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A study on the general characteristics of Kahn's healthcare buildings - with the comparative study from historical and contextual standpoints - (루이스 칸의 병원건축에 나타난 일반적인 특성에 관한 연구 - 시대적 문맥적 비교와 함께 -)

  • Lim, Yeonghwan;Kim, Jihwan
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.15 no.4
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    • pp.13-21
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    • 2009
  • Healthcare design is always challenged to come up with the rapid changes in healthcare system and industry as well as complicated planning requirements. This thesis aims to grab good instructions from Louis I Kahn who designed more than 15 healthcare projects during his entire life, from the winning project of the student competition in 1920 to Ayub hospital in Dhaka, Bangladesh after his death. His many hospital projects are deeply related to his famous projects such as Yale Art gallery, Philips Exeter Library, and Sher-E-Bangla Nagar national capital of assembly hall. But, it is not easy to find the researches about his hospital projects among many books and theses about him. Thus, this thesis investigates them and their contextual and historical relationships in order to find the way to apply his knowledge and philosophy about healthcare design to the modern hospital projects. We expect that it will promote more following researches for his healthcare projects.

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An Efficient Decision Maki ng Method for the Selectionof a Layered Manufacturing (3차원 조형장비 선정을 위한 효율적인 의사결정 방법)

  • Byun, Hong-Seok
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.18 no.1
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    • pp.59-67
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    • 2009
  • The purpose of this study is to provide a decision support to select an appropriate layered manufacturing(LM) machine that suits the application of a part. Selection factors include concept model, form/fit/functional model, pattern model far molding, material property, build time and part cost that greatly affect the performance of LM machines. However, the selection of a LM is not an easy decision because they are uncertain and vague. For this reason, the aim of this research is to propose hybrid multiple attribute decision making approaches to effectively evaluate LM machines. In addition, because subjective considerations are relevant to selection decision, a fuzzy logic approach is adopted. The proposed selection procedure consists of several steps. First, we identify LM machines that the users consider After constructing the evaluation criteria, we calculate the weights of the criteria by applying the fuzzy Analytic Hierarchy Process(AHP) method. Finally, we construct the fuzzy Technique of Order Preference by Similarity to Ideal Solution(TOPSIS) method to achieve the ranking order of all machines providing the decision information for the selection of LM machines.

A study on the Depression of the Middle aged Woman (중년기 여성의 우울증에 관한 연구)

  • 장하경;서병숙
    • Journal of Families and Better Life
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    • v.10 no.2
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    • pp.263-276
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    • 1992
  • The middle aged woman today have met discord of unbalance in gender role identity due to change in cultual situation and view of value of our country since 1960. Under the promise that there is a relationship between depression which is a psychological characteristic and gender role traits of middle aged woman, and in consideration that the depression of middle-aged woman may be differentiated depend upon the expressive manner of gender role, this research was trying to find out the relationship between the gender role traits and the depression of middle aged women. The purpose of his research is to provide data to be helpful for marital hygirne of middle-aged women by presenting a plan to reduce depression of middle-aged woman by the desirable gender role. In order for such studying purpose, the gender role, physical symptom and socio-demographic feature were researched using the scale which was by this researcher. The questionnaire sheets of 327 use form middle-aged woman of 39 years to 59 years old in full with their last child is 10 years or order. The summerized results of study are as follows. In consolidation of the foregoing it have known that the socio-economic position and recognition of physical symptom and the masculinity feature has shown less depression as she feels less physical symptom due to there is relationship between recondition of physical symptom and he masculity feature, and also, it has known that the depression of middle-aged women may be reduced when such extroversive and expressional gender role features are developed as 'aggressiveness and ' fraternity, and the depression may be prompted due to such introvert and easy to be impacted by grudge as 'impression'

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A Study on Digital Collection Development Policies of Academic Libraries (대학도서관의 디지털장서 개발정책에 관한 연구)

  • 유재옥
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.14 no.1
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    • pp.123-140
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    • 2003
  • This paper reviews digital collection development policies of academic libraries in America which attempted to digitize their collections in order to preserve their analog collections and to provide easy access to their digital collections. Such factors as selecting materials for digitization, sustainable size of digital collection, bibliographic control and collection management, coordinated digital collection project are discussed in order to be fully integrated into traditional collection development policies of academic libraries.

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A Study on the Design of Railway Electornic Interlocking Software Based on Real-Time Object-Oriented Modeling Technique (ROOM기법을 이용한 전자연동 소프트웨어 설계에 관한 연구)

  • Kim, Jong-Sun;Yoo, Ji-Yoon
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.50 no.9
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    • pp.439-446
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    • 2001
  • This paper considers the design technique of the real-time control algorithm to implement the electronic interlocking system which is the most important station control system in railway signal field. The proposed technique consists of the structure design and the detail design which are based on the ROOM(Real-Time Object-Oriented Modeling). The structure design is designed with a modeling using the heuristic search technique which, at first, catch and make out the specific requested condition, and then, is designed on the requested condition. The detail design can be implemented if it may get the satisfying values through the repetitive modeling after comparing and examining the data obtained from the structure design in order for the more reliable and accurate system to be implemented. The technique proposed in this paper is implemented with C++ language which is easy to be transferred and compatible with the existing interfaces, and also the operating system is designed and simulated on the VRTX which is a real-time operating system. This proposed technique is applied to the typical station model in order to prove the validity as verifying the performance of the modeled station.

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Speed-Sensorless Speed Control of DC Servo Motor Using a High Gain Observer (고이득 관측기를 이용한 직류서보전동기의 속도 센서리스 속도제어)

  • Him, Sang-Hoon;Kim, Myung-Joon;Yun, Kwang-Ho;Nam, Moon-Hyun;Kim, Lark-Kyo
    • Proceedings of the KIEE Conference
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    • 2003.07d
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    • pp.2203-2205
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    • 2003
  • In this thesis, it is a purpose to carry out speed control of DC servo motor without using encoder and the resolver which are speed sensor of DC servo motor and it should use estimate algorithm or observer and must assume a speed in order to control speed sensorless. Therefore, high gain observer was designed to estimate rotor speed of DC servo motor and it carries out speed control from the feedback of the speed that assumed done in the thesis. Also, implementation used easy PI controller in speed-controller of DC motor though it was simple. It is compared estimate performance of Luenberger and high gain observer in a way of computer simulation in order to verify performance of the high gain observer which proposed in this thesis, and proved excellency of the high gain observer. And the thesis proved that smooth speed sensorless control of DC servo motor was implemented in invariable driving.

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A study on the use of DDC scheme in directory search engine for research information resources on internet (인터넷 학술정보자원의 디렉토리 서비스 설계에 있어서 DDC 분류체계의 활용에 관한 연구)

  • 최재황
    • Journal of the Korean Society for information Management
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    • v.15 no.2
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    • pp.47-68
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    • 1998
  • Although the research information resources on Internet are spread out on thousands of computers, it is not always easy to get them on the right time by the right manner. The purpose of this study is to use DDC(Dewey Decimal Classification) scheme in subject-based directory search engine for research information resourcees to aid retrieval on the Internet. For the design of classification code, this study followed 'systematic order' of DDC to arrange subjects from the general o the specific in a logical order, and for the design of classification dictionary, 'Relative Index' of DDC was used to bring together the various aspects of subjects.

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A Study on Evaluating the Ability of the Competitive Container Ports in Far-East Asia (극동 아세아 컨테이너 항만의 능력평가에 관한 연구)

  • Lee S.T.;Lee C.Y.
    • Journal of Korean Port Research
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    • v.7 no.1
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    • pp.13-24
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    • 1993
  • The rapid progress of the intermodal freight transportation in recent years has induced fierce competition among the adjacent hub ports for container transport. This brings increased attention to the evaluation of the port competitive ability. But it is not easy to evaluate the port competitive ability because this belongs to ill-defined system which is composed of ambiguous interacting attributes. Paying attention to this point, this paper deals the competitive ability of container port in Far-East Asia by fuzzy integral evaluation which is adequate to interacting ambiguous attribute problem. For this, the proposed fuzzy evaluation algorithm is applied to the real problem, based on the factors such as cargo volumes, costs, services, infrastructure and geographical sites These are extracted from the precedent study of port competitive ability, etc. The results show that the port evaluation factors come in following order ; services, costs, infrastructure, geographical sites and cargo volumes. There are some interactions(interaction coefficient, ${\lambda}=-0.664$ between evaluation attributes. The port competitive ability comes in following order : Singapore, Hongkong, Kobe, Kaoshiung and Busan. According to the sensitivity analysis, the rank between Busan and Kaoshiung changes when ${\lambda}=0.7$. From the analysis of the results, we confirmed that the proposed fuzzy evaluation algorithm is very effective in the complex-fuzzy problem which is composed of hierarchical structure with interacting attributes.

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Adaptive Attention Annotation Model: Optimizing the Prediction Path through Dependency Fusion

  • Wang, Fangxin;Liu, Jie;Zhang, Shuwu;Zhang, Guixuan;Zheng, Yang;Li, Xiaoqian;Liang, Wei;Li, Yuejun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.9
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    • pp.4665-4683
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    • 2019
  • Previous methods build image annotation model by leveraging three basic dependencies: relations between image and label (image/label), between images (image/image) and between labels (label/label). Even though plenty of researches show that multiple dependencies can work jointly to improve annotation performance, different dependencies actually do not "work jointly" in their diagram, whose performance is largely depending on the result predicted by image/label section. To address this problem, we propose the adaptive attention annotation model (AAAM) to associate these dependencies with the prediction path, which is composed of a series of labels (tags) in the order they are detected. In particular, we optimize the prediction path by detecting the relevant labels from the easy-to-detect to the hard-to-detect, which are found using Binary Cross-Entropy (BCE) and Triplet Margin (TM) losses, respectively. Besides, in order to capture the inforamtion of each label, instead of explicitly extracting regional featutres, we propose the self-attention machanism to implicitly enhance the relevant region and restrain those irrelevant. To validate the effective of the model, we conduct experiments on three well-known public datasets, COCO 2014, IAPR TC-12 and NUSWIDE, and achieve better performance than the state-of-the-art methods.

Evolutionary Neural Network based on Quantum Elephant Herding Algorithm for Modulation Recognition in Impulse Noise

  • Gao, Hongyuan;Wang, Shihao;Su, Yumeng;Sun, Helin;Zhang, Zhiwei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.7
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    • pp.2356-2376
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    • 2021
  • In this paper, we proposed a novel modulation recognition method based on quantum elephant herding algorithm (QEHA) evolving neural network under impulse noise environment. We use the adaptive weight myriad filter to preprocess the received digital modulation signals which passing through the impulsive noise channel, and then the instantaneous characteristics and high order cumulant features of digital modulation signals are extracted as classification feature set, finally, the BP neural network (BPNN) model as a classifier for automatic digital modulation recognition. Besides, based on the elephant herding optimization (EHO) algorithm and quantum computing mechanism, we design a quantum elephant herding algorithm (QEHA) to optimize the initial thresholds and weights of the BPNN, which solves the problem that traditional BPNN is easy into local minimum values and poor robustness. The experimental results prove that the adaptive weight myriad filter we used can remove the impulsive noise effectively, and the proposed QEHA-BPNN classifier has better recognition performance than other conventional pattern recognition classifiers. Compared with other global optimization algorithms, the QEHA designed in this paper has a faster convergence speed and higher convergence accuracy. Furthermore, the effect of symbol shape has been considered, which can satisfy the need for engineering.