吸附塔格栅分配管系的结构优化分析

为了优化吸附塔的内构件——格栅的结构,基于流体力学理论,针对格栅中的分配管系进行物理模型的建立和流场的数值模拟。采用FLUENT软件分析了分配管系中分配室的5个几何参数a-e对分配管系中流体在出口的质量流量不均匀度的影响。计算结果表明,当a=13、b=250、c=160、d=200、e=120时,出口的质量流量不均匀度在2%-3%之间,远低于性能评价为优的指标10%。同时,分析出口直管段长度对出口的质量流量不均匀度的影响。研究结果表明:出口直管段越长,速度分配越均匀。

The RHSA Strategy for the Allocation of Outbound Containers Based on the Hybrid Genetic Algorithm

Secure storage yard is one of the optimal core goals of container transportation;thus,making the necessary storage arrangements has become the most crucial part of the container terminal management systems（CTMS）.This paper investigates a random hybrid stacking algorithm（RHSA） for outbound containers that randomly enter the yard.In the first stage of RHSA,the distribution among blocks was analyzed with respect to the utilization ratio.In the second stage,the optimization of bay configuration was carried out by using the hybrid genetic algorithm.Moreover,an experiment was performed to test the RHSA.The results show that the explored algorithm is useful to increase the efficiency.

An Adaptive Management Strategy of CQI Channel Allocation in IEEE 802.16 Systems

IEEE 802.16 systems adopt a "semi-dynamic" allocation mechanism of channel quality indicator (CQI) channels.However,low utilization ratio of CQI channels reduces the spectrum efficiency.So we propose an adaptive management strategy of CQI channels based on an analysis model named "toy brick model" to improve the efficiency.The simulation results validate the improvement.

Investor＇s Portfolio Allocation by Financial Asset Classes Using Fuzzy Logic-Based Approach in Decision Support System

The paper present the fuzzy logic expert system called MADSYS for an investor＇s portfolio allocation by financial asset classes. MADSYS system will be used in the interface agent （agents） of multi-agent investment management information system. One of the principal tasks of the multi-agent system is to help an investor to make investment decisions and to provide appropriate investment proposals according to the investor＇s profile. From MADSYS depends a lot of things, namely the multi-agent investment management information system accuracy, proposed investment decisions, the right portfolio allocation of financial assets, reliability and investor satisfaction. The usage of MADSYS system in the multi-agent system makes it more intellectual, i.e. the system will be able to adjust automatically to the changing of investor profile. The MADSYS system may be tried online at the following address：www.sprendimutechnologij os.lt/webapp.

The Dynamic Model of Allocation Control in Venture Capital

The allocation of control and stock in venture capital is the key point of the venture capital project.This paper develops a dynamic model of control and stock and profoundly analyses how to allocate the control between the entrepreneur and the venture capitalist.The model reveals the relationship of control and stock's structure,the time and the degree of imparting the control to the entrepreneur or the venture capitalist,the condition of retracting the control and compensation accordingly.

A New Optimization Approach for Transmission Usage Allocation in Deregulated Power System

Deregulation of power system industry is a very large complex exercise based on respective national energy strategies and policies. A lot of matters and knowledge need to be studied before the idea of deregulation can be implemented. Theoretically, it is said that deregulation can make a large impact to increase efficiency and encourage the competitiveness among related parties. However, to implement the concept of deregulation to electric power supply is very tough challenge. In deregulation environment, regardless of market structure, to know the transmission usage allocation is vital and very a complex problem. Thus, a lot of algorithms have been proposed to overcome it. This paper intends to solve the transmission usage allocation problem using optimization approach. The optimization tool that will be utilized is Genetic Algorithm （GA）. GA is probabilistic search technique that has its roots in the principle of genetics and strives for survival. In addition, GA is very robust. Since the nonlinear nature of power flow, it is expected that GA can give optimize results that equitable and acceptable. In this paper, 4-bus and Klos-Kerner 11-bus systems are used for analysis studies. Comparison with other method is also given in this paper.

Models for Initial Allocation of Emission Permits in a River Basin During Industrial Development:A Case Study of Huaihe River Basin,China

At present,water pollutant emission trading plays an increasingly important role in pollution control in many foreign countries,and its pilot studies and demonstration have also been started in China.In order to solve the problem of initial allocation of emission permits:premise and basis of emission trading in a river basin,basic principles on initial allocation of actual emission permits in China are put forward.And it is thought that local development stage of industry should be taken into full account for initial allocation model of emission permits.There are five different allocation models in different development stages of industry,including models like distribution according to needs,improved same-rate reduction,performance,integration and environmental capacity,etc.The initial allocation of emission permits in various basins should choose a suitable model in accordance with their respective development stages.It is suggested in this article that integrated allocation model should be a main choice for current development stage of industry in China.

Budget Allocation for Information Logistics in Taiwan Residents University

This research serves the primary purpose to support the reform of administration budgets for Taiwan Residents universities to optimize their document processing system. The main research method applied is quantitative analysis to explore the relationships between document quantity and each administration spending. The research observes that Taiwan Residents universities in general rely more on electronic systems to manage documents. Therefore, as proven by correlation test and regression model, personnel spending and miscellaneous spending are the only two categories which can help predict document flows. However, only miscellaneous spending is positively related to document quantity, so this category should be allocated with more funding. Personnel spending, on the contrary, should be less. For the long-term budgeting strategy, Taiwan Residents universities should begin with discovering problems from the existing system, design an allocation plan, execute the plan, and finally evaluate the outcomes. This project is on the first to explore the new academic research field which relates to logistics, budgeting, and university administration.

An Intelligent System for a Resource Allocation Problem Based on Fuzzy Reasoning

The development of the assistive abilities regarding the decision-making process o fan Intelligent Control System （ICS） like a fuzzy expert system implies the development of its functionality and its ability of specification. Fuzzy expert systems can model fuzzy controllers, i.e., the knowledge representation and the abilities of making decisions corresponding to fuzzy expert systems are much more complicated that in the case of standard fuzzy controllers. The expert system acts also as a supervisor, creating meta-level reasoning on a set of fuzzy controllers, in order to choose the best one for the management of the process. Knowledge Management Systems （KMSs） is a new development paradigm of Intelligent Systems which has resulted from a synergy between fuzzy sets, artificial neural networks, evolutionary computation, machine learning, etc., broadening computer science, physics, economics, engineering, mathematics. This paper presents, after a synergic new paradigm of intelligent systems, as a practical case study the fuzzy and temporal properties of knowledge formalism embedded in an ICS. We are not dealing high with level reasoning methods, because we think that real-time problems can only be solved by rather low-level reasoning. Solving the match-time predictability problem would allow us to build much more powerful reasoning techniques.

Effect of Zusanli(ST 36) moxibustion on rat mesenteric microvascular system

OBJECTIVE: To investigate the effect of moxibustion on Zusanli(ST 36) on visceral-mesenteric vesselsbyobservingcirculation.METHODS: Forty-five SD rats were randomly assigned to a moxibustion, electroacupuncture(EA),and blank group. In the moxibustion group, heat stimulation of moxibustion to the Zusanli(ST36)area of normal rats was performed for 15 min. In the EA group, needles were inserted into the Zusanli(ST36)and later alpoint[0.5 cm lateral from Zusanli(ST 36)] for 15 min. The blank group was not given any treatment. We continuously monitored mesenteric microvascular changes with invivo microscopicvideo.RESULTS:Moxibustion and EA to Zusanli(ST 36) increase the diameter of mesenteric arterioles and venules(P<0.05). There were no obvious changes in the blank group. Fine arterial diameter peaked at12 min in the moxibustion group, while it peaked at15 min in the EA group.CONCLUSION:The stimulation of moxibustion and acupuncture to Zusanli(ST 36) has immediate effects on expanding the microvasculature. This dilation may be the mechanism of the gastrointestinal effect of Zusanli(ST36).

A GA Based Algorithm to Solve the Multi-stage Supply Chain Optimization Problem

The multi-stage supply chain optimization problem is an important subject for research. Syaxif et al. have studied the problem formulated by a 0-1 mixed integer linear programming model, and presented a st-GA （spanning tree-based genetic algorithm） by using Priifer number representation as the solution method of the model. On the basis of the work done by Syarif et al., a rst-GA （revised st-GA ） to solve the multi-stage supply chain optimization problem, is presented in this paper by means of introducing new sym- metric encoding ＆ decoding procedures of Priifer number, and adopting new chromosome＇s decoding strategy, etc. To facilitate building related decision-making support system, a C language implementation method of the rst-GA is also presented in this paper. Numerical experiments have validated that the rst-GA has better performance than the st-GA.