• ETRI Journal
• /
• 제38권5호
• /
• pp.962-971
• /
• 2016

A wireless power transfer (WPT) system is generally designed with the optimum source and load impedance in order to achieve the maximum power transfer efficiency (PTE) at a specific coupling coefficient. Empirically or intuitively, however, it is well known that a high PTE can be attained by adjusting either the source or load impedance. In this paper, we estimate the maximum achievable PTE of WPT systems with the given load impedance, and propose the condition of source impedance for the maximum PTE. This condition can be reciprocally applied to the load impedance of a WPT system with the given source impedance. First, we review the transducer power gain of a two-port network as the PTE of the WPT system. Next, we derive two candidate conditions, the critical coupling and the optimum conditions, from the transducer power gain. Finally, we compare the two conditions carefully, and the results therefore indicate that the optimum condition is more suitable for a highly efficient WPT system with a given load impedance.

• Journal of Advanced Marine Engineering and Technology
• /
• 제32권4호
• /
• pp.498-505
• /
• 2008

Many researches have been studied on in-cylinder flow as one of dominant effects for an engine combustion. The combustion phenomena of reciprocating engine is one of the most important processes affecting performance and emissions. One effective way to improve the engine combustion is to control the motion of the charge inside a cylinder by means of optimum induction system design. It is believed that the tumble and swirl motion generated during intake breaks down into small-scale turbulence in the compression stroke of the cycle. However, the exact nature of their relationship is not well known. To know this relationship definitely, this paper describes analytical results of the tumble motion, swirl motion, turbulence intensity, turbulence inside the cylinder of marine engine. 3-D computation has been performed by using STAR-CD solver and es-ice.

• 한국항해항만학회:학술대회논문집
• /
• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
• /
• pp.259-264
• /
• 2006

It is well known that the uncertainty of the covariance parameters of the process noise (Q) and the observation errors (R) has a significant impact on Kalman filtering performance. Q and R influence the weight that the filter applies between the existing process information and the latest measurements. Errors in any of them may result in the filter being suboptimal or even cause it to diverge. The conventional way of determining Q and R requires good a priori knowledge of the process noises and measurement errors, which normally comes from intensive empirical analysis. Many adaptive methods have been developed to overcome the conventional Kalman filter's limitations. Starting from covariance matching principles, an innovative adaptive process noise scaling algorithm has been proposed in this paper. Without artificial or empirical parameters to be set, the proposed adaptive mechanism drives the filter autonomously to the optimal mode. The proposed algorithm has been tested using road test data, showing significant improvements to filtering performance.

• 한국항해항만학회:학술대회논문집
• /
• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.2
• /
• pp.47-51
• /
• 2006

Among Solar activities' events, the geomagnetic storms are believed to cause the largest atmospheric effects. The geomagnetic storm is a complex process of solar wind/magnetospheric origin. It is well known to affect severely on the ionosphere. However, this effect of this complex process will maybe act at various altitudes in the atmosphere, even including the lower layer and the neutral middle atmosphere, particularly the stratosphere. Nowadays, the GPS-derived ZTD (zenith tropospheric delay) can be transformed into the precipitable water vapor (PWV) through a function relation, and further has been widely used in meteorology, especially in improving the precision of Numerical Weather Prediction (NWP) models. However, such geomagnetic effects on the atmosphere are ignored in GPS meteorology applications. In this paper, we will investigate the geomagnetic storms' effects on the middle atmosphere and troposphere (0-100km) by GPS observations and other data. It has found that geomagnetic storms' effect on the atmosphere also appears in the troposphere, but the mechanism to interpret correlations in the troposphere need be further studied.

• 한국항해항만학회지
• /
• 제37권4호
• /
• pp.345-350
• /
• 2013

제한수역에서 측벽부근을 대형선박이 항행할 경우, 측벽으로 인하여 발생하는 유체력이 대형선박의 조종운동에 상당히 크게 영향을 미친다는 것은 잘 알려져 있다. 이 논문에서는 방파제형상을 하고 있는 측벽 부근을 대형선박이 항행하는 경우, 선박과 방파제 형상간의 간섭력 추정을 위해 세장체 이론을 토대로 한 계산 방법을 적용하였으며, 선박에 미치는 측벽의 영향을 파악하기 위하여 방파제길이, 방파제와 선박간의 거리 및 수심을 변수로 하여 선박과 측벽과의 간섭력을 수치 계산하였다.

• 한국항해항만학회:학술대회논문집
• /
• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
• /
• pp.277-282
• /
• 2006

It is well known that Kalman filtering is an optimal real-time data fusion method for GPS/INS integration. However, it has some limitations in terms of stability, adaptability and observability. A Kalman filter can perform optimally only when its dynamic model is correctly defined and the noise statistics for the measurement and process are completely known. It is found that estimated Kalman filter states could be influenced by several factors, including vehicle dynamic variations, filter tuning results, and environment changes, etc., which are difficult to model. Neural networks can map input-output relationships without apriori knowledge about them; hence a proper designed neural network is capable of learning and extracting these complex relationships with enough training. This paper presents a GPS/INS integrated system that combines Kalman filtering and neural network algorithms to improve navigation solutions during GPS outages. An Extended Kalman filter estimates INS measurement errors, plus position, velocity and attitude errors etc. Kalman filter states, and gives precise navigation solutions while GPS signals are available. At the same time, a multi-layer neural network is trained to map the vehicle dynamics with corresponding Kalman filter states, at the same rate of measurement update. After the output of the neural network meets a similarity threshold, it can be used to correct INS measurements when no GPS measurements are available. Selecting suitable inputs and outputs of the neural network is critical for this hybrid method. Detailed analysis unveils that some Kalman filter states are highly correlated with vehicle dynamic variations. The filter states that heavily impact system navigation solutions are selected as the neural network outputs. The principle of this hybrid method and the neural network design are presented. Field test data are processed to evaluate the performance of the proposed method.

• 한국항해항만학회지
• /
• 제35권1호
• /
• pp.83-91
• /
• 2011

예측의 정확성은 비용의 감소나 고객서비스의 제고를 위해 필수적으로 선행되어야 하기에 현재까지도 많은 연구자들에 의해 연구되고 있는 분야이다. 본 연구에서는 국내 항만의 컨테이너 물동량 예측에 있어 대표적인 비선형예측모형인 인공신경망모형과 ARIMA모형에 대한 비교연구를 수행하는데 목적을 두었고, 컨테이너 물동량 예측력 제고를 위해 ARIMA모형과 인공신경망(ANN)모형을 결합한 하이브리드모형을 사용해 다른 모형들과 예측성과를 비교하고자 한다. 특히 인공신경망모형의 네트워크 구조 설계에 부분에 있어 방대하며 복잡한 탐색공간에서도 전역해 찾기에 효과적인 기법으로 알려져 있는 유전알고리즘을 사용함과 동시에 인공신경망의 대표적인 모형으로 알려진 다층 퍼셉트론(MLP)뿐만 아니라 시간지연네트워크(TDNN)를 사용해 예측성과를 비교하였다. 그 결과 ANN모형과 하이브리드모형이 ARIMA모형보다 더 뛰어난 예측성과를 보이는 것으로 나왔다.

• 한국항해항만학회:학술대회논문집
• /
• 한국항해항만학회 2004년도 Asia Navigation Conference
• /
• pp.14-21
• /
• 2004

It has already been two decades or more ever since the shipping and its related industries began to mature in advanced shipping countries. During that period, such countries have made various attempts for the survival of the industries. The advent of the so-called flags of convenience in a big way for the purpose of replacing crew members of their own expensive seamen by those of developing countries and the emergence of ship management companies, which are literally engaged in the management of ships, are the results of such movements. Some countries have been making efforts, as measures for the continued existence of the maritime industries, to create new marine-related businesses without regard to the traditional concepts of the industries. The movement toward the restructuring of a maritime society in Norway is well known as a typical example of such endeavors. The business of marine consultancy relating to maritime safety management field in our country is also a business that came into existence in such a stream toward the revitalization of the maritime society. In this paper, as well as placing in focus the current picture and problems of marine industries in our country, we would like to present approaches to tackle these problems employed by advanced industrial nations in the West, that is, moves toward the revival of maritime communities. Next, we propose, as one of the answers to solve such problems, the further development of a consulting business which takes advantage of simulators. Lastly, we show specific examples of application of a simulator to the consulting business, while commenting on the effects of its use.

• 한국수자원학회논문집
• /
• 제46권5호
• /
• pp.531-545
• /
• 2013

본 논문은 군산항의 유사퇴적 현상을 정량적으로 파악하고 그에 합리적인 대책을 마련하는데 활용하기 위해, 잘 알려진 EFDC 3차원 유사이송모형을 기초로 군산항의 퇴적고를 효율적으로 계산하기 위한 EFDC KUNSAN_SEDTRAN MODEL(2012)의 적용성에 대해 고찰하였다. 본 모형은 금강하구수리현상변화조사 보고서(Gunsan Regional Maritime Affairs and Port Office, 2004)의 여러 현장 관측치를 가지고 검정 및 검증을 수행했다. 검정 및 문헌조사를 통해, 본 모형의 점착성토사 침강속도(WS, Settling velocity), 퇴적한계전단응력(TD, Critical deposition stress), 기준침식률(RSE, Reference surface erosion rate), 침식한계전단응력(TE, Critical erosion stress)은 각각 2.2E-04m/s, 0.20 $N/m^2$, $0.003g/s{\cdot}m^2$, 0.40 $N/m^2$으로 확인되었다. 그리고 모형의 적용성을 검토하기 위해, 군산항의 13정점의 퇴적고(71일) 및 내항과 외항 정점의 부유사농도(15일)의 모형 계산치와 현장 관측치를 비교 검토했다. 그 결과 퇴적고 계산을 위한 모형의 적용성은 NSE계수가 0.86, 부유사농도 시간평균 상대오차(RE)가 23%로 평가되었다.

• 해양환경안전학회지
• /
• 제7권2호
• /
• pp.23-37
• /
• 2001

Marine environment has been polluted and damaged by many sources such as industrial waste, natural seepage, oil spill and offshore production etc. Among them, oil spill from oil tankers is one of most harmful sources to marine lives as its input amount is huge at a limited area for short period. In Korea, the port of Yeosu is known to be very vulnerable to oil spill with large amount of petroleum transported across the harbour. In this regards, the author analyzed and reviewed marine environment and appropriate response to marine oil spill at this area. For these purposes, oceanographic and meteorologic features as well as regional characteristics of harbor facilities, shipping routes, marine traffic and fisheries were investigated, also traffic densities were analyzed in order to check marine accident probabilities making direct observations for 72 hours visual1y and by portable radar.