• Journal of Digital Convergence
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• v.10 no.8
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• pp.39-44
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• 2012

The objective of this paper is to provide the conceptual selection framework of SLA metrics to maximize the operation efficiency and satisfaction of IT outsourcing and how to select most efficient auto service call center and system. With these metrics, both customers and service providers can measure service performance of IT outsourcing service. Hence, it is expected to boost operation efficiency and customers' satisfaction. In that sense, this study gives the value to both outsourcing and outsourced companies through suggesting the proper SLA metrics selection framework which provides the standards of service performance measurement and the management of IT outsourcing service in accordance with their business strategy quantitatively and qualitatively. Also we perform a survey for two customers in real business to prove the logicality of this selection framework is working and to find out relationship between SLA practice and customers' satisfaction while they outsource their IT service.

• Explosives and Blasting
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• v.13 no.4
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• pp.28-38
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• 1995

This paper was addressed by fall seminar of society of explosives engineers of Korea. In Japan, total length of cable was 600km and tokyo was 260km and it will extend cable tunnel 5~10km every year in Tokyo. NTT service project has been working as a optic fiber net works and in 2010, it will be done. FIF. FTTH so call fiber to the home for the purpose of multiplicity. For the above project. First, it should be developing auto Non-excavation tech, 2nd developing soil recycling system.

• Journal of the Korea Safety Management & Science
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• v.22 no.1
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• pp.9-14
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• 2020

Artificial intelligence (AI) has been applied to most industries by enhancing automation and contributing greatly to efficient processes and high-quality production. This research analyzes the applications of AI-based automobile accident prevention systems. It deals with AI-based collision prevention systems that learn information from various sensors attached to cars and AI-based accident detection systems that automatically report accidents to the control center in the event of a collision. Based on the literature review, technological and institutional changes are taking place at the national levels, which recognize the effectiveness of the systems. In addition, start-ups at home and abroad as well as major car manufacturers are in the process of commercializing auto parts equipped with AI-based collision prevention technology.