• Title/Summary/Keyword: Hand Technique

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Applications of Diffusion Tensor MRI to Predict Motor Recovery of Stroke Patients in the Chronic Stages

  • Tae, Ki-Sik;Song, Sung-Jae;Kim, Young-Ho
    • Journal of Biomedical Engineering Research
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    • v.29 no.2
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    • pp.114-121
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    • 2008
  • Within 2 to 5 months after stroke, patients recover variable degrees of function, depending on the initial deficit. An impaired hand function is one of the most serious disability in chronic stroke patients. Therefore, to evaluate the extent of motor dysfunction in the hemiplegic hand is important in stroke rehabilitation. In this paper, motor recoveries in 8 chronic stroke patients with Fugl-Meyer (FM) and white matter changes before and after the training program with a designed bilateral symmetrical arm trainer (BSAT) system were examined. The training was performed at 1 hr/day, 5 days/week during 6weeks. In all patients, FM was significantly improved after the 6-week training. Diffusion tensor imaging (DTI) results showed that tractional anisotropy ratio (FAR) and fiber tracking ratio (FTR) in the posterior internal capsule were significantly increased after the training. It seemed that the cortical reorganization was induced by the 6 week training with the BSAT. In all parameters proposed this study, a significant correlation was found between these parameters (FAR and FTR) and motor recoveries. This study demonstrated that DTI technique could be useful in predicting motor recovery in chronic hemiparetic patients.

A Study on the Control Method of Hand & Automatic Operation of On-Off Wiring of an Easy Elevator (간이 엘리베이터 수.자동 개폐배선 제어방식에 관한연구)

  • Wee, Sung-Dong;Gu, Hal-Bon;Kim, Tae-Sung
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2002.07b
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    • pp.1107-1112
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    • 2002
  • An easy elevator originated is an opened system to compare an existing equipment, and learning efficient is high as a wiring that the sequence control circuit is on and off. The structure of an equipment to be controled from the first floor to the fifth floor is constructed by a lamp to express the function of the open-close of the door according to the cage moving, to express the mechanical actuation of the forward-reverse break and motor of load and of hand-worked control component of Push-Button S/W, L/S and Relay. In order to act of the elevator function that these components connected, designed the auto program and the sequence control circuit. Consequently the process that these(1~5steps) operated the cage with an auto program of the elevator and the sequence control circuit is controled by the step of forward and reverse that the L/S1~L/S5 of sensor adjust function let posit, by the adjustable S/W1~S/W5 of PLC testing panel and the S/W1~S/W5 which installed on the transparent acryl plate of a frame. In here, improved apparatus is the learning equipment of combined use to study the principle and the technique of the originated sequence control circuit and the auto program of PLC.

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Toward Occlusion-Free Depth Estimation for Video Production

  • Park, Jong-Il;Seiki-Inoue
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1997.06a
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    • pp.131-136
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    • 1997
  • We present a method to estimate a dense and sharp depth map using multiple cameras for the application to flexible video production. A key issue for obtaining sharp depth map is how to overcome the harmful influence of occlusion. Thus, we first propose to selectively use the depth information from multiple cameras. With a simple sort and discard technique, we resolve the occlusion problem considerably at a slight sacrifice of noise tolerance. However, boundary overreach of more textured area to less textured area at object boundaries still remains to be solved. We observed that the amount of boundary overreach is less than half the size of the matching window and, unlike usual stereo matching, the boundary overreach with the proposed occlusion-overcoming method shows very abrupt transition. Based on these observations, we propose a hierarchical estimation scheme that attempts to reduce boundary overreach such that edges of the depth map coincide with object boundaries on the one hand, and to reduce noisy estimates due to insufficient size of matching window on the other hand. We show the hierarchical method can produce a sharp depth map for a variety of images.

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A Study on the Characteristics of Rudolph M. Schindler's Furniture Design based on his Architectural Language (루돌프 마이클 쉰들러의 건축언어를 기초로 한 가구 디자인의 특징에 관한 연구)

  • Lee, Hong-Kyu;Park, Jin-Ho
    • Korean Institute of Interior Design Journal
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    • v.17 no.2
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    • pp.122-129
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    • 2008
  • Rudolph Michael Schindler(1887-1953) has been known as one of the pioneering modem architects who pursued not merely stylistic expression but a true embodiment for the human life. His furniture design is particularly noteworthy in Schindler's building. He designed numerous furniture designs where it serves as a core principal of his interior design of each building. Nevertheless, despite his architectural accomplishments, his furniture design has less been discussed. This research focuses on investigating the notion and the characteristics of Schindler's furniture designs based on his architectural language. For an in depth study of Schindler's furniture, this study reconstructs the archival material by analyzing drawings and by fabricating scaled models to reveal the characteristics of Schindler's furniture. To do so, it concentrates on two things: On the one hand, the stylistic characteristics that have to do with simple geometry, human proportion, the use of material and visual technique; on the other hand, different furniture types. This article concludes by describing Schindler's furniture design that has grown from his unique design approach and its underlying formal and spatial design principles.

The Effect of Motives of Ramie Fabrics on Sensory Image Evaluation (모시 소재의 문양에 따른 감성 이미지 평가)

  • Lee, Soon-Im;Kim, Jae-Sook
    • The Research Journal of the Costume Culture
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    • v.14 no.6
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    • pp.1015-1026
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    • 2006
  • The purpose of the study were to find out (1) the effect of motives on perceiver's image perception on ramie fabrics, and perceiver's trait, age and gender on sensory image evaluation of ramie fabrics. The research was a quasi experiment and experimental materials developed for the study were a set of material stimuli and semantic differential scales to measure sensory image of the stimuli, an aesthetic value scale. the independent design was motif design techniques(Plain Weave, burnt-out, embroidery, stripe, check). The subjects were 421 adults in Daejeon and Seachun. The results was as follows: The factor analysis of semantic differential scales for the ramie materials emerged 4 different image dimensions: attractiveness, hand, elegance, weight). The five design techniques showed significantly different image affects on some selective dimensions. The burn-out design gave the most attractive image, the embroidery design gave the softest image and plain weaved fabric presented the lightest hand image. Consumer's aesthetic values, gender and age tended to affect sensory image evaluation of ramie materials. On conclusion the result revealed that design strategy for the ramie material, design development though motives will be an essential process. and for material design pursued design image and target consumer's trait should be carefully considered.

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Ship's Collision Avoidance Support System Using Fuzzy-CBR

  • Park, Gyei-Kark;Benedictos John Leslie RM.
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.5
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    • pp.635-641
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    • 2006
  • Ship's collision avoidance is a skill that masters of merchant marine vessels have acquired through years of experience and that makes them feel at ease to guide their ship out from danger quickly compared to inexperienced officers. Case based reasoning (CBR) uses the same technique in solving tasks that needs reference from variety of situations. CBR can render decision-making easier by retrieving past solutions from situations that are similar to the one at hand and make necessary adjustments in order to adapt them. In this paper, we propose to utilize the advantages of CBR in a support system for ship's collision avoidance while using fuzzy algorithm for its retrieval of similar navigational situations, stored in the casebase, thus avoiding the cumbersome tasks of creating a new solution each time a new situation is encountered. There will be two levels within the Fuzzy-CBR. The first level will identify the dangerous ships and infer the new case. The second level will retrieve cases from casebase and adapt the solution to solve for the output. While CBR's accuracy depends on the efficient retrieval of possible solutions to be adapted from stored cases, fuzzy algorithm will improve the effectiveness of solving the similarity to a new case at hand.

Building of Collision Avoidance Algorithm based on CBR

  • Park Gyei-Kark;Benedictos John Leslie RM
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2006.11a
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    • pp.39-44
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    • 2006
  • Ship's collision avoidance is a skill that masters of merchant marine vessels have acquired through years of experience and that makes them feel at ease to guide their ship out from danger quickly compared to inexperienced officers. Case based reasoning(CBR) uses the same technique in solving tasks that needs reference from variety of situations. CBR can render decision-making easier by retrieving past solutions from situations that are similar to the one at hand and make necessary adjustments in order to adapt them. In this paper, we propose to utilize the advantages of CBR in a support system for ship's collision avoidance while using fuzzy algorithm for its retrieval of similar navigational situations, stored in the casebase, thus avoiding the cumbersome tasks of creating a new solution each time a new situation is encountered. There will be two levels within the Fuzzy-CBR. The first level will identify the dangerous ships and index the new case. The second level will retrieve cases from casebase and adapt the solution to solve for the output. While CBR's accuracy depends on the efficient retrieval of possible solutions to be adapted from stored cases, fuzzy algorithm will improve the effectiveness of solving the similarity to a new case at hand.

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Financial Management Information System, Human Resource Competency and Financial Statement Accountability: A Case Study in Indonesia

  • SAPUTRA, Komang Adi Kurniawan;SUBROTO, Bambang;RAHMAN, Aulia Fuad;SARASWATI, Erwin
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.277-285
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    • 2021
  • This study aims to examine the effect of variables of financial management information systems, organizational culture, and human resource competence on the accountability of village government financial reporting. The sample was 65 villages in the two districts using a simple random sampling technique. To analyze the data of this research, multiple regression analysis was conducted. The results showed that organizational culture as a differentiator in the two districts, namely financial management information systems, organizational culture, and human resource competence has a significant positive effect on accountability in preparing village government financial reports in Tabanan Regency. Meanwhile, organizational culture does not have a significant influence in Badung Regency, this is because each village government has a different work culture. In the Tabanan regency, we use local culture as the basis for organizational culture, while in the Badung regency it can be examined between organizational culture and it is carried out differently, which indicates that no one organizational culture type is superior to other types. This means that all types can move in line with and hand-in-hand based on how and when organizational goals are to be realized.

A Hybrid Recommendation System based on Fuzzy C-Means Clustering and Supervised Learning

  • Duan, Li;Wang, Weiping;Han, Baijing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.7
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    • pp.2399-2413
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    • 2021
  • A recommendation system is an information filter tool, which uses the ratings and reviews of users to generate a personalized recommendation service for users. However, the cold-start problem of users and items is still a major research hotspot on service recommendations. To address this challenge, this paper proposes a high-efficient hybrid recommendation system based on Fuzzy C-Means (FCM) clustering and supervised learning models. The proposed recommendation method includes two aspects: on the one hand, FCM clustering technique has been applied to the item-based collaborative filtering framework to solve the cold start problem; on the other hand, the content information is integrated into the collaborative filtering. The algorithm constructs the user and item membership degree feature vector, and adopts the data representation form of the scoring matrix to the supervised learning algorithm, as well as by combining the subjective membership degree feature vector and the objective membership degree feature vector in a linear combination, the prediction accuracy is significantly improved on the public datasets with different sparsity. The efficiency of the proposed system is illustrated by conducting several experiments on MovieLens dataset.

Prediction of Yawing Moment for a Hand-Launched UAV Considering Interference Effect of Propeller Wake (프로펠러 후류 간섭 효과를 고려한 투척식 무인기 요잉모멘트 예측)

  • Park, Ji-Min;Kim, Dong-Hyun;Park, Hyung-Ju
    • Journal of the Korea Institute of Military Science and Technology
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    • v.24 no.4
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    • pp.426-434
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    • 2021
  • In this paper, three-dimensional unsteady computational fluid dynamic(CFD) analyses based on overset grid technique have been performed for a hand-launched unmanned aerial vehicle(UAV) considering the wake effect generated by a rotating propeller. In addition, the defection of rudder is considered in order to consider to predict the equilibrium condition of yawing moment during cruise flight conditions. It is importantly shown in this paper that the wake interference effect of the propeller is significant to accurately predict the yawing moment of the UAV and the yawing moment coefficient corresponding to a flight speed can be different because of its different amount of wake effect due to the different rotating speed of the propeller.