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Joyce Kim

dblp:173/8182 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0002-7614-5906ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 91% Electronic design automation · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems › cyber-physical systems
cyber-physical system design
0.312018
Design Automation for Smart Building Systems · Proc. IEEE 2018
Embedded and real-time systems › embedded system design
platform-based design
0.312018
Design Automation for Smart Building Systems · Proc. IEEE 2018
Embedded and real-time systems › cyber-physical systems
smart buildings
0.312018
Design Automation for Smart Building Systems · Proc. IEEE 2018
Electronic design automation
design space exploration
0.112018
Design Automation for Smart Building Systems · Proc. IEEE 2018

Methods — techniques the papers use, named apart from their topics

platform-based design · 0.3
YearPublicationVenuePosition
2018 Design Automation for Smart Building Systems
abstract
Smart buildings today are aimed at providing safe, healthy, comfortable, affordable, and beautiful spaces in a carbon and energy-efficient way. They are emerging as complex cyber-physical systems with humans in the loop. Cost, the need to cope with increasing functional complexity, flexibility, fragmentation of the supply chain, and time-to-market pressure are rendering the traditional heuristic and ad hoc design paradigms inefficient and insufficient for the future. In this paper, we present a platform-based methodology for smart building design. Platform-based design (PBD) promotes the reuse of hardware and software on shared infrastructures, enables rapid prototyping of applications, and involves extensive exploration of the design space to optimize design performance. In this paper, we identify, abstract, and formalize components of smart buildings, and present a design flow that maps high-level specifications of desired building applications to their physical implementations under the PBD framework. A case study on the design of on-demand heating, ventilation, and air conditioning (HVAC) systems is presented to demonstrate the use of PBD.
Ruoxi Jia 0001, Baihong Jin, Ming Jin 0002, Yuxun Zhou, Ioannis C. Konstantakopoulos, Han Zou, Joyce Kim, Dan Li 0016, Weixi Gu, Reza Arghandeh, Pierluigi Nuzzo 0002, Stefano Schiavon, Alberto L. Sangiovanni-Vincentelli, Costas J. Spanos
Proc. IEEE7