• Title/Summary/Keyword: Problem Spaces

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A Study on the Evaluation of Personal and Common Work Environment of Offices -Based on Survey of Office Workers in Seoul (오피스의 개인 및 공동 업무환경 평가연구-서울시 오피스 사용자를 대상으로-)

  • 제해성;하미경
    • Korean Institute of Interior Design Journal
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    • no.7
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    • pp.3-11
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    • 1996
  • This study intents to provide useful information of effective office works by evaluating existing office work environment. It focuses on evaluating the quality of personal and common work spaces, comparing responses for user groups to their work environment, and identifying factors which affect the satisfaction of work environment . The study is based on the survey which has been answered by 193 respondents from 24 companies (mainly from large corporate companies) in Seoul. This study finds out that noise is the most serious problem in common work space and that environmental comfort and the size of common space are not satisfactory in their effective work. It identifies that open space work environment, which has been expansively provided for a long time, causes noise problem and deprives office workers of privacy and personalization opportunities. The respondents reply that meeting spaces are not enough in number and size and lack of privacy and its adequate quality . They respond that privacy , chair comfortness and storage spaces are important factors for personal work spaces. In order to improve the quality and efficiency of work, this study proposes that companies should provide convenient office facilities which considering human ergonomic and should educate professional facility managers.

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A Study on the Environmental Characteristics of Rest Spaces in Department Stores (백화점 휴게공간의 실내환경특성에 관한 연구)

  • Heo, Han;Eo, Sung-Sin;Hwang, Yeon-Sook
    • Korean Institute of Interior Design Journal
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    • v.24 no.6
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    • pp.3-12
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    • 2015
  • Recently, the spatial design of resting spaces in department stores has been changed. The design elements such as colors, materials, lighting, natural elements, furniture arrangement, and VMD are not only providing a pleasant and natural indoor atmosphere in resting spaces but also providing various services to customers. In this study, it aims to analyze how the spatial design characteristics of resting spaces in department stores are appeared. The results are as follows. First, the spatial characteristics of the resting spaces in department sores came up as five factors; accessibility, recognition, comfort, convenience, and esthetics. As the result, the accessibility is the most important factor in resting spaces. Second, the resting spaces was well located near by the elevators and escalators providing easy accessibility to customers to floor. Third, the resting spaces need to improve the spatial design for emphasizing the recognitions by using colors, materials and lighting. Fourth, the resting spaces were provided different atmosphere by their location. Fifth, the various forms of furniture, curved, zigzagged, and cubed, were placed in the resting spaces for comport use. Sixth, the aesthetic was the least important factor of all. To improve this problem, the resting spaces need to provide cultural contents by installing art pieces, moving picture facilities, and VMD. Seven, most of the resting spaces had similar floor plan type that they did not perform their role successfully. The resting spaces need to provide both individual rooms and unique open spaces for giving a choice to use when customers visit them.

Accelerated Tseng's Technique to Solve Cayley Inclusion Problem in Hilbert Spaces

  • Shamshad, Husain;Uqba, Rafat
    • Kyungpook Mathematical Journal
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    • v.62 no.4
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    • pp.673-687
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    • 2022
  • In this study, we solve the Cayley inclusion problem and the fixed point problem in real Hilbert space using Tseng's technique with inertial extrapolation in order to obtain more efficient results. We provide a strong convergence theorem to approximate a common solution to the Cayley inclusion problem and the fixed point problem under some appropriate assumptions. Finally, we present a numerical example that satisfies the problem and shows the computational performance of our suggested technique.

PREPROXIMITY, UNIFORMITY SPACES AND APPLICATIONS OF (E, L) FUZZIFYING MATROID

  • Khalaf, Mohammed M.
    • Honam Mathematical Journal
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    • v.40 no.1
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    • pp.27-46
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    • 2018
  • In this paper, (E, L)-preproximity and uniformity spaces in matriod theory as a generalized to a classical proximity and Uniformity spaces introduced by Csaszar [1] is introduced. Recently, Shi [17]-[18] introduced a new approach to the fuzzification of matroids.Here introduce (E, L)-preproximity and uniformity spaces, Uniformity and strong uniformity on (E, L)-fuzzifying matroid space, Not only study the properties of this new notions, but it has been generated (E, L)-fuzzifying matroid Space from (E, L)-preproximity and uniformity spaces. Next to introduced (E, L)-preproximity continuous in (E, L)-fuzzifying matroid space and used it in more properties. Finally we solve combinatorial optimizations problem via (E, L)-fuzzifying matroid space.

Survey of the Arithmetic and Geometric Approach to the Schottky Problem

  • Jae-Hyun Yang
    • Kyungpook Mathematical Journal
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    • v.63 no.4
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    • pp.647-707
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    • 2023
  • In this article, we discuss and survey the recent progress towards the Schottky problem, and make some comments on the relations between the André-Oort conjecture, Okounkov convex bodies, Coleman's conjecture, stable modular forms, Siegel-Jacobi spaces, stable Jacobi forms and the Schottky problem.

Hybrid Algorithms for Ky Fan Inequalities and Common Fixed Points of Demicontractive Single-valued and Quasi-nonexpansive Multi-valued Mappings

  • Onjai-uea, Nawitcha;Phuengrattana, Withun
    • Kyungpook Mathematical Journal
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    • v.59 no.4
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    • pp.703-723
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    • 2019
  • In this paper, we consider a common solution of three problems in real Hilbert spaces: the Ky Fan inequality problem, the variational inequality problem and the fixed point problem for demicontractive single-valued and quasi-nonexpansive multi-valued mappings. To find the solution we present a new iterative algorithm and prove a strong convergence theorem under mild conditions. Moreover, we provide a numerical example to illustrate the convergence behavior of the proposed iterative method.

Order Structures of Compactifications in L-fuzzy Topological Spaces

  • Liu, Yingming;Luo, Maokang
    • Journal of the Korean Institute of Intelligent Systems
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    • v.2 no.1
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    • pp.3-16
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    • 1992
  • In this paper, we establish the conceptes of compactifications of a L-fuzzy topological space and a order relation in these compactifications. This order is a preorder. The existemce problem and the uniqueness problem of the largest compactifications are closely related to the mapping extension problem. We give out the largest compactifications and show the non-uniqueness of the largest compactifications in the preorder for a kind of spaces. Moreover, under some natural assumptions of separation axioms, we prove that the preorder is just a partial order, thus it ensures the uniqueness of the largest compactification. In addition. the related discussion involves the special properties of fuzzy product space, the latter seems to be independent interesting.

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An optimized deployment strategy of smart smoke sensors in a large space

  • Liu, Pingshan;Fang, Junli;Huang, Hongjun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.11
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    • pp.3544-3564
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    • 2022
  • With the development of the NB-IoT (Narrow band Internet of Things) and smart cities, coupled with the emergence of smart smoke sensors, new requirements and issues have been introduced to study on the deployment of sensors in large spaces. Previous research mainly focuses on the optimization of wireless sensors in some monitoring environments, including three-dimensional terrain or underwater space. There are relatively few studies on the optimization deployment problem of smart smoke sensors, and leaving large spaces with obstacles such as libraries out of consideration. This paper mainly studies the deployment issue of smart smoke sensors in large spaces by considering the fire probability of fire areas and the obstacles in a monitoring area. To cope with the problems of coverage blind areas and coverage redundancy when sensors are deployed randomly in large spaces, we proposed an optimized deployment strategy of smart smoke sensors based on the PSO (Particle Swarm Optimization) algorithm. The deployment problem is transformed into a multi-objective optimization problem with many constraints of fire probability and barriers, while minimizing the deployment cost and maximizing the coverage accuracy. In this regard, we describe the structure model in large space and a coverage model firstly, then a mathematical model containing two objective functions is established. Finally, a deployment strategy based on PSO algorithm is designed, and the performance of the deployment strategy is verified by a number of simulation experiments. The obtained experimental and numerical results demonstrates that our proposed strategy can obtain better performance than uniform deployment strategies in terms of all the objectives concerned, further demonstrates the effectiveness of our strategy. Additionally, the strategy we proposed also provides theoretical guidance and a practical basis for fire emergency management and other departments to better deploy smart smoke sensors in a large space.

An Optimal Admissible Trajectory Determination for a Cooperating Two-Robot System (두 로보트의 협력제어를 위한 최적조작가능 경로의 결정 방법)

  • Lim, Joon-Hong
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.26 no.9
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    • pp.1332-1339
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    • 1989
  • The problem of finding an admissible object trajectory for a cooperating two-robot system is investigated. The method is based on reformulating the problem as a nonlinear optimization problem with equality constraints in terms of the joint variables. The optimization problem is then solved numerically on a computer. The solution automatically gives the corresponding joint variable trajectories as well, thus eliminating the need for solving the inverse kinematic problem. The performance indices are chose in joint and cartesian spaces and computer simulations are performed.

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Analyzing Problem Instance Space Based on Difficulty-distance Correlation (난이도-거리 상관관계 기반의 문제 인스턴스 공간 분석)

  • Jeon, So-Yeong;Kim, Yong-Hyuk
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.4
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    • pp.414-424
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    • 2012
  • Finding or automatically generating problem instance is useful for algorithm analysis/test. The topic has been of interest in the field of hardware/software engineering and theory of computation. We apply objective value-distance correlation analysis to problem spaces, as previous researchers applied it to solution spaces. According to problems, we define the objective function by (1) execution time of tested algorithm or (2) its optimality; this definition is interpreted as difficulty of the problem instance being solved. Our correlation analysis is based on the following aspects: (1) change of correlation when we use different algorithms or different distance functions for the same problem, (2) change of that when we improve the tested algorithm, (3) relation between a problem instance space and the solution space for the same problem. Our research demonstrates the way of problem instance space analysis and will accelerate the problem instance space analysis as an initiative research.