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In this paper, a time reversal technique is proposed to enhance detection performance. When the time reversal technique is applied to the response of the clutter with strong time varying characteristic of shallow water, it is hard to obtain a high peak response. However, in the case that a cylindrical object is placed on the seafloor, However, in the case that a cylindrical object is placed on the...
Clean air is one of the most important needs for the well-being of human being health. In smart cities, timely and precise air pollution levels knowledge is vital for the successful setup of smart pollution systems. Recently, pollution and weather data in smart city have been bursting, and we have truly got into the era of big data. Ozone is considered as one of the most air pollutants with hurtful...
Hydrogen can be produced from water electrolysis. However for the design and control of this process, there is a need for an accurate model for the description of thermodynamic properties of electrolyte solutions such as activity coefficient. The Pitzer model has been applied in this work to correlate the mean ionic activity coefficient of a large number of aqueous electrolytes at 298.15K using experimental...
Data protection is the process of backing up data in case of a data loss event. It is one of the most critical routine activities for every organization. Detecting abnormal backup jobs is important to prevent data protection failures and ensure the service quality. Given the large scale backup endpoints and the variety of backup jobs, from a backup-as-a-service provider viewpoint, we need a scalable...
In the oxygen-containing defect of insulation, corona discharge caused high temperature is the main reason for the cleavage of chemical bonds, which would lead the insulation failure. To address the problems, some of ReaxFF simulations are carried out to reveal the aerobic pyrolysis of widely-used insulation Kapton-type polyimide. The effects of temperature and its elevation gradient on the disintegration...
This paper presents the methodology used in patient-specific calibration of a novel highly integrated model of the cardiovascular and pulmonary pathophysiology associated with Acute Respiratory Distress Syndrome (ARDS). We focus on data from previously published clinical trials on the static and dynamic cardio-pulmonary responses of three ARDS patients to changes in ventilator settings. From this...
Using first-principles calculation within density functional theory, we study the gas (H2O, H2, H2S, and CO2) adsorption properties of single-layer indium nitride (InN). The four different adsorption sites (Bridge, In, N, Hollow) are chosen to investigate and the most sensitive adsorption site is found (N site for H2 and H2O gases; In site for H2S; center site for CO2) based on the adsorption energy,...
This contribution presents and analyzes modeling and minimum cost operation of proton exchange membrane (PEM) fuel cells and electrolyzers. First, detailed thermoelectric models of the electrochemical technologies based on a first-principle approach are presented. Then, as the detailed nonlinear models developed are intractable for use in online optimal control computation, a mixed integer linear...
This paper presents the modelling and identification procedure applied to a coupled, non-minimum phase system consisting of six water tanks. This process is composed of three inter-connected sub-systems coupled through the inputs. Using the process description, the theoretical nonlinear model was derived and linearised around a chosen operating point. After that, a three part experiment was conducted...
Growing amounts of data will be one of consequences in Industry 4.0. This paper deals about mining frequent patterns and important factors in data. Classification is one of the most common assignments in data analytics. We used letter recognition data from the UCI repository as data set for our experiment. Data set contains more than 20000 instances of 26 classes. In our case, it represents multi-class...
The existence of trees in the path of a communication link has an impact on quality of received signal. Trees can be classified broadly into deciduous and coniferous (evergreen). Seasonal effect on signal strength due to obstruction of deciduous trees is well discussed in literature, where offset values are usually added to path loss to account for seasons' effect for in-leaf and out-of-leaf propagation...
This work is based on a real-life data-set collected from sensors that monitor drilling processes and equipment in an oil and gas company. The sensor data stream-in at an interval of one second, which is equivalent to 86400 rows of data per day. After studying state-of-the-art Big Data analytics tools including Mahout, RHadoop and Spark, we chose Ox data's H2O for this particular problem because of...
Clear underwater vision is crucial to many research and realistic applications in ocean engineering, ocean biology, and ocean science. However, owing to particular propagation properties of light beneath water, underwater images usually have poor quality including low contrast, blurring, darkness, and color diminishing. In this article, a new underwater image restoration algorithm is proposed that...
Industrial focus on environmental impact involves exploitation of internal resources. Water reuse is one of the topic and some characteristics have to be measured in order to evaluate the quality of a process water stream. Analytical estimation of water main properties becomes fundamental when preliminary study about reuse feasibility is required. This kind of evaluation for properties such as pH,...
In this study, the three-dimensional (3-D) transient cold start model is applied to the real-scale polymer electrolyte fuel cell (PEFC) geometry and transient cold-start simulations are carried out from subzero to normal temperatures. In order to reduce the computational turnaround time involving a large numerical mesh with millions of grid points, the cold start code is parallelized for parallel...
The Aerodynamic design of a “BlimPlane”, (hybrid of Blimp and Airplane) for future in-situ exploration of Venusian atmosphere in 60 to 80 km altitude range has been addressed. It is capable of powered and unpowered operations. The airplane is powered by solar panels installed on its top and bottom surfaces. It is assisted by buoyancy for unpowered operations. The analysis is done by Computational...
Simulators are extensively used as a tool for industrial training, design and development. The overall improvement in computational speed of simulator is very important and can be improved by redesigning the mathematical simulation models or by using faster computational platforms. Modern day simulators are using cloud computing platforms and other high performance computing systems. The complex algorithms...
This study addresses the analysis of THz absorption spectra of solvated biomolecules. Simulation results of tryptophan cage (TRP-cage) protein solvation dynamics are obtained using the molecular dynamics package, Gromacs. The relative THz absorbance by the hydration shell around a protein is calculated based on the information related to the dipole auto-correlation function (ACF) and velocity ACF.
The commonly used Soil Conservation Service Curve Number (SCS-CN) for surface runoff modeling is largely dependent on the Hydrologic Soil Groups (HSGs) which are derived through aggregation of all soil types into four hydrologic groups. The derived CN largely mutes away original soil attribute details. A fuzzy approach refining CN according to soil hydrologic properties was developed to preserve difference...
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