Current Issue : July - September Volume : 2018 Issue Number : 3 Articles : 5 Articles
Heating, ventilation, and air conditioning (HVAC) system is significant to the\nenergy efficiency in buildings. In this paper, temperature control of HVAC\nsystem is studied in winter operation season. The physical model of the zone,\nthe fan, the heating coil and sensor are built. HVAC is a non-linear, strong\ndisturbance and coupling system. Linear active-rejection-disturbance-control\nis an appreciate control algorithm which can adapt to less information,\nstrong-disturbance influence, and has relative-fixed structure and simple tuning\nprocess of the controller parameters. Active-rejection-disturbance-control of\nthe HVAC system is proposed. Simulation in Matlab/Simulink was done. Simulation\nresults show that linear active-rejection-disturbance-control was\nprior to PID and integral-fuzzy controllers in rising time, overshoot and response\ntime of step disturbance. The study can provide fundamental basis for\nthe control of the air-condition system with strong-disturbance and\nhigh-precision needed....
This paper aims to connect the bridge between analytical results and the use of the computer for numerical simulations in\neconomics. We address the analytical properties of a simple dynamic aggregate demand and aggregate supply (AD-AS) model\nand solve it numerically. The model undergoes a bifurcation as its steady state smoothly interchanges stability depending on the\nrelationship between the impact of real interest rate on demand for liquidity and how fast agents revise their expectations on\ninflation. Using code embedded into a unique function in Matlab, we plot the numerical solutions of the model and simulate\ndifferent dynamic adjustments using different parameter values. The same function also accommodates the analysis of the impacts\nof fiscal and monetary policy and supply side shocks on the steady state and the transition dynamics of the model...
Background. Brain computer interface (BCI) is a combination of software and hardware communication protocols that allow brain\nto control external devices. Main purpose of BCI controlled external devices is to provide communication medium for disabled\npersons.Now these devices are considered as a new way to rehabilitate patients with impunities. There are certain potentials present\nin electroencephalogram(EEG) that correspond to specific event.Main issue is to detect such event related potentials online in such\na low signal to noise ratio (SNR). In this paper we propose amethod that will facilitate the concept of online processing by providing\nan efficient filtering implementation in a hardware friendly environment by switching to finite impulse response (FIR).Main focus\nof this research is to minimize latency and computational delay of preprocessing related to any BCI application. Four different finite\nimpulse response (FIR) implementations along with large Laplacian filter are implemented in Xilinx System Generator. Efficiency\nof 25% is achieved in terms of reduced number of coefficients and multiplications which in turn reduce computational delays\naccordingly....
Probes for CNC machine tools, as every measurement device, have accuracy limited by\nrandom errors and by systematic errors. Random errors of these probes are described by a parameter\ncalled unidirectional repeatability. Manufacturers of probes for CNC machine tools usually specify\nonly this parameter, while parameters describing systematic errors of the probes, such as pre-travel\nvariation or triggering radius variation, are used rarely. Systematic errors of the probes, linked to the\ndifferences in pre-travel values for different measurement directions, can be corrected or compensated,\nbut it is not a widely used procedure. In this paper, the share of systematic errors and random errors\nin total error of exemplary probes are determined. In the case of simple, kinematic probes, systematic\nerrors are much greater than random errors, so compensation would significantly reduce the probing\nerror. Moreover, it shows that in the case of kinematic probes commonly specified unidirectional\nrepeatability is significantly better than 2D performance. However, in the case of more precise\nstrain-gauge probe systematic errors are of the same order as random errors, which means that errors\ncorrection or compensation, in this case, would not yield any significant benefits....
The software defined network and network function virtualization are proposed to address the network ossification issue\nin current Internet infrastructure. Network functions and services are implemented as software applications to increase the\nprogrammability of network. However, involving general purpose processors in data plane restricts the bandwidth of network\nservices. Therefore, to keep both the bandwidth and flexibility, a FPGA platform is suggested as a reconfigurable platform to\ndeliver high bandwidth virtual network functions on data plane. In this paper, the FPGA resource has been virtualized by\ninterconnecting partial reconfigurable regions to deliver high bandwidth reconfigurable processing on network streams.With the\nhelp of partial reconfiguration technology, network functions on our platform can be configured without affecting other functions\non the same FPGA device. The on-chip interconnect system is further evaluated by comparing with existing network-on-chip\nsystem. A reconfiguration process is also proposed and demonstrated that it can be performed on our platform. The process can\nhappen in the real time of network services and it is able to keep the original function working during the download of partial\nbitstream....
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