• The Journal of the Convergence on Culture Technology
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• v.4 no.3
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• pp.227-233
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• 2018

In recent years, connected car, which has sensors and computers attached to vehicles used to detect the surrounding environment, has been actively studied. However, in order to configure the connected car environment, various sensors and roadside equipments are required to detect the surrounding environment of the vehicle, and also communication techniques for transmitting the collected data are in demands. Therefore, in this paper, the mobile virtual fence that collects and communicates the data of the surrounding environment through the sensor mounted on the mobile device is applied to the vehicles that were released before the connected car service environment was constructed, We propose a mechanism to receive the service and show the possibility through experiment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.12
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• pp.5669-5684
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• 2018

The new mobile edge network architecture has been required for an increasing amount of traffic, quality requirements, advanced driver assistance system for autonomous driving and new cloud computing demands on highway. This article proposes a hierarchical cloud computing architecture to enhance performance by using adaptive data load distribution for buses that play the role of edge computing server. A vehicular dynamic cloud is based on wireless architecture including Wireless Local Area Network and Long Term Evolution Advanced communication is used for data transmission between moving buses and cars. The main advantages of the proposed architecture include both a reduction of data loading for top layer cloud server and effective data distribution on traffic jam highway where moving vehicles require video on demand (VOD) services from server. Through the description of real environment based on NS-2 network simulation, we conducted experiments to validate the proposed new architecture. Moreover, we show the feasibility and effectiveness for the connected car media service on highway.

• 전자공학회논문지 IE
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• v.44 no.4
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• pp.11-18
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• 2007

Concept of URC does "with me wherever when, and the robot" which provides necessary service to me can be simply defined. This paper uses URC technology and various robots are implemented with a design. That is, we are going to implement that a user controls a virtual robot by communication between URC server with a design. We used an intelligent robot simulation tool, and a developer was easy, and it was intelligent, and we were connected to active URC server, and modeling did a system for simulation to be able to do an URC robot usefully. It was connected to an URC system and various robots and environments were composed with 3D, and, in this paper, a design and implementation did an intelligent robot simulation system so that it was possible by various contents development through simulation. The URC communication protocol and the URC server were based on a Planet v.1.2 ; Network Protocol, CAMUS(Context-Aware Middleware for URC Systems); URC Server, SAM(Service Agent Manager) v.1.2 ; Service API module developed in Electronics & Telecommunications Research Institute (ETRI).

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.68-77
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• 2017

In order to implement the smart home environment, we need an intelligence service platform that learns the user's life style and behavioral patterns, and recommends appropriate services to the user. The intelligence service platform should embed a couple of effective and efficient data mining algorithms for learning from the data that is gathered from the smart home environment. In this study, we evaluate the suitability of data mining algorithms for smart home intelligent service platforms. In order to do this, we first develop an intelligent service scenario for smart home environment, which is utilized to derive functional and technical requirements for data mining algorithms that is equipped in the smart home intelligent service platform. We then evaluate the suitability of several data mining algorithms by employing the analytic hierarchy process technique. Applying the analytical hierarchy process technique, we first score the importance of functional and technical requirements through a hierarchical structure of pairwise comparisons made by experts, and then assess the suitability of data mining algorithms for each functional and technical requirements. There are several studies for smart home service and platforms, but most of the study have focused on a certain smart home service or a certain service platform implementation. In this study, we focus on the general requirements and suitability of data mining algorithms themselves that are equipped in smart home intelligent service platform. As a result, we provide a general guideline to choose appropriate data mining techniques when building a smart home intelligent service platform.

• Journal of the Ergonomics Society of Korea
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• v.24 no.1
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• pp.43-46
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• 2005

The future information technologies and service paradigm will move from PC, the general purpose desktop computing environment, to the next-generation PC that provides information any where, any time, and any device. The next-generation PC such as wearable computers are specialized to the human-centric functionalities and always-on connected services. In this study, service infrastructure of wearable computing with WBAN(Wearable Body Area Network) was suggested for the ubiquitous computing environment.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.103-110
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• 2020

The fire incident of KT's Ahyun branch occurred last year indicates that hyper-connected society led by 5G technology would be a dystopia instead of a utopia unless seamless connection of 5G service is well secured. Looking backward on 1999, we could peacefully and happily greet the new millennium by making a great effort to prevent the millennium bugs(Y2K) from causing the catastrophe such as a shut-down of banking system. Likewise, we should make a great effort to keep 5G networks and 5G service continuously working without the disruption of even just a second, which would enable us to avoid facing any catastrophes caused by the disruption of 5G service. As a way to do so, it can be considered that 5G service is designated as universal service because it has the key features of public goods like telephone and high-speed internet services.

• Smart Media Journal
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• v.7 no.4
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• pp.30-36
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• 2018

Single domain model like DataLake framework is in spotlight because it can improve data efficiency and process data smarter in big data environment, where large scaled business system generates huge amount of data. In particular, efficient operation of network, storage, and computing resources in logical single domain model is very important for physically partitioned multi-site data process. Based on the advantages of Data Lake framework, we define and extend the concept of Connected Data Architecture and functions of DataLake framework for integrating multiple sites in various domains and managing the lifecycle of data. Also, we propose the design of CDA-based AI service and utilization scenarios in various application domain.

• Smart Media Journal
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• v.10 no.1
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• pp.99-107
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• 2021

In addition to the 4th Industrial Revolution and Industry 4.0, the recent megatrends in the ICT field are Big-data, IoT, Cloud Computing, and Artificial Intelligence. Therefore, rapid digital transformation according to the convergence of various industrial areas and ICT fields is an ongoing trend that is due to the development of technology of AI services suitable for the era of the 4th industrial revolution and the development of subdivided technologies such as (Business Intelligence), IA (Intelligent Analytics, BI + AI), AIoT (Artificial Intelligence of Things), AIOPS (Artificial Intelligence for IT Operations), and RPA 2.0 (Robotic Process Automation + AI). This study aims to integrate and advance various machine learning services of infrastructure-side GPU, CDA (Connected Data Architecture) framework, and AI based on mass distributed Abyss storage in accordance with these technical situations. Also, we want to utilize AI business revenue model in various industries.

• Journal of the Korea Computer Industry Society
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• v.7 no.5
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• pp.487-494
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• 2006

By development of the superhigh speed network and the Networked appliance, a home network environment was equipped quickly around the cyber apartment. The home network environment provides the abundant family life style which numerous appliance and tools are connected with the network. Recently it is caused by with appearance of the Networked appliance which is connected with the network, the service demand is augmented to hacking, wrong operation, breakdown, crime prevention in home automation, fire, and break-in. This paper planned and proposed the integrated crisis management service model in the environment of home network and Networked appliance. Namely, it classifies the Networked appliance crisis management service and it defines a crisis management message with the XML. The message where the crisis situation occurs is notified and controlled in wireless PDA or the hand phone or the specific authorization.

• Journal of Environmental Science International
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• v.11 no.6
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• pp.537-541
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• 2002

This study aimed to obtain the relative formula with the unit treatment cost according to the treatment of a sewage plant in the service area under highway. The following results were obtained. The correlative formula connected to amount of sewage(Q)generation was as follows ; between an annual amount of sale(C) showed Q=19.113$.$C$\^$0.9294/, and between the number of users(P) showed Q=2${\times}$10$\^$-8/ $.$P$^2$- 0.0298$.$P + 75,666. The correlative formula connected to the treatment cost was as follows , according to the amount of sewage generation showed S= 3${\times}$10$\^$-6/$.$Q 0-0.2266$.$Q+29,895, according to the elimination of BOD(E) showed S=6${\times}$10$\^$-5/$.$E$^2$-0.6717$.$E + 27,744, according to the annual amount of sale showed S=0.0005 C$^2$-4.8013$.$C + 35,118, with the number, of persons(P) using the service area showed S= 2${\times}$10$\^$-8/ $.$P$^2$- 0.046$.$P + 48,803.