error prone as it is very much dependent on the experience of the pepper grader. To overcome these weaknesses, we propose a Pepper Grading System which employs image processing and machine learning approaches using image features and moisture content data of the pepper berries. For instance, from initial tests, a high correlation between the grade of pepper berries to the colour features has been detected. Using existing machine learning algorithms in WEKA, we have obtained a 100% accuracy in categorising the pepper berries into the correct grades. In addition, moisture content and colourometer readings provide another 2 other parameters which may complement the image features in accurately classifying the berries into the right grades.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132786898","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}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759914
P. Karthikeyan, M. Murugappan, S. Yaacob
Assessing human stress in real-time is more difficult and challenging today. The present review deals about the measurement of stress in laboratory environment using different stress inducement stimuli by the help of physiological signals. Previous researchers have been used different stress inducement stimuli such as stroop colour word test (CWT), mental arithmetic test, public speaking task, cold pressor test, computer games and works used to induce the stress. Most of the researchers have been analyzed stress using questionnaire based approach and physiological signals. The several physiological signals like Electrocardiogram (ECG), Electromyogram (EMG), Galvanic Skin Response (GSR), Blood Pressure (BP), Skin Temperature (ST), Blood Volume Pulse (BVP), respiration rate (RIP) and Electroencephalogram (EEG) were briefly investigated to identify the stress. Different statistical methods like Analysis of variance (ANOVA), two-way ANOVA, Multivariate analysis of variance (MANOVA), t-test, paired t-tests and student t-tests have used to describe the correlation between stress inducement stimuli, subjective parameters (age, gender and etc.,) and physiological signals. This present works aims to find the most appropriate stress inducement stimuli, physiological signals and statistical method to efficiently asses the human stress.
{"title":"A review on stress inducement stimuli for assessing human stress using physiological signals","authors":"P. Karthikeyan, M. Murugappan, S. Yaacob","doi":"10.1109/CSPA.2011.5759914","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759914","url":null,"abstract":"Assessing human stress in real-time is more difficult and challenging today. The present review deals about the measurement of stress in laboratory environment using different stress inducement stimuli by the help of physiological signals. Previous researchers have been used different stress inducement stimuli such as stroop colour word test (CWT), mental arithmetic test, public speaking task, cold pressor test, computer games and works used to induce the stress. Most of the researchers have been analyzed stress using questionnaire based approach and physiological signals. The several physiological signals like Electrocardiogram (ECG), Electromyogram (EMG), Galvanic Skin Response (GSR), Blood Pressure (BP), Skin Temperature (ST), Blood Volume Pulse (BVP), respiration rate (RIP) and Electroencephalogram (EEG) were briefly investigated to identify the stress. Different statistical methods like Analysis of variance (ANOVA), two-way ANOVA, Multivariate analysis of variance (MANOVA), t-test, paired t-tests and student t-tests have used to describe the correlation between stress inducement stimuli, subjective parameters (age, gender and etc.,) and physiological signals. This present works aims to find the most appropriate stress inducement stimuli, physiological signals and statistical method to efficiently asses the human stress.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130082340","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}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759867
I. Kartika, S. Mohamed
Background subtraction is a process of separating moving foreground objects from the non-moving background. This technique must adapt to the illumination, motion and the geometry background changes such as shadow, reflections, and etc. In this paper, one of the traditional background subtraction techniques which is frame differencing (FD) is conducted to detect the moving object in outdoor environment. The result of moving object detection using FD is not perfect that enable this research to experimental two existing post-processing techniques which are adaptive threshold and shadow detection in HSV color space for outdoor environment. Experimental result showed that FD with post-processing techniques are able to detect good moving object in outdoor environment with no shadow based on accuracy improvement data.
{"title":"Frame differencing with post-processing techniques for moving object detection in outdoor environment","authors":"I. Kartika, S. Mohamed","doi":"10.1109/CSPA.2011.5759867","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759867","url":null,"abstract":"Background subtraction is a process of separating moving foreground objects from the non-moving background. This technique must adapt to the illumination, motion and the geometry background changes such as shadow, reflections, and etc. In this paper, one of the traditional background subtraction techniques which is frame differencing (FD) is conducted to detect the moving object in outdoor environment. The result of moving object detection using FD is not perfect that enable this research to experimental two existing post-processing techniques which are adaptive threshold and shadow detection in HSV color space for outdoor environment. Experimental result showed that FD with post-processing techniques are able to detect good moving object in outdoor environment with no shadow based on accuracy improvement data.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127855739","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}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759909
R. Adnan, M. Tajjudin, N. Ishak, H. Ismail, Mohd Hezri Fazalul Rahiman
Hydraulic systems are widely used in industrial applications. This is due to its high speed of response with fast start, stop and speed reversal possible. The torque to inertia ratio is also large with resulting high acceleration capability. The nonlinear properties of hydraulic cylinder make the position tracking control design challenging. This paper presents the development and implementation of self-tuning fuzzy PID controller in controlling the position variation of electro-hydraulic actuator. The hydraulic system mathematical model is approximated using system identification technique. The simulation studies were done using Matlab Simulink environment. The output performance was compared with the design using pole-placement controller. The roots mean squared error for both techniques showed that self-tuning Fuzzy PID produced better result compared to using pole-placement controller.
{"title":"Self-tuning fuzzy PID controller for electro-hydraulic cylinder","authors":"R. Adnan, M. Tajjudin, N. Ishak, H. Ismail, Mohd Hezri Fazalul Rahiman","doi":"10.1109/CSPA.2011.5759909","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759909","url":null,"abstract":"Hydraulic systems are widely used in industrial applications. This is due to its high speed of response with fast start, stop and speed reversal possible. The torque to inertia ratio is also large with resulting high acceleration capability. The nonlinear properties of hydraulic cylinder make the position tracking control design challenging. This paper presents the development and implementation of self-tuning fuzzy PID controller in controlling the position variation of electro-hydraulic actuator. The hydraulic system mathematical model is approximated using system identification technique. The simulation studies were done using Matlab Simulink environment. The output performance was compared with the design using pole-placement controller. The roots mean squared error for both techniques showed that self-tuning Fuzzy PID produced better result compared to using pole-placement controller.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127933841","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}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759906
Farah Yasmin Abdul Rahman, A. Hussain, N. Md. Tahir, Mohd Hanif Mohd Saad
The emergence of various vision-based applications has led researchers to do research on human action recognition. Good feature extraction technique is one of the important factors in making an efficient action recognition system. In this work, we propose a technique which we called ‘pentagon profile’ to represent the image for the human action interpretation task. This profile is generated by connecting the points detected at the human head, hand and feet of a human silhouette image. These points when connected form a unique shape with five-sided polygons that prompt the name pentagon profile. Initial finding shows that this feature extraction technique gives promising result to represent the human activity especially in standing and squatting posture.
{"title":"Pentagon profile as image representation for human action interpretation task","authors":"Farah Yasmin Abdul Rahman, A. Hussain, N. Md. Tahir, Mohd Hanif Mohd Saad","doi":"10.1109/CSPA.2011.5759906","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759906","url":null,"abstract":"The emergence of various vision-based applications has led researchers to do research on human action recognition. Good feature extraction technique is one of the important factors in making an efficient action recognition system. In this work, we propose a technique which we called ‘pentagon profile’ to represent the image for the human action interpretation task. This profile is generated by connecting the points detected at the human head, hand and feet of a human silhouette image. These points when connected form a unique shape with five-sided polygons that prompt the name pentagon profile. Initial finding shows that this feature extraction technique gives promising result to represent the human activity especially in standing and squatting posture.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121093454","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}
Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759832
N. Nor, N. M. Bunnori, A. Ibrahim, S. Shahidan, S. N. M. Saliah
This paper is presented the observation of noise intervention into acoustic emission (AE) signal on reinforced concrete beam based on data recorded in the AEWin software at different pre-set thresholds manually. Two kinds of sources were selected; namely in-plane source and out-plane source. The correlation between threshold levels and number of hits has been observed. It can be concluded that for both AE sources in-plane and out of plane at the lower threshold level, huge hits were produced which including unwanted hits as well as noise. At high threshold level only required data / hits were recorded by AE signals, where the data presented owing to sudden release of stress from pencil lead fracture at selected source location. Thus, it produced lower correlation between threshold levels and a total number of hits recorded as the coefficient of determination for both sources is around 0.8 only and the graph produced is not linear.
{"title":"An observation of noise intervention into acoustic emission signal on concrete structure","authors":"N. Nor, N. M. Bunnori, A. Ibrahim, S. Shahidan, S. N. M. Saliah","doi":"10.1109/CSPA.2011.5759832","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759832","url":null,"abstract":"This paper is presented the observation of noise intervention into acoustic emission (AE) signal on reinforced concrete beam based on data recorded in the AEWin software at different pre-set thresholds manually. Two kinds of sources were selected; namely in-plane source and out-plane source. The correlation between threshold levels and number of hits has been observed. It can be concluded that for both AE sources in-plane and out of plane at the lower threshold level, huge hits were produced which including unwanted hits as well as noise. At high threshold level only required data / hits were recorded by AE signals, where the data presented owing to sudden release of stress from pencil lead fracture at selected source location. Thus, it produced lower correlation between threshold levels and a total number of hits recorded as the coefficient of determination for both sources is around 0.8 only and the graph produced is not linear.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126161080","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：