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DATA DRIVEN MODELING FOR POWER TRANSFORMER LIFESPAN EVALUATION

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journal of Systems Science and Systems Engineering 2014年第1期23卷 80-93页

作者： Charles V.TRAPPEY amy j.C.TRAPPEY Lin MA Wan-Ting TSAO Department of Management Science National Chiao Tung University Department of Industrial Engineering and Engineering Management National Tsing Hua University School of Chemistry Physics and Mechanical EngineeringQueensland University of Technology

Large sized power transformers are important parts of the power supply chain. These very critical networks of engineering assets are an essential base of a nation＇s energy resource infrastructure. This research identifies the key factors influencing transformer normal operating conditions and predicts the asset management lifespan. Engineering asset research has developed few lifespan forecasting methods combining real-time monitoring solutions for transformer maintenance and replacement. Utilizing the rich data source from a remote terminal unit （RTU） system for sensor-data driven analysis, this research develops an innovative real-time lifespan forecasting approach applying logistic regression based on the Weibull distribution. The methodology and the implementation prototype are verified using a data series from 161 kV transformers to evaluate the efficiency and accuracy for energy sector applications. The asset stakeholders and suppliers significantly benefit from the real-time power transformer lifespan evaluation for maintenance and replacement decision support.

关键词： Condition based maintenance (CBM) prognostics and health management (PHM) logisticregression remaining life prediction sustainable engineering asset management

SPECIAL ISSUE EDITORIAL ON MASS CUSTOMIZATION AND SUSTAINABLE VALUE SYSTEMS

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journal of Systems Science and Systems Engineering 2011年第3期20卷 257-259页

作者： amy j.C.TRAPPEY P.M.WOGNUM Charles V.TRAPPEY Department of Industrial Engineering and Engineering Management National Tsing Hua University Department of Social Sciences Wageningen UniversityThe Netherlands Department of Management Science National Chiao Tung University

Today, new products or services must be designed to satisfy ever changing consumer demand by companies to remain competitive. Mass customization, personalized services, and integration of information and decision processes are needed to produce an increasingly diverse range of products and services. At the same time efficiency as well as flexibility of design and production processes need to be improved.

关键词： SPECIAL ISSUE EDITORIAL ON MASS CUSTOMIZATION AND SUSTAINABLE VALUE SYSTEMS

AUTOMATIC PATENT DOCUMFNT SUMMARIZATION FOR COLLABORATIVE KNOWLEDGE SYSTEMS AND SERVICES

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journal of Systems Science and Systems Engineering 2009年第1期18卷 71-94页

作者： amy j.C. TRAPPEY Charles V. TRAPPEY Chun-Yi WU Dept. of Industrial Engineering and Management National Taipei University of Technology Taiwan China Dept. of lndustrial Engineering and Engineering Management National Tsing Hua University Taiwan China Dept. of Management Science National Chiao Tung University Taiwan China

Engineering and research teams often develop new products and technologies by referring to inventions described in patent databases. Efficient patent analysis builds R＆D knowledge, reduces new product development time, increases market success, and reduces potential patent infringement. Thus, it is beneficial to automatically and systematically extract information from patent documents in order to improve knowledge sharing and collaboration among R＆D team members. In this research, patents are summarized using a combined ontology based and TF-IDF concept clustering approach. The ontology captures the general knowledge and core meaning of patents in a given domain. Then, the proposed methodology extracts, clusters, and integrates the content of a patent to derive a summary and a cluster tree diagram of key terms. Patents from the International Patent Classification （IPC） codes B25C, B25D, B25F （categories for power hand tools） and B24B, C09G and H011 （categories for chemical mechanical polishing） are used as case studies to evaluate the compression ratio, retention ratio, and classification accuracy of the summarization results. The evaluation uses statistics to represent the summary generation and its compression ratio, the ontology based keyword extraction retention ratio, and the summary classification accuracy. The results show that the ontology based approach yields about the same compression ratio as previous non-ontology based research but yields on average an 11% improvement for the retention ratio and a 14% improvement for classification accuracy.

关键词： Semantic knowledge service key phrase extraction document summarization text mining,patent document analysis

SPECIAL ISSUE EDITORIAL

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journal of Systems Science and Systems Engineering 2010年第2期19卷 129-130页

作者： amy j.C. TRAPPEY Fataneh Taghaboni DUTTA Kai-Ying CHEN College of Management National Taipei University of Technology & Department of lndustrial Engineering and Engineering Management National Tsing Hua University Taiwan China Department of Business Administration College of Business University of Illinois at Urbana-Champaign USA Department of Industrial Engineering and Management National Taipei University of Technology Taiwan China

This special issue of joumal of Systems Science and Systems Engineering recognizes the contributions of authors and participants in the 16th ISPE International Conference on Concurrent Engineering （CE2009）, 2009 ASME International Manufacturing Science and Engineering Conference （MSEC） and 2009 IEEE International Conference on Systems, Man and Cybernetics. Among related papers presented in these conferences, the guest editors have selectively identified and invited the authors to re-write and extend their works to full-length papers for re-submission to the special issue.

关键词： SPECIAL ISSUE EDITORIAL

AN ECO- AND INNO-PRODUCT DESIGN SYSTEM APPLYING INTEGRATED AND INTELLIGENT QFDE AND TRIZ METHODOLOGY

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journal of Systems Science and Systems Engineering 2011年第4期20卷 443-459页

作者： amy j.C. TRAPPEY jerry j.R. OU Gilbert Y.P. LIN Meng-Yu CHEN Department of Industrial Engineering and Engineering Management National Tsing Hua University Taiwan China Department of Industrial Engineering and Management National Taipei University of Technology Taiwan China Department of Business Administration Southern Taiwan University Taiwan China

The green environmental laws and regulations are legislated, implemented, and enforced in many countries and economic regions. The provision of green products and services are the fast growing trend in global consumer markets. Therefore, introducing new products with environmental considerations becomes critical for global brand manufacturers. This research depicts an integrated and intelligent eco- and inno-product design methodology to support environmental friendly green product development. The methodology adopts approaches, such as life cycle assessment （LCA）, quality function deploymnet for environement （QFDE）, theory of inventive problem solving （TRIZ） and back-propagation network （BPN） to achieve eco- and inno-design objectives. LCA evaluates and compares the environmental impacts of production. QFDE transforms high-level concerns of environment into design requirements. When there are many historical QFDE data, the BPN prediction model is trained and deployed to automate the specifications of green design improvement. TRIZ is to support the creation of innovative product design ideas effectively and efficiently during the concept design stage. Finally, this paper presents two eco-design cases of power adaptor to demonstrate the proposed methodology.

Fragile X Messenger Ribonucleoprotein 1(FMR1), a novel inhibitor of osteoblast/osteocyte differentiation, regulates bone formation, mass, and strength in young and aged male and female mice

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Bone Research 2023年第2期11卷 384-397页

作者： Padmini Deosthale julián Balanta-Melo amy Creecy Chongshan Liu Alejandro Marcial Laura Morales julita Cridlin Sylvia Robertson Chiebuka Okpara David j.Sanchez Mahdi Ayoubi joaquín N.Lugo Christopher j.Hernandez joseph M.Wallace Lilian I.Plotkin Department of Anatomy Cell Biology&PhysiologyIndiana University School of MedicineIndianapolisIN46202USA Roudebush Veterans Administration Medical Center IndianapolisIN46202USA Indiana Center for Musculoskeletal Health IndianapolisIN46202USA Universidad del Valle School of Dentistry Cali 760043Colombia Department of Biomedical Engineering Indiana University-Purdue University Indianapolis46202 IndianapolisIN46202USA Sibley School of Mechanical and Aerospace Engineering Cornell UniversityIthacaNY 14853USA Department of Materials Science and Engineering Cornell UniversityIthacaNY14853USA Department of Psychology and Neuroscience Baylor UniversityWacoTX76798USA

Fragile X Messenger Ribonucleoprotein 1(FMR1)gene mutations lead to fragile X syndrome,cognitive disorders,and,in some individuals,scoliosis and craniofacial ***-month-old(mo)male mice with deletion of the FMR1 gene exhibit a mild increase in cortical and cancellous femoral bone ***,consequences of absence of FMR1 in bone of young/aged male/female mice and the cellular basis of the skeletal phenotype remain *** found that absence of FMR1 results in improved bone properties with higher bone mineral density in both sexes and in 2-and 9-mo *** cancellous bone mass is higher only in females,whereas,cortical bone mass is higher in 2-and 9-mo males,but higher in 2-and lower in 9-mo female FMR1-knockout ***,male bones show higher biomechanical properties at 2mo,and females at both *** of FMR1 increases osteoblast/mineralization/bone formation and osteocyte dendricity/gene expression in vivo/ex vivo/in vitro,without affecting osteoclasts in vivo/ex ***,FMR1 is a novel osteoblast/osteocyte differentiation inhibitor,and its absence leads to age-,site-and sex-dependent higher bone mass/strength.

关键词： female Messenger agile

Efficient antibody evasion but reduced ACE2 binding by the emerging SARS-CoV-2 variant B.1.640.2

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Cellular & Molecular Immunology 2022年第9期19卷 1067-1069页

作者： Prerna Arora amy Kempf Inga Nehlmeier Luise Graichen Sebastian Schulz Anne Cossmann Alexandra Dopfer-jablonka Martin S.Winkler Hans-Martin jäck Georg M.N.Behrens Stefan Pöhlmann Markus Hoffmann Infection Biology Unit German Primate CenterKellnerweg 437077GöttingenGermany Faculty of Biology and Psychology Georg-August-University GöttingenWilhelmsplatz 137073GöttingenGermany Division of Molecular Immunology Department of Internal Medicine 3Friedrich-Alexander University of Erlangen-NürnbergGlückstraße 691054ErlangenGermany Department for Rheumatology and Immunology Hannover Medical SchoolCarl-Neuberg-Straße 130625HannoverGermany German Centre for Infection Research(DZIF) Partner Site Hannover-BraunschweigHannoverGermany Centre for Individualised Infection Medicine(CiiM) HannoverGermany Department of Anesthesiology University of Göttingen Medical CenterGöttingenGeorg-August University of GöttingenRobert-Koch-Straße 4037075GöttingenGermany

The SARS-CoV-2 spike(S)protein engages ACE2 for cell entry,and the S protein/ACE2 interface is an important target for neutralizing *** the course of the COVID-19 pandemic,SARS-CoV-2 variants have emerged that harbor mutations in the S protein,which confer neutralization resistance and allow viral spread in immunologically nonnaive *** most prominent example is the highly mutated Omicron variant,which infects convalescent or vaccinated individuals with unprecedented efficiency[1,2].

关键词： ACE2 harbor neutral

Case study approach to modeling historical disinfection by-product exposure in Iowa drinking waters

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journal of Environmental Sciences 2017年第8期29卷 183-190页

作者： Stuart W.Krasner Kenneth P.Cantor Peter j.Weyer Mariana Hildesheim Gary amy Metropolitan Water District of Southern California Water Quality La Verne CA 91750 USA National Cancer Institute National Institutes of Health Bethesda MD 20892 USA Center for Health Effects of Environmental Contamination(CHEEC) University of Iowa Coralville IA 52242 USA Medical Research Solutions LLC Montgomery Village MD 20886 USA College of Engineering Computing and Applied SciencesClemson University Clemson SC 29631 USA

In the 1980 s, a case–control epidemiologic study was conducted in Iowa（USA） to analyze the association between exposure to disinfection by-products（DBPs） and bladder cancer risk. Trihalomethanes（THMs）, the most commonly measured and dominant class of DBPs in drinking water, served as a primary metric and surrogate for the full DBP *** THM exposure was calculated, based on rough estimates of past levels in Iowa. To reduce misclassification, a follow-up study was undertaken to improve estimates of past THM levels and to re-evaluate their association with cancer risk. In addition, the risk associated with haloacetic acids, another class of DBPs, was examined. In the original analysis, surface water treatment plants were assigned one of two possible THM levels depending on the point of chlorination. The re-assessment considered each utility treating surface or groundwater on a case-by-case basis. Multiple treatment/disinfection scenarios and water quality parameters were considered with actual DBP measurements to develop estimates of past levels. The highest annual average THM level in the re-analysis was156 μg/L compared to 74 μg/L for the original analysis. This allowed the analysis of subjects exposed at higher levels（〉 96 μg/L）. The re-analysis established a new approach, based on case studies and an understanding of the water quality and operational parameters that impact DBP formation, for determining historical exposure.

关键词： Disinfection by-products Trihalomethanes Haloacetic acids Exposure assessment Epidemiology Bladder cancer

Non-steroidal anti-inflammatory drugs and statins in relation to colorectal cancer risk

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World journal of Gastroenterology 2009年第19期15卷 2336-2339页

作者： Mazyar Shadman Polly A Newcomb john M Hampton Karen j Wernli amy Trentham-Dietz Cancer Prevention Program Fred Hutchinson Cancer Research CenterSeattle 98109United States Department of Epidemiology University of WashingtonSeattle 98195United States Polly A Newcomb University of Wisconsin Paul PCarbone Comprehensive Cancer CenterMadison 53726United States

AIM:To investigate the association between individual or combined use of non-steroidal anti-inflammatory drugs(NSAIDs) or statins and colorectal cancer ***:In a population-based case-control study in women,we examined the association between NSAIDs and statin use and the risk of colorectal *** further investigated whether the use of statins modifies the protective effect of *** cases(n = 669) of colorectal cancer aged 50-74 years were identified from a statewide registry in Wisconsin during *** control women(n = 1375) were randomly selected from lists of licensed drivers and Medicare *** use and risk factor information were gathered during a structured telephone interview.A multivariable logistic regression model was used to calculate odds ratio(OR) and 95% conf idence interval(CI) .RESULTS:Overall,NSAIDs users had a 30% reduction in risk of colorectal cancer(95% CI:0.56-0.88) .Statin use was not associated with colorectal cancer risk(OR = 1.17,95% CI:0.74-1.85) ,regardless of structural type(lipophilic or hydrophilic) ,duration of use,or *** was no evidence of an interaction between NSAIDs and statins and colorectal cancer risk(P-interaction = 0.28) .CONCLUSION:Although our results confirm the inverse association between NSAIDs use and colorectal cancer risk,they do not support a risk reduction in statin users,or an interaction effect of combined NSAIDs and statin use.

关键词：非甾体抗炎药风险因素大肠癌他汀类 Logistic 病例对照研究威斯康星州保护作用