• 한국표면공학회:학술대회논문집
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• 한국표면공학회 2016년도 추계학술대회 논문집
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• pp.198-198
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• 2016

An ideal orthopedic implant should provide an excellent bone-implant connection, less implant loosening and minimum adverse reactions. Commercial pure titanium (CP-Ti) and Ti alloys have been widely utilized for biomedical applications such as orthopedic and dental implants. However, being bioinert, the integration of such implant in bone was not in good condition to achieve improved osseointegraiton, there have been many efforts to modify the composition and topography of implant surface. These processes are generally classified as physical, chemical, and electrochemical methods. Plasma electrolytic oxidation (PEO) as an electrochemical route has been recently utilized to produce this kind of composite coatings. Mg ion plays a key role in bone metabolism, since it influences osteoblast and osteoclast activity. From previous studies, it has been found that Mg ions improve the bone formation on Ti alloys. PEO is a promising technology to produce porous and firmly adherent inorganic Mg containing $TiO_2$($Mg-TiO_2$ ) coatings on Ti surface, and the amount of Mg introduced into the coatings can be optimized by altering the electrolyte composition. In this study, a series of $Mg-TiO_2$ coatings are produced on Ti-6Al-4V ELI dental implant using PEO, with the substitution degree, respectively, at 0, 5, 10 and 20%. Based on the preliminary analysis of the coating structure, composition and morphology, a bone like apatite formation model is used to evaluate the in vitro biological responses at the bone-implant interface. The enhancement of the bone like apatite forming ability arises from $Mg-TiO_2$ surface, which has formed the reduction of the Mg ions. The promising results successfully demonstrate the immense potential of $Mg-TiO_2$ coatings in dental and biomaterials applications.

• 한국통신학회논문지
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• 제37권8B호
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• pp.657-667
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• 2012

본 논문에서는 OLSR의 MPR 선택방법을 개선함으로써 애드혹(ad hoc) 네트워크의 처리율(throughput), 지연 시간(delay) 등의 성능을 향상시킬 수 있는 S-MPR 선택 방법을 제안한다. OLSR의 MPR 선택 방법은 각 노드가 독립적으로 MPR을 선택하기 때문에 대부분의 노드가 MPR로 선택되는 문제가 있다. 이러한 문제를 해결하기 위해 기존에 제안되었던 MPR 후보(candidate) 선택 방법은 MPR의 수는 감소시킬 수 있지만 그로 인해 경로의 효율성과 네트워크의 연결성(connectivity)이 저하되는 문제를 갖고 있다. 본 논문에서 제안하는 S-MPR 방법은 이러한 문제를 해결하기 위해 각 노드 입장에서 가장 중요한 노드를 S-MPR로 선택하고 나머지 MPR은 MPR 후보를 이용하여 선택하는 방법을 사용한다. 따라서 제안 방법은 경로 효율성의 저하를 최소화하면서 MPR로 선택되는 노드의 수를 줄임으로써 TC 메시지로 인한 오버헤드를 최소화하고 MPR간의 충돌을 감소시킴으로써 처리율, 지연 시간 성능을 향상시킬 수 있다. 본 논문에서 제안한 S-MPR의 성능을 알아보기 위해 OPNET을 활용하여 시뮬레이션을 수행하고 제안 S-MPR의 성능이 가장 우수함을 보인다.

• Journal of Pharmaceutical Investigation
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• 제37권6호
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• pp.339-347
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• 2007

SMEDDS is mixture of oils, surfactants, and cosurfactants, which are emulsified in aqueous media under conditions of gentle agitation and digestive motility that would be encountered in the gastro-intestinal(GI) tract. The main purpose of this work is to prepare self-microemulsifying drug delivery system(SMEDDS) for oral bioavailability enhancement of a poorly water soluble drug, atorvastatin calcium. Solubility of atorvastatin calcium was determined in various vehicles. Pseudo-ternary phase diagrams were constructed to identity the efficient self-emulsification region and particle size distributions of the resultant micro emulsions were determined using a laser diffraction sizer. Optimized formulations for in vitro dissolution and bioavailability assessment were $Capryol^{(R)}$ 90(50%), Tetraglycol(16%), and $Cremophor^{(R)}$ EL(32%). The release rate of atorvastatin from SMEDDS was significantly higher than the conventional tablet ($Lipitor^{(R)}$), 2-fold. Our studies illustrated the potential use of SMEDDS for the delivery of hydrophobic compounds, such as atorvastatin calcium by the oral route.

• Journal of Information Processing Systems
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• 제14권3호
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• pp.751-770
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• 2018

Web applications are indispensable in the software industry and continuously evolve either meeting a newer criteria and/or including new functionalities. However, despite assuring quality via testing, what hinders a straightforward development is the presence of defects. Several factors contribute to defects and are often minimized at high expense in terms of man-hours. Thus, detection of fault proneness in early phases of software development is important. Therefore, a fault prediction model for identifying fault-prone classes in a web application is highly desired. In this work, we compare 14 machine learning techniques to analyse the relationship between object oriented metrics and fault prediction in web applications. The study is carried out using various releases of Apache Click and Apache Rave datasets. En-route to the predictive analysis, the input basis set for each release is first optimized using filter based correlation feature selection (CFS) method. It is found that the LCOM3, WMC, NPM and DAM metrics are the most significant predictors. The statistical analysis of these metrics also finds good conformity with the CFS evaluation and affirms the role of these metrics in the defect prediction of web applications. The overall predictive ability of different fault prediction models is first ranked using Friedman technique and then statistically compared using Nemenyi post-hoc analysis. The results not only upholds the predictive capability of machine learning models for faulty classes using web applications, but also finds that ensemble algorithms are most appropriate for defect prediction in Apache datasets. Further, we also derive a consensus between the metrics selected by the CFS technique and the statistical analysis of the datasets.

• 대한조선학회논문집
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• 제43권1호
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• pp.43-49
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• 2006

The hull form of icebreaking tanker depends on the trade route and ice characteristic. The hull form has to be designed for icebreaking concept if the vessel is operating in heavy ice and also the hull from has to be optimized for general tanker when the ship is operating in ice-free ocean. This paper presents comparison of ship resistance in pack ice, level ice and open water. Four ships are used to compare the resistance characteristic. One is conventional tanker and three ships are icebreaking tankers. The ice model test was carried out at the IOT (Institute for Ocean Technology, Newfoundland, Canada) and open water test was performed at 55MB (Samsung Ship Model Basin). The ice resistance of conventional tanker was predicted by Colbourne's method. The resistance of open water, pack ice and level ice are compared and discussed. The best hull form of icebreaker is not good in open water performance compare to conventional tanker. This result explains that the hull form of icebreaker and normal tanker have to compromise when the ship is operated in ice and ice-free condition. The result of this paper gives a guide for icebreaking tanker design.

• Nano
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• 제13권11호
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• pp.1850131.1-1850131.19
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• 2018

In this paper, an electrochemical sensor for epinephrine (EP), a neurotransmitter was developed by anchoring molecularly imprinted polymeric matrix (MIP) on the surface of gold-coated quartz crystal electrode of electrochemical quartz crystal microbalance (EQCM) using starch nanoparticles (Starch NP) - reduced graphene oxide (RGO) nanocomposite as polymeric format for the first time. Use of EP in therapeutic treatment requires proper dose and route of administration. Proper follow-up of neurological disorders and timely diagnosis of them has been found to depend on EP level. The MIP sensor was developed by electrodeposition of starch NP-RGO composite on EQCM electrode in presence of template EP. As the imprinted sites are located on the surface, high specific surface area enables good accessibility and high binding affinity to template molecule. Differential pulse voltammetry (DPV) and piezoelectrogravimmetry were used for monitoring binding/release, rebinding of template to imprinted cavities. MIP-coated EQCM electrode were characterized by contact angle measurements, AFM images, piezoelectric responses including viscoelasticity of imprinted films, and other voltammetric measurements including direct (DPV) and indirect (using a redox probe) measurements. Selectivity was assessed by imprinting factor (IF) as high as 3.26 (DPV) and 3.88 (EQCM). Sensor was rigorously checked for selectivity in presence of other structurally close analogues, real matrix (blood plasma), reproducibility, repeatability, etc. Under optimized conditions, the EQCM-MIP sensor showed linear dynamic ranges ($1-10{\mu}M$). The limit of detection 40 ppb (DPV) and 290 ppb (EQCM) was achieved without any cross reactivity and matrix effect indicating high sensitivity and selectivity for EP. Hence, an eco-friendly MIP-sensor with high sensitivity and good selectivity was fabricated which could be applied in "real" matrices in a facile manner.

• Journal of information and communication convergence engineering
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• 제20권1호
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• pp.22-30
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• 2022

The reinforcement learning algorithm has proven its potential in solving sequential decision-making problems under uncertainties, such as finding paths to route data packets in wireless sensor networks. With reinforcement learning, the computation of the optimum path requires careful definition of the so-called reward function, which is defined as a linear function that aggregates multiple objective functions into a single objective to compute a numerical value (reward) to be maximized. In a typical defined linear reward function, the multiple objectives to be optimized are integrated in the form of a weighted sum with fixed weighting factors for all learning agents. This study proposes a reinforcement learning -based routing protocol for wireless sensor network, where different learning agents prioritize different objective goals by assigning weighting factors to the aggregated objectives of the reward function. We assign appropriate weighting factors to the objectives in the reward function of a sensor node according to its hop-count distance to the sink node. We expect this approach to enhance the effectiveness of multi-objective reinforcement learning for wireless sensor networks with a balanced trade-off among competing parameters. Furthermore, we propose SDN (Software Defined Networks) architecture with multiple controllers for constant network monitoring to allow learning agents to adapt according to the dynamics of the network conditions. Simulation results show that our proposed scheme enhances the performance of wireless sensor network under varied conditions, such as the node density and traffic intensity, with a good trade-off among competing performance metrics.

• 한국ITS학회 논문지
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• 제21권1호
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• pp.17-34
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• 2022

본 논문은 수요대응형 모빌리티 이용객의 출발지와 목적지까지 최적 경로 산정을 위한 동적정류장 배정 모형을 개발하였다. 여기서 최적화를 위한 변수로는, 운영자 측면에서 버스통행시간과 이용자 측면에서 서비스 이용 시 추가로 소요되는 정류장까지 도보시간 및 대기시간, 우회시간을 사용하였다. 미국 캘리포니아주 애너하임과 주변 도시를 포함하는 네트워크를 대상으로 승객이 예약한 시종점에서 접근 가능한 동적정류장 리스트를 산정하고 K-means 클러스터링 기법을 이용하여 시종점 그룹들을 각기 차량에 배정하였다. 버스통행시간과 이용자 추가소요시간을 최소화하는 동적정류장 위치 및 버스노선 결정을 위한 모형을 개발하고 다목적 최적화를 위해 NSGA-III 알고리즘을 적용하였다. 최종적으로, 모델의 효용성을 평가하기 위해 이용자 추가소요시간 간의 변수를 조정하여 7개의 시나리오를 설정하였고 이를 통해 목적함수의 타당성을 분석하였다. 그 결과, 운영자 측면에서는 버스통행시간과 승객 대기시간만 고려한 시나리오가, 이용자 측면에서는 버스통행시간, 도보시간, 우회시간을 적용한 시나리오가 가장 우수하였다.

• 대한교통학회지
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• 제22권5호
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• pp.89-97
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• 2004

현재 군 수송기는 매주 일정 대수가 각 기지 간 물자수송, 인원수송 그리고 조종사들의 훈련목적으로 정해진 스케줄에 의해 운항하고 있다. 일일 수송기 운행 경로는 모 기지에서 이륙하여 몇 개의 기지를 경유하여 임무를 수행한 후, 다시 모 기지로 돌아오는 패턴을 취하고 있다. 본 연구는 공군의 중앙물자를 저장하는 창에서 각 기지로 물자를 수송할 때 물량예측 및 적정노선에 대해서 시계열분석과 차량경로모형이라는 두 가지 방법을 통해 접근한다. 먼저 현재 공군에서 사용하고 있는 각종 규정과 교범상의 항공수송에 대한 제약사항 자료를 수집하여, 이를 바탕으로 본 연구에서는 다회방문이 가능하고, 경우회수에 대한 제약을 갖는 모형시과 알고리즘을 제안하였다. 또한 지난 몇 년간의 수송물량을 시계열 분석을 이용하여 예측하고, 예측된 수송소요를 제안된 알고리즘에 적용하여 적정노선을 계획하는 방법을 제안하였다. 제안된 모형과 알고리즘의 적합성과 경제성을 파악하기 위해 본 연구에서는 모형에서 계산된 수송물량과 필요 수송기 대수와 실제 공군에서 수행된 항공화물 수송 물량과 투입 수송기 대수를 비교함으로써 객관적인 모형의 우수성을 입증하고자 하였다.

• Journal of Advanced Marine Engineering and Technology
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• 제41권1호
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• pp.8-14
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• 2017

2008년 금융위기로 인하여 세계 경제가 어려워지면서 국제 유가 상승과 물동량이 감소하였으며, 대다수의 대형선사들은 차선책으로 대형선박 발주, 항로변경 및 운항방식 등을 개선하여 적자폭을 줄이게 되었다. 특히, 저속 운항 방식은 눈에 띄는 연료비 절감으로 많은 선주사들로부터 호응을 얻었으나 장기간 저속 운전시 고속 운전에 최적화된 주기관의 재킷 청수 냉각시스템은 정상 운전온도를 유지하지 못하고 하강하여 저온부식의 발생을 가속화 하게 되었다. 이로 인해 엔진의 부하가 낮을 경우 기존에 설치되는 재킷 냉각수 냉각기의 역할은 감소하고 조수기의 사용도 제한이 됨으로 재킷 청수 냉각 시스템의 개선이 필요하게 되었다. 본 논문에서는 선박의 저속운항에 따른 선박용 디젤 주기관의 냉각시스템 개선 사항을 검토하기 위하여, 파나막스급 산적화물선인 82k와 케이프급 산적화물선 180k 선박들을 대상으로 주기관 재킷 냉각수 냉각기를 설치 및 미설치하여 주기관 청수 냉각 시스템의 성능 결과를 검토 및 비교 분석 하여, 현 저속 운항선박에 탑재되는 주기관의 성능변화에 적절한 냉각시스템의 설계 개선방안을 제안하였다.