2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)最新文献_第3页

Developing Concept Enriched Models for Processing Big Data Within the Medical Domain 发展医学领域大数据处理的概念丰富模型

2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2019-07-01 DOI: 10.1109/ICCICC46617.2019.9146074

Akhil Gudivada, Nasseh Tabrizi

{"title":"Developing Concept Enriched Models for Processing Big Data Within the Medical Domain","authors":"Akhil Gudivada, Nasseh Tabrizi","doi":"10.1109/ICCICC46617.2019.9146074","DOIUrl":"https://doi.org/10.1109/ICCICC46617.2019.9146074","url":null,"abstract":"As more and more domains are incorporating cognitive computing tools to develop models to process and understand data in a cohesive, yet effective manner, the medical domain is also seeking advancements aided by artificial intelligence. While the amount of research available to any individual increases regularly, the ability to keep up with new information becomes a challenge due to the sheer quantity of information. The use of artificial intelligence to help process large amounts of information can overcome those barriers. However, progress in this field is hindered by several challenges including: incomplete medical data sets, the confidential nature of data as it holds private information of individuals, the complexity and nuances of natural language (within medicine), and even the unwillingness of health-care providers to adopt newer techniques. Though the data may be specialized, the models and techniques designed and discussed in this paper can help provide a framework, or starting point for those interested in effectively developing, maintaining, and using these models to help improve the quality of health-care. The purpose of this paper is to serve as resource which can be used to start developing similar models and put them to use in everyday practice in the medical domain.","PeriodicalId":294902,"journal":{"name":"2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122596480","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: 1

Person Identification System in a Platform for Enabling Interaction with Individuals Affected by Profound and Multiple Learning Disabilities 基于深度和多重学习障碍互动平台的个人识别系统

2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2019-07-01 DOI: 10.1109/ICCICC46617.2019.9146032

C. Campomanes-Alvarez, B. R. C. Álvarez, Pelayo Quirós

{"title":"Person Identification System in a Platform for Enabling Interaction with Individuals Affected by Profound and Multiple Learning Disabilities","authors":"C. Campomanes-Alvarez, B. R. C. Álvarez, Pelayo Quirós","doi":"10.1109/ICCICC46617.2019.9146032","DOIUrl":"https://doi.org/10.1109/ICCICC46617.2019.9146032","url":null,"abstract":"Individuals affected by profound and multiple learning disabilities have severe restricted mobility and are subject to multiple sensory and intellectual impairments. They are therefore unable to produce conventional behaviors that may serve to communicate a particular need to a caregiver. Within the INSENSION project, an intelligent platform for enabling the interaction of this kind of people with others, is planned to be developed. The final goal is to increase their ability of self-communication through digital services and enhance the quality of their life. The system will recognize facial expressions, body gestures, vocalizations and physiological parameters using the information captured by a set of video-cameras and sensors. Based on previous knowledge about each person, the platform will be able to associate the recognized expressions with their meaning in an individualized way. For this reason, a first stage of person identification is highly required in order to personalize the understanding. In this work, a new facial recognition method is developed and properly configured to be included in the INSENSION platform. The proposed system is able to identify six individuals as well as discard the other people that could appear in the videos, assuring the monitoring of the right person.","PeriodicalId":294902,"journal":{"name":"2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123251011","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: 1

A Perspective on Leadership in Cognitive Computing and its Social Consequences 认知计算的领导能力及其社会后果

2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2019-07-01 DOI: 10.1109/ICCICC46617.2019.9146051

G. Jacobs

引用次数: 0

On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence 论自治系统:从反身性、命令性和适应性智能到自主性和认知智能

2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2019-07-01 DOI: 10.1109/ICCICC46617.2019.9146038

Yingxu Wang, K. Plataniotis, S. Kwong, Henry Leung, S. Yanushkevich, F. Karray, Ming Hou, N. Howard, R. Fiorini, P. Soda, E. Tunstel, Jianmin Wang, Shushma Patel

{"title":"On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence","authors":"Yingxu Wang, K. Plataniotis, S. Kwong, Henry Leung, S. Yanushkevich, F. Karray, Ming Hou, N. Howard, R. Fiorini, P. Soda, E. Tunstel, Jianmin Wang, Shushma Patel","doi":"10.1109/ICCICC46617.2019.9146038","DOIUrl":"https://doi.org/10.1109/ICCICC46617.2019.9146038","url":null,"abstract":"Autonomous systems underpinned by cognitive intelligence represent advanced forms of artificial intelligence studied in intelligence science, systems science, and computational intelligence. Traditional theories and technologies of autonomous systems put emphases on human-system interactions and humans in-the-loop. This paper explores the intelligence and system foundations of autonomous systems. It focuses on what structural and behavioral properties constitute the intelligence power of autonomous systems. It explains how system intelligence aggregates from reflexive, imperative, adaptive intelligence to autonomous and cognitive intelligence. A Hierarchical Intelligence Model (HIM) is introduced to elaborate the evolution of human and system intelligence as an inductive process. A set of properties of system autonomy is formally analyzed towards a wide range of autonomous system applications in computational intelligence and systems engineering.","PeriodicalId":294902,"journal":{"name":"2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"11 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131805183","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: 12

The Analysis of Traffic Energy Infrastructures Service Efficiency based on Different Information Scenarios with Cellular Automata Simulation 基于元胞自动机仿真的不同信息场景下交通能源基础设施服务效率分析

2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2019-07-01 DOI: 10.1109/ICCICC46617.2019.9146029

Qiguang Lyu, Maozeng Xu, Guangcan Xu, Yong Liu, Xiaoping Zhou

引用次数: 0

Towards Automatic Recognition of Sounds Observed in Daily Living Activity 对日常生活活动中所观察到的声音的自动识别

2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2019-07-01 DOI: 10.1109/ICCICC46617.2019.9146040

A. Shaukat, Ammar Younis, M. Akram, M. Mohsin, Zartasha Mustansar

引用次数: 2

Image Restoration Based on Structure and Texture Decomposition 基于结构和纹理分解的图像恢复

2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2019-07-01 DOI: 10.1109/ICCICC46617.2019.9146084

Qiong Zhang, M. Shen, Bin Li

引用次数: 0

The Future of the Brain and Beyond 大脑的未来及未来

2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2019-07-01 DOI: 10.1109/iccicc46617.2019.9146078

N. Howard

{"title":"The Future of the Brain and Beyond","authors":"N. Howard","doi":"10.1109/iccicc46617.2019.9146078","DOIUrl":"https://doi.org/10.1109/iccicc46617.2019.9146078","url":null,"abstract":"In order to study brain function, some researchers have attempted to reverse-engineer neuronal networks and even the brain itself. This approach was based on the assumption that neurons in-vivo acted just like simple transistors in-silico. Unfortunately, both network and whole-brain modeling based on this premise have led to very little insight into actual brain function. The evidence for this claim is two-fold. First, the amount of energy needed to operate computing machinery that isn't anywhere near as complex as the human brain still requires much more energy than the latter. Second, because transistor-based computing reacts to static events whilst neurons can react to processes, properties inherent to computing architectures hardware prevent the true level of complexity and connectivity achieved in the human brain from being realized in-silico. In contrast to transistors, neurons can establish and change their connections and vary their signaling properties according to a variety of rules, allowing them to adapt to circumstances, self-assemble, auto-calibrate and store information by changing their properties according to experience (Laughlin & Sejnowski, 2003). In this speech, we elaborate on this evidence, and argue that there is a need to re-think the way we approach brain computation. In particular, we argue for a detailed understanding of neuronal function and network organization is required prior to neuronal network modeling attempt.","PeriodicalId":294902,"journal":{"name":"2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133145478","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

Sparse spatiotemporal feature learning for pipeline anomaly detection 用于管道异常检测的稀疏时空特征学习

2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2019-07-01 DOI: 10.1109/ICCICC46617.2019.9146048

King Ma, H. Leung

引用次数: 1

Phrase Structures and Message Frames for Generation of Cognitive messages 认知信息生成的短语结构和信息框架

2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2019-07-01 DOI: 10.1109/ICCICC46617.2019.9146052

Vedika Parvez

引用次数: 0