MIDAS-M: A Software Framework for Supporting Multimodal Interaction on Heterogeneous Interaction Devices for Cloud Applications

Author(s):  
Myunghee Lee ◽  
Gerard J. Kim ◽  
Jeonghyun Baek
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Ho-Kyeong Ra ◽  
Hee Jung Yoon ◽  
Sang Hyuk Son ◽  
John A. Stankovic ◽  
JeongGil Ko

With the exponential improvement of software technology during the past decade, many efforts have been made to design remote and personalized healthcare applications. Many of these applications are built on mobile devices connected to the cloud. Although appealing, however, prototyping and validating the feasibility of an application-level idea is yet challenging without a solid understanding of the cloud, mobile, and the interconnectivity infrastructure. In this paper, we provide a solution to this by proposing a framework called HealthNode, which is a general-purpose framework for developing healthcare applications on cloud platforms using Node.js. To fully exploit the potential of Node.js when developing cloud applications, we focus on the fact that the implementation process should be eased. HealthNode presents an explicit guideline while supporting necessary features to achieve quick and expandable cloud-based healthcare applications. A case study applying HealthNode to various real-world health applications suggests that HealthNode can express architectural structure effectively within an implementation and that the proposed platform can support system understanding and software evolution.


2019 ◽  
Vol 214 ◽  
pp. 07011
Author(s):  
Nikita Balashov ◽  
Alexander Baranov ◽  
Sergey Belov ◽  
Ivan Kadochnikov ◽  
Vladimir Korenkov ◽  
...  

The complexity of modern software libraries and applications makes it hard to predict possible workloads generated by the software that may lead to significant underutilization of hardware in Infrastructure-as-a-Service (IaaS) clouds. In this paper, we give a review of an approach aimed to deal with resource underutilization in cloud environments, including description of a developed software framework and an example algorithm. IaaS clouds following this universal approach can help increase overall cloud resource utilization independently of the variety of cloud applications.


Author(s):  
Da-Yin Liao

Contemporary 300mm semiconductor manufacturing systems have highly automated and digitalized cyber-physical integration. They suffer from the profound problems of integrating large, centralized legacy systems with small islands of automation. With the recent advances in disruptive technologies, semiconductor manufacturing has faced dramatic pressures to reengineer its automation and computer integrated systems. This paper proposes a Distributed-Ledger, Edge-Computing Architecture (DLECA) for automation and computer integration in semiconductor manufacturing. Based on distributed ledger and edge computing technologies, DLECA establishes a decentralized software framework where manufacturing data are stored in distributed ledgers and processed locally by executing smart contracts at the edge nodes. We adopt an important topic of automation and computer integration for semiconductor research &development (R&D) operations as the study vehicle to illustrate the operational structure and functionality, applications, and feasibility of the proposed DLECA software framework.


2009 ◽  
Vol 29 (9) ◽  
pp. 2541-2545
Author(s):  
Wen HAO ◽  
Ling-mei AI ◽  
Ying-hui WANG

Sign in / Sign up

Export Citation Format

Share Document