Pub Date : 1900-01-01DOI: 10.1109/SPC.2013.6735140
A. H. Kassim, Z. Zain, R. A. Hadi, I. Ismail
This paper presents an energy performance and feasibility study of Thermal Energy Storage (TES) System compared with direct supply system of chilled water to an engineering complex in UiTM. In principle, TES system is a load management technology which shift load from peak to off-peak utility periods thus reduces maximum demand of electrical needs during the day and takes advantage of the low off peak tariff offered by the utility company (TNB). Data of a month's load profile was analysed and it was found that the TES system consumed more energy by 27% compared to the direct supply system of chilled water but its maximum demand reduced by 23%. The estimated cost (RM) per day was less by only 4%, under no energy loss, due to the introduction of thermal energy storage system compared with the direct system. Under the current electricity tariff, TES system in Malaysia is not feasible economically. However, if the maximum demand electrical tariff is revised the TES system can be attractive.
{"title":"Energy performance and feasibility study for Thermal Energy Storage (TES) System at engineering complex UiTM Shah Alam","authors":"A. H. Kassim, Z. Zain, R. A. Hadi, I. Ismail","doi":"10.1109/SPC.2013.6735140","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735140","url":null,"abstract":"This paper presents an energy performance and feasibility study of Thermal Energy Storage (TES) System compared with direct supply system of chilled water to an engineering complex in UiTM. In principle, TES system is a load management technology which shift load from peak to off-peak utility periods thus reduces maximum demand of electrical needs during the day and takes advantage of the low off peak tariff offered by the utility company (TNB). Data of a month's load profile was analysed and it was found that the TES system consumed more energy by 27% compared to the direct supply system of chilled water but its maximum demand reduced by 23%. The estimated cost (RM) per day was less by only 4%, under no energy loss, due to the introduction of thermal energy storage system compared with the direct system. Under the current electricity tariff, TES system in Malaysia is not feasible economically. However, if the maximum demand electrical tariff is revised the TES system can be attractive.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"247 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122535434","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 : 1900-01-01DOI: 10.1109/SPC.2013.6735132
A. H. Jahidin, Mohd Nasir Taib, N. Tahir, M. R. M. Ali, I. Yassin, S. Lias, R. M. Isa, W. Omar, N. Fuad
It has been a long debate on conventional psychometric test as benchmark of individual's intelligence quotient (IQ). However, recent studies in a variety of neurophysiological researches have been done to link intelligence with individual's brainwave pattern. Hence this paper proposes an intelligent approach to classify IQ via brainwave sub-band power ratio and artificial neural network (ANN). Fifty samples of electroencephalogram (EEG) dataset have been collected during IQ test session. Three IQ levels have been categorized based on the IQ scores from Raven's Progressive Matrices as the control group. Left hemispheric brainwave focusing on theta, alpha and beta sub-bands are the key discussion of this paper. The features are used as input to train the ANN. Formerly, synthetic data have also been generated with white Gaussian noise to increase the performance of the classifier. Subsequently, the network model have been developed using an ANN that is trained with optimized parameters which are learning rate, momentum constant and hidden neurons. The network model trained with back-propagation algorithm has yielded low mean squared error (MSE). Findings also indicate that the distinct intelligence quotient levels can be classified with 97.62% training and 94.44% testing accuracies via brainwave sub-band power ratio.
{"title":"Classification of intelligence quotient using EEG sub-band power ratio and ANN during mental task","authors":"A. H. Jahidin, Mohd Nasir Taib, N. Tahir, M. R. M. Ali, I. Yassin, S. Lias, R. M. Isa, W. Omar, N. Fuad","doi":"10.1109/SPC.2013.6735132","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735132","url":null,"abstract":"It has been a long debate on conventional psychometric test as benchmark of individual's intelligence quotient (IQ). However, recent studies in a variety of neurophysiological researches have been done to link intelligence with individual's brainwave pattern. Hence this paper proposes an intelligent approach to classify IQ via brainwave sub-band power ratio and artificial neural network (ANN). Fifty samples of electroencephalogram (EEG) dataset have been collected during IQ test session. Three IQ levels have been categorized based on the IQ scores from Raven's Progressive Matrices as the control group. Left hemispheric brainwave focusing on theta, alpha and beta sub-bands are the key discussion of this paper. The features are used as input to train the ANN. Formerly, synthetic data have also been generated with white Gaussian noise to increase the performance of the classifier. Subsequently, the network model have been developed using an ANN that is trained with optimized parameters which are learning rate, momentum constant and hidden neurons. The network model trained with back-propagation algorithm has yielded low mean squared error (MSE). Findings also indicate that the distinct intelligence quotient levels can be classified with 97.62% training and 94.44% testing accuracies via brainwave sub-band power ratio.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127463311","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 : 1900-01-01DOI: 10.1109/SPC.2013.6735120
R. Yunos, Siti Arpah Ahmad, N. M. Noor, R. M. Saidi, Zarina Zainol
Voice over internet protocols (VoIP)'s quality communication relies significantly on the network; however guarantee the best quality of the traffic is difficult. This paper analyzes the performance of VoIP traffic in Border Gateway Protocol (BGP) -Multiprotocol Label Switching (MPLS) IP Virtual Private Network (VPN) between two interior routing protocols namely Enhanced Interior Gateway Protocol (EIGRP) and Open Shortest Path First (OSPF). The combination of MPLS and conventional routing improve the forwarding mechanism, scalability and overall network performance. OPNET Modeler 14.5 is used to simulate both scenarios and metrics such as delay, jitter and mean opinion score (MOS) value are measured. The simulation result shows OSPF and BGP-MPLS VPN provides better infrastructure for VoIP VPN application.
{"title":"Analysis of routing protocols of VoIP VPN over MPLS network","authors":"R. Yunos, Siti Arpah Ahmad, N. M. Noor, R. M. Saidi, Zarina Zainol","doi":"10.1109/SPC.2013.6735120","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735120","url":null,"abstract":"Voice over internet protocols (VoIP)'s quality communication relies significantly on the network; however guarantee the best quality of the traffic is difficult. This paper analyzes the performance of VoIP traffic in Border Gateway Protocol (BGP) -Multiprotocol Label Switching (MPLS) IP Virtual Private Network (VPN) between two interior routing protocols namely Enhanced Interior Gateway Protocol (EIGRP) and Open Shortest Path First (OSPF). The combination of MPLS and conventional routing improve the forwarding mechanism, scalability and overall network performance. OPNET Modeler 14.5 is used to simulate both scenarios and metrics such as delay, jitter and mean opinion score (MOS) value are measured. The simulation result shows OSPF and BGP-MPLS VPN provides better infrastructure for VoIP VPN application.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122784871","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 : 1900-01-01DOI: 10.1109/SPC.2013.6735092
N. Ismail, M. Rahiman, M. Taib, N. A. Ali, M. Jamil, S. N. Tajuddin
This paper presents the application of k-Nearest Neighbor (k-NN) in grading the quality agarwood oil. Six agarwood oil samples obtained at Forest Research Institute Malaysia (FRIM) were extracted and their chemical compounds were examined by GC-MS. The work is followed by the grading system using the proposed k-NN. The study shows that there are 10 significant chemical compounds of agarwood oils. They are β-agarofuran, α-agarofuran, 10-epi-□-eudesmol, □-eudesmol, longifolol, oxo-agarospirol, hexadecanol and eudesmol. These compounds are used as inputs to the k-NN algorithm for grading them. The performance of the k-NN is measured and the highest accuracy obtained by k-NN which is above 83.3% shows that k-NN is a reliable classifier in grading the agarwood oil quality.
本文介绍了k-最近邻(k-NN)在沉香油质量分级中的应用。从马来西亚森林研究所(Forest Research Institute Malaysia, FRIM)提取了6份沉香精油样品，并用GC-MS对其化学成分进行了分析。接下来是使用所提出的k-NN的分级系统。研究表明沉香精油中含有10种重要的化合物。它们是β-琼脂呋喃、α-琼脂呋喃、10-环氧-□-琼脂酚、□-琼脂酚、长叶酚、氧-琼脂酚、十六烷醇和琼脂酚。这些化合物被用作k-NN算法的输入，用于对它们进行分级。对k-NN的性能进行了测试，k-NN的最高准确率达到83.3%以上，表明k-NN是一种可靠的沉香油质量分级器。
{"title":"The grading of agarwood oil quality using k-Nearest Neighbor (k-NN)","authors":"N. Ismail, M. Rahiman, M. Taib, N. A. Ali, M. Jamil, S. N. Tajuddin","doi":"10.1109/SPC.2013.6735092","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735092","url":null,"abstract":"This paper presents the application of k-Nearest Neighbor (k-NN) in grading the quality agarwood oil. Six agarwood oil samples obtained at Forest Research Institute Malaysia (FRIM) were extracted and their chemical compounds were examined by GC-MS. The work is followed by the grading system using the proposed k-NN. The study shows that there are 10 significant chemical compounds of agarwood oils. They are β-agarofuran, α-agarofuran, 10-epi-□-eudesmol, □-eudesmol, longifolol, oxo-agarospirol, hexadecanol and eudesmol. These compounds are used as inputs to the k-NN algorithm for grading them. The performance of the k-NN is measured and the highest accuracy obtained by k-NN which is above 83.3% shows that k-NN is a reliable classifier in grading the agarwood oil quality.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130908985","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 : 1900-01-01DOI: 10.1109/SPC.2013.6735148
Saiful Azhar, H. Johar, S. Baki, N. Md. Tahir
Water quality resembles physical, chemical and biology features of the water. Water quality level is used to determine the suitability and safeness for general usage. Hence in this study, fuzzy algorithms are developed to evaluate water quality based on three features namely power of hydrogen (pH), dissolved oxygen (DO) as well as temperature. Firstly, sensors of pH and DO are connected to stamp circuit that acted as universal asynchronous receiver / transmitter (UART) whilst temperature sensor is connected to a microcontroller. Next, fuzzy algorithms are developed based on water quality standards from the Department of Environmental Malaysia for decision making. Thus, both hardware and software are integrated and initial findings showed that the proposed system is apt for monitoring of water quality.
{"title":"Optimization of water quality monitoring based on fuzzy algorithms","authors":"Saiful Azhar, H. Johar, S. Baki, N. Md. Tahir","doi":"10.1109/SPC.2013.6735148","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735148","url":null,"abstract":"Water quality resembles physical, chemical and biology features of the water. Water quality level is used to determine the suitability and safeness for general usage. Hence in this study, fuzzy algorithms are developed to evaluate water quality based on three features namely power of hydrogen (pH), dissolved oxygen (DO) as well as temperature. Firstly, sensors of pH and DO are connected to stamp circuit that acted as universal asynchronous receiver / transmitter (UART) whilst temperature sensor is connected to a microcontroller. Next, fuzzy algorithms are developed based on water quality standards from the Department of Environmental Malaysia for decision making. Thus, both hardware and software are integrated and initial findings showed that the proposed system is apt for monitoring of water quality.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132891726","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 : 1900-01-01DOI: 10.1109/SPC.2013.6735147
Mohd Amin Mansor, S. Baki, N. Tahir, R. A. Rahman
This study describes a method to identify slaughtered poultry based on Islamic way. This is done based on evaluation the meat color in order to determine if the poultry is slaughtered based on Islamic way or vice versa. Firstly, the intensity color level that represented the chest meat of the poultry is determined under controlled illumination and camera positioning. Next, LUV color space is used to determine the color tone of the pixel based on mean shift method. Initial results showed that the proposed method that based on mean shift segmentation proven that Halal flesh images owned extremely high value of U component as compared to Non-halal flesh. Thus the proposed method is capable to identify poultry slaughtered using Islamic Law or otherwise.
{"title":"An approach of halal poultry meat comparison based on mean-shift segmentation","authors":"Mohd Amin Mansor, S. Baki, N. Tahir, R. A. Rahman","doi":"10.1109/SPC.2013.6735147","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735147","url":null,"abstract":"This study describes a method to identify slaughtered poultry based on Islamic way. This is done based on evaluation the meat color in order to determine if the poultry is slaughtered based on Islamic way or vice versa. Firstly, the intensity color level that represented the chest meat of the poultry is determined under controlled illumination and camera positioning. Next, LUV color space is used to determine the color tone of the pixel based on mean shift method. Initial results showed that the proposed method that based on mean shift segmentation proven that Halal flesh images owned extremely high value of U component as compared to Non-halal flesh. Thus the proposed method is capable to identify poultry slaughtered using Islamic Law or otherwise.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"332 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115941223","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 : 1900-01-01DOI: 10.1109/SPC.2013.6735134
H. Johar, S. Baki, Siti Hazurah Indera Putra, N. Md. Tahir
This paper investigates electrical response of fish flesh using a new design of slender steel indicator acted as probe in determining dielectric properties over a frequency range from 10Hz to 100Hz. At present, most of dielectric measurement technique uses electrode contact to under test sample, biological specimen but these techniques mostly are not suitable for living specimen. Therefore, in this research, a slender metal that resembles a pointer is designed and applied to analyse the electrical response of fish flesh dielectric properties for indicator of toxicity level in the fish body. Initial findings proven that proposed technique is feasible to be implemented.
{"title":"Fish flesh dielectric performance for toxicity detection","authors":"H. Johar, S. Baki, Siti Hazurah Indera Putra, N. Md. Tahir","doi":"10.1109/SPC.2013.6735134","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735134","url":null,"abstract":"This paper investigates electrical response of fish flesh using a new design of slender steel indicator acted as probe in determining dielectric properties over a frequency range from 10Hz to 100Hz. At present, most of dielectric measurement technique uses electrode contact to under test sample, biological specimen but these techniques mostly are not suitable for living specimen. Therefore, in this research, a slender metal that resembles a pointer is designed and applied to analyse the electrical response of fish flesh dielectric properties for indicator of toxicity level in the fish body. Initial findings proven that proposed technique is feasible to be implemented.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128218103","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 : 1900-01-01DOI: 10.1109/SPC.2013.6735118
S. Kanoga, Y. Mitsukura
This paper aims to construct the interest prediction models for nursery school child using a single-channel electroencephalograph (EEG). Recently, the number of dual income households who leave their children in nursery schools have been increasing in Japan. Such parents are not able to grasp their children's behavior in daily life. Considering these issues, the researches related to child behavioral analysis have been proceeded by using image data taken from digital cameras. However, it is difficult to acquire the behavioral information from the digital cameras at anytime, anywhere. Therefore, we are focusing on wearable systems for keeping an eye on a child. Specifically, we adopt the EEG to design the constructing system. In this paper, we acquire single-channel EEG recordings from nursery school children when they watch picture-story shows. Furthermore, we apply a non-negative matrix factorization (NMF) to artifactitious rejection and a genetic algorithm-partial least squares (GA-PLS) regression to detect important frequency components and design the interest prediction models for the child using a single-channel EEG. As a result, we showed that over 60% estimation accuracy could be obtained all except one subject and the specific combinations of the frequency components selected by the GA-PLS, and we also could confirm that the NMF could remove the eye blink artifacts.
{"title":"Construction of the interest prediction models for nursery school child using a single-channel electroencephalograph","authors":"S. Kanoga, Y. Mitsukura","doi":"10.1109/SPC.2013.6735118","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735118","url":null,"abstract":"This paper aims to construct the interest prediction models for nursery school child using a single-channel electroencephalograph (EEG). Recently, the number of dual income households who leave their children in nursery schools have been increasing in Japan. Such parents are not able to grasp their children's behavior in daily life. Considering these issues, the researches related to child behavioral analysis have been proceeded by using image data taken from digital cameras. However, it is difficult to acquire the behavioral information from the digital cameras at anytime, anywhere. Therefore, we are focusing on wearable systems for keeping an eye on a child. Specifically, we adopt the EEG to design the constructing system. In this paper, we acquire single-channel EEG recordings from nursery school children when they watch picture-story shows. Furthermore, we apply a non-negative matrix factorization (NMF) to artifactitious rejection and a genetic algorithm-partial least squares (GA-PLS) regression to detect important frequency components and design the interest prediction models for the child using a single-channel EEG. As a result, we showed that over 60% estimation accuracy could be obtained all except one subject and the specific combinations of the frequency components selected by the GA-PLS, and we also could confirm that the NMF could remove the eye blink artifacts.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115209117","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 : 1900-01-01DOI: 10.1109/SPC.2013.6735127
Ros Surya Taher, N. Jamil, Sharifalillah Nordin, Fakhrul Hazman Yusof, Umikalsum Mohamed Bahari
This paper presents the enhancement of poor electrophoresis gel image for lane and band detection. In plants, the DNA gel electrophoresis was performed for analytical purposes to identify the banding patterns of DNA base pair, which can reveal the genetic relatedness, identify the plants genomic and many more. Due to the quality and pattern of the images, the lane and band detection in the DNA gel images present a great challenge to computer interpretation. The image enhancement is performed using two different filters that are spatial and frequency filter. The two approaches are compared, which the expectation from the enhanced image is the detection of lanes can be conducted properly and accurately before performing further analysis to detect the bands. Forty-six of poor quality plant DNA gel images in .jpeg format with different size were used in this study. The quality of the enhanced images was accessed and evaluated using objective image quality metric, the peak signal-to-noise ratio (PSNR). The results that were obtained show that spatial domain filtering is a promising approach in the enhancement process of the poor DNA gel images.
{"title":"Poor DNA gel electrophoresis image enhancement: Spatial vs. frequency domain filters","authors":"Ros Surya Taher, N. Jamil, Sharifalillah Nordin, Fakhrul Hazman Yusof, Umikalsum Mohamed Bahari","doi":"10.1109/SPC.2013.6735127","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735127","url":null,"abstract":"This paper presents the enhancement of poor electrophoresis gel image for lane and band detection. In plants, the DNA gel electrophoresis was performed for analytical purposes to identify the banding patterns of DNA base pair, which can reveal the genetic relatedness, identify the plants genomic and many more. Due to the quality and pattern of the images, the lane and band detection in the DNA gel images present a great challenge to computer interpretation. The image enhancement is performed using two different filters that are spatial and frequency filter. The two approaches are compared, which the expectation from the enhanced image is the detection of lanes can be conducted properly and accurately before performing further analysis to detect the bands. Forty-six of poor quality plant DNA gel images in .jpeg format with different size were used in this study. The quality of the enhanced images was accessed and evaluated using objective image quality metric, the peak signal-to-noise ratio (PSNR). The results that were obtained show that spatial domain filtering is a promising approach in the enhancement process of the poor DNA gel images.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127314235","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 : 1900-01-01DOI: 10.1109/SPC.2013.6735123
M. Ariff, I. Ismail
These days livestock farming can contributes to the huge profit income to the farmers. The main element must be considered in order to ensure the animal is in good condition is by monitoring the health status. The health data collections in the field such as core body temperature, heart rate, medications, call for fast and accurated method, which allows repeated measurement through time. One of the popular technique for measuring the spatial distribution and temporal variation of livestock health data content is by using Android Smartphone. In this paper we present the development project called Livestock Information System (LIS) on Android Smartphone to access continuously the animal state of health data. This project use Android operating system where equipped with Bluetooth technology where it will communicate and process the wearable health sensors reading and display the exact temperature and heart rate of the livestock. In order to gather statistical data from mobile based to PC via Web services, Google Cloud Storage enable this interaction. This device is reliable and accurate in determining the livestock health status.
如今，畜牧业可以为农民带来巨大的利润收入。为了确保动物处于良好状态，必须考虑的主要因素是监测动物的健康状况。核心体温、心率、药物等领域的健康数据采集需要快速、准确的方法，可以随时间重复测量。利用Android智能手机测量家畜健康数据含量的时空分布是目前比较流行的技术之一。本文提出了基于Android智能手机的牲畜信息系统(Livestock Information System, LIS)的开发项目，以实现对动物健康状况数据的连续访问。本项目采用Android操作系统，并配备蓝牙技术，通过蓝牙技术与可穿戴健康传感器进行通信和处理，读取并显示牲畜的准确温度和心率。为了通过Web服务从基于移动设备到PC收集统计数据，谷歌云存储支持这种交互。该装置在测定家畜健康状况方面可靠、准确。
{"title":"Livestock information system using Android Smartphone","authors":"M. Ariff, I. Ismail","doi":"10.1109/SPC.2013.6735123","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735123","url":null,"abstract":"These days livestock farming can contributes to the huge profit income to the farmers. The main element must be considered in order to ensure the animal is in good condition is by monitoring the health status. The health data collections in the field such as core body temperature, heart rate, medications, call for fast and accurated method, which allows repeated measurement through time. One of the popular technique for measuring the spatial distribution and temporal variation of livestock health data content is by using Android Smartphone. In this paper we present the development project called Livestock Information System (LIS) on Android Smartphone to access continuously the animal state of health data. This project use Android operating system where equipped with Bluetooth technology where it will communicate and process the wearable health sensors reading and display the exact temperature and heart rate of the livestock. In order to gather statistical data from mobile based to PC via Web services, Google Cloud Storage enable this interaction. This device is reliable and accurate in determining the livestock health status.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130925364","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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