给你参考一下,时任中山大学校长(现任科技部长)任内的两个案例 国外期刊专家都拿不到资料,原来有被质疑的论文可以不给原始raw data 供人检视调查 Lessons Learned : 高高举起,轻轻放下(舞弊不会出事) First case: Author : Meng-Che Wu Assessment of Applying SSSC to Power Market for Carbon Trading Link: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0626111-171029 https://imgur.com/a/70lJ2 Author: : Kai-Hung Lu Assessment of Power Market for Carbon Trading by Modified Particle Swarm Optimization Link: http://docdro.id/HavLohO (Non-edited Manuscript) http://www.iaeng.org/publication/IMECS2012/IMECS2012_pp1047-1051.pdf 教育部调查两个月回覆 有关您来信陈情国立中山大学电机系博士班吕姓学生於2012年发表之研讨会论文疑似违反 学术伦理情事乙案， 本部业转请国立中山大学查明，经该校依相关程序查复说明如下： 一、吕生目前就读该校电机系博士班，台端所陈内容与其博士论文无涉。 二、大学非属营利组织，其研究计画成果可做为毕业论文，亦可用来投稿成会议论文， 或再精进投稿为期刊论文，之间并无冲突；该领域电力界最顶尖IEEE期刊，论文需於 会议先发表，才能进入期刊挑选，会议及期刊论文完全相同，近期才分开，此系论文发表相关期程 与「国立中山大学在学学生学术伦理规范暨违反学术伦理案件处理要点」第2条第5项 规定无涉。 三、研究生参与研究计画之研究成果，其成果列名与否有其惯例，如大型或跨领域计画成 员规模较大， 依惯例会以教授列名，非民众所述二人以上之共同研究成果据为己有， 而大型计画虽然基本上着作权共有，但计画成果仍可由教授依其权责使用， 其列名、应用及得否使用於毕业论文仍属主持教授之裁量权。 四、违反学术伦理案件之判定应严谨慎重，台端之陈情，该校已妥慎检讨， 该生指导教授亦再度陈明无违反学术伦理之情事，特此说明。 敬祝健康快乐教育部敬复 IMECS回覆 Dear Sir/Madam, After investigating this case with view points from both parties, it seems to us that this is an internal case of how to split the work credits among the team members of the same laboratory. As it seems that this is an internal affair involving one single laboratory, it would be better if you can direct your complaint to the head of the laboratory directly. Of if one would like, one may send the complaint to the head of the department supervising that laboratory. This is because only the head may keep the records of the individual works/contributions of each team member of the laboratory. After their official decision, we are more than happy to follow their decision. We are looking forward to your understanding because we do not have the legal power to order laboratory to hand internal personal data to us before of privacy issues concerned. Should you have any enquiry, please feel free to contact us. Best regards, Anna Lee Assistant Secretary International Association of Engineers (IAENG) Second case: 1.Author:李元辉(Yuan-hui Li) A Study for Price-Based Unit Commitment with Carbon Link: http://goo.gl/LXV3PY Abstract: In this thesis, the Hybrid Genetic Algorithm-Ant Colony Optimization (GACO) approach is presented to solve the unit commitment problem (UC), and comparison with the results obtained using literature methods. Then this thesis applied the ability of the Genetic Algorithm (GA) operated after Ant Colony Optimization (ACO) can promote the ACO efficiency. The objective of GA is to improve the searching quality of ants by optimizing themselves to generate a better result, because the ants produced randomly by pheromone process are not necessary better. This method can not only enhance the neighborhood search, but can also search the optimum solution quickly to advance convergence. The other objective of this thesis is to investigate an influence of emission constraints on generation scheduling. The motivation for this objective comes from the efforts to reduce negative trends in a climate change. In this market structure, the independent power producers have to deal with several complex issues arising from uncertainties in spot market prices, and technical constraints which need to be considered while scheduling generation and trading for the next day. In addition to finding dispatch and unit commitment decisions while maximizing its profit, their scheduling models should include trading decisions like spot-market buy and sell. The model proposed in this thesis build on the combined carbon finance and spot market formulation, and help generators in deciding on when these commitments could be beneficial. 2.Author: Ting-Chia Ou A Study for Price-Based Unit Commitment with Carbon Trading by DI&C simulation Link: http://goo.gl/NCcszw Abstract: In this paper, the Hybrid Genetic Algorithm-Ant Colony Optimization (GACO) approach is presented to solve the unit commitment problem, and comparison with the results obtained using literature methods by nuclear-grade Digital Instrumentation and Control (DI&C) simulation. Then this paper applied the ability of the Genetic Algorithm (GA) operated after Ant Colony Optimization (ACO) can promote the ACO efficiency. The objective of GA is to improve the searching quality of ants by optimizing themselves to generate a better result, because the ants produced randomly by pheromone process are not necessary better. This method can not only enhance the neighborhood search, but can also search the optimum solution quickly to advance convergence. The other objective of this paper is to investigate an influence of emission constraints on generation scheduling. The motivation for this objective comes from the efforts to reduce negative trends in a climate change. In this market structure, the nuclear power plants (NPPs) and independent power producers (IPPs) have to deal with several complex issues arising from uncertainties in spot market prices, and technical constraints which need to be considered while scheduling generation and trading for the next day. In addition to finding dispatch and unit commitment decisions while maximizing its profit, their scheduling models should include trading decisions like spot-market buy and sell. The model proposed in this paper build on the combined carbon finance and spot market formulation, and help generators in deciding on when these commitments could be beneficial. 引述IEEE的规定 http://www.ieee.org/publications_standards/publications/rights/plagiarism.html IEEE defines plagiarism as the reuse of someone else's prior processes, results, or words without explicitly acknowledging the original author and source. It is important for all IEEE authors to recognize that plagiarism in any form, at any level, is unacceptable and is considered a serious breach of professional conduct, with potentially severe ethical and legal consequences. IEEE IPR Specialist 回覆 We are unable to download the following paper: Author : Yuan-hui Li A Study for Price-Based Unit Commitment with Carbon http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search-c/view_etd?URN=etd-0701109-225434 Could you please send us a copy? Best regards Tony --------------------------------------------------- Anthony VenGraitis, IPR Specialist IEEE Intellectual Property Rights Office 445 Hoes Lane Piscataway, NJ 08854 Phone: +1 732 562 5534 Fax: +1 732 562 1746 Email: [email protected] Web: http://www.ieee.org/copyright IEEE. Advancing Technology for Humanity --

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