Pub Date : 2016-10-01DOI: 10.1109/I2CACIS.2016.7885296
Nur Sakinah Abdul Aziz, R. Adnan, M. Tajjudin
Fractional-order PID (FOPID) controller has been focused lately and has become a popular controller which is an extension to the conventional PID controller. However, the controller introduced more parameters that need to be tuned. The incorporation of fuzzy rules in the tuning procedures can basically simplify the problem but it has been proven that not every parameters need to be updated recursively. Hence, this paper presents an approach to the design of fuzzy proportional plus fractional-order integral-derivative (fuzzy P+FOID) controller that only updated the proportional gain with respect to current error and rate of error while all other parameters were fixed. The effectiveness of the proposed controller was validated by simulations on a steam distillation process model.
{"title":"Design of fuzzy proportional plus fractional-order integral-derivative controller","authors":"Nur Sakinah Abdul Aziz, R. Adnan, M. Tajjudin","doi":"10.1109/I2CACIS.2016.7885296","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885296","url":null,"abstract":"Fractional-order PID (FOPID) controller has been focused lately and has become a popular controller which is an extension to the conventional PID controller. However, the controller introduced more parameters that need to be tuned. The incorporation of fuzzy rules in the tuning procedures can basically simplify the problem but it has been proven that not every parameters need to be updated recursively. Hence, this paper presents an approach to the design of fuzzy proportional plus fractional-order integral-derivative (fuzzy P+FOID) controller that only updated the proportional gain with respect to current error and rate of error while all other parameters were fixed. The effectiveness of the proposed controller was validated by simulations on a steam distillation process model.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127301020","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 : 2016-10-01DOI: 10.1109/I2CACIS.2016.7885307
H. Luqman, W. Zulkifly, C. Z. Rosly, Khalijah Khalid, U. Jamaludin, A. Ralib, M. Nor
Insulin Infusion Therapy (IIT) has been implemented in Malaysia Intensive Care Unit (ICU) for decades to control blood glucose level (BGL) among critically ill patients. In this study, clinical data of 210 patients treated with IIT-HTAA protocol and the minimum length of stay of 1 day were analysed. BGL, insulin and nutrition inputs were fitted using Intensive Control Insulin Nutrition Glucose (ICING) model to generate the insulin sensitivity numerically by iterative-integral method. The 95% of confidence interval and Kolmogorov-Smirnov test (p<0.05) were used to evaluate the performance of protocol between the Stochastic TARgeted (STAR) and HTAA protocols per cohorts and per patients. Results indicates BG median [with IQR] recorded in STAR protocol for the whole cohort statistics is lower than HTAA Protocol where 7.4 mmol/L [5.7-9.4] and 8.6 mmol/L [6.8-10.9] respectively. STAR is successful in lowering the BGL which can be seen from the % BG > 10.0 mmol/L is 19.7% while 32.8% for HTAA Protocol. The drawback from this positive result is the increment of hypoglycaemic patients (HTAA Protocol: 9; STAR: 36). Thus, STAR is the best solution in controlling the patients' BG level especially in Malaysian cohort but the enhancement of STAR have to be done to prevent the risk of hypoglycaemia by introducing patient-specific nutrition controller that can be combined with insulin infusion.
{"title":"Performance of blood glucose management protocols in HTAA intensive care unit","authors":"H. Luqman, W. Zulkifly, C. Z. Rosly, Khalijah Khalid, U. Jamaludin, A. Ralib, M. Nor","doi":"10.1109/I2CACIS.2016.7885307","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885307","url":null,"abstract":"Insulin Infusion Therapy (IIT) has been implemented in Malaysia Intensive Care Unit (ICU) for decades to control blood glucose level (BGL) among critically ill patients. In this study, clinical data of 210 patients treated with IIT-HTAA protocol and the minimum length of stay of 1 day were analysed. BGL, insulin and nutrition inputs were fitted using Intensive Control Insulin Nutrition Glucose (ICING) model to generate the insulin sensitivity numerically by iterative-integral method. The 95% of confidence interval and Kolmogorov-Smirnov test (p<0.05) were used to evaluate the performance of protocol between the Stochastic TARgeted (STAR) and HTAA protocols per cohorts and per patients. Results indicates BG median [with IQR] recorded in STAR protocol for the whole cohort statistics is lower than HTAA Protocol where 7.4 mmol/L [5.7-9.4] and 8.6 mmol/L [6.8-10.9] respectively. STAR is successful in lowering the BGL which can be seen from the % BG > 10.0 mmol/L is 19.7% while 32.8% for HTAA Protocol. The drawback from this positive result is the increment of hypoglycaemic patients (HTAA Protocol: 9; STAR: 36). Thus, STAR is the best solution in controlling the patients' BG level especially in Malaysian cohort but the enhancement of STAR have to be done to prevent the risk of hypoglycaemia by introducing patient-specific nutrition controller that can be combined with insulin infusion.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130012923","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 : 2016-10-01DOI: 10.1109/I2CACIS.2016.7885287
T. Tang, S. Chong, C. Y. Chan, Vasanthan Sakthivelu
Over the past decade, pneumatic muscle actuator (PMA) has been in the limelight and receiving much attention not only in the field of industrial application as well as in prominent research areas such as robotics and biomedical engineering. The uprising can be accorded to the many advantages that PMA offers such as inherent compliant safety, low maintenance and powerful. However, PMA has yet to emerge as disruptor in its application field primarily due to the nonlinear dynamics. Despite these detriments, PMA possesses pronounced prospective to be exploited, especially in the field of rehabilitation robotics. Henceforth, this research is initiated to propose a control structure taking into account the nonlinear dynamics where PMA motion is concerned. An improved proportional-integral-derivative (PID) control is proposed and the effectiveness of the controller in point-to-point (PTP) positioning motion is evaluated experimentally using a single degree of freedom (1-DOF) PMA mechanism. The improved-PID control is constructed with the driving chracteristics of the PMA mechanism. Subsequently, the positioning performance of the improved-PID control is evaluated and compared with a classical PID controller through experimental means. In general, the proposed controller is capable of striking a satisfactory performance in PTP positioning with the reduction of the effect concerning the non-linearities available in the system.
{"title":"Point-to-point positioning control of a pneumatic muscle actuated system using improved-PID control","authors":"T. Tang, S. Chong, C. Y. Chan, Vasanthan Sakthivelu","doi":"10.1109/I2CACIS.2016.7885287","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885287","url":null,"abstract":"Over the past decade, pneumatic muscle actuator (PMA) has been in the limelight and receiving much attention not only in the field of industrial application as well as in prominent research areas such as robotics and biomedical engineering. The uprising can be accorded to the many advantages that PMA offers such as inherent compliant safety, low maintenance and powerful. However, PMA has yet to emerge as disruptor in its application field primarily due to the nonlinear dynamics. Despite these detriments, PMA possesses pronounced prospective to be exploited, especially in the field of rehabilitation robotics. Henceforth, this research is initiated to propose a control structure taking into account the nonlinear dynamics where PMA motion is concerned. An improved proportional-integral-derivative (PID) control is proposed and the effectiveness of the controller in point-to-point (PTP) positioning motion is evaluated experimentally using a single degree of freedom (1-DOF) PMA mechanism. The improved-PID control is constructed with the driving chracteristics of the PMA mechanism. Subsequently, the positioning performance of the improved-PID control is evaluated and compared with a classical PID controller through experimental means. In general, the proposed controller is capable of striking a satisfactory performance in PTP positioning with the reduction of the effect concerning the non-linearities available in the system.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126377637","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 : 2016-10-01DOI: 10.1109/I2CACIS.2016.7885303
Attika Ahmed, R. Ghazali
In software projects, there is a data repository which contains the bug reports. These bugs are required to carefully analyse and resolve the problem. Handling these bugs humanly is extremely time consuming process, and it can result the deleying in addressing some important bugs resolutions. To overcome this problem, researchers have introduced many techniques. One of the commonly used algorithm is K-means, which is considered as the simplest supervised learning algorithm for clustering, yet it tends to produce smaller number of clusters, while considering the unsupervised learning algorithms, Self-Organizing Map (SOM) considers the equally compatible algorithm for clustering, as both the algorithms are closely related but differently used in data mining. This paper attempts to provide a comparative analysis of both the clustering algorithms and for attaining the results, a series of experiment has been conducted using Mozilla bugs data set. Based on the results, this paper proposes a new algorithm which is improved SOM using Jaccard New Measure. The test result has proved that the proposed new method produced better accuracy.
{"title":"An improved self-organizing map for bugs data clustering","authors":"Attika Ahmed, R. Ghazali","doi":"10.1109/I2CACIS.2016.7885303","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885303","url":null,"abstract":"In software projects, there is a data repository which contains the bug reports. These bugs are required to carefully analyse and resolve the problem. Handling these bugs humanly is extremely time consuming process, and it can result the deleying in addressing some important bugs resolutions. To overcome this problem, researchers have introduced many techniques. One of the commonly used algorithm is K-means, which is considered as the simplest supervised learning algorithm for clustering, yet it tends to produce smaller number of clusters, while considering the unsupervised learning algorithms, Self-Organizing Map (SOM) considers the equally compatible algorithm for clustering, as both the algorithms are closely related but differently used in data mining. This paper attempts to provide a comparative analysis of both the clustering algorithms and for attaining the results, a series of experiment has been conducted using Mozilla bugs data set. Based on the results, this paper proposes a new algorithm which is improved SOM using Jaccard New Measure. The test result has proved that the proposed new method produced better accuracy.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117018301","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 : 2016-10-01DOI: 10.1109/I2CACIS.2016.7885313
M. Bakar, R. Samad, Dwi Pebrianti, M. Mustafa, N. Abdullah
The exercise and rehabilitation based on computer vision system have many benefits and it has attracted the interest of researchers in the computer vision community. The researchers have kept on improving the existing methods by creating novel method or developing new algorithms in image processing and artificial intelligence. This paper presents the experiment and analysis of wrist radial and ulnar deviation exercises system based on computer vision method. These exercises are a part of the upper limb exercise for the rehabilitation program. The wrist radial and ulnar deviation exercises are benefited to improve the mobility of the hand and to reduce the pain. The hand tracking, center of palm detection and fingertips detection and Kinect sensor are used in this exercise system. This system guides the user to perform the radial and ulnar deviation movements through the user's display window. The deviation angle of each movement is measured and recorded automatically. The experimental result shows that the average deviation angle for five users in wrist radial and ulnar deviation experiment is 23.4° for the radial motion and 35.8° for the ulnar motion. These measurements are almost similar to the reference value of range of motion (ROM) standard.
{"title":"Experiment and analysis of computer vision-based wrist radial and ulnar deviation exercises","authors":"M. Bakar, R. Samad, Dwi Pebrianti, M. Mustafa, N. Abdullah","doi":"10.1109/I2CACIS.2016.7885313","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885313","url":null,"abstract":"The exercise and rehabilitation based on computer vision system have many benefits and it has attracted the interest of researchers in the computer vision community. The researchers have kept on improving the existing methods by creating novel method or developing new algorithms in image processing and artificial intelligence. This paper presents the experiment and analysis of wrist radial and ulnar deviation exercises system based on computer vision method. These exercises are a part of the upper limb exercise for the rehabilitation program. The wrist radial and ulnar deviation exercises are benefited to improve the mobility of the hand and to reduce the pain. The hand tracking, center of palm detection and fingertips detection and Kinect sensor are used in this exercise system. This system guides the user to perform the radial and ulnar deviation movements through the user's display window. The deviation angle of each movement is measured and recorded automatically. The experimental result shows that the average deviation angle for five users in wrist radial and ulnar deviation experiment is 23.4° for the radial motion and 35.8° for the ulnar motion. These measurements are almost similar to the reference value of range of motion (ROM) standard.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128474815","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 : 2016-10-01DOI: 10.1109/I2CACIS.2016.7885309
Mohannad Farag, N. Azlan, Salmiah Ahmad
This paper presents the design of cascade controller for robotic fingers designed based on an anthropomorphic inspiration. These fingers are driven by Pneumatic Artificial Muscle actuators. The high nonlinear dynamics of these actuators and the inherent hysteresis in their behavior lead to the modelling and control problems that cause a lack of robustness in the hand's performance. The actuator has been mathematically modelled as a nonlinear second order system and the estimator of the system uncertainty has been incorporated into adaptive backstepping control law. The cascade controller is designed by integrating the adaptive backstepping controller and PID controller for position control of the robotic fingers. The experiment results have proven that the proposed controller is capable to compensate for the coulomb friction force which is the system uncertainty and improves the position control of the robotic fingers. In addition, the robotic fingers have introduced an adaptive grasping for cylindrical-shaped objects with different diameters. The robotic hand has imitated the human hand in terms of size, weight and grasping.
{"title":"Cascade control of robotic fingers with anthropomorphic inspiration","authors":"Mohannad Farag, N. Azlan, Salmiah Ahmad","doi":"10.1109/I2CACIS.2016.7885309","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885309","url":null,"abstract":"This paper presents the design of cascade controller for robotic fingers designed based on an anthropomorphic inspiration. These fingers are driven by Pneumatic Artificial Muscle actuators. The high nonlinear dynamics of these actuators and the inherent hysteresis in their behavior lead to the modelling and control problems that cause a lack of robustness in the hand's performance. The actuator has been mathematically modelled as a nonlinear second order system and the estimator of the system uncertainty has been incorporated into adaptive backstepping control law. The cascade controller is designed by integrating the adaptive backstepping controller and PID controller for position control of the robotic fingers. The experiment results have proven that the proposed controller is capable to compensate for the coulomb friction force which is the system uncertainty and improves the position control of the robotic fingers. In addition, the robotic fingers have introduced an adaptive grasping for cylindrical-shaped objects with different diameters. The robotic hand has imitated the human hand in terms of size, weight and grasping.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133735134","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 : 2016-10-01DOI: 10.1109/I2CACIS.2016.7885306
Khairah Jaafar, N. Ismail, M. Tajjudin, R. Adnan, M. Rahiman
As part of ongoing research for flood modeling, this paper proposes Z-score in identifying the significant rainfall stations in Kelantan River for Multi-Layer Perceptron (MLP) model development. In this work, time series data of river water level was collected with hourly time interval in year 2015. Seven rainfall stations in Kelantan River were used and applied to Z-Score. They are Gunung Gagau 1, Kuala Koh, Tualang, Kuala Krai, Kusial, Dataran Air Mulih and Jeti Kastam, and coded as S1 to S7, respectively. The result showed that rainfall station S2, S3 and S5 were identified and the river water level of these station are fed to Multi-Layer Perceptron (MLP) for model development to predict the river water level at station S5. The input and output data is splitted to training, validation and testing with the ratio of 70%:15%:15%. The neurons in hidden layer were varying from 1 to 10 and Mean Square Error (MSE) for each neuron is computed together with regression for training network. It showed that the regression for training network is 0.9999 which is closed to 1 accompanied by the smallest MSE is 0.00027 at 3 hidden neurons in hidden layer. The finding in this study revealed the capability of Z-Score in identifying significant rainfall stations and MLP developed model successful in predicting river water level at station S5.
作为正在进行的洪水模型研究的一部分，本文提出了识别吉兰丹河重要雨量站的z分数，用于多层感知器(MLP)模型的开发。本研究采集了2015年河流水位以小时为间隔的时间序列数据。利用吉兰丹河7个雨量站进行Z-Score分析。它们分别是Gunung Gagau 1, Kuala Koh, Tualang, Kuala Krai, Kusial, Dataran Air Mulih和Jeti Kastam，编码分别为S1至S7。结果表明:识别出雨量站S2、S3和S5，并将这些站点的河流水位输入多层感知器(MLP)进行模型开发，预测S5站点的河流水位。输入输出数据按70%:15%:15%的比例分为训练、验证和测试三个部分。隐层神经元个数从1到10不等，计算每个神经元的均方误差(Mean Square Error, MSE)，并对训练网络进行回归。结果表明，在隐藏层有3个隐藏神经元时，训练网络的回归值为0.9999，接近于1，最小的MSE为0.00027。研究结果表明，Z-Score在识别重要雨站方面具有一定的能力，MLP开发的模型在预测S5站的河流水位方面取得了成功。
{"title":"Identification of significant rainfall stations in Kelantan River using Z-score for Multi-Layer Perceptron (MLP) model development","authors":"Khairah Jaafar, N. Ismail, M. Tajjudin, R. Adnan, M. Rahiman","doi":"10.1109/I2CACIS.2016.7885306","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885306","url":null,"abstract":"As part of ongoing research for flood modeling, this paper proposes Z-score in identifying the significant rainfall stations in Kelantan River for Multi-Layer Perceptron (MLP) model development. In this work, time series data of river water level was collected with hourly time interval in year 2015. Seven rainfall stations in Kelantan River were used and applied to Z-Score. They are Gunung Gagau 1, Kuala Koh, Tualang, Kuala Krai, Kusial, Dataran Air Mulih and Jeti Kastam, and coded as S1 to S7, respectively. The result showed that rainfall station S2, S3 and S5 were identified and the river water level of these station are fed to Multi-Layer Perceptron (MLP) for model development to predict the river water level at station S5. The input and output data is splitted to training, validation and testing with the ratio of 70%:15%:15%. The neurons in hidden layer were varying from 1 to 10 and Mean Square Error (MSE) for each neuron is computed together with regression for training network. It showed that the regression for training network is 0.9999 which is closed to 1 accompanied by the smallest MSE is 0.00027 at 3 hidden neurons in hidden layer. The finding in this study revealed the capability of Z-Score in identifying significant rainfall stations and MLP developed model successful in predicting river water level at station S5.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133131429","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 : 2016-10-01DOI: 10.1109/I2CACIS.2016.7885286
N. Hussin, M. H. Idris, M. Amirruddin, M. S. Ahmad, M. A. Ismail, F. Abdullah, Nurhakimah Mohd Mukhta
Overcurrent relay is an important relay used to protect transmission and distribution feeders, transformer, bus coupler etc. It can be used as main or backup protection relays. The modeling of overcurrent relay and other protection relays is important in the research on the effects of network parameters and configurations on the operation of these relays. This research deal with modeling and simulation of inverse time overcurrent relay using commonly used Matlab/Simulink software. The developed model was tested with single line to ground fault and phase to phase fault with various fault locations and fault resistances to evaluate phase and earth detectors in sensing the fault current. Simulations results show the feasibility of the software to be used to develop the relay.
{"title":"Modeling and simulation of inverse time overcurrent relay using Matlab/Simulink","authors":"N. Hussin, M. H. Idris, M. Amirruddin, M. S. Ahmad, M. A. Ismail, F. Abdullah, Nurhakimah Mohd Mukhta","doi":"10.1109/I2CACIS.2016.7885286","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885286","url":null,"abstract":"Overcurrent relay is an important relay used to protect transmission and distribution feeders, transformer, bus coupler etc. It can be used as main or backup protection relays. The modeling of overcurrent relay and other protection relays is important in the research on the effects of network parameters and configurations on the operation of these relays. This research deal with modeling and simulation of inverse time overcurrent relay using commonly used Matlab/Simulink software. The developed model was tested with single line to ground fault and phase to phase fault with various fault locations and fault resistances to evaluate phase and earth detectors in sensing the fault current. Simulations results show the feasibility of the software to be used to develop the relay.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132630512","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 : 2016-10-01DOI: 10.1109/I2CACIS.2016.7885320
Y. S. Song, M. Arshad
This paper presents a pre-mission coverage path planning specifically for visual inspection of a well-characterized underwater pole using an autonomous underwater vehicle. The target environment is modelled as a planar map for easy path planning. Various inspection paths are constructed based on the survey of current available coverage trajectories. Then, all the designed paths are analyzed to find a time optimal path among them which is able to provide complete coverage on the underwater pole surface while minimize the operational time needed. A robust property is added into the planned path to achieve robustness against the position uncertainty of autonomous underwater vehicle.
{"title":"Coverage path planning for underwater pole inspection using an autonomous underwater vehicle","authors":"Y. S. Song, M. Arshad","doi":"10.1109/I2CACIS.2016.7885320","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885320","url":null,"abstract":"This paper presents a pre-mission coverage path planning specifically for visual inspection of a well-characterized underwater pole using an autonomous underwater vehicle. The target environment is modelled as a planar map for easy path planning. Various inspection paths are constructed based on the survey of current available coverage trajectories. Then, all the designed paths are analyzed to find a time optimal path among them which is able to provide complete coverage on the underwater pole surface while minimize the operational time needed. A robust property is added into the planned path to achieve robustness against the position uncertainty of autonomous underwater vehicle.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129401975","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 : 2016-10-01DOI: 10.1109/I2CACIS.2016.7885319
M. F. Saaid, A. M. Mohammad, M. Ali
Blind people are prone to sweep or knock whatever obstacle which pass before them during walking, subjecting them to risk of injury caused from fall. The aim of this project is to develop a smart cane with distance measurement system. The system comprise of an ultrasonic sensor as input and earphone as the output. Ultrasonic sensor is used to measure distance from the obstacle. Data is then sent to National Instrument myRIO-1900 controller for processing which later produce beeping sound as the output. The process was graphically programmed using LabVIEW with FPGA as the intended target. Performance of the system has been ascertained through several verification tests. In general, the device will alert blind people of the obstacles through the audio output.
{"title":"Smart cane with range notification for blind people","authors":"M. F. Saaid, A. M. Mohammad, M. Ali","doi":"10.1109/I2CACIS.2016.7885319","DOIUrl":"https://doi.org/10.1109/I2CACIS.2016.7885319","url":null,"abstract":"Blind people are prone to sweep or knock whatever obstacle which pass before them during walking, subjecting them to risk of injury caused from fall. The aim of this project is to develop a smart cane with distance measurement system. The system comprise of an ultrasonic sensor as input and earphone as the output. Ultrasonic sensor is used to measure distance from the obstacle. Data is then sent to National Instrument myRIO-1900 controller for processing which later produce beeping sound as the output. The process was graphically programmed using LabVIEW with FPGA as the intended target. Performance of the system has been ascertained through several verification tests. In general, the device will alert blind people of the obstacles through the audio output.","PeriodicalId":399080,"journal":{"name":"2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130951425","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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