• 대한교통학회지
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• 제27권6호
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• pp.157-166
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• 2009

교통망설계문제(network design problem, NDP)는 교통체계(transportation system)을 최적화시키는 설계변수(design parameter, design variable)를 구하는 문제이다. 본 연구에서는 교통망설계문제를 조금 변환시킨 목표지향 교통망설계문제(target-oriented network design problem, target-oriented NDP)를 제시하고 이를 풀기 위한 기법도 제시한다. 목표지향 교통망설계는 교통운영자(traffic operator) 또는 관리자(travel manager)가 특정 교통정책 목표(target)를 미리 설정하고 이를 달성하기 위한 최적 설계변수를 찾는 문제이다. 즉, 일반적인 교통망설계문제(general NDP)는 총통행비용이나 순편익 등 특정목적함수를 최적화시키는 설계변수를 찾는데 반해, 목표지향 교통망설계(target NDP)는 사전에 설정된 목표수준(target level)을 달성하기 위한 설계변수를 구하는 문제이다. 본 연구에서 제시된 목표지향 교통망설계모형을 교통수단분담문제에 적용하여 모형을 평가한다.

• 정보보호학회논문지
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• 제16권2호
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• pp.95-103
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• 2006

IPv6는 IPv4의 문제점을 해결하기 위해 설계된 새로운 인터넷 프로토콜이다. IPv4에서 IPv6로 새롭게 변경된 부분 중, 주소자동설정기능에 대해 살펴본다. IPv6에서는 NDP 메커니즘을 이용하여 네트워크 정보를 수집하여 주소를 설정한다. 현재의 표준안에는 NDP 프로토콜에 대한 보안방안으로 IPsec AH 메시지를 사용할 것으로 정의되어있으나, 초기 주소설정과 정에서는 주소가 없는 상태이므로 어떠한 보안연계도 적용할 수 없다. 이외에도 현재 NDP 프로토콜에서의 많은 보안문제점이 지적되고 있으며, 이러한 문제를 해결하기 위하여 SEND 프로토콜이 제안되었다. 본 논문에서는 NDP와 SEND 프로토콜상의 보안문제점을 분석하고, 이러한 공격에 대한 근본적인 문제점에 해당되는 IP 스푸핑 공격을 방지하기 위한 방안으로서, PKC와 AC 방식을 이용한 수정된 NDP 프로토콜을 제안한다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.620-626
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• 2004

For general nonlinear processes, it is difficult to control with a linear model-based control method and nonlinear controls are considered. Among the numerous approaches suggested, the most rigorous approach is to use dynamic optimization. Many general engineering problems like control, scheduling, planning etc. are expressed by functional optimization problem and most of them can be changed into dynamic programming (DP) problems. However the DP problems are used in just few cases because as the size of the problem grows, the dynamic programming approach is suffered from the burden of calculation which is called as 'curse of dimensionality'. In order to avoid this problem, the Neuro-Dynamic Programming (NDP) approach is proposed by Bertsekas and Tsitsiklis (1996). To get the solution of seriously nonlinear process control, the interest in NDP approach is enlarged and NDP algorithm is applied to diverse areas such as retailing, finance, inventory management, communication networks, etc. and it has been extended to chemical engineering parts. In the NDP approach, we select the optimal control input policy to minimize the value of cost which is calculated by the sum of current stage cost and future stages cost starting from the next state. The cost value is related with a weight square sum of error and input movement. During the calculation of optimal input policy, if the approximate cost function by using simulation data is utilized with Bellman iteration, the burden of calculation can be relieved and the curse of dimensionality problem of DP can be overcome. It is very important issue how to construct the cost-to-go function which has a good approximate performance. The neural network is one of the eager learning methods and it works as a global approximator to cost-to-go function. In this algorithm, the training of neural network is important and difficult part, and it gives significant effect on the performance of control. To avoid the difficulty in neural network training, the lazy learning method like k-nearest neighbor method can be exploited. The training is unnecessary for this method but requires more computation time and greater data storage. The pH neutralization process has long been taken as a representative benchmark problem of nonlin ar chemical process control due to its nonlinearity and time-varying nature. In this study, the NDP algorithm was applied to pH neutralization process. At first, the pH neutralization process control to use NDP algorithm was performed through simulations with various approximators. The global and local approximators are used for NDP calculation. After that, the verification of NDP in real system was made by pH neutralization experiment. The control results by NDP algorithm was compared with those by the PI controller which is traditionally used, in both simulations and experiments. From the comparison of results, the control by NDP algorithm showed faster and better control performance than PI controller. In addition to that, the control by NDP algorithm showed the good results when it applied to the cases with disturbances and multiple set point changes.

• The Plant Pathology Journal
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• 제39권5호
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• pp.417-429
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• 2023

Ralstonia solanacearum species complex (RSSC) is a soil borne plant pathogen causing bacterial wilt on various important crops, including Solanaceae plants. The bacterial pathogens within the RSSC produce exopolysaccharide (EPS), a highly complicated nitrogencontaining heteropolymeric polysaccharide, as a major virulence factor. However, the biosynthetic pathway of the EPS in the RSSC has not been fully characterized. To identify genes in EPS production beyond the EPS biosynthetic gene operon, we selected the EPS-defective mutants of R. pseudosolanacearum strain SL341 from Tn5-inserted mutant pool. Among several EPSdefective mutants, we identified a mutant, SL341P4, with a Tn5-insertion in a gene encoding a putative NDP-sugar epimerase, a putative membrane protein with sugar-modifying moiety, in a reverse orientation to EPS biosynthesis gene cluster. This protein showed similar to other NDP-sugar epimerases involved in EPS biosynthesis in many phytopathogens. Mutation of the NDP-sugar epimerase gene reduced EPS production and biofilm formation in R. pseudosolanacearum. Additionally, the SL341P4 mutant exhibited reduced disease severity and incidence of bacterial wilt in tomato plants compared to the wild-type SL341 without alteration of bacterial multiplication. These results indicate that the NDP-sugar epimerase gene is required for EPS production and bacterial virulence in R. pseudosolanacearum.

• Asian Pacific Journal of Cancer Prevention
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• 제15권2호
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• pp.731-736
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• 2014

Objective: To observe the short-term efficacy, long-term survival time and adverse responses with nedaplatin (NDP) or cisplatin (DDP) concomitant with other chemotherapy in treating non-small cell lung cancer. Materials and Methods: A retrospective, randomized, control study was conducted, in which 619 NSCLC patients in phases III and IV who were initially treated and re-treated were randomly divided into an NDP group (n=294) and a DDP group (n=325), the latter being regarded as controls. Chemotherapeutic protocols (CP/DP/GP/NP/TP) containing NDP or DDP were given to both groups. Patients in both groups were further divided to evaluate the clinical efficacies according to initial and re-treatment stage, pathological pattern, type of combined chemotherapeutic protocols, tumor stage and surgery. Results: The overall response rate (ORR) and disease control rate (DCR) in the NDP group were 48.6% and 95.2%, significantly higher than in the DDP group at 35.1% and 89.2%, respectively (P<0.01). In NSCLC patients with initial treatment, squamous carcinoma and phase III, there were significant differences in ORR and DCR between the groups (P<0.05), while ORR was significant in patients with adenocarcinoma, GP/TP and in phase IIIa (P<0.05). There was also a significant difference in DCR in patients in phase IIIb (P<0.05). According to the statistical analysis of survival time of all patients and of those in clinical phase III, the NDP group survived significantly longer than the DDP group (P<0.01). The rates of decreased hemoglobin and increased creatinine, nausea and vomiting in the NDP group were evidently lower than in DDP group (P<0.05). Conclusion: NDP concomitant with other chemotherapy is effective for treating NSCLC, with higher clinical efficacy than DDP concomitant with chemotherapy, with advantages in prolonging survival time and reducing toxic and adverse responses.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2011년도 제40회 동계학술대회 초록집
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• pp.425-425
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• 2011

The photocatalytic decomposition of toluene gas was investigated with $TiO_2$ on nano-diamond powder (NDP) under UV irradiation. Atomic layer deposition (ALD) was used for the growth of $TiO_2$ on the NDP. The structure and surface properties of catalysts were characterized by X-ray Diffraction (XRD), X-ray Photoelectron Spectroscopy (XPS) and Transmission Electron Microscopy (TEM). The photocatalytic activity for the toluene decomposition was evaluated by measuring the concentration change of toluene and $CO_2$ gas with gas chromatography (GC)-flame ionization detector (FID) system. The photocatalytic activities of $TiO_2$/NDP catalysts were compared with that of P-25. The rate of initial photocatalytic decomposition of toluene for the $TiO_2$/NDP catalysts was relatively lower when compared to P-25. The photocatalytic activity of P-25 was rapidly decreased with time, whereas, the deactivation of $TiO_2$/NDP catalysts was less pronounced. Therefore, as the reaction time increased, the photocatalytic activity of $TiO_2$/NDP catalysts became higher than that of P-25. The intermediates such as benzaldehyde or benzoic acid, etc were more easily adhered to the active site on the P-25 surface during reaction, resulting in easier deactivation of P-25. These results could be confirmed using FT-IR spectroscopy. We suggest that the NDP used as substrate can reduce the deactivation of $TiO_2$ on the surface.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2012년도 제38회 춘계학술대회논문집
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• pp.520-526
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• 2012

화포에서 탄저 압력이 포미 압력 보다 높은 역압력 구배가 발생하면 화포에 잠재적인 충격이 증가하는 것으로 알려져 있다. 화포의 안전성을 확보하기 위해 발사 과정에서 이 역압력 구배를 최소화시키는 설계가 필요하다. 이에 수치 해석을 통해 점화제 연소율이 역압력 구배에 미치는 영향을 조사하였다. 점화제 연소율 상수가 증가할수록 역압력 구배는 증가하였고, 특정 연소율 계수에서 급격한 압력변동이 발생하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.771-772
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• 2006

IPv6 nodes use the Neighbor Discovery Protocol (NDP) to discover other nodes on the link, to determine their link-layer addresses to find routers, and to maintain reachability information about the paths to active neighbors. If not secured, NDP is vulnerable to various attacks. This document specifies security mechanisms for NDP. Unlike those in the original NDP specifications, these mechanisms do not use IPsec.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.2617-2622
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• 2003

The pH neutralization process has long been taken as a representative benchmark problem of nonlinear chemical process control due to its nonlinearity and time-varying nature. For general nonlinear processes, it is difficult to control with a linear model-based control method so nonlinear controls must be considered. Among the numerous approaches suggested, the most rigorous approach is the dynamic optimization. However, as the size of the problem grows, the dynamic programming approach is suffered from the curse of dimensionality. In order to avoid this problem, the Neuro-Dynamic Programming (NDP) approach was proposed by Bertsekas and Tsitsiklis (1996). The NDP approach is to utilize all the data collected to generate an approximation of optimal cost-to-go function which was used to find the optimal input movement in real time control. The approximation could be any type of function such as polynomials, neural networks and etc. In this study, an algorithm using NDP approach was applied to a pH neutralization process to investigate the feasibility of the NDP algorithm and to deepen the understanding of the basic characteristics of this algorithm. As the global approximator, the neural network which requires training and k-nearest neighbor method which requires querying instead of training are investigated. The global approximator requires optimal control strategy. If the optimal control strategy is not available, suboptimal control strategy can be used even though the laborious Bellman iterations are necessary. For pH neutralization process it is rather easy to devise an optimal control strategy. Thus, we used an optimal control strategy and did not perform the Bellman iteration. Also, the effects of constraints on control moves are studied. From the simulations, the NDP method outperforms the conventional PID control.

• 한국강구조학회 논문집
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• 제21권1호
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• pp.15-26
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• 2009

본 연구의 목적은 실험을 통하여 복합 데크슬라브 시스템에 사용되는 쉬어 커넥터의 전단 성능을 연구하는 것이다. 경량콘크리트와 선조립 철선트러스를 사용하여 복합 데크슬라브를 가진 6개의 실험체를 제작하여, Push-out test를 실시하였다. 실험체는 철선트러스와 아연강판의 설치유무로 구분하여 DP, NDP, Solid의 세 가지 그룹으로 분류하였다. 전단 성능 실험을 통하여 실험체의 파괴양상, 거동, 하중-변위 관계를 분석하고, 실험값과 기존의 기준식을 비교하였고, 다음과 같은 결론을 도출하였다. 첫째, DP 및 NDP 계열의 파괴는 스터드 파괴이며, Solid계열의 파괴는 콘크리트 파괴였다. 둘째, 전단내력을 확인한 결과 NDP계열이 가장 우수한 내력을 갖는 것으로 나타났다. 셋째, 각 실험체의 스터드는 유사한 전단거동을 하였고, 스터드와 콘크리트는 항복시점까지 일체 거동을 하였다. 넷째, 다른 두 개의 기준식과 비교했을 때 ACI318-05의 기준식이 가장 근접한 스터드 전단력을 예측할 수 있는 것으로 확인되었다.