• Title/Summary/Keyword: Weighting value

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Rake Receiver Based on Bit Error Rate of Training Sequence Duration for Underwater Acoustic Communication (수중음향통신을 위한 훈련 신호 구간의 비트 오차율에 기반한 레이크 수신기)

  • Son, Ji-hong;Kim, Ki-man
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.5
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    • pp.887-894
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    • 2016
  • In the underwater acoustic communication channels, a multipath reflection becomes the cause of obstacle. To solve this problem, a rake receiver has been required for which one could take the time diversity. However, there is a concern about using incorrect path to recover signals with a high weighting value as underwater acoustic communication channels have severe time-variant property. In order to prevent these problem, a rake receiver is proposed which is based on BER(bit error rate) train sequence duration. The performance is evaluated through lake trials; there are three methods that are a proposed rake receiver, a conventional rake receiver, and a non-rake receiver. As a result, the number of bit errors in the proposed rake receiver, that of bit errors in the conventional rake receiver, and that of bit errors in the non-rake receiver is 8, 45, and 72, respectively.

Effect of Enzyme Treatment on Silage Quality : Meta-analysis

  • Cho, Sangbuem;Yeom, Sanghoon;Kim, Namhyung;Li, Dohyeong;Lee, Jaehoon;Lee, Sang Moo;Lee, Ji Hong;Shin, Su-Jin;Kim, Mi-So;Choi, Nag-Jin
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.36 no.3
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    • pp.248-256
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    • 2016
  • The present study investigated the effect of enzyme inclusion on silage quality using meta-analysis tool. A total of 16 research papers reporting the effect of enzyme application on silage quality were employed in the meta-analysis of this study. Mixed model for integrating quantitative results from multiple studies was used first to calculate the predicted error of each study. Individual error from the estimated model was the applied into standard deviation of each study to calculate the mean difference. Finally, summary effect was determined using standard mean difference (SMD) and inversed variance weighting. Mixed model analysis and SMD analysis showed the same effect patterns in all analysis items. Enzyme inclusion in silage significantly (p < 0.05) altered all silage quality characteristics investigated compared to control when enzyme was not included. Our results showed that enzyme treatment increased dry matter content, preserved crude protein effectively, and elevated water soluble carbohydrate content. However, the pH value, acetic acid, propionic acid, neutral detergent fiber, and acid detergent fiber contents in silage with enzyme inclusion were lower than those of the control.

Automatic Extraction of Major Object in the Image based on Image Composition (영상구도에 근거한 영상내의 주요객체 자동추출 기법)

  • Kang, Seon-Do;Yoo, Hun-Woo;Shin, Young-Geun;Jang, Dong-Sik
    • The Journal of the Korea Contents Association
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    • v.8 no.3
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    • pp.8-17
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    • 2008
  • A new algorithm for automatic extraction of interesting objects is proposed in this paper. The proposed algorithm can be summarized in two steps. First, segmentation of color image that split interesting objects and backgrounds is performed. According to the research stating, 'Humans perceive things by contracting color into three to four essential colors,' a color image is segmented into three regions utilizing k-mean algorithm, followed by annexing the regions when the similarities of them exceeds the critical value based on the calculation of degrees in the histogram similarity, Second, identifying the interesting objects out of the segmented image, partitioned by the image composition theory, is performed. To have a good picture, it is important to adjust positions of interesting objects according to picture composition. Extracting objects is a retro-deduction process using a weighted mask designed upon the triangular composition of picture. To prove the quality of the proposed method, experiments are performed over four hundreds images as well as comparison with recently proposed KMCC and GBIS methods.

Simple Robust Digital Position Control Algorithm of BLDD Motor using Neural Network with State Feedback (상태궤환과 신경망을 이용한 BLDD Motor의 간단한 강인 위치 제어 알고리즘)

  • 고종선;안태천
    • The Transactions of the Korean Institute of Power Electronics
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    • v.3 no.3
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    • pp.214-221
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    • 1998
  • A new control approach using neural network for the robust position control of a BRUSHLESS direct drive(BLDD) motor is presented. The linear quadratic controller plus feedforward neural network is employed to obtain the robust BLDD motor system approximately linearized using field-orientation method for an AC servo. The neural network is trained in on-line phases and this neural network is composed by a feedforward recall and error back-propagation training. Since the total number of nodes are only eight, this system will be easily realized by the general microprocessor. During the normal operation, the input-output response is sampled and the weighting value is trained by error back-propagation at each sample period to accommodate the possible variations in the parameters or load torque. And the state space analysis is performed to obtain the state feedback gains systematically. In addition, the robustness is also obtained without affecting overall system response.

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Parameteric Assessment of Water Use Vulnerability of South Korea using SWAT model and TOPSIS (SWAT 모형과 TOPSIS 기법을 이용한 우리나라 물이용 취약성 평가)

  • Won, Kwyang Jai;Sung, Jang Hyun;Chung, Eun-Sung
    • Journal of Korea Water Resources Association
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    • v.48 no.8
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    • pp.647-657
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    • 2015
  • This study assessed the water use vulnerability for 12 basins of South Korea. The annual runoff of 12 basins are derived using a Soil and Water Assessment Tool (SWAT) and the calculated runoff per unit area and population are compared with each basin. The 18 indicators are selected in order to assess the vulnerability. Those are classified by aspects of demand, loss and supply of water use. Their weighting values used Entropy method to determine objective weights. To quantitatively assess the water use vulnerability, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) based on multi-criteria decision making are applied. The results show that the water availability vulnerability of Hyeongsan River has the highest value followed by Sapgyo River; Dongjin River; Seomjin River; Anseong River; Mangyung River; Nakdong River; Tamjin River; Youngsan River, Geum River; Taehwa River; and Han River. The result of this study has a capability to provide references for the index deveopment of climate change vulnerability assessment.

A Study on Forecasting Model based Weighted Moving Average for Cable TV Advertising Market (가중이동평균법을 이용한 케이블TV 광고시장에 대한 예측모형 개발)

  • Cho, Jae Hyung;Kim, Ho Young
    • The Journal of Information Systems
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    • v.25 no.2
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    • pp.153-171
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    • 2016
  • Purpose This study suggests the development of forecasting model for local cable TV advertisement. In order to verify the expected effect of the suggestion, using the causal loop map of System Dynamics, the factors affecting the prospects of cable TV commercial market were divided into 5 groups. Then targeting 97 people involved in the cable TV commercial market in Busan, Ulsan, and Gyeongnam, a survey was conducted on their perception of the current status of local advertisement market and future prospect. Design/methodology/approach The analysis of the collected data shows that workers in advertising and advertisers perceive the influence of cable TV as an advertising media to be high, while clearly understanding the problems of cable TV commercial market. Based on this the effects on the prospects of cable TV commercial market were analyzed and a forecasting method called Weighted Moving Average was applied. In order to improve accuracy of the added value of Weighted Moving Average, the 5 factors were divided into qualitative factors and quantitative factors, and using Multi-attribute Decision Making method, all the factors were normalized and weighting factors were deduced. The result of simulating the prospects of cable TV commercial market using Weighted Moving Average, both qualitative and quantitative factors showed downward turn in the market prospect for the following 10 years. Findings The result reflects generally negative perception of advertisement viewers about the prospects of cable TV commercial market. Compared to the previous studies on domestic cable TV commercials that focused on policy suggestions and surveys on perception of current status, this study has its significance in that it used scientific method and simulation for verification.

A Robust Blind Watermarking for Digital Image Using DWT According to its Resolution (해상도에 따른 DWT 기반 디지털 영상의 강인성 블라인드 워터마킹)

  • Lee, Yongseok;Seo, Youngho;Kim, Dongwook
    • Journal of Broadcast Engineering
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    • v.20 no.6
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    • pp.888-900
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    • 2015
  • This paper proposes a blind watermarking scheme using DWT satisfying robustness, invisibility, and security to protect the ownership of digital image contents. This scheme does not determine any watermarking position by local image information. It rather inserts the watermark information into all the four lowest frequency subbands after transforming the host image by n-level 2-dimensional DWT, depending on, the sizes of the host image and the watermark data. Its watermark insertion methodology uses some weighting factors according to the kind of the subband and its energy level to adjust the invisibility and the robustness of the watermark. This method is experimented for various pixel-value change attacks and geometric attacks with various images having different resolutions and aspect ratios. With the experimental results and by comparing with existing methods, we show that the proposed method has a great deal of general usage with good watermark invisibility and good robustness against attacks.

Assessment of the Best Available Technology to Establish the Industrial Wastewater Effluent Limitations Guidelines (처리기술 수준에 근거한 배출허용기준 설정을 위한 BAT 도입 연구)

  • Lim, Byung-Jin;Kwon, O-Sang;Kim, Young-Noh
    • Korean Journal of Ecology and Environment
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    • v.38 no.3 s.113
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    • pp.281-288
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    • 2005
  • BAT (Best Available Technology economically achievable) assessment is indispensible to effective management policy of industrial wastewater discharging facilities such as setting effluent limitations guidelines for individual industry based on the wastewater characteristics and treatment efficiency, making effluent limitations guidelines for new sources, and calculation of the reducible amount of emission load conforming to a total emission general plan and enforcement plan. This study reviewed foreign cases of BAT assessment and condition of domestic wastewater discharging facilities, and suggested BAT assessment guideline suitable for the domestic conditions. The major assessment factors and flow are; (1) Identification of pollution source characteristics, (2) Identification and survey on technology, (3) Selection of candidate technology, (4) Assessment of legislation adaptation, (5) Assessment of environmental factor, (6) Assessment of economical acceptability, (7) Total weighting value factor assessment on technological factor, and (8) Total assessment and final BAT selection. The result of this study can be utilized as a major policy data and a base of industrial wastewater management system.

Development of Transportation Indicators for Green Growth Based on a Questionnaire Survey for Transportation Experts (녹색성장 교통부문 지표개발 교통 전문가 설문조사결과 분석)

  • Kim, Hyeon-Myeong;Jo, Jong-Seok;Choe, Jeong-Min;Gang, Hui-Jeong
    • Journal of Korean Society of Transportation
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    • v.28 no.4
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    • pp.41-59
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    • 2010
  • In this study, the indicators for evaluating the level of green growth in transportation are proposed. The authors reviewed the existing philosophies such as sustainable development and eco-efficiency and explained the differences between the philosophies and green growth. The planning hierarchy and indicator framework are proposed and the idea of indicators is also introduced. In order to decide the weighting value for objectives and targets, a questionnaire survey for transportation experts was conducted. The survey results show that low-carbon/environmentally-friendly development is the most important objective. In addition, the results reveal that transportation experts do not fully understand the concept of green growth and cannot differentiate the concept of green growth from that of sustainable development and eco-efficiency.

Multi-Criteria ABC Inventory Classification Using the Cross-Efficiency Method in DEA (DEA의 교차효율성을 활용한 다기준 ABC 재고 분류 방법 연구)

  • Park, Jae-Hun;Bae, Hye-Rim;Lim, Sung-Mook
    • Journal of Korean Institute of Industrial Engineers
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    • v.37 no.4
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    • pp.358-366
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    • 2011
  • Multi-criteria ABC inventory classification, which aims to classify inventory items by considering more than one criterion, is one of the most widely employed techniques for inventory control. The weighted linear optimization (WLO) model proposed by Ramanathan (2006) solves the problem of multi-criteria ABC inventory classification by generating a set of criterion weights for each inventory item and assigning a normalized score to the item for ABC analysis. However, the WLO model has some limitations. First, many inventory items can share the same optimal score, which can hinder a precise classification of inventory items. Second, the model allows too much flexibility in weighting multiple criteria; each item is allowed to choose its own weights so that it can maximize its score. As a result, if an item dominates the others in terms of a certain criterion, it may be classified into a higher class regardless of other criteria by assigning an overwhelming weight to the criterion. Consequently, an item with a high value in an unimportant criterion and low values in others may be inappropriately classified as class A, leading to an inaccurate classification of inventory items. To overcome these shortcomings, we extend the WLO model by using the cross-efficiency method in data envelopment analysis. We claim that the proposed model can provide a more reasonable and accurate classification of inventory items by mitigating the adverse effect of flexibility in the choice of weights and yielding a unique ordering of inventory items.