• Journal of Electrical Engineering and Technology
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• 제7권4호
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• pp.636-645
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• 2012

This study introduces an information granular-based fuzzy radial basis function neural networks (FRBFNN) based on multiobjective optimization and weighted least square (WLS). An improved multiobjective space search algorithm (IMSSA) is proposed to optimize the FRBFNN. In the design of FRBFNN, the premise part of the rules is constructed with the aid of Fuzzy C-Means (FCM) clustering while the consequent part of the fuzzy rules is developed by using four types of polynomials, namely constant, linear, quadratic, and modified quadratic. Information granulation realized with C-Means clustering helps determine the initial values of the apex parameters of the membership function of the fuzzy neural network. To enhance the flexibility of neural network, we use the WLS learning to estimate the coefficients of the polynomials. In comparison with ordinary least square commonly used in the design of fuzzy radial basis function neural networks, WLS could come with a different type of the local model in each rule when dealing with the FRBFNN. Since the performance of the FRBFNN model is directly affected by some parameters such as e.g., the fuzzification coefficient used in the FCM, the number of rules and the orders of the polynomials present in the consequent parts of the rules, we carry out both structural as well as parametric optimization of the network. The proposed IMSSA that aims at the simultaneous minimization of complexity and the maximization of accuracy is exploited here to optimize the parameters of the model. Experimental results illustrate that the proposed neural network leads to better performance in comparison with some existing neurofuzzy models encountered in the literature.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제21권3호
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• pp.147-152
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• 2010

Objectives : The purpose of this study was to investigate the deficits in executive function in children with ADHD and anxiety disorder, and further, to characterize executive function deficits among the two groups. Methods : Subjects consisted of 60 children between the ages of 5 and 14 (16 Normal, 24 ADHD, 20 Anxiety Disorder). Neuropsychological tests (KEDI-WISC, CCTT, STROOP, WCST, ROCF) for assessing cognitive and executive function were individually administered to all subjects. Results : There were no significant differences in FSIQ or PIQ among the three groups. However, the ADHD group tended to score lower on the VIQ and subtest of similarity, vocabulary, and digit span tests. The three groups did not significantly differ with respect to CCTT test results. On the STROOP test, the ADHD group showed poor performance on the word, color, and color-word subtests. The three groups did not exhibit significant differences in WCST test results ; however, the anxiety group performed poorly belonging to below 25 percentile rank on perseverative response. On the ROCF test, the ADHD group performed poorly with respect to their organization score and in particular, regarding copy and immediate recall. The anxiety group also performed poorly with regard to organization ; however, this was limited only to immediate recall. Conclusion : Children with ADHD displayed poor inhibition and organizational abilities compared to children with anxiety and normal controls. Further, children with anxiety disorder exhibited low cognitive flexibility and voluntary problem-solving abilities compared to ADHD children and normal controls. Based on these results, we suggest that the characteristics of executive dysfunction in ADHD and anxiety disorder in children are different.

• 전자공학회논문지C
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• 제36C권2호
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• pp.26-36
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• 1999

본 논문에서는 ATM을 기반으로 구축된 망에서 다양한 서비서 품질(QoS : quality of service)을 가진 데이터를 셀 손실이나 셀 지연의 관점에서 적절한 처리를 수행함으로써 망 자원을 최대한 활용하고 보다 신뢰성 있는 서비스를 제공하기 위하여 OAM 성능관리 기능의 개선 방안을 제안하였다. 또한, 수시로 변화하는 망의 성능정보를 주기적으로 검출함으로써 융통성과 정밀한 제어가 요구되는 망사이의 연관제어 및 운용, 관리기술을 향상시킬 수 있도록 OAM 셀에 특별 셀 영역을 정의하였다. 제안된 OAM 기능과 셀의 입 . 출력 기능, 메모리나 CPU 같은 주변 소자와의 인터페이스 기능 등을 ASIC으로 설계하였다. 설계된 Chip은 Cadence의 Verilog-XL 시뮬레이터를 이용하여 Back-end 시뮬레이션을 수행한 결과 $2{\mu}s$내에 정확한 제어를 수행하였다.

• 대한통합의학회지
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• 제8권3호
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• pp.21-31
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• 2020

Purpose : The purpose of this study was to determine the effects of a cognitive-exercise program using step on the cognitive function, gait, and depression of elderly with mild cognitive impairment. Methods : The subjects comprised 30 elderly people with mild cognitive impairment who used elderly welfare centers in the provinces A, B, and C between March 21 and June 7, 2019. They were divided into an experimental group (n=15) and a control group (n=15) before undergoing an experiment based on a pretest-posttest control group design. The lowenstein occupational therapy cognitive assessment-geriatric population was used to assess the subjects' cognitive function, while the 4-stage balance test, 30-second chair-stand test, timed up & go test, and functional reach test were employed to evaluate their gait. In addition, the beck depression inventory was used to measure their levels of depression. Results : The cognitive-exercise program using step enhanced the subjects' cognitive function and gait and reduced their levels of depression. Furthermore, statistically significant differences were found between the experimental group and the control group. Conclusion : The cognitive-exercise program using step promoted the process of sensorimotor and cognition through the learning process of various steps taking left and right steps and cognitive activities. It improves gait by activating the coordination of the musculoskeletal and nervous systems of the body and positively affecting posture control, balance, flexibility, and lower extremity muscles. It also relieved depression by performing successful step learning and cognitive activities with forward-looking (doing) that leads to pleasure and achievement. The present study confirmed the value of a cognitive-exercise program using step to treat multiple domains of functional decline in elderly patients with mild cognitive impairment. This is therefore proposed as an intervention program for this patient group.

• 한국전자통신학회논문지
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• 제8권9호
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• pp.1399-1405
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• 2013

본 연구는 아쿠아 운동프로그램이 노인들의 신체 조성과 운동기능, 삶의 질 및 자아존중감에 미치는 영향을 알아보기 위하여 2011년 2월 1일부터 2012년 1월 31일까지 전라남도 G 군에 거주하는 65세 이상의 여성 31명을 대상으로 주 1회, 회당 1시간으로 1년간 적용하였다. 운동프로그램 전과 후에 건강관련 요소를 측정한 결과 장기간의 아쿠아 운동프로그램을 통해 신체조성(체중, 체지방량, 체지방율), 운동기능(유연성, 균형, TUG, 배근력) 및 삶의 질과 자아존중감이 통계적으로 유의한 변화 및 증가가 있었다. 이상의 결과를 통해 농촌지역 노인여성의 신체조성, 운동기능, 삶의 질 및 자아존중감 향상을 위해 지속적인 아쿠아 운동프로그램이 필요할 것으로 생각된다.

• 대한통합의학회지
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• 제12권1호
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• pp.83-96
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• 2024

Purpose : This study was conducted to determine the effects of a brain spinning program on cognitive function, body composition, health related fitness and physical self-efficacy of children and adolescents. Methods : This study, 34 children and adolescents were selected and divided into two groups : the exercise group (n=16), which received a brain spinning program and the control group (n=16), which did not receive any exercise program. The program was conducted for 30 minutes three times a week for 4 weeks, and the cognitive function, body composition, health related fitness and physical self-efficacy were measured both before and after the program. Results : The exercise group, which received a brain spinning program showed a significant increase in short-term memory (p<.05) and working memory (p<.01), and muscle mass increased significantly only in the exercise group (p<.05). In addition, left grip strength increased in the exercise group (p<.01), and the maximum oxygen intake decreased significantly only in the control group (p<.05), and Sit-forward bend increased significantly only in the exercise group (p<.01). Physical self-efficacy significantly increased only in the exercise group (p<.05). Conclusion : In summary, short-term memory, cognitive efficiency, working memory, muscle mass, left grip strength, maximum oxygen intake, and left forward bending in children and adolescents significantly increased after the 4-week brain spinning program. However, the control group that was not provided with the 4-week brain spinning program showed a significant increase in body weight and a significant decrease in maximum oxygen intake. In conclusion, the 4-week brain spinning program has positive effects on short-term memory, cognitive function, muscle mass, muscle strength, cardiorespiratory endurance, flexibility, and physical self-efficacy.

• 한국콘텐츠학회논문지
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• 제13권3호
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• pp.381-391
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• 2013

본 연구의 목적은 70세 이상의 여성고령자들에게 재가운동 프로그램(home support exercise program)을 16주간 주3회씩 실시하여 생활기능 체력과 건강관련 삶의 질(SF-36)에 대한 주관적 평가에서의 변화를 살펴보고자 하였다. 실험군(총17명, 평균나이:79.4)과 통제군(총17명, 평균나이:80.7)은 부산시 연제구에 거주하며 신체적 외상이나 거동에 불편함이 없고, 연구 참여에 동의한 여성 고령자로 구성하였다. SAS 9.2 통계 패키지를 활용하여 집단간 기술통계와 동일성 검증 및 사전측정을 공변량으로 한 공분산 분석을 실시하였다. 그 결과는 다음과 같다. 첫째, 실험군이 통제군에 비해 덤벨 들기, 일어섰다 앉기, 2.24m 왕복달리기, 2분간 제자리 걷기 항목에서 통계적으로 유의하게(p<.001) 증가한 것으로 나타났다. 둘째, 유연성을 측정하는 등 뒤 손잡기 항목에서는 실험군에서 유의할 만한 변화가 없는 것으로 제시되었다. 이러한 점은 재가운동프로그램에 유연성을 향상시킬 수 있는 운동항목을 추가하여 보완할 필요성이 있음을 시사하는 것이었다. 셋째, SF-36을 통한 건강관련 삶의 질에 대한 주관적 평가에서는 8개의 모든 하위요인에서 실험군과 통제군간에 유의할 만한 차이가 없는 것으로 제시되었다. 다만 통증과 활력 하위요인에서 운동을 처방받은 실험군이 통제군에 비해 p<.10 수준에서 향상된 것으로 나타나 긍정적인 변화를 미세하게 시사하였다.

• Structural Engineering and Mechanics
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• 제67권5호
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• pp.439-455
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• 2018

Within a probabilistic framework, this paper addresses the determination of the static structural response of beams and frames with partially restrained (semi-rigid) connections. The flexibility of the nodal connections is incorporated via an idealized linear-elastic behavior of the beam constraints through the use of rotational springs, which are here considered uncertain for taking into account the largely scattered results observed in experimental findings. The analysis is conducted via the Probabilistic Transformation Method, by modelling the spring stiffness terms (or equivalently, the fixity factors of the beam) as uniformly distributed random variables. The limit values of the Eurocode 3 fixity factors for steel semi-rigid connections are assumed. The exact probability density function of a few indicators of the structural response is derived and discussed in order to identify to what extent the uncertainty of the beam constraints affects the resulting beam response. Some design considerations arise which point out the paramount importance of probability-based approaches whenever a comprehensive experimental background regarding the stiffness of the beam connection is lacking, for example in steel frames with semi-rigid connections or in precast reinforced concrete framed structures. Indeed, it is demonstrated that resorting to deterministic approaches may lead to misleading (and in some cases non-conservative) outcomes from a design viewpoint.

• 한국통신학회논문지
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• 제36권5B호
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• pp.557-565
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• 2011

본 논문에서 고려하는 선박USN 환경에서는 선박의 특수성으로 인해 멀티홉으로 구성되며 선박의 안전운항과 관련된 센서 노드들은 센싱될 위치에 배치가 완료되면 이동할 필요 없어지게 되므로 고정이 되며, 센서노드 모두 FFD(Full Function Device)로 구성 된다고 가정하였다. 무선 센서 네트워크는 고정된 인프라의 도움이 없이 이동 노드만으로 구성된다. 이는 네트워크의 융통성을 높일 수 있지만 센서 노드의 멤버로서의 자유로운 참여와 이탈 또는 전력소모로 인하여 네트워크의 라우팅에 어려움이 발생하게 된다. 본 논문에서는 선박USN 환경의 고정된 센서 네트워크에서 비트맵과 클러스터 방식의 라우팅을 혼합한 알고리즘을 제안하고 모의실험을 통해 제안한 알고리즘의 타당성을 보였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1505-1509
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• 2005

This paper introduces a new architecture of genetically optimized self-organizing fuzzy polynomial neural networks by means of information granulation. The conventional SOFPNNs developed so far are based on mechanisms of self-organization and evolutionary optimization. The augmented genetically optimized SOFPNN using Information Granulation (namely IG_gSOFPNN) results in a structurally and parametrically optimized model and comes with a higher level of flexibility in comparison to the one we encounter in the conventional FPNN. With the aid of the information granulation, we determine the initial location (apexes) of membership functions and initial values of polynomial function being used in the premised and consequence part of the fuzzy rules respectively. The GA-based design procedure being applied at each layer of genetically optimized self-organizing fuzzy polynomial neural networks leads to the selection of preferred nodes with specific local characteristics (such as the number of input variables, the order of the polynomial, a collection of the specific subset of input variables, and the number of membership function) available within the network. To evaluate the performance of the IG_gSOFPNN, the model is experimented with using gas furnace process data. A comparative analysis shows that the proposed IG_gSOFPNN is model with higher accuracy as well as more superb predictive capability than intelligent models presented previously.