低频低压切负荷的控制负效应及其机理

在有关文献研究功角稳定控制负效应的基础上,分别发现切负荷对暂态频率及电压安全的控制负效应现象。利用扩展等面积准则及暂态频率和电压安全量化理论揭示其机理,探索电力系统稳定问题的复杂性,提高了切负荷控制优化的强壮性。给出一个简单的3机9节点算例可用于重现该现象,并通过大系统中的仿真实例说明问题的现实性。     

Invertebrate drift patterns in a regulated river: dams,periphyton biomass or longitudinal patterns?

Macroinvertebrate drift was sampled at 15 sites along the Tongariro River, New Zealand above and below two hydroelectric dams. Sixty‐seven invertebrate taxa were collected in the drift. Trichoptera (31) were the most diverse, followed by Diptera (13), Ephemeroptera (8) and Plecoptera (8). However, chironomidae were the numerically dominant taxa in the drift throughout the river and represented over 80% of all animals collected. Of these, Orthocladiinae and Diamesinae were the most abundant. Taxonomic richness declined with distance downstream and peaked at sites with intermediate levels of periphyton biomass. The per cent of Ephemeroptera, Plecoptera and Trichoptera (EPT) was 3–4 times higher in the unregulated section of the river and declined exponentially with both distance downstream and increase in periphyton biomass, but densities were similar along the river. Of the measured environmental variables periphyton biomass was most closely linked with drift community structure. Periphyton biomass was six times higher in the lower section of the river than the upper unregulated section. The autocorrelation between periphyton biomass and distance downstream complicates the interpretation of results. However, because of the distinct differences between above and below dam sections of river in periphyton biomass and the strong link between it and invertebrate drift we suggest that the alteration of flow patterns by the hydroelectric dams and the associated shift in periphyton biomass is the most likely explanation for invertebrate drift patterns in the river. Copyright © 2009 John Wiley & Sons, Ltd.     

Water Right Institution and Strategies of the Yellow River Valley

With the rapid economic and social development in China, pressure on water resources in the Yellow River is becoming more and more prominent. For the sustainable social, economic and agricultural development in the Yellow River valley, it is imperative to create the perfect water right institution, which plays a key role in improving the efficiency, equity and sustainability of water use. This article analyzes the problems with the water right institution of the Yellow River valley, which includes unclear definition of water right, ineffective allocation mechanism, low water price, and water pollution. Correspondingly, some measures need taking in order to address these challenges. First of all, the water right, especially tradable water right should be well defined. In the article, water right is defined as a series of water management capabilities and use requirements. Then, water right allocation system should be built up, including examining and approving water usufruct, the paid transfer, and the paid utilization of water right. In the end, based on the well defined tradable water right and the well developed water right allocation system, water right market should be developed, which will promote the transfer to the highest valued water uses. When the water right trade happens, the water right price should be fixed in certain situation. On one hand, the water right price should be raised; on the other hand, the water right price should be determined according to a two-part water price system. Of course, market should not be the only role in the water right institution. The authorities should also be necessarily responsible for water right organizations, which make proper water right law, policy and regulations that assist the smooth going of water right market. There are some other measures for the yellow river, such as a water booklet should be recorded for mastering the detailed situation of water resources in the Valley; the South-to-North Water Diversion Project should be accelerated in order to alleviate the water scarcity. All the above measures will do good to resolve the problems of water resources of the Yellow River valley when they are correctly taken.     

Dewatered alum sludge: a potential adsorbent for phosphorus removal.

Alum sludge refers to the by-product from the processing of drinking water in water treatment works. In this study, groups of batch experiments were designed to identify the characteristics of dewatered alum sludge for phosphorus adsorption. Air-dried alum sludge (moisture content 10.2%), which was collected from a water treatment works in Dublin, was subjected to artificial P-rich wastewater adsorption tests using KH2PO4 as a model P source. Adsorption behaviours were investigated as a function of amount and particle size of alum sludge, pH of solution and adsorption time. The results have shown that pH plays a major role not only in the adsorption process but also in the adsorption capacity. With regard to adsorption capacity, this study reveals the Langmuir adsorption isotherm being the best fit with experimental data (R2 = 0.98-0.99). The maximum adsorption capacities range from 0.7 to 3.5 mg-P/g when the pH of the synthetic P solution was varied from 9.0 to 4.3, accordingly. The outcome of this study indicated that alum sludge is suitable for use as an adsorbent for removal of phosphate from wastewater.     

用基于叠层元的h－p方式自适应有限元计算磁场问题（Ⅱ）

本文是文献［１］的继续。针对二维恒定磁场的边值问题，通过一系列模型题的计算，得到自适应有限元计算时估计误差和实际误差的关系曲线；使得不存在解析解的工程问题，只要算出估计误差，即可由此确定实际误差的值，从而解决了工程上普遍关心的有限元磁场计算的精度问题，为设计和研究工作提供了可靠的依据。     

Test strategies for cost-sensitive decision trees

In medical diagnosis, doctors must often determine what medical tests (e.g., X-ray and blood tests) should be ordered for a patient to minimize the total cost of medical tests and misdiagnosis. In this paper, we design cost-sensitive machine learning algorithms to model this learning and diagnosis process. Medical tests are like attributes in machine learning whose values may be obtained at a cost (attribute cost), and misdiagnoses are like misclassifications which may also incur a cost (misclassification cost). We first propose a lazy decision tree learning algorithm that minimizes the sum of attribute costs and misclassification costs. Then, we design several novel "test strategies" that can request to obtain values of unknown attributes at a cost (similar to doctors' ordering of medical tests at a cost) in order to minimize the total cost for test examples (new patients). These test strategies correspond to different situations in real-world diagnoses. We empirically evaluate these test strategies, and show that they are effective and outperform previous methods. Our results can be readily applied to real-world diagnosis tasks. A case study on heart disease is given throughout the paper.     

The ordered weighted geometric averaging operators

The ordered weighted averaging (OWA) operator was introduced by Yager. 1 The fundamental aspect of the OWA operator is a reordering step in which the input arguments are rearranged in descending order. In this article, we propose two new classes of aggregation operators called ordered weighted geometric averaging (OWGA) operators and study some desired properties of these operators. Some methods for obtaining the associated weighting parameters are discussed, and the relationship between the OWA and DOWGA operators is also investigated. © 2002 Wiley Periodicals, Inc.     

Development of a robotic device for facilitating learning by children who have severe disabilities

This paper presents technical aspects of a robot manipulator developed to facilitate learning by young children who are generally unable to grasp objects or speak. The severity of these physical disabilities also limits assessment of their cognitive and language skills and abilities. The CRS robot manipulator was adapted for use by children who have disabilities. Our emphasis is on the technical control aspects of the development of an interface and communication environment between the child and the robot arm. The system is designed so that each child has user control and control procedures that are individually adapted. Control interfaces include large push buttons, keyboards, laser pointer, and head-controlled switches. Preliminary results have shown that young children who have severe disabilities can use the robotic arm system to complete functional play-related tasks. Developed software allows the child to accomplish a series of multistep tasks by activating one or more single switches. Through a single switch press the child can replay a series of preprogrammed movements that have a development sequence. Children using this system engaged in three-step sequential activities and were highly responsive to the robotic tasks. This was in marked contrast to other interventions using toys and computer games.