On the long and well-worn road of many, but justifiable attempts of human to discover his origin, his trajectory as a species, and a suitable understanding consciousness, his system allowing the connection to the envi...On the long and well-worn road of many, but justifiable attempts of human to discover his origin, his trajectory as a species, and a suitable understanding consciousness, his system allowing the connection to the environment and to his own organism, the concepts and models of philosophy enunciated or experienced by millennia, meet today with modern science concepts of physics and of science of information. Based on recent discoveries of quantum physics and astrophysics, revealing a new understanding of our environment and starting from some philosophical concepts on information of matter and of living structures, this work discusses the dynamics of information within the frame of the Informational Model of Consciousness as an informational system of the human body, connected both to the environment and to the body itself, to control the adaptation for survival. It is shown that consciousness is actually an informational projection in the mind of seven informational subsystems, three of which forming the operative system of consciousness for the short-term adaptation, and other three forming the programmed operating system, dedicated to the maintenance of body and to the long-term survival of species, showing various inputs and outputs of information. The seventh subsystem is the information pole, connecting the organism with the external information, especially related to the extra-sensorial properties of the mind, the human body appearing as a bipolar info-matter structure, managed by the brain. The received information is progressively integrated into the informational system of the organism, which absorbs and emanates information as a reactive system for adaptation, able to operate both with matter-related (codified) and non-matter related (virtual) information. As both connections with external and internal environment (body itself) can be described in terms of information, this model opens the gate to investigate consciousness by means of the tools of the information science, offering also answers to the philosophic “mind-body” problem and to the “hard” problem and showing correspondences with some ancient philosophies.展开更多
Visual-based defect detection efficiently monitors the health and quality of construction and industrial products.However,current defect detection methods often improve detection accuracy at the cost of lower inferenc...Visual-based defect detection efficiently monitors the health and quality of construction and industrial products.However,current defect detection methods often improve detection accuracy at the cost of lower inference speeds or more parameters,struggle with complex data representation,emphasize target features while neglecting environmental information importance,and utilize convolutional or max pooling operations for downsampling,leading to more feature loss.To address these issues,this work presents a low complexity,accurate defect detection network augmented by environmental information-assisted and flexible activation functions to enhance the neural network performance on complex data representation.Environmental information-assisted module is designed for defect detection tasks to assist in accurately locating and predicting defects.Moreover,this work restructure features post-downsampling to mitigate feature loss and design a simple feature module called deep-global fusion that integrates deep and global features to enhance detection performance.Extensive experiments validate the superiority of the proposed detection network.The deployment of the network on edge computing devices confirms its competitive advantage in portability and reliability.展开更多
文摘On the long and well-worn road of many, but justifiable attempts of human to discover his origin, his trajectory as a species, and a suitable understanding consciousness, his system allowing the connection to the environment and to his own organism, the concepts and models of philosophy enunciated or experienced by millennia, meet today with modern science concepts of physics and of science of information. Based on recent discoveries of quantum physics and astrophysics, revealing a new understanding of our environment and starting from some philosophical concepts on information of matter and of living structures, this work discusses the dynamics of information within the frame of the Informational Model of Consciousness as an informational system of the human body, connected both to the environment and to the body itself, to control the adaptation for survival. It is shown that consciousness is actually an informational projection in the mind of seven informational subsystems, three of which forming the operative system of consciousness for the short-term adaptation, and other three forming the programmed operating system, dedicated to the maintenance of body and to the long-term survival of species, showing various inputs and outputs of information. The seventh subsystem is the information pole, connecting the organism with the external information, especially related to the extra-sensorial properties of the mind, the human body appearing as a bipolar info-matter structure, managed by the brain. The received information is progressively integrated into the informational system of the organism, which absorbs and emanates information as a reactive system for adaptation, able to operate both with matter-related (codified) and non-matter related (virtual) information. As both connections with external and internal environment (body itself) can be described in terms of information, this model opens the gate to investigate consciousness by means of the tools of the information science, offering also answers to the philosophic “mind-body” problem and to the “hard” problem and showing correspondences with some ancient philosophies.
基金supported in part by the Inno HK initiative of the Innovation and Technology Commission of the Hong Kong Special Administrative Region Government via the Hong Kong Centre for Logistics Roboticsin part by the Research Grants Council of Hong Kong SAR under Grant Nos.14217922 and 14209623。
文摘Visual-based defect detection efficiently monitors the health and quality of construction and industrial products.However,current defect detection methods often improve detection accuracy at the cost of lower inference speeds or more parameters,struggle with complex data representation,emphasize target features while neglecting environmental information importance,and utilize convolutional or max pooling operations for downsampling,leading to more feature loss.To address these issues,this work presents a low complexity,accurate defect detection network augmented by environmental information-assisted and flexible activation functions to enhance the neural network performance on complex data representation.Environmental information-assisted module is designed for defect detection tasks to assist in accurately locating and predicting defects.Moreover,this work restructure features post-downsampling to mitigate feature loss and design a simple feature module called deep-global fusion that integrates deep and global features to enhance detection performance.Extensive experiments validate the superiority of the proposed detection network.The deployment of the network on edge computing devices confirms its competitive advantage in portability and reliability.
