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1.
We presented a wireless endoscope system developed on the embedded Linux platform. This wireless endoscope system consists of three parts： the endoscope capsule, the portable equipment and the image workstation, which make this system wireless and portable. Hardware design of this system and software design of the portable equipment are described. In clinical use, patients swallow the endoscope capsule for gastrointestinal inspection. The portable equipment receives images of gastrointestinal tract via the radio frequency module while it sets and reads back parameters of the capsule via the low frequency module. Acquired image data can be saved as a FAT32 format file in an universal serial bus disk. Images can be processed and reviewed at an Microsoft Windows PC workstation in the next stage. The image acquired by this wireless endoscope system is quite effective with clear details of gastrointestinal tract. However, the endoscope capsule was large, making it difficult to swallow. So the printed circuit board design of endoscope capsule needs to be improved. 相似文献
2.
In this paper we describe a system used to control,collect and process data in 8mm portable microwave radiometer-scatterometer,We focus on hardware and software design of the system based on a PIC16F874 chip.The system has been successfully used in an 8mm portable microwave radiometer-scatterometer,compared with other similar systems,the system modularization miniatureization and intelligentization are improved so as to meet portable instrument requirements. 相似文献
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The lightweight,portable Steam Buggy cleans virtually everything in-side and out of your house,without the chemicals,without the expense. When you’ve got a tough cleaning job ahead of you,how long do you 相似文献
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INTRODUCTION With the emergence of wireless technology, various multimedia services, e.g., audio and/or video, are reaching us today through portable devices any- time, anywhere and even more increasingly accessi- ble in the near future. High quality video streaming over wireless IP is one of the most attractive applica- tions by ongoing deployment of wireless local area network (WLAN) hotspots and even powerful Wi- MAX mobile coverage. However, the present Internet is not providing a… 相似文献
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Computer video games,which are based on personal computers,game consoles,and portable devices,can be played solo or multiplayer,and over networks. Interaction,which is the basic characteristic of games,provides rich communication opportunities for audiences. Meanwhile,narrative is a far more diverse concept to be considered as a distinctly important way of communication. This essay will compare and contrast the communication opportunities provided by narratives and computer games. 相似文献
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Objective: Optimization of combining electroencephalography (EEG), short latency somatosensory evoked potentials (SLSEP) and transcranial Doppler (TCD) techniques to diagnose brain death. Methods: One hundred and eleven patients (69 males, 42 females) from the major hospitals of Zhejiang Province were examined with portable EEG, SLSEP and TCD devices. Re-examinations occurred ≤12 h later. Results: The first examination revealed that the combination of SLSEP and EEG led to more sensitive diagnoses than the c... 相似文献
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INTRODUCTION Digital media is becoming an indispensable par of people’s daily life thanks to the rapid developmen and wide adoption of handy digital media capturing devices, rich digital contents, portable media device and versatile sharing networks. More and more user show greater demands for enjoying digital medi services through various PC and non-PC devices ove the Internet or wireless networks. Such kind of ubiq uitous multimedia services pose great challenges to traditional coding… 相似文献
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《新高考》2008,(6)
According to a survey released on Friday,the boom in mobiles and portable devices that store reams of personal information has created a generation incapable of memorizing simple things.A quarter of those polled said they couldn't remember their landline number,while two-thirds couldn'recall the birthdays of more than three friends or family members. 相似文献
9.
Wenjing HUANG Shenglin LUO Dong YANG Sheng ZHANG 《Journal of Zhejiang University. Science. B》2021,22(3):171-189
The role of point-of-care(POC)diagnostics is important in public health.With the support of smartphones,POC diagnostic technologies can be greatly improved.This opportunity has arisen from not only the large number and fast spread of cell-phones across the world but also their improved imaging/diagnostic functions.As a tool,the smartphone is regarded as part of a compact,portable,and low-cost system for real-time POC,even in areas with few resources.By combining near-infrared(NIR)imaging,measurement,and spectroscopy techniques,pathogens can be detected with high sensitivity.The whole process is rapid,accurate,and low-cost,and will set the future trend for POC diagnostics.In this review,the development of smartphone-based NIR fluorescent imaging technology was described,and the quality and potential of POC applications were discussed. 相似文献
10.
春节the Spring Festival农历the lunar calendar正月lunar January;the first monthof the lunar calendar除夕New Year's Eve初一the lunar New Year's Day元宵节the Lantern Festival过年spend the New Year;cele-brate the New Year对联antithetical couplet春联Spring Festival couplets剪纸paper-cut年画New Year paintings敬酒propose a toast灯笼lantern:a portable light烟花fireworks爆竹firecrackers(People scare off evilspirits and ghosts with theloud pop.)红包red packets(cashwrapped up in red paper,symbolize… 相似文献
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This paper introduces the effects of cell operating temperature, methanol concentration and airflow rate, respectively, on the performance of direct methanol fuel cell （DMFC）. A novel method based on fuzzy neural networks identification technique is proposed to establish the performance model of DMFC. Three dynamic performance models of DMFC under the influences of cell operating temperature, methanol concentration, and airflow rate are identified and established separately. Simulation results show that modeling using fuzzy neural networks identification is satisfactory with high accuracy. It is applicable to DMFC control systems. 相似文献
12.
WU Xiao-juan ZHU Xin-jian CAO Guang-yi TU Heng-yong 《浙江大学学报(A卷英文版)》2007,8(9):1505-1509
The solid oxide fuel cell (SOFC) is a nonlinear system that is hard to model by conventional methods. So far,most existing models are based on conversion laws,which are too complicated to be applied to design a control system. To facilitate a valid control strategy design,this paper tries to avoid the internal complexities and presents a modelling study of SOFC per-formance by using a radial basis function (RBF) neural network based on a genetic algorithm (GA). During the process of mod-elling,the GA aims to optimize the parameters of RBF neural networks and the optimum values are regarded as the initial values of the RBF neural network parameters. The validity and accuracy of modelling are tested by simulations,whose results reveal that it is feasible to establish the model of SOFC stack by using RBF neural networks identification based on the GA. Furthermore,it is possible to design an online controller of a SOFC stack based on this GA-RBF neural network identification model. 相似文献
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1Introduction Moltencarbonatefuelcell(MCFC)isaclearelec tricitygeneratingtechniquewithhighefficiency,which istobeusedwidely.Withoutcombustion,MCFCcon vertschemicalenergycontainedinfuelandoxidantin toelectricenergyviaelectro chemicalreaction.Per formanceof… 相似文献
14.
The operating temperature of a solid oxide fuel cell （SOFC） stack is a very important parameter to be controlled, which impacts the performance of the SOFC due to thermal cycling. In this paper, an adaptive fuzzy control method based on an affine nonlinear temperature model is developed to control the temperature of the SOFC within a specified range. Fuzzy logic systems are used to approximate nonlinear functions in the SOFC system and an adaptive technique is employed to construct the controller. Compared with the traditional fuzzy and proportion-integral-derivative （PID） control, the simulation results show that the designed adaptive fuzzy control method performed much better. So it is feasible to build an adaptive fuzzy controller for temperature control of the SOFC. 相似文献
15.
Based on the operation data from a certain wastewater treatment plant(WWTP) in northeast China,the models of back propagation neural network ( BP NN ) and radial basis function neural network ( RBF NN ) have been designed respectively and the ability of convergence and generalization has been analyzed separately.As for BP NN, the effects of numbers of layers and nodes have been studied ; as for RBF NN, the influences of the number of nodes and the RBF‘s width have been studied. It is concluded that BP NN has converged much slowly in comparison with RBF NN. The conclusion that the RBF NN is suitable for modeling activated sludge system has been drawn. An automatically optimum design program for RBF NN has been developed, through which the RBF NN model of traditional activated sludge system has been established. 相似文献
16.
To prevent the oxygen starvation and improve the system output performance, an adaptive inverse control (AIC) strategy is developed to regulate the air supply flow of a proton exchange membrane fuel cell (PEMFC) system in this paper.The PEMFC stack and the air supply system including a compressor and a supply manifold are modeled for the purpose of performance analysis and controller design. A recurrent fuzzy neural network (RFNN) is utilized to identify the inverse model of the controlled system and generates a suitable control input during the abrupt step change of external disturbances. Compared with the PI controller, numerical simulations are performed to validate the effectiveness and advantages of the proposed AIC strategy. 相似文献
17.
针对机械臂位置跟踪问题,基于RBF神经网络控制理论,提出了一种自适应反演控制方法．该方法利用反演控制技术解决了系统的非线性问题,通过神经网络对系统中不确定函数进行逼近,实现神经网络自适应反演控制,最后通过Lyapunov稳定性理论证明所得闭环系统的最终一致有界．仿真结果证明该算法的有效性． 相似文献
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A dynamic velocity feed-forward compensation control (DVFCC) approach with RBF neural network (RBF-NN) dynamic model identification was presented for the adaptive trajectory tracking of industrial robots.The proposed control approach combined the advantages of traditional feedback closed-loop position control and computed torque control based on inverse dynamic model.The feed-forward compensator used a nominal robot dynamics as accurate dynamic model and on-line identification with RBF-NN as uncertain part to improve dynamic modeling accuracy.The proposed compensation was applied as velocity feed-forward by an inverse velocity controller that can convert torque signal into velocity in the standard industrial controller.Then,the need for a torque control interface was avoided in the real-time dynamic control of industrial robot.The simulations and experiments were carried out on a gas cutting manipulator.The results show that the proposed control approach can reduce steady-state error,suppress overshoot and enhance tracking accuracy and efficiency in joint space and Cartesian space,especially under highspeed condition. 相似文献
20.
王军琴 《西安文理学院学报》2009,12(3)
为了提高控制系统的控制性能,实现自适应控制,提出了一种基于神经网络模型的参数辨识方法.首先,为一台未知参数的直流电机设计了基于DSP(数字信号处理器)的控制器,再通过采集卡获取大量的实时观测数据,然后对数据进行预处理,将预处理后的数据按照神经网络辨识的原理完成模型辨识.通过比较直流电机实际阶跃响应与模型阶跃响应,对辨识模型进行检验,最后设计了该系统的PI校正装置.结果表明该方法可操作性强、辨识精度高、应用性强. 相似文献