http://aspress.org/index.php/tnic/issue/feed ASP Transactions on Neural Information Computing 2022-06-03T04:22:38+08:00 Marley Vellasco marley.vellasco@aspress.org Open Journal Systems <p>ASP Transactions on Neural Information Computing welcomes theoretical contributions aimed at winning further understanding of neural networks and learning systems, including, but not restricted to, architectures, learning methods, analysis of network dynamics, theories of learning, self-organization, biological neural network modelling, sensorimotor transformations and interdisciplinary topics with artificial intelligence, artificial life, cognitive science, computational learning theory, fuzzy logic, genetic algorithms, information theory, machine learning, neurobiology and pattern recognition.</p> <p>ASP Transactions on Neural Information Computing covers practical aspects with contributions on advances in hardware and software development environments for neurocomputing, including, but not restricted to, simulation software environments, emulation hardware architectures, models of concurrent computation, neurocomputers, and neurochips (digital, analog, optical, and biodevices).</p> <p>ASP Transactions on Neural Information Computing reports on applications in different fields, including, but not restricted to, signal processing, speech processing, image processing, computer vision, control, robotics, optimization, scheduling, resource allocation and financial forecasting.</p> http://aspress.org/index.php/tnic/article/view/123 Design and Research of Multi-functional Medical Transfer Vehicle Based on Modularization 2022-06-03T04:04:04+08:00 Xinke Pan 854680671@qq.com Qinghan Yang yqing1995@163.com Yanxin Qi qiqi_nanjing@126.com Guodong Liang j0000051@njit.edu.cn <p>To design a multifunctional hospital medical transfer vehicle based on modular design.</p> <p>Methods: Investigate and analyze the risk factors in various aspects of inpatient transfer, and then propose an improvement plan for the transfer vehicle through a design practice approach combined with IoT intelligence and modular design on the basis of the risk factors of patient transfer. The new design of a multi-functional hospital medical transfer vehicle based on modular design enables the transfer vehicle to have the optimal transfer plan in the face of different transfer situations, and the intelligent design enables the transfer vehicle to transmit data more efficiently and improve the efficiency of all parties to grasp the condition. The above design makes the transfer of patients more efficient and safe, and the medical staff more relaxed, and the probability of secondary injuries to critical patients is reduced.</p> 2022-03-31T00:00:00+08:00 Copyright (c) 2022 ASP Transactions on Neural Information Computing