Solution of idle LBO problem for high FAR aero combustor

The paper sheds light on the idle lean blow off(LBO)problem for high fuel air ratio(FAR)com⁃bustor,which is impossible to be addressed with traditional aero combustor design.A significant improvement in aero combustor design is required to resolve the idle LBO issue.The authors detailed a practical and efficient solu⁃tion,which not only solved the idle LBO issue but also defined the aero-thermal design for high-FAR combustor.The design will usher in a new era of aero combustor.

基于IDL和Python混合编程的深度学习遥感影像分类

Python是遥感图像深度学习分类算法常用的语言,但处理效率不佳且对影像类型兼容性不足。IDL是面向对象的交互式程序语言,支持多种遥感数据的高效读写与处理,但不支持深度学习算法的直接调用。本文设计了一套混合编程方案,采用HybridSN算法对乌苏地区的Sentinel-2影像进行深度学习分类。使用完全矢量化图进行混淆矩阵分析验证精度,并考虑到HybridSN算法的窗口参数对分类的影响,将立方体影像窗口分别设置为5,9,15进行训练和分类。结果表明:当窗口为5时精度最高,其中Kappa系数为0.7210,总体精度为85.66%。IDL与Python混合编程提高了遥感影像分类的工作效率,且便于后续的影像分析。结合实验结果可以进一步证实IDL与Python混合编程在遥感分类甚至其他Python代码中都有优势,其针对的基于Python的遥感处理技术,通过整合IDL的强大数据读写和预处理功能,实现各类代码的配置,从而提高数据处理效率。

基于ArcGIS Engine和IDL的冬小麦生长动态监测系统

目的:为快速便捷地掌握大范围冬小麦播种、长势及产量信息,及时为农业管理部门的分析决策提供基础数据。方法:基于C#语言集成ArcGIS Engine组件和IDL函数库,设计冬小麦识别、长势监测及产量估算等功能模块,研发冬小麦生长动态监测系统。结果:该系统可较为快速地建立冬小麦空间数据库,便捷地提取冬小麦播种、生长和收获等各个生育期冬小麦农情信息,同时具有功能强大的时空分析和预测决策辅助功能。结论:实现了包括冬小麦在内的农作物的动态生长监测,可以为管理者提供数据及强有力的决策支持。

Fuzzy Control Method for Gasoline Engine Idle Speed Control

In order to improve the steady and dynamic characteristic of the idle speed control and study the performance of the fuzzy control method for the idle speed control, a fuzzy control system is developed to control the idle speed of gasoline engine. The construction and working principle of the fuzzy controller are described, and the design procedure of the fuzzy controller is given in detail. The control parameters are determined by computer simulation. The simulation and experiments on the engine test bench show that the idle speed is controlled accurately both in stationary and in dynamic states, and the fuzzy control method is robust to the changes of engine parameters.

Sidle:空闲工作站的调度与远程执行系统

本文介绍我们研制的一个空闲工作站调度与远程执行系统Sidle,该系统当前运行在由以太网连接的19台SUN4工作站上,能对用户的多个作业或一个程序的若干部分进行并行处理,它除了具有目前国外现有系统的优点外,还具有以下特点:支持多个外来任务和嵌套的远程执行,使CPU利用率更高,调度对用户有更好的透明性,此外,在性能方面也超过现有的系统。

Sidle的远程执行设备

Ｓｉｄｌｅ系统是运行在ＳＵＮ工作站网络上的一组实用程序，利用空闲的处理机资源进行大粒度的并行计算．同其它远程执行设备相比，它能支持程序内部并行和嵌套的远程执行，允许一个服务员机接受多个远程执行任务．本文介绍了这些特点和透明性的实现方法．

STEADY-STATE AND IDLE OPTIMIZA-TION OF INTERNAL COMBUSTION ENGINE CONTROL STRATEGIES FOR HYBRID ELECTRIC VEHICLES

A novel steady-state optimization （SSO） of internal combustion engine （ICE） strategy is proposed to maximize the efficiency of the overall powertrain for hybrid electric vehicles, in which the ICE efficiency, the efficiencies of the electric motor （EM） and the energy storage device are all explicitly taken into account. In addition, a novel idle optimization of ICE strategy is implemented to obtain the optimal idle operating point of the ICE and corresponding optimal parking generation power of the EM using the view of the novel SSO of ICE strategy. Simulations results show that potential fuel economy improvement is achieved relative to the conventional one which only optimized the ICE efficiency by the novel SSO of ICE strategy, and fuel consumption per voltage increment decreases a lot during the parking charge by the novel idle optimization of ICE strategy.

基于ZSP500的IDLE模块子系统级验证实现

SoC 系统的 RTL 级验证分为模块级、子系统级、系统级三个阶段。本文描述了高速数字信号处理器 ZSP500的基本结构和子系统级验证的具体概念,详细介绍了3G 手机芯片中的 IDLE 模块的结构,包括工作模式和空闲模式。介绍通过 ZSP500编程工具构造 SoC 子系统级验证的测试例,利用生成的目标文件对模块进行子系统级验证。最后得出基于 ZSP500的子系统级验证效率高并且实现简单的结论。

ADAPTIVE VARIABLE STRUCTURE CONTROLLERS AND APPLICATION TO ENGINE IDLE SPEED CONTROL SIMULATION

A neural-network-based adaptive variable structure control methodology isproposed for the tracking problem of nonlinear discrete-time input-output systems. The unknowndynamics of the system are approximated via radial basis function neural networks. The control lawis based on sliding modes and simple to implement. The discrete-time adaptive law for tuning theweight of neural networks is presented using the adaptive filtering algorithm with residueupper-bound compensation. The application of the proposed controller to engine idle speed controldesign is discussed. The results indicate the validation and effectiveness of this approach.

Effects of Different Factors on Biological Yield of Fodder Soybean(Glycine max(L.) Merr.) in Autumn Idle Land

Objective] The alm was to study the high-yield cuItivation technique of fodder soybean（Glycine max （L.） Merr.） in autumn idIe Iand. [Methods] Such five in-fIuencing factors as Iine spacing, pIanting density, nitrogen （N）, phosphorus （P） and potassium （K） of fodder soybean seeding in autumn idIe Iand were compared using orthogonal experiment method and LSD method of PASW 18 statistics software. [Results] The resuIts showed that density, Iine spacing and K2O had important ef-fects on bioIogical yield of fodder soybean in autumn idIe Iand. Moreover, the opti-mum proposal for high-yield matching cuItivation technique of fodder soybean in au-tumn idIe Iand was determined as foI ows： pIanting density was 75 ＆#215;104 pIants/hm2;300 kg/hm2 N, 112.5 kg/hm2 P2O5 and 375 kg/hm2 K2O were viewed as basic fertiIiz-ers; the seedIing styIe was sowing in driI with the Iine spacing of 50 cm. In the proposal, fresh and hay grass yields were 6 661.67 and 2 723.64 kg/hm2, respec-tiveIy, which increased by 24.17% and 27.63% respectiveIy compared to the second fine combination. [Conclusions] The resuIts provided a theoretical basis and technical support for the production of fodder soybean in autumn idIe Iand.

An Effective Cloud Workflow Scheduling Approach Combining PSO and Idle Time Slot-Aware Rules

Workflow scheduling is a key issue and remains a challenging problem in cloud computing.Faced with the large number of virtual machine(VM)types offered by cloud providers,cloud users need to choose the most appropriate VM type for each task.Multiple task scheduling sequences exist in a workflow application.Different task scheduling sequences have a significant impact on the scheduling performance.It is not easy to determine the most appropriate set of VM types for tasks and the best task scheduling sequence.Besides,the idle time slots on VM instances should be used fully to increase resources'utilization and save the execution cost of a workflow.This paper considers these three aspects simultaneously and proposes a cloud workflow scheduling approach which combines particle swarm optimization(PSO)and idle time slot-aware rules,to minimize the execution cost of a workflow application under a deadline constraint.A new particle encoding is devised to represent the VM type required by each task and the scheduling sequence of tasks.An idle time slot-aware decoding procedure is proposed to decode a particle into a scheduling solution.To handle tasks'invalid priorities caused by the randomness of PSO,a repair method is used to repair those priorities to produce valid task scheduling sequences.The proposed approach is compared with state-of-the-art cloud workflow scheduling algorithms.Experiments show that the proposed approach outperforms the comparative algorithms in terms of both of the execution cost and the success rate in meeting the deadline.

LTE用户终端在IDLE态下的低功耗技术研究

功耗是评估用户终端性能的重要指标之一,且IDLE(空闲态)态的功耗控制直接决定了用户终端待机时间的长短。文中根据LTE协议,针对IDLE态提出多种低功耗技术方案,包括低频时钟计时技术、多模时间快锁技术和IDLE态的任务调度技术。通过这些技术方案分别实现了对睡眠状态的功耗优化、睡眠唤醒时间的优化以及IDLE态任务调度的时间优化,从而大大节省了功耗,在无线通信领域有广泛的应用价值。

Effects of Different Sowing Times on Plant Height, Leaf Stem Ratio and DW/FW Ratio of Forage Sorghum in Autumn Idle Land

The aim was to explore the linear regression prediction models between sowing time and plant height, leaf stem ratio and DW/FW ratio of forage sorghum in autumn idle land. [Method] The relationships between sowing time and plant height, leaf stem ratio and DW/FW ratio of forage sorghum were simulated and compared by employing field plot experiment and linear regression analysis. [Result] The sowing time had a great impact on plant height, leaf stem ratio and DW/FW ratio of forage sorghum in autumn idle land. With the delay of sowing time, the plant height and DW/FW ratio of forage sorghum decreased, while the leaf stem ratio increased. The regression models between sowing time and plant height, leaf stem ratio and DW/FW ratio of forage sorghum were established： plant height and sowing time, yheight = 234.725- 5.005X; leaf stem ratio and sowing time,ylcaf= 0.096 ＋ 0,019x; DW/FW ratio and sowing time, ydry= 0.305-0.002X. From July 23rd to August 30th, the plant height of forage sorghum was reduced by 5.005 cm, the leaf stem ratio was increased by 0.019 and the DW/FW ratio was reduced by 0.002 in average when hhe sowing time was delayed by one day. [Conclusion] This study provides a theoretical support for the production of forage sorghum in autumn idle land.

基于IDL通用接口的智能家居语音交互控制系统设计

设计基于IDL通用接口的智能家居语音交互控制系统,语音控制智能家居,可有效提升其智能性。将树莓派、标准接口描述语言IDL作为主控制器与输出指令,设计智能家居语音交互控制系统架构。利用麦克风采集用户语音信号,并由数据预处理模块使用改进小波阈值法去噪获取数据,去噪完成后,由树莓派通信百度语义平台,将其转化成文本信息,并通过IDL通用接口与IDL标准化指令数据库建立有效连接,在语音合成文本IDL命令控制语言转化模块使用自然语言-IDL标准化匹配技术,实现文本信息向IDL命令控制语言转化,并由无线网络将所获IDL控制指令发送给设备控制信号处理器,控制智能家居设备。实验结果表明:该系统可实现智能家居语音交互控制,标准化指令匹配效果较好,可收获较为理想的智能家居语音交互控制效果。

An Algorithm for Idle-State Detection and Continuous Classifier Design in Motor-Imagery-Based BCI

Abstract-The development of asynchronous brain-computer interface （BCI） based on motor imagery （M1） poses the research in algorithms for detecting the nontask states （i.e., idle state） and the design of continuous classifiers that classify continuously incoming electroencephalogram （EEG） samples. An algorithm is proposed in this paper which integrates two two-class classifiers to detect idle state and utilizes a sliding window to achieve continuous outputs. The common spatial pattern （CSP） algorithm is used to extract features of EEG signals and the linear support vector machine （SVM） is utilized to serve as classifier. The algorithm is applied on dataset IVb of BCI competition Ⅲ, with a resulting mean square error of 0.66. The result indicates that the proposed algorithm is feasible in the first step of the development of asynchronous systems.

Establishment and Analysis of Regression Models between Sowing Time and Plant Productivity, Biological Yield of Forage Sorghum in Autumn Idle Land

[Objective]The aim was to establish the linear regression prediction models between sowing time and plant productivity, biological yield of forage sorghum in autumn idle land.[Method]The relationships between sowing time and plant productivity, biological yield of forage sorghum were simulated and compared by using field experiment and linear regression analysis.[Result] The sowing time had an important influence on the plant productivity and biological yield of forage sorghum in autumn idle land. The plant productivity and biological yield of forage sorghum both decreased with the delay of sowing time.The regression model between plant fresh weight and sowing time was ？fresh=0.618-0.015x; the regression model between plant dry weight and sowing time was ？dry=0.184-0.005x; and the regression model between biological yield and sowing time was yield=29 126.461-711.448x. During July 23rd to August 30th, when the sowing time was delayed by 1 day, the plant fresh weight of forage sorghum was reduced by 0.015 g, the plant dry weight was reduced by 0.005 g, and the yield was reduced by 711.448 kg/hm2. [Conclusion] The three regression models established in this study will provide theoretical support for the production of forage sorghum.

线粒体lncRNA IDL影响非小细胞肺癌氧化磷酸化

为了探究线粒体长链非编码RNA(mitochondrial long non-coding RNA,mtlncRNA)IDL在人非小细胞肺癌细胞(human non-small cell lung cancer, NSCLC)代谢和生长中的作用及机制,本研究首先在A549细胞中通过线粒体压力测试发现敲低IDL会导致细胞的氧化磷酸化功能受损,接着通过细胞增殖实验、划痕实验和克隆形成实验,证明了敲低IDL时人非小细胞肺癌细胞A549和H1299的生长速度变慢、迁移能力和克隆形成能力减弱.随后通过RNA沉降实验(RNA pull-down)和RNA免疫沉淀实验(RIP)找到了在体内外均可以与IDL特异性结合的蛋白——ATP合成酶α亚基,即ATP5A1蛋白,并通过免疫共沉淀实验(Co-IP)证明了IDL下调会导致ATP5A1蛋白的O-GlcNAc修饰水平增加,在A549细胞中敲低ATP5A1也得到了与敲低IDL时一致的细胞表型.以上结果说明敲低IDL会导致非小细胞肺癌细胞氧化磷酸化功能受损、细胞生长受抑制.

DCH->IDLE时长对PS业务的影响

本文主要是中国联合网络通信有限公司濮阳市分公司网络优化中心从提高PING业务成功率入手,分析了DCH->IDLE时长设置对现网PS业务掉话率、接通率等指标的影响,通过理论分析、优化调整、实地测试,最终实现了PING业务成功率和掉话率、资源利用率的均衡优化。

Idle School Buildings in Rural Areas: Will they Be Useful?

Taking the case of Enshi City,we survey the supply of public services in rural areas from education,health,culture and social security; reveal the relationship between the use of idle school buildings in rural areas and the improvement of public services in rural areas. On the basis of expounding the status quo of idle school buildings and public services in rural areas of Enshi City,the following recommendations are put forward: using the idle school buildings to develop rural public education; using the idle school buildings to develop rural public health and medical services; using the idle school buildings to develop public cultural undertakings in rural areas; using the idle school buildings to develop social security undertakings in rural areas.

Effects of Sowing Time on Biological Yield of Forage Sorghum[Sorghum bicolor(L.) Moench] in Autumn Idle Land

[Objective] This study was performed to explore the correlation between sowing time and biological yield of forage sorghum in autumn. [Method] In field trials,forage sorghum was sown on six different dates( July 23,July 29,August 6,August 14,August 22 and August 30). Then,seedling emergence stage,jointing stage,booting stage,heading stage,filling stage,fresh weight and dry weight in each plot were observed or measured. Finally,linear regression analysis on these data was carried out to deduce the correlation between sowing date and biological yield of forage sorghum. [Result]Sowing time showed a significant influence on biological yield of forage sorghum in idle land,and the biological yield of forage sorghum linearly decreased with the postponement of sowing time. The relationship between sowing time and biological yield of forage sorghum can be represented by the regression equations y_(fresh)= 196. 646-4. 625 x and y_(dry)= 58. 253-1. 423 x,wherein,x is sowing date,y_(fresh)and y_(dry)are the fresh weight and dry weight of forage sorghum. On average,the fresh weight of forage sorghum was reduced by 4. 625 kg/20 m^2,and dry weight by 1. 423 kg/20 m^2,when the sowing date was delayed by one day from July 23 to August 30. [Conclusion]The regression models built in this study will provide a theoretical basis for improving the yield of forage sorghum in autumn idle land.