• 한국수학교육학회지시리즈A:수학교육
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• 제47권3호
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• pp.239-259
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• 2008

This paper is to find and to suggest alternative ways of description on function chapters in the middle school mathematics so that the descriptions be more closely related to daily life. The research has two phases: one for belief on the usefulness, the other for cognitive ability to solve the practical problems. Results are as following. 1. Most descriptions of corresponding chapters have emphases on the usefulness of functions so as to enhance beliefs on the use of functions. 2. Most practical functions contain expressions of large constant term and large coefficients in magnitude while those are not in the descriptions of tektbooks, especially in case of using ruled papers. 3. For quadratic functions, most students do not detect the degree of the function from the data presented by pairs of values of x and y. And those are not dealt with in most of textbooks, which are given in the MIC textbook.

• International Journal of Quality Innovation
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• 제5권1호
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• pp.43-51
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• 2004

During process design or process optimization, it is quite common for experimenters to find optimum operating conditions for several responses simultaneously. The traditional multiresponse surfaces optimization methods do not consider the uncertain relationship among these responses sufficiently. For this reason, the authors propose an optimization method based on evidential reasoning theory by Dempster and Shafer. By maximizing the basic probability assignment function, which indicates the degree of belief that certain operating condition is the solution of this multiresponse surfaces optimization problem, the desirable operating condition can be found.

• International Journal of Advanced Culture Technology
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• 제6권4호
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• pp.262-265
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• 2018

Deep learning, a sub-field of machine learning changing the prospects of artificial intelligence (AI) because of its recent advancements and application in various field. Deep learning deals with algorithms inspired by the structure and function of the brain called artificial neural networks. This works reviews basic architecture and recent advancement of deep structured learning. It also describes contemporary applications of deep structured learning and its advantages over the treditional learning in artificial interlligence. This study is useful for the general readers and students who are in the early stage of deep learning studies.

• International Journal of Computer Science & Network Security
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• 제22권7호
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• pp.91-102
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• 2022

With the evolution of wireless sensor network (WSN) technology, the routing policy has foremost importance in the Internet of Things (IoT). A systematic routing policy is one of the primary mechanics to make certain the precise and robust transmission of wireless sensor networks in an energy-efficient manner. In an IoT environment, WSN is utilized for controlling services concerning data like, data gathering, sensing and transmission. With the advantages of IoT potentialities, the traditional routing in a WSN are augmented with decision-making in an energy efficient manner to concur finer optimization. In this paper, we study how to combine IoT-based deep learning classifier with routing called, Kriging Regressive Deep Belief Neural Learning (KR-DBNL) to propose an efficient data packet routing to cope with scalability issues and therefore ensure robust data packet transmission. The KR-DBNL method includes four layers, namely input layer, two hidden layers and one output layer for performing data transmission between source and destination sensor node. Initially, the KR-DBNL method acquires the patient data from different location. Followed by which, the input layer transmits sensor nodes to first hidden layer where analysis of energy consumption, bandwidth consumption and light intensity are made using kriging regression function to perform classification. According to classified results, sensor nodes are classified into higher performance and lower performance sensor nodes. The higher performance sensor nodes are then transmitted to second hidden layer. Here high performance sensor nodes neighbouring sensor with higher signal strength and frequency are selected and sent to the output layer where the actual data packet transmission is performed. Experimental evaluation is carried out on factors such as energy consumption, packet delivery ratio, packet loss rate and end-to-end delay with respect to number of patient data packets and sensor nodes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권2호
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• pp.703-722
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• 2016

Passive wireless devices have increasing civilian and military applications, especially in the scenario with wearable devices and Internet of Things. In this paper, we study indoor localization of a target equipped with radio-frequency identification (RFID) device in ultra-wideband (UWB) wireless networks. With known room layout, deterministic multipath components, including the line-of-sight (LOS) signal and the reflected signals via multipath propagation, are employed to locate the target with one transmitter and a single inaccurate receiver. A factor graph corresponding to the joint posterior position distribution of target and receiver is constructed. However, due to the mixed distribution in the factor node of likelihood function, the expressions of messages are intractable by directly applying belief propagation on factor graph. To this end, we approximate the messages by Gaussian distribution via minimizing the Kullback-Leibler divergence (KLD) between them. Accordingly, a parametric message passing algorithm for indoor passive localization is derived, in which only the means and variances of Gaussian distributions have to be updated. Performance of the proposed algorithm and the impact of critical parameters are evaluated by Monte Carlo simulations, which demonstrate the superior performance in localization accuracy and the robustness to the statistics of multipath channels.

• 한국보육지원학회지
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• 제9권2호
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• pp.97-115
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• 2013

본 연구에서는 Mihaly Csikszentmihalyi가 제시한 인지적, 정의적, 동기적 차원의 플로우 개념을 바탕으로, 어린이집 교사가 직업적 상황에서 경험하는 일 플로우를 측정하였다. 그리고 일 플로우가 어린이집교사의 역할갈등의 다양한 요인들과 어떠한 관계를 가지는지 분석해 보고자 하였다. 이를 위해 154명의 어린이집 교사들로부터 자료를 수집하였으며, 일 플로우 변수군(몰입, 즐거움, 내재적 동기)과 역할갈등 변수군(교사개인, 유아, 조직구성원, 학부모, 행정 및 업무지원, 장학, 사회적 인식) 간의 관계를 검증하고 각 개별변수들의 상호 영향력을 검증하기 위하여 정준상관분석을 실시하였다. 분석결과, 어린이집교사의 일 플로우와 역할갈등 변수군 간의 관계는 상호교호적인 한편, 일 플로우의 예측변수로서 역할갈등을 설정하는 인과관계모형의 가능성을 확인할 수 있었다. 그리고 어린이집교사의 일 플로우의 변수 중 몰입과 즐거움은 교사개인 및 장학관련 역할갈등과의 상호영향력이 높고, 즐거움은 행정 및 업무지원과 장학관련 역할갈등과의 상호영향력이 높음을 알 수 있었다. 연구결과를 바탕으로 관련 국내 외 연구와의 비교 및 이론적 논의점을 기술하였고, 어린이집교사의 개인적, 조직적 맥락의 다양한 변수를 고려한 플로우 연구의 필요성을 제안하였다.

• 품질경영학회지
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• 제21권2호
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• pp.140-155
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• 1993

The characteristics of $I_{\lambda}$-optimality, one of the linear criteria suggested by Fedorov (1972) are investigated with respect to the D-and heteroscedastic G-optimality in case of non-constant variance function. Though having limited results obtained from simple models, we may conclude that $I_{\lambda}$-optimality is sometimes preferred to the heteroscedastic G-optimality suggested newly bv Wong and Cook (1992) in the sense that the experimenter's belief in weighting function exists in $I_{\lambda}$-optimality criterion, not to mention its computational simplicity.

• 한국언어정보학회지:언어와정보
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• 제1권
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• pp.137-179
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• 1997

This paper discusses several basic issues of the 'focus' phenomenon. One of them is the issue of the nature of focus, i.e., what constituent of the sentences gets focused. Another is the issue of to what aspect of meaning the focus contributes. The other is the issue of the functions of focus-sensitive operators. As for the first issue, it is observed that the basic function of focus is to mark all and only the new information of the sentence. But for the cases in which this principle is not observed, it is proposed that the focus in these cases in general plays a secondary function of triggering an additional emphatic scalar meaning. And yet, in these cases, the state of the matter is different between free focus and bound focus. It is also shown that contrary to the general belief that free focus contributes to the meaning semantically. Concerning focus-sensitive operators, we classify them into two groups, i.e., quantificational and scalar operators, and try to formalize their meaning in the framework of Pulman's(1997) 'higher order unification theory'.

• 영어어문교육
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• 제11권2호
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• pp.149-170
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• 2005

The purpose of this paper is to make a sentence systemic within the category of structural grammar for the modality in which a speaker expresses his attitude. It is the priority of a language to communicate meaning. By eliminating the theoretical description of traditional grammar, this paper also aims to illustrate the concepts of nine modal verbs through a systemic network. The concept of modality includes both the epistemic and the deontic characteristics of modality. Epistemic modality is associated with either knowledge or belief on the part of a speaker who gives his own judgments about the state of affairs, events, or actions. However, deontic modality is related to either the possibility or the necessity of acts that a speaker performs to give permission or fulfill an obligation. In conclusion, all the subsystems are described within the framework of the systemic network, with the intention of including all the potential options of the semantic functions available in a situation.

• 산학경영연구
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• 제14권
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• pp.31-44
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• 2001

현대의 회계감사는 피 감사회사의 재무제표에 대하여 합리적인 확신을 요구하기 때문에 피 감사 회사의 재무제표에 대하여 정밀감사를 실시하여 감사의견을 표명하는 것이 아니라 중요성의 원칙에 따라 피 감사회사의 재무제표에 대하여 표본감사를 실시하는 것을 원칙으로 하고 있기 때문에 감사위험이 필연적으로 발생한다. 감사위험이란 피 감사회사의 재무제표가 중요하게 잘못 표시되어 있음에도 불구하고 적정하게 표시되어 있는 것으로 잘못 판단하는 경우와 반대로 재무제표가 적정하게 표시되어 있음에도 이를 적정하게 표시되어 있지 아니한 것으로 잘못 판단하여 감사범위를 확대하는 경우가 있다. 지금까지의 감사위험은 주로 AICPA의 SAS NO. 47에서 발표한 감사위험모형을 사용하여 왔어나 이 모형은 감사위험수준의 결정문제와 감사인의 판단과정을 적정하게 절명하지 못하는 등의 부정적인 견해가 대두되고 있다. 한편 Dempster-Shafer의 신념함수(belief functions)모형은 수학적 증거이론(Mathematical Theory of Evidence)에 기초하여 주어진 자료가 불충분하고 부정확한 상황하에서 보다 정확한 정보를 얻기 위한 문제들을 다루기 위한 수학적 기법들을 제공하여 불확실한 상황에서 판단의 정확성을 높일 수 있게된다. 이러한 신념함수모형을 사용하여 감사위험모형 보다 판단과정을 더 정확히 묘사하는 것으로 나타나고 있다. 따라서 본 연구는 재무제표의 신뢰성을 제고하고 감사의 유효성과 효율성을 높이기 위하여 감사 위험모형의 문제점을 알아보고 신념함수모형에 대한 이론과 기존연구를 고찰하여 신념함수모형을 제시하고자 한다.