• Journal of the Society of Disaster Information
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• v.19 no.3
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• pp.498-509
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• 2023

Purpose: This paper proposes a method detecting the falling of a maintenance worker in the underground utility tunnel, by applying deep learning techniques using CCTV video, and evaluates the applicability of the proposed method to the worker monitoring of the utility tunnel. Method: Each rule was designed to detect the falling of a maintenance worker by using the inference results from pre-trained YOLOv5 and OpenPose models, respectively. The rules were then integrally applied to detect worker falls within the utility tunnel. Result: Although the worker presence and falling were detected by the proposed model, the inference results were dependent on both the distance between the worker and CCTV and the falling direction of the worker. Additionally, the falling detection system using YOLOv5 shows superior performance, due to its lower dependence on distance and fall direction, compared to the OpenPose-based. Consequently, results from the fall detection using the integrated dual deep learning model were dependent on the YOLOv5 detection performance. Conclusion: The proposed hybrid model shows detecting an abnormal worker in the utility tunnel but the improvement of the model was meaningless compared to the single model based YOLOv5 due to severe differences in detection performance between each deep learning model

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.8B
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• pp.509-520
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• 2007

In this paper, we propose a real-time sensor node platform that guarantees the real-time scheduling of periodic and aperiodic tasks through a multitask-based software decomposition technique. Since existing sensor networking operation systems available in literature are not capable of supporting the real-time scheduling of periodic and aperiodic tasks, the preemption of aperiodic task with high priority can block periodic tasks, and so periodic tasks are likely to miss their deadlines. This paper presents a comprehensive evaluation of how to structure periodic or aperiodic task decomposition in real-time sensor-networking platforms as regard to guaranteeing the deadlines of all the periodic tasks and aiming to providing aperiodic tasks with average good response time. A case study based on real system experiments is conducted to illustrate the application and efficiency of the multitask-based dynamic component execution environment in the sensor node equipped with a low-power 8-bit microcontroller, an IEEE802.15.4 compliant 2.4GHz RF transceiver, and several sensors. It shows that our periodic and aperiodic task decomposition technique yields efficient performance in terms of three significant, objective goals: deadline miss ratio of periodic tasks, average response time of aperiodic tasks, and processor utilization of periodic and aperiodic tasks.

• The Korean Journal of Financial Management
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• v.25 no.2
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• pp.103-135
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• 2008

We test the hypothesis whether foreign direct investments(hereafter "FDI") can affect the changes of the firm value. In this study, we use a newly developed event study technique, referred to as value-based event study approach(hereafter "VESA"), which is based on the seminal papers of M&M(1958, 1961, 1963) and Lee(2006, 2007). The empirical findings about the effects of FDI's on the intrinsic firm values, which can be measured by intrinsic Q(hereafter "IQ") values of the VESA, are as follows; First, the FDI's are carried out by healthy firms in terms of high IQ's. The IQ values become higher during the post-FDI period than prior to performing FDI's. Second, among the four components of IQ values, the value of assets-in-place, the value of intangible assets, and the value of growth opportunities are all increased during the post-FDI period, except the value of current earnings. Third, the same results are observed in all the samples classified by industry. In sum, thanks to the above findings in this study, we can conclude that the announcements of the FDI's are good and reliable indicators for the firm to signal to the market that the FDI firms are healthy in intrinsic firm values, and also that they have good chances to increase their firm values through the new investments abroad.

• 한국공간정보시스템학회:학술대회논문집
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• 2007.06a
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• pp.3-8
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• 2007

최근 도로 네트워크 환경에서 이동 객체 위치 정보를 관리하고 이동 객체의 미래 위치를 예측하는 이동 객체 위치 예측 시스템의 필요성이 나날이 증가되고 있다. 이동 객체위치 예측 시스템은 교통 관제 및 다양한 응급 상황 시 이동 객체의 미래 위치를 신속히 예측하기 위해 사용되며, 보다 편리한 위치 기반 서비스의 제공을 가능하게 해준다. 이러한 시스템을 위한 대부분의 미래 인덱싱 기법은 일반적으로 이동 객체의 미래 위치 예측을 위해 과거 이동 궤적을 이용하고 있다. 그러나, 수많은 이동 객체의 과거 이동 궤적 관리가 어렵고, 실시간으로 변화하는 이동 객체의 미래 궤적을 반영하기 위한 방대한 미래 인덱스의 갱신 요청으로 인해 인덱스 유지 비용이 증가하여 미래 위치 질의 요청에 대한 신속한 처리 성능이 떨어지게 된다. 따라서 본 논문에서는 이동 객체 위치 예측 시스템에서 방대한 이동 객체의 과거 이동 궤적으로부터 효율적으로 미래 위치를 예측하기 위해 셀 기반의 미래 인덱싱 방법인 PFCT-Tree(Probability Future Cell Trajectory-Tree)를 제시한다. PFCT-Tree는 방대한 과거 이동 궤적을 셀 단위로 재구성하여 인덱스 크기를 줄이고, 셀 내부 경험치를 기반으로 장기간 질의 시 빠른 미래 위치를 예측할 수 있다. 또한 신속한 미래 이동 궤적의 갱신 속도를 향상시키기 위해 미래 시간을 미래 궤적과 분리하여 인덱싱함으로써 위치 예측 오류로 인한 미래 인덱스 갱신 비용을 최소화 할 수 있다. 마지막으로 실험을 통해 도로 네트워크 환경에서 PFCT-Tree가 기존 인덱싱 기법들보다 갱신 및 검색 성능이 우수함도 입증하였다.ential oil (Bergamot, Grapefruit, Lemon, Petigrain)은 농도 의존적으로 ROS 생성을 증가시켰다. 이상의 결과를 종합하여 볼 때 citrus essential oil은 MSH에 의한 melanin 생성을 억제하는 것으로 보아 미백제로서의 개발 가능성이 있는 것으로 사료된다.가 사용될 수 있음을 제시한다.찍 발견되어 크기는 작았으며, 육안적으로 폴립의 Yamada 형태의 분류는 II, III의 형태를 띠고 있었다.EX>로 한반도 후기 백악기의 고지자기극$(Lat./Long.=70.9^{\circ}N/215.4^{\circ}E,\;A_{95}=5.3^{\circ})$의 위치와 유사하므로 암석의 생성 시기는 후기 백악기로 판단하였다. 한편 함평분지에 분포하는 백악기 화산암류에서는 한 개의 정자화 방향과 두 개의 역자화 방향이 확인되었다. 이들 특성잔류자화 방향은 백악기 화산암 형성 당시 암석에 기록된 성분으로써 당시 지구자기장의 상태를 기록한 것으로 해석하였으며, 이중 정자화 방향을 함평분지 화산암의 대표 방향으로 채택하였다 함평분지 화산암의 고지자기 극의 위치는 정자극의 경우는 $Lat./Long.=70.2^{\circ}N/199.5^{\circ}E,\;(K=18.1,\;A_{95}=9.6^{\circ})$ 이며 역자극의 경우는 $Lat./Long.=65.5^{\circ}S/251.3^{\circ}E,\;(K=7.1,\;A_{95}=20.7^{\circ})$이다. 이중 정자극의 위치는 한반도의 후기 백악기극의 위치와 통계적으로 동일한 것으로 나타나 함평분지 화산암

• Journal of the Korean Society for information Management
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• v.32 no.1
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• pp.135-152
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• 2015

The goal of this paper is to explore the field of Computer and Information Science with the aid of text mining techniques by mining Computer and Information Science related conference data available in DBLP (Digital Bibliography & Library Project). Although studies based on bibliometric analysis are most prevalent in investigating dynamics of a research field, we attempt to understand dynamics of the field by utilizing Latent Dirichlet Allocation (LDA)-based multinomial topic modeling. For this study, we collect 236,170 documents from 353 conferences related to Computer and Information Science in DBLP. We aim to include conferences in the field of Computer and Information Science as broad as possible. We analyze topic modeling results along with datasets collected over the period of 2000 to 2011 including top authors per topic and top conferences per topic. We identify the following four different patterns in topic trends in the field of computer and information science during this period: growing (network related topics), shrinking (AI and data mining related topics), continuing (web, text mining information retrieval and database related topics), and fluctuating pattern (HCI, information system and multimedia system related topics).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.1
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• pp.335-340
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• 2010

In accordance with the increasing possibility that the new and reoccurring epidemics continuously appearing abroad flow into Korea, it is very important to evaluate the efficiency of quarantine management projects of National Quarantine Station. This study adopted the pairwise comparison approach using the analytical hierarchy process(AHP) that has been recognized with its scientific adequacy for allocating the weight, the relative importance of evaluation components. AHP technique is evaluated to be distinguished in measuring the impact by making hierarchy of, simplifying and systemizing the complicated multi-criteria decision making problems. The weights by evaluation indexes were 0.2 in the organization evaluation field and 0.8 in the service and program field. The quarantine business showed the highest value, 0.45, in the service and program field. The indexes were classified into the upper category (organization evaluation field, service and program evaluation field) and lower category (input/process/result/quarantine field, inspection field, hygiene management field, pathogenic organ investigation and monitoring field, epidemics prevention promotion/education field). The evaluation indexes that were finally selected were applied to the actual businesses in National Quarantine Station. Next, the minimum evaluation indexes were selected and so the evaluation system on the businesses in National Quarantine Station was more systemized.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.35 no.12
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• pp.1537-1542
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• 2011

This paper presents the power management strategies for a compound hybrid excavator. The compound hybrid excavator has been replaced the hydraulic swing motor to the electric swing motor. This excavator requires a proper control algorithm to regulate the energy flow between the mechanical coupling and the electric devices. The controller should improve fuel economy and maintain the super capacitor voltage within a proper range. A thermostat controller and ECMS controller are designed such that these objectives can be achieved. The thermostat controller regulates the power of the engine-assist motor on the basis of the super capacitor voltage, and the ECMS controller determines it using the real-time fuel minimization strategy based on the concept of equivalent fuel. Simulation results showed that by using the hybrid excavator, the fuel economy becomes about 20% higher than that obtained using the conventional excavator and that the ECMS controller outperforms the thermostat controller.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.4
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• pp.141-149
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• 2010

Three-dimensional geo-spatial information is important for the efficient use and management of the country and the three-dimensional expression and analysis of urban projects, such as urban plans devised by local governments and urban management. Thanks to the revitalization of the geo-spatial information service industry, it is now being variously used not only in public but also private areas. For the creation of high-guiltily three-dimensional geo-spatial information, emphasis should be placed on not only the quality of the source image and three-dimensional geo-spatial model but also the level of visualization, such as level of detail and texturing. However, in the case of existing three-dimensional geo-spatial information, its establishment process is complicated and its data are not updated frequently enough, as it uses ready-created digital maps. In addition, as it uses Ortho Images, the images exist Relief displacement. As a result, the visibility is low and the three-dimensional models of artificial features are simplified to reach LoD between 2 and 3, making the images look less realistic. Therefore, this paper, analyzed the quality of three-dimensional geo-spatial information created using the three-dimensional modeling technique were applied using Digital photogrammetry technique, using digital aerial photo images by an existing large-format digital camera and multi-looking camera. The analysis of the accuracy of visualization information of three-dimensional models showed that the source image alone, without other visualization information, secured the accuracy of 84% or more and that the establishment of three-dimensional spatial information carried out simultaneously with filming made it easier to gain the latest data. The analysis of the location accuracy of true Ortho images used in the work process showed that the location accuracy was better than the allowable horizontal position accuracy of 1:1,000 digital maps.

• Journal of the Korea institute for structural maintenance and inspection
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• v.17 no.2
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• pp.10-20
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• 2013

To evaluate the safety of a beam structure, strains are measured as an indicator of structural states. However, unless strain sensors are installed exactly on where maximum or other representative strains occur, the techniques by which rational assessment through measured strains is accomplished are required. Thus, this study suggests a process to estimate strain distribution on the steel beam from discrete strains measured by sensors. In the presented technique, the targeted beam is regarded to be subjected to unknown loads so that applicability is enhanced. Final strain distribution is given as form of a function after regression analysis. To verify the performance of estimation, a bending test for steel beam on which distributed and concentrated loads simultaneously act is conducted. From the comparison between estimated and directly measured strains in the test, the curve of strain distribution and the strain at arbitrary location could be predicted within maximum relative error 3.32% and maximum absolute error of $2.32{\mu}{\varepsilon}$, respectively. Thus reliable and practical monitoring is expected to apply effectively for the steel beam structure.

• Korean Journal of Construction Engineering and Management
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• v.12 no.2
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• pp.89-100
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• 2011

As an impactive factor on industries and national economy, The Social Overhead Capital(SOC) is major factor to determine the national competitiveness and the investment of SOC is essential for its economic growth. Accordingly, introduction of the preliminary feasibility study and establishment of legal institutionalization and evaluation system has been carried out and reviewed since 1999. Nevertheless of these efforts, basic problems such as lack of scientific method for investment evaluation and loss of effectiveness on feasibility studies are continuously being brought up. Moreover, as the preliminary study to improve the mentioned problems is mainly focused on the economic and estimated demand analysis, the study of policy analysis, the most important phase during a feasibility study, is still insufficient. Therefore, in this paper, a quantitative decision-making model, to which the performance assessment method of Value Engineering(VE) is applied, is developed and proposed to improve the policy analysis of (preliminary) feasibility study that requires combining with relative studies, to induce quantitative analysis method, and to contribute the improvement of value on the political aspect for SOC investment goals and use as a strategic decision-making method by systematic analysis.