• Title/Summary/Keyword: Conduct problem

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A Study on Open of Information Data and Privacy Rights

  • Kim, Taek
    • Journal of the Korea Society of Computer and Information
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    • 제21권11호
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    • pp.73-78
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    • 2016
  • All citizens will not be infringed communications rub. That can be seen to have the privacy freedom.lot (Internet of things) have released a security system in the era of information privacy appear that public safety and threat. Currently, Information and communication devices can be use criminal investigation, including search and seizure confirmed the fact communication of the communication restriction information storage medium for the common purpose of providing material system, the system provides data and communications. This paper focused on Privacy and open of information data by the Prosecutor and Police in korea. Privacy rights include that transparency information, communication, and protections for the rights of the individuals. It is necessary to be lawfulness of processing, individuals consent while Prosecutors investigations. especially we need explicit condition and National agency need to obtain in order to legitimize their processing of personal information data. The author emphasize are as follows: first, to examine Privacy rights information' necessity and problem, second, to understand Privacy rights and limits, third, to suggest improvements for the purpose of Transparency, codes of conduct and Democracy of information.

A Study on the Ability and Characteristics of 4th Grade Elementary Students on Inductive Reasoning (초등학교 4학년 학생들의 귀납적 추론능력 실태와 특징에 관한 연구)

  • Jung, Soon Hwa;Yu, Hyun Joo
    • Journal of Elementary Mathematics Education in Korea
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    • 제21권3호
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    • pp.461-483
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    • 2017
  • The ability to think mathematically and to reason inductively are basics of logical reasoning and the most important skill which students need to acquire through their Math curriculum in elementary school. For these reasons, we need to conduct an analysis in their procedure in inductive reasoning and find difficulties thereof. Therefore, through this study, I found parts which covered inductive reasoning in their Math curriculum and analyzed the abilities and characteristics of students in solving a problem through inductive reasoning.

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Action Costs-based Heuristics for Optimal Planning (최적 계획생성을 위한 동작비용 기반의 휴리스틱)

  • Kim, Wantae;Kim, Hyunsik
    • Journal of Korea Society of Digital Industry and Information Management
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    • 제13권2호
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    • pp.27-34
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    • 2017
  • Highly informative admissible heuristics can help to conduct more efficient search for optimal solutions. However, in general, more informative ones of heuristics from planning problems requires lots of computational effort. To address this problem, we propose an Delete Relaxation based Action Costs-based Planning Graph(ACPG) and Action Costs-based Heuristics for solving optimal planning problems more efficiently. The ACPG is an extended one to be applied to can find action costs between subgoal & goal conditions from the Relaxed Planning Graph(RPG) which is a common means to get heuristics for solving the planning problems, Action Costs-based Heuristics utilizing ACPG can find action costs difference between subgoal & goal conditions in an effective way, and then consider them to estimate the goal distance. In this paper, we present the heuristics algorithm to compute Action Costs-based Heuristics, and then explain experimental analysis to investigate the efficiency and the accuracy of the Action Costs-based Heuristics.

Forecasting Renewable Energy Using Delphi Survey and the Economic Evaluation of Long-Term Generation Mix (델파이 활용 신재생 에너지 수요예측과 장기전원 구성의 경제성 평가)

  • Koo, Hoonyoung;Min, Daiki
    • Journal of Korean Institute of Industrial Engineers
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    • 제39권3호
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    • pp.183-191
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    • 2013
  • We address the power generation mix problem that considers not only nuclear and fossil fuels such as oil, coal and LNG but also renewable energy technologies. Unlike nuclear or other generation technologies, the expansion plan of renewable energy is highly uncertain because of its dependency on the government policy and uncertainty associated with technology improvements. To address this issue, we conduct a delphi survey and forecast the capacity of renewable energy. We further propose a stochastic mixed integer programming model that determines an optimal capacity expansion and the amount of power generation using each generation technology. Using the proposed model, we test eight generation mix scenarios and particularly evaluate how much the expansion of renewable energy contributes to the total costs for power generation in Korea. The evaluation results show that the use of renewable energy incurs additional costs.

Static Control of Boolean Networks Using Semi-Tensor Product Operation (Semi-Tensor Product 연산을 이용한 불리언 네트워크의 정적 제어)

  • Park, Ji Suk;Yang, Jung-Min
    • The Transactions of The Korean Institute of Electrical Engineers
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    • 제66권1호
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    • pp.137-143
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    • 2017
  • In this paper, we investigate static control of Boolean networks described in the framework of semi-tensor product (STP) operation. The control objective is to determine control input nodes and their logical values so as to stabilize the considered Boolean network to a desired fixed point or cycle. Using topology of Boolean networks such as incidence matrix and hub nodes, a set of appropriate control input nodes is selected, and based on STP operations, we assign constant control inputs so that the controlled network can converge to a prescribed fixed point or cycle. To validate applicability of the proposed scheme, we conduct a numerical study on the problem of determining control input nodes for a Boolean network representing hierarchical differentiation of myeloid progenitors.

Towards a Development Strategy for the Recruitment and Retention of Women Seafarers in Cargo Ships with Particular Reference to the Republic of Korea

  • Jo, So-Hyun
    • Journal of Navigation and Port Research
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    • 제35권2호
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    • pp.137-147
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    • 2011
  • The prime objective set for paper is to identify what are the women seafarers' problems and concerns regarding employment on cargo ships. From the cargo ship point of view, the question then is how to provide sufficient solutions for women seafarers in the male-dominated workplace of the ship through Corporate Social Responsibility(CSR) activities. The methodologies of study combine qualitative and quantitative research methods. The progress of research is to conduct a survey by asking a consistent set of key opinion leaders from the Republic of Korea. Moreover, to evaluate the elements of the result, the research explores the way in which we should consider giving priority to aspects of the problem. Finally, based on the terms of CSR, the author recommends measures to support the needs of women when they are employed onboard the world's merchant vessels.

Particle tracking acceleration via signed distance fields in direct-accelerated geometry Monte Carlo

  • Shriwise, Patrick C.;Davis, Andrew;Jacobson, Lucas J.;Wilson, Paul P.H.
    • Nuclear Engineering and Technology
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    • 제49권6호
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    • pp.1189-1198
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    • 2017
  • Computer-aided design (CAD)-based Monte Carlo radiation transport is of value to the nuclear engineering community for its ability to conduct transport on high-fidelity models of nuclear systems, but it is more computationally expensive than native geometry representations. This work describes the adaptation of a rendering data structure, the signed distance field, as a geometric query tool for accelerating CAD-based transport in the direct-accelerated geometry Monte Carlo toolkit. Demonstrations of its effectiveness are shown for several problems. The beginnings of a predictive model for the data structure's utilization based on various problem parameters is also introduced.

A Method to Minimize Classification Rules Based on Data Mining and Logic Synthesis

  • Kim, Jong-Wan
    • Journal of Korea Multimedia Society
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    • 제11권12호
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    • pp.1739-1748
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    • 2008
  • When we conduct a data mining procedure on sample data sources, several rules are generated. But some rules are redundant or logically disjoint and therefore they can be removed. We suggest a new rule minimization algorithm inspired from logic synthesis to improve comprehensibility and eliminate redundant rules. The method can merge several relevant rules into one based on data mining and logic synthesis without high loss of accuracy. In case of two or more rules are candidates to be merged, we merge the rules with the attribute having the lowest information gain. To show the proposed method could be a reasonable solution, we applied the proposed approach to a problem domain constructing user preferred ontology in anti-spam systems.

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Change Analysis for Inheritance Relation in Method Level (계승관계에서 구성원 함수 수준의 변경 영향 분석)

  • 방정원
    • Journal of the Korea Society of Computer and Information
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    • 제7권1호
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    • pp.27-32
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    • 2002
  • Software reuse was focused for the way of improving programmer productivity from the crisis of software. Object oriented technology impact on overall area of software engineering, such as software analysis , Programming language. testing and maintenance. The new concepts, Class, Inheritance and encapsulation, not only introduce new testing problems and they raise a new challenging question of how to conduct regression testing for 0-0 programs the first problem of regression testing is how to identify the affected components due to the changes of some components. We propose a method firewall to enclose all classes and methods affected by the changes to one or more methods in Inheritance relation

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An Improved PSO Algorithm for the Classification of Multiple Power Quality Disturbances

  • Zhao, Liquan;Long, Yan
    • Journal of Information Processing Systems
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    • 제15권1호
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    • pp.116-126
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    • 2019
  • In this paper, an improved one-against-one support vector machine algorithm is used to classify multiple power quality disturbances. To solve the problem of parameter selection, an improved particle swarm optimization algorithm is proposed to optimize the parameters of the support vector machine. By proposing a new inertia weight expression, the particle swarm optimization algorithm can effectively conduct a global search at the outset and effectively search locally later in a study, which improves the overall classification accuracy. The experimental results show that the improved particle swarm optimization method is more accurate than a grid search algorithm optimization and other improved particle swarm optimizations with regard to its classification of multiple power quality disturbances. Furthermore, the number of support vectors is reduced.