• Title/Summary/Keyword: avoidance-based

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The Study on Conflict Management Methods and Job Satisfaction of Conflict Level in Team Teaching Nursery Teachers (영아반 복수담임의 갈등수준에 따른 갈등관리방법과 직무만족도)

  • Lee, Jin-Hee;Kim, Hyun-Joo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.2
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    • pp.532-539
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    • 2017
  • The objective of this study was to understand the degree of conflict in team teaching nursery teachers and also differences in conflict management methods and job satisfaction in accordance with conflict level. For this, a survey was conducted targeting 241 team teaching nursery teachers. In the results of the study, conflict management methods in accordance with conflict level of team teaching nursery teachers showed significant differences in the type of 'integration' and 'avoidance' between groups. Second, job satisfaction in accordance with the conflict level of team teaching nursery teachers showed significant differences in the whole like 'director's operation method & attitude', 'social perception & treatment', 'childcare environment and welfare', 'childcare work', 'relation with colleagues', and 'relation with parents' between groups. In other words, the group with low conflict showed higher job satisfaction than groups with middle or high conflict levels. Based on the results of the study, the efficient operation of team teaching nursery teachers was also discussed.

Characteristics of each Sasang Constitutional Type as assessed by the Temperament and Character Inventory (TCI) (기질 및 성격 검사(TCI)를 통한 사상체질 특성 연구)

  • Choi, Dai-Sung;Kim, Lak-Hyung;Sung, Won-Young;Han, Su-Jin;Shin, Dong-Yoon;Song, Jeong-Mo
    • Journal of Sasang Constitutional Medicine
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    • v.23 no.3
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    • pp.351-360
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    • 2011
  • 1. Objective: This study was designed to analyze the characteristics of each Sasang constitutional type using the Temperament and Character Inventory (TCI). 2. Methods: A total of 135 healthy subjects (age 19-30) participated in this study, consisting of 35 Soyang-type, 66 Taeeum-type, 30 Soeum-type, and 4 Taeyang-type subjects. A Sasang Constitutional Medicine specialist determined each subject's Sasang constitutional type based on the Two Step Questionnaire for Sasang Constitution Diagnosis (TS-QSCD) and comprehensive constitutional assessment. The subjects were also asked to complete the TCI. 3. Results: Among the four temperament dimensions, the Soyang- and Taeeum-type subjects showed significantly higher scores than the Soeum-type subjects in Novelty Seeking (NS). The Soeum-type subjects showed significantly higher scores than the Taeum- and Soyang-type subjects in Harm Avoidance (HA) (Soeum type > Taeeum type > Soyang type). The Soyang-type subjects showed significantly higher scores than the Soeum-type subjects in Reward Dependence (RD). The Soyang- and Taeeum-type subjects showed significantly higher scores than the Soeum-type subjects in Persistence (P). Among the three character dimensions, the Soyang-type subjects showed significantly higher score than the Taeeumand Soeum-type subjects in Self-Directedness (SD) (Soyang type > Taeeum type > Soeum type). The Soyang-type showed significantly higher scores than the Taeeum-type in Cooperativeness (C). 4. Conclusions: Differences in temperament and character were discovered across the Sasang constitutional types. The Sasang constitutional characteristics should be investigated in larger studies in the future. Similar studies could add to the growing knowledge of Sasang constitutional typology and contribute to a more accurate Sasang constitutional diagnosis.

A DCF Throughput Analysis of the Ideal and Fading Channel in the Wireless LAN (무선 LAN에서 이상 및 페이딩 채널 환경의 DCF 처리율 비교 분석)

  • Lee, Yong-Sik;Lee, Ha-Cheol;Lee, Byung-Ho
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.19 no.7
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    • pp.741-753
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    • 2008
  • This paper explores the throughput performance of CSMA/CA-based DCF protocol over both ideal channels and fading channels with payload size at the MAC layer in the 802.11a wireless LAN. In the ideal channel, there are no errors and at the transmission cycle there is one and only one active station which always has a packet to send and other stations can only accept packets and provide acknowledgements. In the fading channel, bit errors appear in the channel randomly and the number of stations is assumed to be fixed. And each station always has packets for transmission. In other words, we operate in saturation conditions. Up to now conventional research work about DCF throughput analysis of IEEE 802.11 a wireless LAN has been done over the ideal channel, but this paper is done over the Rayleigh/Ricean fading channel. So, the ratio of received average energy per bit-to-noise power spectral density $E_b/N_o$ is set to 25 dB and the ratio of direct-to-diffuse signal power in each sub-channel $\xi$ is set to 6 for combined Rayleigh/Ricean fading channel. In conclusion, it is shown that the saturation throughput is always less than the maximum throughput at all the payload size and the higher the transmission rate be, the higher the decreasing rate of saturation throughput compared to the maximum throughput be.

Preimplantation Genetic Diagnosis for Single Gene Disorders (단일 유전자 질환에 대한 착상전 유전진단)

  • Lee, Hyoung-Song;Kim, Min-Jee;Kang, Inn-Soo
    • Journal of Genetic Medicine
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    • v.6 no.2
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    • pp.131-145
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    • 2009
  • Preimplantation genetic diagnosis (PGD) has become an assisted reproductive technique for couples who are at risk that enables them to have unaffected baby without facing the risk of pregnancy termination after invasive prenatal diagnosis. The molecular biology and technology for single-cell genetics has reached an extremely high level of accuracy, and has enabled the possibility of performing multiple diagnoses on one cell using whole genome amplification. These technological advances have contributed to the avoidance of misdiagnosis in PGD for single gene disorders. Polymerase chain reaction (PCR)-based PGD will lead to a significant increase in the number of disorders diagnosed and will find more widespread use, benefiting many more couples who are at risk of transmitting an inherited disease to their baby. In this review, we will focus on the molecular biological techniques that are currently in use in the most advanced centers for PGD for single gene disorders, including biopsy procedure, multiplex PCR and post-PCR diagnostic methods, and multiple displacement amplification (MDA) and the problems in the single cell genetic analysis.

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Antioxidant capacity in seedling of colored-grain wheat under water deficit condition

  • Kim, Dae Yeon;Hong, Min Jeong;Jung, Woo Joo;Seo, Yong Weon
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2017.06a
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    • pp.140-140
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    • 2017
  • Nutritious and functional foods from crop have received great attention in recent years. Colored-grain wheat contains high phenolic compound and a large number of flavonoid. The anthocyanin and polyphenolic synthesis and accumulation is generally stimulated in response to biotic or abiotic stresses. Here, we analyzed genome wide transcripts in seedling of colored-grain wheat response to ABA and PEG treatment. About 900 and 1500 transcripts (p-value < 0.05) from ABA and PEG treatment were aligned to IWGSC1+popseq DB which is composed of over 110,000 transcripts including 100,934 coding genes. NR protein sequences of Poaceae from NCBI and protein sequence of transcription factors originated from 83 species in plant transcription factor database v3.0 were used for annotation of putative transcripts. Gene ontology analysis were conducted and KEGG mapping was performed to show expression pattern of biosynthesis genes related in flavonoid, isoflavonoid, flavons and anthocyanin biopathway. DroughtDB (http://pgsb.helmholtz-muenchen.de/droughtdb/) was used for detection of DEGs to explain that physiological and molecular drought avoidance by drought tolerance mechanisms. Drought response pathway, such as ABA signaling, water and ion channels, detoxification signaling, enzymes of osmolyte biosynthesis, phospholipid metabolism, signal transduction, and transcription factors related DEGs were selected to explain response mechanism under water deficit condition. Anthocyanin, phenol compound, and DPPH radical scavenging activity were measured and antioxidant activity enzyme assays were conducted to show biochemical adaptation under water deficit condition. Several MYB and bHLH transcription factors were up-regulated in both ABA and PEG treated condition, which means highly expressed MYB and bHLH transcription factors enhanced the expression of genes related in the biosynthesis pathways of flavonoids, such as anthocyanin and dihydroflavonols in colored wheat seedlings. Subsequently, the accumulation of total anthocyanin and phenol contents were observed in colored wheat seedlings, and antioxidant capacity was promoted by upregulation of genes involved in maintaining redox state and activation of antioxidant scavengers, such as CAT, APX, POD, and SOD in colored wheat seedlings under water deficit condition. This work may provide valuable and basic information for further investigation of the molecular responses of colored-grain wheat to water deficit stress and for further gene-based studies.

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An Active Queue Management Method Based on the Input Traffic Rate Prediction for Internet Congestion Avoidance (인터넷 혼잡 예방을 위한 입력율 예측 기반 동적 큐 관리 기법)

  • Park, Jae-Sung;Yoon, Hyun-Goo
    • 전자공학회논문지 IE
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    • v.43 no.3
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    • pp.41-48
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    • 2006
  • In this paper, we propose a new active queue management (AQM) scheme by utilizing the predictability of the Internet traffic. The proposed scheme predicts future traffic input rate by using the auto-regressive (AR) time series model and determines the future congestion level by comparing the predicted input rate with the service rate. If the congestion is expected, the packet drop probability is dynamically adjusted to avoid the anticipated congestion level. Unlike the previous AQM schemes which use the queue length variation as the congestion measure, the proposed scheme uses the variation of the traffic input rate as the congestion measure. By predicting the network congestion level, the proposed scheme can adapt more rapidly to the changing network condition and stabilize the average queue length and its variation even if the traffic input level varies widely. Through ns-2 simulation study in varying network environments, we compare the performance among RED, Adaptive RED (ARED), REM, Predicted AQM (PAQM) and the proposed scheme in terms of average queue length and packet drop rate, and show that the proposed scheme is more adaptive to the varying network conditions and has shorter response time.

Pace and Facial Element Extraction in CCD-Camera Images by using Snake Algorithm (스네이크 알고리즘에 의한 CCD 카메라 영상에서의 얼굴 및 얼굴 요소 추출)

  • 판데홍;김영원;김정연;전병환
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2002.11a
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    • pp.535-542
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    • 2002
  • 최근 IT 산업이 급성장하면서 화상 회의, 게임, 채팅 등에서의 아바타(avatar) 제어를 위한 자연스러운 인터페이스 기술이 요구되고 있다. 본 논문에서는 동적 윤곽선 모델(active contour models; snakes)을 이용하여 복잡한 배경이 있는 컬러 CCD 카메라 영상에서 얼굴과 눈, 입, 눈썹, 코 등의 얼굴 요소에 대해 윤곽선을 추출하거나 위치를 파악하는 방법을 제안한다. 일반적으로 스네이크 알고리즘은 잡음에 민감하고 초기 모델을 어떻게 설정하는가에 따라 추출 성능이 크게 좌우되기 때문에 주로 단순한 배경의 영상에서 정면 얼굴의 추출에 사용되어왔다 본 연구에서는 이러한 단점을 파악하기 위해, 먼저 YIQ 색상 모델의 I 성분을 이용한 색상 정보와 차 영상 정보를 사용하여 얼굴의 최소 포함 사각형(minimum enclosing rectangle; MER)을 찾고, 이 얼굴 영역 내에서 기하학적인 위치 정보와 에지 정보를 이용하여 눈, 입, 눈썹, 코의 MER을 설정한다. 그런 다음, 각 요소의 MER 내에서 1차 미분과 2차 미분에 근거한 내부 에너지와 에지에 기반한 영상 에너지를 이용한 스네이크 알고리즘을 적용한다. 이때, 에지 영상에서 얼굴 주변의 복잡한 잡음을 제거하기 위하여 색상 정보 영상과 차 영상에 각각 모폴로지(morphology)의 팽창(dilation) 연산을 적용하고 이들의 AND 결합 영상에 팽창 연산을 다시 적용한 이진 영상을 필터로 사용한다. 총 7명으로부터 양 눈이 보이는 정면 유사 방향의 영상을 20장씩 취득하여 총 140장에 대해 실험한 결과, MER의 오차율은 얼굴, 눈, 입에 대해 각각 6.2%, 11.2%, 9.4%로 나타났다. 또한, 스네이크의 초기 제어점을 얼굴은 44개, 눈은 16개, 입은 24개로 지정하여 MER추출에 성공한 영상에 대해 스네이크 알고리즘을 수행한 결과, 추출된 영역의 오차율은 각각 2.2%, 2.6%, 2.5%로 나타났다.해서 Template-based reasoning 예를 보인다 본 방법론은 검색노력을 줄이고, 검색에 있어 Feasibility와 Admissibility를 보장한다.매김할 수 있는 중요한 계기가 될 것이다.재무/비재무적 지표를 고려한 인공신경망기법의 예측적중률이 높은 것으로 나타났다. 즉, 로지스틱회귀 분석의 재무적 지표모형은 훈련, 시험용이 84.45%, 85.10%인 반면, 재무/비재무적 지표모형은 84.45%, 85.08%로서 거의 동일한 예측적중률을 가졌으나 인공신경망기법 분석에서는 재무적 지표모형이 92.23%, 85.10%인 반면, 재무/비재무적 지표모형에서는 91.12%, 88.06%로서 향상된 예측적중률을 나타내었다.ting LMS according to increasing the step-size parameter $\mu$ in the experimentally computed. learning curve. Also we find that convergence speed of proposed algorithm is increased by (B+1) time proportional to B which B is the number of recycled data buffer without complexity of computation. Adaptive transversal filter with proposed data recycling buffer algorithm could efficiently reject ISI of channel and increase speed of convergence in avoidance burden of computational complexity in reality when it was experimented having the same condition of

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Neuroprotective and Memory Enhancing Effects of Pinelliae rhizoma Extract (반하가 CT105에 의한 신경세포 상해 및 백서의 기억에 미치는 영향)

  • Gang Sang-Yeol;Lee So-Yeon;Yoon Hyeon-Deok;Shin Oh-Chul;Park Chang-Gook;Park Chi-Sang
    • The Journal of Korean Medicine
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    • v.26 no.3 s.63
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    • pp.27-42
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    • 2005
  • Objectives : Alzheimer's disease (AD) is a progressive and fatal neurodegenerative disease characterized by amyloid plaques and neurofibrillary tangles. These plaques are associated with degenerating neuronal processes and consist primarily of fibrillary aggregates of beta-amyloid$ protein, generated from amyloid precursor protein (APP). Another amyloidogenic fragment, the carboxyl terminus (CT) of APP, which is composed of 99-105 amino acid residues containing the complete $A{\beta}$ sequence, also appears to be toxic to neurones. Recent evidence suggest that CT105, carboxy terminal 105 amino acids peptide fragment of APP, may be an important factor causing neurotoxicity in AD. Methods : Although a variety of oriental prescriptions including Pinelliae rhizoma have traditionally been utilized for the treatment of AD, their pharmacological effects and action mechanisms have not yet been fully elucidated. In the present study, we investigated effects of the dichloromethane extract of Pinelliae rhizoma (PINR) on neurotoxicity and the formation of reactive oxygen species (ROS) and nitric oxide (NO) in SK-N-SH cells overexpressed with CT105. In addition, we evaluated its radical scavenging activity and effects on acetylcholinesterase (AChE) activity. Furthermore, effects on cognitive deficits induced by scopolamine treatment in rats were evaluated. Results ; We found in this study that PINR significantly inhibited apoptotic neuronal death induced by CT105 overexpression in SK-N-SH cells. Based on morphological examinations by phase-contrast microscopy, PINR reversed apoptotic changes of CT105-expressed cells. It was also found that PINR significantly promoted neurite outgrowth and inhibited formation of ROS nd NO. PINR was shown to scavenge DPPH radicals and noncompetitively inhibit AChE activity. Furthermore, it reduced scopolamine-induced memory impairment in rata, assessed by passive avoidance test. Conclusions : Taken together, these results demonstrate that PINR exhibits neuroprotective, antioxidant, and memory enhancing effects, and therefore may bs beneficial for the treatment of AD.

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Decision Support System of Obstacle Avoidance for Mobile Vehicles (다양한 자율주행 이동체에 적용하기 위한 장애물 회피의사 결정 시스템 연구)

  • Kang, Byung-Jun;Kim, Jongwon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.6
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    • pp.639-645
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    • 2018
  • This paper is intended to develop a decision model that can be applied to autonomous vehicles and autonomous mobile vehicles. The developed module has an independent configuration for application in various driving environments and is based on a platform for organically operating them. Each module is studied for decision making on lane changes and for securing safety through reinforcement learning using a deep learning technique. The autonomous mobile moving body operating to change the driving state has a characteristic where the next operation of the mobile body can be determined only if the definition of the speed determination model (according to its functions) and the lane change decision are correctly preceded. Also, if all the moving bodies traveling on a general road are equipped with an autonomous driving function, it is difficult to consider the factors that may occur between each mobile unit from unexpected environmental changes. Considering these factors, we applied the decision model to the platform and studied the lane change decision system for implementation of the platform. We studied the decision model using a modular learning method to reduce system complexity, to reduce the learning time, and to consider model replacement.

Cluster Coordinator Node Based Inter-Cell Interference Management Methods in Heterogeneous Networks (이기종 네트워크에서 클러스터 코디네이터 노드 기반의 셀간 간섭 관리 방법)

  • Yang, Mochan;Wu, Shanai;Shin, Oh-Soon;Shin, Yoan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.3
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    • pp.277-288
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    • 2013
  • 3GPP LTE-Advanced (Third Generation Partnership Project Long Term Evolution-Advanced) as a next generation mobile communication standard introduced small base stations such as femto cells or pico cells, and D2D (Device-to-Device) communications between mobiles in the proximity in order to satisfy the needs of rapidly growing wireless data traffic. A diverse range of topics has been studied to solve various interference situations which may occur within a single cell. In particular, an introduction of a small base station along with D2D communication raises important issues of how to increase the channel capacity and frequency efficiency in HetNets (Heterogeneous Networks). To this end, we propose in this paper methods to manage the interference between the macro cell and other small cells in the HetNet to improve the frequency efficiency. The proposed CCN (Cluster Coordinator Node)-assisted ICI (Inter-Cell Interference) avoidance methods exploit the CCN to control the interference in HetNet comprising of an MeNB (Macro enhanced Node-B) and a large number of small cells. A CCN which is located at the center of a number of small cells serves to avoid the interference between macro cell and small cells. We propose methods of resource allocation to avoid ICI for user equipments within the CCN coverage, and evaluate their performance through system-level computer simulations.