The Ultrasonix 500RP: a commercial ultrasound research interface

Unlike researchers in magnetic resonance imaging who have considerable access to high level tools and to data at a very basic level on their scanners, those involved with ultrasound have found little in the way of meaningful and widespread access to even the most basic echo signals in their clinical systems. Interest has emerged, however, in ultrasound research interfaces on commercial scanners to provide access to raw ultrasound data and control of basic research functions. This paper describes initial experience gained on one such ultrasound system. The Ultrasonix 500RP system provides research access to the data at multiple points in the signal processing chain and allows control over most imaging parameters. The Ultrasonix system allows for three methods of research control. One is implemented along with the standard clinical imaging software using "mouseover" screens on the periphery of the application window. These screens are configured by the user to display various signal processing variables, which can be modified in real time. Second, the system can be controlled via a user-written remote control client application interacting through the clinical exam software. Lastly, the user can write a complete application which initializes the basic ultrasound module but need not use the Ultrasonix clinical exam software. All of the modes can be done locally on the scanner itself or via a network, and are based on software developed in C++ with libraries supplied with the scanner. Two examples are presented in this paper from the evaluation of the system in "real world" applications. Measurements of absolute backscatter coefficients and attenuation coefficients versus frequency are shown and elastograms utilizing spatial compounding are described.     

Pipeline Defect Detection Cloud System Using Role Encryption and Hybrid Information

Pipeline defect detection systems collect the videos from cameras of pipeline robots, however the systems always analyzed these videos by offline systems or humans to detect the defects of potential security threats. The existing systems tend to reach the limit in terms of data access anywhere, access security and video processing on cloud. There is in need of studying on a pipeline defect detection cloud system for automatic pipeline inspection. In this paper, we deploy the framework of a cloud based pipeline defect detection system, including the user management module, pipeline robot control module, system service module, and defect detection module. In the system, we use a role encryption scheme for video collection, data uploading, and access security, and propose a hybrid information method for defect detection. The experimental results show that our approach is a scalable and efficient defection detection cloud system.     

XPC: an on-line expert system for statistical process control

The majority of available microcomputer packages for statistical process control (SPC) are off-line programs which present information regarding quality in the form of control charts. The user has to interpret the charts to infer process and product quality. This paper describes XPC, an on-line expert system for SPC. The system produces mean and range charts and interprets them automatically. XPC consists of five main modules. The first module ascertains process parameters and constructs the charts. The second module performs capability analysis to ensure that these control charts are compatible with the process specifications. The third module interprets on-line data, detects possible out-of-control situations and suggests corrective actions. The fourth module updates the charts to improve process capability. The last module produces periodical reports. XPC is based on Leonardo, an expert system shell with a hybrid knowledge representation facility enabling the use of rules, rulesets, frames, procedures and classes     

Transparent Access to Heterogeneous IoT Based on Virtual Resources

The Internet of Things (IoT) inspires industries to deploy a massive number of connected devices to provide smart and ubiquitous services to influence our daily life. Edge computing leverages sufficient computation and storage at the edge of the network to enable deploying complex functions closer to the environment using Internet-connected devices. According to the purpose of the environment including privacy level, domain functionality, network scale and service quality, various environment-specific services can be provided through heterogeneous applications with sensors and actuators based on edge computing. However, for providing user-friendly service scenarios based on the transparent access to heterogeneous devices in edge computing, a consistent interface shall be provided to deliver services from edge computing to clients. In this paper, we propose transparent computing based on virtual resources to access heterogeneous IoT devices without considering the underlying network configuration at the edge of the networks. For supporting transparent access to different edge computing environments through a consistent interface, the virtual resource of edge gateway is proposed to bridge the Internet and devices which are deployed on the edge of the network. The proposed edge gateway exposes the services of the Internet of Things devices to the Internet using virtual resources that represent the resources of physical devices. The virtual resources provide a consistent interface to enable clients to access devices in edge computing without considering underlying protocols. The virtual resource is generated by the resource directory in the edge gateway through the registration of a device. Based on the device registration, the device information is stored in the gateway to link virtual resources and devices for translating messages according to the destination protocols and identifying physical devices that are represented by virtual resources. Moreover, through collaboration with the service provider, the function of device discovery and monitoring is provided to clients.     

Using alloy to analyse a spatio-temporal access control model supporting delegation

Pervasive computing applications use the knowledge of the environment to provide better services and functionality to the end user. Access control for such applications needs to use contextual information. Towards this end, we proposed an access control model based on role-based access control that uses the environmental contexts time and location to determine whether a user can get access to some resource. The model also supports delegation which is important for dynamic applications where a user is unavailable and permissions may have to be transferred temporarily to another user/role in order to complete a specific task. Such a model typically has numerous features to support the requirements of various applications. The features may interact in subtle ways to produce conflicts. Here, we propose an automated approach using Alloy for detecting such conflicts. Alloy is supported by a software infrastructure that allows automated analysis of models and has been used to verify industrial applications. The results obtained from the analysis will enable the users of the model to make informed decisions.     

IN/Internet互通下用户拨号接入系统的研究和设计

从技术实现的角度针对ITU－T智能网能力集3草案定义的智能网与因特网的互通模型的呼叫承载网关功能实体进行了研究，并对IUT－T的智能网与因特网的互通模型作出改进。在此基础上提出了基于现有ISP远程用户拨号接入系统实现支持智能网与因特网互通业务的用户拨号接入系统的设计方案。     

分层软小区无线接入网及其性能分析

基于分布式天线系统的概念,提出了一种新型的无线接入网络结构--分层软小区(HSC)无线网络.该网络采用集中统一的资源管理策略,由软件控制多个天线端口形成软小区服务于移动终端,同时,按照资源的正交划分形成地域上重叠的多层不同大小和形状的软小区,以适应不同的用户场景.分析表明,分层软小区无线网络的系统容量、干扰、阻塞率等性能都比传统蜂窝网络有较大的提高.     

基于RAHP和QFD的智能空气净化器设计研究

目的 有效获取用户对家用智能空气净化器的需求及其优先级,进一步将用户需求转化为设计要求,识别出智能空气净化器的关键设计要求,进而为设计提供参考依据,提升用户满意度。方法 首先通过问卷调查以及访谈法获取用户需求,并利用亲和图法(KJ法)构建关于智能空气净化器用户需求的层次模型,再引入粗糙层次分析法(RAHP)获取各项用户需求初始重要度,同时运用模糊卡诺模型(FKM)确定各项需求类别,并基于需求类别引入调整系数对初始重要度进行调整,最后利用质量功能展开(QFD)将用户需求转化为设计要素,明确智能空气净化器的关键设计要求,指导智能空气净化器的设计。结论 通过对智能空气净化器的用户需求进行较为深入的分析,将用户需求转化为设计要求,识别出了智能空气净化器在滤网模块、智能检测模块、信息显示模块、远程APP控制模块以及风速控制模块等方面的设计要求重要度较高,并以此为依据提出了设计方案,得到了用户较高的满意度,所得研究方法及流程可为设计出符合用户需求的产品提供参考。     

A Distributed Privacy Preservation Approach for Big Data in Public Health Emergencies Using Smart Contract and SGX

Security and privacy issues have become a rapidly growing problem with the fast development of big data in public health. However, big data faces many ongoing serious challenges in the process of collection, storage, and use. Among them, data security and privacy problems have attracted extensive interest. In an effort to overcome this challenge, this article aims to present a distributed privacy preservation approach based on smart contracts and Intel Software Guard Extensions (SGX). First of all, we define SGX as a trusted edge computing node, design data access module, data protection module, and data integrity check module, to achieve hardware-enhanced data privacy protection. Then, we design a smart contract framework to realize distributed data access control management in a big data environment. The crucial role of the smart contract was revealed by designing multiple access control contracts, register contracts, and history contracts. Access control contracts provide access control methods for different users and enable static access verification and dynamic access verification by checking the user’s properties and history behavior. Register contract contains user property information, edge computing node information, the access control and history smart contract information, and provides functions such as registration, update, and deletion. History contract records the historical behavior information of malicious users, receives the report information of malicious requestors from the access control contract, implements a misbehavior check method to determines whether the requestor has misbehavior, and returns the corresponding result. Finally, we design decentralized system architecture, prove the security properties, and analysis to verify the feasibility of the system. Results demonstrate that our method can effectively improve the timeliness of data, reduce network latency, and ensure the security, reliability, and traceability of data.     

Design on Vibration Monitoring and Fault Diagnosis System of Large Water Pump Motor

Large water pump motor,whose operation decides the reliability of the whole production line,plays a very important role. Therefore,its online condition monitoring can help companies better know its operation,process fault analysis and protection. The essay mainly studies and designs large water pump motor' s real time vibration monitoring and fault diagnosis system. The essay completes the systems project design,the establishment of the system and performance test. Eddycurrentsensor,XM-120 vibration module,XM-320 axial translation module,XM-362 temperature module,XM-360 process amount module and XM-500 gateway module are used to measure the axial vibration and displacement of main motors. Laboratory tests prove that the system can meet the requirements of motor vibration monitoring.     

Improving Performance in HPC Centers by Modeling Users Through an Evolutionary Virtual Interface

An agent-based profiling approach is presented in this paper in the form of a virtual interface that models user behavior and satisfaction with the objective of improving the performance of high-performance computing (HPC) centers. The interface's function is to translate user requests and satisfaction criteria into what is really necessary, thus permitting the optimization of the HPC center's scheduling, taking into account the predicted user satisfaction together with the objectives of the management of the center in terms of resource usage and cost. The system is built using an evolutionary agent-based profiling architecture where agents are evolved in real time to adapt to the different users. These agents cooperate with the scheduling mechanism, providing resource usage estimations for the different tasks, as well as predicting the effect of possible strategies on user satisfaction. This paper focuses on the user behavior modeling component, although the global architecture is also presented. Some experiments are carried out where the proposed architecture interacts with a real job-management system (JMS) (Sun Grid Engine). They clearly show that modeling the user and taking user satisfaction into account helps to improve system performance.      

基于网格的在线考试系统

当前的在线考试系统各自独立,使得教育资源分散,不能满足社会对教育资源日益增长的需求,而网格技术是继万维网之后出现的新型网络计算技术,实现了网格资源的极大共享和无缝集成;网格门户则提供了统一访问网格资源的手段,可以透明地访问来自不同地域的各种异构资源。网格技术可以实现教育资源的透明共享,该文介绍如何采用网格技术构建基于网格的在线考试系统,实现学校间的题库资源的透明共享,并阐述网格在线考试系统设计与实现的关键技术。     

面向个性化需求的模块化设计模型研究

目的在时代快速发展的潮流下,为满足市场的差异化和用户对个性化的追求,对定制化产品设计的合理性进行分析。方法依据市场调研的相关结果,在传统模块化设计的基础上进行创新,主要阐述了模块划分、模块推演和模块重组。利用形状文法对划分后的模块单元进行了形态衍生设计,并对输出形态以相对科学的方法进行设计评价,使其更容易获得用户的认可。结论以健身车设计为例,对研究流程的可行性进行了验证。通过获得与用户需求相匹配的产品形态,来服务于用户个性化定制,为兼顾企业与用户两者的共同利益奠定了基础。     

A Key Recovery System Based on Password-Protected Secret Sharing in a Permissioned Blockchain

In today’s fourth industrial revolution, various blockchain technologies are being actively researched. A blockchain is a peer-to-peer data-sharing structure lacking central control. If a user wishes to access stored data, she/he must employ a private key to prove ownership of the data and create a transaction. If the private key is lost, blockchain data cannot be accessed. To solve such a problem, public blockchain users can recover the key using a wallet program. However, key recovery in a permissioned blockchain (PBC) has been but little studied. The PBC server is Honest-but-Curious (HBC), and should not be able to learn anything of the user; the server should simply recover and store the key. The server must also be resistant to malicious attacks. Therefore, key recovery in a PBC must satisfy various security requirements. Here, we present a password-protected secret sharing (PPSS) key recovery system, protected by a secure password from a malicious key storage server of a PBC. We describe existing key recovery schemes and our PPSS scheme.     

Development of an E-maintenance System for a CNC System

Globalization and rapid growth of network technologies have changed the traditional patterns of device maintenance. E-maintenance has emerged and is widely used in many manufacturing systems. In this paper, a new architecture of an E-maintenance system is proposed, which consists of E-maintenance centre, embedded CNC gateway and CNG terminal. The E-maintenance centre provides the technical support and service for customers based on Internet and communication technologies. The embedded CNC gateway serves as an agent between the public and plant device network, and provides web-based access for the CNC system. A reconfigurable CNC terminal is highly desired in a signal measuring and analysing system, which is built on the top of component and software bus based models. Finally, the E-maintenance system for the CNC machine is implemented and the experiments show that the architecture of an E-maintenance system can effectively reduce the downtime of devices, the responding time of maintenance work, and increase both the quality and the productivity of enterprises.     

Interactive AR-assisted product disassembly sequence planning (ARDIS)

This paper presents a proof-of-concept novel near real-time interactive AR-assisted product disassembly sequence planning system (ARDIS) based on product information, such as interference matrix and 3D models. The system is developed using Unity and consists of three modules, including an intelligent disassembly sequence planning module, an automatic content authoring module and an intuitive augmented reality (AR) user interface (UI) with various features, such as a virtual panel for customisation and an option panel for sequence regeneration. Given the retrieval targets specified by a user, optimised disassembly sequences are computed using an evolutionary computing algorithm. For the sequences computed, the respective AR disassembly instruction sequences, such as 2D text instructions and animated 3D models, are generated dynamically based on a taxonomy that links each disassembly step in a sequence with the corresponding Unity templates that have been created beforehand. Hence, the need for manual authoring to provide AR disassembly guidance is reduced. If necessary, the user can request for alternative disassembly sequences which can be re-computed in near real-time. Several case studies have been carried out to demonstrate and evaluate the performance of the system within the laboratory environment.     

铁路车辆偏载自动检测系统的研制

本文介绍了一种对铁路列车车辆进行自动偏载检测的测试系统。系统通过采用嵌入式控制模块实现了现场数据采集、远距离控制。使得用户在洁净的工作室就能实现对恶劣工业现场的控制。在工控机发生故障或死机时，测试系统其它环节依然能正常工作。在对测试系统的软硬件部分作了必要的说明的同时，对测试系统存在的误差进行了分析。     

Consumer electronics control system based on hand gesture moment invariants

Almost all consumer electronic equipment today uses remote controls for user interfaces. However, the variety of physical shapes and functional commands that each remote control features also raises numerous problems: the difficulties in locating the required remote control, the confusion with the button layout, the replacement issue and so on. The consumer electronics control system using hand gestures is a new innovative user interface that resolves the complications of using numerous remote controls for domestic appliances. Based on one unified set of hand gestures, this system interprets the user hand gestures into pre-defined commands to control one or many devices simultaneously. The system has been tested and verified under both incandescent and fluorescent lighting conditions. The experimental results are very encouraging as the system produces real-time responses and highly accurate recognition towards various gestures     

Adaptive opportunistic fair scheduling in power-controlled code division multiple access systems

The authors treat the multiuser scheduling problem for practical power-controlled code division multiple access (CDMA) systems under the opportunistic fair scheduling (OFS) framework. OFS is an important technique in wireless networks to achieve fair and efficient resource allocation. Power control is an effective resource management technique in CDMA systems. Given a certain user subset, the optimal power control scheme can be derived. Then the multiuser scheduling problem refers to the optimal user subset selection at each scheduling interval to maximise certain metric subject to some specific physical-layer constraints. The authors propose discrete stochastic approximation algorithms to adaptively select the user subset to maximise the instantaneous total throughput or a general utility. Both uplink and downlink scenarios are considered. They also consider the time-varying channels where the algorithm can track the time-varying optimal user subset. Simulation results to show the performance of the proposed algorithms in terms of the throughput/ utility maximisation, the fairness, the fast convergence and the tracking capability in time-varying environments are presented.     

A fast procedure for computing the total system cost of an appointment schedule for medical and kindred facilities

Scheduling outpatients and medical operation rooms has the following structure: Nusers are given appointment times to use a facility, the duration required by the facility to service each user is stochastic. The system incurs a “user idle cost” if a user arriving at the appointed time finds the facility still engaged by preceding users, while a “facility idle cost” is incurred if the facility becomes free before the next user arrives. We develop an accurate procedure to compute the expected total system costs for any given appointment schedule. Compared to earlier related procedures, ours is much faster and can handle larger problems as well as very general service-time distributions. We then show that this fast computation procedure enables one to determine easily the “lowest-cost appointment schedule” for any given “job” (i.e., “user”) sequence. This in turn will enable one to search for the optimal job sequence that has the best “lowest-cost appointment schedule”.