Abstract: We studied the effects of using industrial steel solid wastes resulted from lathes to enhance the compressive strength of concrete. In average, 3-4 Kg/lathe of steel waste fibers are produced on daily basis. Such steel waste can be recycled in order to mitigate its environmental hazards. Moreover, ...     Read More

Abstract: Soil improvement techniques have been widely used to enhance the engineering properties of weak soils that do not satisfy construction conditions, mainly in terms of bearing capacity. In our case, a weak soil classified as Lean Clay with Sand (AASHTO classification system) was improved adding Lime w...     Read More

Abstract: The formidable challenge confronted by engineers of this century is designing and construction of sustainable infrastructures that support civilization. Such modern structures in urban dwellings inevitably induces new deep excavations to be built close to existing piled foundations. In order to asse...     Read More

Abstract: This research aims to establish the differences that are produced when calculating the volume of the excavation of a tunnel by means of equidistant cross sections obtained from a 3D model, and the 3D model itself, which was obtained from laser scanner data. The purpose of this research intends to co...     Read More

Abstract: In this study, the effect of anionic functional group change of polycarboxylate-ether based water reducing admixture on some fresh state properties and compressive strength of the cement paste and mortar mixtures was investigated. For this purpose, in addition to the control admixture having 100% of...     Read More

Abstract: The incoming technologies and the fifth generation in telecommunication systems are characterized by the spread of IoT sensors and the application of IPv6, as internt will be eveywhere with zero cost. But, unfortuntly the proliferation of IoT devices will consumes a lot of energy, and embrace toxic ...     Read More

Abstract: This research is a comparison for forecasting methods for ground-level ozone using ARIMA (Auto-Regressive Integrated Moving Average) and GARCH (Generalized Autoregressive Conditionally Heteroskedastic) for the forecasting of four places in Thailand, from January 2013 to August 2018. The results obta...     Read More

Abstract: Artificial Intelligence is getting as smart as human and it is capable of replacing humans in many fields, for example, in medical and in education fields or in business. One of the reasons to use AI was for customers service and care. In this study, the researcher has developed a simulation program...     Read More

Abstract: Collision free dynamic slot scheduling in ad-hoc networks is NP complete problem. In most of the distributed networks, scheduling is performed by cluster heads or relay nodes. A sophisticated method is needed for nodes to perform dynamic schedule on their own and update the state of resources. Recen...     Read More

Abstract: Existing traffic light controls are ineffective and causes a handful of problems such as congestion and pollution. The purpose of this study is to investigate the application of deep reinforcement learning on traffic control systems to minimize congestion at a targeted traffic intersection. The traf...     Read More