In this paper, we research on the modern Internet of things system structure optimization methodology based on the information theory and the communication signal transmission model. We analyze the current IOT system ...
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In this paper, we research on the modern Internet of things system structure optimization methodology based on the information theory and the communication signal transmission model. We analyze the current IOT system from the following aspects. (1) Reliable delivery, that is, through some of the Internet and telecommunication network integration, it will send some information about the object accurately in real time;For the Internet of things, it is an integrated which is by a variety of network and the access and application technology of an integrated, at the same time it is also a can make the objects and people, nature and people as well as a platform for communication between objects and the objects. (2) The comprehensive perception which is to use some of the perception, capture and real-time measurement technology to information acquisition and access to an object with the sensing device can achieve data readout and data sent and no contact some automated to realize long-distance induction. (3) Intelligent processing, is one of the core content of the Internet of things, is to use some intelligent computing some analysis was carried out on large amount of information and data disposal, the Internet of things is able to intelligently control object by the computer network technology, micro processing technology, wireless communication technology and sensor technology product of development of fusion, therefore the Internet of things can be representative even instead of rational analysis. Through combining the information theory and the efficient signal transmission models, we optimize the current IOT architecture and the final experiment result indicates the feasibility of the proposed methodology.
Nowadays, all enterprises have adopted the means of informatization for enterprise management to adapt to the development of society. With the advent of the information age, enterprise transformation has become an ine...
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Nowadays, all enterprises have adopted the means of informatization for enterprise management to adapt to the development of society. With the advent of the information age, enterprise transformation has become an inevitable trend. The management efficiency of enterprises is effectively improved, and the optimal scheduling and efficient management of personnel are realized to design and develop a human resource management (HRM) information system to meet the actual needs of enterprises. By studying the current problems of intelligent enterprise system and HRM information system, based on Java programming language, spring model-view-controller (MVC) web application system is combined with browser/server (B/S) framework, and construction is realized on an intelligent enterprise HRM information system. Aiming at the complexity of enterprise HRM, the meta-heuristic algorithm is adopted to optimize the human resource optimization scheduling module. Through the specific example data, the system implementation and model performance comparison experiments are carried out to further verify the effectiveness of the intelligent enterprise HRM information system proposed here. The results show that the HRM information system based on intelligent enterprise system realizes the effective collection and sorting of data, the running system meets the expected research objectives, and different modules can effectively perform specific functions;the algorithm based on meta-heuristic can realize the reasonable scheduling of personnel, and its model performance is significantly higher than the latest algorithm model. With the continuous increase in the number of events, what is improved is the optimal solution ability of the algorithm. Moreover, it decreases with the increase in the number of iterations, converging around 80 times, and the optimization efficiency reaches 86.35%;the system can find the optimal solution in a shorter time under the same number of iterations. Besides, after
High temperature proton exchange membrane electrolyzer cell is promising for hydrogen production using excess renewable power. However, system level simulation and optimization are lacking, which is critical for pract...
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High temperature proton exchange membrane electrolyzer cell is promising for hydrogen production using excess renewable power. However, system level simulation and optimization are lacking, which is critical for practical application. In this research, system level models are developed, considering the use of recirculated hydrogen and steam as carrier gases. It is found that the use of recirculated hydrogen shows higher efficiency than steam as a carrier gas due to lower thermal energy input, especially under the large steam stoichiometric excess ratio. Moreover, the effects of the working temperature and gas flow rate on the energy demand and energy efficiency are studied. The hydrogen recirculation system is more sensitive to the effects of temperature, and the steam carrier gas system has a lower thermoneutral voltage. Compared with the hydrogen recirculation system, the current density that corresponds to the optimal energy efficiency point of the steam carrier gas system is higher. At a gas flow rate of 0.015 mol s(-1), the current density at the optimal energy efficiency point of the hydrogen recirculation system is 7700 A m(-2), while that of the steam carrier gas system is 8800 A m(-2). The study can guide the integration of the electrolyzer system.
The redundancy allocation problem (RAP) has been widely studied, which aims to identify the optimal design to achieve the best system indicators, such as system reliability or availability, under certain constraints. ...
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The redundancy allocation problem (RAP) has been widely studied, which aims to identify the optimal design to achieve the best system indicators, such as system reliability or availability, under certain constraints. This problem has been studied well in the single phased mission systems. But many practical systems, like the manmade satellites or spacecraft, perform a series of tasks in multiple, consecutive, non-overlapping time durations (phases). For these multi-phased systems, dependencies among the phases need to be fully considered. To address this problem, the RAP of the phased mission systems (PMSs) is studied in this paper. Moreover, in order to improve system reliability as much as possible, the mixed redundancy strategy where both active and cold standby components can be simultaneously used in a subsystem is applied. The non-exponential components, which are more practical, are also considered. The Semi-Markov process (SMP) as well as a numerical approximation method are used to deal with the dynamic non-exponential components. Then, an improved Genetic algorithm (GA) is used to determine the types and quantities of active and cold-standby components in each subsystem to optimize the whole system. At last, the propulsion system in a spacecraft is optimized to illustrate the proposed method.
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