Embedded

摘要： This paper describes a new actively controlled multi-fan wind tunnel that generates natural wind as a type of turbulence wind tunnel at a reduced cost. The driving section of the wind tunnel has 100 PC cooling fans that are controlled by an original embedded system. The fluctuating velocity wind is successfully generated with a mean velocity of 7 m/s and two turbulent intensities of 2% and 3% based on Karman’s power spectrum density function. The case of 2% has the integral scales of 5 m, 10m and 20 m, and the case of 3% has the integral scales of 3 m, 6 m and 15 m with a turbulence grid. In particular, the wind with the turbulent intensity of 2% satisfies the Kolmogorov’s -5/3 multiplication rule of inertial subrange with the frequency range from 0.01 Hz to 2.0 Hz. Consequently, the new wind tunnel can be used for studying engineering technology and research regarding conditions with natural wind.

摘要： The investigation is generalized to clusters with sizes up to 3000 atoms, covering this way the range of sizes experimentally available for low energy cluster beam deposition. The atomic scale modeling is carried on by both Molecular Dynamics and Metropolis Monte Carlo. This represents a huge series of simulations (175 cases) to which further calculations are added by spot when finer tuning of the parameters is necessary. Analyzing the results is a major task which is still in progress. This way, not only a realistic range of sizes is covered, but also the whole range of compositions and the temperature range relevant to the solid and the liquid states.

摘要： With the widespread application of WIFI networks and embedded system technology, the device monitoring system based on Embedded System and wireless network came into being. In this paper, we introduce a device monitoring system based on ARM upper computer and WIFI transmission, and we tested this system on workshop equipment. The hardware adopts ARM Cortex-A8 processor architecture of TI company as the main control chip, using IAC-335X-Kit development board for system design, external USB camera module and WIFI wireless module for video capture and data transmission. The software is based on embedded Linux as the platform. The system will collect production data accurately and objectively, and the statistical analysis. At the same time, the system uses QT to develop the upper computer software GUI interface. Compared with the traditional system based on the wired network, our design is more convenient and flexible, which reduces the implementation restriction and maintenance cost of traditional network cabling.

摘要： In stroke rehabilitation,rehabilitation equipments can help with the training.But traditional equipments are not convenient to carry,which limits patients to use related rehabilitation techniques.To solve this kind of problem,a new embedded rehabilitation system based on brain computer interface(BCI)is proposed in this paper.The system is based on motor imagery(MI)therapy,in which electroencephalogram(EEG)is evoked by grasping motor imageries of left and right hands,then collected by a wearable device.The EEG is transmitted to a Raspberry Pie processing unit through Bluetooth and decoded as the instructions to control the equipment extension.Users experience the limb movement through the visual feedback so as to achieve active rehabilitation.A pilot study shows that the user can control the movement of the rehabilitation equipment through his mind,and the equipment is convenient to carry.The study provides a new way to stroke rehabilitation.

摘要： With the continuous improvement in living standards and great changes in lifestyles, more attention is being paid to the embedded carbon emissions produced by human consumption. With large sample data and high-resolution remote sensing images, we explored the spatial differentiation and influencing factors of household embedded carbon emissions within the city fine scale using the EIO-LCA model, spatial autocorrelation analysis and standard deviation ellipse, quantile regression, etc. The results indicate that the spatial dependence is more obvious than the characteristics of spatial heterogeneity;the high-value area of household embedded carbon emissions gathers in new development zones in cities that are expanding rapidly, mainly with residents in large number of newly-built commercial housing families and the relative’s courtyard of institutions. The factors of family characteristics, housing characteristics, lifestyles, and consumption concept have significant effects on the embedded carbon emissions of each person. The influencing intensity of most factors showed an increasing trend with increased carbon emissions. The study verified the impact of urban sprawl on residential carbon emissions and the applicability of the situated lifestyles theory in the construction of urban low-carbon communities in China.

摘要： In response to maternal deaths being three-fold higher for black women than other races in New York City, Governor Andrew M. Cuomo created a taskforce which met for a year. In March 2019, the taskforce published ten recommendations to address the current healthcare disparities. The taskforce recommended utilizing medical simulation training to improve skills and communication. Peer-reviewed literature was explored for evidentiary support for embedding a simulation program in a NYC public hospital. In addition, obstacles to and advantages of in-situ simulation programs were discussed. Steps for garnering executive leadership support, improving teamwork, defining outcome measures, and identifying beneficiaries of in-situ simulation programs were explored.

摘要： The traditional human comfort meter has the following defects: the interface is not uniform;the operation is cumbersome and complicated;the interface is unfriendly, and the stability and adaptability are poor. This paper presents a design scheme for human comfort instrument based on embedded system, using S3C2440 embedded development board and the sensors to collect the real-time temperature, relative humidity and wind speed data and to process the collecting data;then obtaining the human body comfort value according to the basic algorithm of human body comfort instrument;giving the human comfort conclusion according to the diastolic index range of human comfort, and showing the temperature and humidity, wind speed, comfort value and conclusion through writing the Qt graphical user interface program. At the same time, the human comfort instrument has the data storage function. The human comfort instrument is high in integration, strong in real time, high in sensitivity, stable and reliable, and it meets the development goals of the intelligent meteorological service, and meets the demand of the meteorological service that is closer to life, and it has broad development prospect.

摘要： Intelligent equipment is a kind of device that is characterized by intelligent sensor interconnections, big data processing, new types of displays, human-machine interaction and so on for the new generation of information technology. For this purpose, in this paper, first, we present a type of novel intelligent deep hybrid neural network algorithm based on a deep bidirectional recurrent neural network integrated with a deep backward propagation neural network. It has realized acoustic analysis, speech recognition and natural language understanding for jointly constituting human-machine voice interactions. Second, we design a voice control motherboard using an embedded chip from the ARM series as the core, and the onboard components include ZigBee, RFID, WIFI, GPRS, a RS232 serial port, USB interfaces and so on. Third, we take advantage of algorithms, software and hardware to make machines “understand” human speech and “think” and “comprehend” human intentions to structure critical components for intelligent vehicles, intelligent offices, intelligent service robots, intelligent industries and so on, which furthers the structure of the intelligent ecology of the Internet of Things. At last, the experimental results denote that the study of the semantics interaction controls based on an embedding has a very good effect, fast speed and high accuracy, consequently realizing the intelligent ecology construction of the Internet of Things.

摘要： Automatic speech recognition, often incorrectly called voice recognition, is a computer based software technique that analyzes audio signals captured by a microphone and translates them into machine interpreted text. Speech processing is based on techniques that need local CPU or cloud computing with an Internet link. An activation word starts the uplink;“OK google”, “Alexa”, … and voice analysis is not usually suitable for autonomous limited CPU system (16 bits microcontroller) with low energy. To achieve this realization, this paper presents specific techniques and details an efficiency voice command method compatible with an embedded IOT low-power device.

摘要： Based on the limitations of traditional plant nutrient solution detection, a ZigBee plant nutrient solution detection system based on CC2530 was developed. This system uses CC2530 as the main control chip, DS18B20 as the temperature sensor for temperature acquisition, PH electrode sensor for PH value acquisition. The experiment shows that this wireless control system equipped with temperature and pH detection sensor collects and samples the main nutrient solution parameters through the main controller, performs wireless communication transmission and terminal communication, and realizes the intelligent detection of plant nutrient solution parameters. This technique of applying wireless sensor network technology to plant factories greatly improves the reliability and stability of the nutrient monitoring system.

摘要： 本发明涉及通讯技术领域，尤其是一种在O2O应用中基于Embedded‑SIM的手机码号安全保护系统，包括个人用户端、互联网平台、互联网用户端、认证模块、请求管理模块、号码管理模块及擦写控制模块，所述认证模块用于所述个人用户端及所述互联网平台的实名认证；所述请求管理模块用于分析判断所述个人用户端及所述互联网平台是否认证成功，并能够响应通过所述认证模块认证成功的个人用户端及互联网平台发起临时号码的需求；所述号码管理模块用于临时号码的生成及分配；所述擦写控制模块用于临时号码的写入。本发明能够使主叫与被叫直接通话，无需经过互联网软件平台，减少成本投入，并且能够减少核心网资源的占用。

摘要： 本发明公布了一种用于点击率预测的基于图的大规模embedding模型训练方法及系统，系统包括密集参数模块和客户端模块，采用混合通信架构，将点击率预测输入数据集分配给不同工作节点，每个工作节点维护一个客户端，本地模型参数均直接存储在GPU内存中；每个工作节点均持有模型参数副本，并在训练时进行同步。本发明采用Embedding模型参数表示点击率预测输入数据对应类别特征值的重要性，将点击率预测数据和embedding模型向量表示为二元图模型，利用图局部性和度数偏斜特性执行模型并行训练；设计基于图的分区和有界同步，提高训练大型embedding模型的可扩展性和并行计算效率。

摘要： 本发明公开了一种Embedded Flash误写保护方法，所述方法步骤包括：Embedded Flash控制器收到写操作指令后，缓存所述写操作的地址和数据，并读取所述地址的数据；判断读取的数据是否为32’hFFFF_FFFF，如果是，则全区域能够执行写操作；如果不是，则进一步判断对word中的每一个byte的值是否有8’hFF；如果值有8’hFF，则所述word能够执行写操作；如果值没有8’hFF，则整个word不能执行写操作，本发明提高了Embedded Flash误写保护的保护范围，实现了对Flash全区域的误写保护，保护颗粒度小，减少误写概率。

摘要： 本发明提供了一种基于embedding属性相似度的材料工艺流程匹配方法。本方法首先获取工艺实体和属性关系向量嵌入，计算工艺实体特征相似度；再根据工艺实体特征相似度进行实体对齐，计算工艺属性特征相似度；结合预设标准工艺流程步骤训练工艺实体特征权重信息；再根据工艺实体特征权重信息和属性特征相似度，加权求和得到两个材料之间的工艺流程相似度；再根据工艺流程相似度对工艺流程进行匹配。本发明基于属性相似度的材料工艺流程匹配方法，不同于传统流程相似度计算只考虑网络结构而忽视属性边的语义信息，而是融合了多样化的属性语义信息，有效提升材料加工工艺流程的相似度计算和匹配的准确度。

摘要： 本发明属于计算机应用技术领域，公开了一种外卖场景下店铺embedding特征提取的方法、计算机、计算机程序。提取每个用户消费的行为序列；用户消费行为序列按店铺平均消费价格、店铺类别划分；对于划分后的消费序列，提取出训练样本；构建基于负抽样的skip‑gram模型，并利用tensorflow框架训练；提取店铺的embedding特征向量。本发明对店铺进行embedding特征提取，获取了店铺某些方面的特征信息，将数据从高维的one‑hot特征空间转换为指定维度的embedding特征空间；结合商户的embedding特征与线上模型，带来线上下单模型的整体性能提升。

摘要： 本发明提供了一种面向异构内存设备的深度学习Embedding数据高效处理系统及方法，该系统包括三个模块，其中Embedding数据摆放模块用于将Embedding数据与预加和数据进行分类并摆放到NVM或者DRAM上；高效索引建立模块用于对摆放好的数据建立索引；Embedding操作运行模块利用已建立好的索引，快速对请求中涉及的Embedding数据进行定位，并执行正常的Embedding操作。本发明利用深度学习Embedding数据的冷热特性以及打包出现特性在异构内存设备上进行数据摆放；并建立轻量级索引以高效地服务任务请求，该系统能够最大化利用DRAM与NVM的空间，提高系统对Embedding数据的处理效率。

摘要： 本发明公布了一种用于点击率预测的基于图的大规模embedding模型训练方法及系统，系统包括密集参数模块和客户端模块，采用混合通信架构，将点击率预测输入数据集分配给不同工作节点，每个工作节点维护一个客户端，本地模型参数均直接存储在GPU内存中；每个工作节点均持有模型参数副本，并在训练时进行同步。本发明采用Embedding模型参数表示点击率预测输入数据对应类别特征值的重要性，将点击率预测数据和embedding模型向量表示为二元图模型，利用图局部性和度数偏斜特性执行模型并行训练；设计基于图的分区和有界同步，提高训练大型embedding模型的可扩展性和并行计算效率。

摘要： 本发明提供了一种基于Embedding‑CNN的混合车群运动演化规律的刻画方法，属于智能交通信息技术领域。本方法包括以下步骤：首先，选定监测路段，通过监测路段路侧或车载传感器，截取t时刻监测路段混合异质车群的单车数据；再将步骤1)截取的单车数据进行预处理，获得Embedding‑CNN模型数据集；然后，构建Embedding‑CNN模型，并根据步骤2)获得的Embedding‑CNN模型数据集对Embedding‑CNN模型进行训练；最后，在测试集上对Embedding‑CNN模型的准确性进行验证。本方法从单个车辆行为出发，探究网联自动车的渗透率和空间分布与混合车群运动演化之间的关系等问题，建立基于Embedding‑CNN的深度学习模型实现对混合车群运动演化规律的精准刻画，为掌握网联环境下新型混合交通的运行状态提供依据。

摘要： 本发明公开了一种基于WordEmbedding的配网设备一致性识别方法，所述方法包括：数据清洗；将配网设备分为：标识ID、类别信息、可区分属性信息、实体名称以及邻居实体等；通过分词及词频统计等方法，基于WordEmbedding对实体名称及邻居实体构造名称向量和邻居向量；根据名称向量和邻居向量构建倒排索引，基于所述规则生成初始候选集；基于可区分属性及类别信息过滤候选集，形成最终候选集；名称向量及邻居向量线性融合；基于余弦距离计算实体相似度并阈值调优。本发明解决了传统一致性识别方法存在的计算复杂度过高以及综合效果不佳等问题。

摘要： 本发明公开了一种Embedded Flash误写保护方法，所述方法步骤包括：Embedded Flash控制器收到写操作指令后，缓存所述写操作的地址和数据，并读取所述地址的数据；判断读取的数据是否为32’hFFFF_FFFF，如果是，则全区域能够执行写操作；如果不是，则进一步判断对word中的每一个byte的值是否有8’hFF；如果值有8’hFF，则所述word能够执行写操作；如果值没有8’hFF，则整个word不能执行写操作，本发明提高了Embedded Flash误写保护的保护范围，实现了对Flash全区域的误写保护，保护颗粒度小，减少误写概率。