• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.2
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• pp.126-138
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• 2012

The purpose of this study is to evaluate the imbalance of green space using various spatial analysis methods and to establish the management zone for green space with service supply in the aspect of its use in Daegu. The total green space of Daegu is 48,936.1ha which is the second among 7 metropolitan cities of Korea. According to the imbalance analysis of green space, the Gini's coefficient based on the area was not high, on the other hand, the Gini's coefficient based on the population was high by above 0.6. According to an evaluation of service supply of green space in Dalseo-gu, the area within about 100m around large green space was supplied with green spaces of above $25m^2$/pop. On the other hand, the area such as Sangin, Jukjeon, and Yongsan was not almost supplied with green space. Finally, 'Rich zone', 'Fair zone', 'Poor zone', and Broken zone' could be established based on the service supply for the management direction of green space. The findings from this study can be used as the basic data for selecting the construction priority of new green spaces.

• Journal of Technologic Dentistry
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• v.17 no.1
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• pp.82-108
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• 1995

인력은 한 사회에 있어서 자본을 축적하며 자연자원을 개발하고 사회 경제 정치적 조직을 성장시키는 변화요인으로, 인간을 중심으로 하는 사회경제적 자원을 종합적으로 지칭하는 말이다. 이렇게 국가 사회가 필요로 하는 인력을 정부가 적절히 계획하여, 형성시키며, 배분 및 활용하는 문제를 논리적이고 일관성 있게 다루는 것을 인력정책이라 한다. 이러한 거시적이고 대 사회적인 정부의 인력정책은 국민의 건강과 생명을 보호하기 위한 보건의료 서비스를 제공해야 하는 의료인력을 대상으로 하는 경우 그 중요성이 더욱 특별하다 할 것이다. 국민에 대한 보건의료 서비스는 훈련된 보건 인력에 의해서 제공되며, 국가의 인력정책의 결과로 나타나는 보건의료인력 공급의 적합성은 인력의 불균형이라는 개념들을 통해서 검토될 수 있다. 의료인력의 불균형이라 함은 의료인력의 수, 종류, 기능, 분포, 질 등과 의료서비스에 대한 국민의 전체적 요구에 대응하여 정부가 생산하여 채용, 지원, 유시할 수 있는 정부 능력의 한계를 의미한다. 다시 말해서 국민에 대한 의료서비스의 적정화는 잘 훈련된(well qualified) 의료인력이 충분히 공급되어야(adequately supplied) 하고, 또한 적절히 분포되어야(well distributed) 한다는 양적, 질적, 그리고 분포의 세 가지 측면에서 살펴볼 수 있다. 질적, 양적, 그리고 분포의 불균형이라는 범주를 통하여 살펴본 치과기공사 분야의 인력정책에 대한 연구 결과와 개선방안은 다음과 같다. 첫째, 수적 불균형의 면에서 치과기공사의 인력은 1970년대 중반이래 계속 과잉 공급되어 왔으며, 이에 대해 정부는 그동안 소극적으로 대처하므로 과잉공급을 가속시켜왔다. 따라서 이러한 과잉공급을 최소하기 위해서는 치과이용에 대한 수요의 확장, 무면허자의 취업규제단속 및 대학의 치과기공학과 정원 축소 등을 생각해 볼 수 있다. 이러한 외형상의 과잉공급에도 불구하고 현업에 종사하는 실제인력은 수용에 비해 부족한 과소 공급현상을 빚고 있다는 점이 문제이다. 이러한 역설적인 현상을 타파하기 위하여 무면허자의 적발을 위시한 제도적 장치가 마련되어야 한다. 둘째, 질적 불균형은 수적 과잉공급에 의한 취업률 저하로 인한 실력 있는 전문인력 확보의 어려움과 전문 교육인력 및 교육시설의 열악한 조건이 원인으로 지적될 수 있으며, 이에 대한 해결방안으로 적절한 인력수요의 조절과 교육인력 및 시설 여건의 향상이 요망된다. 예컨대 3년제로 되어있는 학제를 4년제로 상향조정하는 방안을 고려할 수 있다. 세째, 치과기공사 분야의 인력분포 불균형은 그다지 심각하지는 않은 것으로 나타난다. 그러나 변화하는 소득수준과 사회환경은 의료인력과 균등한 지역적 분포에 대해 지속적인 관심을 가질것을 요청한다고 할 것이다. 이를 위하여 현재의 공중보건의 제도처럼 치기공 분야의 인력을 무의촌지역에 배치하여 공익요원으로 봉사케 하는 제도를 생각해 볼 수 있다.

• The Journal of the Korea Contents Association
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• v.18 no.8
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• pp.525-535
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• 2018

If the frequency of a particular class is excessively higher than the frequency of other classes in the classification problem, data imbalance problems occur, which make machine learning distorted. Corporate bankruptcy prediction often suffers from data imbalance problems since the ratio of insolvent companies is generally very low, whereas the ratio of solvent companies is very high. To mitigate these problems, it is required to apply a proper sampling technique. Until now, oversampling techniques which adjust the class distribution of a data set by sampling minor class with replacement have popularly been used. However, they are a risk of overfitting. Under this background, this study proposes ROSE(Random Over Sampling Examples) technique which is proposed by Menardi and Torelli in 2014 for the effective corporate bankruptcy prediction. The ROSE technique creates new learning samples by synthesizing the samples for learning, so it leads to better prediction accuracy of the classifiers while avoiding the risk of overfitting. Specifically, our study proposes to combine the ROSE method with SVM(support vector machine), which is known as the best binary classifier. We applied the proposed method to a real-world bankruptcy prediction case of a Korean major bank, and compared its performance with other sampling techniques. Experimental results showed that ROSE contributed to the improvement of the prediction accuracy of SVM in bankruptcy prediction compared to other techniques, with statistical significance. These results shed a light on the fact that ROSE can be a good alternative for resolving data imbalance problems of the prediction problems in social science area other than bankruptcy prediction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.431-440
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• 2017

The purpose of this study was to investigate the effects of Iyengar yoga practice on the lower body imbalance in middle-aged women. The subjects (n=24), who had not performed yoga training prior to this study (and) were not attending any other training programs, participated after undergoing an X-RAY examination with the Gonstead Technique and then their lower body imbalance (was reevaluated). The subjects completed the yoga program for 12 weeks (3 times per week, 90 minutes per session). The data were analyzed with the paired t-test and alpha was set at 0.05. It was found that 1) the height differences between the right and left iliac crests (p < 0.001), width (p < 0.001) and length (p < 0.001) differences between the right and left iliac fossa, and width differences between the right and left sacrum (p < 0.001) were significantly reduced after the training program. In addition, 2) the lower limb length discrepancy was significantly reduced (p < 0.001). Our data suggest that Iyengar yoga training for 12 weeks reduces the pelvic imbalance and length differences between the right and left lower limbs in middle-aged females.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.21 no.11
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• pp.1275-1284
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• 2010

100 MHz bandwidth and 1 Gbit/s data speed are needed in LTE-advanced for the next generation mobile communication system. Therefore, spectrum aggregation method has been studied recently to extend usable frequency bands. Also bandwidth utilization is increased since vacant frequencies are used to communicate. However, transceiver structure requires the digital RF and SDR. Therefore, frequency synthesizer and PA must operate over wide-bandwidth and RF impairments also increases in transceiver. Uplink of LTE advanced uses DFT-S OFDM using plural power amplifier. The effect of ICI increases in frequency domain of receiver due to phase noise and IQ imbalance. In this paper, we analyze influences of ICI in frequency domain of receiver considering phase noise and IQ imbalance in multiband system. Also, we separate phase noise and IQ imbalance effect from channel response in frequency domain of uplink system. And we propose a method to estimate the channel exactly and to compensate IQ imbalance and phase noise. Simulation result shows that the proposed method achieves the 2 dB performance gain of BER=$10^{-4}$.

• The KIPS Transactions:PartB
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• v.14B no.4
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• pp.287-294
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• 2007

Many classification algorithms for real world data suffer from a data class imbalance problem. To solve this problem, various methods have been proposed such as altering the training balance and designing better sampling strategies. The previous methods are not satisfy in the distribution of the input data and the constraint. In this paper, we propose a focused sampling method which is more superior than previous methods. To solve the problem, we must select some useful data set from all training sets. To get useful data set, the proposed method devide the region according to scores which are computed based on the distribution of SOM over the input data. The scores are sorted in ascending order. They represent the distribution or the input data, which may in turn represent the characteristics or the whole data. A new training dataset is obtained by eliminating unuseful data which are located in the region between an upper bound and a lower bound. The proposed method gives a better or at least similar performance compare to classification accuracy of previous approaches. Besides, it also gives several benefits : ratio reduction of class imbalance; size reduction of training sets; prevention of over-fitting. The proposed method has been tested with kNN classifier. An experimental result in ecoli data set shows that this method achieves the precision up to 2.27 times than the other methods.

• Analyses & Alternatives
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• v.7 no.1
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• pp.45-81
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• 2023

This paper examines how Korean economy has been asymmetrically changed after economics crises. The three crises during the last three decades, covid19, global financial crisis, and currency crisis, have deteriorated the economic inequalities of Korea in various ways. First, manufacture industry has been affected larger by economic crises, but recovered fast. The shocks in service sector were small but persist longer or were permanent. Second, although the covid19 spreaded out more to the capital area, the negative economic shock was greater in the non-capital region. That is, the crisis in the capital region transferred or amplified to the other region. Third, the inequality between permanent and temporary workers became worse after crises. Fourth, the sluggish small business growth problem became more serious during the covid19. In order to overcome the industrial and labor inequality, it is desirable to government strategy for economic development from focusing on high value-added industry to a balanced growth for all industry and region. To this end, governemt support should be asymmetric. That is, it should focus on indirect support such as regulatory reforms in the high value-added and private-led industries, and, for small business related service sector and non-capital region which have had limited opportunity of renovation and growth, the more active effort of government and government-driven gowth strategy would be desirable.

• Information Systems Review
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• v.24 no.4
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• pp.97-118
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• 2022

As generative adversarial network (GAN) based oversampling techniques have achieved impressive results in class imbalance of unstructured dataset such as image, many studies have begun to apply it to solving the problem of imbalance in structured dataset. However, these studies have failed to reflect the characteristics of structured data due to changing the data structure into an unstructured data format. In order to overcome the limitation, this study adapted CycleGAN to reflect the characteristics of structured data, and proposed hybridization of synthetic minority oversampling technique (SMOTE) and the adapted CycleGAN. In particular, this study tried to overcome the limitations of existing studies by using a one-dimensional convolutional neural network unlike previous studies that used two-dimensional convolutional neural network. Oversampling based on the method proposed have been experimented using various datasets and compared the performance of the method with existing oversampling methods such as SMOTE and adaptive synthetic sampling (ADASYN). The results indicated the proposed hybrid oversampling method showed superior performance compared to the existing methods when data have more dimensions or higher degree of imbalance. This study implied that the classification performance of oversampling structured data can be improved using the proposed hybrid oversampling method that considers the characteristic of structured data.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10c
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• pp.624-626
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• 2000

대칭형 멀티프로세서 시스템으로 구성된 클러스터의 메시지 전송 방법은 인트라노드인 프로세서 통신과 인터노드인 시스템 통신을 동시에 수행하므로, 노드들간의 통신 성능을 위한 메모리 버퍼의 사용과 버퍼 사이의 데이터 중복 복사가 인트라와 인터노드 사이의 통신 불균형을 가져온다. 푸쉬-풀 메시지의 버퍼 사용 기법을 제한하고 메시지 전송 수행단계를 수정하여 고속 네트웍을 위한 인터노드의 통신 불균형을 감소시켰고, 주소 전환과 전송-승인 신호 중첩 기법을 고속 네트웍에 적합하도록 변형하여 기존의 푸쉬-풀 메시지 기법과 비교, 분석하였다. 제안된 기법은 인터노드 사이의 통신 지연을 약 7~18% 감소시켰다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.11a
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• pp.93-97
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• 1997

본 연구는 새로운 부하(고온의 저장물)가 냉장실 내부에 인입됨에 따라 발생하는 온도불균형을 해소하기 위해 채택된 집중냉각 방식에 있어서의 회전날개의 정지각도 결정 알고리즘 관한 것으로, 특히 냉장실내의 온도에 직접적인 영향을 미치는 압축기 (Compressor) 및 냉기팬(냉기를 냉장실내에 불어넣기 위한 팬)의 운전상황을 입력으로 냉장실내 여러 영역에서의 온도를 추정하는 퍼지적응모델을 이용하여 온도불균형 영역을 검지하고, 이에 따라 회전날개의 각도를 제어함으로서 냉장실 내부의 온도평형을 신속히 이루게하는 특징을 가지고 있다.