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Predict Optimal Transmission Power by Comparing Three Fading Channel (Rayleigh, Rician & Shadowing) using random strategy
This paper focus on the design and construction of an optimization charging system for Li–Po batteries by means of tracked solar panels. Thus, the implementation of a complete energy management system applied to a robotic vehicle. The construction of a solar tracking mechanism aimed at increasing the power regardless of its mobility. An alternative design of power system performance based on a pack of two batteries is proposed.
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Under the background of port supply chain strategic alliances,we clarify the current situation of Rizhao Port by SWOT analysis and find out the ST strategy for it, furthermore, we screen out the optimal cooperation partner for Rizhao Port under different alliance forms range from horizontal integration and vertical integration to the blended dynamic logistics alliance.
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- Electrical discharge machining (EDM) is one of the most extensively disseminated manufacturing technologies, in particular as regards the generation of precise and difficult geometrical shapes on hard metallic components. The objective of this paper is to Study on Effect of Powder Mixed dielectric in EDM of Inconel 718. The effect of various powder mixed in dielectric is studied input parameters like Duty cycles, current, pulse on time and powder media in that Silicon carbide, Aluminium oxide, Graphite powder used. Machining characteristics measured in terms of Material removal rate, tool wear rate. To obtain the optimal process parameter combination, optimization is carried out by the Signal-to-Noise (S/N) ratio analysis of Taguchi method using L18 Orthogonal Array. An analysis of variance (ANOVA) is used to present the influence of process parameters on material removal rate, tool wear rate. Results obtained by Taguchi method and by ANOVA method, are compared
Eyelid oncology is of growing importance whose early diagnosis saves the visual system. Overview of eyelid tumours guides ophthalmologists to design for optimal therapy. We carried out the study to assess the incidence of eyelid neoplasms with respect to age, sex, location and histopathological type.
Well-organized big data get together in the densely distributed sensor networks is, therefore, a challenging research area. One of the most effective solutions to address this challenge is to utilize the sink node’s mobility to facilitate the data gathering. While this technique can reduce energy consumption of the sensor nodes, the use of mobile sink presents additional Challenges such as determining the sink node’s trajectory and cluster formation prior to data collection. In this paper, we propose a new mobile sink routing and data gathering method through network clustering based on modified ExpectationMaximization (EM) technique. In addition, we derive an optimal number of clusters to minimize the energy consumption. The effectiveness of our proposal is verified through numerical results.