• KIPS Transactions on Software and Data Engineering
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• v.9 no.1
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• pp.1-10
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• 2020

Service robots providing services according to user's needs in dynamically changing environments should be able to utilize external services such as cloud services. Cloud services are, however, changing and expanding continuously and thus the interface to the services must be general and flexible to adapt to the changes of the functionality and data of the services. In order to facilitate the adaptation of the interface to the changes, a model-based general interface to various cloud services is proposed. In this approach, a general and extensible interface is realized by defining standard service profiles that can be easily extended to adapt to the changed services. Experiments with intelligent service robots show satisfying results exhibiting flexible adaptations to new or changed external services.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.1
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• pp.18-38
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• 2017

Infrastructure-as-a-Service (IaaS) clouds provide infrastructure as a pool of virtual resources, and the public IaaS clouds, e.g. Amazon Web Service (AWS) and private IaaS cloud toolkits, e.g. OpenStack, CloudStack, etc. provide their own application programming interfaces (APIs) for managing the cloud resources they offer. The heterogeneity of the APIs, however, makes it difficult to access and use the multiple cloud services concurrently and collectively. In this paper, we explore previous efforts to solve this problem and present our own implementation of an integrated cloud API, which can make it possible to access and use multiple clouds collectively in a uniform way. The implemented API provides a RESTful access and hides underlying cloud infrastructures from users or applications. We show the implementation details of the integrated API and performance evaluation of it comparing the proprietary APIs based on our cloud testbed. From the evaluation results, we could conclude that the overhead imposed by our interface is negligibly small and can be successfully used for multi-cloud access.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.8
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• pp.85-92
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• 2016

Mobile cloud computing (MCC) is not just extensions of cloud concepts into mobile environments, but the service technologies that all mobile devices including smartphone can use the desired services by using cloud technology without the constraints of time and space. Currently, a lot of works on mobile cloud computing have been actively researching, whereas user interfaces are not so much researched. The main features and contributions of this paper are as follows. First, develop UI considering UX that is different from conventional interfaces supported by SPICE. Second, combine two button interface into one button interface when keyboard is used in mobile cloud computing clients. Third, develop a mouse interface suitable for mobile cloud computing clients. Fourth, in mobile cloud computing client, solve a problem that the selection of button/files/folder has at the corner. Finally, in mobile cloud computing clients we change mouse scroll mapping functions from volume button to scroll interface in touch-screen. The results of performance evaluation shows that users can input easily with the increased and fixed mouse interface. Since shortcut keys instead of the complex button keys of keyboard are provided, the input with 3-6 steps is reduced into 1 step, which can simply support complex keys and mouse input for users.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.3
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• pp.623-638
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• 2017

Application fields of cloud technologies have been gradually expanded with development of technology development and diversification of services. Cloud technology is used for investment efficiency, operation efficiency and service competitive advantage in digital broadcasting platform. Recently, Cloud broadcasting platform commercialized for UI(User Interface) and data broadcasting in Korea, and broadcasting service competition becomes fierce. Cloud technology of broadcasting provides remove a service dependency hardware resource and software architecture on STB device, and unified operation of user interface and service using cloud server without legacy separating management of STB types. In this paper, we explain application effects in image based cloud broadcasting service platform.

• The Journal of the Korea Contents Association
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• v.11 no.5
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• pp.148-156
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• 2011

Recently, an introduction of the cloud computing causes rapid changes in every aspect of the internet environments including hardware, operating systems, applications, and their services. As the cloud computing environment based on SaaS are being developed to a form in which web platform technology and web cloud services are converged. The digital library system also has been being developed to a service model optimized to SaaS based cloud computing environment, which are different from ASP technology. From the web interface point of view, user customization of the SaaS based cloud computing environment is the most important fact. Therefore, this research work suggests a customized web interface considering usability and accessibility so that enterprises and individual users can be able to do an effortless internet browsing under the cloud computing environment. For this purpose, usability tests were carried out as the user customized web interface design were developed and applied to the LinkSaaS website. This paper work lastly presents an UI environment on which customized interface design for individual users can be formulated.

• Journal of Internet of Things and Convergence
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• v.9 no.1
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• pp.25-31
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• 2023

The brain-machine interface(BMI) is a next-generation interface that controls the device by decoding brain waves(also called Electroencephalogram, EEG), EEG is a electrical signal of nerve cell generated when the BMI user thinks of a command. The brain-machine interface can be applied to various smart devices, but complex computational process is required to decode the brain wave signal. Therefore, it is difficult to implement a brain-machine interface in an embedded system implemented in the form of an edge device. In this study, we proposed a new type of brain-machine interface system using IoT technology that only measures EEG at the edge device and stores and analyzes EEG data in the cloud computing. This system successfully performed quantitative EEG analysis for the brain-machine interface, and the whole data transmission time also showed a capable level of real-time processing.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.2
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• pp.403-412
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• 2017

With the introduction of BIM and ICT technology, 'Cloud-based collaborative design support system' has been actively researched and new user interface is needed to support it. When developing the user interface, scenario - based design method is selected which based on the actual usage scenarios to anticipate the usage situation and reflect the user's requirements. However, since the existing scenario-based design technique is an inductive method, it is difficult to cover the usage situation of all users when creating the usage scenario. For this reason, there is a need for a new scenario creation method that can systematically create and modify scenarios instead of inductive methods. This study proposes a 'Multi-scenario-based design method' that complemented the existing method and verify its usability by applying it to the user interface development process of 'Cloud-based collaborative design support system'.

• Journal of Communications and Networks
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• v.18 no.2
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• pp.135-149
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• 2016

Cloud radio access network (C-RAN) refers to the virtualization of base station functionalities by means of cloud computing. This results in a novel cellular architecture in which low-cost wireless access points, known as radio units or remote radio heads, are centrally managed by a reconfigurable centralized "cloud", or central, unit. C-RAN allows operators to reduce the capital and operating expenses needed to deploy and maintain dense heterogeneous networks. This critical advantage, along with spectral efficiency, statistical multiplexing and load balancing gains, make C-RAN well positioned to be one of the key technologies in the development of 5G systems. In this paper, a succinct overview is presented regarding the state of the art on the research on C-RAN with emphasis on fronthaul compression, baseband processing, medium access control, resource allocation, system-level considerations and standardization efforts.

• Journal of the Korea Convergence Society
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• v.7 no.1
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• pp.17-23
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• 2016

In this paper, we describe a case of utilizing SaaS technology to build NC Post-processor(WBS) based cloud computing. Developed WPS system was implemented to provide stable and continuous system service by utilizing SCoD methodology. WPS is designed user interface module and control engine module. The interface module is downloaded in a client PC and the control engine is installed in cloud parm area. These modules are connected with computer network. WPS was completed a function test for sheet cutting field and mold manufacturing field, and it is processing a commercial service using with improve the user's convenience and adding a bill charge module.

• Korean Journal of Remote Sensing
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• v.31 no.1
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• pp.1-9
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• 2015

Mobility and cloud platform have become the dominant paradigm to develop web services dealing with huge and diverse digital contents for scientific solution or engineering application. These two trends are technically combined into mobile cloud computing environment taking beneficial points from each. The intention of this study is to design and implement a mobile cloud application for remotely sensed image fusion for the further practical geo-based mobile services. In this implementation, the system architecture consists of two parts: mobile web client and cloud application server. Mobile web client is for user interface regarding image fusion application processing and image visualization and for mobile web service of data listing and browsing. Cloud application server works on OpenStack, open source cloud platform. In this part, three server instances are generated as web server instance, tiling server instance, and fusion server instance. With metadata browsing of the processing data, image fusion by Bayesian approach is performed using functions within Orfeo Toolbox (OTB), open source remote sensing library. In addition, similarity of fused images with respect to input image set is estimated by histogram distance metrics. This result can be used as the reference criterion for user parameter choice on Bayesian image fusion. It is thought that the implementation strategy for mobile cloud application based on full open sources provides good points for a mobile service supporting specific remote sensing functions, besides image fusion schemes, by user demands to expand remote sensing application fields.