Artificial bee colony based algorithm for maximum power point tracking (MPPT) for PV systems operating under partial shaded conditions

Artificial bee colony (ABC) algorithm has several characteristics that make it more attractive than other bio-inspired methods. Particularly, it is simple, it uses fewer control parameters and its convergence is independent of the initial conditions. In this paper, a novel artificial bee colony based maximum power point tracking algorithm (MPPT) is proposed. The developed algorithm, does not allow only overcoming the common drawback of the conventional MPPT methods, but it gives a simple and a robust MPPT scheme. A co-simulation methodology, combining Matlab/Simulink™ and Cadence/Pspice™, is used to verify the effectiveness of the proposed method and compare its performance, under dynamic weather conditions, with that of the Particle Swarm Optimization (PSO) based MPPT algorithm. Moreover, a laboratory setup has been realized and used to experimentally validate the proposed ABC-based MPPT algorithm. Simulation and experimental results have shown the satisfactory performance of the proposed approach.     

Denying History: Comment.

Comments on an article by Eidelson and Eidelson (see record 2003-03645-004) which made an important contribution, at a critical juncture, to the discussion of international conflicts by identifying core dimensions that allow for the systematic examination of the problem. Their article also posed a danger that mirrors a disturbing trend in the public discourse about conflicts and injustice. In response to the recent escalation of international violence and years of mixed results of engagement in debates centered around grievances of injustice (such as the Palestinian-Israeli conflict), many politicians, pundits, and scholars have advocated addressing conflicts by separating them from the underlying grievances and the ongoing injustice. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

浅谈抽水蓄能电站的特点及其优越性

本文介绍了国外抽水蓄能电站的发展过程与现状，修建抽水蓄能电站的八大优点。为了改善我省电力系统的运行条件，提出了在我省修建抽水蓄能电站的四点建议。     

Ant colony optimization approach to estimate energy demand of Turkey

This paper attempts to shed light on the determinants of energy demand in Turkey. Energy demand model is first proposed using the ant colony optimization (ACO) approach. It is multi-agent systems in which the behavior of each ant is inspired by the foraging behavior of real ants to solve optimization problem. ACO energy demand estimation (ACOEDE) model is developed using population, gross domestic product (GDP), import and export. All equations proposed here are linear and quadratic. Quadratic_ACOEDE provided better-fit solution due to fluctuations of the economic indicators. The ACOEDE model plans the energy demand of Turkey until 2025 according to three scenarios. The relative estimation errors of the ACOEDE model are the lowest when they are compared with the Ministry of Energy and Natural Resources (MENR) projection.     

浅议实施差异化战略的措施

随着我国市场的开放，企业面对的竞争日趋激烈，而且企业的竞争优势主要表现为差异化。根据差异化与买方价值的关系，通过技术创新、观念创新实施差异化。     

基于蚁群算法的区域覆盖卫星星座优化设计

首先建立了以区域覆盖性能为目标的卫星星座参数优化模型,通过在连续域定义新的蚂蚁分类与转移策略改进了蚁群算法,使算法能够兼顾多目标优化时目标不兼容的情况,给出了基于该算法实现星座参数优化的框架。优化仿真实验验证了该算法的有效性,可为星座方案决策提供有力的支持。     

论薄板坯连铸连轧产品质量优势

通过对薄板坯连铸连轧工艺的分析，深入研究了其产品的质量优势，同时还指出了在产品生产过程中需要重点注意解决的一些问题。     

Dangerous ideas: Five beliefs that propel groups toward conflict.

The toll in death, suffering, and displacement caused by conflicts engaging groups defined by ethnicity, nationality, religion, or other social identities has reached staggering proportions over the past decade. With expertise in research and intervention, psychologists have critical contributions to make to more fully understanding and more effectively confronting this distressing global phenomenon. The authors focus on the parallels between the core beliefs of individuals and the collective worldviews of groups that may operate to trigger or constrain violent struggles. On the basis of a review of relevant literatures, 5 belief domains--superiority, injustice, vulnerability, distrust, and helplessness--are identified as particularly important for further study. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

一种空间信息网络缓存决策策略

针对空间信息网络（space information network,SIN）中卫星节点缓存容量有限,且卫星高速移动使得星间链路时变,导致地面用户内容访问延迟增大的问题,提出一种基于人工蜂群算法的空间信息网络缓存决策策略（satellite improved artificial bee colony,SIABC）。首先根据低轨卫星节点链路切换的周期性和可预知性,建立网络分区模型,对空间信息网络的卫星节点进行分区,在此基础上,建立区域节点协作缓存模型,使得整个网络区域内的卫星节点有选择性地缓存不同流行度的内容,同时兼顾区域内节点的协作缓存,从而流行度高的内容缓存在网络边缘。仿真结果表明,与现有缓存机制相比,该缓存策略能够明显提高内容的平均缓存命中率,并显著降低用户的内容访问时延。