Pub Date : 2013-06-16DOI: 10.1109/ICIS.2013.6607838
S. Soshnikov, Carl Lee, S. Vladimirov
The infant mortality has been declining in the recent decades globally. However, it continues to be an international concern. The issues are not only on what types of diseases or incidents leading to the infant death for individual cases, but also on what factors; social, economic, environment, education and other; are associated with infant mortality in the society. In this study, we collect infant mortality data along with over 100 variables using region as the sampling unit in Russia to investigate potential factors that may have significant association with infant mortality in Russia. Our purpose has two folds. First is to address the issues of data quality and the selection of modeling methodology for observational studies in general. Second is to identify possible important factors associated with infant mortality in Russia. We conclude with a discussion of pitfalls and cautions when applying predictive modeling techniques in observational studies.
{"title":"A modeling approach to identify factors associated with infant mortality in Russia","authors":"S. Soshnikov, Carl Lee, S. Vladimirov","doi":"10.1109/ICIS.2013.6607838","DOIUrl":"https://doi.org/10.1109/ICIS.2013.6607838","url":null,"abstract":"The infant mortality has been declining in the recent decades globally. However, it continues to be an international concern. The issues are not only on what types of diseases or incidents leading to the infant death for individual cases, but also on what factors; social, economic, environment, education and other; are associated with infant mortality in the society. In this study, we collect infant mortality data along with over 100 variables using region as the sampling unit in Russia to investigate potential factors that may have significant association with infant mortality in Russia. Our purpose has two folds. First is to address the issues of data quality and the selection of modeling methodology for observational studies in general. Second is to identify possible important factors associated with infant mortality in Russia. We conclude with a discussion of pitfalls and cautions when applying predictive modeling techniques in observational studies.","PeriodicalId":345020,"journal":{"name":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125354105","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 : 2013-06-16DOI: 10.1109/ICIS.2013.6607846
Y. Tanimura, Johan Sveholm, K. Sasai, G. Kitagata, Tetsuo Kinoshita
After the 2011 earthquake off the Pacific coast of Tohoku, the importance of network services, like IP phone and e-mail, as a mean of communication in an emergency was hugely increased, but are likely to be discontinued in these situations. If that happens, network administrators have to repair the network and restart the services promptly. It is desirable that novice administrators also take part in network recovery operations, because expert administrators are not always stationed all day long. In this paper, we propose a knowledge-based support method for autonomous service operations in emergency situations. We use the Active Information Resource based Network Management System (AIR-NMS) to reduce the burden on administrators and to enable even novice administrators to operate network services. Finally, we show the effectiveness of the proposed method through experiments using a prototype system.
{"title":"A knowledge-based support method for autonomous service operations after disasters","authors":"Y. Tanimura, Johan Sveholm, K. Sasai, G. Kitagata, Tetsuo Kinoshita","doi":"10.1109/ICIS.2013.6607846","DOIUrl":"https://doi.org/10.1109/ICIS.2013.6607846","url":null,"abstract":"After the 2011 earthquake off the Pacific coast of Tohoku, the importance of network services, like IP phone and e-mail, as a mean of communication in an emergency was hugely increased, but are likely to be discontinued in these situations. If that happens, network administrators have to repair the network and restart the services promptly. It is desirable that novice administrators also take part in network recovery operations, because expert administrators are not always stationed all day long. In this paper, we propose a knowledge-based support method for autonomous service operations in emergency situations. We use the Active Information Resource based Network Management System (AIR-NMS) to reduce the burden on administrators and to enable even novice administrators to operate network services. Finally, we show the effectiveness of the proposed method through experiments using a prototype system.","PeriodicalId":345020,"journal":{"name":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116024269","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 : 2013-06-16DOI: 10.1109/ICIS.2013.6607825
H. Yanagimoto, Mika Shimada, Akane Yoshimura
It is important to classify documents according to their contents because of finding necessary documents efficiently. To achieve good classification document similarity estimation is one of key techniques since classification is executed based on the document similarity. In natural language processing bag-of-words model is used to extract features from documents and term occurrence frequency based value is used as a weight of each features. However, the term weight methodologies usually use predefined models and include some limitations. New approaches to construct feature vectors based on data distribution are desired to achieve high performance of natural language processing. These days many researchers pay attention to deep learning. Deep learning is a new approach to transform raw data to feature vectors using many unlabeled data. This characteristics is desirable to satisfy a previous need. In natural language processing a main aim is to construct a language model on a deep architecture neural network. In this paper we use a deep architecture neural network to estimate document similarity. To obtain good article similarity estimation we have to generate good article vectors that can represent all article characteristics. Hence, we use many stock market news to train the deep architecture neural network and generate article vectors with the trained neural network. And we calculate cosine similarity between labeled articles and discuss performance of the deep architecture neural network. In evaluation we do not focus on articles' contents but on their sentiment polarity. Hence, we discuss whether the proposed method classifies articles according to their sentiment polarity or not. We confirmed though the proposed method is an unsupervised learning approach, it achieves good performance in stock market news similarity estimation. The results show a deep architecture neural network can be applied to more natural language processing tasks.
{"title":"Document similarity estimation for sentiment analysis using neural network","authors":"H. Yanagimoto, Mika Shimada, Akane Yoshimura","doi":"10.1109/ICIS.2013.6607825","DOIUrl":"https://doi.org/10.1109/ICIS.2013.6607825","url":null,"abstract":"It is important to classify documents according to their contents because of finding necessary documents efficiently. To achieve good classification document similarity estimation is one of key techniques since classification is executed based on the document similarity. In natural language processing bag-of-words model is used to extract features from documents and term occurrence frequency based value is used as a weight of each features. However, the term weight methodologies usually use predefined models and include some limitations. New approaches to construct feature vectors based on data distribution are desired to achieve high performance of natural language processing. These days many researchers pay attention to deep learning. Deep learning is a new approach to transform raw data to feature vectors using many unlabeled data. This characteristics is desirable to satisfy a previous need. In natural language processing a main aim is to construct a language model on a deep architecture neural network. In this paper we use a deep architecture neural network to estimate document similarity. To obtain good article similarity estimation we have to generate good article vectors that can represent all article characteristics. Hence, we use many stock market news to train the deep architecture neural network and generate article vectors with the trained neural network. And we calculate cosine similarity between labeled articles and discuss performance of the deep architecture neural network. In evaluation we do not focus on articles' contents but on their sentiment polarity. Hence, we discuss whether the proposed method classifies articles according to their sentiment polarity or not. We confirmed though the proposed method is an unsupervised learning approach, it achieves good performance in stock market news similarity estimation. The results show a deep architecture neural network can be applied to more natural language processing tasks.","PeriodicalId":345020,"journal":{"name":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114570631","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 : 2013-06-16DOI: 10.1109/ICIS.2013.6607895
P. Škoda, D. Hoksza
Exploration of the chemical space is an important component of drug discovery process and its importance grows with the increase in the computation power which allows to explore larger areas of the chemical space. Recently, there emerged new algorithms proposed to automatically generate and search for compounds (objects in the chemical space) with desired properties. Although these approaches can be a big help, human interaction is usually still inevitable in the end. Visualization of the space can help make sense of the generated data and therefore visualization techniques are usually an integral part of any task related to chemical space exploration. Currently, there exist methods dealing with visualization of the chemical space but there is no framework supporting simple development of new methods. The purpose of this paper is to introduce such a modular framework called ViFrame. ViFrame offers the possibility to implement every single part of the visualization pipeline consisting of steps such as reading and merging molecules from multiple data sources, applying transformations and, of course, visualization of the data set in 2D space. The advantage of the framework consists in providing an environment where the user can focus on the development of the previously mentioned tasks while the framework supports seamless integration of the developed components. The framework also incorporates an application that provides the user with graphical interface for modules manipulation and presentation of the visualization results. For simple utilization of the application without the necessity of implementation of one's own module, several visualization methods have been implemented.
{"title":"Chemical space visualization using ViFrame","authors":"P. Škoda, D. Hoksza","doi":"10.1109/ICIS.2013.6607895","DOIUrl":"https://doi.org/10.1109/ICIS.2013.6607895","url":null,"abstract":"Exploration of the chemical space is an important component of drug discovery process and its importance grows with the increase in the computation power which allows to explore larger areas of the chemical space. Recently, there emerged new algorithms proposed to automatically generate and search for compounds (objects in the chemical space) with desired properties. Although these approaches can be a big help, human interaction is usually still inevitable in the end. Visualization of the space can help make sense of the generated data and therefore visualization techniques are usually an integral part of any task related to chemical space exploration. Currently, there exist methods dealing with visualization of the chemical space but there is no framework supporting simple development of new methods. The purpose of this paper is to introduce such a modular framework called ViFrame. ViFrame offers the possibility to implement every single part of the visualization pipeline consisting of steps such as reading and merging molecules from multiple data sources, applying transformations and, of course, visualization of the data set in 2D space. The advantage of the framework consists in providing an environment where the user can focus on the development of the previously mentioned tasks while the framework supports seamless integration of the developed components. The framework also incorporates an application that provides the user with graphical interface for modules manipulation and presentation of the visualization results. For simple utilization of the application without the necessity of implementation of one's own module, several visualization methods have been implemented.","PeriodicalId":345020,"journal":{"name":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128031721","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 : 2013-06-16DOI: 10.1109/ICIS.2013.6607860
H. Faragardi, R. Shojaee, Hamid Tabani, Aboozar Rajabi
Cloud computing is widely referred as the next generation of computing systems. Reliability is a key metric for assessing performance in such systems. Redundancy and diversity are prevalent approaches to enhance reliability in Cloud Computing Systems (CCS). Proper resource allocation is an alternative approach to reliability improvement in such systems. In contrast to redundancy, appropriate resource allocation can improve system reliability without imposing extra cost. On the other hand, contemplating reliability irrespective of Quality of Service (QoS) requirements may be undesirable in most of CCSs. In this paper, we focus on resource allocation approach and introduce an analytical model in order to analyze system reliability besides considering application and resource constraints. Task precedence structure and QoS are taken into account as the application constraints. Memory and storage limitation of each server as well as maximum communication load on each link are considered as the principle resource constraints. In addition, effect of network topology on system reliability is discussed in detail and the model is extended to cover various network topologies.
{"title":"An analytical model to evaluate reliability of cloud computing systems in the presence of QoS requirements","authors":"H. Faragardi, R. Shojaee, Hamid Tabani, Aboozar Rajabi","doi":"10.1109/ICIS.2013.6607860","DOIUrl":"https://doi.org/10.1109/ICIS.2013.6607860","url":null,"abstract":"Cloud computing is widely referred as the next generation of computing systems. Reliability is a key metric for assessing performance in such systems. Redundancy and diversity are prevalent approaches to enhance reliability in Cloud Computing Systems (CCS). Proper resource allocation is an alternative approach to reliability improvement in such systems. In contrast to redundancy, appropriate resource allocation can improve system reliability without imposing extra cost. On the other hand, contemplating reliability irrespective of Quality of Service (QoS) requirements may be undesirable in most of CCSs. In this paper, we focus on resource allocation approach and introduce an analytical model in order to analyze system reliability besides considering application and resource constraints. Task precedence structure and QoS are taken into account as the application constraints. Memory and storage limitation of each server as well as maximum communication load on each link are considered as the principle resource constraints. In addition, effect of network topology on system reliability is discussed in detail and the model is extended to cover various network topologies.","PeriodicalId":345020,"journal":{"name":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128201778","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 : 2013-06-16DOI: 10.1109/ICIS.2013.6607863
Beilei Liang, Pan Liu, Huai-kou Miao
Building a simplified model for testing complex software system has been highlighted for optimizing test generation. This paper presents an approach to generating the constrained FSM with the scenario. Firstly, we use FSM to describe the behavior model of the target system. Then, we study the method of modeling scenarios with UML diagrams, including use case diagram, activity diagram, sequence diagram and statechart diagram. We describe how to achieve the constraint process by means of mapping and projection operations between FSM and UML diagrams. Finally, we obtain a reduced FSM by using UML activity diagrams to constrain FSM. The main contribution of the paper is to present an effective modeling method to optimize testing generation from the model.
{"title":"Scenario specification based testing model generation","authors":"Beilei Liang, Pan Liu, Huai-kou Miao","doi":"10.1109/ICIS.2013.6607863","DOIUrl":"https://doi.org/10.1109/ICIS.2013.6607863","url":null,"abstract":"Building a simplified model for testing complex software system has been highlighted for optimizing test generation. This paper presents an approach to generating the constrained FSM with the scenario. Firstly, we use FSM to describe the behavior model of the target system. Then, we study the method of modeling scenarios with UML diagrams, including use case diagram, activity diagram, sequence diagram and statechart diagram. We describe how to achieve the constraint process by means of mapping and projection operations between FSM and UML diagrams. Finally, we obtain a reduced FSM by using UML activity diagrams to constrain FSM. The main contribution of the paper is to present an effective modeling method to optimize testing generation from the model.","PeriodicalId":345020,"journal":{"name":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132660580","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 : 2013-06-16DOI: 10.1109/ICIS.2013.6607823
Wenpeng Ma, Akinori Minazuki, Hidehiko Hayashi
The existing search engine system almost based on keywords from users inputting. In a network environment, people can make use of the pc or mobile device for information retrieval. The way of inputting keywords has lasted for more than 20 years until Siri appeared in 2011. Siri can do information retrieval and process by voice actions. Compared to the traditional search mode, this is a huge step forward. Siri solved some limitations of the current search engines. But people need a new system, at any time and place, and fast search and process information. In this paper, we described new search engine system based on computer vision. Containing the information search and problem solve two basic parts. And for the needs of the people in daily lives, designed a number of convenience functions. System can use web camera to read and identify information. With the aid of network, maintain a real-time search and feedback. It is noteworthy that mobile devices include the existing smart phones and tablet PCs for now. These mobile devices are an appropriate choice. Like Google Glass. However, the best choice is new concept of mobile devices in the near future. After all, the existing equipment are still many restrictions.
{"title":"Research of intelligent search engine based on computer vision","authors":"Wenpeng Ma, Akinori Minazuki, Hidehiko Hayashi","doi":"10.1109/ICIS.2013.6607823","DOIUrl":"https://doi.org/10.1109/ICIS.2013.6607823","url":null,"abstract":"The existing search engine system almost based on keywords from users inputting. In a network environment, people can make use of the pc or mobile device for information retrieval. The way of inputting keywords has lasted for more than 20 years until Siri appeared in 2011. Siri can do information retrieval and process by voice actions. Compared to the traditional search mode, this is a huge step forward. Siri solved some limitations of the current search engines. But people need a new system, at any time and place, and fast search and process information. In this paper, we described new search engine system based on computer vision. Containing the information search and problem solve two basic parts. And for the needs of the people in daily lives, designed a number of convenience functions. System can use web camera to read and identify information. With the aid of network, maintain a real-time search and feedback. It is noteworthy that mobile devices include the existing smart phones and tablet PCs for now. These mobile devices are an appropriate choice. Like Google Glass. However, the best choice is new concept of mobile devices in the near future. After all, the existing equipment are still many restrictions.","PeriodicalId":345020,"journal":{"name":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132684136","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 : 2013-06-16DOI: 10.1109/ICIS.2013.6607807
Huai-kou Miao
Summary form only given: Web service has been an important solution to achieve resource sharing and application integration in the Internet era, which can develop the most promising software application with the on-demand changing computing paradigm, through service reuse and dynamic synthesis. Now, more and more enterprises and organizations have taken part in the emerging service software industry, expand their cooperation and explore enterprise solution via Web service and service composition. In this talk, I survey recent research in Service Dynamic Reconfiguration. Service-oriented software needs an effective approach to constantly adjust its architecture for responding to varying user requirements and instable runtime environments, where one of the most challenging issues is how to effectively execute a dynamic evolution for Web service and to ensure that the critical business application is trustworthy. To this end, we apply the probabilistic model checking to the implementation of Web service dynamic reconfiguration. According to the lifecycle of Web service dynamic reconfiguration, our research is partitioned into three parts including Web service monitoring, Web service dynamic reconfiguration and Web service dynamic reconfiguration verification. As a result, the verified reconfiguration will be used for handling the failed service.
{"title":"An approach to service dynamic reconfiguration using probabilistic model checking","authors":"Huai-kou Miao","doi":"10.1109/ICIS.2013.6607807","DOIUrl":"https://doi.org/10.1109/ICIS.2013.6607807","url":null,"abstract":"Summary form only given: Web service has been an important solution to achieve resource sharing and application integration in the Internet era, which can develop the most promising software application with the on-demand changing computing paradigm, through service reuse and dynamic synthesis. Now, more and more enterprises and organizations have taken part in the emerging service software industry, expand their cooperation and explore enterprise solution via Web service and service composition. In this talk, I survey recent research in Service Dynamic Reconfiguration. Service-oriented software needs an effective approach to constantly adjust its architecture for responding to varying user requirements and instable runtime environments, where one of the most challenging issues is how to effectively execute a dynamic evolution for Web service and to ensure that the critical business application is trustworthy. To this end, we apply the probabilistic model checking to the implementation of Web service dynamic reconfiguration. According to the lifecycle of Web service dynamic reconfiguration, our research is partitioned into three parts including Web service monitoring, Web service dynamic reconfiguration and Web service dynamic reconfiguration verification. As a result, the verified reconfiguration will be used for handling the failed service.","PeriodicalId":345020,"journal":{"name":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123976086","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 : 2013-06-16DOI: 10.1109/ICIS.2013.6607855
Farzad Amirjavid, A. Bouzouane, B. Bouchard
An activity is a chain of fuzzy events that occur in an environment caused by an intelligent system in order to achieve a goal. A goal may be achieved by effort of more than one individual. Regardless from the physical entity (modality and location) of the intelligence source and the quantity of individuals who perform the activities; per each possible goal or activity, we consider a source of intelligence who directs the order of fuzzy events that occur in the world. By frequently observation of the world, the plan behind world actuations is modeled applying extensions of the fuzzy logic. The main key point that we deal with is the analysis of the observations in order to make inferences about possible simultaneous activities that may be planned and realized by one or more individuals. A fuzzy conceptual structure for each individual and simultaneous activity is formalized; however, the model tolerates partial deviations from the activity structure.
{"title":"Data driven conceptual structures for simultaneous activities","authors":"Farzad Amirjavid, A. Bouzouane, B. Bouchard","doi":"10.1109/ICIS.2013.6607855","DOIUrl":"https://doi.org/10.1109/ICIS.2013.6607855","url":null,"abstract":"An activity is a chain of fuzzy events that occur in an environment caused by an intelligent system in order to achieve a goal. A goal may be achieved by effort of more than one individual. Regardless from the physical entity (modality and location) of the intelligence source and the quantity of individuals who perform the activities; per each possible goal or activity, we consider a source of intelligence who directs the order of fuzzy events that occur in the world. By frequently observation of the world, the plan behind world actuations is modeled applying extensions of the fuzzy logic. The main key point that we deal with is the analysis of the observations in order to make inferences about possible simultaneous activities that may be planned and realized by one or more individuals. A fuzzy conceptual structure for each individual and simultaneous activity is formalized; however, the model tolerates partial deviations from the activity structure.","PeriodicalId":345020,"journal":{"name":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132056035","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}
Respiratory motion induces discrepancy between the expected tumor positions used in treatment planning and the actual positions during treatment delivery. Such motion degrades greatly the effectiveness of the radiation treatment. To address this challenge, we have proposed an online treatment failure detection approach with image guidance. Tumor motion is tracked in real-time during treatment delivery and compared to the baseline motion used in treatment planning. Tracking errors are recovered online with subdivided subsequence correlation. A stop-n-wait dose delivery procedure is applied to minimize treatment errors. Two approaches have been developed to address baseline shift in tumor motion. The performances are evaluated using three different metrics: the misplacement of the tumor, the treatment efficacy, and the intervention frequency. The results showed that the new approaches will reduce treatment errors, improve dose delivery efficiency, and reduce treatment interventions. This study has the potential to be employed in clinical practice thus improving radiation outcome.
{"title":"Subsequence based treatment failure detection and intervention in image guided radiotherapy","authors":"Huanmei Wu, I. Das, Qingya Zhao, HuaAng Chen, Minghui Lu, Chee-Wai Cheng","doi":"10.1109/ICIS.2013.6607840","DOIUrl":"https://doi.org/10.1109/ICIS.2013.6607840","url":null,"abstract":"Respiratory motion induces discrepancy between the expected tumor positions used in treatment planning and the actual positions during treatment delivery. Such motion degrades greatly the effectiveness of the radiation treatment. To address this challenge, we have proposed an online treatment failure detection approach with image guidance. Tumor motion is tracked in real-time during treatment delivery and compared to the baseline motion used in treatment planning. Tracking errors are recovered online with subdivided subsequence correlation. A stop-n-wait dose delivery procedure is applied to minimize treatment errors. Two approaches have been developed to address baseline shift in tumor motion. The performances are evaluated using three different metrics: the misplacement of the tumor, the treatment efficacy, and the intervention frequency. The results showed that the new approaches will reduce treatment errors, improve dose delivery efficiency, and reduce treatment interventions. This study has the potential to be employed in clinical practice thus improving radiation outcome.","PeriodicalId":345020,"journal":{"name":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","volume":"2019 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114151091","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：