Forest park landscape pattern system based on FPGA and GIS system

Perceptual scenes and scene swing surveys are the ideas for reminding local and wooded area park executives and scene placement. The maximum precise analysis of panorama visualization, forest park landscapes, planning of essential scenic spots, and visualization and safety of Geographic Information Systems (GIS) cost tools is primarily based on management and historical data. Visual impacts and cultural, historical past adjustments to are expecting visual and natural landscapes. By deciding on points from a panorama attitude, intervention calls for vital signs and symptoms of safety. Among them, studies are being carried out in many towns around the arena. Geographic Information System (GIS) depends simply on noticeable assessment and is remembered for the social legacy plan. The Gate Array (FPGA) and Geographic Information System (GIS) are analyzed based on the panorama in every place within the painting's framework. In these activities, landscape planning is proposed thru the development of scientific Piedmont. Turin is conducting a few research. From a global attitude, the version suggests that these packages reduce the capability use of the era.     

Fuzzy functions based ARX model and new fuzzy basis function models for nonlinear system identification

In this study, auto regressive with exogenous input (ARX) modeling is improved with fuzzy functions concept (FF-ARX). Fuzzy function with least squares estimation (FF-LSE) method has been recently developed and widely used with a small improvement with respect to least squares estimation method (LSE). FF-LSE is structured with only inputs and their membership values. This proposed model aims to increase the capability of the FF-LSE by widening the regression matrix with lagged input–output values. In addition, by using same idea, we proposed also two new fuzzy basis function models. In the first, basis of the fuzzy system and lagged input–output values are structured together in the regression matrix and named as “L-FBF”. Secondly, instead of using basis function, the membership values of the lagged input–output values are used in the regression matrix by using Gaussian membership functions, called “M-FBF”. Therefore, the power of the fuzzy basis function is also enhanced. For the corresponding models, antecedent part parameters for the input vectors are determined with fuzzy c-means (FCM) clustering algorithm. The consequent parameters of the all models are estimated with the LSE. The proposed models are utilized and compared for the identification of nonlinear benchmark problems.     

Control of a magnetic levitation system with communication imperfections: A model-based coupling approach

This work presents a control strategy to control a magnetic levitation system under the influence of coupling imperfections (disturbances). To overcome problems arising whenever the interconnections between plant and controller have a non-negligible influence on the control-loop behavior a so-called model-based coupling approach is used. The main idea of this coupling approach is to use prediction schemes based on recursively identified plant and controller models which compensate for performance degradation due to coupling imperfections. Coupling failures such as time-delays, data-losses and noise drastically influence the control-loop performance. Especially when systems in form of real hardware (real-time systems) are present such disturbances have to be handled adequately. To demonstrate the effectiveness of the model-based coupling approach, a control-loop of a magnetic levitation system is analyzed in simulation as well as in real world laboratory setup (HiL simulation). Furthermore a first insight into the stability analysis of closed-loop systems including the model-based coupling technique is performed for a simplified configuration.     

两株不同铁氧化细菌合成的沉淀差异性分析

通过ICP-AES、SEM、XRD和FTIR等方法，对不同铁氧化细菌在不同温度条件下所合成的赭黄色高铁沉淀进行了分析。结果表明：无论是嗜铁钩端螺旋菌DY菌株（Leptospirillum ferriphium），还是嗜酸氧化亚铁硫杆菌GF菌株（Acidithiobacillus ferrooxidans）合成的沉淀都是黄钾铁矾和黄铵铁矾的混合物；其中，GF合成的沉淀混合物中黄钾铁矾的含量比DY合成的黄钾铁矾约高出5．53％；而DY合成的沉淀中，黄铵铁矾的含量比GF合成的沉淀中的黄铵铁矾的含量约高出15．24％。     

Urban underground space planning based on FPGA and virtual reality system

The underground plaza is a place of leisure activities for citizens, represents the quality of the city's underground space, experience, so the space is significant. The present study of the ten large-scale urban underground space of the study summarized the essential elements and the underground plaza of the corresponding numerical interval's interface form. It describes the interface format's spatial experience of influence an underground plaza; on this basis, the underground plaza virtual model is built in a different interface format. The isovist method and the SD method to comb the Immersive Virtual Reality System (IVRS) platform, the shape of the interface and spatial experience, and the correlation between the related compliance indicators proposed interface form are quantitative analysis. It is summarized. Experimental results, spatial experience have indicated better at 0.402 interface density and interface 2–3 aperture aspect ratio. This is, it can become a reference and basis for the future of urban underground space design.     

压盖导流通风降温技术对储藏稻谷品质的影响

采用压盖导流通风降温技术储藏稻谷,研究稻谷储藏期间水分含量、黄粒米含量、脂肪酸值、品尝评分值、出糙率和整精米率的变化。结果表明:相比于常规储藏,采用压盖导流通风降温技术可减少水分损失0.5%;黄粒米含量维持在0.1%左右,比对照仓低0.8%;脂肪酸值为19.2mg KOH/100g,比对照仓低7.6mg KOH/100g;品尝评分值为79分,比对照仓高7分;出糙率和整精米率分别为77.2%和55.2%,比对照仓高5.7%和8.1%。说明采用压盖导流通风降温技术能够充分利用粮堆"冷心",使稻谷全年处于低温或准低温储藏状态,符合基本无虫粮要求,实现了免熏蒸绿色储藏。     

Route manipulation aware Software-Defined Networks for effective routing in SDN controlled MANET by Disney Routing Protocol

In MANET network management, the Software-Defined Networking (SDN) plays a vital role in terms of controller plane and data plane. It is always easy to manage the data communication over the MANET because of logically centralized control on the SDN. Since the dynamic route on MANET, are controls the packets and changes the route between the source to destination alternatively. Hence the maintenance of real-time SDN analysis-based application planes is a crucial process. To maintain the effective MANET communication over the Software-Defined Network, it essential to improve the control and data plane process on the SDN controlled MANET based OpenFlow switching procedure. Nevertheless, SDN allows for route interaction against security threads. In this research article, the four stages were suggested to preserve the security measures in packet-based data transmission that are conceived in MANET. In this article, an SDN controlled MANET based OpenFlow switching scenario for effective security threading is proposed. The major part played by an SDN controlled MANET in bringing about a result of being effective without wasting time and energy on routing. The proposed Distinct Network Yarning (DISNEY) routing protocol for SDN controlled MANET overcomes the congestion communication on MANET routing. To decrease performance degradation, efficient routing is maintained by the route matrix manipulation table. This routing scheme helps to find the optimal routing with a secure and intelligent manner. The proposed result was compared to existing approaches. As a result, the proposed illustration to be improved by routing and data transmission. In comparison to the proposed method achieves a better ratio for packet transmission delay, throughput, and data transmission rate.     

A modeling and control approach to magnetic levitation system based on state-dependent ARX model

Magnetic levitation (Maglev) systems are usually strongly nonlinear, open-loop unstable and fast responding. In order to control the position of the steel ball in a Maglev system, a data-driven modeling approach and control strategy is presented in this paper. A state-dependent AutoRegressive with eXogenous input (SD-ARX) model is built to represent the dynamic behavior between the current of electromagnetic coil and the position of the ball. State-dependent functional coefficients of the SD-ARX model are approximated by Gaussian radial basis function (RBF) neural networks. The model parameters are identified offline by applying the structured nonlinear parameter optimization method (SNPOM). Based on the model, a predictive controller is designed to stabilize the magnetic levitation ball to a given position or to make it track a desired trajectory. The real-time control results of the proposed approach and the comparisons with other two approaches are given, which demonstrate that the modeling and control method presented in this paper are very effective and superior in controlling the fast-responding, strongly nonlinear and open-loop unstable system. This paper gives the real experimental evidence that the RBF-ARX model is capable of not only globally, but also locally capturing and quantifying a nonlinear and fast-response system's behavior, and the model-based predictive control strategy is able to work quite well in a wide working-range of the nonlinear system.     

模因视角下翻译转换能力培养教学对策研究

翻译转换能力是目前国内外翻译学者研究的热点,翻译教学的终极目标是翻译转换能力的培养,分析其内涵,从模因论视角探讨翻译教学中翻译转换能力培养的教学策略,以期能为翻译教学注入新的活力和提高翻译教学质量,为翻译教学改革提供新的视角。