• 인터넷정보학회논문지
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• 제23권1호
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• pp.125-134
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• 2022

정보 통신 및 인공지능 기술의 발전은 우리 군의 지휘통제체계의 지능화를 요구하며, 이를 달성하기 위해 다양한 시도가 이루어지고 있다. 본 논문은 특히, 지휘통제 워크플로우에서 활용 가능한 정보의 양이 폭발적으로 증가함에 따라 지휘통제체계 사용자에게 제공되는 정보 중 수행 업무에 가장 핵심적인 정보를 제공할 수 있는 협업 필터링(Collaborative Filtering, CF) 및 추천 시스템(Recommendation System, RS)에 주목한다. 군 지휘통제체계에서 정보의 필터링을 수행하는 RS는 가장 우선 설명 가능한 추천을 수행하여야 하며, 그 다음 지휘관들이 임무를 수행하는 다양한 상황을 고려한 추천이 수행되어야 한다. 본 논문에서는 지휘통제 워크플로우를 지원하기 위하여 정보를 선택적으로 추천하는 contextual pre-filtering CARS 프레임워크를 제안한다. 제안된 프레임워크는 1) 지휘결심자의 상황 및 관계에 기반하여 데이터를 사전에 필터링하는 contextual pre-filtering, 2) CF의 취약한 데이터 희소성 문제를 극복하기 위한 피쳐 선택, 3) 피쳐 간의 디스턴스를 사용자의 유사도 산출에 활용한 CF, 및 4) 사용자의 선호를 반영하기 위한 규칙 기반 포스트 필터링의 4 단계로 구성되어 있다. 본 연구의 우수성을 평가하기 위해서 상용 수준의 실험 데이터셋 2종에 대해 기존 CF 방법의 다양한 디스턴스 방법을 적용하여 비교 실험하였다. 비교 실험 결과 제안된 프레임워크가 3가지 평가지표(MAE, MSE, MSLE) 측면에서 우수함을 나타내었다.

• 대한토목학회논문집
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• 제26권1D호
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• pp.185-193
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• 2006

현재 시행되고 있는 사전환경성검토는 부분 항목별 수치분석이 이루어지고 있어 종합적인 사전환경성검토가 어려운 실정이다. 또한, 수치자료의 활용이 미흡하여 환경성검토 분석결과의 객관성이 저하되고 있고, 평가비용과 시간도 많이 소요되고 있다. 본 연구에서는 8개 사전환경성 검토요소에 대한 지리정보체계의 공간분석기능을 도입하였으며, 개별 요소들의 평가결과를 통한 종합적인 검토를 수행할 수 있도록 사전 환경성검토 GIS 의사결정시스템을 구축하였다. 본 연구에서 개발한 사전환경성 검토 GIS 의사결정시스템과 기 구축된 GIS 데이터를 활용을 통해 환경성 검토에 객관성이 충족 및 시간 비용 절감이 가능하여 사업초기에 도로 노선선정 시 사전환경성 검토에 활용 가능할 것이다. 또한, 본 연구 개발된 시스템을 통하여 수치적이고 시각적인 자료를 활용한 평가로 주민의 합의를 보다 용이하게 이끌어 낼 수 있고, 사업초기에 비용과 시간을 절감하면서 도로건설에 따른 환경성을 검토할 수 있을 것으로 기대된다.

• 한국중재학회지:중재연구
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• 제17권1호
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• pp.57-75
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• 2007

Ever since franchising emerged in the industry of distribution, it has been growing explosively in the U.S.A. and all other countries as well. It is a method of expanding a business by licensing independent businessman to sell the franchiser's products and/or services or to follow a format and trade style created by the franchiser using the franchiser's trade marks and trade names. Franchising is a form of business that touches upon many different areas of law including, but not limited to, general contract law, general principles of commercial law, law of intellectual property, competition law, fair trade practices law and other industry specific laws e.g., the Fair Practices in Franchising Act in Korea. Arbitration is a long established, legally recognized procedure for submitting disputes to an outside person(s), mutually selected by the parties, for a final and binding decision. Despite its merits as an alternative dispute resolution, it has been criticized, on the other hand, particularly by franchisees' attorneys on the ground that even though it is required to protect the franchisees against the enforcement of pre-dispute arbitration agreements because of the franchisees' paucity of bargaining power vis-a-vis the franchiser, arbitration cannot afford it. Until recently, however, little has been written about the legal issues pertaining to franchise agreement and arbitration clause contained therein in Korea. This treatise reviews the cases and arguments in relation to the subject especially of the U.S.A., which have been accumulated for decades. The issues addressed herein are the pre-emption by the FAA, the disputes to be arbitrated, the selection and qualification of arbitrators, the place of arbitration hearings and the evidentiary rules applicable, the expenses of arbitration, theory of fiduciary duty and the like, all of which are relevant to franchise agreement.

• 한국건설관리학회논문집
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• 제17권2호
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• pp.118-126
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• 2016

해외건설 시장은 정부와 건설기업들의 적극적인 노력에 힘입어 2015년 6월 누계 7,000억 불 수주를 돌파하는 경이로운 성장을 이루었다. 이러한 양적인 성장에도 불구하고 질적인 면에서 역량 부족, 기술력 부족 등이 대두되면서 내실화 문제가 지속적으로 제기되고 있다. 이를 극복하기 위하여 해외건설 성공요인에 대한 연구가 국내외적으로 활발히 이루어지고 있으며, 전문건설기업 선정이 핵심적인 성공요인으로써 그 중요성이 강조되고 있다. 그러나 기존 전문건설기업 선정 평가체계의 기준 미비 및 신뢰성 부족으로 인해 해외건설 시장에 진출한 국내기업의 합리적인 의사결정이 어려운 실정이다. 본 논문은 상관분석 및 다중회귀분석을 통하여 기존 사전역량평가와 사후수행평가의 문제점을 도출하였고, 세부 평가지표의 조정을 통해 개선된 평가체계를 제시하고자 한다. 제시된 평가체계는 성공적인 해외사업 수행을 위한 이상적인 전문건설기업 선정에 유용한 참고 자료로 활용 될 수 있을 것이라 기대된다.

• Asian-Australasian Journal of Animal Sciences
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• 제16권1호
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• pp.116-123
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• 2003

Forages are the most important feed resource for ruminants worldwide, whether fed as pastures, forage crops or conserved hay, silage or haylage. There is large variability in the quality of forages so measurement and prediction of feeding value and nutritive value are essential for high levels of production. Within a commercial animal production system, methods of prediction must be inexpensive and rapid. At least 50% of the variation in feeding value of forages is due to variation in voluntary feed intake. Identification of the factors that constrain voluntary feed intake allows these differences to be managed and exploited in forage selection. Constraints to intake have been predicted using combinations of metabolic and physical factors within the animal while simple measurements such as the energy required to shear the plant material are related to constraints to intake with some plant material. Animals respond to both pre- and post-ingestive feedback signals from forages. Pre-ingestive signals may play a role in intake with signals including taste, odour and texture together with learned aversions to nutrients or toxins (post-ingestive feedback signals). The challenge to forage evaluation is identification of the factors which are most important contributors to these feedback signals. Empirical models incorporating chemical composition are also widely used. The models tend to be useful within the ranges of the datasets used in their development but none can claim to have universal application. Mechanistic models are becoming increasingly complex and sophisticated and incorporate both feed characteristics and use of biochemical pathways within the animal. Improvement in utilisation through the deliberate selection of pasture plants for high feeding value appears to have potential and has been poorly exploited. Use of Near Infrared Reflectance Spectroscopy is a simple method that offers significant potential for the preliminary screening of plants with genetic differences in feeding value. Near Infrared Reflectance Spectroscopy will only be as reliable as the calibration sets from which the equations are generated.

• Hip & pelvis
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• 제35권3호
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• pp.157-163
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• 2023

Purpose: This study examined the methods for treatment of femoral neck fracture (FNF) preferred by members of the Korean Hip Society (KHS) and identified factors that influence decisions regarding the surgical intervention of choice. Materials and Methods: A total of 97 members of the KHS responded to the 16-question survey which included questions about the mean number of surgeries performed each month for treatment of femoral neck fractures, the cut-off age for deciding between internal fixation and arthroplasty, the implant used most often, usage of cement, and factors influencing each decision. Results: The mean cut-off age used when deciding between internal fixation and arthroplasty was 64 years old. Hemiarthroplasty (HA) (70%) was the most preferred option for treatment of displaced FNFs in cases where arthroplasty was indicated (total hip arthroplasty [THA] 19% and dual mobility THA 11%). The main reasons for selection of arthroplasty over reduction with internal fixation were age and pre-fracture ambulatory status. Pre-trauma ambulatory status and/or sports activity were the main factors in selection of HA over THA. Cement was used by 33% of responders. Poor bone quality and a broad femoral canal were factors that influenced the usage of cement. Conclusion: Management of FNFs in the elderly is a major health problem worldwide; thus, remaining alert to current trends in treatment is essential for surgeons. The mean cut-off age used in deciding between internal fixation and arthroplasty was 64 years old. HA is the preferred method for treatment of displaced FNFs for members of the KHS.

• Journal of Communications and Networks
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• 제18권6호
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• pp.892-901
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• 2016

In the multi-user multiple-input multiple-output (MIMO) system, orthogonal random beamforming (ORBF) scheme is proposed to serve multiple users simultaneously in order to achieve the multi-user diversity gain. The opportunistic space-division multiple access system (OSDMA-S) scheme performs multiple weighting matrices during the training phase and chooses the best weighting matrix to be used to broadcast data during the transmitting phase. The OSDMA-S scheme works better than the original ORBF by decreasing the inter-user interference during the transmitting phase. To save more time in the training phase, a partly random multiple weighting matrices selection scheme is proposed in this paper. In our proposed scheme, the Base Station does not need to use several unitary matrices to broadcast pilot symbol. Actually, only one broadcasting operation is needed. Each subscriber generates several virtual equivalent channels with a set of pre-saved unitary matrices and the channel status information gained from the broadcasting operation. The signal-to-interference and noise ratio (SINR) of each beam in each virtual equivalent channel is calculated and fed back to the base station for the weighting matrix selection and multi-user scheduling. According to the theoretical analysis, the proposed scheme relatively expands the transmitting phase and reduces the interactive complexity between the Base Station and subscribers. The asymptotic analysis and the simulation results show that the proposed scheme improves the throughput performance of the multi-user MIMO system.

• Archives of Plastic Surgery
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• 제42권6호
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• pp.729-734
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• 2015

Background Insufficient satisfaction outcome literature exists to assist consultations for scar revision surgery; such outcomes should reflect the patient's perspective. The aim of this study was to prospectively investigate scar revision patient satisfaction outcomes, according to specified patient-selection criteria. Methods Patients (250) were randomly selected for telephone contacting regarding scar revisions undertaken between 2007-2011. Visual analogue scores were obtained for scars pre- and post-revision surgery. Surgery selection criteria were; 'presence' of sufficient time for scar maturation prior to revision, technical issues during or wound complications from the initial procedure that contributed to poor scarring, and 'absence' of site-specific or patient factors that negatively influence outcomes. Patient demographics, scar pathogenesis (elective vs. trauma), underlying issue (functional/symptomatic vs. cosmetic) and revision surgery details were also collected with the added use of a real-time, hospital database. Results Telephone contacting was achieved for 211 patients (214 scar revisions). Satisfaction outcomes were '2% worse, 16% no change, and 82% better'; a distribution maintained between body sites and despite whether surgery was functional/symptomatic vs. cosmetic. Better outcomes were reported by patients who sustained traumatic scars vs. those who sustained scars by elective procedures (91.80% vs. 77.78%, P=0.016) and by females vs. males (85.52% vs. 75.36%, P<0.05), particularly in the elective group where males (36.17%) were more likely to report no change or worse outcomes versus females (16.04%) (P<0.01). Conclusions Successful scar revision outcomes may be achieved using careful patient selection. This study provides useful information for referring general practitioners, and patient-surgeon consultations, when planning scar revision.

• 한국측량학회지
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• 제25권5호
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• pp.383-392
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• 2007

본 연구는 초분광 영상을 이용한 변화탐지 기법의 전처리 과정 중 하나인 영상간 기하보정과 밴드선택에 초점을 맞추고 있다. 최근 그 성능이 입증된 SIFT(Scale-Invariant Feature Transform) 기법을 이용하여 자동화된 기하보정을 수행하였으며, 분광정보의 불변 특성을 반영하는 PIF(Pseudo-Invariant Feature)를 추출하여 영상의 잡음을 추정함으로써, 변화탐지를 위한 유효 밴드를 선택하였다. 또한, 기대최대화(Expectation-Maximization) 기법을 이용한 객관적인 밴드선택 방법을 구현하였다. 제안된 기법들을 실제 적용하기 위해 Hyperion 영상을 사용하였으며, 영상에 나타나는 보정되지 않은 밴드 및 Striping 잡음의 특성을 부가적으로 제거하였다. 결과를 통해, 변화탐지를 위한 최소한의 요구조건인 0.2화소 이내의 정확도(RMSE)를 만족하는 신뢰도 높은 기하보정을 수행할 수 있었으며, 시각적인 판단에 의존하던 밴드선택을 PIF를 통해 객관화할 수 있음을 확인하였다.

• 한국물환경학회지
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• 제35권5호
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• pp.425-431
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• 2019

Recently, people have been attracting attention to the good quality of water resources as well as water welfare. to improve the quality of life. This study is a papers on the prediction of benthic macroinvertebrate index (BMI), which is a aquatic ecological health, using the machine learning based CFS (Correlation-based Feature Selection) method and the random forest model to compare the measured and predicted values of the BMI. The data collected from the Han River's branch for 10 years are extracted and utilized in 1312 data. Through the utilized data, Pearson correlation analysis showed a lack of correlation between single factor and BMI. The CFS method for multiple regression analysis was introduced. This study calculated 10 factors(water temperature, DO, electrical conductivity, turbidity, BOD, $NH_3-N$, T-N, $PO_4-P$, T-P, Average flow rate) that are considered to be related to the BMI. The random forest model was used based on the ten factors. In order to prove the validity of the model, $R^2$, %Difference, NSE (Nash-Sutcliffe Efficiency) and RMSE (Root Mean Square Error) were used. Each factor was 0.9438, -0.997, and 0,992, and accuracy rate was 71.6% level. As a result, These results can suggest the future direction of water resource management and Pre-review function for water ecological prediction.