Pub Date : 2006-06-07DOI: 10.1109/ICCIS.2006.252335
S. Bernaer, E. Burke, P. De Causmaecker, G. V. Berghe, T. Vermeulen
In this paper we present a multiagent system for communication in the transport sector. It is part of an 'intelligent communication platform for multi modal transport' that is called MamMoeT. The motivation for a communication platform stems from the observed need for support in maintaining evolving partnerships as well as for the establishment of new partnerships. We observed a lack of commonly accepted tools to obtain quantifiable and live information. Examples include the position of freight and vehicles, the expected arrival and waiting times as well as alternative routes and transport modes. We show that a multiagent system is appropriate for practical application. In the transport sector (which is distributed by nature) a system in which each logistic party has a representative autonomous agent matches the requirements better than one central information system would. Our system explicitly addresses the transparency and privacy issues in order to increase the level of acceptance of this type of software platform
{"title":"A Multi Agent System to Control Complexity in Multi Modal Transport","authors":"S. Bernaer, E. Burke, P. De Causmaecker, G. V. Berghe, T. Vermeulen","doi":"10.1109/ICCIS.2006.252335","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252335","url":null,"abstract":"In this paper we present a multiagent system for communication in the transport sector. It is part of an 'intelligent communication platform for multi modal transport' that is called MamMoeT. The motivation for a communication platform stems from the observed need for support in maintaining evolving partnerships as well as for the establishment of new partnerships. We observed a lack of commonly accepted tools to obtain quantifiable and live information. Examples include the position of freight and vehicles, the expected arrival and waiting times as well as alternative routes and transport modes. We show that a multiagent system is appropriate for practical application. In the transport sector (which is distributed by nature) a system in which each logistic party has a representative autonomous agent matches the requirements better than one central information system would. Our system explicitly addresses the transparency and privacy issues in order to increase the level of acceptance of this type of software platform","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129354964","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 : 2006-06-07DOI: 10.1109/ICCIS.2006.252280
Shawn Hu, Wei-Yong Yan
This paper is concerned with stability analysis of discrete-time networked control systems under a multiple-packet transmission policy. The packet dropping probability of the communication network is assumed to be known, or bounded by a given constant. Necessary and sufficient conditions for stability are obtained for the above two cases. For the second case, a formula is derived for a measure of the robustness of a system against packet dropping, termed packet dropping margin. A design method is proposed for improving the margin subject to the constraint that the system has a set of prescribed nominal closed-loop poles
{"title":"Stability of Networked Control Systems Subject to a Multiple-packet Transmission Policy","authors":"Shawn Hu, Wei-Yong Yan","doi":"10.1109/ICCIS.2006.252280","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252280","url":null,"abstract":"This paper is concerned with stability analysis of discrete-time networked control systems under a multiple-packet transmission policy. The packet dropping probability of the communication network is assumed to be known, or bounded by a given constant. Necessary and sufficient conditions for stability are obtained for the above two cases. For the second case, a formula is derived for a measure of the robustness of a system against packet dropping, termed packet dropping margin. A design method is proposed for improving the margin subject to the constraint that the system has a set of prescribed nominal closed-loop poles","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128667276","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 : 2006-06-07DOI: 10.1109/ICCIS.2006.252294
K. Santosh, C. Nattee
The writing units vary in writer independent unconstrained handwriting (for example, number of strokes, shape, size, order, and speed etc.). Many algorithms were developed to improve the accuracy of the handwriting recognition system in both statistical and structural approaches on real-time databases, from which researchers still are not satisfied. We propose to use structural properties of the feature vector sequences of strokes of variable writing units by using dynamic programming (DP). This paper focuses on dynamic time warping (DTW) as a global distance calculation along with the use of local distance metric between two real-time feature vector sequences of strokes and is followed by robust agglomerative hierarchical clustering to produce sensible clusters, which have intrinsic characteristics. We are utilizing feature vector sequences of strokes for both training and testing our recognition system. We work with 20 users and experiment on 36 classes of writer independent real-time Nepalese natural handwritten characters onto our dynamic recognition system stroke by stroke basis and achieve considerable performance
{"title":"Structural Approach on Writer Independent Nepalese Natural Handwriting Recognition","authors":"K. Santosh, C. Nattee","doi":"10.1109/ICCIS.2006.252294","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252294","url":null,"abstract":"The writing units vary in writer independent unconstrained handwriting (for example, number of strokes, shape, size, order, and speed etc.). Many algorithms were developed to improve the accuracy of the handwriting recognition system in both statistical and structural approaches on real-time databases, from which researchers still are not satisfied. We propose to use structural properties of the feature vector sequences of strokes of variable writing units by using dynamic programming (DP). This paper focuses on dynamic time warping (DTW) as a global distance calculation along with the use of local distance metric between two real-time feature vector sequences of strokes and is followed by robust agglomerative hierarchical clustering to produce sensible clusters, which have intrinsic characteristics. We are utilizing feature vector sequences of strokes for both training and testing our recognition system. We work with 20 users and experiment on 36 classes of writer independent real-time Nepalese natural handwritten characters onto our dynamic recognition system stroke by stroke basis and achieve considerable performance","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115341712","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 : 2006-06-07DOI: 10.1109/ICCIS.2006.252231
R. Wai, Ching-Hsiang Tu, Zhiwei Yang
This paper presents a Lyapunov-based genetic algorithm control (LGAC) system for a linear piezoelectric ceramic motor (LPCM) driven by a hybrid resonant inverter. Since the dynamic characteristics and motor parameters of the LPCM are highly nonlinear and time varying, an LGAC system via backstepping design technique is therefore investigated based on direction-based genetic algorithm to achieve high-precision position control. In this control scheme, a genetic algorithm (GA) control system is utilized to be the major controller, and adaptation laws derived from Lyapunov stability analyses are manipulated to adjust appropriate evolutionary steps. Moreover, the system stability can be guaranteed directly without strict constraint conditions and detailed system knowledge. In addition, the effectiveness of the proposed control system is verified by numerical simulations in the presence of uncertainties
{"title":"Lyapunov-based Genetic Algorithm Controlled Linear Piezoelectric Ceramic Motor Drive","authors":"R. Wai, Ching-Hsiang Tu, Zhiwei Yang","doi":"10.1109/ICCIS.2006.252231","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252231","url":null,"abstract":"This paper presents a Lyapunov-based genetic algorithm control (LGAC) system for a linear piezoelectric ceramic motor (LPCM) driven by a hybrid resonant inverter. Since the dynamic characteristics and motor parameters of the LPCM are highly nonlinear and time varying, an LGAC system via backstepping design technique is therefore investigated based on direction-based genetic algorithm to achieve high-precision position control. In this control scheme, a genetic algorithm (GA) control system is utilized to be the major controller, and adaptation laws derived from Lyapunov stability analyses are manipulated to adjust appropriate evolutionary steps. Moreover, the system stability can be guaranteed directly without strict constraint conditions and detailed system knowledge. In addition, the effectiveness of the proposed control system is verified by numerical simulations in the presence of uncertainties","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114852932","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 : 2006-06-07DOI: 10.1109/ICCIS.2006.252252
N. Abdul Manaf, M. R. Beikzadeh
This paper proposes a model for fuzzy temporal knowledge representation and reasoning. It includes the frameworks that incorporate fuzziness with temporal intervals, representation of the knowledge and reasoning qualitatively and quantitatively. An interval-based fuzzy membership representation is defined as an extension to the precise temporal interval. To deal with planning and scheduling in this framework, a simple decision problem is shown
{"title":"Representation and Reasoning of Fuzzy Temporal Knowledge","authors":"N. Abdul Manaf, M. R. Beikzadeh","doi":"10.1109/ICCIS.2006.252252","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252252","url":null,"abstract":"This paper proposes a model for fuzzy temporal knowledge representation and reasoning. It includes the frameworks that incorporate fuzziness with temporal intervals, representation of the knowledge and reasoning qualitatively and quantitatively. An interval-based fuzzy membership representation is defined as an extension to the precise temporal interval. To deal with planning and scheduling in this framework, a simple decision problem is shown","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114917355","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 : 2006-06-07DOI: 10.1109/ICCIS.2006.252349
A. Kulatunga, D. Liu, G. Dissanayake, S. Siyambalapitiya
This paper applies a meta-heuristic based ant colony optimization (ACO) technique for simultaneous task allocation and path planning of automated guided vehicles (AGV) in material handling. ACO algorithm allocates tasks to AGVs based on collision free path obtained by a proposed path and motion planning algorithm. The validity of this approach is investigated by applying it to different task and AGV combinations which have different initial settings. For small combinations, i.e. small number of tasks and vehicles, the quality of the ACO solution is compared against the optimal results obtained from exhaustive search mechanism. This approach has shown near optimal results. For larger combinations, ACO solutions are compared with simulated annealing algorithm which is another commonly used meta-heuristic approach. The results show that ACO solutions have slightly better performance than that of simulated annealing algorithm
{"title":"Ant Colony Optimization based Simultaneous Task Allocation and Path Planning of Autonomous Vehicles","authors":"A. Kulatunga, D. Liu, G. Dissanayake, S. Siyambalapitiya","doi":"10.1109/ICCIS.2006.252349","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252349","url":null,"abstract":"This paper applies a meta-heuristic based ant colony optimization (ACO) technique for simultaneous task allocation and path planning of automated guided vehicles (AGV) in material handling. ACO algorithm allocates tasks to AGVs based on collision free path obtained by a proposed path and motion planning algorithm. The validity of this approach is investigated by applying it to different task and AGV combinations which have different initial settings. For small combinations, i.e. small number of tasks and vehicles, the quality of the ACO solution is compared against the optimal results obtained from exhaustive search mechanism. This approach has shown near optimal results. For larger combinations, ACO solutions are compared with simulated annealing algorithm which is another commonly used meta-heuristic approach. The results show that ACO solutions have slightly better performance than that of simulated annealing algorithm","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126994615","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 : 2006-06-07DOI: 10.1109/ICCIS.2006.252338
T. Ganjanasuwan, C. Sanrach
This paper studies the research in the area of multi-agent, instructional resource planning and enterprise eLearning management system, which resulted in the development of the II-RPS. This paper also introduces how a multi-agent instructional resource planning process can be modeled, constructed, explored and explained. It is not only to promote the automatic learning process through a systematic framework of instructional resource planning, but also to increase the performance of courseware production and to highly benefit the pioneer who uses this approach
{"title":"Multi-Agent Instructional Resource Planning","authors":"T. Ganjanasuwan, C. Sanrach","doi":"10.1109/ICCIS.2006.252338","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252338","url":null,"abstract":"This paper studies the research in the area of multi-agent, instructional resource planning and enterprise eLearning management system, which resulted in the development of the II-RPS. This paper also introduces how a multi-agent instructional resource planning process can be modeled, constructed, explored and explained. It is not only to promote the automatic learning process through a systematic framework of instructional resource planning, but also to increase the performance of courseware production and to highly benefit the pioneer who uses this approach","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127272893","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 : 2006-06-07DOI: 10.1109/ICCIS.2006.252227
M. Mosavi, M. Mirzaeepour, H. Nabavi
This paper presents an accurate DGPS land vehicle navigation system using a multilayered neural network (NN) based on the extended Kalman filter (EKF). The network setup is developed based on a mathematical model to avoid excessive training. The proposed method uses an EKF training rule, which achieves the optimal training criterion. The NN predicts the DGPS corrections for accurate positioning. The proposed method is suitable for DGPS systems sampled at different rates. The experimental results on collected real data demonstrate the suitability of this method in developing an accurate DGPS land vehicle navigation method. The experiments show that the prediction total RMS error is less than 1.65m and 0.67m, before and after SA, respectively. Also, tests with real data demonstrate that the prediction accuracy is better than 1.1m for 10 second prediction and 1.9m for 30 second prediction, respectively, which can maintain the vehicle navigation in the required accuracy for a period of 30 seconds
{"title":"Extrapolative Model of DGPS Corrections using a Multilayered Neural Network Based on the Extended Kalman Filter","authors":"M. Mosavi, M. Mirzaeepour, H. Nabavi","doi":"10.1109/ICCIS.2006.252227","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252227","url":null,"abstract":"This paper presents an accurate DGPS land vehicle navigation system using a multilayered neural network (NN) based on the extended Kalman filter (EKF). The network setup is developed based on a mathematical model to avoid excessive training. The proposed method uses an EKF training rule, which achieves the optimal training criterion. The NN predicts the DGPS corrections for accurate positioning. The proposed method is suitable for DGPS systems sampled at different rates. The experimental results on collected real data demonstrate the suitability of this method in developing an accurate DGPS land vehicle navigation method. The experiments show that the prediction total RMS error is less than 1.65m and 0.67m, before and after SA, respectively. Also, tests with real data demonstrate that the prediction accuracy is better than 1.1m for 10 second prediction and 1.9m for 30 second prediction, respectively, which can maintain the vehicle navigation in the required accuracy for a period of 30 seconds","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"42 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123402997","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 : 2006-06-07DOI: 10.1109/ICCIS.2006.252308
Aba. Rahim, J. Teo, A. Saudi
This paper presents an evolving swarm system of flying agents simulated as a collective intelligence within the Breve auto-constructive artificial life environment. The behavior of each agent is governed by genetically evolved program codes expressed in the Push programming language. There are two objectives in this paper, that is to investigate the effects of firstly code size limit and secondly two different versions of the Push genetic programming language on the auto-constructive evolution of artificial life. We investigated these genetic programming code elements on reproductive competence using a measure based on the self-sustainability of the population. Self-sustainability is the point in time when the current population's agents are able to reproduce enough offspring to maintain the minimum population size without any new agents being randomly injected from the system. From the results, we found that the Push2 implementation showed slightly better evolvability than Push3 in terms of achieving self-sufficiency. In terms of code size limit, the reproductive competence of the collective swarm was affected quite significantly at certain parameter settings
{"title":"An Empirical Comparison of Code Size Limit in Auto-Constructive Artificial Life","authors":"Aba. Rahim, J. Teo, A. Saudi","doi":"10.1109/ICCIS.2006.252308","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252308","url":null,"abstract":"This paper presents an evolving swarm system of flying agents simulated as a collective intelligence within the Breve auto-constructive artificial life environment. The behavior of each agent is governed by genetically evolved program codes expressed in the Push programming language. There are two objectives in this paper, that is to investigate the effects of firstly code size limit and secondly two different versions of the Push genetic programming language on the auto-constructive evolution of artificial life. We investigated these genetic programming code elements on reproductive competence using a measure based on the self-sustainability of the population. Self-sustainability is the point in time when the current population's agents are able to reproduce enough offspring to maintain the minimum population size without any new agents being randomly injected from the system. From the results, we found that the Push2 implementation showed slightly better evolvability than Push3 in terms of achieving self-sufficiency. In terms of code size limit, the reproductive competence of the collective swarm was affected quite significantly at certain parameter settings","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124658087","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 : 2006-06-07DOI: 10.1109/ICCIS.2006.252364
P. Praneetpolgrang, U. Poprom, P. Kitratporn
This research was conducted with three objectives: 1) evaluated the effectiveness of informatics management or ICT management of public universities in Thailand which based on balanced scorecard (BSC), 2) created key performance indicators (KPIs) of informatics developing, and 3) developed a new informatics strategic model (or ICT strategic model) for informatics management. This was to confirm that informatics could give an extreme benefit to universities and stakeholders. This proposed model provided some guidelines to improve investment and worthwhile informatics governance. In order to reach these objectives, qualitative and quantitative research methodologies were approached. The researchers investigated on 40 public universities in Thailand as a case study. The findings of this research showed how universities have been developing informatics as strategic management and the efficiency of informatics management. Further more, the specific KPIs have been created to measure and follow up the use of informatics. Then, the proposed informatics strategic model could apply to other public organizations
{"title":"The Performance Assessment on Universities' Informatics using Balanced Scorecard","authors":"P. Praneetpolgrang, U. Poprom, P. Kitratporn","doi":"10.1109/ICCIS.2006.252364","DOIUrl":"https://doi.org/10.1109/ICCIS.2006.252364","url":null,"abstract":"This research was conducted with three objectives: 1) evaluated the effectiveness of informatics management or ICT management of public universities in Thailand which based on balanced scorecard (BSC), 2) created key performance indicators (KPIs) of informatics developing, and 3) developed a new informatics strategic model (or ICT strategic model) for informatics management. This was to confirm that informatics could give an extreme benefit to universities and stakeholders. This proposed model provided some guidelines to improve investment and worthwhile informatics governance. In order to reach these objectives, qualitative and quantitative research methodologies were approached. The researchers investigated on 40 public universities in Thailand as a case study. The findings of this research showed how universities have been developing informatics as strategic management and the efficiency of informatics management. Further more, the specific KPIs have been created to measure and follow up the use of informatics. Then, the proposed informatics strategic model could apply to other public organizations","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128228249","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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