Design of handheld terminal for shock wave pressure measurement system

Considering that it is difficult to monitor the measurement system and amend the test parameters on the scene in shock wave overpressure measurement and it is inconvenient to operate and carry traditional PC in outdoor experiments, a new handheld terminal for shock wave pressure measurement system based on ARM is designed, The handheld terminal, whose ap- plication program is developed by the software of Qt, can control the measurement system by Wi-Fi and perform the functions of monitoring the system state, transmitting the data by wireless and displaying waveforms. To prevent data loss, USB inter- face is designed to read the data The test results show that the designed handheld terminal has good stability and reliability in several explosion experiments.

A Modified CycleGAN for Multi-Organ Ultrasound Image Enhancement via Unpaired Pre-Training

Handheld ultrasound devices are known for their portability and affordability,making them widely utilized in underdeveloped areas and community healthcare for rapid diagnosis and early screening.However,the image quality of handheld ultrasound devices is not always satisfactory due to the limited equipment size,which hinders accurate diagnoses by doctors.At the same time,paired ultrasound images are difficult to obtain from the clinic because imaging process is complicated.Therefore,we propose a modified cycle generative adversarial network(cycleGAN) for ultrasound image enhancement from multiple organs via unpaired pre-training.We introduce an ultrasound image pre-training method that does not require paired images,alleviating the requirement for large-scale paired datasets.We also propose an enhanced block with different structures in the pre-training and fine-tuning phases,which can help achieve the goals of different training phases.To improve the robustness of the model,we add Gaussian noise to the training images as data augmentation.Our approach is effective in obtaining the best quantitative evaluation results using a small number of parameters and less training costs to improve the quality of handheld ultrasound devices.

基于双系统的变电站信息自动验收手持终端设计与分析

为提高变电站设备监控信息验收效率,加快集控系统建设进程,设计了一种基于智能电网控制系统(D5000)与新集控系统的变电站信息自动验收手持终端。首先概括了当前国内外变电站信息自动验收技术现状与不足,然后分析了手持终端的工作原理,随后研究了D5000双平面信号校核结果展示、新集控系统监控信号的自助验收与结果展示、新集控系统与D5000系统信号断面差异化展示3种技术方案,在Ⅲ区搭建变电站自动验收平台,并依托i国网移动软件,实现自动验收平台的手持终端应用,最后进行手持终端功能和硬件设计,并给出了标准化的工作流程。

Screening of unknown atrial fibrillation through handheld device in the elderly

Objective To estimate the prevalence of unknown atrial fibrillation(AF)in the elderly population of the Veneto Region,Italy.Methods 1820 patients aged≥65 years with no history of AF and not anticoagulated were enrolled in primary-care settings.They underwent an opportunistic electrocardiogram screening with a handheld device(My Diagnostick)designed to specifically detect AF.The electrocardiogram recordings were reviewed by the researchers,who confirmed the presence of AF.Results The device detected an arrhythmia in 143 patients,which was confirmed as AF in 101/143(70.6%),with an overall prevalence of AF of 5.5%(101/1820).Prevalence of unknown AF resulted in 3.6%in patients aged 65–74 years,and 7.5%in patients age 75 or older,and increased according to CHA2 DS2-VASc score:3.5%in patients with a score of 1 or 2,5.6%in patients with a score of 3,7.0%in patients with a score of 4,and 7.2%in patients with a score≥5.The detection rate was significantly higher in patients with mild symptoms compared to asymptomatic counterparts(24.1%vs.4.0%,P<0.0001).At multivariate analysis,congestive heart failure and age≥75 years-old were independent predictors for screen-detected AF.Conclusions An opportunistic screening with handheld device revealed an unexpectedly high prevalence of unknown AF in elderly patients with mild symptoms.Prevalence increased with age and CHA2DS2-VASc score.

A new handheld fundus camera combined with visual artificial intelligence facilitates diabetic retinopathy screening

AIM: To explore the performance in diabetic retinopathy(DR) screening of artificial intelligence(AI) system by evaluating the image quality of a handheld Optomed Aurora fundus camera in comparison to traditional tabletop fundus cameras and the diagnostic accuracy of DR of the two modalities. METHODS: Overall, 630 eyes were included from three centers and screened by a handheld camera(Aurora, Optomed, Oulu, Finland) and a table-top camera. Image quality was graded by three masked and experienced ophthalmologists. The diagnostic accuracy of the handheld camera and AI system was evaluated in assessing DR lesions and referable DR.RESULTS: Under nonmydriasis status, the handheld fundus camera had better image quality in centration, clarity, and visible range(1.47, 1.48, and 1.40) than conventional tabletop cameras(1.30, 1.28, and 1.18;P<0.001). Detection of retinal hemorrhage, hard exudation,and macular edema were comparable between the two modalities, in principle, with the area under the curve of the handheld fundus camera slightly lower. The sensitivity and specificity for the detection of referable DR with the handheld camera were 82.1%(95%CI: 72.1%-92.2%) and 97.4%(95%CI: 95.4%-99.5%), respectively. The performance of AI detection of DR using the Phoebus Algorithm was satisfactory;however, Phoebus showed a high sensitivity(88.2%, 95%CI: 79.4%-97.1%) and low specificity(40.7%, 95%CI: 34.1%-47.2%) when detecting referable DR.CONCLUSION: The handheld Aurora fundus camera combined with autonomous AI system is well-suited in DR screening without mydriasis because of its high sensitivity of DR detection as well as its image quality, but its specificity needs to be improved with better modeling of the data. Use of this new system is safe and effective in the detection of referable DR in real world practice.

A comparison of handheld and standard ultrasound in Swiss medical students

BACKGROUND:The use of ultrasound(US)within healthcare has inspired the development of new US technology.There have been few studies comparing the use of handheld US to standard US for medical education.This research aims to determine whether a handheld US device can provide a comparable primary learning experience to that of a standard US machine.METHODS:Over two days of instruction,participants were taught and evaluated on core US fundamentals.The standard group received instruction on standard US machines,while the handheld group received instruction on handheld US devices.Participants completed a qualitative survey regarding their experience.Six hundred and four images were obtained and graded by two emergency medicine physicians.RESULTS:A total of 119 Swiss medical students were enrolled in our study.There was no statistically significant difference in the US assessment measurements,except for faster endpoint septal separation(EPSS)vascular setup time in the handheld group(P=0.001).There was no statistically significant difference in participants’perceived difficulty of US learning(P=0.198),comfort level(P=0.188),or self-estimated capability to perform US in the future(P=0.442).There was no statistically significant difference in the percentage of correctly obtained images(P=0.211)or images that were clinically useful(P=0.256).The median quality score of images obtained by the standard group was eight compared to seven in handheld group(P<0.01).CONCLUSION:Our data suggest a handheld US machine can perform as well as a standard US machine as an educational tool despite sacrifices in image quality.

煤矿无线远程遥控信号及操车系统研究

针对邱集煤矿井口及各水平操车系统操作采用传统的人工现场控制方式,以及操车系统信号通信设备陈旧造成的人工成本高、效率低、安全隐患大的问题,利用“无线遥控+千兆以太网平台+PLC可编程控制+5G无线通信”相融合的技术,设计了可以通过5G无线信号网络进行信息互通,操控人员就近控制无线遥控器,对操车设备进行无线操控,有利实现全矿提升机运行工作状态、故障报警、任务安排等综合信息互享,以便于操控人员及时高效地制定调度控制策略,实现减少人工成本和提高提升机运行效率的效果。

Assessment of handheld mobile terrestrial laser scanning for estimating tree parameters

Sustainable forest management heavily relies on the accurate estimation of tree parameters.Among others,the diameter at breast height(DBH) is important for extracting the volume and mass of an individual tree.For systematically estimating the volume of entire plots,airborne laser scanning(ALS) data are used.The estimation model is frequently calibrated using manual DBH measurements or static terrestrial laser scans(STLS) of sample plots.Although reliable,this method is time-consuming,which greatly hampers its use.Here,a handheld mobile terrestrial laser scanning(HMTLS) was demonstrated to be a useful alternative technique to precisely and efficiently calculate DBH.Different data acquisition techniques were applied at a sample plot,then the resulting parameters were comparatively analysed.The calculated DBH values were comparable to the manual measurements for HMTLS,STLS,and ALS data sets.Given the comparability of the extracted parameters,with a reduced point density of HTMLS compared to STLS data,and the reasonable increase of performance,with a reduction of acquisition time with a factor of5 compared to conventional STLS techniques and a factor of3 compared to manual measurements,HMTLS is considered a useful alternative technique.

An Analysis on Position Estimation, Drifting and Accumulated Error Accuracy during 3D Tracking in Electronic Handheld Devices

This work focuses on a brief discussion of new concepts of using smartphone sensors for 3D painting in virtual or augmented reality. Motivation of this research comes from the idea of using different types of sensors which exist in our smartphones such as accelerometer, gyroscope, magnetometer etc. to track the position for painting in virtual reality, like Google Tilt Brush, but cost effectively. Research studies till date on estimating position and localization and tracking have been thoroughly reviewed to find the appropriate algorithm which will provide accurate result with minimum drift error. Sensor fusion, Inertial Measurement Unit (IMU), MEMS inertial sensor, Kalman filter based global translational localization systems are studied. It is observed, prevailing approaches consist issues such as stability, random bias drift, noisy acceleration output, position estimation error, robustness or accuracy, cost effectiveness etc. Moreover, issues with motions that do not follow laws of physics, bandwidth, restrictive nature of assumptions, scale optimization for large space are noticed as well. Advantages of such smartphone sensor based position estimation approaches include, less memory demand, very fast operation, making them well suited for real time problems and embedded systems. Being independent of the size of the system, they can work effectively for high dimensional systems as well. Through study of these approaches it is observed, extended Kalman filter gives the highest accuracy with reduced requirement of excess hardware during tracking. It renders better and faster result when used in accelerometer sensor. With the aid of various software, error accuracy can be increased further as well.

Handheld 3D Scanner for Small Objects Using Kinect

This paper presents a handheld 3D vision-based scanner for small objects by using Kinect. It is different from the previous color-glove-based approaches which require segmenting the target object. First, we eliminate the noises and the outliers caused by holding hands. Second, we apply Kinect-fusion algorithm and truncated signed distance function （TSDF） to represent 3D surfaces. Third, we propose a modified integration strategy to eliminate the hand effect. Fourth, we take advantage of the parallel computation of GPUs for real-time operation. The major contributions of this paper are （1） the registration precision is improved, （2） the oflline amendment and loop closure operation are not required, and （3） concave 3D object reconstruction is feasible.

Role of Wireless Handheld Technology by Nurses in Healthcare Environment

One of the emerging technologies is wireless handheld technology. Implication of these devices is enormous for business community and healthcare domain is not an exception to this phenomena. This research paper provides some useful findings about the use of PDA＇s in the healthcare environment through actual usage of PDA in the healthcare ward. A qualitative and quantitative approach is adopted to explore these phenomena due to the exploratory nature of the research. Findings of this study identify some of the motivators and issues associated with the wireless handheld technology in healthcare environment. Furthermore, it is also found that these wireless handheld devices can help to improve the quality of care through better decision making processes. This study is limited to only one sate of Australian and further research is needed to see the implication of the findings to wider community and other domains in the Australian environment.

一种手持式半球形视角激光雷达SLAM三维建图技术

针对室内外场景快速三维建图问题,本文提出了一种半球形视角激光雷达扫描同时定位与建图(SLAM)方法,设计了集成半球形视角激光雷达和惯性测量单元的手持便携式三维激光扫描系统。首先,根据半球形视角激光雷达扫描线结构特征,对分割的地面点云降采样,减少垂直约束冗余。然后,对惯性测量单元(IMU)和降采样激光点云通过一个紧耦合迭代扩展卡尔曼滤波器(iEKF)进行联合位姿估计。最后,使用因子图增量式后端优化处理消除累积误差,提升点云地图精度。采用本文方法研发的原型系统对典型室内外场景进行建图试验,结果表明:本文方法绝对定位精度优于4‰,相对定位精度优于0.3‰,在室内外一体化三维建图方面具有广阔应用前景。

继保压板状态图像识别嵌入式方案设计与应用

继保压板状态识别受各种环境因素影响长期依赖人工巡检,而目前流行的压板图像识别方案也依赖庞大后台计算架构,无法在操作现场即刻获取核对信息,严重影响工作效率。针对该问题,提出一种基于嵌入式的手持终端的解决方案。所提出的移动智能终端采用微型智能高清相机,实现了对压板屏柜多角度拍摄,有效地解决了由于玻璃门反光、异物阻挡、角度等妨碍拍摄的问题。所提出的基于嵌入式及YOLO Nano算法的继保压板状态现场识别的方法,选用高性能计算核心和专用视觉识别模块作为硬件平台,避免了采用庞大的后台计算架构,实现了操作现场的即时识别与核对。试验结果表明,该系统对继保压板状态识别的准确率达100%,有效地解决了继保压板状态的操作现场识别问题,具备较强的实用性和推广性。

基于GSM-R的通知外勤方案研究

调研分析车站值班员与外勤值班员的作业内容和联络方式,结合行车设备现状,研究设计一种基于GSM-R的通知外勤方案。借鉴调度指挥系统无线进路预告应用技术的设计思路,提出自动通知外勤的理念,研究自动通知外勤的时机与条件。为外勤值班员设置具备人机交互的便携式无线手持终端,利用既有的GSM-R无线通信通道交互信息,解决目前通知外勤功能实施难度大、应用效果差的问题,再次提升车务人员接发车作业的管理技术与自动化水平。

铁路CIR用GIS数据采集设备改进方案及应用

作为铁路通信业务的重要基础数据,铁路CIR用GIS数据目前面临采集设备性能老旧、功能单一、系统应用软件超期、采集精度低、采样间隔大、数据传输方式单一、安全措施不足、单模GPS定位等问题,因此需从软硬件两方面对采集设备进行改进。改进车载采集板卡硬件架构,实现高精度BDS/GPS双模定位,提高自动采集数据的精度及采集间隔,可支持数据加密及数据无线传输;软件方面支持高精度数据的存储及低精度数据的抽吸,预留5G-R模组;改进手持采集终端的软硬件,实现手动采集数据基于位置的实时校核,扩展数据类型,提高实用性和易用性。设备改进后,采集的GIS数据更精准、更丰富,提高了CIR业务运用效果,为智能铁路调度通信提供高精度GIS数据支撑。

果蔬品质手持式近红外光谱检测系统设计与试验

为满足果蔬加工过程快速检测和质量控制的实际需求,研发近红外光谱技术的低成本、实用化、小型化的果蔬品质手持式检测系统。在分析当前近红外光谱实用化过程的瓶颈问题的基础上,提出果蔬品质的手持式检测系统设计方案,阐述了硬件系统选择和软件系统构建,介绍了检测系统的工作原理;选用近红外微机电系统的数字微镜器件作为分光元件,以单点探测器获取检测信息,从而实现光谱检测系统的微型化设计和系统成本的显著降低。以检测番茄为例,利用设计的手持式检测系统,获取番茄900~1 700 nm范围的近红外光谱,利用先选择特征波段再优选波长的建模策略,分别建立了番茄中番茄红素和可溶性固形物含量的定量检测模型;可溶性固形物含量模型的预测相关系数和预测均方根误差分别为0.899和0.133%;番茄红素模型的预测相关系数和预测均方根误差分别为0.886和2.508 mg/kg。研究表明该系统能够满足果蔬品质的快速无损检测要求,可为实用化、小型化的手持式光谱检测仪设计和开发提供参考。

手持式ATP生物荧光检测仪研制

针对微量三磷酸腺苷（ATP）检测需求,利用生物荧光技术,设计了一种手持式ATP检测仪。该检测仪以小型光电倍增管PMT为光电转换器件,通过有效的干扰屏蔽和信号采集放大电路设计,实现了ATP反应释放微弱荧光信号的采集。以10^-15-10^-9mol/L标准ATP样品为检测对象,以大型分析仪器F4500为对比仪器,进行了梯度对比实验,结果表明,本仪器可检测最低ATP浓度为10^-14mol/L,是F4500最低检测限的1/100。检测时间为10s时,在10v-14-10^-9mol/L浓度范围内,本仪器响应值与标准ATP样品浓度在对数坐标下线性相关,相关系数达到了0.9902。

手持式可见近红外苹果品质无损检测系统设计与试验

为实现苹果多产地多品质指标的现场快速无损检测与评价,该研究基于可见近红外光谱技术研发低成本、低功耗、小型化的苹果品质手持式无损检测终端。检测终端集成宽谱LED光源和水果特征响应窄带光电探测器,接入物联网云端数据系统,实现检测数据上传和模型的远程更新维护。利用研制的检测系统可有效获取不同产区苹果500~1050 nm波长范围内的漫反射光谱,优选光谱预处理算法消除干扰并采用不同特征波长提取算法对数据进行降维,分别建立了多产地苹果可溶性固形物含量、硬度和维生素C含量的通用检测模型,模型的预测相关系数分别为0.926、0.798和0.704,预测均方根误差分别为0.585%、1.405 kg/cm^(2)和0.968 mg/100g。将通用检测模型载入云端数据系统作为云模型,检测样本时调用云模型进行计算并反馈至检测终端。通过多个产地独立样本的验证表明,该系统可满足苹果产业现场无损检测的实际需求,为手持式光谱检测仪的实用化设计提供参考。

用于手持设备的嵌入式计算机系统设计

文章给出了一种用于手持设备的嵌入式计算机系统设计方案。系统基于IntelStrongARM处理器,支持TFT液晶显示器、触摸屏、快捷键等多种外设和接口;运行WindowsCE操作系统,集成了汉字手写识别和电子地图软件,并运行专门开发的用户程序。文中对系统的组成结构、I/O接口、操作系统定制、应用程序结构等进行了详述。

嵌入式手持无线农产品价格信息采集终端

手持无线农产品价格信息采集终端采用ARM-Linux嵌入式体系设计,通过GPRS无线网络向远程服务器上传农产品价格信息同时接收系统的采集指令。手持终端利用Qtopia core用户界面支持,提供了友好的用户界面,并利用嵌入式数据库实现农产品种类和历史记录的管理,使用户操作简单、直观、方便。手持无线农产品价格信息采集终端为农产品价格采集系统提供了具有良好用户体验的终端设备,为在全国范围内实现农产品价格监控提供了技术保障。