• 제목/요약/키워드: indicator function

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Selection of Biodiversity Indicators for a National Assessment in Korea (국내 생물다양성 평가를 위한 지표 선정)

  • Inyoung Jang;Sung-Ryong Kang
    • Korean Journal of Ecology and Environment
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    • v.56 no.4
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    • pp.393-405
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    • 2023
  • This study was conducted to select indicators for assessing national biodiversity. For this purpose, 140 biodiversity-related indicators were identified as a result of inventorying biodiversity-related indicators used in Korea and abroad, and when these indicators were applied to the pressure, status, and response indicator system, it was found that status indicators accounted for the largest number of indicators, with 29 pressure, 59 status, and 44 response. We also categorized the status indicators into genes, species, habitat, function, and quality, and found that species and habitat indicators accounted for the majority. Pressure indicators were categorized into direct exploitation, pollution, alien species, climate change, and habitat change. As a result, it was found that direct exploitation and pollution accounted for most of the pressure indicators. In addition, this study used internationally used indicator selection criteria to establish criteria for selecting domestic biodiversity assessment indicators. Using this list of indicators and indicator selection criteria, we evaluated the prioritization of domestically applicable biodiversity indicators through relevant expert consultations. 1) Vegetation class, 2) Land cover indicators, and 3) Change of protected area ranked highly. In fact, these indicators have been used in many studies due to the availability of assessable data. However, most of the highly scored indicators are based on ecosystem area, and further consideration of ecosystem functions and components(species) is needed.

Influence of Loss Function on Determination of Optimal Thickness of Consolidating Layer for Songdo New City (손실함수가 송도신도시의 최적 압밀층 두께 결정에 미치는 영향)

  • Kim, Dong-Hee;Ryu, Dong-Woo;Chae, Young-Ho;Park, Jung-Kyu;Lee, Woo-Jin
    • Journal of the Korean Geotechnical Society
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    • v.27 no.8
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    • pp.51-61
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    • 2011
  • Spatial estimation of the thickness and depth of the geological profile has been regarded as an important procedure for the design of soft ground. A minimum variance criterion, which has often been used in traditional kriging techniques, does not always guarantee the optima1 estimates for the decision-making process in geotechnical engineering. In this study, a geostatistica; framework is used to determine the optimal thickness of the consolidation layer and the optimal area that needs the adoption of prefabricated vertical drains via indicator kriging and loss function. From the exemplary problem, different optimal estimates can be obtained depending on the loss function chosen. The design procedure and method considering the minimum expected loss presented in this paper can be used in the decision-making process for geotechnical engineering design.

Design and Implementation of a Up Down Converter for Asynchronous IMT-2000 Base Station (비동기식 IMT-2000 기지국용 Up Down Converter 설계 및 제작)

  • 손병일;전석찬;방성일
    • Proceedings of the IEEK Conference
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    • 2000.06a
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    • pp.61-64
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    • 2000
  • In this paper, we design up-down converter for asynchronous IMT-2000 base station using W-CDMA(Wideband Code Division Multiple Access) technology. This up-down converter(UDC) has AGC (Automatic Gain Control), TPTL(Transmitting Power Tracing Loop), RSSI(Received Signal Strength Indicator) function. And for the cell control of BS(Base Station), breathing, blossoming, wilting function also available. This UDC has diversity structure for better performance.

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An Evaluation of Natural-Ecological Function for Planning and Management on Forest (산림녹지의 계획 및 관리를 위한 자연생태적 기능 평가)

  • Lee, Woo-Sung
    • Journal of the Korean Institute of Landscape Architecture
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    • v.39 no.5
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    • pp.1-11
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    • 2011
  • Many studies which assessed the function of forest are focused on usage of citizen, but studies which focused on natural-ecological function still lack. Hence, the purpose of this study is to select and apply the evaluation indicators on natural-ecological function of forest as a base research for sustainable planing and management. First, the 35 indicators were selected by the review of the internal and external 56 literature. The 12 indicators among those were reselected as natural-ecological indicator by the first survey and 7 indicators such as green area, connectivity etc. were determined through MCB analysis by the second survey. Also, the weights of 7 indicators for the functional evaluation were computed using AHP analysis by the third survey. As aresult of AHP analysis, the naturality was showed the highest indicator by 0.189, while the NDVI was evaluated the lowest indicator by 0.063. According to the result of evaluating the natural-ecological function on forest in Daegu which was selected as suitable study area, the natural-ecological functions around the Mt. Ap and Mt. Chengryong, top of Mt. Biseul had more than 85 scores, so those were assessed as an excellent area. On the other hand, the functions around the western area of Mt. Waryong and Mt. Macheon, the Mt. Daeni of Dalseong-Gun had less than 50 scores, which means that the area had to be controled by sustainable management. Therefore, we will be able to utilize the basic data for the preservation and management at urban and environmental planning through the results of this study.

RFID System with Localization Function Based on Zigbee RSSI (Zigbee RSSI 기반의 위치추정 기능을 탑재한 RFID 시스템)

  • Kim, Tae-Yun;Hwang, Suk-Seung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.12
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    • pp.1201-1208
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    • 2016
  • Radio Frequency Identification (RFID) technology has a significant attraction throughout various industry sites, along with the development of wireless communication technologies. The typical applications of RFID include medical, logistics, and distribution, and, specially, it is effectively applied to non-contact environments, because it employs radio waves. Although, recently, construction cases of the RFID management systems for the inventory management of the construction materials have been increased, the related researches and experiments for the reused materials are not actively performed. In this paper, we propose the RFID system with the localization function for effectively managing the reuse of the construction materials, adding to the conventional inventory management system. The proposed system consists of a RFID reader unit and a receiver unit, and the location information of the material with the attached RFID tag is obtained by estimating the position of a RFID reader. The distance value for estimating the reader position is calculated using the Received Signal Strength Indicator (RSSI) value of Zigbee, and the performance evaluation of the proposed system is performed in the indoor space of $5m{\times}5m$.

A Study for the Improvement of the Fault Decision Capability of FRTU using Discrete Wavelet Transform and Neural Network (이산 웨이블릿 변환과 신경회로망을 이용한 FRTU의 고장판단 능력 개선에 관한 연구)

  • Hong, Dae-Seung;Ko, Yoon-Seok;Kang, Tae-Ku;Park, Hak-Yeol;Yim, Hwa-Young
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.7
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    • pp.1183-1190
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    • 2007
  • This paper proposes the improved fault decision algorithm using DWT(Discrete Wavelet Transform) and ANNs for the FRTU(Feeder Remote Terminal Unit) on the feeder in the power distribution system. Generally, the FRTU has the fault decision scheme detecting the phase fault, the ground fault. Especially FRTU has the function for 2000ms. This function doesn't operate FI(Fault Indicator) for the Inrush current generated in switching time. But it has a defect making it impossible for the FI to be operated from the real fault current in inrush restraint time. In such a case, we can not find the fault zone from FI information. Accordingly, the improved fault recognition algorithm is needed to solve this problem. The DWT analysis gives the frequency and time-scale information. The neural network system as a fault recognition was trained to distinguish the inrush current from the fault status by a gradient descent method. In this paper, fault recognition algorithm is improved by using voltage monitoring system, DWT and neural network. All of the data were measured in actual 22.9kV power distribution system.

The Experimental Study on the Progress of Concrete Carbonation According to the Service Life (콘크리트의 사용연한에 따른 중성화의 진행에 관한 실험적 연구)

  • Lee, Joon-Gu;Park, Kwang-Soo;Shin, Su-Gyun;Kim, Kwan-Ho;Park, Mi-Hyun
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2001.10a
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    • pp.123-128
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    • 2001
  • This study was performed to find out variation of carbonation progress of agricultural hydraulic concrete structures along the used years with using Thermo Gravimetric analysis/Differential Thermal Analysis(TG/DTA) and Indicator(phenolphthalein). In this study some conclusions such as follows were derived. Firstly, The result that the age of structures and the content of $Ca(OH)_{2}\;and\;CaCO_{3}$ in concrete have proportional relationships was found in the method of TG/DTA. This relational functions could be used to estimate remain lifetime of structures, obtaining the limits of the content of $CaCO_{3}$ in concrete which reinforcement corrosion could be occurred with breaking protection cover of alkalinity. Second, if the result of strength, voids, permeability characteristics could be combined with this relational function this may be able to be used as a new more accurate assessment technique for the quality of concrete than current usual methods. Third, environmental affect could be more superintendent for concrete carbonation than the age of agricultural hydration structures. Forth, It is difficult to estimate the used year of agricultural hydraulic concrete structures with the carbonation depth measured by indicator method. Finally, the accuracy of this relational function could be decided to be upgraded with continue analysis for more structures.

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Identification of Pharmaceuticals for process control using Near Infrared Spectroscopy and Soft Independence modeling of Class Analogy (SIMCA)

  • Cho, Chang-Hee;Kim, Hyo-Jin;Maeng, Dae-Young;Seo, Sang-Hun;Cho, Jung-Hwan
    • Near Infrared Analysis
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    • v.1 no.2
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    • pp.29-33
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    • 2000
  • The identification step of raw drug materials is an indispensible procedure in the GMP manufacturing process within the pharmaceutical industry. However, wet chemistry methods for identification of drug materials, used by the various Pharmacopeia are time-consuming and expensive steps. In this paper, near-infrared spectroscopy (NIRS) has been developed for identifying eleven drug substances including calcium pantothenate, cefaclor, cefoperazone, cephradine, dextromethorphan, ehtambutol, nicotinamide, pyrozinamide, tramadol, vitamin C, and vitamin E. Also the aim of ths work is to consturct a new algorithm for calibration model using soft independence modeling of class analogy (SIMCA) with Malinowskis Indicator Function (IND), which is used for finding the number of principal components of each class of the SIMACA model. The use of NIR technique with pattern recognition to qualify raw materials can make it possible to monitor process in real time as well as to control all procedures in the pharmaceutical industry. As the result, the samples identified of 183 different batches from 11 different compounds were separated clearly by SIMCA with 2nd derivative spectra in the NIR region of 1100∼2400 nm.

Customer Satisfaction Measurement Model Based on QFD

  • Liu, Yumin;Xu, Jichao
    • International Journal of Quality Innovation
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    • v.4 no.2
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    • pp.101-122
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    • 2003
  • With the development of the American Customer satisfaction index (ACSI), research on customer satisfaction measurement or evaluation methods have become significant in the last decade. Most of international customer satisfaction barometers or indices are evolved based on the cause and effect relationship model of ACSI. Of critical importance to validity of customer satisfaction indices is how to construct a measurement attribute or indicator model and provide an effective implementation method effectively. Quality Function Deployment (QFD) is a very useful tool for translating the customer voice into product design through quality engineering. In fact, this is a methodology for measuring and analyzing evaluation indicators by their relationship matrix. In this paper, we will make an effort to integrate the framework of QFD into the measurement problem of customer satisfaction, and also develop a new multi-phase QFD model for evaluation of Customer Satisfaction Index (CSI). From the houses of quality in this model, the evaluation indicators impacting on customer's global satisfaction are identified by means of their relationship matrix. Then the evaluation indicator hierarchy and its measurement method for the customer satisfaction index are presented graphically. Furthermore, survey data from the Chinese automobile maintenance sector and a relevant case study are utilized to show the implementation method of the QFD model used to measure and analyze of customer satisfaction.

Price Response Function with Price-Dependent Quality Evaluation at Segment Level (가격을 품질의 지표로 사용하는 세분시장의 가격반응함수 추출)

  • Kwak, Young-Sik;Lee, Yun-Kyung;Nam, Yong-Sik
    • Journal of Global Scholars of Marketing Science
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    • v.16 no.2
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    • pp.77-94
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    • 2006
  • The purpose of this study was to identify the consumers who use the level of price as the indicator of the product quality and calibrate the price response function with price-dependent quality evaluation. In order to implement the purpose of this study, Home theater market in China had been segmented by the mixture regression model, and price response function was calibrated at segment level. Based on the types of price response function, segments were allocated into one of two groups; the group using the level of price as the quality indicator or the group not using the level of price as that. Then, characteristics of both groups were compared in terms of product attributes and demographic variables.

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