Pub Date : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622263
John N. Milner, D. Hsu
We present that combinatorial fusion analysis (CFA) can improve results in a music information retrieval (MIR) task, specifically querying a database of recorded music by singing, humming, or whistling. Our experiment considers 10 scoring systems, 55 queries, and a database of 310 original artists' recordings. Through the use of spectral subtraction, we exploit the recording industry's tradition of placing the lead vocal and other prominent melodic features in the center of a stereo mix. We employ the rank/score function previously defined in other studies of CFA to analyze the behavior of scoring systems, and we use the rank/score variation to quantify the diversity of any two scoring systems. We then observe that successful 2-combinations, i.e. cases where the performance of a combination meets or exceeds the performance of its constituent scoring systems, tend to occur when each system performs relatively well and the systems are diverse.
{"title":"Music retrieval by singing and humming using information fusion","authors":"John N. Milner, D. Hsu","doi":"10.1109/ICCI-CC.2013.6622263","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622263","url":null,"abstract":"We present that combinatorial fusion analysis (CFA) can improve results in a music information retrieval (MIR) task, specifically querying a database of recorded music by singing, humming, or whistling. Our experiment considers 10 scoring systems, 55 queries, and a database of 310 original artists' recordings. Through the use of spectral subtraction, we exploit the recording industry's tradition of placing the lead vocal and other prominent melodic features in the center of a stereo mix. We employ the rank/score function previously defined in other studies of CFA to analyze the behavior of scoring systems, and we use the rank/score variation to quantify the diversity of any two scoring systems. We then observe that successful 2-combinations, i.e. cases where the performance of a combination meets or exceeds the performance of its constituent scoring systems, tend to occur when each system performs relatively well and the systems are diverse.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130636173","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 : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622273
Paweł Drozda, Przemyslaw Górecki, Krzysztof Sopyla, Piotr Artiemjew
In recent years, the field of image processing has been gaining a growing interest in many scientific domains. In this paper, the attention is focused on one of the fundamental image processing problems, that is image classification. In particular, the novel approach of bridging content based image retrieval and sequence alignment domains was introduced. For this purpose, the dense version of the SIFT key point descriptor, k-means for visual dictionary construction and the Needleman-Wunsch method for sequence alignment were implemented. The performed experiments, which evaluated the classification accuracy, showed the great potential of the proposed solution indicating new directions for development of new image classification algorithms.
{"title":"Visual words sequence alignment for image classification","authors":"Paweł Drozda, Przemyslaw Górecki, Krzysztof Sopyla, Piotr Artiemjew","doi":"10.1109/ICCI-CC.2013.6622273","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622273","url":null,"abstract":"In recent years, the field of image processing has been gaining a growing interest in many scientific domains. In this paper, the attention is focused on one of the fundamental image processing problems, that is image classification. In particular, the novel approach of bridging content based image retrieval and sequence alignment domains was introduced. For this purpose, the dense version of the SIFT key point descriptor, k-means for visual dictionary construction and the Needleman-Wunsch method for sequence alignment were implemented. The performed experiments, which evaluated the classification accuracy, showed the great potential of the proposed solution indicating new directions for development of new image classification algorithms.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114437506","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 : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622266
Jun Yi, Jun Peng, Taifu Li, Lizhong Yao, Wenjing Hu
A tasks assignment algorithm based on entropy assessment model is proposed to solve the so-called “hot zone” problem that nodes in the hot spot area deplete faster their energy and die much faster than faraway cluster heads due to the many-to-one traffic paradigm in the entire wireless sensor network. The cost assessment model of taking action based on entropy is established by using auction method to balance node's energy consumption. Considering network situation, a balanced or non-balanced task assignment optimization problem is formulated to prolong network lifetime and avoid energy hole that may lead to serious connectivity and coverage problems. The result of simulation shows that the algorithm could provide more balance in energy consumption and higher real-time performance. We also show that network can achieve longer lifetime by using the method.
{"title":"A tasks assignment algorithm based on entropy assessment model for wireless sensor and actor networks","authors":"Jun Yi, Jun Peng, Taifu Li, Lizhong Yao, Wenjing Hu","doi":"10.1109/ICCI-CC.2013.6622266","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622266","url":null,"abstract":"A tasks assignment algorithm based on entropy assessment model is proposed to solve the so-called “hot zone” problem that nodes in the hot spot area deplete faster their energy and die much faster than faraway cluster heads due to the many-to-one traffic paradigm in the entire wireless sensor network. The cost assessment model of taking action based on entropy is established by using auction method to balance node's energy consumption. Considering network situation, a balanced or non-balanced task assignment optimization problem is formulated to prolong network lifetime and avoid energy hole that may lead to serious connectivity and coverage problems. The result of simulation shows that the algorithm could provide more balance in energy consumption and higher real-time performance. We also show that network can achieve longer lifetime by using the method.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"411 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133569172","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 : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622269
L. Qiang, Yi Jun
Focused on the properties and behavior of the demand agent, supply agent and research agent by virtue of multi-agent modeling theory and examined the impact of research achievement transaction cost on the industrial intensity during industry evolution.The simulation results show that with the transaction cost reduction, periodicity of industrial intensity decreases gradually. When the transaction cost is reduced to a certain extent, the periodicity is superseded by volatility.
{"title":"The industry evolution simulation model based on multi-agent theory","authors":"L. Qiang, Yi Jun","doi":"10.1109/ICCI-CC.2013.6622269","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622269","url":null,"abstract":"Focused on the properties and behavior of the demand agent, supply agent and research agent by virtue of multi-agent modeling theory and examined the impact of research achievement transaction cost on the industrial intensity during industry evolution.The simulation results show that with the transaction cost reduction, periodicity of industrial intensity decreases gradually. When the transaction cost is reduced to a certain extent, the periodicity is superseded by volatility.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133990667","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 : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622279
F. Mizoguchi, Hiroyuki Nishiyama
In this study, we design a cognitive-support system for automatic skin diagnosis using a tablet PC. The system enables automatic imaging of the skin in order to perform ongoing diagnostics on the user's skin when he or she operates a tablet PC daily. The tablet PC camera detects and photographs the user's face during tablet use. The system periodically stores diagnostic results by extracting the skin region from an image that has been captured and skin imaged. In addition, we enable determining by applying a learning system using a support-vector machine. With this system, the user can develop a long-term ability to identify and manage the state of the skin. This could ultimately lead to a system that enables personal health care.
{"title":"Design of a cognitive-support system for automatic skin diagnosis using a tablet PC","authors":"F. Mizoguchi, Hiroyuki Nishiyama","doi":"10.1109/ICCI-CC.2013.6622279","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622279","url":null,"abstract":"In this study, we design a cognitive-support system for automatic skin diagnosis using a tablet PC. The system enables automatic imaging of the skin in order to perform ongoing diagnostics on the user's skin when he or she operates a tablet PC daily. The tablet PC camera detects and photographs the user's face during tablet use. The system periodically stores diagnostic results by extracting the skin region from an image that has been captured and skin imaged. In addition, we enable determining by applying a learning system using a support-vector machine. With this system, the user can develop a long-term ability to identify and manage the state of the skin. This could ultimately lead to a system that enables personal health care.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125070718","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 : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622272
Pita Jarupunphol, C. Thomborson
Cognitive Informatics (CI) is a transdisciplinary approach to the cognitive and information sciences, emphasising the informational aspects of cognitive processes, with applications in the engineering of complex systems. Human cognition is a transcultural phenomeon, however to date all contributions to CI have been based on Western philosophy and science. In this article, we indicate how some of the fundamental concepts in Buddhist epistemology may be modeled in the CI framework. In particular: we develop a logical specification, in the Z notation, of cognitive processes which occur at levels 1 through 4 of the Layered Reference Model of the Brain (LRMB). We call these processes the Dhammic Framework. As with any axiomatic system, the validity of the Dhammic Framework cannot be proved by experimentation; but it could be invalidated if any of its implications were either logically inconsistent or in disagreement with experimental observation. Our formal statement of the Dhammic Framework will allow its axioms to be tested, scientifically, for contradiction within the framework of cognitive informatics. To this end, we propose a testable hypothesis about a way to avoid failures in systems engineering.
{"title":"The dhammic framework for understanding the cause of system project failures from Buddhist insights","authors":"Pita Jarupunphol, C. Thomborson","doi":"10.1109/ICCI-CC.2013.6622272","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622272","url":null,"abstract":"Cognitive Informatics (CI) is a transdisciplinary approach to the cognitive and information sciences, emphasising the informational aspects of cognitive processes, with applications in the engineering of complex systems. Human cognition is a transcultural phenomeon, however to date all contributions to CI have been based on Western philosophy and science. In this article, we indicate how some of the fundamental concepts in Buddhist epistemology may be modeled in the CI framework. In particular: we develop a logical specification, in the Z notation, of cognitive processes which occur at levels 1 through 4 of the Layered Reference Model of the Brain (LRMB). We call these processes the Dhammic Framework. As with any axiomatic system, the validity of the Dhammic Framework cannot be proved by experimentation; but it could be invalidated if any of its implications were either logically inconsistent or in disagreement with experimental observation. Our formal statement of the Dhammic Framework will allow its axioms to be tested, scientifically, for contradiction within the framework of cognitive informatics. To this end, we propose a testable hypothesis about a way to avoid failures in systems engineering.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124176365","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 : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622268
Xianrong Liu, W. Ye, Jun-ling Yang
This article design a kind of programmable vehicle body control system, make the control system of vehicle body have flexibility and common ability. Have design the instructions that can be programmed according to the upper computer, has finished the download, decoding of the instructions. Proved finally, it can adapt to different vehicle type, meet different customers' demands, and facilitate the after-sale service of the vehicle.
{"title":"The research of programmable vehicle body control system","authors":"Xianrong Liu, W. Ye, Jun-ling Yang","doi":"10.1109/ICCI-CC.2013.6622268","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622268","url":null,"abstract":"This article design a kind of programmable vehicle body control system, make the control system of vehicle body have flexibility and common ability. Have design the instructions that can be programmed according to the upper computer, has finished the download, decoding of the instructions. Proved finally, it can adapt to different vehicle type, meet different customers' demands, and facilitate the after-sale service of the vehicle.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129074420","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 : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622288
S. Konno, S. Fujita
A virtual space has been studied. Various kinds of human activities in the real society can be done to a virtual space. As one of concepts of the virtual space, a concept of Human-Agent Symbiotic Space was proposed to develop a well-supported virtual space. We are developing a virtual office, which is a virtual environment to support activities of distributed office workers. In this paper, we discuss a view model of agents to develop user interface system among persons in the real society and agents in the agent society to realize Human-Agent Symbiotic Space.
{"title":"Agent-based interface for a 3D virtual office space","authors":"S. Konno, S. Fujita","doi":"10.1109/ICCI-CC.2013.6622288","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622288","url":null,"abstract":"A virtual space has been studied. Various kinds of human activities in the real society can be done to a virtual space. As one of concepts of the virtual space, a concept of Human-Agent Symbiotic Space was proposed to develop a well-supported virtual space. We are developing a virtual office, which is a virtual environment to support activities of distributed office workers. In this paper, we discuss a view model of agents to develop user interface system among persons in the real society and agents in the agent society to realize Human-Agent Symbiotic Space.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127875642","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 : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622217
Yingxu Wang
Summary form only given. A fundamental challenge for almost all scientific disciplines is to explain how natural intelligence is generated by physiological organs and what the logical model of the brain is beyond its neural architectures. According to cognitive informatics and abstract intelligence, the exploration of the brain is a complicated recursive problem where contemporary denotational mathematics is needed to efficiently deal with it. Cognitive psychology and medical science were used to explain that the brain works in a certain way based on empirical observations on related activities in usually overlapped brain areas. However, the lack of precise models and rigorous causality in brain studies has dissatisfied the formal expectations of researchers in computational intelligence and mathematics, because a computer, the logical counterpart of the brain, might not be explained in such a vague and empirical approach without the support of formal models and rigorous means. In order to fonnally explain the architectures and functions of the brain, as well as their intricate relations and interactions, systematic models of t he brain are s ought for revealing the principles and mechanisms of the brain at the neural, physiological, cognitive, and logical (abstract) levels. Cognitive and brain informatics investigate into the brain via not only inductive syntheses through these four cognitive levels from the bottom up in order to form theories based on empirical observations, but also deductive analyses from the top down in order to explain various functional and behavioral instances according to the abstract intelligence theory. This keynote lecture presents systematic models of the brain from the facets of cognitive informatics, abstract intelligence, brain Informatics, neuroinformatics, and cognitive psychology. A logical model of the brain is introduced that maps the cognitive functions of the brain onto its neural and physiological architectures. This work leads to a coherent abstract intelligence theory based on both denotational mathematical models and cognitive psychology observations, which rigorously explains the underpinning principles and mechanisms of the brain. On the basis of the abstract intelligence theories and the logical models of the brain, a comprehensive set of cognitive behaviors as identified in the Layered Reference Model of the Brain (LRMB) such as perception, inference and learning can be rigorously explained and simulated.The logical model of the brain and the abstract intelligence theory of natural intelligence will enable the development of cognitive computers that perceive, think and learn. The functional and theoretical difference between cognitive computers and classic computers are that the latter are data processors based on Boolean algebra and its logical counterparts; while the former are knowledge processors based on contemporary denotational mathematics. A wide range of applications of cognitive computers
{"title":"Basic theories for neuroinformatics and neurocomputing","authors":"Yingxu Wang","doi":"10.1109/ICCI-CC.2013.6622217","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622217","url":null,"abstract":"Summary form only given. A fundamental challenge for almost all scientific disciplines is to explain how natural intelligence is generated by physiological organs and what the logical model of the brain is beyond its neural architectures. According to cognitive informatics and abstract intelligence, the exploration of the brain is a complicated recursive problem where contemporary denotational mathematics is needed to efficiently deal with it. Cognitive psychology and medical science were used to explain that the brain works in a certain way based on empirical observations on related activities in usually overlapped brain areas. However, the lack of precise models and rigorous causality in brain studies has dissatisfied the formal expectations of researchers in computational intelligence and mathematics, because a computer, the logical counterpart of the brain, might not be explained in such a vague and empirical approach without the support of formal models and rigorous means. In order to fonnally explain the architectures and functions of the brain, as well as their intricate relations and interactions, systematic models of t he brain are s ought for revealing the principles and mechanisms of the brain at the neural, physiological, cognitive, and logical (abstract) levels. Cognitive and brain informatics investigate into the brain via not only inductive syntheses through these four cognitive levels from the bottom up in order to form theories based on empirical observations, but also deductive analyses from the top down in order to explain various functional and behavioral instances according to the abstract intelligence theory. This keynote lecture presents systematic models of the brain from the facets of cognitive informatics, abstract intelligence, brain Informatics, neuroinformatics, and cognitive psychology. A logical model of the brain is introduced that maps the cognitive functions of the brain onto its neural and physiological architectures. This work leads to a coherent abstract intelligence theory based on both denotational mathematical models and cognitive psychology observations, which rigorously explains the underpinning principles and mechanisms of the brain. On the basis of the abstract intelligence theories and the logical models of the brain, a comprehensive set of cognitive behaviors as identified in the Layered Reference Model of the Brain (LRMB) such as perception, inference and learning can be rigorously explained and simulated.The logical model of the brain and the abstract intelligence theory of natural intelligence will enable the development of cognitive computers that perceive, think and learn. The functional and theoretical difference between cognitive computers and classic computers are that the latter are data processors based on Boolean algebra and its logical counterparts; while the former are knowledge processors based on contemporary denotational mathematics. A wide range of applications of cognitive computers ","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117099471","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 : 2013-07-16DOI: 10.1109/ICCI-CC.2013.6622245
Sahib Jan, Jia Wang, A. Schwering, Malumbo Chipofya
Sketch maps are externalizations of cognitive maps which are typically distorted, schematized, incomplete, and generalized. Processing spatial information from sketch maps automatically requires reliable formalizations which are not subject to schematization, distortion or other cognitive effects in sketch maps. Based on previous empirical work, we identified different sketch aspects such as ordering, topology and orientation to align and integrate information from sketch maps with metric maps qualitatively. This research addresses the question how these qualitative sketch aspects can be formalized for a computational approach for sketch map alignment. In this study, we focus on the ordering aspect: ordering of landmarks and street segments along routes and around junctions. We first investigate different qualitative representations and propose suitable representations to formalize these aspects. The proposed representations capture qualitative relations between spatial objects in the form of qualitative constraints networks. We then evaluate the proposed representations by testing the accuracy of qualitative constraints between sketched objects and their corresponding objects in a metric map. Results of the evaluation show that the proposed representations are suitable for the alignment of spatial objects from sketch maps with metric maps.
{"title":"Ordering: A reliable qualitative information for the alignment of sketch and metric maps","authors":"Sahib Jan, Jia Wang, A. Schwering, Malumbo Chipofya","doi":"10.1109/ICCI-CC.2013.6622245","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622245","url":null,"abstract":"Sketch maps are externalizations of cognitive maps which are typically distorted, schematized, incomplete, and generalized. Processing spatial information from sketch maps automatically requires reliable formalizations which are not subject to schematization, distortion or other cognitive effects in sketch maps. Based on previous empirical work, we identified different sketch aspects such as ordering, topology and orientation to align and integrate information from sketch maps with metric maps qualitatively. This research addresses the question how these qualitative sketch aspects can be formalized for a computational approach for sketch map alignment. In this study, we focus on the ordering aspect: ordering of landmarks and street segments along routes and around junctions. We first investigate different qualitative representations and propose suitable representations to formalize these aspects. The proposed representations capture qualitative relations between spatial objects in the form of qualitative constraints networks. We then evaluate the proposed representations by testing the accuracy of qualitative constraints between sketched objects and their corresponding objects in a metric map. Results of the evaluation show that the proposed representations are suitable for the alignment of spatial objects from sketch maps with metric maps.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"95 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114002308","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：