智慧城市项目优胜者 BIG Architecture DPC 的“Toyota Woven City”Toyota Woven City 是世界上第一个城市孵化器，致力于在日本富士山脚下推动各个方面的移动性发展。这条主要街道针对更快的自动驾驶汽车进行了优化，一条适合自行车和踏板车等微型交通工具的休闲长廊，以及一个专供行人、动植物群的线性公园，旨在为不...
智慧城市项目优胜者 BIG Architecture DPC 的“Toyota Woven City” Toyota Woven City 是世界上第一个城市孵化器,致力于在日本富士山脚下推动各个方面的移动性发展。这条主要街道针对更快的自动驾驶汽车进行了优化,一条适合自行车和踏板车等微型交通工具的休闲长廊,以及一个专供行人、动植物群的线性公园,旨在为不同...
6.智慧城市获胜者: BIG Architecture DPC 的“Toyota Woven City” 7.健康奖:中国矿业大学建筑与设计学院“上海可变形模块化COVID-19防疫医院” 8.再利用获胜者: STUDIO V Architecture 的“筒仓城” 9.道德与价值观获奖者: 3deluxe 的“ #WeThePlanet Campus” 10.数字技术获奖者: Schneider+Schumacher Intern...
This paper will focus on the French DPC (DPCC) architecture based on Hadoop.Laurence ChaoulVeronique ValetteBenoit FrezoulsAstronomical Data Analysis Software and Systems Conference
This generation of Xeon Scalable, Intel’s first on 10nm, uses a newer architecture Sunny Cove core. Benefits of this core, as explained by Intel, start with an extra 20% raw performance increase, enabled through a much wider core with an improved front end and a more execution resources....
This research work attempts to develop a novel stochastic architecture based on UT, which requires very few numbers of μPMUs, to communicate in a secured blockchain-enabled structure to allocate and detect the smart grid irregularities and faults. Such a blockchain-based technique can be ...
Mapreduce architecture for Phase I (frequent singleton generation) Full size image Phase II—frequent itemsets generation Adaptive-Miner uses an adaptive approach and select conventional or reduced approach for every iteration based on the nature of the dataset. It iterates until all frequent itemsets...
First, Hadoop MapReduce architecture is used in the counting support phase to define each item’s support. Next, divide the transaction data sets according to MIS values in chunks of databases, and analyse them respectively. In contrast, transactions containing items with similar item support are ...
A Functional Architecture of High Performance Marmot is a functional architecture that processes geospatial big data in parallel with MapReduce jobs for both batch and streaming services. A MapReduce job usually divides big data sets into separate chunks which are processed by map tasks in parallel....
forecasting tools, their adoption in real operation scenario is not prone to side effects, which mainly derive from the lack of rigorous and generalized methodologies for identifying the network architecture, and the difficulties in managing the intrinsic time-variation effects of the wind forecasting ...