• Asian-Australasian Journal of Animal Sciences
• /
• 제18권6호
• /
• pp.868-872
• /
• 2005

Individual management of the animal is the first step towards reaching the goal of precision livestock farming that aids animal welfare. Accurate recognition of each individual animal is important for precise management. Electronic identification of cattle, usually referred to as RFID (Radio Frequency Identification), has many advantages for farm management. In practice, however, RFID implementations can cause several problems. Reading speed and distance must be optimized for specific applications. Image processing is more effective than RFID for the development of precision farming system in livestock. Therefore, the aim of this paper is to attempt the identification of cattle by using image processing. The majority of the research on the identification of cattle by using image processing has been for the black-and-white patterns of the Holstein. But, native Japanese and Korean cattle do not have a consistent pattern on the body, so that identification by pattern is impossible. This research aims to identify to Japanese black cattle, which does not have a black-white pattern on the body, by using image processing and a neural network algorithm. 12 Japanese black cattle were tested. Values of input parameter were calculated by using the face image values of 12 cows. The face was identified by the associate neural memory algorithm, and the algorithm was verified by the transformed face image, for example, of brightness, distortion, noise and angle. As a result, there was difference due to a transformation ratio of the brightness, distortion, noise, and angle. The algorithm could identify 100% in the range from -30 to +30 degrees of brightness, -20 to +40 degrees of distortion, 0 to 60% of noise and -20 to +30 degree of angle transformed images.

• 한국지진공학회논문집
• /
• 제9권1호통권41호
• /
• pp.61-70
• /
• 2005

본 연구에서는 하이브리드 면진장치가 설치된 단자유도 구조물에 대하여 진동대 실험을 수행하였다. 본 연구에서 사용된 하이브리드 면진장치는 네 개의 FPS와 한 개의 MR 감쇠기로 구성하였다. 다양한 크기 및 특성을 가진 지진하중을 하이브리드 면진장치가 설치된 구조물에 가하여 진동제어 성능을 평가하였다. 본 연구에는 준능동 MR 감쇠기의 저항력을 효과적으로 조절하기 위하여 퍼지제어기를 사용하였고 구조물에 부착된 계측기를 통하여 변위 및 가속도를 피드백으로 이용한다. 수동 및 준능동 제어기법을 사용하여 얻은 구조물의 응답을 서로 비교하였고 그 결과 FPS와 MR 감쇠기의 조합으로 다양한 특성의 하중을 받는 구조물의 진동제어를 효과적으로 수행할 수 있음을 알 수 있다.

• 한국컴퓨터산업학회논문지
• /
• 제2권9호
• /
• pp.1191-1198
• /
• 2001

소프트웨어 개발에서 점점 더 중요시되는 사항은 개발 생명주기의 초기에 개발과 관련된 노력과 비용을 추정하는 능력이다. 제안된 모델 대부분은 경험 데이터의 직관, 전문가 판단과 회귀분석의 조합에 기반을 두고 있으나 다양한 환경에 적용될 수 있는 하나의 모델을 개발하는 것이 불가능하였다. 본 논문은 기능 구성요소 형태들로 측정된 소프트웨어 규모로 소프트웨어 개발노력을 추정하는 신경망 모델을 제안한다. 신경망의 은닉뉴런 수는 입-출력 관계로부터 휴리스틱하게 얻는 방법을 제안한다. 24개 소프트웨어 개발 프로젝트 사례연구를 통해 적합한 신경망 모델을 제시하였다. 또한, 회귀분석 모델과 신경망 모델을 비교하여 신경망 모델의 정확성이 보다 좋음을 보였다.

• 한국콘텐츠학회논문지
• /
• 제9권3호
• /
• pp.81-90
• /
• 2009

서비스지향구조 소프트웨어 품질평가는 품질 향상을 유도할 수 있는 기술로서 국제 표준을 수용하는 전략기술 개발을 통해 객관성과 활용도를 높일 수 있고 많은 소프트웨어 기업들이 비즈니스 요구사항과 연계된 솔루션을 구현하기 위한 방법으로 서비스지향구조 기법을 사용하고 있다. 또한, 정부차원의 시범사업이 추진되고 있으며 관련 업계의 기술 개발에 따라 서비스지향구조 기반 소프트웨어의 상용화가 확산되고 있다. 따라서, 본 연구에서는 서비스지향구조 기반 소프트웨어의 유지보수성 품질을 평가하기 위해 시험 메트릭을 제안하였고 품질을 측정하고 그 결과를 적절한 기준에 따라 판정하는 방법에 대해 연구를 수행하고 평가 사례를 제시하여 평가 방법을 명확히 제안하였다. 본 연구를 통해 서비스지향구조 기반 소프트웨어의 유지보수성 품질향상을 유도하고 서비스지향구조 기반 소프트웨어에 대한 양적/질적인 수요를 충족할 수 있다고 본다.

• Archives of Plastic Surgery
• /
• 제38권2호
• /
• pp.166-172
• /
• 2011

Purpose: Facial contouring surgery for improving congenital, acquired deformity and senile change were attempt in past. Recently contouring surgery became more interested subject for improving the flat forehead and temple area. Many synthetic materials were used such as Collagen, silicon, polyacrylamide gel as liquid form and Gore-tex, silicon implant, endotine as solid form. But, these synthetic implants associate complications as foreign body reaction, infection, displacement, granuloma formation and absorption. Auto-fat injection are used for disfigurement of many part of body. We did auto-fat injection for facial contouring of forehead and temple region. Auto-fat injection is suitable without foreign body reaction, displacement, and toxic reaction. Also auto-fat is relatively simple to obtain from patient and less expensive and able to repeat surgeries. Methods: From 2006 to 2009, 150 patients were treated with Auto-fat injection for facial contouring. For follow up, we sent questionnaire to all patients but 110 patients returned answer sheets. The patients consisted of 20 male patients and 90 female patients with an age ranged from 26 to 60, and the mean 43. Fat tissue were injected 6-8 cc in forehead, 7-12 cc in temple area and fat were harvested from thigh and abdomen. Results: In follow up, all patients, showed absorption of injected fat varied degree and except two patients all patients underwent secondary fat injection. Complications were minimal and neuropraxia of facial nerve were recovered. Most of the patients were satisfied with result of procedure, and answered that they recommend same procedure to their friends and will do surgery again. Conclusion: Auto-fat injections were implemented for facial contouring in 150 patients and obtained satisfactory result. Auto-fat injection is relatively easy procedure and applicable widely. Even though, by passing time, some of the injected fats are absorbed, auto-fat injection could be choice of treatment for contouring forehead and temple. With accumulations of cases and development of surgical technique, better result could be expected.

• 대한간호학회지
• /
• 제21권3호
• /
• pp.307-322
• /
• 1991

The purpose of this exploratory study was to analyze nursing role conceptions and test the relationships between nursing role conceptions and professional commitment among selected Korean nurses. Data were obtained from a convenience sample of 262 practising nurses of varying positions, education, and experience. The total sample represents a response rate of 93 percent. Subscales of Nursing Role Conceptions (Pieta, 1976) were used to measure professional, service, and bureaucratic role conceptions 1 the tool to measure professional commitment was developed by the investigator. The results of this study were as follows. 1. Professional role conception and service role conception were positively related(normative r＝ .61 : categorical r＝ .64). Bureaucratic role conception scores(32.6$\pm$4.97) were higher than professional and service role conception scores. 2. Experience was positively related to bureaucratic professional categorical role conception(r＝ .17, p＜ .01), and negatively related to bureaucratic professional role discrepancy(r＝- .12, p＜ .01). There was no relationship between experience and service role conception. This study also showed that nurses who had longer experience tended to have higher role conceptions on all three subscales. 3. Nurses with a master's degree had significantly higher professional and bureaucratic role conceptions scores. Bacealaureates graduates had the lowest bureaucratic categorical role conception scores ; associate nurses had the lowest professional categorical role conception scores. 4. Nursing supervisors and head nurses had significantly higher bureaucratic categorical role coneption scores, whereas they had lower bureaucratic normative and professional role conception scores. 5. Age and experience were positively related to professional commitment (r＝ .24, r＝ .28). Hierarchical multiple regression analyses showed that the combination of nursing role conceptions explained greater variance in professional commitment pair of the variables alone. Further research employing dynamic designs is needed to execute rigorous tests of causal models of nursing role conceptions and professional commitment. The findings of this study suggest that antecedents and moderating variables of nursing role conception and professional commitment need to be explored for further theoretical. specification and empirical evaluation.

• 한국지능시스템학회논문지
• /
• 제6권3호
• /
• pp.81-88
• /
• 1996

클러스터링은 주어진 데이타 집합의 패턴을 비슷한 성질을 가지는 그룹으로 나누어 패턴 상호간의 관계를 정립하기 위한 방법론이다. 이러한 클러스터링 기법을 위하여 많은 알고리즘이 개발되었고, 패턴인식과 영상처리 등의 여러 공학영역에 적용되어 왔다. 대부분의 실세계 데이타는 그 경계가 명확하지 않으므로 그 특성을 보다 정확히 반영하기 위하여 퍼지이론이 도입되었다.이와 같은 클러스터 분석 방법은 보다 적절히 으용하기 위하여 클러스터링의 적절성을 평가하기 위한 방법론과 함께 연구되어야 한다. 이를 위하여 각 데이타 패턴이 얼마나 잘 분류되었는지를 수학적으로 계산하기 위한 함수들이 제안되었다. 그러나 클로스터 타당성 문제는 주어지 클러스터링 방법론의 특성, 그 알고리즘에서 사용한 파라메터의 성질, 주어진 입력 데이타 집합의 특성 등 여러 복잡한 상황을 포함하고 있으므로 기존의 연구에서와 같이 하나의 함수를 이용하여 해결하기는 어렵다. 그러므로 본 논문에서는 기존에 연구되어온 타당성 측정 함수를 조사하고 그의 단점을 고찰하여 이를 해결하기 위한 방법으로 4가지성능 측정자를 제안하고 이의 결합에 의하여 형성된 클러스터 타당성의 정도를 구하는 방법론을 제시하고자 한다. 또한 이러한 방법은 퍼지 클러스터링을 위한 학습 알고리즘과 결함하여 클러스터의 수나 데이타의 분포에 대한 정보없이 최적 클러스터를 찾아주는 방법에 응용될 수 있음을 보인다.

• 대한불안의학회지
• /
• 제14권2호
• /
• pp.106-111
• /
• 2018

Objective : High-risk pregnant women are exposed to the physical and emotional crisis associate with the condition of high-risk pregnancy, making these women emotionally unstable, exhibiting such conditions as depression and anxiety. The aim of this study was to examine what effects the temperament and character of high-risk pregnant women had on their depression, anxiety, and maternal-fetal attachment. Methods : A hundred and five high-risk pregnant women were recruited in the maternity ward of the Keimyung University medical center. All subjects were administered a sociodemographic and obstetric questionnaire, Temperament and Character Inventory, Beck Depression Inventory-II, State Trait Anxiety Inventory-State, and Maternal-Fetal Attachment Scale. Results : First, higher scores on the harm-avoidance scale and lower scores on the self-directedness scale were associated with higher depression scores. Second, higher scores on the harm-avoidance and reward-dependence scale were associated with higher anxiety scores. Lastly, higher scores on the cooperativeness scale were associated with higher maternal-fetal attachment scores. Conclusion : Temperament and character in high-risk pregnant women were associated with the degree of depression, anxiety, maternal-fetal attachment. Based on these findings, it is suggested that examining temperament and character in advance and screening for vulnerability in pregnant women can help to prevent emotional problems for high-risk pregnant women.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제17권2호
• /
• pp.312-334
• /
• 2023

In large-scale computing, cloud computing plays an important role by sharing globally-distributed resources. The evolution of cloud has taken place in the development of data centers and numerous servers across the globe. But the cloud information centers incur huge operational costs, consume high electricity and emit tons of dioxides. It is possible for the cloud suppliers to leverage their resources and decrease the consumption of energy through various methods such as dynamic consolidation of Virtual Machines (VMs), by keeping idle nodes in sleep mode and mistreatment of live migration. But the performance may get affected in case of harsh consolidation of VMs. So, it is a desired trait to have associate degree energy-performance exchange without compromising the quality of service while at the same time reducing the power consumption. This research article details a number of novel algorithms that dynamically consolidate the VMs in cloud information centers. The primary objective of the study is to leverage the computing resources to its best and reduce the energy consumption way behind the Service Level Agreement (SLA)drawbacks relevant to CPU load, RAM capacity and information measure. The proposed VM consolidation Algorithm (PVMCA) is contained of four algorithms: over loaded host detection algorithm, VM selection algorithm, VM placement algorithm, and under loading host detection algorithm. PVMCA is dynamic because it uses dynamic thresholds instead of static thresholds values, which makes it suggestion for real, unpredictable workloads common in cloud data centers. Also, the Algorithms are adaptive because it inevitably adjusts its behavior based on the studies of historical data of host resource utilization for any application with diverse workload patterns. Finally, the proposed algorithm is online because the algorithms are achieved run time and make an action in response to each request. The proposed algorithms' efficiency was validated through different simulations of extensive nature. The output analysis depicts the projected algorithms scaled back the energy consumption up to some considerable level besides ensuring proper SLA. On the basis of the project algorithms, the energy consumption got reduced by 22% while there was an improvement observed in SLA up to 80% compared to other benchmark algorithms.

• 산업융합연구
• /
• 제22권2호
• /
• pp.23-32
• /
• 2024

본 연구에서는 서울 소재 한 전문대학 학생들을 대상으로 하여 최소한의 인구통계학적 변수와 1학년 1학기 성적을 활용하여 학생들의 최종 학적 상태를 예측하고자 하였다. XGBoost와 LightGBM 모델을 사용한 결과, 이러한 변수들이 학생들의 제적 여부 예측에 유의미한 것을 발견하였다. 이는 학업 시작 초기의 성적이 학업 중단의 중요한 지표가 될 수 있음을 시사한다. 또한, 전문대학의 학제가 최종 학적에 영향을 미칠 가능성을 확인하였으며, 이는 학업 기간이 학생들의 학업 중단 결정에 중요한 요소임을 나타낸다. 전문대학에서 조기 학업 중단 의도를 파악하는 데 있어 심리적, 사회적, 경제적 요인에 의존하지 않고 학업 성취도만을 기준으로 모델링을 시도하였다. 이는 향후 학업 중단에 대한 조기 경보 시스템 구축에 도움이 될 것으로 기대된다.