Re: [新聞] 楊泮池:開學術倫理課、引進軟體圖片判讀
給你參考一下,時任中山大學校長(現任科技部長)任內的兩個案例
國外期刊專家都拿不到資料,原來有被質疑的論文可以不給原始raw data
供人檢視調查
Lessons Learned : 高高舉起,輕輕放下(舞弊不會出事)
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
教育部調查兩個月回覆
有關您來信陳情國立中山大學電機系博士班呂姓學生於2012年發表之研討會論文疑似違反
學術倫理情事乙案,
本部業轉請國立中山大學查明,經該校依相關程序查復說明如下:
一、呂生目前就讀該校電機系博士班,台端所陳內容與其博士論文無涉。
二、大學非屬營利組織,其研究計畫成果可做為畢業論文,亦可用來投稿成會議論文,
或再精進投稿為期刊論文,之間並無衝突;該領域電力界最頂尖IEEE期刊,論文需於
會議先發表,才能進入期刊挑選,會議及期刊論文完全相同,近期才分開,此係論文發表相關期程
與「國立中山大學在學學生學術倫理規範暨違反學術倫理案件處理要點」第2條第5項
規定無涉。
三、研究生參與研究計畫之研究成果,其成果列名與否有其慣例,如大型或跨領域計畫成
員規模較大,
依慣例會以教授列名,非民眾所述二人以上之共同研究成果據為己有,
而大型計畫雖然基本上著作權共有,但計畫成果仍可由教授依其權責使用,
其列名、應用及得否使用於畢業論文仍屬主持教授之裁量權。
四、違反學術倫理案件之判定應嚴謹慎重,台端之陳情,該校已妥慎檢討,
該生指導教授亦再度陳明無違反學術倫理之情事,特此說明。
敬祝健康快樂教育部敬復
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:李元輝(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的規定
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: a.vengraitis@ieee.org
Web: http://www.ieee.org/copyright
IEEE. Advancing Technology for Humanity
--
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推
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11/22 01:01, , 36F
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推
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※ 編輯: ACE520 (173.245.67.163), 11/28/2016 18:39:11
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