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Muscat, Oman

Keceli Y.,Middle East College
Maritime Policy and Management

A multi-purpose cargo terminal in a seaport contains necessary infrastructure to handle different types of cargo, such as container, dry bulk, general bulk, and Ro-Ro. Since such terminals generally have dedicated areas and equipment for different types of cargo, berth, and yard operations for each type of cargo can be considered separate. On the other hand, trucks that carry all types of cargo use the same gate structure to enter and leave the terminal. Therefore, a method to superimpose the traffic that is caused by different types of cargo is needed for the planning of gate investments and operations. Consequently, this paper has developed a simulation model for a multi-purpose terminal to estimate the gate traffic and determine the necessary gate infrastructure, so that it can be used as a decision support tool for terminal planners and operational managers. © 2016 Informa UK Limited, trading as Taylor & Francis Group Source

Dakssa L.M.,Middle East College
2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016

Urban areas in mountainous regions of the world normally face frequent rock slope failures that often disrupt traffic flow and that might also cause serious damages to lives and properties in the vicinity. This paper therefore intends to discuss rock slope stabilization practices in urban areas in Sultanate of Oman. Even though there are different rock slope stabilization methods, no single method appears to provide a solution to the existing rock slope stability problems alone. So, the strategy should be to select a combination of available methods even if that makes the overall approach costly and challenging as well. The selection of a combination of different rock slope stabilization methods in turn should be guided by sound rock slope stabilization planning. Moreover, professional expertise and technology at one's disposal appear to play a vital role in the rock slope stabilization endeavor. © 2016 IEEE. Source

Dawood M.H.,Middle East College
2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016

Sustainable buildings with minimum energy consumption and with less negative impact to environment becomes an important goal of public and private organization all over the world. On the other hand, energy cost has a high contribution with the building Life Cycle Cost (LCC) for the owners. Subsequently, reducing energy consumption by selecting the best design options during the initial stages of any residential project is one of the key factors to that issue. The target of the proposed framework is to find the optimal design that gives a minimum life cycle cost over the building life span. The integration between Building Information Modeling (BIM) and Genetic Algorithm (GA) is used to reach the near-optimal solution. BIM is the simulation tool to generate the building design and dynamically analysis for the energy consumption of the house. The role of GA is to reach the solution by setting the effective variables and use a measurable objective function with proper constraints. The proposed model automatically identifies the most suitable house components to reach the minimum LCC during the design stage. Parametric programming language is used to facilitate interoperability between BIM and the other components of the model. © 2016 IEEE. Source

Ismail A.,Middle East College
2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016

Cities generate huge volumes of data that are diverse in nature and are generated on a daily basis. These data types involve environment, energy, transport and economic data. This includes structured and unstructured data which needs to be processed and understood to become valuable. By managing and analyzing big data, smart cities will be able to tackle formidable problems and ascend to a state where better and more informed decisions will be taken resulting in enhanced economic and environment outcomes leading to better quality of life. This paper reviews utilizing big data in cities by using big data analytics as a solution for smart cities and conceiving related issues being faced. © 2016 IEEE. Source

Samuel S.S.I.,Middle East College
2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016

The Internet of Things with its enormous growth widens its applications to the living environment of the people by changing a home to smart home. Smart home is a connected home that connects all type of digital devices to communicate each other through the internet. These devices form a home area network where communications are enabled by different protocols. As these devices are designed by different companies with different standards and technologies there is a problem exists in their connectivity. This paper aims at describing the wireless standards used in home network and how these protocols face the connectivity challenges in the smart home network. © 2016 IEEE. Source

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