18,531 resources related to Cognition
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The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore
International Geosicence and Remote Sensing Symposium (IGARSS) is the annual conference sponsored by the IEEE Geoscience and Remote Sensing Society (IEEE GRSS), which is also the flagship event of the society. The topics of IGARSS cover a wide variety of the research on the theory, techniques, and applications of remote sensing in geoscience, which includes: the fundamentals of the interactions electromagnetic waves with environment and target to be observed; the techniques and implementation of remote sensing for imaging and sounding; the analysis, processing and information technology of remote sensing data; the applications of remote sensing in different aspects of earth science; the missions and projects of earth observation satellites and airborne and ground based campaigns. The theme of IGARSS 2019 is “Enviroment and Disasters”, and some emphases will be given on related special topics.
2019 IEEE International Symposium on Information Theory (ISIT)
Information theory and coding theory and their applications in communications and storage, data compression, wireless communications and networks, cryptography and security, information theory and statistics, detection and estimation, signal processing, big data analytics, pattern recognition and learning, compressive sensing and sparsity, complexity and computation theory, Shannon theory, quantum information and coding theory, emerging applications of information theory, information theory in biology.
The conference covers all aspects of the technology associated with ultrasound generation and detection and their applications.
Early Vision and Sensors Color, Illumination and Texture Segmentation and Grouping Motion and TrackingStereo and Structure from Motion Image -Based Modeling Physics -Based Modeling Statistical Methods and Learning in VisionVideo Surveillance and Monitoring Object, Event and Scene Recognition Vision - Based Graphics Image and Video RetrievalPerformance Evaluation Applications
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018
Both human brain and computer (electronic brain) could process data and do some cognition and computation tasks. Is the cognition of human brain equal to the computation of computer? It is obviously not. In this talk, the relationships of brain cognition models and intelligence computation models are summarized into four different types, that is, human brain cognition inspired intelligence computation ...
2011 International Conference of Soft Computing and Pattern Recognition (SoCPaR), 2011
With growing evidence from patient and neuroimaging studies, there are lots of differences between the neural mechanisms of Chinese and English cognition. Specifically, previous researches showed a clear correlation between the cognition of Chinese and graphics. The present study aimed to explore the similarity and difference of neural mechanism of Chinese, English and graphics during visual processing with functional Magnetic ...
2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2016
Spatial cognition is a typical human cognitive activity. It is attractive that human can interact with the robot naturally and efficiently in the task of spatial cognition. And so many of scientists have thrown themselves into the research of that great thing. This paper systematically summarized the related work of human-robot natural interaction in spatial cognition tasks. We arranged this ...
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
Compared to traditional SAR, high-resolution PolSAR not only can provide texture and geometry information, but also can provide polarimetric information, which have been used extensively for various surface features recognition. Traditional methods only based on images characteristics which don't apply to high-resolution PolSAR images interpretation, causing the algorithm redundancy and low recognition rate. However, human's image cognition system is an ...
2010 Second IITA International Conference on Geoscience and Remote Sensing, 2010
Although the terrain cognition of small-scale environment plays an important role in perception of geographical space, few studies have explored this issue. This study focus on the terrain cognition and its role and psychological mechanism in small-scale environment by adopting the Pukou pre- campus in Nanjing University as studying area. The survey interviewed 644 freshmen for two years. Then the ...
A Conversation with Danielle Bassett: IEEE TechEthics Interview
Emerging Technologies for the Control of Human Brain Dynamics: IEEE TechEthics Keynote with Danielle Bassett
Brain Panelist - James Kozloski: 2016 Technology Time Machine
Hyperdimensional Biosignal Processing: A Case Study for EMG-based Hand Gesture Recognition - Abbas Rahimi: 2016 International Conference on Rebooting Computing
Interaction and Experience in Enactive Intelligence and Humanoid Robotics
Both human brain and computer (electronic brain) could process data and do some cognition and computation tasks. Is the cognition of human brain equal to the computation of computer? It is obviously not. In this talk, the relationships of brain cognition models and intelligence computation models are summarized into four different types, that is, human brain cognition inspired intelligence computation (BCIIC), intelligence computation without human brain cognition (ICOBC), intelligence computation assisted human brain cognition (ICABC), and the integration of human brain cognition and intelligence computation (BC&IC). There are three paradigms in traditional artificial intelligence (AI) studies, that is, symbolism AI, connectionism AI, and behaviorism AI. The physical symbol system hypothesis is used in the symbolism AI. Human brain cognition is taken as a kind of symbolic processing, and the processes of human thinking are computed by symbol in the symbolism AI [1,2]. The connectionism AI relies on the bionics to simulate human brain. In the connectionism AI, neuron is taken as the basic unite of human thinking, and the intelligence is taken as the result of interconnected neurons competition and collaboration [3,4]. In the behaviorism AI, intelligence depends on the perception and behavior, “Perception-action” model is used, and intelligence may not require knowledge, knowledge representation and knowledge reasoning . The symbolism AI and connectionism AI are two different types of human brain cognition inspired intelligence computation, while the behaviorism AI is a representative case of intelligence computation without human brain cognition. Usually, AI researchers get some inspiration from human brain cognition in their studies. On the other way, intelligence computation could also assist human brain cognition studies. The bidirectional cognitive computing model (BCC) is such a case. It studies the bidirectional transformations between the intension and extension of a concept. It is used to simulate some human brain cognition tasks such as learning and recognition [6,7]. Cognitive computing is one of the core fields of artificial intelligence [8,9]. Data-driven granular cognitive computing (DGCC) is an example of the integration of human brain cognition and intelligence computation [10,11]. It takes data as a special kind of knowledge expressed in the lowest granularity level of a multiple granularity space. It integrates two contradictory mechanisms, namely, the human's cognition mechanism of ``global precedence'' which is a cognition process of ``from coarser to finer'' and the information processing mechanism of machine learning systems which is ``from finer to coarser'', in a multiple granularity space. It is data-driven cognitive computing model. The integration of human brain cognition and intelligence computation would be an important research topic of artificial intelligence. Some scientific research issues of the integration of human brain cognition and intelligence computation are discussed based on DGCC.
With growing evidence from patient and neuroimaging studies, there are lots of differences between the neural mechanisms of Chinese and English cognition. Specifically, previous researches showed a clear correlation between the cognition of Chinese and graphics. The present study aimed to explore the similarity and difference of neural mechanism of Chinese, English and graphics during visual processing with functional Magnetic Resonance Imaging (fMRI). The experimental materials adopted in the study were three kinds of representation icons representing the same object with different visual features, which refer to Chinese character, English word and line drawing of the same animal or plant, and a white attention dot with black background was used as control material. In the results, we demonstrated differential cortical representations of English cognition, Chinese characters cognition and graphics cognition.
Spatial cognition is a typical human cognitive activity. It is attractive that human can interact with the robot naturally and efficiently in the task of spatial cognition. And so many of scientists have thrown themselves into the research of that great thing. This paper systematically summarized the related work of human-robot natural interaction in spatial cognition tasks. We arranged this paper in two parts, the analysis of spatial cognition tasks and cognition modeling respectively. And the progress of cognitive architecture was highlighted here. In addition, we studied how to realize the human-robot natural interaction through combining the natural interaction technologies and cognitive modeling. And we proposed a design framework of human-robot spatial cognition interaction system based on ACT-R theory. In the end, we put forward our prospect and discussion about this research area. Our work mainly aims at making a contribution to realizing human-robot natural interaction in spatial cognition tasks.
Compared to traditional SAR, high-resolution PolSAR not only can provide texture and geometry information, but also can provide polarimetric information, which have been used extensively for various surface features recognition. Traditional methods only based on images characteristics which don't apply to high-resolution PolSAR images interpretation, causing the algorithm redundancy and low recognition rate. However, human's image cognition system is an efficient and intelligent image processing system, which nothing can be comparable to in targets recognition. Based on human image cognition mechanism, a new method for features recognition in PolSAR images is proposed in this paper to overcome above shortcomings. The proposed method utilizes hierarchical cognition model to identify different features: the first layer is visual cognition, the second layer is logical cognition and the third layer is psychology cognition. Image segmentation and visual sensitive features extraction and integration are applied in visual cognition to derive preliminary recognition results. Based on the results from first procedure, fuzzy logic theory and Neural Network Model are both utilized in logical cognition. Background characteristics are utilized to identify features precisely in psychology cognition. The whole cognitive procedure is under the guidance of a priori knowledge, which is represented in accordance with production rules. Experiments are conducted over the EMISAR L-band PolSAR data and the E-SAR L-band PolSAR data. The results show that the proposed method can effectively and precisely identify different features in PolSAR images.
Although the terrain cognition of small-scale environment plays an important role in perception of geographical space, few studies have explored this issue. This study focus on the terrain cognition and its role and psychological mechanism in small-scale environment by adopting the Pukou pre- campus in Nanjing University as studying area. The survey interviewed 644 freshmen for two years. Then the data was analyzed by using the coding method of the geographical elements, spatial analysis and multi-source data processing methods. Finally, the article is concluded as follows: 1) The cognition of undulating terrain can contribute to the formation of three- dimensional environmental representation and it is important image of edges and landmarks of wayfinding; 3)The spatial extent and characteristics of terrain cognition of subjects is same as actual ones and the elevation difference associated with daily activity space for the reference points are generally cognized by the participants. 4) The relative elevation, not height above sea level, is being encoded by human-being, even if they have the knowledge of the height above sea level.
PolSAR images have been used extensively for various surface features recognition and buildings recognition is an important research topic of PolSAR image interpretation. Traditional methods are only based on PolSAR image characteristics and lack subjective knowledge of human image cognition, making low target recognition rate and algorithm redundancy. To overcome this shortcoming, based on human image cognition mechanism, a new method for buildings recognition in PolSAR images is proposed in this paper. The proposed method utilizes hierarchical cognition model to identify buildings: the first layer is visual cognition and the second layer is logical cognition. In visual cognition, visual sensitive features are extracted and integrated under the guidance of a priori knowledge to derive preliminary recognition results. In logical cognition, based on the results from first process, fuzzy logic theory and Neural Network Model are both utilized to identify buildings precisely. The whole cognition procedure is guided by the knowledge, which is represented in accordance with production rules. Experiments are conducted over the EMISAR L-band PolSAR data, the E-SAR L-band PolSAR data and Convair-SAR C-band PolSAR data. The results show that the proposed method can identify buildings from PolSAR images effectively and precisely.
Based on the complex cognition theory, the multiple influencing factors of empirical knowledge accumulation in the process of novice engineers' solving complex problems are presented and analyzed, such as: problem context, individual emotion, and individual cognition factors. An experiment originated from a real world engineering design problem is used to illustrate the accumulation process of novice engineers' empirical knowledge. Two questionnaires are used to test the influencing factors. Through statistics analysis and path analysis, the effects and relations of influencing factors in empirical knowledge accumulation of novice engineers are found. These results will help to capture and accumulate empirical knowledge faster for novice engineers.
The purposes of this research are to investigate the information necessary for cognition of the VR environment using “Reaching” and to examine how to compensate the difference of cognition between the real and the VR environment. Therefore, this research conducts a task in VR to acquire cognition with the VR environment (Cognitive acquisition task) first. This task is one for a subject to be acclimated to VR environment. The important thing is that the subject's arms and hands and their actions are shown in VR environment using CG. Second, comparative experiment using Reaching is conducted. Cognitive acquisition task is conducted using simple action task related to reaching, such as stacking blocks and rolling spheres. In Reaching experiment, first, a subject estimate whether the subject can grasp a cylinder placed in front of the subject by just stretching arms in thought. After that, the subject grabs the cylinder and places it as far as possible. The results are investigated in the real and the virtual environment. In the real, it has been found that the longest distance to an object for a person to decide to be able to reach for and grab the object (CDDG) is about 1.1 times as long as the longest distance where a person actually can reach for grabbing the object (CRDG). The previous studies have shown that the ratio of CDDG and CRDG in VR is not 1.1 and its compensation is difficult. However, as a result of this research experiment, CDDGs in this research were the same value in the real and the VR environment. And in the case of VR with reduced environmental information, CDDG in VR was different from one in real. As the result, it was suggested that the difference in cognition could be compensated by including the necessary and sufficient environmental and user's information (CG model of user's body and user's movement) and an appropriate cognition could be realized even in the current VR environment.
The distributed cognition emphasizes the distributed nature of cognitive phenomena across individuals, artefacts and internal and external representations in terms of a common language of 'representational states' and 'media'. And it is a new analysis unit including all things that participate in cognition. In this paper, there was a brief introduction to the concept and prominent features of distributed cognition firstly. Then, the computer English network teaching system model was constructed using distributed cognition and asynchronous network teaching theory: Finally from the viewpoint of Distributed Cognition the analysis of the Website' s structure and contents was made according to the computer English teaching system ,and made a brief introduction to its functional performance.
With the development of digital signal processing, the field of media cognition has more attention which is the necessary method to achieve human- computer interaction technology. The electronic media is a new human civilization carrier which will give birth to new culture and arts. Media cognition projects practice is set up to accomplish the target of cultivating talented person. This paper shows some new practical projects curriculum on media cognition. Students complete a series of small independent media cognition practical projects curriculum to fully stimulate students' interest in the related research areas. High-level talents will be trained by these practical projects. Analysis shows that the media cognition practical projects curriculum improved the ability to acquire the relevant knowledge and in-depth investigation of project programming.
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Chair/Distinguished/Full Professor in Human Cognitive Neuroscience
University of Macau
Associate/Assistant Professor in Human Cognitive Neuroscience
University of Macau
Faculty Positions in Computer Science
Human Factors Engineer
Vice Deans, Disting. Profs (Tenured Pos)Tenured Profs, Tenured-Track Assoc Profs Tenured-Track Assis
Shanghai Jiao Tong University Institute of Medical Robotics
Visual Perception Scientist
User Interface Designer - ELSYS
Georgia Tech Research Institute (GTRI)
Assistant Professor (without Tenure Track) in Machine Learning (W1)
Karlsruhe Institute of Technology (KIT)