System Hardware Configuration Research Articles

Efficient UAV Communications: Recent Trends and Challenges

Unmanned Ariel Vehicles (UAVs) are flying objects whose trajectory can be remotely controlled. UAVs have lot of potential applications in the areas of wireless communications, internet of things, security, traffic management, monitoring, and smart surveying. By enabling reliable communication between UAVs and ground nodes, emergency notifications can be efficiently and quickly disseminated to a wider area. UAVs can gather data from remote areas, industrial units, and emergency scenarios without human involvement. UAVs can support ubiquitous connectivity, green communications, and intelligent wireless resource management. To efficiently use UAVs for all these applications, important challenges need to be investigated. In this paper, we first present a detailed classification of UAVs based on factors such as their size, communication range, weight, and flight altitude. We also explain the hardware system configuration and uses of these UAVs. We present a brief overview of recent work done related to three major challenges in UAVs. These challenges include trajectory control, energy efficiency and resource allocation. We also present three open challenges and future opportunities for efficient UAV communications. These include use of learning algorithms for resource allocation and energy efficiency in UAVs, intelligent surfaces-based communications for enhanced reliability in UAVs, and security algorithms to combat malicious attacks against UAVs.

Implementation of Artificial Intelligence Algorithm In Embedded System

The development of embedded technology directly affects the development of Internet of Things, and the development of artificial intelligence brings great convenience to people’s life. Based on this, the implementation method of artificial intelligence algorithm in embedded system is studied. Based on embedded system hardware configuration and the embedded system software running algorithm is optimized, simplifying the operation steps of the embedded system, improve the effect of embedded system, to strengthen the research of embedded technology, and increase investment in manpower and material resources in embedded system research, learning western advanced technology, and the embedded technology is applied in the Internet of things, to improve the effect of artificial intelligence algorithm in the application of the embedded system. The experimental results show that the artificial intelligence algorithm is applied to the embedded system to improve the system performance effectively.

Towards Digital Twins for the Description of Automotive Software Systems

We present models for automotive software that capture quantitative and qualitative aspects of software systems and the underlying hardware architecture. In particular, we consider different levels of computing power. These range from controllers up to the cloud. We present a modeling approach for software deployment taking different automotive requirements such as criticality, latency, memory, computational resources, and communication into account. Our models capture automotive software and hardware system configurations and can serve as digital twins that are digital counterparts of (usually) physical entities. Furthermore, we highlight connected research areas and challenges.

High-speed videogrammetric measurement of the deformation of shaking table multi-layer structures

This paper proposes a practical videogrammetric technique to measure shaking table tests of multi-layer structure models using two CMOS cameras. Three major issues, including high-speed videogrammetric hardware system configuration and network configuration, image sequence processing, and deformation information retrieval, are studied. The implementation of the proposed method is illustrated with a shaking table experiment for a multi-layer reinforced concrete structure in Tongji University, Shanghai. Sub-millimeter-level accuracy for the deformation measurements was achieved with the image resolution of 1280 (H) by 1024 (V) pixels. The velocity and acceleration of the shaking table structure are obtained accordingly. The results from the videogrammetric technique are compared with those from the traditional gauging and accelerometer methods. The experimental results show that, when compared with the traditional methods, the proposed videogrammetric method measures the deformation with sub-millimeter accuracy and can obtain more detailed peak values at the critical points on the shaking table structure.

Automatic welding system design for transformer station grounding steel based on PLC

Based on the analysis of the type of grounded flat steel welding, the transformer station grounding flat steel automatic welding system is designed by using the XDM PLC as the main controller, and the three-axis motionmechanism and the R-axis rotationmechanism as actuators. According to working requirements, such as four-dimensional space degree of freedom welding requirements, system hardware configurations, the actuator design, system hardware selection, and the hardware connection form of the system are determined at first. The paper introduces the composition and working principle of the automatic welding system, focusing on the coordinate transformation relationship in the visual measurement, and gives the calibration process. The compensationmethods after the rotation of the welding torch at each inflection point are discussed, and the different welding parameters are used according to different seam types during the welding process. The flow chart of control program is given out for the welding gun attitudes adjustment. The testing welding result shows this designed system can track the welding seam quite well and welding quality is satisfying, the more, this system can improve the welding efficiency greatly.

PC-PVT 2.0: An updated platform for psychomotor vigilance task testing, analysis, prediction, and visualization

BackgroundThe psychomotor vigilance task (PVT) has been widely used to assess the effects of sleep deprivation on human neurobehavioral performance. To facilitate research in this field, we previously developed the PC-PVT, a freely available software system analogous to the “gold-standard” PVT-192 that, in addition to allowing for simple visual reaction time (RT) tests, also allows for near real-time PVT analysis, prediction, and visualization in a personal computer (PC). New methodHere we present the PC-PVT 2.0 for Windows 10 operating system, which has the capability to couple PVT tests of a study protocol with the study’s sleep/wake and caffeine schedules, and make real-time individualized predictions of PVT performance for such schedules. We characterized the accuracy and precision of the software in measuring RT, using 44 distinct combinations of PC hardware system configurations. ResultsWe found that 15 system configurations measured RTs with an average delay of less than 10 ms, an error comparable to that of the PVT-192. To achieve such small delays, the system configuration should always use a gaming mouse as the means to respond to visual stimuli. We recommend using a discrete graphical processing unit for desktop PCs and an external monitor for laptop PCs. Comparison with existing methodThis update integrates a study’s sleep/wake and caffeine schedules with the testing software, facilitating testing and outcome visualization, and provides near-real-time individualized PVT predictions for any sleep-loss condition considering caffeine effects. ConclusionsThe software, with its enhanced PVT analysis, visualization, and prediction capabilities, can be freely downloaded from https://pcpvt.bhsai.org.

Local Wireless File Sharing with Live Share and Browse with Social Network with File Replication Using Structured P2P Approach in MANNET

Smart file sharing is the software used to share files between the two or many devices. Wireless file sharing with current wireless sharing approaches lack in giving sufficient features to users who frequently share files, so it cannot satisfy both senders and receivers. Sharing process between cross platform might not result in good performance due to device constraints or result in poor user experience due to various Operating System versions and hardware configurations in low end wireless Smart Phones. Security is a major risk with live sharing feature. In order to avoid hacking of files by unauthorized users this software method will make the user place a file to transfer one time and many users can have access to it from their mobile device so that sender need notsend the same file to multiple users. This system acts like a temporary cloud (or) like a buffet system. This file sharing is mainly focused on media files sharing through Wi-Fi Bluetooth in wireless device like smart phone devices. This software will learn the environment of each data which needs to be shared and will decide what should be sent and what should be authenticated, and who can access a particular file. This software will notify each transaction for getting it verified by senders. The most important new feature is that receivers can browse the files in sender's devices from their own devices using Live Sharing feature to select whatthey need. This process of file sharing is applicable for sharing file with enterprises corporate industries, social network communities etc.

Modeling and design of a cone-beam CT head scanner using task-based imaging performance optimization

Detection of acute intracranial hemorrhage (ICH) is important for diagnosis and treatment of traumatic brain injury, stroke, postoperative bleeding, and other head and neck injuries. This paper details the design and development of a cone-beam CT (CBCT) system developed specifically for the detection of low-contrast ICH in a form suitable for application at the point of care. Recognizing such a low-contrast imaging task to be a major challenge in CBCT, the system design began with a rigorous analysis of task-based detectability including critical aspects of system geometry, hardware configuration, and artifact correction.The imaging performance model described the three-dimensional (3D) noise-equivalent quanta using a cascaded systems model that included the effects of scatter, scatter correction, hardware considerations of complementary metal-oxide semiconductor (CMOS) and flat-panel detectors (FPDs), and digitization bit depth. The performance was analyzed with respect to a low-contrast (40–80 HU), medium-frequency task representing acute ICH detection. The task-based detectability index was computed using a non-prewhitening observer model. The optimization was performed with respect to four major design considerations: (1) system geometry (including source-to-detector distance (SDD) and source-to-axis distance (SAD)); (2) factors related to the x-ray source (including focal spot size, kVp, dose, and tube power); (3) scatter correction and selection of an antiscatter grid; and (4) x-ray detector configuration (including pixel size, additive electronics noise, field of view (FOV), and frame rate, including both CMOS and a-Si:H FPDs). Optimal design choices were also considered with respect to practical constraints and available hardware components.The model was verified in comparison to measurements on a CBCT imaging bench as a function of the numerous design parameters mentioned above. An extended geometry (SAD = 750 mm, SDD = 1100 mm) was found to be advantageous in terms of patient dose (20 mGy) and scatter reduction, while a more isocentric configuration (SAD = 550 mm, SDD = 1000 mm) was found to give a more compact and mechanically favorable configuration with minor tradeoff in detectability. An x-ray source with a 0.6 mm focal spot size provided the best compromise between spatial resolution requirements and x-ray tube power. Use of a modest anti-scatter grid (8:1 GR) at a 20 mGy dose provided slight improvement (~5–10%) in the detectability index, but the benefit was lost at reduced dose. The potential advantages of CMOS detectors over FPDs were quantified, showing that both detectors provided sufficient spatial resolution for ICH detection, while the former provided a potentially superior low-dose performance, and the latter provided the requisite FOV for volumetric imaging in a centered-detector geometry.Task-based imaging performance modeling provides an important starting point for CBCT system design, especially for the challenging task of ICH detection, which is somewhat beyond the capabilities of existing CBCT platforms. The model identifies important tradeoffs in system geometry and hardware configuration, and it supports the development of a dedicated CBCT system for point-of-care application. A prototype suitable for clinical studies is in development based on this analysis.

TracSim: Simulating and scheduling trapped power capacity to maximize machine room throughput

Abstract The power supplied to machine rooms tends to be over-provisioned because it is specified in practice not by workload demands but rather by high energy LINPACK runs or nameplate power estimates. This results in a considerable amount of trapped power capacity—excess power infrastructure. Instead of being wasted, this trapped power capacity should be reclaimed to accommodate more compute nodes in the machine room and thereby increase system throughput. But to do this we need the ability to enforce a system-wide power cap. In this paper, we present TracSim, a full-system simulator that enables users to measure trapped power capacity and evaluate the performance of different policies for scheduling parallel tasks under a power cap. TracSim simulates the execution environment of a production HPC cluster at Los Alamos National Laboratory (LANL). TracSim enables users to specify the system topology, hardware configuration, power cap, and task workload and to develop resource configuration and task scheduling policies aimed at maximizing machine-room throughput while keeping power consumption under a power cap by exploiting CPU throttling techniques. We use real measurements from the LANL cluster to set TracSim’s configuration parameters. We leverage TracSim to implement and evaluate four resource scheduling policies. Simulation results indicate the performance of those policies and quantify the amount of trapped capacity that can effectively be reclaimed.

Diesel Engine SCR Control: Current Development and Future Challenges

To meet increasingly stringent emission legislations, selective catalytic reduction (SCR) becomes an essential aftertreatment technique. This paper presents a comprehensive overview of the current development and future challenges of SCR control technologies. In this paper, SCR system hardware configurations are introduced, modeling and calibration of the SCR converter are provided, and current control strategies are summarized and reviewed. Finally, primary areas driving the future of SCR control research are discussed.

On-Machine Measurement System Implemented Based on Fanuc CNC System Using a Touch Trigger Probe

This paper aims to implement an OMM (on-machine measurement) system using a touch trigger probe installed on the spindle of the milling machine with Fanuc 0i-mc CNC system. The CNC used in the milling machine is Fanuc 0i-mc system. The hardware system configuration for OMM and its software were both presented. The software is composed of several modules, and the most significant one is for generating measurement program based on CAD model of workpiece. This paper mainly presents the specific construction of the measurement macro for Fanuc system.

Scalable Multi-Platform Distribution of Spatial 3D Contents

Virtual 3D city models provide powerful user interfaces for communication of 2D and 3D geoinformation. Providing high quality visualization of massive 3D geoinformation in a scalable, fast, and cost efficient manner is still a challenging task. Especially for mobile and web-based system environments, software and hardware configurations of target systems differ significantly. This makes it hard to provide fast, visually appealing renderings of 3D data throughout a variety of platforms and devices. Current mobile or web-based solutions for 3D visualization usually require raw 3D scene data such as triangle meshes together with textures delivered from server to client, what makes them strongly limited in terms of size and complexity of the models they can handle. This paper introduces a new approach for provisioning of massive, virtual 3D city models on different platforms namely web browsers, smartphones or tablets, by means of an interactive map assembled from artificial oblique image tiles. The key concept is to synthesize such images of a virtual 3D city model by a 3D rendering service in a preprocessing step. This service encapsulates model handling and 3D rendering techniques for high quality visualization of massive 3D models. By generating image tiles using this service, the 3D rendering process is shifted from the client side, which provides major advantages: (a) The complexity of the 3D city model data is decoupled from data transfer complexity (b) the implementation of client applications is simplified significantly as 3D rendering is encapsulated on server side (c) 3D city models can be easily deployed for and used by a large number of concurrent users, leading to a high degree of scalability of the overall approach. All core 3D rendering techniques are performed on a dedicated 3D rendering server, and thin-client applications can be compactly implemented for various devices and platforms.

Research and Development of Automatic Control System for High Precision Cold Strip Rolling Mill

The automatic control system is one of the most important parts of improve cold rolling strip precision and increase the automate level. The improved cold strip mill process control system has been developed and successfully applied to several new cold strip production lines. This paper introduces the Key Technical Features and New Technology of the system include the system architecture, hardware configuration and new control algorithms, etc. System operation and actual production proves that the system has the features of shorter commissioning time, convenient maintenance, high reliability, high automatic level and control precision.

Three-dimensional shape measurement with dual reference phase maps

Single reference-phase-based methods have been extensively utilized in digital fringe projection systems, yet they might not provide the maximum sensitivity given a hardware system configuration. This paper presents an innovative method to improve the measurement quality by utilizing two orthogonal phase maps. Specifically, two reference phase maps generated from horizontal and vertical (i.e., orthogonal) fringe patterns projected are combined into a vector reference phase map through a linear combination for depth extraction. The experiments have been conducted to verify the superiority of the proposed method over a conventional single reference-phase-based approach.

Описание аппаратных конфигураций гостевых систем в эмуляторе QEMU в виде отдельных текстовых файлов

QEMU is an open-source full system emulator based on the dynamic binary translation approach. QEMU emulates a complete hardware environment including CPUs, peripheral devices (VGA cards, network interfaces, IDE controllers, sound and USB components, and other). Guest system hardware configuration initialized at QEMU startup. During initialization phase QEMU creates virtual CPUs, peripheral devices and memory hierarchy. Hardware configuration is a part of QEMU source code. Being written in C language hardware configuration can be difficult to edit. Also, QEMU must be recompiled after any change in hardware configuration like addition of a new device. A method of the guest system hardware configuration description as an external file is discussed in this paper. JSON format was selected for configuration files. QEMU has parser for this format readily available because JSON is used by QEMU Monitor Protocol. Each file describes hardware configuration of one board. It consists of sequence of JSON objects. Each object describes properties one peripheral device, bus, CPU or memory segment. Each object has a unique ID associated with it and can reference other objects by their IDs. An arbitrary board configuration can be described with this format. The proposed method was implemented in QEMU and tested on ARM guest systems. The method is generic and can be applied to any board with any CPU architecture.

SCALABLE MULTI-PLATFORM DISTRIBUTION OF SPATIAL 3D CONTENTS

Abstract. Virtual 3D city models provide powerful user interfaces for communication of 2D and 3D geoinformation. Providing high quality visualization of massive 3D geoinformation in a scalable, fast, and cost efficient manner is still a challenging task. Especially for mobile and web-based system environments, software and hardware configurations of target systems differ significantly. This makes it hard to provide fast, visually appealing renderings of 3D data throughout a variety of platforms and devices. Current mobile or web-based solutions for 3D visualization usually require raw 3D scene data such as triangle meshes together with textures delivered from server to client, what makes them strongly limited in terms of size and complexity of the models they can handle. In this paper, we introduce a new approach for provisioning of massive, virtual 3D city models on different platforms namely web browsers, smartphones or tablets, by means of an interactive map assembled from artificial oblique image tiles. The key concept is to synthesize such images of a virtual 3D city model by a 3D rendering service in a preprocessing step. This service encapsulates model handling and 3D rendering techniques for high quality visualization of massive 3D models. By generating image tiles using this service, the 3D rendering process is shifted from the client side, which provides major advantages: (a) The complexity of the 3D city model data is decoupled from data transfer complexity (b) the implementation of client applications is simplified significantly as 3D rendering is encapsulated on server side (c) 3D city models can be easily deployed for and used by a large number of concurrent users, leading to a high degree of scalability of the overall approach. All core 3D rendering techniques are performed on a dedicated 3D rendering server, and thin-client applications can be compactly implemented for various devices and platforms.

Design of Intelligent Mouse Based on ARM

Intelligent Mouse is a micro-robot with special wisdom and it is a typical electro-mechanical integration system. This document has detailedly described the facture of mechanical structure, circuit design, software algorithm and other hardware system configurations. For the hardware, the control center of this mouse has used LM3S615 microcontroller which is based on the ARM® CortexTM-M3 v7M architecture developed by Luminary. This document also introduced that, the left/right-hand searching of the mouse, mapping, and calculation of the shortest path.

Research and Realization of Remote Monitoring System for Central Heating

In view of the central heating problems for remote, a realization scheme of remote monitoring system for central heating is presented. In this paper, the composition and functions of the heat supply network monitoring center, the heating station monitoring and control system and the wireless communication system are introduced, the control system hardware configuration is discussed. The system has already been used and run in a good effect.

A Linear Interpolation Fuzzy Controller for a Boiler Pressure Control System

Considering nonlinear behaviors and environmental disturbance of the boiler pressure control system, a linear interpolation fuzzy controller is developed. First, according to the conventional discrete fuzzy control principle, a discrete fuzzy controller for the system is designed and a 2-D fuzzy control lookup table is deduced. Then, to overcome the conventional fuzzy controller's disadvantage of lower precision caused by discretization, a bilinear interpolation 2-D table lookup method is used to replace the exact lookup method, with which continuous output can be obtained from the discrete control table. Finally, based on the existed computer control system and boiler system hardware configuration, hard-in-loop real-time simulation system is established in Matlab/RTWT. Lots of experiments are carried out. And the results prove that better control performance can be achieved with the proposed control scheme.

Parameter Measurement and Analysis System of Multi-Phase Electric Machine Using Labview-Based Virtual Instrument

This paper introduces an automatic parameter measurement and analysis system of multi-phase electric machines based on Labview, presents the system hardware configuration, designs the various measuring and analysis modules, discusses the algorithm including automatic measurement, data analysis and report generation and implements the multi-channel and high-performance parallel data acquisition. Compared with the old methods, it has many advantages such as more flexible software application, higher measuring accuracy and simpler hardware configuration.