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Template Matching Algorithm For Noise Detection in Cargo Container

2018 Third International Conference on Informatics and Computing (ICIC), 2018

A seaport terminal providing services for inbound and outbound flow of cargo container often has issues with the handling of container. In some cases, the port is sued for damaged container which in fact has not been taken care properly before arriving in the port. Hence an automatic detection system for damaged container is needed. In this research, an algorithm ...


Semantic Intelligence in a Seaport Context

2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA), 2018

This research work proposes the framework for seaport partners to interact on a semantic level and scope related with jurisdictions/ecosystems and regions to share knowledge among partners. New steps towards dealing with the traditional common sense for managing or governing the seaport are required for assisting the new generation of managers and port authorities. Sematic intelligence answers dilemmas of complex ...


Internal traffic congestion: A new application of Kruskal’s Theorem

2019 Chinese Control And Decision Conference (CCDC), 2019

New technologies offer new possibilities to fight against internal traffic congestion in seaports. Only few researches have exploited this subject so far.Our study focuses on the internal traffic of vehicles. Indeed, congestion results in many little actions which lead to bigger consequences. In order to optimize the internal network, a reflexion on traffic in the stock zone will be done ...


Application of the Goal Method to Estimate Traffic Channel for Engineering Planning

2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 2019

Routinely plenty ships pass through the Kerch-Yenikalsky Channel they carry out both international and coastal voyages. Kerch Yenikalsky Channel is the only way out of the Azov Sea to the Black sea, therefore the economy of the ports of the Sea of Azov strongly depends on a possibility of fast and safe passage through the channel. The traffic capacity of ...


Applying Process Mining to the Ship Handling Process at Oil Terminal

2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS), 2019

Logistics processes are characterized by a high degree of complexity, dynamics, diversity, and human-centricity. The reasons are manifold - product complexity, unexpected events (such as strikes, weather conditions, accidents, etc.), and the high number of participants in the logistics processes. Improving our understanding and making the process more transparent can help to avoid risks and increase performance. The main purpose ...


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  • Template Matching Algorithm For Noise Detection in Cargo Container

    A seaport terminal providing services for inbound and outbound flow of cargo container often has issues with the handling of container. In some cases, the port is sued for damaged container which in fact has not been taken care properly before arriving in the port. Hence an automatic detection system for damaged container is needed. In this research, an algorithm to identify objects in a side-view of a cargo container is proposed. The objects include but not limited to company name of the cargo container, logo, identification code, signs, labels, and damages. By utilizing template matching algorithm, an algorithm to identify objects in container images has been developed. The achieved visual result was satisfactory as well as the computational aspect.

  • Semantic Intelligence in a Seaport Context

    This research work proposes the framework for seaport partners to interact on a semantic level and scope related with jurisdictions/ecosystems and regions to share knowledge among partners. New steps towards dealing with the traditional common sense for managing or governing the seaport are required for assisting the new generation of managers and port authorities. Sematic intelligence answers dilemmas of complex realities and alignments of strategies such as which strategic position may have the seaport facing the growing number of international networks and international treaties. In Management and Computational Sciences, semantic intelligence has been discussed mostly from technological perspectives; however, a higher thinking intelligence for managing and govern the seaport surplus the classical intelligence approach found in literature.

  • Internal traffic congestion: A new application of Kruskal’s Theorem

    New technologies offer new possibilities to fight against internal traffic congestion in seaports. Only few researches have exploited this subject so far.Our study focuses on the internal traffic of vehicles. Indeed, congestion results in many little actions which lead to bigger consequences. In order to optimize the internal network, a reflexion on traffic in the stock zone will be done under schemes of Kruskal’s Theorem, which will provide us the information needed about the potential effect of autonomous vehicles on the traffic as well as their potential power in reducing the risk of congestionWith this theorem, it is essential to consider a good ponderation of unexpected events that might be encountered on roads.Moreover, a new theory of management helping to limit congestions from social problems will be highlighted.

  • Application of the Goal Method to Estimate Traffic Channel for Engineering Planning

    Routinely plenty ships pass through the Kerch-Yenikalsky Channel they carry out both international and coastal voyages. Kerch Yenikalsky Channel is the only way out of the Azov Sea to the Black sea, therefore the economy of the ports of the Sea of Azov strongly depends on a possibility of fast and safe passage through the channel. The traffic capacity of the channel - up to 150 vessels per day, in 2017 up to 60 vessels passed daily. Due to the construction of the bridge across the Kerch Strait some changes as for dimensions of vessels were made, it was allowed them to pass through the Channel. In addition to the size of the vessel, it's also necessary to take into account some hydrometeorological and seasonal factors such as fogs, icing, and storms. Under such conditions, to ensure the safety of navigation, it is necessary to have a system of support for making decisions by the STSC operator (ship's traffic separation center), which will be able to accurately estimate the width of the vessel's lane and thus it allows to assess the risks of passing the channel.

  • Applying Process Mining to the Ship Handling Process at Oil Terminal

    Logistics processes are characterized by a high degree of complexity, dynamics, diversity, and human-centricity. The reasons are manifold - product complexity, unexpected events (such as strikes, weather conditions, accidents, etc.), and the high number of participants in the logistics processes. Improving our understanding and making the process more transparent can help to avoid risks and increase performance. The main purpose of this paper is to show a practical application of process mining in the specific domain of seaport terminals. We apply process mining techniques to real port data and discover process models without a priori knowledge. A new framework for the improvement of process mining results using context-aware information in terms of seaports is proposed.

  • Energy Harvesting From Harbor Cranes With Flywheel Energy Storage Systems

    Seaports are specifically designed for trading purposes. They are equipped with facilities for handling industrial and commercial goods as well as raw materials stored in containers. These facilities are often based on diesel cranes, which are noisy and produce air pollution. A possible solution to address this problem is replacing the diesel-power cranes with the electric ones. This idea, however, demands a high power connection to the grid in the seaport. This paper presents a cost-effective and environmentally friendly solution based on an electrical flywheel system to reduce electricity consumption from the electrical power network while improving system efficiency by using already existing technologies. Besides, this study presents a new method for controlling electrical drives using flywheel energy storage systems in harbor crane applications by exploiting the energy harvested from the cranes. The system model, including the electrical grid, cranes, power electronic drives, and flywheels as energy storages, is presented and an effective control methodology is developed. Simulation results of a practical crane system are presented and discussed. Practical lab-scale setup is also built and tested. The results have shown that by using the proposed method, the energy can be effectively harvested from the crane into the flywheel energy storage system during its operation, which significantly enhances the harbor power system efficiency as well as supply quality.

  • Towards Smart Port: An Application of AIS Data

    A seaport is a dynamic environment which plays a crucial role in the global economy. It includes various activities such as transportation, logistic, fishing, rescue operations and protection of the environment against its destructive impacts that make tremendous challenges. In this paper, we investigate the smart port concept as the last generation of traditional ports reinforced with technologies such as Internet of Things (IoT). We propose an architecture for the smart port and discuss its different levels as well as its challenges. In addition, we introduce CLASSE project which is a step forward in making the port of Le Havre smart. The project utilizes Automatic Identification System (AIS) data as its main data source. Finally, we present some AIS analyses which could be the use cases and services of a smart port. These analyses show how the port is operating.

  • Enabling Industrial Data Space Architecture for Seaport Scenario

    The evolution of seaports to smart ports is the most important revolution they must face in order to meet the high requirements of efficiency, economy, and security. Achieving this evolution is a task full of challenges. One of these challenges is the interoperability of the stakeholders' information systems. Interoperability has been widely studied but there is still some reluctance to adopt the solutions because the stakeholders are afraid of sharing their data. Recently, the Industrial Data Space (IDS) reference architecture proposes several recommendations and specifications to solve this issue based on data sovereignty concept. This architecture has not been studied nor implemented for the seaport use case yet. For this reason, this paper presents a seaport data space based on IDS architecture to share information in a secure and interoperable manner. Along with this, a big data architecture is added to exploit the shared data. The seaport data space is implemented using the FIWARE IoT platform. The seaport data space is tested by sharing the data of the port authority to the port terminal and analyzing the large shared data through descriptive analysis. The results show that by using the seaport data space, the shared data allow improving the decision making in the planning operations of the seaport.



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