• Title/Summary/Keyword: Weighting value

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The Effects of Electro-Acupuncture the Rat with Induced MCAO

  • Choi, Jung-Hyun;Kim, Ji-Sung;Kim, Dong-Il;Kim, Bo-Kyoung;Kim, Soon-Hee;Song, Chi-Won
    • The Journal of Korean Medicine
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    • v.30 no.3
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    • pp.70-78
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    • 2009
  • Objectives : This study was aimed at examining the effects of the application of EA (electroacupuncture) at GV20 and LI4 in the early cerebral ischemia on the size of cerebral infarction, COX-2 and IL-6. Methods : For this experiment, 21, six-week-old male S-D (Sprague - Dawley) rats weighting 160g to 200g were selected and randomly classified into 3 groups, seven rats in each group. Brain ischemia was simulated using a modified Koizumi method which was performed on each rat. In the GV20 group, the GV20 of the SD rats was stimulated for thirty minutes with acupunctural electrode low frequency stimulator five hours after inducement of ischemia. For the LI4 group, the LI4 was stimulated as above, while for the Ischemia group, no stimulation was applied. Twenty-four hours after the experiment, stained cerebral tissues were examined and an immuno-histological test was done to examine inflammatory reaction Results : Out of the three groups, the LI4 group showed the smallest size of cerebral infarction and the Ischemia group showed the highest COX-2 (cyclooxygenase-2) expression value in the cortex of the cerebrum. In addition, the LI4 group showed the lowest COX-2 expression value in unknown putamen out of the three groups. Conclusions : We infer that EA, applied at LI4 and GV20 in early ischemia, is effective in delaying the expression of IL-6 (interleukin-6) and COX-2, the inflammatory agents manifested from stroke. In addition, application at LI4, rather than GV20, can lower the expression value of the inflammatory agents. Further, EA can be an effective way to block early inflammatory reaction in stroke.

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A Design of HPPS(Hybrid Preference Prediction System) for Customer-Tailored Service (고객 맞춤 서비스를 위한 HPPS(Hybrid Preference Prediction System) 설계)

  • Jeong, Eun-Hee;Lee, Byung-Kwan
    • Journal of Korea Multimedia Society
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    • v.14 no.11
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    • pp.1467-1477
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    • 2011
  • This paper proposes a HPPS(Hybrid Preference Prediction System) design using the analysis of user profile and of the similarity among users precisely to predict the preference for custom-tailored service. Contrary to the existing NBCFA(Neighborhood Based Collaborative Filtering Algorithm), this paper is designed using these following rules. First, if there is no neighbor's commodity rating value in a preference prediction formula, this formula uses the rating average value for a commodity. Second, this formula reflects the weighting value through the analysis of a user's characteristics. Finally, when the nearest neighbor is selected, we consider the similarity, the commodity rating, and the rating frequency. Therefore, the first and second preference prediction formula made HPPS improve the precision by 97.24%, and the nearest neighbor selection method made HPPS improve the precision by 75%, compared with the existing NBCFA.

A Study on the Assessment of the Contamination by Acid Mine Drainage in Abandoned Coal Mines (국내폐탄광의 산성폐수 오염도 평가에 관한 연구)

  • 최우진
    • Journal of Korea Soil Environment Society
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    • v.2 no.3
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    • pp.31-38
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    • 1997
  • Temporal and spatial comparisons of acid mine drainage contaminated waters are difficult because of the complex physico-chemical nature of the pollutant. In the present study, an acid mine drainage index has been developed and evaluated for the assessment of surface waters. AMD index is calculated using a modified arithmetic weighted index using seven parameters which are most indicative of AMD contamination, i. e. pH value, sulphate, iron, zinc, aluminum, copper and manganese. Weighting is used to express the relative indicator value of each parameter. The proposed AMD index is used to quantify contamination from acid mine drainage over ten different old mine sites and assess the degree of impact on surface on surface waters. As a result of AMD evaluation, the Sukbong Mine located near the Moonkyung province showed lowest AMD value indicating the worst acid mine drainage quality. In overall, Youngdong mine sites showed higher contaimination compared to the other mine sites including Youngsuh, Choongbu, Suhbu and Nambu area.

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PLL Equivalent Augmented System Incorporated with State Feedback Designed by LQR

  • Wanchana, Somsak;Benjanarasuth, Taworn;Komine, Noriyuki;Ngamwiwit, Jongkol
    • International Journal of Control, Automation, and Systems
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    • v.5 no.2
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    • pp.161-169
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    • 2007
  • The PLL equivalent augmented system incorporated with state feedback is proposed in this paper. The optimal value of filter time constant of loop filter in the phase-locked loop control system and the optimal state feedback gain designed by using linear quadratic regulator approach are derived. This approach allows the PLL control system to employ the large value of the phase-frequency gain $K_d$ and voltage control oscillator gain $K_o$. In designing, the structure of phase-locked loop control system will be rearranged to be a phase-locked loop equivalent augmented system by including the structure of loop filter into the process and by considering the voltage control oscillator as an additional integrator. The designed controller consisting of state feedback gain matrix K and integral gain $k_1$ is an optimal controller. The integral gain $k_1$ related to weighting matrices q and R will be an optimal value for assigning the filter time constant of loop filter. The experimental results in controlling the second-order lag pressure process using two types of loop filters show that the system response is fast without steady-state error, the output disturbance effect rejection is fast and the tracking to step changes is good.

A case study on the selection process of cutoff wall for ground-water using VE/LCC analysis (VE/LCC 기법을 활용한 차수공법 선정사례 연구)

  • Cho Yong-Wan;Chang Jun-Ho;Kim Jin-Man;Ha Jae-In
    • 기술발표회
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    • s.2006
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    • pp.279-291
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    • 2006
  • This study shows decision-making process for selection of cutoff wall on a wastewater treatment project. There are 10 different cut-off wall methods So, we examine the site to gather information for find appropriate methods. After using that information, 10 cutoff wall methods are reviewed for analysis. Through brainstorming, four alternatives are selected for design VE item. Following the standard VE process, we established performance criteria and evaluated function score(F) using questionnaire. The questionnaires, brainstorming and AHP method for weighting on performance criteria and evaluate function score increased the reliability of this selection process. Water Jet method, one of four methods, has the best function score(F=92.71) and the lease construction cost(as cost index 1,000). The value score also highest as 92.7, so we select the method. The result is value innovation type In addition, the authors try to calculate the environmental burden in selection process using LCA. We cannot conduct the full LCA as defined ISO, so perform Simple LCA In LCA result, the cut-off grouting has the least environmental burden as index 9.09E+01 and Water Jet method has following as the second. To selection best method to specific area and purpose, design VE/LCG process used as useful tool and it is needed to develop integrated method that evaluate VEILCC and LCA as one-set process.

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Adaptive User Profile for Information Retrieval from the Web

  • Srinil, Phaitoon;Pinngern, Ouen
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1986-1989
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    • 2003
  • This paper proposes the information retrieval improvement for the Web using the structure and hyperlinks of HTML documents along with user profile. The method bases on the rationale that terms appearing in different structure of documents may have different significance in identifying the documents. The method partitions the occurrence of terms in a document collection into six classes according to the tags in which particular terms occurred (such as Title, H1-H6 and Anchor). We use genetic algorithm to determine class importance values and expand user query. We also use this value in similarity computation and update user profile. Then a genetic algorithm is used again to select some terms from user profile to expand the original query. Lastly, the search engine uses the expanded query for searching and the results of the search engine are scored by similarity values between each result and the user profile. Vector space model is used and the weighting schemes of traditional information retrieval were extended to include class importance values. The tested results show that precision is up to 81.5%.

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Visual Semantic Based 3D Video Retrieval System Using HDFS

  • Ranjith Kumar, C.;Suguna, S.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.8
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    • pp.3806-3825
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    • 2016
  • This paper brings out a neoteric frame of reference for visual semantic based 3d video search and retrieval applications. Newfangled 3D retrieval application spotlight on shape analysis like object matching, classification and retrieval not only sticking up entirely with video retrieval. In this ambit, we delve into 3D-CBVR (Content Based Video Retrieval) concept for the first time. For this purpose we intent to hitch on BOVW and Mapreduce in 3D framework. Here, we tried to coalesce shape, color and texture for feature extraction. For this purpose, we have used combination of geometric & topological features for shape and 3D co-occurrence matrix for color and texture. After thriving extraction of local descriptors, TB-PCT (Threshold Based- Predictive Clustering Tree) algorithm is used to generate visual codebook. Further, matching is performed using soft weighting scheme with L2 distance function. As a final step, retrieved results are ranked according to the Index value and produce results .In order to handle prodigious amount of data and Efficacious retrieval, we have incorporated HDFS in our Intellection. Using 3D video dataset, we fiture the performance of our proposed system which can pan out that the proposed work gives meticulous result and also reduce the time intricacy.

Precision Position Control of PMSM Using Neural Network Disturbance observer and Parameter compensator (신경망 외란관측기와 파라미터 보상기를 이용한 PMSM의 정밀 위치제어)

  • 고종선;진달복;이태훈
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.53 no.3
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    • pp.188-195
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    • 2004
  • This paper presents neural load torque observer that is used to deadbeat load torque observer and gain compensation by parameter estimator As a result, the response of the PMSM(permanent magnet synchronous motor) follows that nominal plant. The load torque compensation method is composed of a neural deadbeat observer To reduce the noise effect, the post-filter implemented by MA(moving average) process, is adopted. The parameter compensator with RLSM (recursive least square method) parameter estimator is adopted to increase the performance of the load torque observer and main controller The parameter estimator is combined with a high performance neural load torque observer to resolve the problems. The neural network is trained in on-line phases and it is composed by a feed forward recall and error back-propagation training. During the normal operation, the input-output response is sampled and the weighting value is trained multi-times by error back-propagation method at each sample period to accommodate the possible variations in the parameters or load torque. As a result, the proposed control system has a robust and precise system against the load torque and the Parameter variation. A stability and usefulness are verified by computer simulation and experiment.

Edge Enhanced Error Diffusion Based on Local Average of Original Image

  • Kang, Tae-Ha;Lee, Tae-Seung;Park, Hyeong-Taek;Hwang, Byong-Won
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.612-615
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    • 2003
  • The error diffusion is a good method to reconstruct the continuous tones of an image to the bilevel tones However the reconstruction of edge characteristic by the nor diffusion is represented work when power spectrum is analyzed fer display error. In this paper, we present an edge enhanced error diffusion method to preprocess original image to achieve the enhancement for the edge characteristic. The preprocessing algorithm consist of two processes. First the difference value between the current pixel and the local average of the surrounding pixel in original image is obtained. Second, the weighting function is composed by the magnitude and the sign of the local average. To confirm the effect of the proposed method, it is compared with the conventional edge enhanced error diffusion methods by measuring the radially averaged power spectrum densities (RAPSDs) for their display errors. The comparison result demonstrate the superiority of the proposed method over the conventional ones.

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Shape Optimization of LMR Fuel Assembly Using Radial Basis Neural Network Technique (신경회로망 기법을 사용한 액체금속원자로 봉다발의 형상최적화)

  • Raza, Wasim;Kim, Kwang-Yong
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.31 no.8
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    • pp.663-671
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    • 2007
  • In this work, shape optimization of a wire-wrapped fuel assembly in a liquid metal reactor has been carried out by combining a three-dimensional Reynolds-averaged Navier-Stokes analysis with the radial basis neural network method, a well known surrogate modeling technique for optimization. Sequential Quadratic Programming is used to search the optimal point from the constructed surrogate. Two geometric design variables are selected for the optimization and design space is sampled using Latin Hypercube Sampling. The optimization problem has been defined as a maximization of the objective function, which is as a linear combination of heat transfer and friction loss related terms with a weighing factor. The objective function value is more sensitive to the ratio of the wire spacer diameter to the fuel rod diameter than to the ratio of the wire wrap pitch to the fuel rod diameter. The optimal values of the design variables are obtained by varying the weighting factor.