• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.31-45
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• 2017

According to the railway accident statistics in recent years, the frequency of accidents has been significantly reduced, due to the advance of related technologies and the establishment of safety information management systems. Nonetheless, accidents due to errors in the operation and maintenance phase and faults in safety design continue to occur. Therefore, to prevent accidents, guidelines for the safety design and manufacture of railway vehicles were established, and a request for the independent safety evaluation of safety designs was made. To respond to this, rail system developers must prepare safety cases as a safety activity product. One of the main items of these safety cases is the safety-related application conditions (SRAC) and, thus, the question of how to develop these SRAC is an important one. The SRAC studies reported so far focused only on the simplicity of the derivation procedure and the specific safety activities in the design phase. This method seems to have the advantage of quickly deriving SRAC items. However, there is a risk that some important safety-related items may be missing. As such, this paper proposes an improved method of developing the SRAC based on the idea of performing both the safety design and safety evaluation activities throughout the whole system lifecycle. In this way, it is possible to develop and manage the SRAC more systematically. Especially, considering the SRAC from the initial stage of the design can allow the safety requirements to be reflected to a greater extent. Also, an application case study on railway signaling systems shows that the method presented herein can prevent the omission of important safety-related items, due to the consideration of the SRAC throughout the system lifecycle.

• Current Research on Agriculture and Life Sciences
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• v.31 no.4
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• pp.286-294
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• 2013

Increasing concern for the health, well-being, and income of the people has expectedly brought continuous increase in the industrial value of medicinal plants in recent years as these are also used in foods and cosmetics. However, Korea's increased import of these products from China due to the FTA contract causes negative effects on its industrial value. In this regard, various measures for medicinal crop seed development and production, organization and expansion of circulation and forest land use deregulation are needed to promote the agricultural food industry including medicinal plants. As a measure, first, a database of medicinal plants should be built that can help to promote the national medicinal industry and the seed management system. Second, agricultural productivity should be enhanced via the development and supply of varieties of high quality medicinal plants. Third, there should be a good practice of the system maintenance for the production and supply of medicinal crop seeds. Fourth, production and distribution system of medicinal plants should be established by standardization of high quality seeds. Nowadays, the consumption pattern of medicinal crops is changing from direct ingestion to cosmetics, drugs, and food and this is expected to increase continuously. Consequently, the increased production of medicinal crops will support the development policy and the institutional improvement in response to this trend of the positive change of industrialization.

• Journal of Korea Port Economic Association
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• v.30 no.4
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• pp.47-67
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• 2014

This study examined elements which could evaluate a container terminal logistics system from the viewpoint of supply chain management. This study derived the elements of a container terminal logistics system such as flexibility, reliability, responsiveness, and information sharing and 16 evaluation sub-items in the aspect of a supply chain. In the result of analysis, the weight between SCM elements of a container terminal logistics system was the highest in reliability(0.282), followed by flexibility(0.273), responsiveness(0.224), and information sharing(0.221). The conversion weight was calculated by combining the weight of elements of a container terminal logistics system and the weight of evaluation sub-items. The highest weight which was considered as the most important factor to evaluate a container terminal logistics system was work planning(berth, yard) of flexibility(0.081), followed by accurate fulfillment of container work schedule(ship, yard) and the optimum distribution and arrangement of equipment(QC, TC, YT)(0.079), stable works without damage of containers and ships(0.071), and preventive maintenance of equipment and operators' skill(0.070).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.680-687
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• 2016

Although advanced weapon system weapons with high-performance and various functions have been developed, weapon defects can be fatal in the weapons industry. Therefore, the army requires quality improvement to reduce the number of defects which occur during both the development and operation of the weapon system. Recently, many manufacturers, including weapons manufacturers, have conducted analyses using defect related big-data in order to improve the quality. However, there have been few data analyses, because it is difficult to obtain the data required for the analysis of the development phase. Therefore, this study summarizes the pattern of the weapon system, military organization, and defect types using the actual data of the Post-Logistics Support (PLS) phase. The PLS data, which is referred to as the data collected after force integration, includes information on requests for maintenance. Through this information, this study selects key variables and analyzes the selected variables. The analysis results show the critical factors to be considered during the development phase. Finally, this study proposes a framework for advanced PLS systems using the PLS data. The proposed framework enables the development time of weapon systems to be further shortened and their quality to be improved.

• International Journal of Contents
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• v.12 no.2
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• pp.12-23
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• 2016

This paper presents a novel concept of Disaster Prevention Design (DPD) and its derived subjects and topics for the safety of folk villages in both Korea and Japan. Nowadays, design concepts are focused on 'human-oriented nature' as a whole and this tendency fits to be appropriate for disaster prevention against real dangers of a future society, which is expected to have far more complicated features. On the other hand, convergences have performed with other areas in the field of Information Communication Technology (ICT) so that we can easily find examples like 'the strategy of ICT-based convergence' of the Korean Government in 2014. Modern content designs including UI (user interface) and USN (ubiquitous sensor network) have been developed as one of the representative areas of ICT & UD (universal design) convergences. These days this novel concept of convergence is overcoming the existing limitations of the conventional design concept focused on product and/or service. First of all, from that point our deduced topic or subject would naturally be a monitoring system design of constructional structures in folk villages for safety. We offer an integrated model of maintenance and a management-monitoring scheme. Another important point of view in the research is a safety sign or sign system installed in folk villages or traditional towns and their standardization. We would draw up and submit a plan that aims to upgrade signs and sign systems applied to folk villages in Korea and Japan. According to our investigations, floods in Korea and earthquakes in Japan are the most harmful disasters of folk villages. Therefore, focusing on floods in the area of traditional towns in Korea would be natural. We present a water-level expectation model using deep learning simulation. We also apply this method to the area of 'Andong Hahoe' village which has been registered with the World Cultural Heritage of UNESCO. Folk village sites include 'Asan Oeam', 'Andong Hahoe' and 'Chonju Hanok' villages in Korea and 'Beppu Onsen' village in Japan. Traditional Streets and Markets and Safe Schools and Parks are also chosen as nearby test-beds for DPD based on ICT. Our final goal of the research is to propose and realize an integrated disaster prevention and/or safety system based on big data for both Korea and Japan.

• Journal of Internet Computing and Services
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• v.23 no.5
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• pp.47-58
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• 2022

In recent years, navigation aids, which plays as sea traffic lights, have been digitized, and are developing beyond simple sign purpose to provide various functions such as marine information collection, supervision, control, etc. For example, Busan Port which is located in South Korea is leading the application of the advanced technologies by installing cameras on buoys and recording video images to supervise maritime accidents. However, there are difficulties to perform their major functions since the advanced technologies require long-term battery operation and also management and maintenance of them are hampered by marine characteristics. This study proposes a system that can automatically notify maritime objects passing around buoys by analyzing image information. In the existing sensor-based accident prevention systems, the alarms are generated by a collision detection sensor. The system can identify the cause of the accident whilst even though it is difficult not possible to fundamentally prevent the accidents. Therefore, in order to overcome these limitations, the proposed a maritime object detection system is based on marine characteristics. The experiments demonstrate that the proposed system shows about 5 times faster processing speed than other existing algorithms.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.4
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• pp.222-237
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• 2022

This study was performed to predict change of forestland area in future to 2050 based on System Dynamics Model which is based on feedback loop by causal relationship. As forestland area change in the future depends on potential forestland conversion demands, each demand type of forestland conversion such as agricultural, industrial, public and residential/commercial use was modeled using annual GDP, population, number of household, household construction permission area (1981~2019). In results, all of conversion demands would have continuously decreased to 2050 while residential and commercial land would be reduced from 2034. Due to such shortage, eventually, total of forestland in South Korea would have decreased to 6.18 million ha when compared to current 6.29 million ha. Moreover, the forestland conversion to other use types must be occurred continuously in future because most of forestland is owned privately in South Korea. Such steady decrement of forestland area in future can contribute to the shortage of carbon sink and encumber achievement of national carbon-neutral goal to 2050. If forestland conversion would be occurred inevitably in future according to such change trends of all types, improved laws and polices related to forestland should be prepared for planned use and rational conservation in terms of whole territory management. Therefore, it is needed to offer sufficient incentive, such as tax reduction and payment of ecosystem service on excellent forestland protection and maintenance, to private owners for minimizing forestland conversion. Moreover, active afforestation policy and practice have to be implemented on idle land for reaching national goal 'Carbon Neutral to 2050' in South Korea.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.1-8
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• 2023

If there is a defect in the wheel bearing, which is a major part of the car, it can cause problems such as traffic accidents. In order to solve this problem, big data is collected and monitoring is conducted to provide early information on the presence or absence of wheel bearing failure and type of failure through predictive diagnosis and management technology. System development is needed. In this paper, to implement such an intelligent wheel hub bearing maintenance system, we develop an embedded system equipped with sensors for monitoring reliability and soundness and algorithms for predictive diagnosis. The algorithm used acquires vibration signals from acceleration sensors installed in wheel bearings and can predict and diagnose failures through big data technology through signal processing techniques, fault frequency analysis, and health characteristic parameter definition. The implemented algorithm applies a stable signal extraction algorithm that can minimize vibration frequency components and maximize vibration components occurring in wheel bearings. In noise removal using a filter, an artificial intelligence-based soundness extraction algorithm is applied, and FFT is applied. The fault frequency was analyzed and the fault was diagnosed by extracting fault characteristic factors. The performance target of this system was over 12,800 ODR, and the target was met through test results.

• Journal of the Korean Geosynthetics Society
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• v.23 no.2
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• pp.43-52
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• 2024

Recent abnormal climate conditions have increased the risk of slope collapses, which frequently result in significant loss of life and property due to the absence of early prediction and warning dissemination. In this paper, we develop a slope condition analysis system using IoT sensors and AI-based camera to assess the condition of slopes. To develop the system, we conducted hardware and firmware design for measurement sensors considering the ground conditions of slopes, designed AI-based image analysis algorithms, and developed prediction and warning solutions and systems. We aimed to minimize errors in sensor data through the integration of IoT sensor data and AI camera image analysis, ultimately enhancing the reliability of the data. Additionally, we evaluated the accuracy (reliability) by applying it to actual slopes. As a result, sensor measurement errors were maintained within 0.1°, and the data transmission rate exceeded 95%. Moreover, the AI-based image analysis system demonstrated nighttime partial recognition rates of over 99%, indicating excellent performance even in low-light conditions. Through this research, it is anticipated that the analysis of slope conditions and smart maintenance management in various fields of Social Overhead Capital (SOC) facilities can be applied.

• Journal of the Korea Society for Simulation
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• v.18 no.3
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• pp.73-82
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• 2009

Due to the many advantages including low price, low power consumption, and miniaturization, the CMOS camera has been utilized in many applications, including mobile phones, the automotive industry, medical sciences and sensoring, robotic controls, and research in the security field. In particular, the 360 degree omni-directional camera when utilized in multi-camera applications has displayed issues of software nature, interface communication management, delays, and a complicated image display control. Other issues include energy management problems, and miniaturization of a multi-camera in the hardware field. Traditional CMOS camera systems are comprised of an embedded system that consists of a high-performance MCU enabling a camera to send and receive images and a multi-layer system similar to an individual control system that consists of the camera's high performance Micro Controller Unit. We proposed the SL-AVS (Small Size/Low power Around-View System) to be able to control a camera while collecting image data using a high speed synchronization technique on the foundation of a single layer low performance MCU. It is an initial model of the omni-directional camera that takes images from a 360 view drawing from several CMOS camera utilizing a 110 degree view. We then connected a single MCU with four low-power CMOS cameras and implemented controls that include synchronization, controlling, and transmit/receive functions of individual camera compared with the traditional system. The synchronization of the respective cameras were controlled and then memorized by handling each interrupt through the MCU. We were able to improve the efficiency of data transmission that minimizes re-synchronization amongst a target, the CMOS camera, and the MCU. Further, depending on the choice of users, respective or groups of images divided into 4 domains were then provided with a target. We finally analyzed and compared the performance of the developed camera system including the synchronization and time of data transfer and image data loss, etc.