• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2004년도 e-Biz World Conference
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• pp.134-149
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• 2004

This paper is aimed at proposing a fuzzy inference mechanism to enhancing the quality of cognitive map-based inference. Its main virtue lies in the two mechanisms： (1) a mechanism for avoiding a synchronization problem which is often observed during inference process with traditional cognitive map, and (2) a mechanism for fuzzifying decision maker's subjective judgment. Our proposed fuzzy inference mechanism (FIM) is basically based on the cognitive map stratification algorithm which can stratify a cognitive map into number of strata and then overcome the synchronization problem successfully. Besides, the proposed FIM depends on fuzzy membership function which is administered by decision maker. With an illustrative B2B negotiation problem, we applied the proposed FIM, deducing theoretical and practical implications. Implementation was conducted by Matlab language.

• 영재교육연구
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• 제19권2호
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• pp.261-277
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• 2009

이 논문은 인지메카니즘으로부터 도출된 새로운 영재에 대한 정의를 제시하고 있다. 그 메커니즘은 인지구성요소들이 기능적으로 어떻게 서로 관련되어 있고 어떻게 서로 협동적으로 작용하여 사회적 환경에 다양한 인지현상들을 창조해 내는가를 설명하고 있다. 저자는 보편적이고 통일된 정의를 위해서는 영재성이 사회적 문화적 상황에 존재하는 모든 인지현상들의 원인적 존재인 인간의 인지메카니즘에서 이해되어야 한다고 주장한다. 인지메카니즘에서 도출된 영재의 개념에 의하면 영재는 전체 세계에 대한 단순하고 근본적인 분야 통합적 지식을 형성하는 능력이다. 새로 도출된 영재의 개념에 따른 영재성 판별 방법도 제시했다.

• ETRI Journal
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• 제39권3호
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• pp.345-352
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• 2017

Traffic management is a highly beneficial mechanism for satisfying quality-of-service requirements and overcoming the resource scarcity problems in networks. This paper introduces an optimal connection admission control mechanism to decrease the packet loss ratio and end-to-end delay in cognitive radio sensor networks (CRSNs). This mechanism admits data flows based on the value of information sent by the sensor nodes, the network state, and the estimated required resources of the data flows. The number of required channels of each data flow is estimated using a proposed formula that is inspired by a graph coloring approach. The proposed admission control mechanism is formulated as a semi-Markov decision process and a linear programming problem is derived to obtain the optimal admission control policy for obtaining the maximum reward. Simulation results demonstrate that the proposed mechanism outperforms a recently proposed admission control mechanism in CRSNs.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2011년도 한국컴퓨터종합학술대회논문집 Vol.38 No.1(D)
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• pp.230-231
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• 2011

In this paper, we propose a rendezvous mechanism for cognitive radio networks. In this mechanism, no prior knowledge of wireless nodes is required and it is totally distributed. Node can simply choose one of two strategies to rendezvous with its neighbors. The main benefit of this mechanism is eliminating the use of common control channel and centralized controller.

• 한국영재학회:학술대회논문집
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• 한국영재학회 2005년도 춘계학술대회
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• pp.173-180
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• 2005

The purpose of this study was to identify common and domain-specific cognitive characteristics of gifted students based on a hierarchical structural model of human abilities. This study is based on the premise that abilities identified by tests can appear as observable characteristics in test or school situations. Abilities proposed by major models of intelligence were reviewed in terms of their power to explain cognitive characteristics of gifted students. However, due to the lack of their explanatory power and disagreement on common and domain-specific cognitive abilities, a new hierarchical structural model was conceptualized in a unique way based on interrelationships between abilities proposed by the models. The newly established model hypothesizes a cognitive mechanism that accounts for how domain-specific knowledge is formed, as well as which abilities are common and domain-specific, how they are related functionally, and how they account for common and domain-specific cognitive characteristics of gifted students. The cognitive mechanism has important implications for our understanding of the chronically controversial concepts, 'intelligence' and 'knowledge.' Clearer definitions of what intelligence is (g or multiple), what knowledge is, and how knowledge develops ('genetic or environmental,' 'rationalistic or empiricist') may result from this model.

• 영어어문교육
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• 제9권1호
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• pp.49-66
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• 2003

This paper explores the language acquisition mechanism within a recent theoretical nativist framework that assumes some computational principles. We will review previous accounts of the logical problem of language acquisition, arguing that language acquisition is part of general cognitive mechanism or at least associated with maturation of cognitive skills. For a theoretical framework, we will adopt the minimalist program and its principles. To support our theoretical argument, we will introduce empirical evidence from ESL (English as a Second Language) and SLI (Specific Language Impairment) data. The two types of data will illustrate that there might be some relationship between the development of language skills and that of the cognitive skills.

• 한국통신학회논문지
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• 제41권10호
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• pp.1236-1239
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• 2016

In this paper, we propose a new incentive mechanism for hybrid access in cognitive femtocell networks. The purpose of the proposed incentive mechanism is to guarantee the QoS of macro user equipments (MUEs) and to increase femtocell capacity. MUEs channel condition report triggers bidding procedure by neighbor femtocell base stations (FBS). Macro base station (MBS) can offer some subchannels as rewards to encourage FBSs to reliably support its MUEs. Simulation results validate the effectiveness of our proposed scheme.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권9호
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• pp.2101-2119
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• 2013

The spectrum allocation is an attractive issue for mobile cognitive radio (CR) network. However, the time-varying characteristic of the spectrum allocation is not fully investigated. Thus, this paper originally deduces the probabilities of spectrum availability and interference constrain in theory under the mobile environment. Then, we propose a prediction mechanism of the time-varying available spectrum lists and the dynamic interference topologies. By considering the node mobility and primary users' (PUs') activity, the mechanism is capable of overcoming the static shortcomings of traditional model. Based on the mechanism, two prediction-based spectrum allocation algorithms, prediction greedy algorithm (PGA) and prediction fairness algorithm (PFA), are presented to enhance the spectrum utilization and improve the fairness. Moreover, new utility functions are redefined to measure the effectiveness of different schemes in the mobile CR network. Simulation results show that PGA gets more average effective spectrums than the traditional schemes, when the mean idle time of PUs is high. And PFA could achieve good system fairness performance, especially when the speeds of cognitive nodes are high.

• 한국정보시스템학회지:정보시스템연구
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• 제28권4호
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• pp.1-25
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• 2019

Purpose The purpose of this study is to investigate cognitive mechanism of goal relations (Single-goal vs. Multiple-goals) and to-do list (Packing vs. Unpacking) and also verify the role of self-efficacy in the perspective of motivation belief. The perspective of cognitive mechanism is related to the effects of how the relations of multitasking environments affects to facilitating relation or conflicting relations. In pursuit of a single goal, judgement of task importance can be facilitated by unpacking effect due to relations of strongly associated project components including to-do list. On the other hands, in pursuit of multiple goals, judgement of task importance can be conflicted due to mutually exclusive relations of multiple goals. Additionally, the cognitive mechanism can be regulated from the role of self-efficacy, which contributes to motivation belief on how much a person is confident in achieving given tasks. In the end this research is to identify self-efficacy as boundary condition in inhibiting the effects of facilitation and conflict. Design/methodology/approach This study conducted Two-way ANOVA (Packing/ Unpacking * Single-goal/ Multiple-goals) to explore the effects of cognitive mechanism on task importance. After that we performed Three-way ANOVA, 2 (To-do list: Packing/ Unpacking) * 2 (Goal relation: Single-goal/ Multiple-goals) * 2 (Self-efficacy: Low self-efficacy/ High self-efficacy) to verify the role of self-efficacy between goal relations and to-do list. Findings In the cognitive mechanism, the task importance is not significantly different between in packed and in unpacked condition in pursuit of a single goal. But multitasking with multiple goals causes goal conflict, which means packed condition indicates significantly higher task importance than unpacked condition. Additionally, for a group with low self-efficacy unpacking leads to conflicting relation, which implies that packed condition is more efficient strategy than packed condition. On the other hands, in pursuit of mulitple goals, either packing or unpacking has no distinctive effects on task importance. However, participants with high self-efficacy are no longer affected by facilitating relation and conflicting relation as well in pursuit of either a single goal or multiple goals as well.

• 대한수학교육학회지:수학교육학연구
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• 제14권3호
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• pp.239-266
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• 2004

본 연구는 기존의 수학적 오류에 대한 연구들이 취했던 학생들의 현재 상태를 바탕으로 다양한 오류를 분석하는 방식이 아니라, 학생들의 문제해결과정에서 나타나는 수학적 오류를 인지심리학의 관점에서 분석가능한지를 탐색하는 것을 목적으로 한다. 이에, 본 연구는 Pauscal-Leone의 신피아제 이론을 중심으로 Schoenfeld의 구조 분석 단계(levels of analysis and structure)모형과 개념적, 인과적 관계의 이해를 형식화하는 도구로서 퍼지 인지 맵(Fuzzy Cognitive Map)을 활용하여 학생들의 증명 문제해결 과정에서 나타나는 오류를 분석하고 오도요인을 진단하였다. 연구 결과, 주어진 명제에서 정보를 해석할 때 F조작자가 강하게 활성화되어 나타나는 오도 요인으로 인하여 학생들은 증명에 필요한 개념노드를 충분하게 인출하지 못하거나 인과관계가 없는 개념노드를 나름대로 논리적으로 연결하여 잘못된 증명을 하고 있었다. 오류와 관련된 인지구조는 학생 나름대로의 논리적 알고리듬에 의한 LC 학습의 결과로 형성된 LC 학습구조로 볼 수 있다.