With the recent rapid improvements in high-throughout genotyping techniques, researchers are facing a very challenging task of large-scale genetic association analysis, especially at the whole-genome level, without an...
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With the recent rapid improvements in high-throughout genotyping techniques, researchers are facing a very challenging task of large-scale genetic association analysis, especially at the whole-genome level, without an optimal solution. In this study, we propose a new approach for genetic association analysis based on a variable-sized sliding-window framework. This approach employs principal component analysis to find the optimal window size. Using the bisection algorithm in window size searching, the proposed method tackles the exhaustive computation problem. It is more efficient and effective than currently available approaches. We conduct the genome-wide association study in Genetic Analysis Workshop 16 (GAW16) Problem 1 data using the proposed method. Our method successfully identified several susceptibility genes that have been reported by other researchers and additional candidate genes for follow-up studies.
As the penetration of wind generation increases, the uncertainty it brings has imposed great challenges to power system operation. To cope with the challenges, tremendous research work has been conducted, among which ...
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As the penetration of wind generation increases, the uncertainty it brings has imposed great challenges to power system operation. To cope with the challenges, tremendous research work has been conducted, among which two aspects are of most importance, that is, making immune operation strategies and accessing the power system's capability to accommodate the variable energy. Driven and inspired by the latter problem, this paper will discuss the power system's capability to accommodate variable wind generation in a probability sense. Wind generation, along with its uncertainty is illustrated by a polyhedron, which contains prediction, risk, and uncertainty information. Then, a three-level optimisation problem is presented to estimate the lower probability bound of power system's capability to fully accommodate wind generation. After reformulating the inner max-min problem, or feasibility check problem, into its equivalent mixed-integer linear program (MILP) form, the bisection algorithm is presented to solve this challenging problem. Modified IEEE systems are adopted to show the effectiveness of the proposed method.
RFID data in the form of LQI and RSSI values are collected at different distances from their sources. Data values are calibrated with respect to these distances. Unknown distance of a measurement point from a source c...
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RFID data in the form of LQI and RSSI values are collected at different distances from their sources. Data values are calibrated with respect to these distances. Unknown distance of a measurement point from a source can be calculated by using calibration curves. Bi-section algorithm is introduced with these calibration curves and the unknown measurement location is calculated automatically. MATLAB is used during the calculations.
The contemporary relevance of environmental protection has gained greater importance around the world, to the point where many countries, such as Germany, Holland, Japan, European Union, and Taiwan, have taken heed an...
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The contemporary relevance of environmental protection has gained greater importance around the world, to the point where many countries, such as Germany, Holland, Japan, European Union, and Taiwan, have taken heed and initiated a range of policies. Concepts such as green manufacturing and sustainable management are used to describe interventions that utilize appropriately natural resources in an endeavor to decrease any harm that may result when enterprises handle the wastes they produce. The literature emphasizes the issues relating to recycling products rather than recycling containers;that in-turn could attract considerable cost-benefits. This paper discusses the development of a simulation model that incorporates reverse logistics. Application and testing of the model is facilitated using the case of transportation containers used by Toyota automobile company. Empirical findings indicate that the operational cost-benefits using reusable containers are better than the expendable containers. The concept of reusable containers as depicted in the model is further explored to identify the optimum economic quantities. Model architecture used a method of integrated bisection algorithm and an artificial intelligence search algorithm.
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