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Mm 毫米
Pub Date : 2018-12-07 DOI: 10.4324/9781315062020-13
Thank You
Model : MN09 Series: MN09CES, MN09CESBB, MN09CESWW, MN09CHES, MN09CHESBB, MN09CHESWW MN10 Series: MN10CES, MN10CESBB, MN10CESWW, MN10CHES, MN10CHESBB, MN10CHESWW MN12 Series: MN12CES, MN12CESBB, MN12CESWW, MN12CHES, MN12CHESBB, MN12CHESWW MN13 Series: MN13CES, MN13CESBB, MN13CESWW, MN13CHES, MN13CHESBB, MN13CHESWW MM14 Seri s: MM14CCS, MM14CCSBB, M 14C SW , M 14CHCS, MM14CHCSBB, M14 C MP08 Series: MP08CES, MP08CES B, P08C 9 9 9 9 MP10 Series: MP10CES, MP10CES B, MP10C F08 Series: F F Customer Support: Assistance Au Client: Servicio de atencion a clientes: USA/ EE.UU: 1-800-474-2147 CANADA/ CANADÁ#: 1-888-209-0999
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引用次数: 0
Tt
Pub Date : 2018-12-07 DOI: 10.4324/9781315062020-20
D. Sach, C. loại, động vật, bị nghiêm, cấm tiêu, thụ dưới, mô hình, T.M. O, V. Nam, sau đây, bao gồm, những loài, T. Thầy, này đều, được đưa, vào Sách, Đ. Việt, Nam, Hơn nữa, hầu hết, trong danh sách, N. Phu
S-001 GENERAL STRUCTURAL NOTES S-002 TYPICAL STRUCTURAL DETAILS S-201 STRUCTURAL PLAN SEAWALK S-202 STRUCTURAL PARTIAL PLAN SEAWALK WEST S-203 STRUCTURAL PARTIAL PLAN SEAWALK WEST S-204 STRUCTURAL PARTIAL PLAN SEAWALK WEST S-205 STRUCTURAL PARTIAL PLAN SEAWALK EAST S-206 STRUCTURAL PARTIAL PLAN SEAWALK EAST S-207 STRUCTURAL PARTIAL PLAN SEAWALK EAST S-208 STAIR PLANSEAWALK WEST S-231 STRUCTURAL SECTIONS SEAWALK S-232 STAIRS SECTIONS SEAWALK WEST S-251 STRUCTURAL DETAILS SEAWALK S-252 FIBERGLASS STAIRS DETAILS AND SECTIONS S-253 STRUCTURAL DETAILS SEAWALK S-258 PILING SCHEDULES AND DETAILS SEAWALK
S-001一般结构说明s-002典型结构细节s-201结构平面图seawalk s-202结构局部平面图seawalk西s-203结构局部平面图seawalk西s-204结构局部平面图seawalk西s-205结构局部平面图seawalk东s-206结构局部平面图seawalk东s-207结构局部平面图seawalk东s-208楼梯平面图seawalk西s-231结构剖面图seawalk s-232楼梯剖面图seawalk西s-251结构细节seawalk s-252玻璃纤维楼梯细节和部分s-253结构细节s-258打桩时间表和细节
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引用次数: 3
Bb
Pub Date : 2018-12-07 DOI: 10.4324/9781315062020-2
J. Kamiński
Dissertação de Mestrado Programa de Pós-Graduação em Engenharia de Produção e Sistemas Universidade Federal de Santa Maria, RS, Brasil Strategic planning of Grêmio Foot Ball Porto Alegrense and Sport Clube Internacional through interpretative models AUTHOR: TAÍS STEFANELLO GHISLENI ADVISER: RUDIMAR ANTUNES DA ROCHA Santa Maria, 16 de agosto de 2005. On several business departaments, the strategic planning is becoming very important and the organizations need to know and understant ist methods to get the success in the business environment. This planning is valid for the development of the sporting organizations, because it keeps aminimun of global vision, as of an adequate definition of its goals and national strategies, as well as with the international scenery. It also propotiates that the organization and the efficiency of the ways for the consecution of its aims includes the community y participation of fans and of the society in the decision about where to allocate the resources. This work analizes like the bases of the estrategic planning are described by bryson, Almeida and Roche, and like ares accepted by the professional football of the clubs: Grêmio Foot Ball Porto Alegrense and Sport Clube Internacional of Porto Alegre. The football clubs are before a conflicting situation: on the one hand, the social pressure covered by the legislation, that requires changes; on the other hand, a financial situation the most Brazilian Clubs (run into debt and without cash in hand) allows evident the administrative inefficiency and the resulting of the devaluation of their products ou mark. So, this research develops in middle of a change process of organization and functioning of these organizations, and it’s in this context that resides its importance for all interesteds. Whit reference to methodology, this work refers to resource of qualitative nature, classified like descriptive, and that used for the development of its process, the study technique of multi-cases.
圣玛丽亚联邦大学系统 硕士学位论文Pós-Graduação em Engenharia de producducal 论文通过解释模型对Grêmio足球阿雷格伦塞港和国际体育俱乐部的战略规划作者:TAÍS STEFANELLO GHISLENI顾问:RUDIMAR ANTUNES DA ROCHA Santa Maria, 2005年9月16日。在一些业务部门,战略规划变得非常重要,组织需要知道和理解在商业环境中获得成功的方法。这种规划对体育组织的发展是有效的,因为它保持了最低限度的全球视野,作为其目标和国家战略的充分定义,以及与国际风景。它还使组织和实现其目标的方式的效率包括社区的参与,球迷和社会对资源分配的决定。本工作分析了战略规划的基础,如bryson, Almeida和Roche所描述的,以及被职业足球俱乐部所接受的:Grêmio足球阿雷格里港和体育俱乐部国际阿雷格里港。摆在足球俱乐部面前的是一种矛盾的局面:一方面,社会压力所覆盖的立法,认为需要变革;另一方面,大多数巴西俱乐部的财政状况(负债累累,手头没有现金)明显显示出行政效率低下,导致他们的产品贬值。因此,这项研究是在组织和这些组织的功能变化过程中发展起来的,正是在这种背景下,它对所有利益都很重要。在方法论上,本工作涉及到定性性质的资源,如描述性的分类,并用于其过程的发展,多案例的研究技术。
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引用次数: 0
Aa Aa
Pub Date : 2018-12-07 DOI: 10.4324/9781315062020-1
Dinâmica Defensiva da Costa do Algarve
Acker Akker mnd. acker, m., n., „Acker, Ackerland, beackertes Land, die gesamte Anbaufläche, das anbaufähige Land eines Besitzers, Ackerstück, Feldstück; auch als Feldmaß"; nnd. Acker, m., „Acker, bebautes Feld“, „urspr. etwa = Streifenparzelle, einzelne Parzelle in einem Gewann"; „häufig im Plural, dann in der Regel den ältesten Teil der Ackerflur signalisierend, die sog. Kernflur" Scheuermann, Ulrich, Flurnamenforschung. Bausteine zur Heimatund Regionalgeschichte, Melle 1995, S. 108
我也爱你"田地,m. n. "在田野里;nnd ."田地上住宅"比如代表胜利的条纹小块独立的小块。”"通常用复数数发信号"中心走廊擦管员乌尔里希《支持家园和地区历史的积木》,Melle 1995页,108页
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引用次数: 0
Dd Dd
Pub Date : 2018-12-07 DOI: 10.4324/9781315062020-4
D. Dumitrescu
C. Chira, A. Gog (Andreica), D. Dumitrescu, Exploring Population Geometry and Multi-Agent Systems: A New Approach to Developing Evolutionary Techniques. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2008), Atlanta, USA, ACM, p. 1953-1960. Ullah, A.S.S.M.B., Sarker, R., Lokan, C., Handling equality constraints with agent-based memetic algorithms, Memetic Computing, 3 (1), 2011, p. 51-72. A 8
C. Chira, A. Gog (Andreica), D. Dumitrescu,探索种群几何和多智能体系统:发展进化技术的新途径。遗传和进化计算会议论文集(GECCO 2008),亚特兰大,美国,ACM, p. 1953-1960。Ullah, A.S.S.M.B, Sarker, R., Lokan, C.,基于agent的模因算法处理等式约束,模因计算,3 (1),2011,p. 51-72。一个8
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引用次数: 0
Xx Yy Zz Xx Yy z
Pub Date : 2018-12-07 DOI: 10.1007/978-0-230-21179-7_24
Jonathan Sutherland, Diane Canwell
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引用次数: 1
Kk Kk
Pub Date : 2018-12-07 DOI: 10.4016/17487.01
wydanie karty kierowcy, poza ramkę, A. D. Personalne, Prawo Jazdy
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引用次数: 1
Vv
Pub Date : 2018-12-07 DOI: 10.4324/9781315062020-22
D. LêAnh
This paper proposes a simple particle swarm optimization with constriction factor (PSO-CF) method for solving optimal reactive power dispatch (ORPD) problem. The proposed PSO-CF is the conventional particle swarm optimization based on constriction factor which can deal with different objectives of the problem such as minimizing the real power losses, improving the voltage profile, and enhancing the voltage stability and properly handle various constraints for reactive power limits of generators and switchable capacitor banks, bus voltage limits, tap changer limits for transformers, and transmission line limits. The proposed method has been tested on the IEEE 30-bus and IEEE 118-bus systems and the obtained results are compared to those from other PSO variants and other methods in the literature. The result comparison has shown that the proposed method can obtain total power loss, voltage deviation or voltage stability index less than the others for the considered cases. Therefore, the proposed PSO-CF can be favorable solving the ORPD problem TÀI LIỆU THAM KHẢO [1]. Abou El Ela, A.A., Abido, M.A. & Spea, S.R., Differential evolution algorithm for optimal reactive power dispatch, Electric Power Systems Research, 81(2), 458-464 (2011). [2]. About El-Ela, A., Kinawy, A., ElSehiemy, R., Mouwafi, M., Optimal reactive power dispatch using ant colony optimization algorithm, Electrical Engineering (Archiv fur Elektrotechnik), 114 (2011). . [3]. Alsac, O.& Stott, B., Optimal load flow with steady-state security, IEEE Trans. Power Apparatus and Systems, 93, 745-751 (1974). [4]. Aoki, K., Fan, M. & Nishikori, A., Optimal VAR planning by approximation method Science & Technology Development, Vol 16, No.K22013 Trang 100 for recursive mixed integer linear programming, IEEE Trans. Power Systems, 3(4), 1741-1747 (1988).. [5]. Clerc, M. & Kennedy, J., The particle swarm Explosion, stability, and convergence in a multidimensional complex space, IEEE Trans. Evolutionary Computation, 6(1), 58-73 (2002). [6]. Dabbagchi, I. & Christie, R., Power systems test case archive, University of Washington (1993). [7]. Devaraj, D. & Preetha Roselyn, J., Genetic algorithm based reactive power dispatch for voltage stability improvement, Electrical Power and Energy Systems, 32(10), 11511156 (2010). [8]. Esmin, A. A. A., Lambert-Torres, G. & Zambroni de Souza, A. C., A hybrid particle swarm optimization applied to loss power minimization, IEEE Trans. Power Systems, 2(2), 859-866 (2005).. [9]. Granville, S., Optimal reactive power dispatch through interior point methods, IEEE Trans. Power Systems, 9(1), 136-146 (1994).. [10]. Grudinin, N., Reactive power optimization using successive quadratic programming method, IEEE Trans. Power Systems, 13(4), 1219-1225 (1998).. [11]. Kennedy, J. , Eberhart, R., Particle swarm optimization, Proc. IEEE Conf. Neural Networks (ICNN’95), Perth, Australia, IV, 1942-1948 (1995).. [12]. Kessel, P., Glavitsch, H., Estimating the voltage stability of power
提出了一种带收缩因子的简单粒子群优化算法求解最优无功调度问题。本文提出的PSO-CF是传统的基于收缩因子的粒子群优化算法,能够处理实际功率损耗最小、改善电压分布、增强电压稳定性等不同目标问题,并能很好地处理发电机和可切换电容器组无功限值、母线电压限值、变压器分接开关限值和输电线路限值等各种约束条件。该方法已在IEEE 30总线和IEEE 118总线系统上进行了测试,并与文献中其他PSO变体和其他方法的结果进行了比较。结果比较表明,在考虑的情况下,该方法获得的总功率损耗、电压偏差和电压稳定指标均小于其他方法。因此,所提出的PSO-CF可以较好地解决ORPD问题TÀI LIỆU THAM KHẢO[1]。李建军,李建军,李建军,基于差分进化算法的无功优化调度,电力系统研究,31(2),458-464(2011)。[2]。关于El-Ela, A. Kinawy, A. ElSehiemy, R. Mouwafi, M.基于蚁群算法的无功功率优化调度,电气工程学报,114(2011)。[3]. 李建军,李建军,李建军,一种基于稳态安全的电力系统优化设计方法。电力设备与系统,93,745-751(1974)。[4]。青木,K,范,m,和Nishikori, A,最优VAR规划的逼近方法科学与技术发展,第16卷,第16期。[2][2013]递归混合整数线性规划。电力系统,3(4),1741-1747 (1988)..[5]. Clerc, M. & Kennedy, J.,粒子群爆炸、稳定性和收敛性在多维复杂空间中的应用,IEEE Trans。进化计算,6(1),58-73(2002)。[6]. Dabbagchi, I. & Christie, R.,《电力系统测试案例档案》,华盛顿大学(1993)。[7]。李建军,李建军,李建军。基于遗传算法的无功功率调度方法研究,电力系统学报,32(10),344 - 344(2010)。[8]。Esmin, A. A. A., Lambert-Torres, G.和Zambroni de Souza, A. C.,一种基于混合粒子群优化的损耗功率最小化算法,电子工程学报。电力系统,2(2),859-866 (2005)..[9]。李志强,李志强,基于内点法的无功功率优化调度,电气工程学报。电力系统,9(1),136-146 (1994)..[10]。郭志强,吴志强,基于二次规划的无功优化方法,电气与电子工程学报。电力系统,13(4),1219-1225 (1998)..[11]。陈志强,陈志强,陈志强,粒子群优化算法,神经网络学报,1995,vol . 4, 42- 44(1995)。[12]。陈建军,张建军,张建军,电力系统电压稳定性评估,电力系统工程学报,1(3),346-54(1986)。[13]。卡萨里,A. H., Kalantar, M.,基于和谐搜索算法的最优无功调度,电力与能源系统。[14]。柯琛,范米特伦,H. P.,基于最优潮流的线性规划的兆瓦/电压控制,电气与电子工程学报。电力系统,3(2),481-489 (1988)..[15]。赖丽丽,马建涛,进化规划在无功规划中的应用,与非线性规划方法的比较。IEEE反式。电力系统,12(1),198-206(1997)。[16]。李桂英,李永明,李俊良,一种实用的无功功率和有功功率优化调度方法,电气工程学报。电力设备和系统,PAS-104(5), 1147-1153(1985)。[17]。李艳,曹艳,刘忠,刘勇,蒋强,基于并行粒子群优化算法的动态最优无功调度,计算机应用,57(11):1835-1842(2009)。[18]。Lim, S.Y, Montakhab, M.和Nouri, H.,基于收缩因子的粒子群优化经济调度,2009年欧洲仿真与建模会议(ESM ' 2009),英国Leicester(2009)。TAÏP CHÍ PHAÙT TRIEÅN KH&CN, TAÄP 16, SOÁ K22013庄101[19]。吕凤春,徐玉玉,基于动态规划的配电变电站无功电压控制,电气工程学报,vol . 11, no . 1。Distrib。, 142 (6), 639-645 (1995)..[20]。马海德万,陈建军,李建军,无功调度的综合学习粒子群优化,应用软件计算,10(2),641-652(2010)。[21]。李建军,李建军,李建军。基于经典协调方程的无功优化调度算法,电子工程学报,39(2),93-101(1992)。[22]。李建军,张建军,李建军,基于自组织分层粒子群算法的多粒子群优化算法,物理学报。进化计算,8(3),240-255(2004)。[23]。施,Y。 提出了一种带收缩因子的简单粒子群优化算法求解最优无功调度问题。本文提出的PSO-CF是传统的基于收缩因子的粒子群优化算法,能够处理实际功率损耗最小、改善电压分布、增强电压稳定性等不同目标问题,并能很好地处理发电机和可切换电容器组无功限值、母线电压限值、变压器分接开关限值和输电线路限值等各种约束条件。该方法已在IEEE 30总线和IEEE 118总线系统上进行了测试,并与文献中其他PSO变体和其他方法的结果进行了比较。结果比较表明,在考虑的情况下,该方法获得的总功率损耗、电压偏差和电压稳定指标均小于其他方法。因此,所提出的PSO-CF可以较好地解决ORPD问题TÀI LIỆU THAM KHẢO[1]。李建军,李建军,李建军,基于差分进化算法的无功优化调度,电力系统研究,31(2),458-464(2011)。[2]。关于El-Ela, A. Kinawy, A. ElSehiemy, R. Mouwafi, M.基于蚁群算法的无功功率优化调度,电气工程学报,114(2011)。[3]。李建军,李建军,李建军,一种基于稳态安全的电力系统优化设计方法。电力设备与系统,93,745-751(1974)。[4]。青木,K,范,m,和Nishikori, A,最优VAR规划的逼近方法科学与技术发展,第16卷,第16期。[2][2013]递归混合整数线性规划。电力系统,3(4),1741-1747 (1988)..[5]。Clerc, M. & Kennedy, J.,粒子群爆炸、稳定性和收敛性在多维复杂空间中的应用,IEEE Trans。进化计算,6(1),58-73(2002)。[6]。Dabbagchi, I. & Christie, R.,《电力系统测试案例档案》,华盛顿大学(1993)。[7]。李建军,李建军,李建军。基于遗传算法的无功功率调度方法研究,电力系统学报,32(10),344 - 344(2010)。[8]。Esmin, A. A. A., Lambert-Torres, G.和Zambroni de Souza, A. C.,一种基于混合粒子群优化的损耗功率最小化算法,电子工程学报。电力系统,2(2),859-866 (2005)..[9]。李志强,李志强,基于内点法的无功功率优化调度,电气工程学报。电力系统,9(1),136-146 (1994)..[10]。
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Dictionary of Agriculture
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