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24H夏威夷漫旅

為了解決ICE Index的問題，作者橫井直子 這樣論述：

夏威夷玩好玩滿！ 本書將帶你暢遊夏威夷整整24小時！ 以最好的方式，度過最棒的時光！ 夏威夷要帶給你的真正面貌全都濃縮在這裡！   　　【三言兩語揪出小鎮特色】 　　冬天才有的特殊光景就是要觀賞衝浪手的英姿 　　哈雷伊瓦，潮流的發源地餐車美食巡禮 　　稱霸3大北部名產 　　如果第一次到夏威夷玩的話，一定要吃到哈雷伊瓦三寶！ 　　1.蒜爆鮮蝦 　　2.刨冰 　　3.Huli Huli Chicken。 　　ACCESS 　 　　【5h遊玩路線】 　　10:00發現全歐胡島最可愛飾品！ 　　11:00在融入城鎮的自然派咖啡廳&商店觀察衝浪手！ 　　14:00外表可愛、內在有機的香皂可以

當作伴手禮 　　13:00前往衝浪女孩的愛店 　　12:00帶著咖啡與甜點在街上悠哉散步 　　前往北海岸之前，先在古色古香的小鎮裡走走，逛逛衝浪手們最愛的商店吧。   　　【在充滿歷史情懷的城鎮尋找美食】 　　最新潮文化與老夏威夷交雜的城鎮 　　從搭船旅遊最風行的時代開始，唐人街就溫暖地展開雙臂，迎接到港的旅客。 　　這裡不僅保留了磚造建築和花圈商店這些往昔的風貌，同時也有越來越多特色商店冒了出來。年輕人為這座城鎮挹注了全新的活力，特別在飲食方面，可說是歐胡島數一數二的等級。 　　這時來就對了！每月第一個星期五 　　每月第1個星期五舉辦活動時，街上會有人演奏音樂、而這一帶的店家也都會延長營業時

間，彷彿一場盛大的慶典。 　　遊覽夏威夷在地藝術家的藝廊 　　以夏威夷人氣藝術家Pegge Hopper為首，不少夏威夷藝術家都有開設藝廊。而且還有販售適合當伴手禮的明信片喔。 　　高品質美食令人驚艷 　　午餐時段，在Downtown工作的人會魚貫而入，而晚上下班後，也會有不少當地人到這裡喝一杯。這裡的食物品質非常高！   　　【咦？這樣也不禮貌！？ 夏威夷有哪些意想不到的禮節？】 　　得宜的小費給法 　　飲酒相關的不當行為 　　飲用水最好用買的 　　電壓不同 　　這裡不能吸菸 　　禁止「J-Walk」 　　需遵守服裝規定

ICE Index進入發燒排行的影片

再生礦物填充料類型與含量對密級配熱拌瀝青混凝土力學特性之影響

為了解決ICE Index的問題，作者Tarekegn Kumala Sherre 這樣論述：

Investigation of recycled waste materials as a replacement of conventional filler is one alternative problem solving mechanism in hot mix asphalt (HMA). This study was designed to analyze the characteristics of two recycled fillers called hollow concrete block (HCB) powder and brick powder (BP), to

assess impacts of filler type and content on the mechanical and cracking properties of hot mix asphalt (HMA) at 3%, 5% and 7% as a full replacements for limestone (LS) filler. The recycled materials and limestone fillers obtained from construction and demolition wastes (CDW) site, and naturally min

ed for commercial uses, respectively. Filler characteristics were examined using different cutting-edge technologies, such as laser diffraction particle size analysis (LDS), Fourier transform infrared (FTIR), Brunauer, Emmette, and Teller method (BET), X-ray diffractometer (XRD), scanning electron m

icroscope (SEM) and energy dispersive x-ray spectroscopy (EDS). Rotational viscosity and dynamic rheological properties of asphalt mastic with recycled filler over a wide range of frequencies and temperatures have shown better values than the conventional filler. The respective effects of the recycl

ed fillers and the mechanical properties of the HMA mixtures were assessed by investigating superpave volumetric analysis, indirect tensile strength (ITS), moisture damage by tensile strength ratio (TSR), permanent deformation and indirect tensile cracking indices (IDTindex) tests. The analysis of t

he volumetric properties revealed that the 5% of each fillers content was considered as an optimum filler content in the mixtures among the three fillers percentages (3%, 5% and 7%). Thus, the mechanical properties had investigated at the optimum 5%, except for IDT crack tests that used three differ

ent % of fillers. The results demonstrated that mixture with the HCB powder recorded a 6% higher TSR value than the LS mixture and 7.2% higher TSR value than the BP mixture. Mixtures with the HCB powder significantly improved the moisture, rutting, and cracking resistance of the HMA, which are fact

ors critical to extend the life of asphalt concrete. In contrast, using BP results in mixed values and negative effects particularly in terms of moisture resistance and rutting. The filler concentrations had also significant effect on the cracking performance of the asphalt. Peak loads and fracture

energy were increased as filler percentages were increased from 3%, 5% to 7% while the cracking indices such as cracking tolerance index (CT-index), flexibility index (FI), fractural energy index (FEI), toughness index (TI), crack resistance index (CRI), and fracture strain tolerance ( FST) were gov

erned at the 5% filler concentration. Strong linear correlations were observed for the R2 values of 0.89, 0.85, 0.84 and 0.68 for the CT index, FI, FEI, and TI, respectively, while a moderate correlation with 0.52 R2 for CRI and a weak correlation with 0.44 R2 for FST were observed between both spec

imen diameters. Therefore, both of the specimen diameters examined in this study (100mm and 150mm) may use interchangeably to characterize the crack performance of HMA using the IDT test due to the test results found and discriminated low variability of cracking indices.

Smart Transportation: AI Enabled Mobility and Autonomous Driving

為了解決ICE Index的問題，作者 這樣論述：

Guido Dartmann, Professor and group leader of the research area Distributed Systems and member of the Institute for Software Systems (ISS) at the Environmental Campus of the Trier University of Applied Sciences. Guido Dartmann studied Computer Engineering at the RWTH Aachen University and received t

he Dipl.-Ing. in 2007. After his graduate studies, he became research assistant at the Institute of Communication Technology and Embedded Systems (ICE) of the RWTH Aachen University where he finished his PhD in cooperation with the Bell Labs Stuttgart. In 2012, he became chief engineer at ICE. From

2013-2015 he was also coordinator of the profile area Information and Communication Technology at the RWTH Aachen where he supported the spokesperson Prof. Ascheid. Since 02/2016, Prof. Dartmann is a full professor at Trier University of Applied Sciences and guest professor at the ICE. His research

interests include distributed systems, data analytics, signal processing, optimization of technical systems, cyber-physical systems, wireless communication, cyber-security, internet of things, traffic and mobility, and machine learning in medical applications. His research was granted by several gra

nts of the German Federal Ministry of Education and Research (BMBF) and European Research. Prof. Dartmann is senior member of the IEEE and reviewer of several IEEE Transactions and he and has published more than 50 scientific papers in peer-reviewed journals, books and conference proceedings. Prof.

Dartmann has received two best paper awards and the Borchers Medal of the RWTH Aachen.Prof. Dartmann is member of the expert group Internet of Things at the national Information Technology Summit. Anke Schmeink, Professor and group leader of the research area Information Theory and Systematic Design

of Communication Systems (ISEK) at RWTH Aachen University.Anke Schmeink received the diploma degree in mathematics with a minor in medicine and the Ph.D. degree in electrical engineering and information technology from RWTH Aachen University, Germany, in 2002 and 2006, respectively. She worked as a

research scientist for Philips Research before joining RWTH Aachen University in 2008 where she is an associate professor since 2012. She spent several research visits with the University of Melbourne, Australia, and with the University of York, UK. Anke Schmeink is a member of the Young Academy at

the North Rhine-Westphalia Academy of Science. She has received diverse awards, in particular, three best paper awards and the Vodafone Young Scientist Award. Anke Schmeink is a senior member of IEEE. In 2012, she was a guest editor for the special issue ＂Recent Advances in Optimization in Wireless

Networks and Communications＂ for the EURASIP Journal on Wireless Communications and Networking. Anke Schmeink has been reviewer for several journal papers and conference proceedings and has been on the technical program committee for numerous international conferences. Anke Schmeink has published m

ore than 90 scientific papers in peer-reviewed journals and conference proceedings.Her research interests are in information theory, optimization of networks and biomedical problems and the analysis of the resulting data.Volker Lücken, Expert Research (Automated Driving and Artificial Intelligence),

e.GO Mobile AG.Volker Lücken received his diploma degree in electrical engineering from RWTH Aachen University, with a focus on information and communication technology. From 2012 to 2018, he worked as a research associate at the Institute for Communication Technologies and Embedded Systems (ICE),

RWTH Aachen University. There, his fields of interest were mobile communications, embedded systems, signal processing and machine learning applications. Besides several publications and patents in these fields, he also accompanied the research & development and commercialization for Smart-City-centr

ic IoT and sensor signal processing applications. For his work, he also received the ＂HiPEAC Technology Transfer Award＂ in 2017. In 2018, he joined the research department of e.GO Mobile AG, which is an automotive OEM in the field of electrical mobility. There, he covers the topics of automated driv

ing technologies and artificial intelligence applications, and is responsible for several research projects in these domains.Houbing Song, Assistant Professor, Embry-Riddle Aeronautical　University; Director, Security and　Optimization for　Networked　Globe Laboratory (SONG Lab, www.SONGLab.us) Houbing

Song　received the Ph.D. degree in electrical engineering from the University of Virginia, Charlottesville, VA, in August 2012, and the M.S. degree in civil engineering from the University of Texas at El Paso, TX, in December 2006.In August 2017, he joined the Department of Electrical, Computer, Soft

ware, and Systems Engineering, Embry-Riddle Aeronautical　University, Daytona Beach,　FL, where he is currently an Assistant Professor and the Director of the Security and　Optimization for　Networked　Globe Laboratory (SONG Lab,　www.SONGLab.us). He served on the faculty of West Virginia University from

August 2012 to August 2017. In 2007 he was an Engineering Research Associate with the Texas A&M Transportation Institute. He serves as an Associate Technical Editor for IEEE Communications Magazine. He is the editor of four books, including Smart Cities: Foundations, Principles and Applications, Hob

oken, NJ: Wiley, 2017, Security and Privacy in Cyber-Physical Systems: Foundations, Principles and Applications, Chichester, UK: Wiley-IEEE Press, 2017, Cyber-Physical Systems: Foundations, Principles and Applications, Boston, MA: Academic Press, 2016, and Industrial Internet of Things: Cybermanufac

turing Systems, Cham, Switzerland: Springer, 2016.　 He is the author of more than 100 articles. His research interests include cyber-physical systems, cybersecurity and privacy, internet of things, edge computing, big data analytics, unmanned aircraft systems, connected vehicle, smart and connected

health, and wireless communications and networking.Dr. Song is a senior member of both IEEE and ACM. He was the very first recipient of the Golden Bear Scholar Award, the　highest campus-wide　recognition for research　excellence at West Virginia University Institute of Technology (WVU Tech), in 2016.　

Martina Ziefle is a psychologist and full professor of Communication Science at RWTH Aachen University. She is one of four directors of the Human- Computer Interaction Center (HCIC) at RWTH Aachen. In addition, she is steering board member of RWTH Aachen’s profile area Mobility and transport technol

ogies and member of both, IEEE and ACM. Her research is concerned with human interaction and communication of humans with technology addressing the human factor in different technology types and using contexts. The impact of individual cognitive and affective factors on technology acceptance and the

interaction and communication between humans and technology is integral part of the user- centered research approach. A special research focus is directed to humans and their interaction and communication with autonomous vehicles, exploring users’ perceptions, attitudes and social factors that infl

uence the intention to use nove, mobility technologies. Martina Ziefle is (co-)author of more than 400 publications (h-index 35). Martina Ziefle leads various projects funded by industry and public authorities, dealing with technology acceptance, risk perception and communication as well as the inte

raction and communication of humans with technology. Giovanni Prestifilippo has been Managing Director of PSI Logistics since 2013, where he previously held the position of Area Manager and Authorized Signatory at the Dortmund location since 2008. He holds a doctorate in computer science and has bee

n responsible for the development and marketing of the PSIglobal product right from the start. Prior to this, he held a management position at the Fraunhofer Institute for Material Flow and Logistics since 1993 and received his doctorate in efficient algorithms in logistics from the Faculty of Mecha

nical Engineering at the University of Dortmund. Until 2009 he worked in parallel as a partner and senior partner in VCE Verkehrslogistik GmbH. Against the background of these many years of experience in the analysis, planning and optimisation of complex logistics networks, he has also been a lectur

er and speaker in the logistics environment since 2001. Dr. Giovanni Prestifilippo is associated with various research institutions such as FIR, Fraunhofer IML, Fraunhofer SCS, TU Berlin as well as VDI, BVL, VDMA and GOR.

基於人因工程之道路智慧照明研究

為了解決ICE Index的問題，作者劉軍希 這樣論述：

本文研發一種結合人因照明與智慧控制的創新策略，運用可變光型之LED智能路燈設計，搭配影像式輝度計，基於IoT sensor-driven之理念，藉由輝度計偵測路面照明狀態，透過AI影像判斷車輛與輝度條件，可自動調適燈具輸出兩種不同型態的配光曲線，分別是平均照度與照度均勻度優先的照度光學設計，適合於未下雨的乾燥路面之視覺判別；及平均輝度與輝度均勻度優先的輝度光學設計，更適合於濕滑路面之行車狀況，有效提升駕駛人的視覺清晰度，可以解決雨後路面濕滑所造成的駕駛人無法正確辨識路面狀況及反射眩光之危害議題，優化全時段道路安全與用路人視覺清晰度，有助於改善長期以來，夜間下雨溼滑時所造成的交通意外。另外透過

燈具照射於改質瀝青、再生瀝青等新舊不同材質的瀝青道路鋪面之量測數據，評估路面的照明光學效果，可以估測鋪面輝度反射係數q，並與現場道路鋪面量測的國際糙度指標(International Roughness Index, IRI)、鋪面狀況指標(Pavement Condition Index, PCI)兩項指標值進行比值分析，找出相關聯之曲線配對，可以長期蒐集與建立大數據，探討本系統之運算因子，發展出最佳道路照明建構模式，供道路鋪面材質重置刨舖生命週期之參考。研究期間，本論文所研發雙配光曲線設計之LED智慧路燈與控制系統，實際應用於桃園市智慧路燈工程的建設，實測驗證路面乾濕度不同條件下，路燈燈具

應有不同的配光特性，才能提升行車安全；並再經由智慧亮度控制，可以兼顧節能與行車安全，對於未來的道路照明工程規劃設計及維護，具有引導性的貢獻。