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Anecdotal evidence suggests that the variety of Big data is one of the most challenging problems in Computer Science research today [Stonebraker, 2012], [Ou et al., 2017], [Guo et al., 2016], [Bai et al., 2016]. First, Big data comes at us from a myriad of data sources, hence its shape and flavor differ. Second, hundreds of data management systems which work with Big data support different APIs and...
A stringent requirement of government policy on Carbon Monoxide (CO) and Nitrogen Oxide (NOx) emissions leads to the introduction of dry-low emission (DLE) gas turbines. Although Rowen's model is well established for a gas turbine dynamic study, its utilization for a DLE representation has not been extensively studied. Thus, the objective of this research is to study the suitability of using the Rowen's...
Multi-GPUs nodes are becoming the platform of choice for graph processing. However, in the multiple GPUs environment, there are two main challenges in designing a graph processing system. First, the system suffers from huge communication overhead. GPUs and CPUs are connected through PCIe, whose bandwidth is far smaller than that of GPU memory. Second, the system is developed based on BSP (Bulk Synchronous...
To increase flexibility, object-aware process management systems enable data-driven process execution and dynamic generation of form-based tasks at run-time. Therefore, a powerful access control concept becomes necessary to define which data elements users may read or write at a given point in time during process execution. The access control concept we present in this paper has been realized in the...
The vehicle digital cockpit system aims to provide driving information, diagnostic information, and convenience information of a vehicle to a driver in real time through digital display devices. The analog cockpit system is hard to change the layout due to its hardware-specific features. In contrast, the digital cockpit system can selectively provide various information suitable for the driving situation...
The Big data analytics gives new chances to the enterprises to enhance their management and manufacturing levels. A solution with case study is proposed to accomplish deep-level quality management based on big data analytics. First, the implementation of big data analytics based on industrial process data is illustrated with case study illustration. Through the analysis and feature extraction of off-line...
Although there are several tools available to simulate a Wireless sensor networks (WSN), few of them allow on-line simulation as WebShawn does. The tool can be considered as a complement of the existing experimental platforms allowing focus on implementation, collection, and analysis of data, in a relatively simple manner. The adopted software architecture is based on the remote simulation and visualization...
Cloud Computing represents one of the most significant shifts in information technology and it enables to provide cloud-based security service such as Security-as-a-service (SECaaS). Improving of the cloud computing technologies, the traditional SIEM paradigm is able to shift to cloud-based security services. In this paper, we propose the SIEM architecture that can be deployed to the SECaaS platform...
Apply Integrated Logistics Support (ILS) to weapon equipment can efficiently improve equipment's automation and digital level. ILS needs support of various integrated support systems, which have demands for data editing. Nowadays, most of data editing software used in these systems are customized and provide a form-based editing approach, which becomes an obstacle to carry out ILS. This paper brings...
There are so many works that have been performed to achieve semantic search, but few are integrated with enterprise applications such as documents management systems (DMS). While major search engines such as Google, Yahoo and Bing always introduce novel methods to enhance search experience, users of enterprise systems generally have to deal with form-based search infrastructures to access their data...
Virtual Environments have become a compelling tool for various applications beyond gaming and Virtual Worlds, for example for education, collaborative engineering, or simulation and visualization. In the emerging field of smart environments, like Smart Cities and Smart Factories for industry or agriculture, a digital counterpart of a real world site, driven by hundreds of Internet of Things (IoT)...
In this research, we try to model soot dynamics in a gasoline engine by using measurement data. In prior to the modeling, a problem of input selection is addressed, and Li regularization-based solution is proposed. The constructed soot model will be utilized for further developing and improving transient injection control.
This paper deals with the problem of identifying the mathematical model of a dry-clutch transmission system, from input-output data experimentally collected on a real vehicle. The proposed identification procedure is based on a set-membership identification approach, where a-priori information on the structure of the physical model are taken into account in the selection of the model class. Parameter...
Big data technologies are becoming widely used, not only for recording but also for analyzing human generated data. Indeed, the recent development in systems and technologies provided many areas with data processing technologies to extract meaningful information from massive amounts of data. A good example of areas where the generated data is voluminous is eLearning, e.g. Massive Open Online Courses...
It takes time to do feedback and control for the outer loop UAV system from failure to determine in the outer loop which will affect the stability of the system if not handled in time. As a large hysteresis delay complex systems it is the only way for UAV to master craft condition telemetry and remote data. UAV's prognostics and health management (PHM) technology, is to predict, monitor and manage...
Aircraft engine starting is usually defined as the operating range between zero and engine idle speed. A high-fidelity model of this process can be used not only for analysis and optimization of the start-up process, but also to reduce huge costs of rig test. In this paper a component level model of the process is developed using component characteristics extrapolation method to solve the key problem...
This research focuses on improving business process worked under workflow simulation. In the business process, there are several properties to be considered such as person, cost, time. The current workflow simulation cannot combine these properties to simulate the situation for business decision making. In this paper, the improving business workflow simulation is proposed by adding the business properties...
In this paper we propose an model driven approach for the specification and the execution of flexible workflows composed from cloud services. Flexibility of workflow means fast reactivity to internal and external changes. The basic challenge for workflow now is the ability to respond dynamic changes. To fulfill, we define functional and behavioral views of the flexible workflow. The first view is...
The data locality is significant factor which has a direct impact on the performance of MapReduce framework. Several previous works have proposed alternative scheduling algorithms for improving the performance by increasing data locality. Nevertheless, their studies had focused the data locality on physical MapReduce cluster. As more and more deployment of MapReduce cluster have been on virtual environment,...
A model of Wiener structure is presented in this work to represent the characteristics of an electronic throttle body. The proposed model consists of a linear submodel, which is used to capture the electric motor dynamics of the throttle body, and a nonlinear submodel, which is used to represent the nonlinearities in friction and spring torques. The relationship between the proposed model and the...
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