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The formulation of data-driven short-term traffic state prediction models is highly dependent on the characteristics of collected data. Mobile sensors, specifically, on-board cellular phones (CPs) have proven success in wide scale real-time traffic data collection, in areas with limited traffic surveillance infrastructure. In this research, four short-term travel speed prediction models have been...
The use of large-scale machine learning and data mining methods is becoming ubiquitous in many application domains ranging from business intelligence and bioinformatics to self-driving cars. These methods heavily rely on matrix computations, and it is hence critical to make these computations scalable and efficient. These matrix computations are often complex and involve multiple steps that need to...
In this paper a modified broadband 1–18 GHz double ridged guide horn antenna (DRGH) with a feeding section including coaxial input and a back shorting plate is introduced. The major differences with the conventional version are in shape of H-plane flares, removal of E-plane flares, shape of ridges and sizes of various parts. Since there is no explanation for the effects of most of the antenna parameters...
This paper presents a comprehensive approach to evaluate tie line operation control and stiffness for Sudan and Ethiopia networks. Tie line operation control evaluate by the frequency and area control error deviation from Sudan Stander, The work has been supported by on line measurement made for frequency deviation and area control error in the tie line.
High resolution imaging and its processing is one of the most researched areas now-a-days. Recognition of moving object in a remote scene is a challenging task because of presence of multiple objects present there. Similarly, to track an object after the recognition part is also difficult task because of constant change in not only the coordinates of the target object but also the objects that are...
Ladies and Gentlemen, welcome to the 2016 11th International Conference on Computer Engineering & Systems (ICCES). Organizing this annual event has been a continuous success for more than a decade. This conference provides a forum to exchange experiences and promote new trends in the field of computer and systems engineering. This year, the conference adopts four tracks of scientific research:...
Identifying data dependence among loop iterations is a fundamental step in the parallelisation process. Generally, code instrumentation provides for such information at the expense of high runtime performance penalty. This paper proposes an efficient method that trades slight accuracy reduction with significant performance gain to generate an approximate dependence graph. The proposed method relies...
In this paper, the Cost Effective and Efficient Autonomous Vehicle Using GPS and Magnetometer with HMI on LabVIEW is represented. The purpose of this research is to make an economical driverless vehicle which can drive itself to its destination without any human aid. The concept of Autonomous Spy Robot is also demonstrated which is able to move towards the desired location and provide the information...
Accurate optical flow techniques are widely used in spatio-temporal object detection in videos. However, the computational complexity of the currently used techniques limits the effectiveness of spatio-temporal detection in applications such as action detection and event recognition. Therefore, in this paper we aim at employing rapid yet accurate optical flow techniques to promote the effectiveness...
Role of Filters in electronic devices is evident in this modern era. Filtering is a term that is used in most DSP applications to pass specific frequencies and reject other ones. There is a wide range of application areas of digital filters including image processing, voice, and video and data communication. A large number of techniques are used to design IIR filters. This paper's idea is to design,...
The Compact Muon Solenoid (CMS) detector installed at the CERN Large Hadron Collider (LHC) has an extensive muon system which provides information simultaneously for identification, track reconstruction and triggering of muons. As a consequence of the extreme particle rate and high integrated charge, the essentiality to upgrade the LHC has given rise to the High Luminosity phase of the LHC (HL-LHC)...
The Compact Muon Solenoid (CMS) detector is one of the two general-purpose detectors at the CERN LHC. LHC will provide exceptional high instantaneous and integrated luminosity after second long shutdown. The forward region |η| ≥ 1:5 of CMS detector will face extremely high particle rates in tens of kHz/cm2 and hence it will affect the momentum resolution, efficiency and longevity of the muon detectors...
This paper presents the multicarrier PWM techniques studies based on the three Level shifted based modulation techniques; Phase Disposition PWM (PDPWM), Phase opposition disposition PWM (PODPWM), Alternate phase opposition disposition PWM (APODPWM) of a MMC based inverter and a comparative study is done based on total harmonics, voltage profile quality and load current waveforms. The Simulation has...
This paper introduces an approach for fast tracking, quantization and centreline extraction of small vascular structures in medical imaging, with the problem of coronary segmentation used as an example. The tracking is achieved by propagating an explicit surface. This surface is represented as a triangular adaptive mesh where the element size is adjusted based on the current size of the vessel. Adaptive...
A distributed automatic control solution for power allocation of wireless communication networks is proposed in this paper. The objectif is to combine the best features of both conventional and opportunistic power control, namely, fairness and opportunism on the QoS provision. In a first step, the Distributed Power Control (DPC) problem is formulated as a Linear Quadratic Regulator (LQR) problem....
The design of an autopilot for a space launcher during the atmospheric stage is known to be a hard control problem, which contains an important number of conflicting specifications. This difficulty is increased by the presence of flexible modes, some of them acting inside the bandwidth, and parameter uncertainties.
For the High-Luminosity LHC (HL-LHC) phase the CMS GEM Collaboration is planning to install new large-size (990×220–455mm2) triple-GEM detectors, equipped with a new readout system, in the forward region of the muon system (1.5< |η| <2.2) of the CMS detector. Combining triggering and tracking functionalities the new triple-foil Gas Electron Multiplier (GEM) chambers will improve both the performance...
Gas Electron Multiplier (GEM) technology is being considered for the forward muon upgrade of the CMS experiment in Phase 2 of the CERN LHC. Its first implementation is planned for the GE1/1 system in the 1.5 <| η |< 2.2 region of the muon endcap mainly to control muon level-1 trigger rates after the second long LHC shutdown. A GE1/1 triple-GEM detector is read out by 3,072 radial strips with...
The study objective is to develop a big spatial data model to predict the epidemiological impact of influenza in Vellore, India. Large repositories of geospatial and health data provide vital statistics on surveillance and epidemiological metrics, and valuable insight into the spatiotemporal determinants of disease and health. The integration of these big data sources and analytics to assess risk...
The study objective is to develop an epidemiological model of brucellosis transmission dynamics among cattle in India and to estimate the impact of different prevention and control strategies. The prevention and control strategies are test-and-slaughter, transmission rate reduction, and mass vaccination. We developed a mathematical model based on the susceptible-infectious-recovered epidemic model...
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