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arXiv 2022年

作者： Yoon, Jisung Park, Jinseo Yun, Jinhyuk Jung, Woo-Sung Department Of Industrial And Management Engineering Pohang University Of Science And Technology Pohang37673 Korea Republic of Center For Complex Networks And Systems Research Luddy School Of Informatics Computing And Engineering Indiana University BloomingtonIN47408 United States Center For Global R&D Data Analysis Korea Institute Of Science And Technology Information Seoul02456 Korea Republic of School Of AI Convergence Soongsil University Seoul06978 Korea Republic of Department Of Physics Pohang University Of Science And Technology Pohang37673 Korea Republic of

Humans acquire and accumulate knowledge through language usage and eagerly exchange their knowledge for advancement. Although geographical barriers had previously limited communication, the emergence of information technology has opened new avenues for knowledge exchange. However, it is unclear which communication pathway is dominant in the 21st century. Here, we explore the dominant path of knowledge diffusion in the 21st century using Wikipedia, the largest communal dataset. We evaluate the similarity of shared knowledge between population groups, distinguished based on their language usage. When population groups are more engaged with each other, their knowledge structure is more similar, where engagement is indicated by socioeconomic connections, such as cultural, linguistic, and historical features. Moreover, geographical proximity is no longer a critical requirement for knowledge dissemination. Furthermore, we integrate our data into a mechanistic model to better understand the underlying mechanism and suggest that the knowledge "Silk road" of the 21st century is based online. © 2022, CC BY.

关键词： Knowledge management

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Evaluation of Energy resilience and Cost Benefit in Microgrid with Peer-to-Peer Energy Trading

arXiv

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arXiv 2022年

作者： dwivedi, divyanshi Babu, K. Victor Sam Moses Yemula, Pradeep Kumar Chakraborty, Pratyush Pal, Mayukha Data Science Research Intern ABB Ability Innovation Center Hyderabad500084 India Department of Electrical Engineering Indian Institute of Technology Hyderabad502205 India The Department of Electrical and Electronics Engineering BITS Pilani Hyderabad Campus Hyderabad500078 India The Department of Electrical Engineering Indian Institute of Technology Hyderabad502205 India Global R&D Leader – Data Science at ABB Ability Innovation Center Hyderabad500084 India

Integration of distributed energy resources (dErs) at a residential level has given way to the development of a self-sufficient energy-resilient system and peer-to-peer (P2P) energy trading at a community level. Several researchers have developed models to implement energy trading in the P2P network with dErs that enables prosumers to avail cost benefits. However, the impact of dErs and P2P energy network on the system’s resilience is not evaluated with a quantifiable measure. In this work, we use the percolation threshold as a measure to quantify energy resilience, which can be computed using complex network. We consider a standard IEEE-123 node test feeder integrated with renewable energy sources and partitioned into microgrids. The microgrid with the highest percolation threshold value is considered for P2P energy trading analysis. We use cooperative game theory to model the P2P energy trading so that all prosumers take part rationally. The simulation is carried out using time series data of houses with varying load profiles, solar generation, and energy storage capacities. The results show 5.81% of total cost benefit in a year and 10.67% improvement in the resilience of the system due to P2P energy trading. © 2022, CC BY-NC-Nd.

关键词： Solvents

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disturbance of questionable publishing to academia

arXiv

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arXiv 2021年

作者： You, Taekho Park, Jinseo Lee, June Young Yun, Jinhyuk Jung, Woo-Sung School of AI Convergence Soongsil University 369 Sangdo-ro Dongjak-gu Seoul06978 Korea Republic of Department of Industrial and Management Engineering Pohang University of Science and Technology 77 Cheongam-ro Pohang Gyeongsangbukdo 37673 Korea Republic of Center for Global R&D Data Analysis Korea Institute of Science and Technology Information 66 Heogi-ro Dongdaemun-gu Seoul02456 Korea Republic of Department of Physics Pohang University of Science and Technology 77 Cheongam-ro Pohang Gyeongsangbukdo 37673 Korea Republic of

Questionable publications have been accused of "greedy" practices;however, their influence on academia has not been gauged. Here, we probe the impact of questionable publications through a systematic and comprehensive analysis with various participants from academia and compare the results with those of their unaccused counterparts using billions of citation records, including liaisons, i.e., journals and publishers, and prosumers, i.e., authors. Questionable publications attribute publisher-level self-citations to their journals while limiting journal-level self-citations;yet, conventional journal-level metrics are unable to detect these publisher-level self-citations. We propose a hybrid journal-publisher metric for detecting self-favouring citations among QJs from publishers. Additionally, we demonstrate that the questionable publications were less disruptive and influential than their counterparts. Our findings indicate an inflated citation impact of suspicious academic publishers. The findings provide a basis for actionable policy-making against questionable publications. Copyright © 2021, The Authors. All rights reserved.

关键词： Publishing

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Simulate Human Saccadic Scan-Paths in Target Searching

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International Journal of Intelligence Science 2016年第1期6卷 1-9页

作者： Lijuan duan Jun Miao david M. W. Powers Jili Gu Laiyun Qing Beijing Key Laboratory of Trusted Computing Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data College of Computer Science and Technology Beijing University of Technology Beijing China National Engineering Laboratory for Critical Technologies of Information Security Classified Protection Beijing China Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences(CAS) Institute of Computing Technology CAS Beijing China School of Computer Science Engineering & Maths Flinders University of South Australia Adelaide South Australia Beijing Samsung Telecom R&D Center Beijing China University of Chinese Academy of Sciences Beijing China

Human saccade is a dynamic process of information pursuit. There are many methods using either global context or local context cues to model human saccadic scan-paths. In contrast to them, this paper introduces a model for gaze movement control using both global and local cues. To test the performance of this model, an experiment is done to collect human eye movement data by using an SMI iVIEW X Hi-Speed eye tracker with a sampling rate of 1250 Hz. The experiment used a two-by-four mixed design with the location of the targets and the four initial positions. We compare the saccadic scan-paths generated by the proposed model against human eye movement data on a face benchmark dataset. Experimental results demonstrate that the simulated scan-paths by the proposed model are similar to human saccades in term of the fixation order, Hausdorff distance, and prediction accuracy for both static fixation locations and dynamic scan-paths.

关键词： Saccadic Scan-Paths Eye Movement Fixation Locations dynamic Scan-Paths

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AB0107 CHANGES IN EXTrACELLULAr MATrIX BIOMArKEr C3M COrrELATE WITH ABATACEPT rESPONSE IN SErOPOSITIVE EArLY rA

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Annals of the rheumatic diseases 2021年 80卷 1081-1082页

作者： S.L. Bridges J. Buckner M.A. Maldonado V. Bykerk N. ray S. Mukherjee N. Ohtsuka Hospital for Special Surgery Department of Medicine New York United States of America Benaroya Research Institute at Virginia Mason Center for Translational Immunology Seattle United States of America Bristol Myers Squibb Clinical R&D Immunoscience Princeton United States of America Hospital for Special Surgery Rheumatology New York United States of America Bristol Myers Squibb Global Drug Development Princeton United States of America Bristol Myers Squibb (at the time of analysis) Translational Medicine Princeton United States of America Bristol Myers Squibb Japan Translational Medicine Research and Development Tokyo Japan

Background: Effective biomarkers are needed to guide rA treatment selection, and the importance of evaluating synovial tissue is increasingly recognised. 1 Markers of extracellular matrix (ECM) turnover (e.g. C3M, a marker of interstitial tissue degradation) 2 may have clinical utility as disease-relevant and surrogate biomarkers of synovial joint pathophysiology. Objectives: To evaluate baseline (BL) correlations of ECM biomarkers with disease activity and the predictive value of ECM biomarkers in patients (pts) with seropositive early rA in the exploratory head-to-head Early AMPLE study ( NCT02557100 ), and to explore the impact of shared epitope (SE) status. Methods: Biologic-naive, MTX-inadequate responder adults with early (≤12 months' duration), active, moderate-to-severe rA were enrolled if they were anti-cyclic citrullinated peptide 2+ and rF+. Pts were randomised 1:1 to receive SC abatacept (ABA) 125 mg weekly or SC adalimumab (AdA) 40 mg every 2 weeks (wks) for 24 wks (single-blind period). Linear correlations between levels of ECM serum biomarkers (Nordic Biosciences) and disease activity (dAS28 [CrP], SdAI) at BL and change from BL (CfB) at Wk 24 were assessed in the overall population and by SE status (+/–); early (Wk 4) changes in biomarkers were also assessed. results: For SE+ (n=61) and SE– (n=18) pts at BL, mean (Sd) dAS28 (CrP) was 5.3 (1.2) and 5.0 (1.0), and SdAI was 35.9 (16.2) and 34.0 (13.8), respectively. At BL in the overall population, significant medium correlations between C1M, C3M and C4M and disease activity were seen ( Table 1 ). Correlations were generally higher in SE+ vs SE– pts, with C1M highly correlated with dAS28 (CrP) in SE+; correlations between C1M, C3M and C4M and disease activity were all significant in SE+ but not SE– pts. At Wk 24, overall CfB in C3M showed higher correlation with CfB in disease activity in pts receiving ABA (n=36; dAS28 [CrP]: 0.66 [p<0.0001]; SdAI: 0.53 [p=0.0009]) vs AdA (n=32; dAS28 [CrP]: 0.33 [p=0.0

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POS0051 dIFFErENTIAL PHArMACOdYNAMIC ALTErATIONS AFTEr TrEATMENT WITH ABATACEPT Or AdALIMUMAB IN MTX-INAdEQUATE rESPONdEr PATIENTS WITH EArLY rA: WHOLE BLOOd rNA-SEQ analysis OF THE EArLY AMPLE STUdY

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Annals of the rheumatic diseases 2022年 81卷 241-242页

作者： C. Wu Y. Li N. ray M.A. Maldonado P. Schafer S.L. Bridges W. rigby V. Bykerk J. Buckner J. Liu Bristol Myers Squibb Translational Bioinformatics Princeton United States of America Parexel International N/A Durham United States of America Bristol Myers Squibb (at the time of analysis) Global Drug Development Princeton United States of America Bristol Myers Squibb Clinical R&D Immunoscience Princeton United States of America Bristol Myers Squibb Translational Medicine Princeton United States of America Hospital for Special Surgery Department of Medicine New York United States of America Dartmouth-Hitchcock Medical Center Rheumatology Section Department of Medicine Lebanon United States of America Hospital for Special Surgery Division of Rheumatology New York United States of America Benaroya Research Institute at Virginia Mason Center for Translational Immunology Seattle United States of America

Background despite advances in available novel pharmacologic agents for rA, 1 the dearth of effective response predictors for specific therapies remains an unmet need. To inform clinical decision making, it is critical to define molecular signatures of these therapeutic agents by investigating their mechanisms of action (MoAs) and differential impacts on patients' immune systems. Adalimumab and abatacept are biologic dMArds with distinct MoAs used to treat rA. A better understanding of the differential pharmacodynamic (Pd) changes of these 2 agents may provide guidance for the selection of treatment options. 2 The Early AMPLE ( A batacept versus adali M umab com P arison in bio L ogic-naïv E rA subjects with background MTX) study compared treatment with abatacept or adalimumab in a population of patients with early rA to explore differential Pd effects; abatacept treatment resulted in numerically higher efficacy responses vs adalimumab after 24 weeks of treatment. 3 Objectives To investigate Pd changes in response to treatment with abatacept or adalimumab, and to identify and differentiate the impact of each drug on modulation of immune cells at the molecular level. Methods The phase 4 Early AMPLE trial ( NCT02557100 ) was a head-to-head comparison of treatment response to either abatacept or adalimumab in patients with early rA with an inadequate response to MTX, high anti-citrullinated protein antibody titers, and rF positivity, with or without shared epitope. Whole blood rNA sequencing (rNA-Seq) was conducted on samples collected from patients at different visits (day 1; weeks 4, 8, 16, 24, 28, 32, 40, 48). differential gene expression analyses were performed using Limma-voom pipeline in r, adjusting for batch effect and sex. Over-representation tests were used to identify enriched Gene Ontology pathways. xCell, a gene signatures–based method learned from thousands of pure cell types, was applied for immune cell type deconvolution and enrichment analysis. results

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POS0198 EFFICACY ANd SAFETY OF dEUCrAVACITINIB, AN OrAL, SELECTIVE TYrOSINE KINASE 2 INHIBITOr, IN PATIENTS WITH ACTIVE PSOrIATIC ArTHrITIS: rESULTS FrOM A PHASE 2, rANdOMIZEd, dOUBLE-BLINd, PLACEBO-CONTrOLLEd TrIAL

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Annals of the rheumatic diseases 2021年 80卷 314-315页

作者： P.J. Mease A. deodhar d. Van der Heijde F. Behrens A. Kivitz J. Kim S. Singhal M. Nowak S. Banerjee Swedish Medical Center/Providence St. Joseph Health and University of Washington Rheumatology Research Seattle United States of America Oregon Health & Science University Division of Arthritis and Rheumatic Diseases Portland United States of America Leiden University Medical Center Rheumatology Leiden Netherlands CIRI/Rheumatology and Fraunhofer Institute Goethe University Translational Medicine and Pharmacology ITMP Frankfurt Germany Altoona Center for Clinical Research Department of Rheumatology Duncansville United States of America Bristol Myers Squibb Global Biometrics Data Sciences Princeton United States of America Bristol Myers Squibb Rheumatology Princeton United States of America Bristol Myers Squibb Clinical R&D Princeton United States of America Bristol Myers Squibb Rheumatology and Dermatology Princeton United States of America

Background: Tyrosine kinase 2 (TYK2) is an intracellular kinase that mediates signaling by key cytokines involved in psoriatic arthritis (PsA) and plaque psoriasis (PsO) pathogenesis. deucravacitinib is a novel oral agent that selectively inhibits TYK2 via an allosteric mechanism by binding to the nonconserved regulatory domain of the kinase. A previous Phase 2 trial in PsO had demonstrated that deucravacitinib was efficacious and well tolerated, with no laboratory abnormalities observed. Objectives: To evaluate the efficacy and safety of deucravacitinib in active PsA. Methods: This is an ongoing, 1-year, randomized, double-blind, placebo (PBO)-controlled (initial 16 weeks), multiregional, Phase 2 trial ( NCT03881059 ). Eligible patients had a PsA diagnosis for ≥6 months, met CASPAr criteria, and had active disease with ≥3 tender and ≥3 swollen joints, C-reactive protein ≥3 mg/L (ULN, 5 mg/L), and ≥1 psoriatic lesion (≥2 cm). Patients had failed or were intolerant to ≥1 nonsteroidal anti-inflammatory drug, corticosteroid, conventional synthetic disease-modifying antirheumatic drug (csdMArd), and/or 1 TNF inhibitor (TNFi; ≤30%). Patients were randomized 1:1:1 to deucravacitinib 6 mg once daily (Qd) or 12 mg Qd, or PBO. The primary endpoint was achievement of ACr 20 response at Week 16. Additional endpoints included the proportion of patients achieving ACr 50/70 response, Health Assessment Questionnaire-disability Index (HAQ-dI) response (≥0.35 improvement from baseline), enthesitis resolution (Leeds Index score of 0), minimal disease activity, change from baseline in SF-36 physical component score (SF-36 PCS) and mental component score (SF-36 MCS), Psoriasis Area and Severity Index (PASI) 75 response, adverse events (AEs), and laboratory parameters. results: Of 203 patients randomized, 180 (89%) completed 16 weeks of treatment (deucravacitinib 6 mg Qd, 63/70 [90%]; deucravacitinib 12 mg Qd, 59/67 [88%]; PBO, 58/66 [88%]). demographic and baseline disease characterist

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results from the International, Multi-center, retrospective B-Holistic Study: describing Treatment Pathways and Outcomes for Classical Hodgkin Lymphoma

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BLOOd 2020年 136卷 32-34页

作者： Ferhanoglu, Burhan Kim, Tae Min Karduss, Amado Brittain, david Tumyan, Gayane Al Mansour, Mubarak Zerga, Marta Song, Yuqin rivas-Vera, Silvia Kwong, Yok Lam Lim, Soon Thye Yeh, Su-Peng Abdillah, Arif Huang, Zhongwen dalal, Mehul Wan, Hui Hertzberg, Mark Department of Internal Medicine Division of Hematology Koç University School of Medicine Istanbul Turkey Seoul National University Hospital Seoul Korea Republic of (South) Instituto de Cancerologia Las Americas Medellin Colombia Alberts Cellular Therapy Pretoria South Africa Department of Chemotherapy of Hemoblastosis Blokhin Russian Cancer Research Center Moscow Russian Federation Princess Noorah Oncology Center Jeddah Saudi Arabia College of Medicine - Jeddah King Saud bin Abdulaziz University for Health Sciences Jeddah Saudi Arabia Angel Roffo Institute Buenos Aires Argentina Department of Lymphoma Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education) Peking University Cancer Hospital & Institute Beijing China Department of Hematology Instituto Nacional de Cancerologia Mexico Mexico City Mexico Hematology Division Medical Oncology and Bone Marrow Transplantation The University of Hong Kong Hong Kong Hong Kong Queen Mary Hospital Hong Kong Hong Kong Division of Medical Oncology National Cancer Center Singapore Singapore Singapore Medical University Hospital Taichung Taiwan Takeda Pharmaceuticals International Co. Singapore Singapore Takeda R&D Data Science Institute Takeda Pharmaceuticals International Co. Cambridge Global Outcomes Research Takeda Pharmaceuticals International Co. Cambridge Department of Clinical Haematology Prince of Wales Hospital Sydney Australia Faculty of Medicine University of New South Wales Sydney Australia

Background: despite therapeutic advances in classical Hodgkin lymphoma (cHL), only half of patients with relapsed/refractory (r/r) cHL are cured with salvage chemotherapy followed by stem cell transplantation (SCT). Most studies to date have been undertaken in Europe or North America and data on treatment patterns and clinical outcomes from other regions are limited. We present the results from the B-Cd30+ HOdgkin Lymphoma International Multi-center retrospective Study of Treatment PractIces and OutComes (B-HOLISTIC), which assessed cHL treatment pathways, clinical outcomes and healthcare resource utilization across East Asia, Latin America, Middle East, South Africa, Australia and russia (data as of 04 March 2020). Methods: data were collected retrospectively for patients (≥18 years) diagnosed with stage IIB-IV cHL or r/r cHL between 01 January 2010 and 31 december 2013, until death or last follow-up (whichever occurred first) across 13 countries. Patients with initial diagnosis of cHL and subsequent progression to r/r cHL were included in both groups, provided r/r cHL was diagnosed within the study period. The primary endpoint was progression-free survival (PFS) in patients with r/r cHL. Secondary endpoints included overall survival (OS), best clinical response, and adverse events (AEs). results: In total, 1703 patients were enrolled from East Asia (n=426), Latin America (n=366), Middle East and South Africa (n=694), Australia (n=56) and russia (n=161): 1598 and 426 patients were eligible for the cHL and r/r cHL groups (321 patients in the cHL group progressed to r/r cHL and were included in both groups). Median study follow-up was 65.2 and 53.2 months for the cHL and r/r cHL groups. Baseline patient characteristics are shown in Table 1. All patients in the cHL group received first-line chemotherapy: the most common regimens were ABVd (1363/1598; 85.3%) and BEACOPP (104/1598; 6.5%). First-line radiotherapy was given to 357/1598 (22.3%) patients in the cHL group. F

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A framework for developing a knowledge management platform

arXiv

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arXiv 2024年

作者： Mendoza, Marie Lisandra Zepeda Agarwal, Sonali Blackshaw, James A. Bol, Vanesa Fazzi, Audrey Fiorini, Filippo Foreman, Amy Louise George, Nancy Johnson, Brett r. Martin, Brian McComb, dave Mutasa-Gottgens, Euphemia Parkinson, Helen romacker, Martin russell, rolf Ségard, Valérien Tan, Shawn Zheng Kai Teh, Wei Kheng Winstanley, F.P. Wong, Benedict Smith, Adrian M. Machine Intelligence AI & Digital Research Novo Nordisk Research Centre Oxford United Kingdom GSK Global Capability Center Bagmane Capital Mahadevapura Karnataka Bengaluru India EMBL-EBI Wellcome Genome Campus Hinxton United Kingdom GSK Vaccines R&D Rue de l'Institut 89 Rixensart Belgium GSK Via Fiorentina Siena53100 Italy Global Genes 28 Argonaut Suite 150 Aliso ViejoCA United States AbbVie 1 N Waukegan Road AP4/B North ChicagoIL United States Semantic Arts 123 N College AvenueSuite 218 Fort CollinsCO United States F.Hoffmann-La Roche Grenzacherstrasse 124 BaselCH-4070 Switzerland TXI 10 S Riverside Plaza Suite 875 ChicagoIL United States Data Representation Novo Nordisk A/S Måløv Denmark Semantic Arts Kilcreggan United Kingdom Unilever R&D Colworth Science Park Sharnbrook Bedford United Kingdom

Knowledge management (KM) involves collecting, organizing, storing, and disseminating information to improve decision-making, innovation, and performance. Implementing KM at scale has become essential for organizations to effectively leverage vast accessible data. This paper is a compilation of concepts that emerged from KM workshops hosted by EMBL-EBI, attended by SMEs and industry. We provide guidance on envisioning, executing, evaluating, and evolving knowledge management platforms. We emphasize essential considerations such as setting knowledge domain boundaries and measuring success, as well as the importance of making knowledge accessible for downstream applications and non-computational users and highlights necessary personal and organizational skills for success. We stress the importance of collaboration and the need for convergence on shared principles and commitment to provide or seek resources to advance KM. The community is invited to join the journey of KM and contribute to the advancement of the field by applying and improving on the guidelines described. © 2024, CC BY.

关键词： Knowledge management

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A COMPUTEr-MOdEL FOr SHIPBOArd ENErGY analysis

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NAVAL ENGINEErS JOUrNAL 1984年第5期96卷 33-45页

作者： dETOLLA, JP FLEMING, Jr Joseph DeTolla:is a ship systems engineer in the Ship Systems Engineering Division SEA 56D5 at the Naval Sea Systems Command. His career with the Navy started in 1965 at the Philadelphia Naval Shipyard Design Division. In 1971 he transferred to the Naval Ship Engineering Center. He has held positions as a fluid systems design engineer and auxiliary systems design integration engineer. Mr. DeTolla has worked extensively in the synthesis and analysis of total energy systems notably the design development of the FFG-7 class waste heat recovery system. He is NA VSEA's machinery group computer supported design project coordinator and is managing the development of a machinery systems data base load forecasting algorithms and design analysis computer programs. Mr. DeTolla has a bachelor of science degree in mechanical engineering from Drexel University and a master of engineering administration degree from George Washington University. He is a registered professional engineer in the District of Columbia and has written several technical papers on waste heat recovery and energy conservation. Jeffrey Fleming:is a senior project engineer in the Energy R&D Office at the David Taylor Naval Ship R&D Center. In his current position as group leader for the future fleet energy conservation portion of the Navy's energy R&D program he is responsible for the identification and development of advanced components and subsystems which will lead to reductions in the fossil fuel consumption of future ships. Over the past several years he has also directed the development and application of total energy computer analysis techniques for the assessment of conventional and advanced shipboard machinery concepts. Mr. Fleming is a 1971 graduate electrical engineer of Virginia Polytechnic Institute and received his MS in electrical engineering from Johns Hopkins University in 1975. Mr. Fleming has authored various technical publications and was the recipient of the Severn Technical Society's “Best Technical Paper of the Year” award in 1

In support of the Navy's efforts to improve the energy usage of future ships and thereby to reduce fleet operating costs, a large scale computer model has been developed by the david Taylor Naval Ship research and development center (dTNSrdC) to analyze the performance of shipboard energy systems for applications other than nuclear or oil-fired steam propulsion plants. This paper discusses the applications and utility of this computer program as a performance analysis tool for design of ship machinery systems. The program is a simulation model that performs a complete thermodynamic analysis of a user-specified energy system. It offers considerable flexibility in analyzing a variety of propulsion, electrical, and auxiliary plant configurations through a component building block structure. Component subroutines that model the performance of shipboard equipment such as engines, boilers, generators, and compressors are available from the program library. Component subroutines are selected and linked in the program to model the desired machinery plant functional configurations. The operation of the defined shipboard energy system may then be simulated over a user-specified scenario of temperature, time, and load profiles. The program output furnishes information on component operating characteristics and fuel demands, which allows evaluation of the total system performance.

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