Pub Date : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893578
Phichaya Jaturawat, M. Phankokkruad
Face recognition is the biometric personal identification that gaining a lot of attention recently. This method has the ability to identify a person from still image and video by using human face. For the accurate recognition, algorithm and reference database needs to be concerned. However, in the practical system have many external factors that affect to the recognition accuracy differently for each algorithm. This is a challenge problem of class attendance recording system deployment, which has uncontrolled environments. This paper comparing three well known algorithm that are Eigenfaces, Fisherfaces, and LBPH by adopts our new database that contains a face of individuals with variety of pose and expression. The experiment of face recognition in video conducted by varied the external factors that are light exposure, noise, and the video resolution, in the possible range. The results showed LBPH got the highest accuracy in all experiments, but this algorithm has the higher impact of the negative light exposure and high noise level more than the others that are statistical approach.
{"title":"An evaluation of face recognition algorithms and accuracy based on video in unconstrained factors","authors":"Phichaya Jaturawat, M. Phankokkruad","doi":"10.1109/ICCSCE.2016.7893578","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893578","url":null,"abstract":"Face recognition is the biometric personal identification that gaining a lot of attention recently. This method has the ability to identify a person from still image and video by using human face. For the accurate recognition, algorithm and reference database needs to be concerned. However, in the practical system have many external factors that affect to the recognition accuracy differently for each algorithm. This is a challenge problem of class attendance recording system deployment, which has uncontrolled environments. This paper comparing three well known algorithm that are Eigenfaces, Fisherfaces, and LBPH by adopts our new database that contains a face of individuals with variety of pose and expression. The experiment of face recognition in video conducted by varied the external factors that are light exposure, noise, and the video resolution, in the possible range. The results showed LBPH got the highest accuracy in all experiments, but this algorithm has the higher impact of the negative light exposure and high noise level more than the others that are statistical approach.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"96 1","pages":"240-244"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87083699","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 : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893622
CO Manlises, JC Dela Cruz, Janette C. Fausto, Lma Muralla, Dmt Payas, Mjt Posada
Continuous blood pressure monitoring is an important procedure for checking the conditions of the elderly people, especially those who experience hypertension or hypotension. However, existing Blood Pressure measuring devices neither have a way to automatically indicate whether a Blood Pressure reading is either above or below the acceptable normal range, nor a way to provide “first aid” for it; nor activate an alerting device to the people who are directly caring for them. In this paper, the proponents developed a system, which uses Photoplethysmography to sense the pulse of a person, non-invasively and cufflessly, to derive the blood pressure reading. The indication of an occurrence of a high blood pressure or a low blood pressure is determined by an algorithm that may trigger the alerting mechanism of the system to activate a quick application of aromatherapy by inhalation (using essential oils) to the elder to make his/her blood pressure lower (when hypertension occurs) or vice versa.
{"title":"Monitoring of Blood Pressure Using Photoplethysmographic (PPG) Sensor with Aromatherapy Diffusion","authors":"CO Manlises, JC Dela Cruz, Janette C. Fausto, Lma Muralla, Dmt Payas, Mjt Posada","doi":"10.1109/ICCSCE.2016.7893622","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893622","url":null,"abstract":"Continuous blood pressure monitoring is an important procedure for checking the conditions of the elderly people, especially those who experience hypertension or hypotension. However, existing Blood Pressure measuring devices neither have a way to automatically indicate whether a Blood Pressure reading is either above or below the acceptable normal range, nor a way to provide “first aid” for it; nor activate an alerting device to the people who are directly caring for them. In this paper, the proponents developed a system, which uses Photoplethysmography to sense the pulse of a person, non-invasively and cufflessly, to derive the blood pressure reading. The indication of an occurrence of a high blood pressure or a low blood pressure is determined by an algorithm that may trigger the alerting mechanism of the system to activate a quick application of aromatherapy by inhalation (using essential oils) to the elder to make his/her blood pressure lower (when hypertension occurs) or vice versa.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"5 1","pages":"476-480"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80267163","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 : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893623
CO Manlises, A. Yumang, M. Marcelo, Ajb Adriano, Jrv Reyes
Visually impaired suffers from having a hard time to navigate to their destination with just the use of canes. Many researches have been created to provide the visually impaired the ability to navigate freely but they usually have comfortability problem as their system requires many devices to be worn. In this paper, the researchers provides a navigation system that allows the visually impaired to navigate indoor and get to their destination by only wearing a Bluetooth headset. The Bluetooth headset is used for two way communication between the visually impaired and the system. The system uses Continuously Adaptive Mean-Shift (CAMShift) algorithm to detect the visually impaired, obstacles and destination with image processing and D* algorithm to determine the shortest path required to get into the destination. The system also uses voice recognition for the input of the visually impaired. The system has been able to provide an effective and more comfortable way of navigation system for the visually impaired.
{"title":"Indoor navigation system based on computer vision using CAMShift and D* algorithm for visually impaired","authors":"CO Manlises, A. Yumang, M. Marcelo, Ajb Adriano, Jrv Reyes","doi":"10.1109/ICCSCE.2016.7893623","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893623","url":null,"abstract":"Visually impaired suffers from having a hard time to navigate to their destination with just the use of canes. Many researches have been created to provide the visually impaired the ability to navigate freely but they usually have comfortability problem as their system requires many devices to be worn. In this paper, the researchers provides a navigation system that allows the visually impaired to navigate indoor and get to their destination by only wearing a Bluetooth headset. The Bluetooth headset is used for two way communication between the visually impaired and the system. The system uses Continuously Adaptive Mean-Shift (CAMShift) algorithm to detect the visually impaired, obstacles and destination with image processing and D* algorithm to determine the shortest path required to get into the destination. The system also uses voice recognition for the input of the visually impaired. The system has been able to provide an effective and more comfortable way of navigation system for the visually impaired.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"2 1","pages":"481-484"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73626606","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 : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893610
Fatin Izzati Y. Nur, M. M. Ibrahim, N. A. Manap, S. A. Nur
Eye closure duration is one of the parameters that is regularly chosen in detecting the state of drowsiness of a person. In order to analyze the eye closure duration, a process involving eye state classification is done to classify whether the eye is in an open state or in a closed state. This paper introduces a new parameter which is the height of iris to classify the eye state and to analyze the eye closure duration. Face and eye detection is the first step and Viola-Jones algorithm is implemented in the procedure. Next, face and eye tracking is done by utilizing the Kanade Lucas Tomasi (KLT) algorithm which tracked the feature points. The extracted eye region is further used to localize the iris through image enhancement process. The most crucial step in eye closure duration is the eye state classification process. The eye state is classified based on the height of the iris that has been localized. The height of the iris is acquired from the bounding box drawn surrounding the area of the localized iris. Finally, after the state of an eye is classified successfully, the eye closure duration is analyzed through the plotted graph between the heights of the iris against a period of time. Furthermore, by evaluating the iris' height, the size of an eye for each subject is classified. The proposed algorithm is implemented on Zhejiang University (ZJU) database.
闭眼时间是检测一个人的困倦状态时经常选择的参数之一。为了分析闭眼持续时间，需要进行眼状态分类，对眼睛处于开闭状态进行分类。本文引入虹膜高度这一新的参数对人眼状态进行分类，并对闭眼时间进行分析。人脸和眼睛检测是第一步，过程中实现了Viola-Jones算法。接下来，利用Kanade Lucas Tomasi (KLT)算法对特征点进行人脸和眼动跟踪。提取的眼部区域通过图像增强处理进一步定位虹膜。闭眼时间最关键的一步是眼状态分类过程。眼睛的状态是根据虹膜的高度进行分类的。虹膜的高度由虹膜定位区域周围绘制的边界框获得。最后，在眼睛状态分类成功后，通过绘制虹膜高度与一段时间的关系图来分析闭眼持续时间。此外，通过评估虹膜的高度，对每个受试者的眼睛大小进行分类。该算法在浙江大学数据库上实现。
{"title":"Analysis of eye closure duration based on the height of iris","authors":"Fatin Izzati Y. Nur, M. M. Ibrahim, N. A. Manap, S. A. Nur","doi":"10.1109/ICCSCE.2016.7893610","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893610","url":null,"abstract":"Eye closure duration is one of the parameters that is regularly chosen in detecting the state of drowsiness of a person. In order to analyze the eye closure duration, a process involving eye state classification is done to classify whether the eye is in an open state or in a closed state. This paper introduces a new parameter which is the height of iris to classify the eye state and to analyze the eye closure duration. Face and eye detection is the first step and Viola-Jones algorithm is implemented in the procedure. Next, face and eye tracking is done by utilizing the Kanade Lucas Tomasi (KLT) algorithm which tracked the feature points. The extracted eye region is further used to localize the iris through image enhancement process. The most crucial step in eye closure duration is the eye state classification process. The eye state is classified based on the height of the iris that has been localized. The height of the iris is acquired from the bounding box drawn surrounding the area of the localized iris. Finally, after the state of an eye is classified successfully, the eye closure duration is analyzed through the plotted graph between the heights of the iris against a period of time. Furthermore, by evaluating the iris' height, the size of an eye for each subject is classified. The proposed algorithm is implemented on Zhejiang University (ZJU) database.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"85 1","pages":"419-424"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81226410","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 : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893562
Rozlini Mohamed, M. M. Yusof, Noorhaniza Wahid
Feature selection is a technique used to reduce irrelevant data and finding the most relevant features that would increase classification accuracy. It is widely used in various applications such as medical, agriculture and Information Technology. In producing better classification result, feature selection been applied in many of the classification works as part of preprocessing step; where only a subset of feature been used rather than the whole features from a particular dataset. This research is conducted with the intention to find the appropriate data types according to the percentage of attributes reduction and classification performance. During the experiments, the effectiveness of data handling for Bat algorithm is tested via type of data and size of attributes in generic dataset. 10 datasets from UCI repository from various applications are used. The selected features are selected using Bat algorithm and measured by three classifiers; k-Nearest Neighbor (kNN), Naïve Bayes (NB) and Decision Tree (DT). This paper then analyzes the performance of all classifiers with and without feature selection in term of accuracy, sensitivity, F-Measure and ROC. The research found that although the percentage of reduction is high, it produces lowest result in classification performance since the type of data and number of attribute are not appropriate.
{"title":"The effectiveness of Bat algorithm for data handling in various applications","authors":"Rozlini Mohamed, M. M. Yusof, Noorhaniza Wahid","doi":"10.1109/ICCSCE.2016.7893562","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893562","url":null,"abstract":"Feature selection is a technique used to reduce irrelevant data and finding the most relevant features that would increase classification accuracy. It is widely used in various applications such as medical, agriculture and Information Technology. In producing better classification result, feature selection been applied in many of the classification works as part of preprocessing step; where only a subset of feature been used rather than the whole features from a particular dataset. This research is conducted with the intention to find the appropriate data types according to the percentage of attributes reduction and classification performance. During the experiments, the effectiveness of data handling for Bat algorithm is tested via type of data and size of attributes in generic dataset. 10 datasets from UCI repository from various applications are used. The selected features are selected using Bat algorithm and measured by three classifiers; k-Nearest Neighbor (kNN), Naïve Bayes (NB) and Decision Tree (DT). This paper then analyzes the performance of all classifiers with and without feature selection in term of accuracy, sensitivity, F-Measure and ROC. The research found that although the percentage of reduction is high, it produces lowest result in classification performance since the type of data and number of attribute are not appropriate.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"8 1","pages":"151-156"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82464772","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 : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893635
Suryani Ilias, N. Tahir, R. Jailani
Recently, gait patterns of children with autism is of interest in the gait community in order to identify significant gait parameter namely the three dimensional (3D) gait features such as spatial temporal, kinematic and kinetic. This is because gait pattern provides clinicians and researchers in understanding the trajectory of gait development. Understanding the characteristics and identifying gait pattern is essential in order to distinguish normal as well as abnormal gait pattern. Hence the purpose of this review is to identify deviations gait in children with autism based on criteria specifically subject character; measurement, type of gait variables measured; method of classification and major findings. Several gait variables from different instrumentation for gait analysis is reviewed too. Development of gait patterns via assessing gait deviations in children with ASD could assist clinician and researchers to differentiate gait pattern abnormality in diagnosing, clinical decision-making and treatment planning as well.
{"title":"Development of three dimensional gait pattern in autism children - a review","authors":"Suryani Ilias, N. Tahir, R. Jailani","doi":"10.1109/ICCSCE.2016.7893635","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893635","url":null,"abstract":"Recently, gait patterns of children with autism is of interest in the gait community in order to identify significant gait parameter namely the three dimensional (3D) gait features such as spatial temporal, kinematic and kinetic. This is because gait pattern provides clinicians and researchers in understanding the trajectory of gait development. Understanding the characteristics and identifying gait pattern is essential in order to distinguish normal as well as abnormal gait pattern. Hence the purpose of this review is to identify deviations gait in children with autism based on criteria specifically subject character; measurement, type of gait variables measured; method of classification and major findings. Several gait variables from different instrumentation for gait analysis is reviewed too. Development of gait patterns via assessing gait deviations in children with ASD could assist clinician and researchers to differentiate gait pattern abnormality in diagnosing, clinical decision-making and treatment planning as well.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"161 1","pages":"540-545"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80838555","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 : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893640
A. Othman, N. Hamzah, Z. Hussain, R. Baharudin, A. D. Rosli, A. I. C. Ani
In this paper, an adjustable angle sensor based on rotary potentiometer for measuring and monitoring finger flexion is proposed. Most of the current system is unadjustable, inaccurate, costly and hard to calibrate. The proposed system in this study consists of a rotary potentiometers and adjustable case, which makes it adjustable, compact and lightweight with the ability to produce a better measurement result. As the rotary potentiometer rotated due to the motion of the finger, the joint angles are calculated by measuring the change in resistance of the rotary potentiometer. The proposed system can widely be applied for the angle measurement systems at small and complex structure surface such as finger joint, which require to measure finger flexion for developing related device such as robotic hand control system, virtual reality or teleoperation systems. The experiment study shows that the proposed system is adjustable and has better accuracy, small repeatability error and more reliable compared to the popular flex sensor.
{"title":"Design and development of an adjustable angle sensor based on rotary potentiometer for measuring finger flexion","authors":"A. Othman, N. Hamzah, Z. Hussain, R. Baharudin, A. D. Rosli, A. I. C. Ani","doi":"10.1109/ICCSCE.2016.7893640","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893640","url":null,"abstract":"In this paper, an adjustable angle sensor based on rotary potentiometer for measuring and monitoring finger flexion is proposed. Most of the current system is unadjustable, inaccurate, costly and hard to calibrate. The proposed system in this study consists of a rotary potentiometers and adjustable case, which makes it adjustable, compact and lightweight with the ability to produce a better measurement result. As the rotary potentiometer rotated due to the motion of the finger, the joint angles are calculated by measuring the change in resistance of the rotary potentiometer. The proposed system can widely be applied for the angle measurement systems at small and complex structure surface such as finger joint, which require to measure finger flexion for developing related device such as robotic hand control system, virtual reality or teleoperation systems. The experiment study shows that the proposed system is adjustable and has better accuracy, small repeatability error and more reliable compared to the popular flex sensor.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"10 1","pages":"569-574"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86580088","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 : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893545
N. Ya'acob, A. Zainudin, R. Magdugal, N. F. Naim
Spacecrafts experience numerous problems from encountering space environment such as radiation belts, solar flares and cosmic rays which are at the origin of space radioactive environment. In this paper, these radiations are investigated and analysed for the Low Earth Orbit (LEO) using Space Environment Information System (SPENVIS) and the results are then used to mitigate their effects on satellites. The radiations from Galactic Cosmic Rays (GCR's) and solar flares are composed of highly energetic particles originated from space and they are capable of damaging electronic systems severely. The charged particles from GCR and solar flares are trapped in the Earth's magnetosphere and form belts called Van Allen Belts. These radiations cause harmful effects such as Total Ionizing Doses (TID) and Single Event Upsets (SEU) to space craft components. TID is caused by the presence of electrons and SEU is created by the presence of protons in the atmosphere. TID affects almost every equipment of the satellites while SEU causes soft errors. These effects are really harmful and can even shorten the life span of satellites. Three satellites orbiting in LEO with different altitudes and inclinations are used to study the radiation effects.
{"title":"Mitigation of space radiation effects on satellites at Low Earth Orbit (LEO)","authors":"N. Ya'acob, A. Zainudin, R. Magdugal, N. F. Naim","doi":"10.1109/ICCSCE.2016.7893545","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893545","url":null,"abstract":"Spacecrafts experience numerous problems from encountering space environment such as radiation belts, solar flares and cosmic rays which are at the origin of space radioactive environment. In this paper, these radiations are investigated and analysed for the Low Earth Orbit (LEO) using Space Environment Information System (SPENVIS) and the results are then used to mitigate their effects on satellites. The radiations from Galactic Cosmic Rays (GCR's) and solar flares are composed of highly energetic particles originated from space and they are capable of damaging electronic systems severely. The charged particles from GCR and solar flares are trapped in the Earth's magnetosphere and form belts called Van Allen Belts. These radiations cause harmful effects such as Total Ionizing Doses (TID) and Single Event Upsets (SEU) to space craft components. TID is caused by the presence of electrons and SEU is created by the presence of protons in the atmosphere. TID affects almost every equipment of the satellites while SEU causes soft errors. These effects are really harmful and can even shorten the life span of satellites. Three satellites orbiting in LEO with different altitudes and inclinations are used to study the radiation effects.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"463 1","pages":"56-61"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86693775","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 : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893595
S. Nuchprayoon
This work applies a harmonics model to forecast a daily load curve on a monthly peak day. The harmonics model is applied to capture periodic pattern of daily load and to avoid relying on weather-sensitive parameters. The harmonics model is a function of a base load, an hourly load, and a Fourier series. The dataset was obtained from load research data over the year 2008–2012 from the Provincial Electricity Authority of Thailand. It was found that the fifth harmonic model is proper to forecast the load curves on the monthly peak day. The forecasts of different tariff schedules are performed to compare the load patterns of residential, commercial, and industrial customers.
{"title":"Forecasting of daily load curve on monthly peak day using load research data and harmonics model","authors":"S. Nuchprayoon","doi":"10.1109/ICCSCE.2016.7893595","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893595","url":null,"abstract":"This work applies a harmonics model to forecast a daily load curve on a monthly peak day. The harmonics model is applied to capture periodic pattern of daily load and to avoid relying on weather-sensitive parameters. The harmonics model is a function of a base load, an hourly load, and a Fourier series. The dataset was obtained from load research data over the year 2008–2012 from the Provincial Electricity Authority of Thailand. It was found that the fifth harmonic model is proper to forecast the load curves on the monthly peak day. The forecasts of different tariff schedules are performed to compare the load patterns of residential, commercial, and industrial customers.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"59 1","pages":"338-342"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91537597","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 : 2016-01-01DOI: 10.1109/ICCSCE.2016.7893633
Muhammad Sailuddin Darus, S. N. Sulaiman, I. Isa, Z. Hussain, N. Tahir, N. Isa
Random-valued impulse noise (RVIN) is a randomly distributed noise of two significant pixel values that degrades the quality of digital images during acquisition, processing, and storage. It is a variation of the salt-and-pepper or fixed-valued impulse noise (FIN) which instead of the black and white pixel, the noisy pixel value can be anywhere in the range of the grey level pixel. This paper introduces a new filter which is a modified hybrid median filter for removal of RVIN from digital images. The proposed filter is based on similar standard median filters and an improvement upon the hybrid median filter which make use of neighborhood pixels in reducing RVIN from the image. This filter operates using a window size of 3×3 and uses values in the window with a modified hybrid median algorithm to replace the targeted pixel during the filtering process. This technique has proven to be capable of overcoming the shortcomings of standard median filter as well as improve upon the hybrid median filter in restoring image details and in operating at higher noise density.
{"title":"Modified hybrid median filter for removal of low density random-valued impulse noise in images","authors":"Muhammad Sailuddin Darus, S. N. Sulaiman, I. Isa, Z. Hussain, N. Tahir, N. Isa","doi":"10.1109/ICCSCE.2016.7893633","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893633","url":null,"abstract":"Random-valued impulse noise (RVIN) is a randomly distributed noise of two significant pixel values that degrades the quality of digital images during acquisition, processing, and storage. It is a variation of the salt-and-pepper or fixed-valued impulse noise (FIN) which instead of the black and white pixel, the noisy pixel value can be anywhere in the range of the grey level pixel. This paper introduces a new filter which is a modified hybrid median filter for removal of RVIN from digital images. The proposed filter is based on similar standard median filters and an improvement upon the hybrid median filter which make use of neighborhood pixels in reducing RVIN from the image. This filter operates using a window size of 3×3 and uses values in the window with a modified hybrid median algorithm to replace the targeted pixel during the filtering process. This technique has proven to be capable of overcoming the shortcomings of standard median filter as well as improve upon the hybrid median filter in restoring image details and in operating at higher noise density.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"48 1","pages":"528-533"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89916339","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}
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