• 한국도로학회논문집
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• 제20권3호
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• pp.75-84
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• 2018

PURPOSES: This study analyzes feasibility for application white pavement markings in the roadways with median barrier. METHODS : By reviewing numerous relevant laws, standards, and operational cases, the white pavement markings' excellence was demonstrated. Driver's behavior was analyzed through a virtual driving experiment using driving simulator and field tests. RESULTS:First, white pavement markings are superior to yellow pavement markings in terms of visibility, economics, and safety. Second, as a result of virtual driving experiment, the color of line in the roadway with median barrier didn't affect the driver's behavior such as the average vehicle speed, the distance bias in the lane and the separation distance from the centerline. Third, field test demonstrated that the driver tended to recognize the median barrier as an obstacle. In addition, the central driving ratio in the lane was increased due to improving the visibility of line at night in case of the white pavement markings. CONCLUSIONS : The application of white pavement markings in the roadways with median barrier can enhance traffic safety by improving the visibility of line at night.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권8호
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• pp.4021-4037
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• 2018

In network intrusion detection research, two characteristics are generally considered vital to building efficient intrusion detection systems (IDSs): an optimal feature selection technique and robust classification schemes. However, the emergence of sophisticated network attacks and the advent of big data concepts in intrusion detection domains require two more significant aspects to be addressed: employing an appropriate big data computing framework and utilizing a contemporary dataset to deal with ongoing advancements. As such, we present a comprehensive approach to building an efficient IDS with the aim of strengthening academic anomaly detection research in real-world operational environments. The proposed system has the following four characteristics: (i) it performs optimal feature selection using information gain and branch-and-bound algorithms; (ii) it employs machine learning techniques for classification, namely, Logistic Regression, Naïve Bayes, and Random Forest; (iii) it introduces bulk synchronous parallel processing to handle the computational requirements of large-scale networks; and (iv) it utilizes a real-time contemporary dataset generated by the Information Security Centre of Excellence at the University of Brunswick (ISCX-UNB) to validate its efficacy. Experimental analysis shows the effectiveness of the proposed framework, which is able to achieve high accuracy, low computational cost, and reduced false alarms.

• 한국IT서비스학회지
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• 제5권1호
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• pp.17-34
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• 2006

As insurers have undergone changing customer expectations, increased cross-industry competition and restructured distribution channels, they need to enhance customer relationships, cut costs, increase agility and streamline operations while differentiating the core competency. As such, the importance of e-business transformation has increased where organizational core processes are restructured around customers and interned-based technology is adopted for flexible and adaptive information systems. This paper presents a case study of process innovation for e-business transformation in a Korea-based leading property & casualty insurance company. The company initiated three years-long e-business transformation program to remain competitive and to keep sustainable growth under risky and down economy. The program, which covered enterprise-wide business processes such as product, marketing & sales, customer, claim, investment & loan, accountings, etc., included redesigning processes from customers' viewpoint and then implementing process-aligned information systems. Leadership, sponsorship, change management, performance measurement, business and IT alignment, empowerment, and customized methodology, were emphasized throughout the program. As a result, the company could expect not only improvements in customer-centricity, sales productivity, and operational excellence but also increased revenues and profits in the next three years. The presented case addresses a feasible approach for enterprise-wide e-business transformation. Although the strategies, actions, and business and IT models are not described in detail due to confidentiality, the methodology and the success factors would be applicable to other insurers and possibly organizations in different industries.

• International Journal of Naval Architecture and Ocean Engineering
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• 제13권1호
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• pp.734-745
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• 2021

In order to achieve a good and competitive FPSO design, the building cost and the motion performances are the two most critical and conflicting KPIs to be considered. In this study, the author's previous work (Lee, et al., 2021) on the optimization of an FPSO's hull dimensions with 1800 MBBLs storage capacity at Brazil field was extended using a multi-objective parametric optimization with the hull steel weight and the operability which are closely related to the building cost and the operational cost during the lifetime, respectively. For the purpose of more realistic and practical FPSO design, the constraints related to crew comfort and the safe helicopter take-off and landing operation were newly added. Also, the green water on deck was calculated accurately to check the suitability of the designed freeboard height using a newly developed real-time calculation module for the relative wave elevations. With aids of this updated optimization formulation, we presented multiple optimal FPSO dimensions expressed as a Pareto set which aids FPSO designers to conveniently select the practical and competitive dimensions. The excellence of the developed approach was verified by comparing the optimization results with those of FPSOs dimensioned for operation at West Africa and Brazil field.

• Asian Pacific Journal of Cancer Prevention
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• 제17권3호
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• pp.923-926
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• 2016

The classic BCR-ABL1-negative myeloproliferative neoplasm is an operational sub-category of MPNs that includes polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF). The JAK2V617F mutation is found in ~ 95% of PV and 50-60% of ET or PMF. In most of the remaining JAK2V617F-negative PV cases, JAK2 exon 12 mutations are present. Amongst the JAK2V617F-negative ET or PMF 5-10% of patients carry mutations in the MPL gene. Prior to 2013, there was no specific molecular marker described in the remaining 30-40% ET and PMF. In December 2013, two research groups independently reported mutations in the gene CALR found specifically in ET (67-71%) and PMF (56-88%) but not in PV. Initially CALR mutations were reported mutually exclusive with JAK2 or MPL. However, co-occurrence of CALR mutations with JAK2V617F has been reported recently in a few MPN cases. Many studies have reported important diagnostic and prognostic significance of CALR mutations in ET and PMF patients and CALR mutation screening has been proposed to be incorporated into WHO diagnostic criteria for MPN. It is suggestive in diagnostic workup of MPN that CALR mutations should not be studied in MPN patients who carry JAK2 or MPL mutations. However JAK2V617F and CALR positive patients might have a different phenotype and clinical course, distinct from the JAK2-positive or CALR-positive subgroups and identification of the true frequency of these patients may be an important factor for defining the prognosis, risk factors and outcomes for MPN patients.

• 한국산업정보학회논문지
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• 제21권2호
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• pp.1-10
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• 2016

본 논문에서는 스마트팩토리의 대량 제조 산업 중심의 실시간 통합제어 시스템과 리소스 메니지먼트를 위한 알고리즘과 수치 해석을 고려한다. 사이버 물리 시스템(CPS)상에서 전송되어지는 다양한 데이터들이 실시간으로 제어되어야 각각의 주소체계를 가진 단말과 플랫폼, 서비스로 묶여 진정한 스마트제조업이 실현될 것으로 기대하며, 기존의 연구결과로부터 새롭게 제안되어지는 최적화운용 알고리즘을 반영하여 패러미터별 증명과 자코비 연산에 의한 수치해석을 덧붙이게 된다. 최적의 운용 알고리즘을 센싱데이터에 의하여 결정을 하게 되고 이를 통한 CPS상에서 전송되는 현상을 구체적으로 제시한다. 또한 실험을 통해서 기존의 연구결과와 비교 검토함으로서 제시된 실시간 통합제어 시스템의 우수성을 검증하였다.

• Korean Chemical Engineering Research
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• 제61권2호
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• pp.278-286
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• 2023

The present work evaluated the production of biohydrogen under mesophilic and thermophilic conditions through dark fermentation of palm oil mill effluent (POME) in batch mode using the design of experiment methodology. Response surface methodology (RSM) was applied to investigate the influence of the two significant parameters, POME concentration as substrate (5, 12.5, and 20 g/l), and volumetric substrate to inoculum ratio (1:1, 1:1.5, and 1:2, v/v.%), with inoculum concentration of 14.3 g VSS/l. All the experiments were analyzed at 37 ℃ and 55 ℃ at an incubation time of 24 h. The highest chemical oxygen demand (COD) removal, hydrogen content (H₂%), and hydrogen yield (HY) at a substrate concentration of 12.5 g COD/l and S:I ratio of 1:1.5 in mesophilic and thermophilic conditions were obtained (27.3, 24.2%), (57.92, 66.24%), and (6.43, 12.27 ml H₂/g COD_rem), respectively. The results show that thermophilic temperature in terms of COD removal was more effective for higher COD concentrations than for lower concentrations. Optimum parameters projected by RSM with S:I ratio of 1:1.6 and POME concentration of 14.3 g COD/l showed higher results in both temperatures. It is recognized how RSM and optimization processes can predict and affect the process performance under different operational conditions.

• Smart Structures and Systems
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• 제20권1호
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• pp.61-74
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• 2017

One of the most reliable and simplest tools for structural vibration control in civil engineering is Tuned Mass Damper, TMD. Provided that the frequency and damping parameters of these dampers are tuned appropriately, they can reduce the vibrations of the structure through their generated inertia forces, as they vibrate continuously. To achieve the optimal parameters of TMD, many different methods have been provided so far. In old approaches, some formulas have been offered based on simplifying models and their applied loadings while novel procedures need to model structures completely in order to obtain TMD parameters. In this paper, with regard to the nonlinear decision-making of fuzzy systems and their enough ability to cope with different unreliability, a method is proposed. Furthermore, by taking advantage of both old and new methods a fuzzy system is designed to be operational and reduce uncertainties related to models and applied loads. To design fuzzy system, it is required to gain data on structures and optimum parameters of TMDs corresponding to these structures. This information is obtained through modeling MDOF systems with various numbers of stories subjected to far and near field earthquakes. The design of the fuzzy systems is performed by three methods: look-up table, the data space grid-partitioning, and clustering. After that, rule weights of Mamdani fuzzy system using the look-up table are optimized through genetic algorithm and rule weights of Sugeno fuzzy system designed based on grid-partitioning methods and clustering data are optimized through ANFIS (Adaptive Neuro-Fuzzy Inference System). By comparing these methods, it is observed that the fuzzy system technique based on data clustering has an efficient function to predict the optimal parameters of TMDs. In this method, average of errors in estimating frequency and damping ratio is close to zero. Also, standard deviation of frequency errors and damping ratio errors decrease by 78% and 4.1% respectively in comparison with the look-up table method. While, this reductions compared to the grid partitioning method are 2.2% and 1.8% respectively. In this research, TMD parameters are estimated for a 15-degree of freedom structure based on designed fuzzy system and are compared to parameters obtained from the genetic algorithm and empirical relations. The progress up to 1.9% and 2% under far-field earthquakes and 0.4% and 2.2% under near-field earthquakes is obtained in decreasing respectively roof maximum displacement and its RMS ratio through fuzzy system method compared to those obtained by empirical relations.

• 한국콘텐츠학회논문지
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• 제20권7호
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• pp.56-65
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• 2020

본 연구의 목적은 임진왜란 당시 사용된 조선화포 중완구에 대한 효과적인 복원을 통해 동시대 최고의 기술을 기반으로 해양 우세권을 유지할 수 있었던 조선시대 화포(중완구)의 우수성과 독창성을 확인하는 것이다. 조선화포 중완구는 임진왜란 당시 해·육상 주요 전장에서 사용되었던 화포로서 외세의 침략으로부터 국가를 수호하고자 하는 우리민족의 호국의지를 엿볼 수 있는 중요한 문화유산이며, 운용방법 등 역사적인 고증을 위해 크기, 비례, 구조, 재료 및 주조방법 등 다양한 분야에 대한 많은 연구가 필요하다. 이에 따라 중완구의 효과적인 연구를 위해 3차원 스캐닝 및 3D 프린팅 등 최신 IT 기술을 활용하는 것으로 먼저, 조선화포 중완구에 대한 형태적 특징을 파악하기 위하여 훼손된 중완구에 대한 3차원 스캐닝과 3차원 모델링, 3D 프린팅 기술을 이용한 문화재복원을 수행하였다. 이를 통해 본 연구에서 얻고자 하는 조선화포 중완구의 크기, 내부구조, 비례 등을 확인할 수 있었다. 또한 전장에서 훼손된 조선화포 중완구에 대한 복원을 통해 형태적, 운영방법, 주조방법 등을 파악함으로써 임진왜란 시기 조선 과학기술력의 우수성과 독창성을 확인할 수 있는 중요한 계기가 마련되었다. 본 연구는 "제4회 3D프린팅 BIZCON 경진대회"에 참가하여 대상인 과학기술부정보통신부 장관상을 수상한 주제이다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2008년도 추계종합학술대회 B
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• pp.491-495
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• 2008

본 연구에서는 중등 정보과학영재의 특성 분석을 위해 해당 과학영재교육원에서 최근 3년간 총 16명의 학습자와 이에 적용된 19개 프로그램과 관련하여 실시된 관찰 평가(체크리스트와 종합관찰지 기록)를 분석하였다. 본 연구에서 정보과학영재의 특성으로 드러난 것은 (1) 과제집착력 (2) 연역적 사고력 (3) 프로젝트 위주의 수행 능력에서의 우수성이다. 그러나 일반적인 영재의 특성으로 본 연구자는 다음과 같은 시사점을 얻을 수 있다. 첫째, 연구대상의 발달 단계상 세분화 과정이 별 의미가 없지 않는가 하는 것이다. 연구자가 대상으로 삼은 영재아들은 중학교 1학년 학생들로서 피아제의 발달단계에 따르면 형식적 조작기에 접어든 시기의 학생들이다. 따라서 아직은 세분화된 영역보다는 통합적 영역을 지도하는 것이 바람직해 보인다. 둘째, 영재아는 대부분의 분야에서 뛰어난 성취를 보이는 학생들이라는 점이다. 영재아들의 지적능력은 평균 이상이다. 또한 과제집착력이나 호기심이 매우 강하기 때문에 어떠한 분야든지 높은 성취도를 나타내고 있다. 따라서 영재교육에 있어 어떤 분야에 뛰어난 학생을 찾아내는 것도 중요하지만 각 분야에서 뛰어난 능력을 발휘할 수 있도록 프로그램을 더욱 정교화 하는 것이 중요하다.