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This paper studies the combined evaluation of new energy projects in electric power enterprises based on the fuzzy hierarchical evaluation method. According to the engineering data of XM power plan...

Background: With the declining trend of new drugs yield each year, more comprehensive knowledge of drug MoAs can help identify new applications of available drugs and discovery novel mechanism of drug action. Objective: Therefore, construction of a specialized drug mode of action (MoA) database is of paramount importance for new drug research & development. Methods: This paper introduces an integrated database for drug mode of action knowledge (MoABank). Results: This database can provide the knowledge about drug MoAs, targets, pathways, side effects and other drug-related information for researchers. Conclusion: We believe MoABank can make it more convenient for users to obtain the drug MoA information in the future.

As load and renewable penetration continues to grow, optimal placement and sizing of substations is becoming increasingly important in distribution system planning. This paper presents an improved methodology to solve the substation siting and sizing problem based on geographic information and supervised learning. The proposed approach can optimize the locations, capacities, and power supply ranges of substations with minimum investment and annual operation costs. Capital cost of land adds complexity and difficulty to the substation placement problem, especially for highly developed urban areas. This paper presents a theoretical framework to determine the optimal location of substations considering the cost of land. The state-of-the-art parallel computing techniques are employed so that co-optimization for substations of multiple voltage levels can be directly conducted in a computational efficient way. Case studies are presented to demonstrate the effectiveness of the proposed approach.

As load and renewable penetration continue to grow, optimal placement and sizing of substation is becoming increasingly important in distribution system planning. This paper presents an improved methodology to solve the substation siting and sizing problem based on geographic information and supervised learning. The proposed approach can optimize the locations, capacities, power supply ranges of substations with minimum investment. Capital cost of land adds complexity and difficulty to the substation placement problem, especially for highly developed urban areas. This paper presents a theoretical framework to determine the optimal location of substations considering the cost of land. The state-of-the-art parallel computing techniques are employed so that co-optimization for substations of multiple voltage levels can be directly conducted in a computational efficient way. Case studies are presented to demonstrate the effectiveness of the proposed approach.

Image classification is a method that distinguishes the different categories of targets based on the different features of image. The current problem usually is that the feature modeling of target has a great influence on recognition robustness. In order to solve this problem, a correlation-based method is presented to optimize the bag-of-visual-word (BOVW) model by reducing the dictionary size. The features with strong relevance to categories are preserved to establish a visual dictionary. The modest visual dictionary is trained by support vector machine (SVM) classifier and its properties are analyzed. Finally, the effectiveness of the method proposed in this paper is validated through experiments. The experimental results demonstrate that the presented idea not only improves the robustness and accuracy of image classification, but also works well on practical problem.

The hierarchical control architecture, including layers of primary, secondary and tertiary controls, is becoming the standard operating paradigm for microgrids (MGs). Two major factors that limit the adoption of existing hierarchical control in microgrid are the low accuracy in reactive power sharing and the requirement for complex communication infrastructure. This paper addresses this problem by proposing a novel distributed primary and secondary control for distributed generators dispersed in a multi-bus microgrid. The proposed method realizes voltage control and accurate reactive power sharing in a distributed manner using minimum communication. Each distributed generator only needs its own information and minimum information from its neighboring units. Topology of the network can be flexible which supports the plug-and-play feature of microgrids. In a distribution system, high R/X ratio and system imbalance can no longer be neglected and thus the sequence component analysis and virtual impedance are implemented in the proposed control framework. The proposed framework is validated by simulation results on a MG testbed modified from the IEEE 13-bus distribution system.

As the measuring accuracy of a light open 3D vision coordinate measuring system depends on the accurate center position of a probe tip,this paper proposed a novel and simple approach based on the model of measuring system for calibrating the center position of probe tip for the light pen.Based on position invariant principle,the objective function was established according to the control point information of every image.Then,the general inverse method for least square solution of nonlinear multivariable equations was employed to solve the object function and to obtain the center position of probe tip.Finally,average theory was used to improve the stability and convergence speed and to implement the calibration with a reference standard cone.The experimental results demonstrate the effectiveness of the proposed approach.Under a satisfied convergence speed,the repeatability of the system reaches 0.033,0.030 and 0.043 mm in x,y and z axes,respectively.A comparison on the measured circle diameter of a workpiece and a reference shows that the system measurement accuracy has met medium precision industrial measurement requirements with the calibrated probe tip center.

This study intends to propose a novel approach based on fuzzy synthetic evaluation in order to realize power enterprise supply chain performance evaluation. Through the characteristic analysis of power enterprise supply chain, a 2-dimensions mesh framework for power enterprise supply chain performance evaluation is put forward, and the indexes of power enterprise supply chain performance evaluation are proposed. Furthermore, the evaluation criteria for each index are established and the evaluation approach based on fuzzy synthetic evaluation for power enterprise supply chain is developed. Finally, an example is presented and the proposed approach is proved feasible and efficient.

This paper presents a robust data-driven framework for clustering large-scale daily chronological load curves from smart meters, with a focus on the challenges encountered in practice. The first challenge is the low data quality issue due to bad and missing data, which has been a major obstacle for various in-depth analyses of smart meter data. A novel Smoothed Alternating Least Squares (SALS) approach is proposed to recover missing/bad smart meter data by taking advantage of their low-rank property. The second challenge is brought by different data reporting rates of smart meters. A Dynamic Time Warping (DTW)-based approach is proposed that is more efficient and eliminates the need for data interpolation or measurement downsampling. The proposed approach enables flexible data collection strategies and gateway locations to meet various smart grid performance requirements. The proposed framework is tested through experiments using real-world smart meter data.

A computer-controlled system for plasma ion energy auto-analyzer was technically studied for rapid and online measurement of plasma ion energy distribution. The system intelligently controls all the equipments via a RS-232 port, a printer port and a home-built circuit. The software designed by Lab VIEW G language automatically fulfils all of the tasks such as system initializing, adjustment of scanning-voltage, measurement of weak-current, data processing, graphic export, etc. By using the system, a few minutes are taken to acquire the whole ion energy distribution, which rapidly provides important parameters of plasma process techniques based on semiconductor devices and microelectronics.

DOI has been widely used in the field of digital information resources at home and abroad. This paper not only discusses the analysis of DOI resolution mechanism including the single resolution and multiple resolutions, but also prospects on the automatic multiple resolutions. Then it analyses the current development of the Chinese DOI system. Finally, this article puts forward some development suggestions of Chinese DOI.

The purpose of this paper is to overview the honeypot and honeynet technologies, based on thorough analysis of the deficiency of obtain employment information network's security their concealment and security, a design of high concealed and high safe honeypot system has to be implemented successful. In the end, this paper validates the systematic design by performing the experiments.

By integrating Struts2, Spring and Hibernate lightweight frame technology, using ExtJS technology to build rich client applications, setting up HTTP server of Apache and Tomcat load balance, a demand and supply system about sponsorship based on B/S structure between enterprise and university is designed and implemented. Its functional requirements, part of core codes and key technology are provided. As an electronic business platform, this system provides opportunities for online communication and cooperation for univsersities and enterprises. And it can be applied to solve the problem of effectively integrating student associations in universities and enterprise resources.

On all countries building an innovation-oriented national strategy, this issue studies on the establishment of evaluation index system of science and technology policy implementation level and states technique and criterion of concrete evaluation indexes detailed. And the author indicates applied prerequisite and range.

In order to realize information integration and information sharing of technique preparation process, idea of ontology was applied in technique preparation process. The definition and structure of technique preparation domain ontology were put forward. Moreover, the framework of an intelligent approach for construction technique preparation domain ontology was proposed and similarity computing approach of domain ontology was presented. Furthermore, the similarity relation between concepts was elaborated and domain ontology merging rules were designed to resolve the problem of domain ontology consistency. Finally, an application case was illustrated and the approach was demonstrated efficient.

In image processing and computer vision, snake (active contour model) is an effective tool in implementing brim detection or contour extraction of object. But the snake algorithm has the deadly shortcoming - the result is affected by the origin position. In this paper, proposed a new modified algorithm combining centric algorithm into the snake algorithm, so get the priority information of the origin position. The algorithm reduces sensitivity to initialization while providing superior performance. Finally the results of the computer simulation show the advantage of the new algorithm.

In this paper, we evaluate scalable coherent interface (SCI) as avionics real-time network. An OPNET based SCI node model is established. The results of our preliminary experiments show that a certain utilization of network load should be maintained in order to guarantee the timely delivery of real-time messages in avionics system where basic SCI ring is adopted.

IEEE Standard 1596 Scalable Coherent Interface (SCI) a COTS technology, is one of the candidate architectures for a "Unified Network." Its basic topology is a buffer insertion ring. Messages can be transmitted concurrently on the ring, thus can achieve high throughput. But problems exist when using SCI in real-time applications. The difficulty mainly results from its buffer-insertion feature which makes the latency of real-time messages difficult to predict. The goal of this study is not to solve the problem of using SCI for general real-time applications but to provide a bandwidth allocation scheme for synchronous messages transmission in avionics environments. The scheme is based on features of avionics interconnections and the bandwidth allocation scheme in slotted ring. An improved SCI protocol is proposed and schedulable network utilization is given.