2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)最新文献

Enhancement of industrial monitoring systems by utilizing context awareness 利用环境感知增强工业监控系统

2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2013-06-06 DOI: 10.1109/COGSIMA.2013.6523858

A. N. Lee, J. Lastra

{"title":"Enhancement of industrial monitoring systems by utilizing context awareness","authors":"A. N. Lee, J. Lastra","doi":"10.1109/COGSIMA.2013.6523858","DOIUrl":"https://doi.org/10.1109/COGSIMA.2013.6523858","url":null,"abstract":"Current industrial monitoring systems gather big amounts of data which are provided to plant personnel for maintaining the proper function and desired production performance. Unfortunately, these systems do not take into account context as part of the plant, leaving out useful information that could be useful for personnel when they perform their everyday tasks. This context information includes data that are implicit to the system but is not measured, like the temperature of the room, location and time; and other system information that already exists but has not been integrated into the monitoring system, like 3D models and manuals. Therefore, there is a need for a monitoring system that integrates context data and existing plant information to provide dynamically only the most relevant information for users when it is needed. The information should be in the right modality based on the state of the system, user, environment and functionalities of the device used for providing the information. This paper presents a proposal for a context-aware industrial monitoring system. Its main characteristics, components, requirements and possible enabling technologies are presented. In order to illustrate the expected benefits of the approach, a representative scenario of the domain of discrete manufacturing is provided. Finally, feature and constrains are discussed and future steps are presented.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117156911","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}

引用次数: 29

Ontologies for probabilistic situation assessment in the maritime domain 用于海事领域概率态势评估的本体

2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2013-06-06 DOI: 10.1109/COGSIMA.2013.6523830

Y. Fischer, J. Beyerer

引用次数: 10

Enhancing applications interoperability in context management for practice tasks 在实践任务的上下文管理中增强应用程序的互操作性

2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2013-06-06 DOI: 10.1109/COGSIMA.2013.6523834

Zhou Zhong, Junzhong Gu, Yuanyuan Zhang, Xin Lin

{"title":"Enhancing applications interoperability in context management for practice tasks","authors":"Zhou Zhong, Junzhong Gu, Yuanyuan Zhang, Xin Lin","doi":"10.1109/COGSIMA.2013.6523834","DOIUrl":"https://doi.org/10.1109/COGSIMA.2013.6523834","url":null,"abstract":"Currently, with the emerging of Clouds and Internet Of Things technologies, researches of context-aware applications have extended from individual-smart-space to ubiquitous intelligent environments. A context management system (CMS) is an important component of a context-aware middleware that supports distributed, context-aware applications to obtain context information from pervasive computing environments. Several CMS architecture solutions have been proposed to transparently implement context management and provisioning in the distributed system. This paper is focused on the cross-context in CMSs. As a production of the ubiquitous computing, cross-context is the situation that context sharing in different CMSs influences both the context computing of these CMSs. To solve the cross context, we address the importance of the cross task management and cognitive context query between CMSs. According to our scenario, an architecture is designed to support the interoperability and collaboration between CMSs adaptively. Compared with previous works, the paper defines the cross context to distinguish it from general context sharing, and the architecture combines with both dynamic task modeling and the context searching engine to support scheduling when cross-context happens. In an emergency, the dynamic task modeling is designed for adapting to the human users' urgent requirements or their quick wits in cross-context. And the context searching engine is provided to search the key information for organizing new plans.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115354641","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}

引用次数: 2

Automated recognition of firearms in surveillance video 自动识别监控录像中的枪支

2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2013-06-06 DOI: 10.1109/COGSIMA.2013.6523822

M. Grega, Seweryn Lach, Radoslaw Sieradzki

引用次数: 19

Stealthy attacks on pheromone swarming 秘密攻击信息素群

2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2013-06-06 DOI: 10.1109/COGSIMA.2013.6523861

Janiece Kelly, Seth Richter, Mina Guirguis

{"title":"Stealthy attacks on pheromone swarming","authors":"Janiece Kelly, Seth Richter, Mina Guirguis","doi":"10.1109/COGSIMA.2013.6523861","DOIUrl":"https://doi.org/10.1109/COGSIMA.2013.6523861","url":null,"abstract":"In multi-agent systems, digital pheromone swarming algorithms are used to coordinate agents to achieve complex and intelligent behaviors. Studies have shown that pheromone swarming systems are versatile, efficient and resilient to failures, and thus are applicable in various scenarios such as border control, area coverage, target tracking, search and rescue, etc. Due to their reliance on wireless communication channels - which are vulnerable to interference and jamming attacks - it becomes important to study the security of these systems under malicious conditions. In this paper, we investigate the security of pheromone swarming under different types of jamming attacks. In particular, we expose new types of stealthy attacks that aim to maximize the damage inflicted on the swarm while reducing the risk of exposure. Unlike complete Denial of Service (DoS) attacks, the attacks exposed select which signal to interfere with based on the current state of the swarm. We have assessed the impact of the attacks through new metrics that expose the tradeoff between damage and cost. Our results show that the exposed attacks are more potent than traditional DoS-like attacks. Our results are obtained from simulation experiments and real physical implementation using a number of iRobot Create robots in our Mobile Cyber-Physical Systems lab.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127928704","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}

引用次数: 2

On conceptualization of eventualities in Situation Management 论态势管理中突发事件的概念化

2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2013-06-06 DOI: 10.1109/COGSIMA.2013.6523826

G. Jakobson

引用次数: 5

Quantitative methods for ranking critical events 对关键事件进行排序的定量方法

2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2013-06-06 DOI: 10.1109/COGSIMA.2013.6523833

J. diVita, R. Morris

引用次数: 1

Space encoding based human activity modeling and situation perception 基于空间编码的人类活动建模与情境感知

2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2013-06-06 DOI: 10.1109/COGSIMA.2013.6523845

Qingquan Sun, Rui Ma, Qi Hao, Fei Hu

引用次数: 13

Behavior instance extraction for risk aware control in mission centric systems 面向任务中心系统风险感知控制的行为实例提取

2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2013-06-06 DOI: 10.1109/COGSIMA.2013.6523823

John M. Pecarina, Jyh-Charn S. Liu

{"title":"Behavior instance extraction for risk aware control in mission centric systems","authors":"John M. Pecarina, Jyh-Charn S. Liu","doi":"10.1109/COGSIMA.2013.6523823","DOIUrl":"https://doi.org/10.1109/COGSIMA.2013.6523823","url":null,"abstract":"In the pursuit of behavior modeling for dynamic policy management and usage control, mission centric systems are the most important to examine, not only because situation dynamics can dramatically alter the collaboration environment, but also since behavior in these systems is constrained by mission objectives or workflows. Traditional mission decomposition into tasks and objectives has led to static policy deployment and role based views of access control and, but we propose Risk-Adaptive Mission Policy (RAMP) to enable commanders to automate decisions to constrain or proliferate access depending on behavioral context and risk assessment for successful mission outcomes. As the critical source of knowledge to enable this new methodology, we formulate the behavior instance extraction problem (BIEP) to pre-process unstructured activity data and mine interesting behaviors for modeling applications. Finally, we develop the workflow behavior instance extraction algorithm to tailor a solution to BIEP specifically for RAMP. Our evaluation weighs performance against new functionality to show that our work supports risk aware security decisions for dynamic situation management in mission centric environments.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129793565","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}

引用次数: 0

Cognitive shadow: A policy capturing tool to support naturalistic decision making 认知阴影:支持自然决策的策略捕获工具

2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2013-06-06 DOI: 10.1109/COGSIMA.2013.6523837

D. Lafond, S. Tremblay, S. Banbury

{"title":"Cognitive shadow: A policy capturing tool to support naturalistic decision making","authors":"D. Lafond, S. Tremblay, S. Banbury","doi":"10.1109/COGSIMA.2013.6523837","DOIUrl":"https://doi.org/10.1109/COGSIMA.2013.6523837","url":null,"abstract":"Policy capturing is an approach to decision analysis using statistical models such as multiple linear regression or machine learning algorithms to approximate the mental models of decision makers. The present work seeks to apply a robust policy capturing technique to functionally mirror expert mental models and create individually-tailored cognitive assistants. The “cognitive shadow” method aims to improve decision quality by recognizing probable errors in cases where the decision maker is diverging from his usual judgmental patterns. The tool actually shadows the decision maker by un-intrusively monitoring the situation and comparing its own decisions to those of the human decision maker, and then provides advisory warnings in case of a mismatch. The support methodology is designed to be minimally intrusive to avoid an increase in cognitive load, either in real-time or off-line dynamic decision making situations. Importantly, user trust is likely to be a key asset since the cognitive shadow is derived from one's own judgments. A use case of the cognitive shadow is described within the context of a maritime threat classification task, using the classic CART decision tree induction algorithm for policy capturing. This approach is deemed applicable to a large variety of domains such as supervisory control, intelligence analysis and surveillance in defence and security, and of particular relevance in high-reliability organizations with low tolerance for error.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128835694","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}

引用次数: 9