• Title/Summary/Keyword: Acquisition Environment

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The LVC Linkage for the Interoperability of the Battle Lab (Battle Lab에서의 상호운용성을 위한 LVC 연동방안)

  • Yun, Keun-Ho;Shim, Shin-Woo;Lee, Dong-Joon
    • Journal of the Korea Society for Simulation
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    • v.21 no.1
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    • pp.81-88
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    • 2012
  • In the M&S filed, The Battle Lab is available for acquisition, design, development tool, validation test, and training in the weapon system of development process. Recently, the Battle Lab in the military of Korea is still in an early stage, in spite of importance of battle lab construction. In the environment of network centric warfare, a practical use of the M&S which is connecting live, virtual and constructive model can be applied to all field of System Engineering process. It is necessary thar the Battle Lab is not restricted by time and space, and is possible for the technical implementation. In this paper, to guarantee the interoperability of live and virtual simulation, virtual simulators connect live simulators by using the tactical data link. To guarantee the interoperability of virtual and constructive simulation, both virtual simulators and constructive simulators use the RTI which is the standard tool of M&S. We propose the System that constructed the Air Defence Battle Lab. In case of the approach of target tracks, The Air Defence Battle Lab is the system for the engagement based on a command of an upper system in the engagement weapon system. Constructive simulators which are target track, missile, radar, and launcher simulator connect virtual simulators which are MCRC, battalion, and fire control center simulators using the RPR-FOM 1.0 that is a kind of RTI FOM. The interoperability of virtual simulators and live simulators can be guaranteed by the connection of the tactical data links which are Link-11B and ATDL-1.

Development and Validation of A Decision Support System for the Real-time Monitoring and Management of Reservoir Turbidity Flows: A Case Study for Daecheong Dam (실시간 저수지 탁수 감시 및 관리를 위한 의사결정지원시스템 개발 및 검증: 대청댐 사례)

  • Chung, Se-Woong;Jung, Yong-Rak;Ko, Ick-Hwan;Kim, Nam-Il
    • Journal of Korea Water Resources Association
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    • v.41 no.3
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    • pp.293-303
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    • 2008
  • Reservoir turbidity flows degrade the efficiency and sustainability of water supply system in many countries located in monsoon climate region. A decision support system called RTMMS aimed to assist reservoir operations was developed for the real time monitoring, modeling, and management of turbidity flows induced by flood runoffs in Daecheong reservoir. RTMMS consists of a real time data acquisition module that collects and stores field monitoring data, a data assimilation module that assists pre-processing of model input data, a two dimensional numerical model for the simulation of reservoir hydrodynamics and turbidity, and a post-processor that aids the analysis of simulation results and alternative management scenarios. RTMMS was calibrated using field data obtained during the flood season of 2004, and applied to real-time simulations of flood events occurred on July of 2006 for assessing its predictive capability. The system showed fairly satisfactory performance in reproducing the density flow regimes and fate of turbidity plumes in the reservoir with efficient computation time that is a vital requirement for a real time application. The configurations of RTMMS suggested in this study can be adopted in many reservoirs that have similar turbidity issues for better management of water supply utilities and downstream aquatic ecosystem.

Highly Reliable Fault Detection and Classification Algorithm for Induction Motors (유도전동기를 위한 고 신뢰성 고장 검출 및 분류 알고리즘 연구)

  • Hwang, Chul-Hee;Kang, Myeong-Su;Jung, Yong-Bum;Kim, Jong-Myon
    • The KIPS Transactions:PartB
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    • v.18B no.3
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    • pp.147-156
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    • 2011
  • This paper proposes a 3-stage (preprocessing, feature extraction, and classification) fault detection and classification algorithm for induction motors. In the first stage, a low-pass filter is used to remove noise components in the fault signal. In the second stage, a discrete cosine transform (DCT) and a statistical method are used to extract features of the fault signal. Finally, a back propagation neural network (BPNN) method is applied to classify the fault signal. To evaluate the performance of the proposed algorithm, we used one second long normal/abnormal vibration signals of an induction motor sampled at 8kHz. Experimental results showed that the proposed algorithm achieves about 100% accuracy in fault classification, and it provides 50% improved accuracy when compared to the existing fault detection algorithm using a cross-covariance method. In a real-world data acquisition environment, unnecessary noise components are usually included to the real signal. Thus, we conducted an additional simulation to evaluate how well the proposed algorithm classifies the fault signals in a circumstance where a white Gaussian noise is inserted into the fault signals. The simulation results showed that the proposed algorithm achieves over 98% accuracy in fault classification. Moreover, we developed a testbed system including a TI's DSP (digital signal processor) to implement and verify the functionality of the proposed algorithm.

Range Stabbing Technique for Continuous Queries on RFID Streaming Data) (RFID 스트리밍 데이타의 연속질의를 위한 영역 스태빙 기법)

  • Park, Jae-Kwan;Hong, Bong-Hee;Lee, Ki-Han
    • Journal of KIISE:Databases
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    • v.36 no.2
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    • pp.112-122
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    • 2009
  • The EPCglobal leading the development in RFID standards proposed Event Cycle Specification (ECSpec) and Event Cycle Reports (ECReports) for the standard about RFID middleware interface. ECSpec is a specification for filtering and collecting RFID tag data and is treated as a Continuous Query (CQ) processed during fixed time intervals repeatedly. ECReport is a specification for describing the results after ECSpec is processed. Thus, it is efficient to apply Query Indexing technique designed for the continuous query processing. This query index processes ECSpecs as data and tag events as queries for efficiency. In logistics environment, the similar or same products are transferred together. Also, when RFID tags attached to the products are acquired, the acquisition events occur massively for the short period. For these properties, it is inefficient to process the massive events one by one. In this paper, we propose a technique reducing similar search process by considering tag events which are collected by the report period in ECSpec, as a range query. For this group processing, we suggest a queuing method for collecting tag events efficiently and a structure for generating range queries in the queues. The experiments show that performance is enhanced by the proposed methods.

A Study on the Distribution and Changes of Sand Dune at the Lower Reach of Duman River, North Korea (두만강 하류 사구의 분포와 변화에 관한 연구)

  • Lee Min-Boo;Kim Nam-Shin;Lee Gwang-Ryul;Han Uk;Jin, Shizhu
    • Journal of the Korean Geographical Society
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    • v.41 no.3 s.114
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    • pp.331-345
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    • 2006
  • This study deals with geomorphological process of the sand dune landform including the distribution and surface environments, characteristics of sediments, origins and moving processes in lower reach and mouth delta of Duman River, Northeast Korea and China. The methodology of the study includes image analysis of Landsat TM(1992.10) and ETM(2000.9) and Spot(2005.4) for analysis of land cover, 2 times field survey for recognition of landform and acquisition of sediments raw data materials, and grain analysis and exoscopy about raw data materials. The geomorphic elements from satellite image analysis are composed of the delta, sand spit, active and stable dune, sand bar and riparian vegetated zone. Results of the grain analysis indicate the sediments originated from marine coastal zone than riverine one. This means that present sand dune not so much reflect present climatic and geomorphic environments. Result of the exoscopy analysis show that ratio of quartz, which is comparatively resistant to environment, is highest as $65{\sim}83%$ out of sediments. But the surface of the $30{\sim}40%$ of mineral grains was coated by yellow-colored stained materials, due to chemical weathering. Some grains show rough skin, looking as acicular, network structure and etching pits, affected by physical and chemical weathering.

The Job Satisfaction and Self-assessment of Public Health Nutritionists (보건 영양사의 직무만족도 및 자기진단평가)

  • 박혜련;권지영
    • Korean Journal of Community Nutrition
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    • v.4 no.1
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    • pp.83-94
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    • 1999
  • This study was carried out to investigate the general characteristics of public health nutritionists, the current status of nutrition services operation, the recognition about nutrition services of public health center related man power, the job satisfaction and self-assessment and the need for a retraining course of public health nutritionists. The subjects were 58 public health nutritionists who responded to the questionnaire distributed at the annual retraining program in 1998. The results of this study are summarized as follows. 1) 46.5% of the nutritionists were 26-30 years old, 62.1% were 4 year university graduates 74.1% were food and nutrition majors and 51.7% were daily workers. 2) Among the public health center-related manpower, the recognition about nutrition services was the highest for the manager of family health section, followed by the head of public health centers, and then the general nurse in public health centers. 3) The ranking of the reasons for job satisfaction of the public health nutritionists was, relationship with colleagues(3.84), inhabitants response after nutrition counselling(3.53), specialized value realization/conviction about duty(3.35), contents of the work(3.10), value achievement(3.08), self achievement/development(3.00), self discretion(2.92), participation in policy decisions(2.90), work load(2.75), chance of retraining and acquisition of new information(2.73), working environment(2.69), supervisio $n^port by superiors(2.67), salary(2.38), supply of necessary education material, technique(2.37), and budget security(2.22). 4) The satisfaction of the inhabitant's responses after nutrition counseling was the highest among the 4 year university graduates(p<0.05), the satisfaction of the specialized value realization/conviction about duty was the highest among the nutritionists 26-30 years old(p<0.05). Food and nutrition majors(p<0.05) and those having worked less than 3-5years at public health centers also showed much satisfaction(p<0.05). Satisfaction with the salary was the lowest among the food and nutrition majors(p<0.01) and daily workers(p<0.001). The satisfaction with the participation in policy decisions was the lowest among the daily workers(p<0.01). 5) The ranking for the level of self-assessment were, nutrition and dietetic practice(2.92), communication(2.80), management(2.77), public health science and practice(2.66)(p<0.01). The general characteristics such as the level of education, major, employment condition, current public health center's tenure, and charge experience of the nutrition guidance work were not significantly related to self-assessment except the management part(p<0.05). The higher the satisfaction of specialized value realization/conviction about the duty, the better the total score on the self-assessment(p<0.05)..

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Development of the Weather Detection Algorithm using CCTV Images and Temperature, Humidity (CCTV 영상과 온·습도 정보를 이용한 기후검출 알고리즘 개발)

  • Park, Beung-Raul;Lim, Jong-Tea
    • Journal of Korea Multimedia Society
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    • v.10 no.2
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    • pp.209-217
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    • 2007
  • This paper proposed to a detection scheme of weather information that is a part of CCTV Images Weather Detection System using CCTV images and Temperature, Humidity. The previous Partial Weather Detection System uses how to acquire weather information using images on the Road. In the system the contrast and RGB Values using clear images are gained. This information is distributed a input images to cloud, rain, snow and fog images. That is, this information is compared the snow and the fog images for acquisition more correctness information us ing difference images and binary images. Currently, We use to environment sense system, but we suggest a new Weather Detection Algorithm to detect weather information using CCTV images. Our algorithm is designed simply and systematically to detect and separate special characteristics of images from CCTV images. and using temperature & humidity in formation. This algorithm, there is more complex to implement than how to use DB with high overhead of time and space in the previous system. But our algorithm can be implement with low cost' and can be use the system in real work right away. Also, our algorithm can detect the exact information of weather with adding in formation including temperature, humidity, date, and time. At last, this paper s how the usefulness of our algorithm.

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The Improvement of Point Cloud Data Processing Program For Efficient Earthwork BIM Design (토공 BIM 설계 효율화를 위한 포인트 클라우드 데이터 처리 프로그램 개선에 관한 연구)

  • Kim, Heeyeon;Kim, Jeonghwan;Seo, Jongwon;Shim, Ho
    • Korean Journal of Construction Engineering and Management
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    • v.21 no.5
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    • pp.55-63
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    • 2020
  • Earthwork automation has emerged as a promising technology in the construction industry, and the application of earthwork automation technology is starting from the acquisition and processing of point cloud data of the site. Point cloud data has more than a million data due to vast extent of the construction site, and the processing time of the original point cloud data is critical because it takes tens or hundreds of hours to generate a Digital Terrain Model (DTM), and enhancement of the processing time can largely impact on the efficiency of the modeling. Currently, a benchmark program (BP) is actively used for the purpose of both point cloud data processing and BIM design as an integrated program in Korea, however, there are some aspects to be modified and refined. This study modified the BP, and developed an updated program by adopting a compile-based development environment, newly designed UI/UX, and OpenGL while maintaining existing PCD processing functions, and expended compatibility of the PCD file formats. We conducted a comparative test in terms of loading speed with different number of point cloud data, and the results showed that 92 to 99% performance increase was found in the developed program. This program can be used as a foundation for the development of a program that reduces the gap between design and construction by integrating PCD and earthwork BIM functions in the future.

Is the linguistic competence innate or constructive? - on the debate between J. Piaget and N. Chomsky - (언어 능력, 생득적인 것인가 구성적인 것인가? - 언어 능력에 대한 촘스키와 피아제의 논쟁을 중심으로-)

  • Moun, Jean-sou
    • Journal of Korean Philosophical Society
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    • v.126
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    • pp.79-108
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    • 2013
  • Is the development of linguistic competence due to the learning process or the maturational process? According to Piaget, its development is a genuine learning process involving authentic constructions with gradual disclosure of new possibilities. But According to Chomsky, the acquisition of linguistic competence is due to a genetically conditioned maturational process. So it merely involves the actualization of a set of possibilities existing from the beginning Consequently, Piaget supposes that interaction with the environment plays a shaping role, while Chomsky allows it to have a mere triggering role. In broad respective, Chomsky supposes the rationalism that knowledge is largely inborn, while Piaget in the constructivist position which strives to find a middle course between radical rationalism and radical empiricism. In the one hand, an ultra-rationalistic concept such as 'fixed nucleus' supposed by Chomsky is, in my eye, nor plausible. In the other hand, if Piagetian constructivism is to be sustained, it must be sustained independently of its dubious biological fundament, and merely as a developmental psychological theory. In one word, we need to synthesize Piagetian cognitive approach and Chomskian syntactical, in order to explain exactly the source of human linguistic competence.

A Study on Development of Independent Low Power IoT Sensor Module for Zero Energy Buildings (제로 에너지 건축물을 위한 자립형 저전력 IoT 센서 모듈 개발에 대한 연구)

  • Kang, Ja-Yoon;Cho, Young-Chan;Kim, Hee-Jun
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.12 no.3
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    • pp.273-281
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    • 2019
  • The energy consumed by buildings among the total national energy consumption is more than 10% of the total. For this reason, Korea has adopted the zero energy building policy since 2025, and research on the energy saving technology of buildings has been demanded. Analysis of buildings' energy consumption patterns shows that lighting, heating and cooling energy account for more than 60% of total energy consumption, which is directly related to solar power acquisition and window opening and closing operation. In this paper, we have developed a low - power IoT sensor module for window system to transfer acquired information to building energy management system. This module transmits the external environment and window opening / closing status information to the building energy management system in real time, and constructs the network to actively take energy saving measures. The power used in the module is designed as an independent power source using solar power among the harvest energy. The topology of the power supply is a Buck converter, which is charged at 4V to the lithium ion battery through MPPT control, and the efficiency is about 85.87%. Communication is configured to be able to transmit in real time by applying WiFi. In order to reduce the power consumption of the module, we analyzed the hardware and software aspects and implemented a low power IoT sensor module.