• Title/Summary/Keyword: Shipping network

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Recognition of Identifiers from Shipping Container Image by Using Fuzzy Binarization and ART2-based RBF Network

  • Kim, Kwang-baek;Kim, Young-ju
    • Proceedings of the KAIS Fall Conference
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    • 2003.11a
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    • pp.88-95
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    • 2003
  • The automatic recognition of transport containers using image processing is very hard because of the irregular size and position of identifiers, diverse colors of background and identifiers, and the impaired shapes of identifiers caused by container damages and the bent surface of container, etc. We proposed and evaluated the novel recognition algorithm of container identifiers that overcomes effectively the hardness and recognizes identifiers from container images captured in the various environments. The proposed algorithm, first, extracts the area including only all identifiers from container images by using CANNY masking and bi-directional histogram method. The extracted identifier area is binarized by the fuzzy binarization method newly proposed in this paper and by applying contour tracking method to the binarized area, container identifiers which are targets of recognition are extracted. We proposed and applied the ART2-based RBF network for recognition of container identifiers. The results of experiment for performance evaluation on the real container images showed that the proposed algorithm has more improved performance in the extraction and recognition of container identifiers than the previous algorithms.

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A Trend Analysis on Export Container Volume Between Korea and East Asian Ports (우리나라와 동아시아 항만간의 수출 컨테이너 물동량 추이 분석)

  • Lee, Choong-Bae;Noh, Jin-Ho
    • Journal of Korea Port Economic Association
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    • v.34 no.2
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    • pp.97-114
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    • 2018
  • The East Asian region, an important part of Korea's imports and exports, is expected to grow further driven by the geographical, political, economic, social, and cultural complementarity. With the recent increase in imports and exports, the port trade volume between Korea and East Asian countries is also growing. However, due to various factors, such as economic size, growth rate, port infrastructure level, and geographical location of these countries, the volume of traffic with these ports is fluctuating. Despite much research on the volatility of port trade volume and changes in port network, this study tries to supplement the gap in a more detailed study of ports in Korea and East Asia since these kinds of studies are limited. The purpose of this study is to analyze the trend of distribution routes of export container cargo among ports in Korea and to present policy and practical implications of Korean trading companies, shipping companies, logistics companies, and port authorities. This study analyzes the variability of the trade volume between Korea's major ports and Daedong. Results show that Shanghai, Ningbo, Ho Chi Minh, and Haiphong were the most important factors in terms of size and volume increase. In terms of ports, the Busan port is the port responsible for trades with Yantai, Weihai, Hakata, Kobe, Ho Chi Minh, and Haiphong; Incheon port deals with Lianyungang, Tianjin, Osaka, Kobe, Ho Chi Minh, Haiphong; Gwangyang port trades with Tianjinxingang, Weihai, Yokohama, Mihn and Tanjong, and Ulsan port is strategically important for the Yantai, Lianyungang, Nagoya, Kobe, Ho Chi Minh and Portkelang ports. Therefore, the Korean government, port authorities, and shipping and logistics companies need to strengthen logistic network cooperation with these ports and actively promote investments in them.

Anomaly Detection Technique of Satellite on Network RTK (Network RTK 환경에서 위성에 의한 이상 검출 기법)

  • Shin, Mi Young;Cho, Deuk Jae;Yoo, Yun-Ja;Hong, Cheol-Ye;Park, Sang-Hyun
    • Journal of Navigation and Port Research
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    • v.37 no.1
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    • pp.41-48
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    • 2013
  • A positioning technique using the augmentation system has been researched to improve the accuracy. The network RTK is the precise positioning technique using carrier phase correction data from reference stations and is constantly being researched. The study for the system accuracy has been performed but system integrity research has not been done as much as system accuracy. In this paper, we presented the anomaly detection algorithm by satellite system and the diagnosis algorithm to a basic research in the integrity on network RTK. And the presented algorithms are verified on the DL-V3 dual-frequency receiver and the simulated error scenario using the GSS7700.

A Study on the Implementation of the Wireless Sensor Network System on Shipboard (선박 내 무선 센서 네트워크 시스템 구현에 관한 연구)

  • Ha, Yeon-Chul;Back, Dong-Won;An, Byung-Hun;Ko, Bong-Jin;Chung, Suk-Moon
    • Journal of Advanced Navigation Technology
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    • v.11 no.3
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    • pp.233-238
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    • 2007
  • In this paper, a wireless sensor network system was embodied inside the shipping for digital ship. First, the analysis of radio environment inside ship are investigated. As a result, it was confirmed that a wireless sensor network system can be applied inside the ship. Using Shipboard Wireless Sensor Network System based on IEEE 802.15.4 technique, we designed, and made the prototype of Zigbee Node and RFID Reader. We could be sensing on shipboard and testing entrance of crew by using Zigbee Node and RFID Reader. The sensing and exit or entry control data are transmitted a server system through internet that connected Wireless Gateway with AP, so we can monitoring the saved data on shipboard database.

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A Study on the Forecasting of Bunker Price Using Recurrent Neural Network

  • Kim, Kyung-Hwan
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.10
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    • pp.179-184
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    • 2021
  • In this paper, we propose the deep learning-based neural network model to predict bunker price. In the shipping industry, since fuel oil accounts for the largest portion of ship operation costs and its price is highly volatile, so companies can secure market competitiveness by making fuel oil purchasing decisions based on rational and scientific method. In this paper, short-term predictive analysis of HSFO 380CST in Singapore is conducted by using three recurrent neural network models like RNN, LSTM, and GRU. As a result, first, the forecasting performance of RNN models is better than LSTM and GRUs using long-term memory, and thus the predictive contribution of long-term information is low. Second, since the predictive performance of recurrent neural network models is superior to the previous studies using econometric models, it is confirmed that the recurrent neural network models should consider nonlinear properties of bunker price. The result of this paper will be helpful to improve the decision quality of bunker purchasing.

A Study on Harbor Logistics in China (중국의 항만 물류집중화에 관한 연구 - 상하이항과 장강을 중심으로 -)

  • Lee, Jong- Won
    • Journal of Navigation and Port Research
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    • v.31 no.3 s.119
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    • pp.187-195
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    • 2007
  • China has been the hub of business in Asia' and has developed infra-system and development policy on harbor and logistics. Investment on development of Sanghai port and fang river has been increasing. This development has put importance on logistics in East Asia Additionally, port surrounding of China has been activated Therefore, This paper is going to suggest three measures. First, shipping corporation of Korea will provide different services and network according to the growth of China logistics. Secondly, Korea is to invest with Chinese companies around fang river to freight service industry. Thirdly, it is to construct Yellow sea Rim transport network by Sanghai port and fang river development.

A study on the total marine tour "Platform Company" based on Social Network Service (SNS 기반 토털 해양관광 "플랫폼 컴퍼니" 구축에 관한 연구)

  • Lee, Nam-Kyu
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2011.11a
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    • pp.78-79
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    • 2011
  • Tourism demand is expected to continue to rise, actively respond to these demands and customer needs, optimize and differentiated consumer-based content development and delivery that incorporates principals of the need for mediation, is increasing. Smartphone and internet represented SNS collects information based on customer and customer needs by providing differentiated content to meet the cost and the total satisfaction of all tourism is needed to build Platform Company. Platform Company maximize the utilization of natural maritime resources, marine tourism to meet customer demand, profitable and stable income, including job creation are contributing to.

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Examination and Utility Analysis about SkySails System Application in the Coastal Waters (국내연안에서의 SkySails 시스템 활용에 대한 검토와 효용분석)

  • Park, Woo-Seok;Park, Jin-Hee
    • Journal of Navigation and Port Research
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    • v.32 no.10
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    • pp.813-819
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    • 2008
  • Many shipping companies have suffered about high oil cost and environment regulation as people are concerned about the environment, therefore concentrating on energy using efficiency of the ship. The Skysails Company of Germany developed Skysails System for 4 years, making Shipping Company take interest under such situation. Skysails System uses a large kite in the ship, decreasing fuel expenses. So examination and utility analysis on Skysails System application are a necessity by using weather condition in the Coastal Waters of Korea where feeder network was well-developed. As a result, we could find out the system's efficacy on fuel saving and environment cost saving.

Research Trends Analysis on Port Hinterland Using SNA Method (SNA 분석을 활용한 항만배후지 연구동향 분석에 관한 연구)

  • Song, Shi-cheng;Nguyen, Tuan-hiep;Park, Sung-hoon;Yeo, Gi-Tae
    • Journal of Digital Convergence
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    • v.16 no.11
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    • pp.17-27
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    • 2018
  • In this paper, the research trends of port hinterland from 1990 to 2018 were analyzed periodically using the Social Network Analysis (SNA) method. The data were collected from major academic journals and totally 116 papers were identified for analysis. The results of the analysis showed that in the first period (1990-1999), keywords can be listed as "containerization", "transport infrastructure" and developed countries related keywords like "Italy", "Canada" and "Germany". The results of the second period (2000-2009) were originated from keywords such as "regionalization", "competitiveness", "Asian consolidation" and "technology". In the third period (2010-2018), the results were derived from keywords such as "intermodal transport", "dry port", "container" and container related keywords and "shipping" and shipping related keywords. We could see the studies of port hinterland are becoming more systematic and integrated. This study provides some important implications for both academic, and industrial viewpoints, and it is helpful to understand the research concentration.

A Network Optimization Model for Strategic Itinerary Planning of Cruise Fleet (크루즈 선대의 운항일정계획을 위한 네트워크 최적화 모형)

  • Cho, Seong-Cheol;Won, You-kyung;Kim, Jung-Hyeon
    • Journal of Navigation and Port Research
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    • v.36 no.1
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    • pp.51-58
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    • 2012
  • In spite of today's rapid growth of world cruise industry, little academic attention has yet been given to the decision making problems for cruise operations. This research deals with strategic cruise itinerary planning that any cruise company should face. Increasing demands for international itineraries and redeployments of cruise ships are adding complexity to the itinerary planning. A slight modification of the conventional PERT/CPM network is adopted. to cope with this complexity systematically. By this, the concept of candidate itinerary network is suggested for each cruise ship. To integrate these candidate itinerary networks for each ship in a single framework, an integer programming model has been developed to find the optimal itinerary planning for any fleet of cruise ships. A numerical example, based on real cruise itinerary practices, is tested to validate and interpret the model.