• Title/Summary/Keyword: challenging problems

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On-chip Decoupling Capacitor for Power Integrity (전력 무결성을 위한 온 칩 디커플링 커패시터)

  • Cho, Seungbum;Kim, Sarah Eunkyung
    • Journal of the Microelectronics and Packaging Society
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    • v.24 no.3
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    • pp.1-6
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    • 2017
  • As the performance and density of IC devices increase, especially the clock frequency increases, power grid network integrity problems become more challenging. To resolve these power integrity problems, the use of passive devices such as resistor, inductor, and capacitor is very important. To manage the power integrity with little noise or ripple, decoupling capacitors are essential in electronic packaging. The decoupling capacitors are classified into voltage regulator capacitor, board capacitor, package capacitor, and on-chip capacitor. For next generation packaging technologies such as 3D packaging or wafer level packaging on-chip MIM decoupling capacitor is the key element for power distribution and delivery management. This paper reviews the use and necessity of on-chip decoupling capacitor.

ON GENERALIZATIONS OF SKEW QUASI-CYCLIC CODES

  • Bedir, Sumeyra;Gursoy, Fatmanur;Siap, Irfan
    • Bulletin of the Korean Mathematical Society
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    • v.57 no.2
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    • pp.459-479
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    • 2020
  • In the last two decades, codes over noncommutative rings have been one of the main trends in coding theory. Due to the fact that noncommutativity brings many challenging problems in its nature, still there are many open problems to be addressed. In 2015, generator polynomial matrices and parity-check polynomial matrices of generalized quasi-cyclic (GQC) codes were investigated by Matsui. We extended these results to the noncommutative case. Exploring the dual structures of skew constacyclic codes, we present a direct way of obtaining parity-check polynomials of skew multi-twisted codes in terms of their generators. Further, we lay out the algebraic structures of skew multipolycyclic codes and their duals and we give some examples to illustrate the theorems.

Robotic Automation Technologies in Construction : A Review

  • Chu, Baek-Suk;Kim, Dong-Nam;Hong, Dae-Hie
    • International Journal of Precision Engineering and Manufacturing
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    • v.9 no.3
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    • pp.85-91
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    • 2008
  • Robot technology is a remarkably interdisciplinary research area, one that can be employed in various industrial fields as well as higher value-added fields. The construction industry, on the other hand, has been known as one of the most difficult research fields to apply robotic schemes. Therefore, applying robot technologies in the construction industry is quite a challenging topic. This paper aims to introduce the progress of automated robotic systems in construction fields, namely with respect to construction robots. While construction robots have a very wide range of application depending on the huge market size of the construction industry, there still exist a lot of problems such as highly risky working environment and inefficiency due to the labor intensive characteristic. In order to solve these problems, a variety of construction robots have been developed and, in this paper, the current state of the robotic systems for construction works and the vision of future robot technology in the construction field are introduced.

Extended Trigger Modelling for the Workflow Analysis and Design: Case of Telecommunication Company (워크플로 분석/설계를 위한 확장 트리거 모델링: 전화국 사례)

  • Han, Dong-Il;Park, Sei-Kwon
    • IE interfaces
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    • v.9 no.3
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    • pp.236-248
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    • 1996
  • Most of business enterprises today struggle with the coordination of work which is one of the most challenging problems in the business environment. And the situation becomes worse by the increasing complexity and uncertainty. In this paper, suitability of workflow technology for the modelling, optimization, and automation in the complex business structures is discussed. Also, in the abscence of a fully fledged method for analysis and design of workflow systems, this paper proposes a method, ETM(Extended Trigger Modelling), which can solve several problems in other methods. The proposed ETM approach consists of three stages such as situation analysis stage, activity coordination stage and implementation preparation stage. A modelling case of the proposed procedure is also presented.

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Securing Mobile Ad Hoc Networks Using Enhanced Identity-Based Cryptography

  • Mehr, Kamal Adli;Niya, Javad Musevi
    • ETRI Journal
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    • v.37 no.3
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    • pp.512-522
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    • 2015
  • Recent developments in identity-based cryptography (IBC) have provided new solutions to problems related to the security of mobile ad hoc networks (MANETs). Although many proposals to solve problems related to the security of MANETs are suggested by the research community, there is no one solution that fits all. The interdependency cycle between secure routing and security services makes the use of IBC in MANETs very challenging. In this paper, two novel methods are proposed to eliminate the need for this cycle. One of these methods utilizes a key pool to secure routes for the distribution of cryptographic materials, while the other adopts a pairing-based key agreement method. Furthermore, our proposed methods utilize threshold cryptography for shared secret and private key generation to eliminate the "single point of failure" and distribute cryptographic services among network nodes. These characteristics guarantee high levels of availability and scalability for the proposed methods. To illustrate the effectiveness and capabilities of the proposed methods, they are simulated and compared against the performance of existing methods.

Notes on "Perpetual Question" of Problem Solving: How Can Learners Best Be Taught Problem-Solving Skills?

  • Oleksiy, Yevdokimov;Peter, Taylor
    • Research in Mathematical Education
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    • v.12 no.3
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    • pp.179-191
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    • 2008
  • Although problem solving was a major focus of mathematics education research in many countries throughout the 1990s, not enough is known about how people best acquire problem-solving skills. This paper is an attempt to advance further development of problem-solving skills of talented school students through combination of some methods accessible from curriculum knowledge and more special techniques that are beyond curriculum. Analysis of various problems is provided in detail. Educational aspects of challenging problems in mathematical contests up to IMO level are, also, taken into account and discussed in the paper.

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THE SECOND-ORDER STABILIZED GAUGE-UZAWA METHOD FOR INCOMPRESSIBLE FLOWS WITH VARIABLE DENSITY

  • Kim, Taek-cheol;Pyo, Jae-Hong
    • Korean Journal of Mathematics
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    • v.27 no.1
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    • pp.193-219
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    • 2019
  • The Navier-Stokes equations with variable density are challenging problems in numerical analysis community. We recently built the 2nd order stabilized Gauge-Uzawa method [SGUM] to solve the Navier-Stokes equations with constant density and have estimated theoretically optimal accuracy. Also we proved that SGUM is unconditionally stable. In this paper, we apply SGUM to the Navier-Stokes equations with nonconstant variable density and find out the stability condition of the algorithms. Because the condition is rather strong to apply to real problems, we consider Allen-Cahn scheme to construct unconditionally stable scheme.

Object Feature Tracking Algorithm based on Siame-FPN (Siame-FPN기반 객체 특징 추적 알고리즘)

  • Kim, Jong-Chan;Lim, Su-Chang
    • Journal of Korea Multimedia Society
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    • v.25 no.2
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    • pp.247-256
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    • 2022
  • Visual tracking of selected target objects is fundamental challenging problems in computer vision. Object tracking localize the region of target object with bounding box in the video. We propose a Siam-FPN based custom fully CNN to solve visual tracking problems by regressing the target area in an end-to-end manner. A method of preserving the feature information flow using a feature map connection structure was applied. In this way, information is preserved and emphasized across the network. To regress object region and to classify object, the region proposal network was connected with the Siamese network. The performance of the tracking algorithm was evaluated using the OTB-100 dataset. Success Plot and Precision Plot were used as evaluation matrix. As a result of the experiment, 0.621 in Success Plot and 0.838 in Precision Plot were achieved.

Factors influencing children's emotional and behavioral problems perceived by North Korean refugee mothers: a descriptive study

  • In-Sook Lee;Jeong-Hee Jeon
    • Child Health Nursing Research
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    • v.30 no.2
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    • pp.129-141
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    • 2024
  • Purpose: The study investigated the relationships between key variables, including the level of parenting knowledge, acculturative stress, depression, and the strengths and difficulties associated with their children's emotions and behavior, among North Korean refugee mothers who faced the challenging task of adapting to Korean society while raising their children. Methods: A descriptive study design was used. Data were collected from 130 North Korean refugee mothers between September and November 2023. Results: The participants had very limited parenting knowledge, and 82.3% of them scored 21 or higher on the depression scale used in community epidemiological studies. Higher levels of parenting knowledge and lower levels of depression were associated with lower levels of acculturative stress. Moreover, higher levels of depression were associated with more emotional and behavioral difficulties in children. Maternal depression, age, and employment status were identified as factors that influenced emotional and behavioral problems in preschool-aged children. Conclusion: These findings underscore the importance of providing parent education and mental health support programs for North Korean refugee families in order to improve parents' parenting skills and emotional well-being.

Heuristics for Motion Planning Based on Learning in Similar Environments

  • Ogay, Dmitriy;Kim, Eun-Gyung
    • Journal of information and communication convergence engineering
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    • v.12 no.2
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    • pp.116-121
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    • 2014
  • This paper discusses computer-generated heuristics for motion planning. Planning with many degrees of freedom is a challenging task, because the complexity of most planning algorithms grows exponentially with the number of dimensions of the problem. A well-designed heuristic may greatly improve the performance of a planning algorithm in terms of the computation time. However, in recent years, with increasingly challenging high-dimensional planning problems, the design of good heuristics has itself become a complicated task. In this paper, we present an approach to algorithmically develop a heuristic for motion planning, which increases the efficiency of a planner in similar environments. To implement the idea, we generalize modern motion planning algorithms to an extent, where a heuristic is represented as a set of random variables. Distributions of the variables are then analyzed with computer learning methods. The analysis results are then utilized to generate a heuristic. During the experiments, the proposed approach is applied to several planning tasks with different algorithms and is shown to improve performance.