Earticle

An acceptance test refers to a test that confirms whether the specified requirements are met. Recent studies on acceptance test automation appear to focus only on easy and simple test automation, while the importance of living documentation for the general application life cycle, which is the ultimate goal, is overlooked. Compared to traditional development methodologies, it points to marked absence of systematic planning and prediction, overhead due to the application of new process and tools, and in turn, a decline in development productivity. This study designed an architecture that can be used repeatedly through the common application of the agile software. Concrete action plans for automating the acceptance test are presented.

Speed-regulation characteristic of PMSM (permanent magnet synchronous motor) in marine electric propulsion system is studied in this paper. Governing method based on vector control is analyzed according to the mathematical model in two-phase rotating coordinate system. After that, a noble PID control strategy which raises dual closed-loop i.e. speed loop and stator current loop is proposed based on fuzzy control theory. Speed deviation and its rate are taken as inputs for adjustment of the PID controller. The strategy proposed in this paper improves the response of system, static and dynamic characteristics of PMSM servo system as well as anti-jamming capability. Finally, simulation results from Simulink show the correctness and realizability of our system.

This paper proposed an effective system about micro-expression cognition and emotional regulation. First, the micro-expressional face was mapped into Arousal-Valence-Stance 3D emotion space. The micro-expression recognition is based on 3D-Gradient projection descriptor and the gradient magnitude weighted Nearest Neighbor Algorithm (NNA) in facial feature regions. Second, Gross cognitive reappraisal strategy was introduced to emotion analysis. In this research the emotional regulation process operated in the continuous emotional space enabling a wide range of intermediary emotions to be obtained. Finally, the micro-expression recognition algorithm was tested with the Yale University’s facial database. The cognitive emotional system was applied to the human-robot interaction. The experiment results show that this micro-expression cognitive emotional model is generally consistent with human brain emotional regulation mechanisms and efficiently improve robot’s emotion humanoid.

In order to reduce hardware amount in a control unit, the CMCU (compositional microprogram control unit) that makes use of a property of operational linear chain by adopting counter into next-state logic, and DIA (dedicated input area) that splits control memory into two parts having different microinstruction formats are reviewed, and then the concept of TMI field of a DIA is extended to e-DIA in order to supplement the operation of a DIA. The occurrence of idle cycles is removed and microoperation missing or duplication in some cases is protected by applying the e-DIA to CMCU. CMCU with e-DIA is implemented using VHDL, and the improvements are validated through simulation.

In this paper, generalized predictive control based on particle swarm optimization (PSO-GPC) was applied to the control of linear Fresnel distributed collector system, of which the purpose was to reduce the system error in the dynamic process. The main goal of solar thermal power generation system control was to control the collector outlet temperature in a certain range. Using the the rate of heat transfer oil in heat collector as input, outlet temperature as output and solar radiation intensity as a disturbance signal, model of Controlled Auto-Regressive Integrated Moving Average(CARIMA）was established. The control task of generalized predictive control (GPC) was to make the actual outlet temperature of systems as close as possible to the desired output trajectory. Gradient optimization without constraints was used to obtain the optimal control input, and gradient optimization with constraints and PSO optimization were matched with each other. A multi-mode hybrid optimization method was formed, which can obtain the optimal control increment of system quickly and accurately. GPC and PSO-GPC technology was applied to Lanzhou 200kW linear Fresnel solar thermal power generation demonstration system. Through the simulation results obtained from actual data we can see that the PSO-GPC control technology can reduce the error of the system dynamic process compared to GPC control technology.

This paper presents a new low voltage tunable Low Pass (LP) filter for Software Defined Radios (SDR) wireless transceivers. The proposed LP filter attempts to optimize the performance of SDRs as it operates at relatively low voltage while providing wide tunable range at the same time. It is constructed using Gm-C technique employing three Operational Transconductance Amplifiers (OTA) and two grounding capacitors. The filter also exhibits independent electronic tuning of center frequency (fc) and quality factor (Q) providing more accuracy in its frequency response. Also its circuit can be synthesized to produce multiple other filter frequency responses by varying inputs which can be useful in other applications. The OTA is the main active element in the filter operating at input supply voltage of 1 V and providing open loop dc gain of 38 dB with power dissipation of 270 uW. The proposed LP filter is envisioned as a part of Zero-IF SDR architecture operating at a baseband section. Simulations are done in HSPICE using CMOS 0.18μm process parameters as functional verification of the presented theory.

To roughcast processing in construction is a complicated and inefficient working procedure，and now the equipment is defective in market. A new type of semi-automatic roughcast scraper mechanism was design in this paper, and the scraper board which is the key components been carried on the structure analysis and calculation, and to determine the formation of the scraper movement and the best installation angle; to analyzed the force of the scraper and provided theory basis for the optimal design.

Due to the uncertainty of the RFID measurements and limit of the placement of the readers, it’s necessary to use the estimation method to obtain more accurate trajectory in RFID indoor tracking system. While the traditional recursive estimation from K to K +1 sampling point may fail, because the measurement of RFID system is irregular sampling due to the data-driven measurement mechanism. This paper develops the tracking method for indoor RFID system, including estimation dynamic model based on the estimated states and nonlinear fusion estimation algorithm for variable-irregular sampling measurements. Two estimation methods were given based on the Extended Kalman filter (EKF) and Unscented Kalman filter (UKF), respectively. The tracking performances are compared and the simulation results show that the performance of UKF can get better performance for indoor RFID tracking, especially in the low detection rate area.