• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.7
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• pp.1335-1343
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• 2012

Although navigation systems and automatic identification technologies are in use for nautical safety of ocean vessels, ship collisions are increasing due to the growing number of overseas transportations. Since these accidents are mostly caused by the watch officers and crews' human mistakes, it is essential to develop a new set of systems to prevent such misfortunes. Therefore, we suggest a control and management system which monitors crews in order to conduct secure on-board navigation and nautical safety. We also materialized a mobile terminal system and portable device for the crews to check the status of the ship, and we designed a platform for an integrated surveillance system to assure a harmless voyage. Lastly, we attested the mutual connections of integrated safety-related data.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.1023-1029
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• 2007

우리는 국가 경쟁력의 한 분야인 사업관리에 있어 계획, 수행, 성과관리, 개선에 최적의 프로세스 보유가 요구된다. 그러나 Project관리체계의 현 실태는 일정관리, 범위관리, 비용관리에 초점을 맞춘 일정관리체계, WBS(Work Breakdown Structure) 및 OBS(Organizational Breakdown Structure)관리, 비용관리체계의 부분 통합 혹은 서로의 연계 정도이다. 본 연구는 최적의 사업관리를 위하여 계약관리에 체계공학을 연계하여 계약 전에 WBS, IMP/IMS(Integrated Master Plan)/(Integratcd Master Schedule), TPM(Technical Performance Measurement) 등의 SEP(Systems Engineering Plan)와 계약 후의 이행을 검증 할 수 있는 과정의 Guideline을 제시하고, IEEE 1220, ANSI/EIA 632 순기 의거 개념설계부터 통합시험에 이르는 체계공학 순기에 따른 비용예측이 가능한 USC(University of Southern CalIfornia) 대학의 COSYSMO (Constructive Systems Engineering Cost ModeI)를 소개하고 적용 가능성을 고찰하며, Project의 전순기에 걸쳐 TPM 혹은 Quality를 비용과 일정에 통합하여 관리하는 PBEV(Performance Based Earned Value)모델을 소개하고 적용 가능성을 제시한다. Project 관리에 있어 System 차원을 강조한 SE(Systems Engineering), 비용예측의 CM(Cost Management), 성과관리를 위한 EVM(Earned Value Management)의 통합은 사업 관리에 역량을 강화하며 경쟁력을 향상 시킬 수 있는 적절한 접근으로 사료된다.

• Journal of Communications and Networks
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• v.15 no.3
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• pp.301-311
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• 2013

This paper proposes a policy-based quality of service (QoS) management framework for adaptive routing decisions. We present an approach considering interior gateway protocol (IGP) for path discovery mechanisms and QoS-aware policies for configuring the network elements. The integration of the aforementioned modules into this policy-based network management (PBNM) system is demonstrated by conducting experiments in a real environment, the hellenic public administration network SYZEFXIS. These experiments combine different traffic conditioning mechanisms through event detectors, consider IP service level agreement mechanisms that interoperate with the PBNM system and analyze the enforcement of IGP and QoS policies. Finally, validation and measurement tools are used to prove the efficiency of this framework. It is shown that this architecture offers significantly increased performance and learning capabilities, while the PBNM system achieves adaptive QoS routing through automated configuration considering the avoidance of suboptimal routing issues or under-performance conditions of the network entities.

• Journal of Conservation Science
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• v.37 no.5
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• pp.440-450
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• 2021

Temperature and humidity data collection using real-time sensors and data loggers was conducted for integrated pest management in the collection storage and exhibition space of the Jeongnimsaji Museum, Buyeo. The real-time temperature and humidity monitoring system collected measurement data every 30 minutes and enabled real-time confirmation of the data through a linked application. If the temperature and humidity data measured in the real-time temperature and humidity monitoring system exceeds the set range, a push notification was sent to the mobile phone of the person in charge to provide status information to establish a continuous management system. Through this, it was possible to immediately recognize and take action when the temperature range exceeded the recommended relic temperature in August. We performed data visualization on the concentration of airborne fungus in the storage area and the inflow path and density of insects. Based on the recommended criteria presented by the National Institute of Cultural Heritage, The data on the spatial and temporal concentration of airborne fungus inside the collection storage were found to be maintained at a value below the standard recommended by the National Institute of Cultural Heritage (80 CFU/m³). Also, as a result of the insect inflow survey, no insects were captured inside the storage area, and in the case of the exhibition space, insects such as Scutigera coleoptrata, Loxoblemmus arietulus, Diestrammena asynamora, Koreoniscus racovitzai were captured. Based on this, as a result of visualization according to the individual density of captured insects by area, it was confirmed that the main inflow paths of insects were the external entrance and the toilet area.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.143-149
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• 2021

As the need to establish a big data system for rapid provision of big data and efficient management of resources has emerged due to rapid entry into the hyper-connected intelligence information society, public institutions are pushing to establish a big data system. Therefore, this study analyzed and combined the success factors of big data-related studies and the specific aspects of big data in public institutions based on the measurement of environmental factors for establishing an integrated information system for higher education institutions. In addition, 19 measurement items reflecting big data characteristics were derived from big data experts using brainstorming and Delphi methods, and a plan to successfully apply them to public institutions that want to build big data systems was proposed. We hope that this research results will be used as a foundation for the successful establishment of big data systems in public institutions.

• Journal of Korean Society for Quality Management
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• v.45 no.4
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• pp.917-932
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• 2017

Purpose: This study aims to identify the most important quality construct among system quality, information quality, and service quality, which are integrated as the second-order construct; perceived quality, and to investigate the relationship between perceived quality, learner satisfaction, learner enjoyment, switching cost, and learner loyalty. Method: Data were collected from learners who had taken e-learning course, and the analysis was conducted in two phases. The first phase described demographic characteristics using SPSS23.0; the second phase involved the second order CFA of perceived quality and the analysis of measurement model and structural model through AMOS 23.0. Results: (1) The explanatory power of system quality, information quality, and service quality appears to be almost equal; (2) Perceived quality positively influences only both learner satisfaction and switching cost; (3) Only learner satisfaction positively influences learner loyalty and switching cost negatively influences learner loyalty. Conclusion: Learner enjoyment does not play an important role in this study, which could be extrapolated in regard to the characteristics of sample. The respondents are over high school students, who emphasize on the acquisition of knowledge rather than enjoyment. Additionally, the result implies that respondents show low loyalty in the high switching cost.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.447-450
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• 2010

Today a relatively small reservoirs and reclamation insufficient freshwater Agricultural Water Quality to collect and analyze information online, Analyzed in real-time information delivery and database hwahameurosseo agricultural water quality management of reservoirs and freshwater lakes can be systematically. In this paper, a remote user to automatically measure water and measured to provide information collected from each sensor and integrate information connected to your wireless network and Integrated control measures as well as real-time monitoring of the operational point of observation from a web site in real-time information about the water to retrieve the user's computer and the user consists of a mobile communication terminal.

• Journal of The Korean Society of Agricultural Engineers
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• v.62 no.6
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• pp.63-72
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• 2020

With the implementation of integrated water management policies, the need for information sharing with respect to agricultural water use has increased, necessitating the quantification of irrigation water supply using monitoring data. This study aims to estimate the irrigation water supply amount based on the relationship between the water level and irrigation canal discharge, and evaluate the reliability of monitoring data for irrigation water supply in terms of hydrology. We conducted a flow survey in a canal and reviewed the applicability of the rating curve based on the exponential and parabolic curves. We evaluated the reliability of the monitoring data using a reservoir water balance analysis and compared the calculated results of the supply quantity in terms of the reservoir water reduction rate. We secured 26 readings of measurement data by varying the water levels within 80% of the canal height through water level control. The exponential rating curve in the irrigation canal was found to be more suitable than the parabolic curve. The irrigation water supplied was less than 9.3-28% of the net irrigation water from 2017 to 2019. Analysis of the reservoir water balance by applying the irrigation water monitoring data revealed that the estimation of the irrigation water supply was reliable. The results of this study are expected to be used in establishing an evaluation process for quantifying the irrigation water supply by using measurement information from irrigation canals in agricultural reservoirs.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.1
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• pp.14-26
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• 2022

Recently, according to the severity of air pollution, interest in air pollution is increasing. The IoT based fine dust monitoring system proposed in this paper allows the measurement and monitoring of fine dust, volatile organic compounds, carbon dioxide, etc., which are the biggest causes affecting the human body among air environmental pollution. The proposed system consisted of a device that measures atmospheric environment information, a server system for storing and analyzing measured information, an integrated monitoring management system for administrators and smart phone applications for users to enable visualization analysis of atmospheric environment information in real time. In addition, the effectiveness of the proposed fine dust monitoring system based on the Internet of Things was verified by using the response speed of the system, the transmission speed of the sensor data, and the measurement error of the sensor. The fine dust monitoring system based on the Internet of Things proposed in this paper is expected to increase user convenience and efficiency of the system by visualizing the air pollution condition after measuring the air environment information with portable fine dust measuring device.

• The Journal of the Korea Contents Association
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• v.20 no.4
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• pp.14-24
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• 2020

This paper aims to establish an efficient national R&D Application Programming Interface (API) management system for national R&D data-driven management and explore the possibility of using operational data according to the recent global data openness and sharing policy. In accordance with the trend of opening and sharing of national R&D data, we plan to improve management efficiency by analyzing operational data of the national R&D API service. For this purpose, we standardized the parameters for the national R&D APIs that were distributed separately by integrating the individual APIs to build a national R&D API management system. The results of this study revealed that the service call traffic of the national R&D API has shown 554.5% growth in the year as compared to the year 2015 when the measurement started. In addition, this paper also evaluations the possibility of using operational data through data preparation, analysis, and prediction based on service operations management data in the actual operation of national R&D integrated API management system.