Pub Date : 2018-08-01DOI: 10.1109/ICSGRC.2018.8657579
Nurbaity Sabri, Mahfuzah Mukim, Z. Ibrahim, Noraini Hasan, Shafaf Ibrahim
In this modernized era, computer visualization is a powerful means to discover. It is used in translating from visual into digital information, analog to digital signal, and to name a few. A computer motherboard refers to a circuit board that holds the essential processing parts of a computer. Every part of the component has its own purpose, either to communicate with other component or to receive power. However, the components on a motherboard are difficult to detect due to the similarity and complexity of the design. Thus, a study of computer motherboard component recognition using a combination of texture and shape features is presented. The Gray Level Co-occurrence Matrices (GLCM) and Connected Region were implemented as the features extraction techniques. On the other hand, the classification is performed using a technique of Support Vector Machine (SVM). The computer motherboard components are classified into four components which are chipset, CPU socket, expansion slot, and memory slot. From the testing conducted, it is observed that 90% overall mean of recognition accuracy is achieved which proved that the proposed techniques are applicable for the computer motherboard component recognition.
{"title":"Computer Motherboard Component Recognition Using Texture and Shape Features","authors":"Nurbaity Sabri, Mahfuzah Mukim, Z. Ibrahim, Noraini Hasan, Shafaf Ibrahim","doi":"10.1109/ICSGRC.2018.8657579","DOIUrl":"https://doi.org/10.1109/ICSGRC.2018.8657579","url":null,"abstract":"In this modernized era, computer visualization is a powerful means to discover. It is used in translating from visual into digital information, analog to digital signal, and to name a few. A computer motherboard refers to a circuit board that holds the essential processing parts of a computer. Every part of the component has its own purpose, either to communicate with other component or to receive power. However, the components on a motherboard are difficult to detect due to the similarity and complexity of the design. Thus, a study of computer motherboard component recognition using a combination of texture and shape features is presented. The Gray Level Co-occurrence Matrices (GLCM) and Connected Region were implemented as the features extraction techniques. On the other hand, the classification is performed using a technique of Support Vector Machine (SVM). The computer motherboard components are classified into four components which are chipset, CPU socket, expansion slot, and memory slot. From the testing conducted, it is observed that 90% overall mean of recognition accuracy is achieved which proved that the proposed techniques are applicable for the computer motherboard component recognition.","PeriodicalId":147027,"journal":{"name":"2018 9th IEEE Control and System Graduate Research Colloquium (ICSGRC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130124076","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 : 2018-08-01DOI: 10.1109/ICSGRC.2018.8657536
Balqees Aldabaybah, S. Jusoh
Dyslexia is a common type of language disability which results in difficulty with reading, writing, spelling, word comprehension, math and communication, all skills which are necessary for understanding language. Assistive technology is seen as a great tool to build individual strength and improve academic achievements among dyslexia students. However, studies on designing and developing tools to support dyslexics in Arabic are very limited. The main issue in any kind of computer applications including an assistive technology is usability. The aim of this paper is to propose a set of required usability features for the Arabic assistive technology. The presented work consists of two steps. Step one identify the required features by conducting experiments on normal educational technologies and gain feedback from dyslexia students. Step two consider the development of a low-fidelity prototype and its evaluation. The experiments were conducted in two types of participants (dyslexics and normal students) to extract the usability features. Features extracted regards feedback, accessibility, navigation, representative icons and menus.
{"title":"Usability Features for Arabic Assistive Technology for Dyslexia","authors":"Balqees Aldabaybah, S. Jusoh","doi":"10.1109/ICSGRC.2018.8657536","DOIUrl":"https://doi.org/10.1109/ICSGRC.2018.8657536","url":null,"abstract":"Dyslexia is a common type of language disability which results in difficulty with reading, writing, spelling, word comprehension, math and communication, all skills which are necessary for understanding language. Assistive technology is seen as a great tool to build individual strength and improve academic achievements among dyslexia students. However, studies on designing and developing tools to support dyslexics in Arabic are very limited. The main issue in any kind of computer applications including an assistive technology is usability. The aim of this paper is to propose a set of required usability features for the Arabic assistive technology. The presented work consists of two steps. Step one identify the required features by conducting experiments on normal educational technologies and gain feedback from dyslexia students. Step two consider the development of a low-fidelity prototype and its evaluation. The experiments were conducted in two types of participants (dyslexics and normal students) to extract the usability features. Features extracted regards feedback, accessibility, navigation, representative icons and menus.","PeriodicalId":147027,"journal":{"name":"2018 9th IEEE Control and System Graduate Research Colloquium (ICSGRC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131328794","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 : 2018-08-01DOI: 10.1109/ICSGRC.2018.8657490
Shafaf Ibrahim, Nor Azrin Tarmizi, Nurbaity Sabri, Nur Farahin Mohd Johari, A. F. Ahmad Fadzil
Braille is a tactile that consists of dots which is used by visually impaired people in reading. Braille pattern of alphabet consists of its own pattern in which some of it does not even relate to the alphabet. Thus, it is difficult for normal people to detect and recognize the braille pattern. This paper presents a study of braille image recognition for beginners. The outcome of this study is expected to translate a braille image patterns into a readable alphabet text. A technique of Bag of Features (BOF) is proposed for the recognition of the braille image. On the other hand, the image classification is done using a Support Vector Machine (SVM) technique. Seventy-eight of braille images is tested. From the testing performed, it is found that 97.44% of correct recognition accuracy is achieved which revealed that the proposed techniques are applicable for braille image recognition.
{"title":"Braille Image Recognition for Beginners","authors":"Shafaf Ibrahim, Nor Azrin Tarmizi, Nurbaity Sabri, Nur Farahin Mohd Johari, A. F. Ahmad Fadzil","doi":"10.1109/ICSGRC.2018.8657490","DOIUrl":"https://doi.org/10.1109/ICSGRC.2018.8657490","url":null,"abstract":"Braille is a tactile that consists of dots which is used by visually impaired people in reading. Braille pattern of alphabet consists of its own pattern in which some of it does not even relate to the alphabet. Thus, it is difficult for normal people to detect and recognize the braille pattern. This paper presents a study of braille image recognition for beginners. The outcome of this study is expected to translate a braille image patterns into a readable alphabet text. A technique of Bag of Features (BOF) is proposed for the recognition of the braille image. On the other hand, the image classification is done using a Support Vector Machine (SVM) technique. Seventy-eight of braille images is tested. From the testing performed, it is found that 97.44% of correct recognition accuracy is achieved which revealed that the proposed techniques are applicable for braille image recognition.","PeriodicalId":147027,"journal":{"name":"2018 9th IEEE Control and System Graduate Research Colloquium (ICSGRC)","volume":"348 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134371706","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 : 2018-08-01DOI: 10.1109/ICSGRC.2018.8657500
M. Mohamad, Mohd Yusdee Yusoff, S. S. Sarnin, N. F. Naim
Base station network infrastructure cost continues to be among the biggest CAPEX for mobile operators. One of the options to optimize the cost is by sharing the infrastructure with other operators. Elements which can be considered for sharing are structure space for antennas, equipment space for radio equipment and incoming power supply. Radio equipment will take up more than half of the space at site. And among the radio equipment installed at site, Remote Radio Unit (RRU) is the unit which usually occupies the biggest space due to the quantity of items which are, physically heavy and bulky, multiple based on technology deployed and they generate a lot of heat. This proposal will provide one of the RRUs sharing solution for sites with space constraints but need to accommodate a high number of RRUs and accessories.
{"title":"RRUs and RF Combining Circuit Sharing Solution for Sites with Space Constraint","authors":"M. Mohamad, Mohd Yusdee Yusoff, S. S. Sarnin, N. F. Naim","doi":"10.1109/ICSGRC.2018.8657500","DOIUrl":"https://doi.org/10.1109/ICSGRC.2018.8657500","url":null,"abstract":"Base station network infrastructure cost continues to be among the biggest CAPEX for mobile operators. One of the options to optimize the cost is by sharing the infrastructure with other operators. Elements which can be considered for sharing are structure space for antennas, equipment space for radio equipment and incoming power supply. Radio equipment will take up more than half of the space at site. And among the radio equipment installed at site, Remote Radio Unit (RRU) is the unit which usually occupies the biggest space due to the quantity of items which are, physically heavy and bulky, multiple based on technology deployed and they generate a lot of heat. This proposal will provide one of the RRUs sharing solution for sites with space constraints but need to accommodate a high number of RRUs and accessories.","PeriodicalId":147027,"journal":{"name":"2018 9th IEEE Control and System Graduate Research Colloquium (ICSGRC)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134227515","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 : 2018-08-01DOI: 10.1109/ICSGRC.2018.8657503
A. Farzamnia, Ngu War Hlaing, M. Mariappan, M. K. Haldar
The wireless channel environment is critical to develop wireless communication. In Quadrature Amplitude Modulation (QAM), the constellation points are in square grid with equal vertical and horizontal spacing. Because of higher order modulation formats, more bit per symbol can be transmitted. M-QAM is the efficient digital modulation method because of its higher constellation points. In this paper, the Bit Error Rate (BER) performance of Orthogonal Frequency Division Multiplexing (OFDM) systems and different arrays of QAM (4, 8, 16, and 64-QAM) modulation techniques has been compared under the Rayleigh fading and Additive White Gaussian Noise (AWGN) channels. All the simulations are carried out in MATLAB. The investigation results shows that the Quadrature Phase Shift Keying (QPSK) modulation scheme gives the best performance in term of BER in OFDM system compared to the M-QAM modulation scheme.
{"title":"BER Comparison of OFDM with M-QAM Modulation Scheme of AWGN and Rayleigh Fading Channels","authors":"A. Farzamnia, Ngu War Hlaing, M. Mariappan, M. K. Haldar","doi":"10.1109/ICSGRC.2018.8657503","DOIUrl":"https://doi.org/10.1109/ICSGRC.2018.8657503","url":null,"abstract":"The wireless channel environment is critical to develop wireless communication. In Quadrature Amplitude Modulation (QAM), the constellation points are in square grid with equal vertical and horizontal spacing. Because of higher order modulation formats, more bit per symbol can be transmitted. M-QAM is the efficient digital modulation method because of its higher constellation points. In this paper, the Bit Error Rate (BER) performance of Orthogonal Frequency Division Multiplexing (OFDM) systems and different arrays of QAM (4, 8, 16, and 64-QAM) modulation techniques has been compared under the Rayleigh fading and Additive White Gaussian Noise (AWGN) channels. All the simulations are carried out in MATLAB. The investigation results shows that the Quadrature Phase Shift Keying (QPSK) modulation scheme gives the best performance in term of BER in OFDM system compared to the M-QAM modulation scheme.","PeriodicalId":147027,"journal":{"name":"2018 9th IEEE Control and System Graduate Research Colloquium (ICSGRC)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133960294","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 : 2018-08-01DOI: 10.1109/ICSGRC.2018.8657528
M. H. Harun, A'zraa Afhzan Ab. Rahim, Ili Shairah Abdul Halim, N. E. Abdullah
The main purpose of a suspension is to reduce the vibration that occurs when driving on the road. However, this vibration still exists in passive suspension which contain high frequency causing reduced ride comfort and driveability. Besides that, the effects of using passive suspension can also cause damage to certain components of a car when passing through holes on the road and when there is a high bump. To overcome this problem, a comparison has been made based on the performance between passive suspension, Linear Quadratic Regulator (LQR) and Fuzzy logic Controller (FLC) that used specific model parameters based on previous studies. This investigation focusses on two-degree of freedom (DOF) quarter car suspension using the MATLAB / SIMULINK toolbox. Several road profiles were used, and analysis based on car body displacement, car body acceleration, suspension travel and space rattle were carried out. The result of the analysis shows that both controllers can reduce vibration. However, FLC provides the best performance compared to LQR.
{"title":"Performance Comparison of Active Suspension for Ride Comfort Using Linear Quadratic Regulator (LQR) and Fuzzy Logic Controller (FLC)","authors":"M. H. Harun, A'zraa Afhzan Ab. Rahim, Ili Shairah Abdul Halim, N. E. Abdullah","doi":"10.1109/ICSGRC.2018.8657528","DOIUrl":"https://doi.org/10.1109/ICSGRC.2018.8657528","url":null,"abstract":"The main purpose of a suspension is to reduce the vibration that occurs when driving on the road. However, this vibration still exists in passive suspension which contain high frequency causing reduced ride comfort and driveability. Besides that, the effects of using passive suspension can also cause damage to certain components of a car when passing through holes on the road and when there is a high bump. To overcome this problem, a comparison has been made based on the performance between passive suspension, Linear Quadratic Regulator (LQR) and Fuzzy logic Controller (FLC) that used specific model parameters based on previous studies. This investigation focusses on two-degree of freedom (DOF) quarter car suspension using the MATLAB / SIMULINK toolbox. Several road profiles were used, and analysis based on car body displacement, car body acceleration, suspension travel and space rattle were carried out. The result of the analysis shows that both controllers can reduce vibration. However, FLC provides the best performance compared to LQR.","PeriodicalId":147027,"journal":{"name":"2018 9th IEEE Control and System Graduate Research Colloquium (ICSGRC)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134634628","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 : 2018-08-01DOI: 10.1109/ICSGRC.2018.8657606
N. Sulaiman, Beh See Ying, M. Mustafa, M. Jadin
Stress is often known as a state of mental or emotional tension resulting from adverse circumstances. Consequently, people nowadays are facing stress where different people will have a different level of stress. Hence, EEG technology is invented to assist people to determine the level of stress by using brain signals. This paper describes the development of a LabVIEW-based system that can determine the level of stress based on the analysis of brain signals in LabView. In this study, 1-channel EEG amplifier is employed to record EEG signals from five subjects at three different cognitive states which are closed eyes (do nothing), playing game and doing IQ test. The eegID application in mobile phone is used to capture recorded EEG signals from EEG amplifier and then the captured EEG signals are analysed in LabView. The result shows that the average centroid which was applied on the EEG Power Spectrum of Alpha band is higher than Beta band when the subject is at relax cognitive state meanwhile the average centroid of EEG Power Spectrum of Beta band is higher than Alpha band when the subject is at stress cognitive state. Thus, it can be concluded that the subject are in the stress cognitive state when playing game and doing IQ test. At the end of this project, the LabVIEW Graphical User Interface (GUI) is created to display the level of stress for each subject after undergoing several mental exercises. Beside LabViewGui, a device is constructed to display the level of stress in offline manner.
{"title":"Offline LabView-based EEG Signals Analysis for Human Stress Monitoring","authors":"N. Sulaiman, Beh See Ying, M. Mustafa, M. Jadin","doi":"10.1109/ICSGRC.2018.8657606","DOIUrl":"https://doi.org/10.1109/ICSGRC.2018.8657606","url":null,"abstract":"Stress is often known as a state of mental or emotional tension resulting from adverse circumstances. Consequently, people nowadays are facing stress where different people will have a different level of stress. Hence, EEG technology is invented to assist people to determine the level of stress by using brain signals. This paper describes the development of a LabVIEW-based system that can determine the level of stress based on the analysis of brain signals in LabView. In this study, 1-channel EEG amplifier is employed to record EEG signals from five subjects at three different cognitive states which are closed eyes (do nothing), playing game and doing IQ test. The eegID application in mobile phone is used to capture recorded EEG signals from EEG amplifier and then the captured EEG signals are analysed in LabView. The result shows that the average centroid which was applied on the EEG Power Spectrum of Alpha band is higher than Beta band when the subject is at relax cognitive state meanwhile the average centroid of EEG Power Spectrum of Beta band is higher than Alpha band when the subject is at stress cognitive state. Thus, it can be concluded that the subject are in the stress cognitive state when playing game and doing IQ test. At the end of this project, the LabVIEW Graphical User Interface (GUI) is created to display the level of stress for each subject after undergoing several mental exercises. Beside LabViewGui, a device is constructed to display the level of stress in offline manner.","PeriodicalId":147027,"journal":{"name":"2018 9th IEEE Control and System Graduate Research Colloquium (ICSGRC)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124635890","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 : 2018-08-01DOI: 10.1109/ICSGRC.2018.8657553
Muhammad Ado, A. Jusoh, Mohd Junaidi Abdul Aziz, M. Kermadi, A. U. Mutawakkil
In this paper, a DC-DC buck-boost converter (BBC) based on the quasi Z-source converter (q-ZSC) topology is proposed. The converter is classified as buck-boost because their gains are the same. It is also classified as an impedance source converter (ISC) because it is based on q-ZSC topology. These shared properties of the buck-boost and q-ZSC gives it advantages over each of these two converters. The gain curve gives it advantages over a corresponding regular q-ZSC because for a given duty ratio, it has a higher gain, while it's topology edge it over a corresponding BBC thus permitting higher frequency operation, elimination of dead time, shoot-through effects etc. MATLAB/SIMULINK was used to compare its performance and corresponding BBC for a buck mode and boost mode operation. The simulation results show that their responses are very much similar.
{"title":"DC-DC q-ZSC with Buck-Boost Converter Gain","authors":"Muhammad Ado, A. Jusoh, Mohd Junaidi Abdul Aziz, M. Kermadi, A. U. Mutawakkil","doi":"10.1109/ICSGRC.2018.8657553","DOIUrl":"https://doi.org/10.1109/ICSGRC.2018.8657553","url":null,"abstract":"In this paper, a DC-DC buck-boost converter (BBC) based on the quasi Z-source converter (q-ZSC) topology is proposed. The converter is classified as buck-boost because their gains are the same. It is also classified as an impedance source converter (ISC) because it is based on q-ZSC topology. These shared properties of the buck-boost and q-ZSC gives it advantages over each of these two converters. The gain curve gives it advantages over a corresponding regular q-ZSC because for a given duty ratio, it has a higher gain, while it's topology edge it over a corresponding BBC thus permitting higher frequency operation, elimination of dead time, shoot-through effects etc. MATLAB/SIMULINK was used to compare its performance and corresponding BBC for a buck mode and boost mode operation. The simulation results show that their responses are very much similar.","PeriodicalId":147027,"journal":{"name":"2018 9th IEEE Control and System Graduate Research Colloquium (ICSGRC)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132250459","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 : 2018-08-01DOI: 10.1109/ICSGRC.2018.8657539
Kamal A'riffin Wan Mahzan, N. E. Abdullah, N. K. Madzhi, IIi Shairah Abdul Halim, Siti Lailatul, M. Hassan
According to the rapidity of rubber tree sector, the demand of rubber manufacturing product is rising and expected to continue increase all over the world. Thus, the identification of rubber tree clone is important in order to increase the productivity of latex and it is going to be large investment for farmer in rubber tree plantation. There are at least five RRIM clone that have been selected according to Malaysia Rubber Board suggestion. The characteristic of these clones will be examined based on its visible light spectrum properties using MCS 600 spectrometer. Then, the inference analysis of the relationship between color spectrum properties of rubber tree clones and latex are obtained statistically in this work. Therefore, the outcomes of this work have concluded that the proposed technique is able to use for differentiate various rubber tree clones.
{"title":"Empirical Investigation of RRIM Clone Series Identification Based on Visible Spectrum Using Spectrometer","authors":"Kamal A'riffin Wan Mahzan, N. E. Abdullah, N. K. Madzhi, IIi Shairah Abdul Halim, Siti Lailatul, M. Hassan","doi":"10.1109/ICSGRC.2018.8657539","DOIUrl":"https://doi.org/10.1109/ICSGRC.2018.8657539","url":null,"abstract":"According to the rapidity of rubber tree sector, the demand of rubber manufacturing product is rising and expected to continue increase all over the world. Thus, the identification of rubber tree clone is important in order to increase the productivity of latex and it is going to be large investment for farmer in rubber tree plantation. There are at least five RRIM clone that have been selected according to Malaysia Rubber Board suggestion. The characteristic of these clones will be examined based on its visible light spectrum properties using MCS 600 spectrometer. Then, the inference analysis of the relationship between color spectrum properties of rubber tree clones and latex are obtained statistically in this work. Therefore, the outcomes of this work have concluded that the proposed technique is able to use for differentiate various rubber tree clones.","PeriodicalId":147027,"journal":{"name":"2018 9th IEEE Control and System Graduate Research Colloquium (ICSGRC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126216944","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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