• Title/Summary/Keyword: Cognitive approach

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The Effects of Meta-cognition Strategy Task Training on Occupational Performance and High-Level Function of Chronic Stroke Patient with Cognitive Damage (인지손상을 동반한 만성 뇌졸중환자의 메타인지전략 과제훈련의 적용이 작업수행과 고위인지기능에 미치는 영향)

  • Han, Ga-ram;Kim, Gyu-Yong;Choi, Young-Eun;Ko, Tae-Sung
    • Journal of Korean Academy of Medicine & Therapy Science
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    • v.10 no.2
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    • pp.59-71
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    • 2018
  • Objective: The purpose of this study is to compare the effects of the CO-OP program using cognitive strategy on the satisfaction and high-level cognitive function of chronic stroke patients with cognitive impairment with the existing task-oriented approach training method. Method: The group randomly selects the experimental group and control group from 30 patients who suffer cognitive damage due to brain damage, and then randomly presents the Cognitive Orientation to daily Occupative Performance (CO-OP) Results: The results of the study showed a significant increase in patient performance and satisfaction, task performance, and high-level cognitive functions in comparison to those before training (p<).05) There was no significant difference in CNT testing in controls; Although there were no significant differences in overall CNT testing between the two groups, the COPM, AMPS tests showed a significant increase in the experimental group compared to the comparators (p <.05). Conclusion: The Cognitive Orientation to Daily Occupative Performance (CO-OP) Intervention Act, which uses meta-in strategies, was previously used. We were able to confirm that it could be a more effective intervention in task performance and high-level cognitive function than in the Meaningful Task-Specific Training Program (MTST).

An Experimental Implementation of a Cross-Layer Approach for Improving TCP Performance over Cognitive Radio Networks

  • Byun, Sang-Seon
    • Journal of Information Processing Systems
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    • v.12 no.1
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    • pp.73-82
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    • 2016
  • In cognitive radio networks (CRNs), the performance of the transmission control protocol (TCP) at the secondary user (SU) severely drops due to the mistrigger of congestion control. A long disruption is caused by the transmission of primary user, leading to the mistrigger. In this paper, we propose a cross-layer approach, called a CR-aware scheme that enhances TCP performance at the SU. The scheme is a sender side addition to the standard TCP (i.e., TCP-NewReno), and utilizes an explicit cross-layer signal delivered from a physical (or link) layer and the signal gives an indication of detecting the primary transmission (i.e., transmission of the primary user). We evaluated our scheme by implementing it onto a software radio platform, the Universal Software Radio Peripheral (USRP), where many parts of lower layer operations (i.e., operations in a link or physical layer) run as user processes. In our implementation, we ran our CR-aware scheme over IEEE 802.15.4. Furthermore, for the purpose of comparison, we implemented a selective ACK-based local recovery scheme that helps TCP isolate congestive loss from a random loss in a wireless section.

A review of cognitive orientation to daily occupational performance with stroke

  • Ahn, Si-Nae
    • Physical Therapy Rehabilitation Science
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    • v.6 no.4
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    • pp.202-207
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    • 2017
  • Objective: The self-decisions of the client regarding the meaningful work as a therapeutic approach of client-orientation. The Cognitive Orientation to daily Occupational Performance (CO-OP) is an occupation-oriented problem-solving approach. The purpose of this study was to describe the goals and intervention protocols of CO-OP in those affected by stroke. Design: A systematic review. Methods: Using EBSCOhost, PubMed, and ProQuest databases, we searched studies published in the past decade that utilized the CO-OP intervention. An initial search revealed 71,171 potential articles. After applying our search criteria to screen the titles, abstracts, and full-text, we included 7 articles that met our inclusion and exclusion criteria. In this study, we used the patient, intervention(s), comparison, outcome method to analyze the 7 selected studies. We analyzed the frequency of goals and intervention protocols. Results: Seven articles met our selection criteria; these studies included participants with an almost normal cognitive function from inpatient and outpatient rehabilitation facilities. CO-OP was used for 237 goals; the most used goal was the instrumental activities of daily living. The training procedure used 3 types of self-selecting goals in the activities. One of the goals was not trained, but was only evaluated to determine the generation effect. The most common outcome measurements included the Canadian Occupational Performance Measure and the Performance Quality Rating Scale. Conclusions: This research provided information about the effectiveness of CO-OP and selecting the correct evaluation tool to assess the efficiency of the intervention. This study suggests that treatment with CO-OP in occupational therapy is effective and that it outlines common protocols.

Multi-Mode Precoding Scheme Based on Interference Channel in MIMO-Based Cognitive Radio Networks

  • Jung, Minchae;Hwang, Kyuho;Choi, Sooyong
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.07a
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    • pp.137-140
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    • 2011
  • A precoding strategy is one of the representative interference management techniques in cognitive radio (CR) network which is a typical interference-limited environment. The interference minimization approach to precoding is an appropriate scheme to mitigate the interference efficiently while it may cause the capacity loss of the desired channel. The precoding scheme for the maximal capacity of the desired channel improves the capacity of the desired channel while it increases the interference power and finally causes the capacity loss of the interfered users. Therefore, we propose a precoding scheme which satisfies these two conflicting goals and manages the interference signal in such an interference-limited environment. The proposed scheme consists of two steps. First, the precoder nulls out the largest singular value of the interference channel to mitigate the dominant interference signal based on the interference minimization approach. Second, the transmitter calculates the sum capacities per mode and selects a mode to maximize the sum capacity. In the second step, each mode consists of the right singular vectors corresponding to the singular values except the largest singular value eliminated in the first step. Simulation results show that the proposed precoding scheme not only efficiently mitigate the interference signal, but also has the best performance in terms of the sum capacity in a MIMO-based CR network.

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Modeling of Public Risk Perception and Risk Communication Research: In A Social-Cognitive Direction

  • Li, Yiwei;Guo, Yu;Ito, Naoya
    • Asian Journal for Public Opinion Research
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    • v.1 no.3
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    • pp.217-231
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    • 2014
  • This study begins with a review of commonly discussed dimensions of public risk perception that may influence public opinion toward risks. Factors that have been revealed by the literature to have substantial impact on risk perception, such as demographic background, trust, and media environment, are also discussed. Meanwhile, we evaluate two well-known research models in the realm of risk analysis: 1) the psychometric paradigm, and 2) the social amplification of risk framework (SARF). Based on a literature review, this study suggests that, besides the psychological and social approach, models of risk perception and risk communication research should shift to a more comprehensive one by considering the interrelations between laypeople and the environment. This study proposes a research model from the perspective of social cognitive theory (SCT) as a potential framework for future studies: 1) in the societal environment, individuals' risk perception and information seeking behavior, which is determined by risk perception will be influenced by trust in regulators and interpersonal trust; 2) in the media environment, individuals' risk perception and information seeking behavior will be influenced by individuals' perceived information characteristics. Knowledge about risk accumulated through information seeking will change risk perception in a longitudinal process.

Learning Automata Based Multipath Multicasting in Cognitive Radio Networks

  • Ali, Asad;Qadir, Junaid;Baig, Adeel
    • Journal of Communications and Networks
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    • v.17 no.4
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    • pp.406-418
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    • 2015
  • Cognitive radio networks (CRNs) have emerged as a promising solution to the problem of spectrum under utilization and artificial radio spectrum scarcity. The paradigm of dynamic spectrum access allows a secondary network comprising of secondary users (SUs) to coexist with a primary network comprising of licensed primary users (PUs) subject to the condition that SUs do not cause any interference to the primary network. Since it is necessary for SUs to avoid any interference to the primary network, PU activity precludes attempts of SUs to access the licensed spectrum and forces frequent channel switching for SUs. This dynamic nature of CRNs, coupled with the possibility that an SU may not share a common channel with all its neighbors, makes the task of multicast routing especially challenging. In this work, we have proposed a novel multipath on-demand multicast routing protocol for CRNs. The approach of multipath routing, although commonly used in unicast routing, has not been explored for multicasting earlier. Motivated by the fact that CRNs have highly dynamic conditions, whose parameters are often unknown, the multicast routing problem is modeled in the reinforcement learning based framework of learning automata. Simulation results demonstrate that the approach of multipath multicasting is feasible, with our proposed protocol showing a superior performance to a baseline state-of-the-art CRN multicasting protocol.

Differential Game Theoretic Approach for Distributed Dynamic Cooperative Power Control in Cognitive Radio Ad Hoc Networks

  • Zhang, Long;Huang, Wei;Wu, Qiwu;Cao, Wenjing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.10
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    • pp.3810-3830
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    • 2015
  • In this paper, we investigate the differential game theoretic approach for distributed dynamic cooperative power control in cognitive radio ad hoc networks (CRANETs). First, a payoff function is defined by taking into consideration the tradeoff between the stock of accumulated power interference to the primary networks and the dynamic regulation of the transmit power of secondary users (SUs). Specifically, the payoff function not only reflects the tradeoff between the requirement for quickly finding the stable available spectrum opportunities and the need for better channel conditions, but also reveals the impact of the differentiated types of data traffic on the demand of transmission quality. Then the dynamic power control problem is modeled as a differential game model. Moreover, we convert the differential game model into a dynamic programming problem to obtain a set of optimal strategies of SUs under the condition of the grand coalition. A distributed dynamic cooperative power control algorithm is developed to dynamically adjust the transmit power of SUs under grand coalition. Finally, numerical results are presented to demonstrate the effectiveness of the proposed algorithm for efficient power control in CRANETs.

GBNSGA Optimization Algorithm for Multi-mode Cognitive Radio Communication Systems (다중모드 Cognitive Radio 통신 시스템을 위한 GBNSGA 최적화 알고리즘)

  • Park, Jun-Su;Park, Soon-Kyu;Kim, Jin-Up;Kim, Hyung-Jung;Lee, Won-Cheol
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.3C
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    • pp.314-322
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    • 2007
  • This paper proposes a new optimization algorithm named by GBNSGA(Goal-Pareto Based Non-dominated Sorting Genetic Algorithm) which determines the best configuration for CR(Cognitive Radio) communication systems. Conventionally, in order to select the proper radio configuration, genetic algorithm has been introduced so as to alleviate computational burden along the execution of the cognition cycle proposed by Mitola. This paper proposes a novel optimization algorithm designated as GBNSGA for cognitive engine which can be described as a hybrid algorithm combining well-known Pareto-based NSGA(Non-dominated Sorting Genetic Algorithm) as well as GP(Goal Programming). By conducting computer simulations, it will be verified that the proposed method not only satisfies the user's service requirements in the form of goals. It reveals the fast optimization capability and more various solutions rather than conventional NSGA or weighted-sum approach.

Relationships between the sensory, cognitive and physical functions of young-old and old-old individuals (전·후기 노인들의 감각기능, 인지기능과 신체기능 간의 관련성)

  • Jeon, So-Youn;Lee, Sok-Goo
    • Korean Journal of Health Education and Promotion
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    • v.33 no.5
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    • pp.23-36
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    • 2016
  • Objectives: This study aims to define the relationships between the sensory, cognitive and physical functions of young-old and old-old individuals. Methods: Participants were 10,451 elderly individuals aged 65 and above, raw data of a 2014 National Survey on Korean Older Persons was used. To investigate the relationships among the sensory, cognitive, and physical functions, a structural equation model was used. Results: The key analysis results are summarized as follows; 5% had poor vision function(young-old 3.5%, old-old 7.1%), 3.8% had poor auditory function(young-old 1.7%, old-old 6.7%), 33.0% had decline in cognitive function(young-old 30.9%, old-old 35.7%), 3.6% were disabled(young-old 1.6%, old-old 6.3%) and cognitive function influences physical function more greatly than does sensory function. Additionally, in the young-old groups, vision among sensory functions, attention among cognitive functions, and IADL among physical functions, turned out to be the most influential. However, in the old-old groups, auditory function among sensory functions, orientation among cognitive functions, and IADL among physical functions, turned out to be the most influential. Conclusions: This study implies that functions in the young-old and old-old individuals must be considered with all three functions-sensory, cognitive, and physical-together at the same time and that this comprehensive approach is necessary in national policy making.

An interaction between cognitive ability and personality on the performance of computer-based group idea generation

  • Jung, Joung-Ho
    • The Journal of Information Systems
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    • v.29 no.2
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    • pp.265-286
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    • 2020
  • Purpose Among various psychosocial factors, negative social comparison, attention blocking to stimuli, and cognitive interference via information overload are considered most critical in hindering the effective performance improvement of computer-based idea generation. Given that the effect of negative social comparison along with a plausible solution based on the notion of performance feedback and goal setting has been successfully addressed, this study focused on the remaining issues of "attention blocking to stimuli and cognitive interference via information overload" and attempted to find a way to alleviate the effect of such process losses on performance. Design/methodology/approach A 2 × 4 between-subjects design was used, crossing cognitive ability (high and low) and personality (extroversion and introversion). Five subjects per each treatment were randomly selected to make the sample size equal. The group simulator was used to measure individual-level performance. The dependent variables were the quantity of and quality score of ideas. The manner by which these performance measures were operationalized was consistent with prior studies. An additional analysis using the number of diverse ideas was also conducted. Findings Three arguments were made in this study: (1) high cognitive individuals would perform better than low cognitive individuals, (2) extraverted individuals would perform better than introverted individuals, and (3) cognitive ability and personality would interact such that individuals in Q1 would have the highest performance. Cognitive ability had an effect on quality not quantity. Personality had an effect on both quantity and quality. An interaction between cognitive ability and personality was not found due to small sample size despite the use of the group simulator.