• Journal of the Korean Society for Railway
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• v.14 no.5
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• pp.416-424
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• 2011

The recent development of USN (Ubiquitous Sensor Network) technology has broadened its applications to many fields of industry. The USN technology enables the system to monitor and control the status of distributed sensor nodes based on the low-powered communications. Applying the USN in the train control domain, the operational efficiency can be enhanced, where the reliability and the safety of the system are the key challenges. This paper suggests the system design for evaluating and improving the reliability and safety of the gateway, which is a USN component that manages the radio network among the sensors and collects the information from them. For this purpose, the reliability and the level of safety integrity of a general gateway have been predicted quantitatively and the supplementary design has been proposed for the selected week points. The verification on the reliability and the safety of the improved gateway according to the related standards has been followed. With the results of the study, the applicability of USN gateway for train control systems has been reviewed.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.103-113
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• 2020

The Gaya Period is the period in which the nations of Gaya had existed in the Gimhae area. The term 'The Period of the Three Nations', which is widely used, is inappropriate because in ancient Korea, Gaya also existed besides Goguryeo, Baekje and Silla. This term should be corrected for the accurate reconstruction of the history of ancient Korea. Of course, the term 'The Gaya Period' cannot replace 'The Period of the Three Nations'. It just means the period in which the nations of Gaya existed. The Gaya Period refers to the period of about 600 years from about the first century, in which several nations of Gaya began to appear in the Gyeongsangnamdo area, through the falls of Daegarak of Kimhae in 532 A.D. and Daegaya of Goryeong in 562. When doing this, there should be no distortion of the original form of the relics. With the application of traditional techniques and excellent relics, it is believed that it helps to create the high added values by putting culture and tourism together with the development of various designs of cultural goods. To suggest possibility of scarf designs by completing protype from idea scatch.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.21-30
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• 2018

The Gaya Period is the period in which the nations of Gaya had existed in the Gimhae area. The term 'The Period of the Three Nations', which is widely used, is inappropriate because in ancient Korea, Gaya also existed besides Goguryeo, Baekje and Silla. This term should be corrected for the accurate reconstruction of the history of ancient Korea. Of course, the term 'The Gaya Period' cannot replace 'The Period of the Three Nations'. It just means the period in which the nations of Gaya existed. The Gaya Period refers to the period of about 600 years from about the first century, in which several nations of Gaya began to appear in the Gyeongsangnamdo area, through the falls of Daegarak of Kimhae in 532 A.D. and Daegaya of Goryeong in 562. When doing this, there should be no distortion of the original form of the relics. With the application of traditional techniques and excellent relics, it is believed that it helps to create the high added values by putting culture and tourism together with the development of various designs of cultural goods. To suggest possibility of necktie designs by completing protype from idea scatch.

• Fire Science and Engineering
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• v.17 no.4
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• pp.20-27
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• 2003

Hazard Analysis is one of the basic tasks to ensure the safety of chemical plants. However, it is an arduous, tedious, time-consuming work and requires multidisciplinary knowledge and demands considerable cognitive load from the analysts. To overcome these problems, there have been attempts to automate this work by utilizing computer technology, particularly in the area of knowledge-based technique. There is two methods in the risk assessment of Chemical plant; quantitative and qualitative risk assessment. Both of them have been applied respectively, but if the integrated method of quantitative and qualitative risk assessments is used, all of the advantage of two methods can be applied. It is difficult to carry out integrated risk management of chemical plant. Therefore, automated integration system of risk management is necessary. We developed S/W Automated System for Hazard Screening & Analysis(ASCA) and applied to practical plant. By applying ASCA to case study, we can get the information about relative ranks of equipments, variable deviation, and consequence of potential accident. In this study, we applied ASCA to the H.T.U(Hydrotreating Unit) of the process to produce aromatic material. We could know relative ranks of equipments, variable deviation of malfunction in storage tank, D-101, and consequence of potential accident using ASCA. If integrated risk management in the chemical plant is applied, we can develop the emergency plan and prevent the accident.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.2
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• pp.119-125
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• 2015

A concentration meter is widely used at purification plants, sewage treatment plants and waste water treatment plants to sort and transfer high concentration sludge and to control the amount of chemical dosage. When the strange substance is contained in the sludge, however, the attenuation of ultrasonic wave could be increased or not be transmitted to the receiver. At that case, the value of concentration meter is higher than the actual density value or vibrated up and down. It has also been difficult to automate the residuals treatment process according to the problems as sludge attachment or damage of a sensor. Multi-beam ultrasonic concentration meter has been developed to solve these problems, but the failure of the ultrasonic beam of a specific concentration measurement value degrade the performance of the entire system. This paper proposes the method to improve the accuracy of sludge concentration rate by choosing reliable sensor values and learning them by proposed algorithm. The prediction algorithm is chosen as neuro-fuzzy model, which is tested by the various experiments.