Pub Date : 2012-09-01DOI: 10.1109/CCSII.2012.6470500
Dalai Tang, B. Yusuf, J. Botzheim, N. Kubota, I. A. Sulistijono
This paper discusses the development of robot partner that can perform not only static conversation, but also can perform emotion expression by facial expression, gesture, and word expression using emotional model based on sensor network, therefore it can interact naturally with a person. Generally, the robot has sensors equipped inside it, however to express emotion the equipped sensors are not enough to grasp the necessary input information about the surrounding environmental situation. Therefore we propose a sensor network applied to the robot partner for estimating the environment states as input data, after that the acquired data is processed using emotional model to gain the desired emotional expression. In this paper, first we explain the concept of informationally structured space, robot partner that we are developing, and sensor network. Next, we explain the development of emotional model that consists of data acquisition from sensor network as an input and the model output such as face, gesture, and word expression. Finally, we conduct several experiments based on the proposed method, and discuss the ability of emotional model to develop robot partner that can perform emotional expression.
{"title":"Robot Partner Development Using Emotional Model Based on Sensor Network","authors":"Dalai Tang, B. Yusuf, J. Botzheim, N. Kubota, I. A. Sulistijono","doi":"10.1109/CCSII.2012.6470500","DOIUrl":"https://doi.org/10.1109/CCSII.2012.6470500","url":null,"abstract":"This paper discusses the development of robot partner that can perform not only static conversation, but also can perform emotion expression by facial expression, gesture, and word expression using emotional model based on sensor network, therefore it can interact naturally with a person. Generally, the robot has sensors equipped inside it, however to express emotion the equipped sensors are not enough to grasp the necessary input information about the surrounding environmental situation. Therefore we propose a sensor network applied to the robot partner for estimating the environment states as input data, after that the acquired data is processed using emotional model to gain the desired emotional expression. In this paper, first we explain the concept of informationally structured space, robot partner that we are developing, and sensor network. Next, we explain the development of emotional model that consists of data acquisition from sensor network as an input and the model output such as face, gesture, and word expression. Finally, we conduct several experiments based on the proposed method, and discuss the ability of emotional model to develop robot partner that can perform emotional expression.","PeriodicalId":389895,"journal":{"name":"2012 IEEE Conference on Control, Systems & Industrial Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122449032","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}
A fundamental issue in model predictive control is the choice of the prediction and/or control horizon. Prior knowledge is often required. The transient performance is dependent on this choice. Moreover, a single choice is perhaps not the best option at all time instants. In this paper, we resolve the issue by introducing the novel idea of multiple performance criteria with switching. This method chooses automatically at every instant the best prediction and control horizon resulting in an improved transient response. The technique is then applied to the Shell benchmark control problem. We demonstrate that the tracking error is considerably reduced with lesser settling times.
{"title":"Switching between multiple performance criteria to improve performance","authors":"Koshy George, Sachin Prabhu, Shashank Suryanarayanan, Tejas Bettadapura, Nagesh","doi":"10.1109/CCSII.2012.6470464","DOIUrl":"https://doi.org/10.1109/CCSII.2012.6470464","url":null,"abstract":"A fundamental issue in model predictive control is the choice of the prediction and/or control horizon. Prior knowledge is often required. The transient performance is dependent on this choice. Moreover, a single choice is perhaps not the best option at all time instants. In this paper, we resolve the issue by introducing the novel idea of multiple performance criteria with switching. This method chooses automatically at every instant the best prediction and control horizon resulting in an improved transient response. The technique is then applied to the Shell benchmark control problem. We demonstrate that the tracking error is considerably reduced with lesser settling times.","PeriodicalId":389895,"journal":{"name":"2012 IEEE Conference on Control, Systems & Industrial Informatics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133354647","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 : 2012-09-01DOI: 10.1109/CCSII.2012.6470463
S. Salmah
In this paper the noncooperative linear quadratic game problem will be considered. If the second player is allowed to select his strategy first, he is called the leader of the game and the first player who select his strategy at the second time is called the follower. A stackelberg strategy is the optimal strategy for the leader under the assumption that the follower reacts by playing optimally.We present necessary and sufficient conditions for existence of optimal strategy for linear quadratic continuous non-zero-sum two player dynamic games for index one descriptor system. The connection of the game solution with solution of couple Riccati equation will be studied.
{"title":"Stackelberg strategy in linear quadratic dynamic game for descriptor systems","authors":"S. Salmah","doi":"10.1109/CCSII.2012.6470463","DOIUrl":"https://doi.org/10.1109/CCSII.2012.6470463","url":null,"abstract":"In this paper the noncooperative linear quadratic game problem will be considered. If the second player is allowed to select his strategy first, he is called the leader of the game and the first player who select his strategy at the second time is called the follower. A stackelberg strategy is the optimal strategy for the leader under the assumption that the follower reacts by playing optimally.We present necessary and sufficient conditions for existence of optimal strategy for linear quadratic continuous non-zero-sum two player dynamic games for index one descriptor system. The connection of the game solution with solution of couple Riccati equation will be studied.","PeriodicalId":389895,"journal":{"name":"2012 IEEE Conference on Control, Systems & Industrial Informatics","volume":"83 1-2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134243807","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 : 2012-09-01DOI: 10.1109/CCSII.2012.6470503
N. Zamin, Alan Oxley, Z. Bakar, S. A. Farhan
This paper presents in detail a linguistics study of a journalistic corpus of Malay describing Indonesian terrorism. The initial raw text was manually annotated for its parts-of-speech. It is the first corpus of its nature ever established in Malaysia. The objective of this research is to conduct an empirical analysis of the actual patterns of use in journalistic texts. This paper presents the characteristics of Malay terrorism corpus which include the properties, word classes, named entities and word occurrences. The results of this work are given purely in terms of the characteristics of a Malay terrorism corpus. The results are highly useful for solving larger tasks in the Natural Language Processing area, such as Information Retrieval and Information Extraction, in the area of terrorism.
{"title":"Characteristics of a Malay journalistic corpus","authors":"N. Zamin, Alan Oxley, Z. Bakar, S. A. Farhan","doi":"10.1109/CCSII.2012.6470503","DOIUrl":"https://doi.org/10.1109/CCSII.2012.6470503","url":null,"abstract":"This paper presents in detail a linguistics study of a journalistic corpus of Malay describing Indonesian terrorism. The initial raw text was manually annotated for its parts-of-speech. It is the first corpus of its nature ever established in Malaysia. The objective of this research is to conduct an empirical analysis of the actual patterns of use in journalistic texts. This paper presents the characteristics of Malay terrorism corpus which include the properties, word classes, named entities and word occurrences. The results of this work are given purely in terms of the characteristics of a Malay terrorism corpus. The results are highly useful for solving larger tasks in the Natural Language Processing area, such as Information Retrieval and Information Extraction, in the area of terrorism.","PeriodicalId":389895,"journal":{"name":"2012 IEEE Conference on Control, Systems & Industrial Informatics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115291666","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 : 2012-09-01DOI: 10.1109/CCSII.2012.6470494
Tirta Nahari, E. Joelianto, Suyatman
Dynamometer is an automotive device that is used to perform engine testing. From this test, engine information such as power, torque, and emition can be obtained for design and analysis purposes. Eddy brakes dynamometer is considered because it is considerably more effective and controllable. In order to design a brakes control system based on state space approach, a state space model is required. ADALINE (Adaptive Linear Network) method is selected to identify state space model of the system from input-output data. The state space based PID controller is then applied by selecting the appropriate parameters using Ackerman pole placement method. Simulation and experimental results show that the closed loop responses satisfiy the design requirements.
测功机是一种用于发动机测试的汽车设备。从该测试中，可以获得发动机的功率、扭矩和排放等信息，用于设计和分析。考虑涡流制动测功机，因为它相当有效和可控。为了设计基于状态空间方法的制动控制系统，需要建立状态空间模型。采用ADALINE (Adaptive Linear Network)方法从输入输出数据中识别系统的状态空间模型。然后采用Ackerman极点布置法选择合适的参数，应用基于状态空间的PID控制器。仿真和实验结果表明，闭环响应满足设计要求。
{"title":"An eddy brakes dynamometer control system design using state space based PID controller","authors":"Tirta Nahari, E. Joelianto, Suyatman","doi":"10.1109/CCSII.2012.6470494","DOIUrl":"https://doi.org/10.1109/CCSII.2012.6470494","url":null,"abstract":"Dynamometer is an automotive device that is used to perform engine testing. From this test, engine information such as power, torque, and emition can be obtained for design and analysis purposes. Eddy brakes dynamometer is considered because it is considerably more effective and controllable. In order to design a brakes control system based on state space approach, a state space model is required. ADALINE (Adaptive Linear Network) method is selected to identify state space model of the system from input-output data. The state space based PID controller is then applied by selecting the appropriate parameters using Ackerman pole placement method. Simulation and experimental results show that the closed loop responses satisfiy the design requirements.","PeriodicalId":389895,"journal":{"name":"2012 IEEE Conference on Control, Systems & Industrial Informatics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125358957","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 : 2012-09-01DOI: 10.1109/CCSII.2012.6470510
U. S. Pasaribu, H. Husniah, B. P. Iskandar
This paper deals with a stochastic system and maintenance service contract. We consider a situation where an agent offers more then one service contract option and a company as the owner has to select the optimal option. This case is typically found in a mining industry where the original equipment manufacturer (OEM) is the only maintenance service provider. As repair time is related to the revenue of the company, service contract options need to consider the repair time target. We consider the repair time target from both the owner and OEM point of views. As an illustration, we give a numerical example with weibull failure distribution.
{"title":"Stochastic system in discrete preventive maintenance and service contract","authors":"U. S. Pasaribu, H. Husniah, B. P. Iskandar","doi":"10.1109/CCSII.2012.6470510","DOIUrl":"https://doi.org/10.1109/CCSII.2012.6470510","url":null,"abstract":"This paper deals with a stochastic system and maintenance service contract. We consider a situation where an agent offers more then one service contract option and a company as the owner has to select the optimal option. This case is typically found in a mining industry where the original equipment manufacturer (OEM) is the only maintenance service provider. As repair time is related to the revenue of the company, service contract options need to consider the repair time target. We consider the repair time target from both the owner and OEM point of views. As an illustration, we give a numerical example with weibull failure distribution.","PeriodicalId":389895,"journal":{"name":"2012 IEEE Conference on Control, Systems & Industrial Informatics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129438255","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 : 2012-09-01DOI: 10.1109/CCSII.2012.6470495
Anthony J. Kearsley
A system of nonlinear transient partial differential equations coupled with nonlinear algebraic constitutive relationships are employed to model the flow of two immiscible fluids. A fully stable implicit time stepping and a spatial finite element discretization results in a large stiff nonlinear system of algebraic equations to be solved at each time step. The differential operators involved are self-adjoint, but the use of Newton-type solution methods requires the solution of a system of non-symmetric linear equations to calculate each Newton step. This paper describes an inexact solution to the problem of calculating the Newton step.
{"title":"Truncated Newton's method for multiphase flow","authors":"Anthony J. Kearsley","doi":"10.1109/CCSII.2012.6470495","DOIUrl":"https://doi.org/10.1109/CCSII.2012.6470495","url":null,"abstract":"A system of nonlinear transient partial differential equations coupled with nonlinear algebraic constitutive relationships are employed to model the flow of two immiscible fluids. A fully stable implicit time stepping and a spatial finite element discretization results in a large stiff nonlinear system of algebraic equations to be solved at each time step. The differential operators involved are self-adjoint, but the use of Newton-type solution methods requires the solution of a system of non-symmetric linear equations to calculate each Newton step. This paper describes an inexact solution to the problem of calculating the Newton step.","PeriodicalId":389895,"journal":{"name":"2012 IEEE Conference on Control, Systems & Industrial Informatics","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127273399","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 : 2012-09-01DOI: 10.1109/CCSII.2012.6470471
A. Jalalimanesh
This paper introduces a novel methodology to extract core concepts from text corpus. This methodology is based on text mining and social network analysis. At the text mining phase the keywords are extracted by tokenizing, removing stop-lists and generating N-grams. Network analysis phase includes co-word occurrence extraction, network representation of linked terms and calculating centrality measure. We applied our methodology on a text corpus including 650 thesis titles in the domain of Industrial engineering. Interpreting enriched networks was interesting and gave us valuable knowledge about corpus content.
{"title":"Knowledge discovery in scientific databases using text mining and social network analysis","authors":"A. Jalalimanesh","doi":"10.1109/CCSII.2012.6470471","DOIUrl":"https://doi.org/10.1109/CCSII.2012.6470471","url":null,"abstract":"This paper introduces a novel methodology to extract core concepts from text corpus. This methodology is based on text mining and social network analysis. At the text mining phase the keywords are extracted by tokenizing, removing stop-lists and generating N-grams. Network analysis phase includes co-word occurrence extraction, network representation of linked terms and calculating centrality measure. We applied our methodology on a text corpus including 650 thesis titles in the domain of Industrial engineering. Interpreting enriched networks was interesting and gave us valuable knowledge about corpus content.","PeriodicalId":389895,"journal":{"name":"2012 IEEE Conference on Control, Systems & Industrial Informatics","volume":"08 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130929354","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 : 2012-09-01DOI: 10.1109/CCSII.2012.6470466
I. W. Jamaludin, N. Wahab, M. Rahmat, S. Sahlan
Subspace model identification (SMI) has been a highly interest of research topic in recent years. Subspace methods such as Multivariable Output Error State Space (MOESP) and Numerical algorithms for Subspace State Space System Identification (N4SID) algorithms are well known and often implemented especially for multivariable identification due to the use of robust numerical tools such as the QR decomposition and singular value decomposition (SVD). SMI algorithms are attractive not only because of their numerical stability and simplicity, but also for the state space form that is very suitable in estimating, predicting, filtering and control design. Several simulation studies for MOESP and N4SID algorithms performed in online version are presented. This paper focuses on computation time, order selection and the stability from both methods when performed online.
{"title":"Online subspace identification methods for MIMO model","authors":"I. W. Jamaludin, N. Wahab, M. Rahmat, S. Sahlan","doi":"10.1109/CCSII.2012.6470466","DOIUrl":"https://doi.org/10.1109/CCSII.2012.6470466","url":null,"abstract":"Subspace model identification (SMI) has been a highly interest of research topic in recent years. Subspace methods such as Multivariable Output Error State Space (MOESP) and Numerical algorithms for Subspace State Space System Identification (N4SID) algorithms are well known and often implemented especially for multivariable identification due to the use of robust numerical tools such as the QR decomposition and singular value decomposition (SVD). SMI algorithms are attractive not only because of their numerical stability and simplicity, but also for the state space form that is very suitable in estimating, predicting, filtering and control design. Several simulation studies for MOESP and N4SID algorithms performed in online version are presented. This paper focuses on computation time, order selection and the stability from both methods when performed online.","PeriodicalId":389895,"journal":{"name":"2012 IEEE Conference on Control, Systems & Industrial Informatics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131032887","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 : 2012-09-01DOI: 10.1109/CCSII.2012.6470493
M. Paulraj, S. Yaccob, A. H. Adom, C. Hema, Kamalraj Subramaniam
Auditory evoked potential (AEP) is a type of EEG signal emanated from the scalp of the brain by an acoustical stimulus. AEP response reflects the auditory ability level of an individual. In this paper, AEP signals were recorded by stimulating repetive click-sound of 1000 Hz at different stimulus intensity levels of 25 dB, 40 dB, 50 dB and 70 dB. Spectral entropy features of four distinct bands were extracted from the recorded AEP signal. The extracted features were associated to the hearing perception level of an individual and a neural network models was developed. The maximum classification accuracy of the developed neural network model was observed as 91.4 per cent in discriminating the specified stimulus intensity levels. From the result, it is clear that a different auditory stimuli level reflects corresponding hearing perception level of a person. This study might lead to a real-time practical system for non-invasively estimating the hearing perceptional level of a person.
{"title":"EEG based hearing perception level estimation for normal hearing persons","authors":"M. Paulraj, S. Yaccob, A. H. Adom, C. Hema, Kamalraj Subramaniam","doi":"10.1109/CCSII.2012.6470493","DOIUrl":"https://doi.org/10.1109/CCSII.2012.6470493","url":null,"abstract":"Auditory evoked potential (AEP) is a type of EEG signal emanated from the scalp of the brain by an acoustical stimulus. AEP response reflects the auditory ability level of an individual. In this paper, AEP signals were recorded by stimulating repetive click-sound of 1000 Hz at different stimulus intensity levels of 25 dB, 40 dB, 50 dB and 70 dB. Spectral entropy features of four distinct bands were extracted from the recorded AEP signal. The extracted features were associated to the hearing perception level of an individual and a neural network models was developed. The maximum classification accuracy of the developed neural network model was observed as 91.4 per cent in discriminating the specified stimulus intensity levels. From the result, it is clear that a different auditory stimuli level reflects corresponding hearing perception level of a person. This study might lead to a real-time practical system for non-invasively estimating the hearing perceptional level of a person.","PeriodicalId":389895,"journal":{"name":"2012 IEEE Conference on Control, Systems & Industrial Informatics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116152876","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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