Synopsis
Building automation is a constantly growing domain, systems designed to support the human user will provide new types of services. A challenge for the design of such systems is the ability to observe objects, events and situations in a way that is similar to human perception. This work defines a model for data processing based on the adaptation of neuroscientific, psychological and psychoanalytical models. By symbolizing data which originates from diverse types of sensors and processing it in multiple layers, relevant information is extracted and separated from unimportant data. This is achieved by applying knowledge that has been obtained from understanding how human perception operates. The result of this process is a symbolic representation of the world that is used to identify scenarios – sequences of events subject to time constraints. The symbols defined in this work are linked to the real world, in which the symbol operates – the symbols are grounded. This has been achieved by linking the lowest symbolic layer to real-world sensory data.
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About the Author
Gerhard Zucker (né Gerhard Pratl) holds a diploma and Ph.D. inElectrical Engineering from Vienna University of Technology,where he has gained experience in fieldbus systems and buildingautomation. This book reflects his research in cognitiveautomation and the modeling of perception and decision makingbased on neuropsychoanalytic modeling.
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Processing and Symbolization of Ambient Sensor Data
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Building automation is a constantly growing domain, systems designed to support the human user will provide new types of services. A challenge for the design of such systems is the ability to observe objects, events and situations in a way that is similar to human perception. This work defines a model for data processing based on the adaptation of neuroscientific, psychological and psychoanalytical models. By symbolizing data which originates from diverse types of sensors and processing it in multiple layers, relevant information is extracted and separated from unimportant data. This is achieved by applying knowledge that has been obtained from understanding how human perception operates. The result of this process is a symbolic representation of the world that is used to identify scenarios - sequences of events subject to time constraints. The symbols defined in this work are linked to the real world, in which the symbol operates - the symbols are grounded. This has been achieved by linking the lowest symbolic layer to real-world sensory data. 148 pp. Deutsch. Seller Inventory # 9783838110646
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Building automation is a constantly growing domain, systems designed to support the human user will provide new types of services. A challenge for the design of such systems is the ability to observe objects, events and situations in a way that is similar t. Seller Inventory # 5405447
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Processing and Symbolization of Ambient Sensor Data
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Building automation is a constantly growing domain, systems designed to support the human user will provide new types of services. A challenge for the design of such systems is the ability to observe objects, events and situations in a way that is similar to human perception. This work defines a model for data processing based on the adaptation of neuroscientific, psychological and psychoanalytical models. By symbolizing data which originates from diverse types of sensors and processing it in multiple layers, relevant information is extracted and separated from unimportant data. This is achieved by applying knowledge that has been obtained from understanding how human perception operates. The result of this process is a symbolic representation of the world that is used to identify scenarios ¿ sequences of events subject to time constraints. The symbols defined in this work are linked to the real world, in which the symbol operates ¿ the symbols are grounded. This has been achieved by linking the lowest symbolic layer to real-world sensory data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Deutsch. Seller Inventory # 9783838110646
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Processing and Symbolization of Ambient Sensor Data : A Neuropsychoanalytic Approach
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Building automation is a constantly growing domain, systems designed to support the human user will provide new types of services. A challenge for the design of such systems is the ability to observe objects, events and situations in a way that is similar to human perception. This work defines a model for data processing based on the adaptation of neuroscientific, psychological and psychoanalytical models. By symbolizing data which originates from diverse types of sensors and processing it in multiple layers, relevant information is extracted and separated from unimportant data. This is achieved by applying knowledge that has been obtained from understanding how human perception operates. The result of this process is a symbolic representation of the world that is used to identify scenarios - sequences of events subject to time constraints. The symbols defined in this work are linked to the real world, in which the symbol operates - the symbols are grounded. This has been achieved by linking the lowest symbolic layer to real-world sensory data. Seller Inventory # 9783838110646
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Processing and Symbolization of Ambient Sensor Data | A Neuropsychoanalytic Approach
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Taschenbuch. Condition: Neu. Processing and Symbolization of Ambient Sensor Data | A Neuropsychoanalytic Approach | Gerhard Zucker | Taschenbuch | 148 S. | Deutsch | 2015 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838110646 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 101491381
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