• Structural Engineering and Mechanics
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• 제6권1호
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• pp.41-61
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• 1998

A state-of-the-art report on the new finite elements formulated by the addition of nonconforming displacement modes has been presented. The development of a series improved nonconforming finite elements for the analysis of plate and shell structures is described in the first part of this paper. These new plate and shell finite elements are established by the combined use of different improvement schemes such as; the addition of nonconforming modes, the reduced (or selective) integration, and the construction of the substitute shear strain fields. The improvement achieved may be attributable to the fact that the merits of these improvement techniques are merged into the formation of the new elements in a complementary manner. It is shown that the results obtained by the new elements give significantly improved solutions without any serious defects such as; the shear locking, spurious zero energy mode for the linear as well as nonlinear benchmark problems. Recent developments in the transition elements that have a variable number of mid-side nodes and can be effectively used in the adaptive mesh refinement are presented in the second part. Finally, the nonconforming transition flat shell elements with drilling degrees of freedom are also presented.

• Journal of Computing Science and Engineering
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• 제7권2호
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• pp.132-138
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• 2013

Multi-modal techniques have received increasing interest in the neuroscientific and brain computer interface (BCI) communities in recent times. Two aspects of multi-modal imaging for BCI will be reviewed. First, the use of recordings of multiple subjects to help find subject-independent BCI classifiers is considered. Then, multi-modal neuroimaging methods involving combined electroencephalogram and near-infrared spectroscopy measurements are discussed, which can help achieve enhanced and robust BCI performance.

• Clinical and Experimental Reproductive Medicine
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• 제29권4호
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• pp.251-258
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• 2002

Objective : The aim of this study was to evaluate the outcomes of the GnRH antagonist (Cetrotide) minimal stimulation protocol comparing with GnRH agonist combined long step down stimulation protocol in PCOS patients. Materials and Method: From Apr 2001 to May 2002, 22 patients (22 cycles) were performed in controlled ovarian hyperstimulation using by GnRH antagonist and GnRH agonist for PCOS patients. GnRH antagonist (Cetrotide) combined minimal stimulation protocol was administered in 10 patients (10 cycles, Study Group) and GnRH agonist long step down stimulation protocol was administered in 12 patients (12 cycles, Control Group). We compared the pregnancy rate/cycle, total FSH (A)/cycle, Retrieved oocyte/cycle, the incidence of ovarian hyperstimulation syndrome, multiple pregnancy rate between the two groups. Student-t test were used to determine statistical significance. Statistical significance was defined as p<0.05. Results: Group of GnRH antagonist (Cetrorelix) minimal stimulation protocol produced fewer oocytes (6.4 versus 16.3 oocytes/cycle) using a lower dose of FSH (22.2 versus 36.1 Ample/cycle) and none developed OHSS and multiple pregnancy. Although the trends were in favour of the GnRH antagonist (Cetrorelix) protocol, the differences did not reach statistical significance. This was probably due to small sample size. Conclusion: The use of GnRH antagonist reduce the risk of ovarian hyperstimulation and multiple pregnancy. We suggest that GnRH antagonist might be alternative controlled ovarian hyperstimulation method, especially in PCOS patients who will be ovarian high response.

• Clinical and Experimental Pediatrics
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• 제53권8호
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• pp.779-785
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• 2010

In pre-surgical evaluation of pediatric epilepsy, the combined use of multiple imaging modalities for precise localization of the epileptogenic focus is a worthwhile endeavor. Advanced neuroimaging by high field Magnetic resonance imaging (MRI), diffusion tensor images, and MR spectroscopy have the potential to identify subtle lesions. $^{18}F$-FDG positron emission tomography and single photon emission tomography provide visualization of metabolic alterations of the brain in the ictal and interictal states. These techniques may have localizing value for patients which exhibit normal MRI scans. Functional MRI is helpful for non-invasively identifying areas of eloquent cortex. These advances are improving our ability to noninvasively detect epileptogenic foci which have gone undetected in the past and whose accurate localization is crucial for a favorable outcome following surgical resection.

• 한국통신학회논문지
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• 제32권5C호
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• pp.469-477
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• 2007

소스 코딩을 통해 얻어지는 대다수의 멀티미디어 데이터 정보는 여러 등급의 다른 비트에러민감도를 가지고 있다. 그러므로 효율적인 시스템 구현을 위해서는 데이터 고유의 비트에러민감도에 따라 서로 다른 수준의 에러 방지를 제공해야 한다. 이 논문에서는 다중안테나 (multiple-in multiple-out : MIMO) 기반의 OFDM시스템에서 효과적인 멀티미디어 정보를 전송하기 위한 차등 에러 방지 기법(Unequal error protection : UEP)을 제안한다. 차등의 에러 방지를 제공하는 시공간 코딩 기법을 설명하고 그 성능을 평가한다. MIMO 기법과 BICM (Bit-interleaved coded modulations) 기술은 보통 RCPC (Rate compatible punctured convolutional codes) 기법과 연계되어 구동된다. 이때 다중안테나 채널 이퀄라이저와 채널코딩 사이에 터보디코딩 기법을 적용하여 최상의 성능을 얻을 수 있는데 기존의 시스템에서는 동일한 에러방지기법(Equal Error Protection : EEP)을 사용하고 있다. 이 논문에서는 이런 시스템 구조에서 보통 사용되는 동일 에러 방지 기법(EEP)와 비교하여 차등 에러방지 기법(UEP)를 사용함으로써 얻을 수 있는 이득을 사용되는 전송파워와 채널밴드 측면에서 설명한다. 특히 제안된 알고리즘을 둘 또는 세 개의 전송 안테나와 두 개의 수신안테나를 갖는 다중안테나 시스템에 적용하고 8PSK 신호를 이용하여 플랫 페이딩 채널에서 성능을 평가하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권4호
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• pp.1224-1248
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• 2022

In various sensor network applications, such as climate observation organizations, sensor nodes need to collect information from time to time and pass it on to the recipient of information through multiple bounces. According to field tests, this information corresponds to most of the energy use of the sensor hub. Decreasing the measurement of information transmission in sensor networks becomes an important issue.Compression sensing (CS) can reduce the amount of information delivered to the network and reduce traffic load. However, the total number of classification of information delivered using pure CS is still enormous. The hybrid technique for utilizing CS was proposed to diminish the quantity of transmissions in sensor networks.Further the energy productivity is a test task for the sensor nodes. However, in previous studies, a clustering approach using hybrid CS for a sensor network and an explanatory model was used to investigate the relationship between beam size and number of transmissions of hybrid CS technology. It uses efficient data integration techniques for large networks, but leads to clone attacks or attacks. Here, a new algorithm called SBEA (Snowball Endurance Algorithm) was proposed and tested with a bow. Thus, you can extend the battery life of your WSN by running effective copy detection. Often, multiple nodes, called observers, are selected to verify the reliability of the nodes within the network. Personal data from the source centre (e.g. personality and geographical data) is provided to the observer at the optional witness stage. The trust and reputation system is used to find the reliability of data aggregation across the cluster head and cluster nodes. It is also possible to obtain a mechanism to perform sleep and standby procedures to improve the life of the sensor node. The sniffers have been implemented to monitor the energy of the sensor nodes periodically in the sink. The proposed algorithm SBEA (Snowball Endurance Algorithm) is a combination of ERCD protocol and a combined mobility and routing algorithm that can identify the cluster head and adjacent cluster head nodes.This algorithm is used to yield the network life time and the performance of the sensor nodes can be increased.

• 한국토양비료학회지
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• 제39권2호
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• pp.109-115
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• 2006

점토경반층 토양에서 수량 변이의 특성을 파악하기 위하여 센서를 통하여 관측된 깊이별 토양경도 및 ECa와 작물의 수량과의 관련성을 분석한 결과, 깊이별 토양의 경도는 점토가 집적된 지표면으로부터 15-30 cm 지점의 점토경반층 (argillic horizon)에서 높게 나타내고 있으며 토양의 깊이가 깊은 지점에서 토양경도의 변이가 작게 나타났다. 1994년부터 2002년까지 콩과 옥수수 수량과 작물생육기의 강우량을 분석한 결과 7-8월의 강우량이 작물의 수량과 매우 밀접한 관계를 가지고 있으며 이 기간의 강우량이 150 mm 이하이면 작물이 수분 부족으로 수량이 낮아지는 것으로 나타났다. 지표로부터 15-45 cm 지점에서 토양의 경도와 ECa 가 작물의 수량과 매우 유의한 상관을 갖는 것으로 나타났으며 "drought boundary" 인 7-8월의 강우량이 150 mm를 기점으로 각기 반대의 상관을 보이는 것으로 나타났다. 측정된 토양의 깊이별 경도 값과 ECa 를 이용하여 수량 추정식을 계산 하였으며 추정식의 검증을 위하여 별도의 독립적인 자료를 이용하여 추정된 수량과 측정된 수량의 표준오차를 비교한 결과 측정된 수량에 대한 표준오차의 비율이 4-16% 로 나타났으며 7-8월의 강우량이 150 mm 이하로 건조한 경우에 표준오차가 같은 시기에 강우량이 150 mm 이상으로 습윤한 경우보다 현저하게 표준오차가 크게 나타났다. 결론적으로 신속하고 경제적으로 이용할 수 있는 센서 측정자료와 작물수량과의 관련성을 분석한 결과, 연구에 이용된 점토경반층 토양에서 센서를 이용하여 측정한 ECa 및 깊이별 토양경도와 작물 수량간에 통계적으로 유의한 상관이 있음을 알 수 있다.