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Frontiers of Intelligent Medical Engineering

為了解決precision instrument的問題，作者 這樣論述：

Dr. Zhe Liu is a professor at the Academy of Medical Engineering and Translational Medicine, Tianjin University, China. He obtained his Ph.D from the Institute of Chemistry, CAS in 2007, and worked as a postdoctoral researcher at the Molecular Imaging Research Center, Stanford University and Helmhol

tz Institute of Biomedical Engineering, Aachen University of Technology from 2007 to 2013. He became a full professor at the Institute of Biomaterials and Engineering, CAS in 2014 and moved to Tianjin University in 2018. His research has been focused on medical molecular probes, drug delivery, image

-assisted diagnosis and visualized medicine, fields in which he has published more than 30 SCI articles.Dr. Dong Ming is a Chair Professor of the Department of Biomedical Engineering and the director of Academy of Medical Engineering and Translational Medicine, Tianjin University. He received his BS

c and PhD degrees in biomedical engineering at Tianjin University, China in 1999 and 2004, respectively. He then worked as a research associate in the Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, University of Hong Kong from 2002 to 2003 and was a visiting scholar in

the Division of Mechanical Engineering and Mechatronics, University of Dundee from 2005 to 2006. Afterwards, he became a TJU faculty in the College of Precision Instruments and Optoelectronics Engineering in 2006 and was promoted to full professor of biomedical engineering since 2011. His major res

earch interests include neural engineering, brain-computer interaction, rehabilitation engineering and Neuro-ergonomics.He has also organized and hosted over 20 international and national conferences as the Session Chair or Track Chair over the last 10 years, and was the General Chair of the 2012 an

d 2018 IEEE International Conference on Virtual Environments, Human -Computer Interfaces and Measurement Systems.Dr. Feng He received his MSc and PhD degrees of biomedical engineering from Tianjin University in 1998 and 2009, respectively. He is now a tenure-track associate professor in School of Pr

ecision Instrument and Opto-Electronics Engineering of Tianjin University, China. His research interests include neural engineering, biomedical signal detection and processing, and medical instrument design. Dr. He also holds a membership of Institute of Electrical and Electronics Engineers (IEEE) a

nd Chinese Association for Artificial Intelligence (CAAI). He is a senior member of Chinese Society of Biomedical Engineering (CSBME) and Medical Engineering Division of Chinese Medical Association (CMA).

precision instrument進入發燒排行的影片

BIM應用於科技廠房設施維護管理之案例探討

為了解決precision instrument的問題，作者葉上菁 這樣論述：

科技廠房設施的營運管理與一般建築設施並不相同，本研究乃針對一個具有儲存環館的科技廠房設施為研究案例，該設施提供世界上亮度最高的光源以供國內外相關研究用戶前來實驗，而在要求實驗數據的高品質、高精度前提下，該設施必須無時無刻維持最佳的營運環境狀況。然而該設施目前的營運管理模式大都採被動式管理，新完成的儲存環館建築量體龐大且為環狀，進而使得此特殊廠房之設施維護管理更加複雜。為嘗試不同做法，本研究探討應用建築資訊模型(Building Information Model或BIM)技術於該設施有關建築物維護管理及新實驗站建置之可行性。本研究嘗試應用BIM於四種情境，包括(1)應用於機電土木小組之設施維

護管理、(2)應用於跨部門之共同作業設施維護管理、(3)應用於實驗站之空間模擬與碰撞檢討，以及(4)應用BIM與GPS於環狀建築之座標測量。研究結果顯示應用於四種情境皆具可行性。第一，將5年期間建築消防維修紀錄，全部鍵入BIM模型資料庫，經彙出明細表整理出同性質的維修項目，可與廠商簽訂年度開口合約議價，透過長期合作以量制價應可減少維修成本。另外藉由BIM圖層色塊清楚可顯示出週期性的待維修或換修，將更有效率改被動為定期主動式維護換修。第二，透過應用BIM共同作業於拆牆合併辦公室的情境，應可減少約15%工作天及減少約10%工程費。第三，將光束線實驗站建置於BIM模型上，可做空間模擬與碰撞檢討，也可

出圖作高精準度的放樣，且透過修改參數即可自動連結更新圖面。第四，在此大型環狀科技廠，利用GPS測量儀器於各出口位置測量，將數據儲存於BIM資料庫，並在各出入口標示BIM 3D模型圖結合GPS座標值，應可應用於緊急事故發生時救護車與消防車可迅速準確到達正確廠房的位置進行搶救。

Cyber-Physical Systems: A Reference

為了解決precision instrument的問題，作者 這樣論述：

Prof. Wang Xue is now an associate dean of Department of Precision Instrument at Tsinghua University. He is an associate director of State Key Laboratory of Precision Measurement Technology and Instrument; Director, Institute of Instrument Science and Technology, Tsinghua University. From May 2001 t

o July 2002, he was a visiting professor in Department of Mechanical Engineering at University of Wisconsin. Dr. Wang’s research areas include cyber-physical systems, precision measurement and smart sensor technologies wireless sensor networks measurement systems, computational intelligence, medical

imaging processing, intelligent maintenance and fault diagnosis. Until now, he has published more than 200 papers in international journals and conferences. Dr. Wang is the author of 3 books entitled 《Wireless Sensor Networks Measurement System》，《Measurement Intelligent Information Processing》 and

《Modern Intelligent Information Processing: A practical Approach》. And he has co-authored 4 other books. Dr. Wang is an executive council member of China Instrument and Control Society, associate director member of China Computer Federation Technical Committee on Sensor Network, associate director m

ember of academic committee of Chinese Society for Measurement, executive council member of China Society for measurement, executive council member of Electromagnetic Measuring and Information Processing Instruments Branch of China Instrument and Control Society, member of Fault Diagnosis council of

China Mechanical Engineering Society, member of National Standards Technical Committee for Electrical Measuring Instruments, member of SAC/TC124, member of ISO/TC104; IEEE member, IEEE Instrumentation and Measurement Society Senior Member, IEEE Computer Society Member, IEEE Computational Intelligen

ce Society Member, IEEE Communications Society Member. Dr. Wang is deputy editor-in-chief of 《Chinese Journal of Scientific Instrument》, associate editor of 《Chinese Journal of Mechanical Engineering》 (in English, SCI index) and 《Journal of Measurement Science and Instrumentation》, editor of 《SENSOR

S》 Journal (SCI index). Dr. Wang won several awards including: IEEE instrumentation and measurement society ＂Andi Chi Best Paper Award＂ in 2012, ＂Journal of Parallel and Distributed Computing Top Cited Article 2005-2010＂, ＂Chinese Mechanical Engineering Society Best Paper Award, 2011＂. His Book 《Wir

eless Sensor Networks Measurement System》（in Chinese） won Press and Publication Administration of People’s Republic of China ＂Three 100 Original Engineering Award＂ in 2008. Dr. Wang’s Book 《Measurement Intelligent Information Processing》(in Chinese) and 《Modern Intelligent Information Processing: A

practical Approach》 (in Chinese) won the honor of ＂Beijing Elite Textbook＂; Dr. Wang also won the title of ＂Excellent Editor of 《Scientific challenges of 10000》＂, published by Scientific Press in China, 2011.

不同創新接受程度使用者對Pantone配色應用程式的互動滿意度

為了解決precision instrument的問題，作者陳維真 這樣論述：

在現今瞬息萬變的社會，各行各業彼此激烈競爭，為取得更高的利益，建立品牌（Brand）與品牌個性（Brand Personality），鮮明的印象讓消費者認知與辨別產品特徵已變成趨勢。而為更進一步吸引消費者，對於企業來說，最重要的事情之一就是「色彩」。根據美國公司WebFX Team調查，84.7%的消費者將顏色視為購買特定產品的主要原因，而93%的人們在買東西時會看視覺外觀，且人們在初次觀看後的90秒內會對產品做出購買抉擇。因此，色彩的必要性和準確性，已不再僅適用於印刷業或平面設計師。目前彩通色彩系統（Pantone Matching System）是全世界通用的色彩標準，近年來Panton

e將其色票雲端化，並為設計工作者開發手機應用程式「Pantone Connect」，採用新的Pantone雲端配色軟體，幫助辨識現實生活中物體的色彩，並簡化設計師們在色彩溝通、決策上的過程。本研究以使用者互動滿意度（Questionnaire for User Interaction Satisfaction, QUIS）為問卷構面，探討不同創新接受程度使用者對Pantone Connect App的互動滿意度，依循本研究結果，將樣本總共分為四大類，分為創新者（Innovator）、早期採用者（Early Adopter）、早期大眾（Early Majority）、非創新者（Non - Inn

ovator），並進一步分析，得知（1）受測者的性別會影響Pantone Connect APP介面整體反應的互動滿意度；（2）受測者基本個人資料並不會影響Pantone Connect APP介面呈現的互動滿意度；（3）受測者具有使用Pantone實體色票簿經驗會影響Pantone Connect APP介面用詞和系統資訊的互動滿意程度，其他的個人基本資料並不會有影響；（4）受測者的年齡與創新接受程度會影響Pantone Connect APP學習APP反應的互動滿意程度；（5）沒有使用Pantone實體色票簿經驗與沒有聽過Pantone Connect APP的受測者對APP性能的互動滿意

程度較高；（6）受測者的個人基本資訊與創新接受程度並不會對Pantone Connect APP使用者介面可用性的互動滿意程度產生影響；（7）互動滿意度與創新程度呈現正相關，當創新性越高，使用者的「整體反應」、「介面呈現」、「介面用詞與系統資訊」、「學習APP反應」滿意度越高。