• Title/Summary/Keyword: Optimizing

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Research on the Implementation of the AES-CCM Security Mode in a High Data-Rate Modem (고속 모뎀에서의 AES-CCM 보안 모드 구현에 관한 연구)

  • Lee, Hyeon-Seok;Park, Sung-Kwon
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.60 no.4
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    • pp.262-266
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    • 2011
  • In high data-rate communication systems, encryption/decryption must be processed in high speed. In this paper, we implement CCM security mode which is the basis of security. Specifically, we combine CCM with AES block encryption algorithm in hardware. With the combination, we can carry out encryption/decryption as well as data transmission/reception simultaneously without reducing data-rate, and we keep low-power consumption with high speed by optimizing CCM block.

A Review of Power Supply Technology of Electrodeless lamps (무전극 램프의 전원장치에 대한 기술 동향)

  • 한수빈;박석인;정봉만;장우진;함중걸
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2002.11a
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    • pp.197-200
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    • 2002
  • This paper reviews electrodeless lamp technology. The lamp has very long life time but very high cost compared to conventional lamps such as fluorescent lamp. For optimizing the overall system in performance and cost power supply as well as lamp is very important. First, the paper describes various electrodeless lamps and its market condition. Then, a lot of circuit technology for constructing the power supply is reviewed and circuit characteristics are discussed

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Optimizing Portfolio Weights for the First Degree Stochastic Dominance with Maximum Expected Return (1차 확률적 지배를 하는 최대수익 포트폴리오 가중치의 탐색에 관한 연구)

  • Ryu, Choon-Ho
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2007.11a
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    • pp.134-137
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    • 2007
  • Unlike the mean-variance approach, the stochastic dominance approach is to form a portfolio that stochastically dominates a predetermined benchmark portfolio such as KOSPI. This study is to search a set of portfolio weights for the first degree stochastic dominance with maximum expected return by managing the constraint set and the objective function separately. An algorithm was developed and tested with promising results against Korean stock market data sets.

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Vibration Optimization Using Immune-GA Algorithm (면역-유전알고리즘을 이용한 진동최적화)

  • 최병근;양보석
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1998.04a
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    • pp.273-279
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    • 1998
  • An immune system has powerful abilities such as memory, recognition and learning to respond to invading antigens, and is applied to many engineering algorithm recently. In this paper, the combined optimization algorithm is proposed for multi-optimization problem by introducing the capability of the immune system that controls the proliferation of clones to the genetic algorithm. The optimizing ability of the proposed optimization algorithm is identified by using two multi-peak functions which have many local optimums and optimization of the unbalance response function for rotor model.

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Nonlinear Goal Programming for Optimizing Rice Conditioning and Storage Systems : Part II…Application (벼 조제(調製) 및 저장(貯藏) 시스템의 최적화(最適化)를 위한 비선형(非線型) 골 프로그래밍(II))

  • Chang, Dong Il;Chung, Do Sup;Hwang, C.L.
    • Journal of Biosystems Engineering
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    • v.9 no.1
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    • pp.46-52
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    • 1984
  • MODM(Multiple Objective Decision Making) 문제(問題)로서의 벼 건조(乾燥) 및 저장시설(貯藏施設)의 설계문제(設計問題)에 NGP(Nonlinear Goal Programming)를 이용(利用)하여 어떻게 적정화(適正化)할 수 있는가를 예제(例題)를 통하여 제시(提示)한 후, $1,762m^2$의 수확량(收穫量)에 대한 6가지의 벼 건조(乾燥) 및 저장시설(貯藏施設)에 대한 각각의 적정(適正)시스템을 제시(提示)하였다.

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Optimizing Nutrition Support in Cancer Care

  • Menon, Kavitha Chandrasekhara
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.6
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    • pp.2933-2934
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    • 2014
  • Involvement of a multidisciplinary team in cancer care may have added benefits over the existing system of patient management. A paradigm shift in the current patient management would allow more focus on nutritional support, in addition to clinical care. Malnutrition, a common problem in cancer patients, needs special attention from the early days of cancer care to improve quality of life and treatment outcomes. Patient management teams with trained oncology dietitians may provide quality personalized nutritional care to cancer patients.

A production schedule with genetic algorithm in block assembly shop (유전 알고리즘을 이용한 블록조립공장의 생산일정계획)

  • 고시근
    • Korean Management Science Review
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    • v.13 no.1
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    • pp.1-12
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    • 1996
  • This paper deals with production scheduling of block assembly shop in shipbuilding company. The Objectives of the schedule are leveling of daily total workload and fair assignment of workload to each department of the shop. Optimizing the objectives, we consider some restrictions which consisit of block due dates, workability of each department, and space restriction. We formulate the problem in mathematical form. But the model is too complex to find the optimal solution (the problem is NP-complete) and we use the genetic algorithm to find a good solution.

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An analysis on Trailer and Tractor Problem (TTP) (트레일러-트렉터문제에 대한 연구)

  • Han, Yun-Taek;Jang, Su-Yeong
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2006.11a
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    • pp.284-287
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    • 2006
  • We consider the transportation problem of optimizing the use of trailers and tractors. Several variants with fixed loading and unloading time are discussed. We show that the variant requiring on-time delivery can be solved in polynomial time, whereas the other variant requiring time-window delivery is NP-hard. We also discuss that if the number of loading and unloading operations assigned to each trailer or tractor is limited, even the variant requiring on-time delivery becomes NP-hard.

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Short Note on Optimizing Feature Selection to Improve Medical Diagnosis

  • Guo, Cui;Ryoo, Hong Seo
    • Journal of the Korean Operations Research and Management Science Society
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    • v.39 no.4
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    • pp.71-74
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    • 2014
  • A new classification framework called 'support feature machine' was introduced in [2] for analyzing medical data. Contrary to authors' claim, however, the proposed method is not designed to guarantee minimizing the use of the spatial feature variables. This paper mathematically remedies this drawback and provides comments on models from [2].