scholarly journals Two-Vehicle Coordination System for Omnidirectional Transportation Based on Image Processing and Deviation Prediction

2021 ◽  
Author(s):  
Huajun Song ◽  
Yanqi Wu ◽  
Yuxing Wu ◽  
Guangbing Zhou ◽  
Chunbo Luo
Keyword(s):  
Image Processing ◽  
Manufacturing Industry ◽  
Cost Effective ◽  
Image Sensor ◽  
Mobile Platform ◽  
Normal Operation ◽  
Processing Unit ◽  
Mobile Platforms ◽  
Central Processing ◽  
Omnidirectional Mobile Platform

AbstractOmnidirectional mobile platform is essential due to its excellent mobility and versatility. With the development of the manufacturing industry, how to transport oversized or overweight goods has become a new problem. Compared with manufacturing omnidirectional mobile platforms with different specifications, it is more cost-effective and flexible to coordinate two non-physically connected omnidirectional platforms to transport overweight and oversized cargo. The roughness of the actual deployment environment and the mechanical deflection between the two vehicles have a significant impact on the normal operation of the system. This paper combines mechanical wheels, image processing algorithms and collaboration algorithms to create a novel and practical split-type omnidirectional mobile platform based on image deviation prediction for transporting oversized or overweighted goods. The proposed system collects raw measurements from a distance sensor and an image sensor, transmits them to a central processing unit through a wireless communication module and calculates and predicts the relative deflection between the two vehicles based on our derived mathematical model. This information is then fed to a Kalman filter and PID control algorithm to coordinate the two vehicles. The effectiveness and performance of our system have been thoroughly tested, which has already been applied in a bullet train production line.

Intelligent Surveillance and Image Transmission Based on Wireless Video Sensor Network

2012 ◽  
Vol 457-458 ◽  
pp. 690-695
Author(s):  
Cheng Bo Yu ◽  
Yu Xuan Liu ◽  
Yi Meng Zhang ◽  
Hong Bing Li
Keyword(s):  
Assisted Living ◽  
Image Transmission ◽  
Image Sensor ◽  
Wireless Channel ◽  
Sensor Nodes ◽  
Processing Unit ◽  
Wireless Video ◽  
Central Processing ◽  
Video Sensors ◽  
Video Sensor

Design and implement an energy-efficient smart camera mote architecture to be used as surveillance device for assisted living. Add the Passive Infrared Sensor (PIR) to WVSN, PIR detect the human or animal’s moving, then it triggers the camera to wake up. The image captured will be grayscale processing by the central processing unit. Camera sensor nodes transmit a grayscale image over wireless channel to master control station. It offers reduced complexity, response time, and power consumption over conventional solutions. By experimental results from the test illustrate that performance of the designed wireless image sensor is better than the exiting ones in the market in terms of received signal strength intensity (RSSI) and packet rate ratio (PRR) with respect to the distance. This scheme is less complicated than other wireless video sensor surveillance techniques, allowing resource-constrained video sensors to operate more reliably and longer.

A Practical Method for the Rational Design of Ship Structures

1980 ◽  
Vol 24 (02) ◽  
pp. 101-113 ◽  
Author(s):  
Owen F. Hughes ◽  
Farrokh Mistree ◽  
Vedran Žanic
Keyword(s):  
Optimum Design ◽  
Rational Design ◽  
Cost Effective ◽  
Practical Method ◽  
General Purpose ◽  
Processing Unit ◽  
Ship Structures ◽  
Finite Element Program ◽  
Central Processing ◽  
Element Program

A practical, rationally based method is presented for the automated optimum design of ship structures. The method required the development of (a) a rapid, design-oriented finite-element program for the analysis of ship structures; (b) a comprehensive mathematical model for the evaluation of the capability of the structure; and (c) a cost-effective optimization algorithm for the solution of a large, highly constrained, nonlinear redesign problem. These developments have been incorporated into a program called SHIPOPT. The efficiency and robustness of the method is illustrated by using it to determine the optimum design of a complete cargo hold of a general-purpose cargo ship. The overall dimensions and the design loads are the same as those used in the design of the very successful SD14 series of ships. The redesign problem contains 94 variables, a nonlinear objective function, and over 500 constraints of which approximately half are non-linear. Program SHIPOPT required approximately eight minutes of central processing unit time on a CDC CYBER 171 to determine the optimum design.

scholarly journals Ambient Light Rejection Integrated Circuit for Autonomous Adaptation on a Sub-retinal Prosthetic System

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5638
Author(s):  
Hosung Kang ◽  
Hojong Choi ◽  
Jungsuk Kim
Keyword(s):  
Image Processing ◽  
Light Intensity ◽  
Image Sensor ◽  
Experimental Results ◽  
Image Processing Technique ◽  
Cmos Process ◽  
Processing Unit ◽  
Ambient Light ◽  
Retinal Implants ◽  
Autonomous Adaptation

This paper introduces an ambient light rejection (ALR) circuit for the autonomous adaptation of a subretinal implant system. The sub-retinal implants, located beneath a bipolar cell layer, are known to have a significant advantage in spatial resolution by integrating more than a thousand pixels, compared to epi-retinal implants. However, challenges remain regarding current dispersion in high-density retinal implants, and ambient light induces pixel saturation. Thus, the technical issues of ambient light associated with a conventional image processing technique, which lead to high power consumption and area occupation, are still unresolved. Thus, it is necessary to develop a novel image-processing unit to handle ambient light, considering constraints related to power and area. In this paper, we present an ALR circuit as an image-processing unit for sub-retinal implants. We first introduced an ALR algorithm to reduce the ambient light in conventional retinal implants; next, we implemented the ALR algorithm as an application-specific integrated chip (ASIC). The ALR circuit was fabricated using a standard 0.35-μm CMOS process along with an image-sensor-based stimulator, a sensor pixel, and digital blocks. As experimental results, the ALR circuit occupies an area of 190 µm2, consumes a power of 3.2 mW and shows a maximum response time of 1.6 sec at a light intensity of 20,000 lux. The proposed ALR circuit also has a pixel loss rate of 0.3%. The experimental results show that the ALR circuit leads to a sensor pixel (SP) being autonomously adjusted, depending on the light intensity.

scholarly journals A Cost-Effective Solution to Improving the Electrical Performance of Metal Contacting Interfaces in IC System under Temperature-Humidity Environment

2019 ◽  
Vol 9 (19) ◽  
pp. 3950
Author(s):  
Li ◽  
Meng ◽  
Shi ◽  
Gao ◽  
Zhang ◽  
...  
Keyword(s):  
Contact Resistance ◽  
Integrated Circuit ◽  
System Reliability ◽  
Cost Effective ◽  
Electrical Performance ◽  
Processing Unit ◽  
Test Results ◽  
Effective Solution ◽  
Central Processing ◽  
Humidity Environment

Temperature-humidity (TH) induced failure mechanism (FM) of metal contacting interfaces in integrated circuit (IC) systems has played a significant role in system reliability issues. This paper focuses on central processing unit (CPU)/motherboard interfaces and studies several factors that are believed to have a great impact on TH performance. They include: Enabling load, surface finish quality, and contacting area. Test vehicles (TVs) of Clarkdale package and of Ibex peak motherboard were designed to measure low level contact resistance (LLCR) for catching any failure. Several sets of design of experiments (DOE) were conducted on 85°C/85% relative humidity and test results were analyzed. A proposal that correlates asperity spots and contact tip design with contact resistance was proposed and thus a cost-effective solution for improving electrical performance under TH was deduced. The proposal has proven to be reasonably effective in practice.

scholarly journals Image Processing and IoT Based Dynamic Traffic Management System

2020 ◽  
pp. 180-188
Author(s):  
Nitin N. Sakhare ◽  
Subhash B. Tatale ◽  
S.R. Sakhare ◽  
Hemant Dusaane ◽  
Mamta Puri ◽  
...  
Keyword(s):  
Image Processing ◽  
Internet Of Things ◽  
Waiting Time ◽  
Traffic Management ◽  
Management System ◽  
Processing Unit ◽  
Time Data ◽  
Central Processing ◽  
Emergency Situations ◽  
Traffic Management System

Due to rise in number of vehicles the traffic management has become a major problem. Manual traffic system is not efficient. This paper presents adaptive traffic management system using Internet of Things (IoT) and Image processing. The proposed system has capability to analyze real time data using image processing. Using cameras, different lanes are monitored constantly. The data obtained from different lanes are examined. Detection and counting of number of vehicles in each lane is done by using image processing. The count from each lane is sent to the central processing unit. According to the count of vehicles algorithm calculates waiting time for each lane, then the signal lights will be decided. This system reduces the average waiting time and increases the efficiency of traffic clearance. The system also reduces the pollution due CO2 emission and useful in emergency situations, thus being adaptive traffic management using Internet of Things (IoT).

Application of GPGPU to Accelerate CFD Simulation

2018 ◽  
Author(s):  
Shafiul A. Mintu ◽  
David Molyneux
Keyword(s):  
Cfd Simulation ◽  
Cost Benefit Analysis ◽  
Academic Research ◽  
Cost Effective ◽  
Surface Flow ◽  
Massively Parallel ◽  
Processing Unit ◽  
Regular Wave ◽  
Central Processing ◽  
Simulation Time

Computational Fluid Dynamics (CFD) is widely used in industry and academic research to investigate complex fluid flow. The bottleneck of a realistic CFD simulation is its long simulation time. The simulation time is generally reduced by massively parallel Central Processing Unit (CPU) clusters, which are very expensive. In this paper, it is shown that the CFD simulation can be accelerated significantly by a novel hardware called General Purpose Computing on Graphical Processing Units (GPGPU). GPGPU is a cost-effective computing cluster, which uses the Compute Unified Device Architecture (CUDA) of NVIDIA devices to transform the GPU into a massively parallel processor. The paper demonstrates the faster computing ability of GPU compared to a traditional multi-core CPU. Two scenarios are simulated; one is a 2-dimensional simulation of regular wave and another one is a 3-dimensional motion of a floating ship on a regular wave. A smoothed particle hydrodynamics (SPH) based CFD solver is used for simulating the complex free-surface flow. The performance of a single GPU is compared against a commonly used 16 core CPU. For a large simulation of 6 degrees of freedom (DOF) ship motion simulation, the comparative study exhibits a speedup of more than an order of magnitude, reducing simulation time from 30 hours to about 2 hours. This indicates a CUDA enabled GPU card can be used as a cost-effective computing tool for a reliable and accurate SPH-based CFD simulation. The cost-benefit analysis of GPU over a CPU cluster is also discussed.

scholarly journals CMOS Image Sensor with On-Chip Image Compression: A Review and Performance Analysis

2010 ◽  
Vol 2010 ◽  
pp. 1-17 ◽  
Author(s):  
Milin Zhang ◽  
Amine Bermak
Keyword(s):  
Image Processing ◽  
Performance Analysis ◽  
Image Compression ◽  
High Performance ◽  
Cmos Technology ◽  
Image Sensor ◽  
Processing Unit ◽  
Cmos Image Sensors ◽  
Design Paradigm ◽  
On Chip

Demand for high-resolution, low-power sensing devices with integrated image processing capabilities, especially compression capability, is increasing. CMOS technology enables the integration of image sensing and image processing, making it possible to improve the overall system performance. This paper reviews the current state of the art in CMOS image sensors featuring on-chip image compression. Firstly, typical sensing systems consisting of separate image-capturing unit and image-compression processing unit are reviewed, followed by systems that integrate focal-plane compression. The paper also provides a thorough review of a new design paradigm, in which image compression is performed during the image-capture phase prior to storage, referred to as compressive acquisition. High-performance sensor systems reported in recent years are also introduced. Performance analysis and comparison of the reported designs using different design paradigm are presented at the end.

History and Evolution of GPU Architecture

2016 ◽  
pp. 109-135
Author(s):  
Prashanta Kumar Das ◽  
Ganesh Chandra Deka
Keyword(s):  
Image Processing ◽  
Graphics Processing Unit ◽  
Hardware Architecture ◽  
Central Processing Unit ◽  
Processing Unit ◽  
3D Image ◽  
Central Processing ◽  
Graphics Processing ◽  
Graphics Engine ◽  
Gpu Architecture

The Graphics Processing Unit (GPU) is a specialized and highly parallel microprocessor designed to offload 2D/3D image from the Central Processing Unit (CPU) to expedite image processing. The modern GPU is not only a powerful graphics engine, but also a parallel programmable processor with high precision and powerful features. It is forcasted that by 2020, 48 Core GPU will be available while by 2030 GPU with 3000 core is likely to be available.This chapter describes the chronology of evolution of GPU hardware architecture and the future ahead.

scholarly journals Machine learning–based automated image processing for quality management in industrial Internet of Things

2019 ◽  
Vol 15 (10) ◽  
pp. 155014771988355 ◽  
Author(s):  
Nematullo Rahmatov ◽  
Anand Paul ◽  
Faisal Saeed ◽  
Won-Hwa Hong ◽  
HyunCheol Seo ◽  
...  
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Quality Control ◽  
Central Processing Unit ◽  
Processing Unit ◽  
Production Lines ◽  
Central Processing ◽  
Unit System ◽  
Industrial Internet ◽  
Automated Image Processing

The aim of this article is to automate quality control once a product, essentially a central processing unit system, is manufactured. Creating a model that helps in quality control, increases efficiency and speed of production by rejecting abnormal products automatically is vital. A widely used technology for this is to use industrial image processing that is based on the use of special cameras or imaging systems installed within the production line. In this article, we propose a highly efficient model to automate central processing unit system production lines in an industry such that images of the production lines are scanned and any abnormalities in their assembly are pointed out by the model and information about this is transferred to the system administrator via a cyber-physical cloud system network. A machine learning–based approach is used for proper classification. This model not only focuses on just the abnormalities but also helps in configuring the angles from which images of the production are taken, and our methods show 92% accuracy.

Design on Embedded Driving and Control System for Direct Current Servo Motor

2013 ◽  
Vol 433-435 ◽  
pp. 1307-1312 ◽  
Author(s):  
Cai Xia Wang ◽  
Xue Min Bai ◽  
Fen Dou Lv
Keyword(s):  
Control System ◽  
Direct Current ◽  
High Reliability ◽  
Image Sensor ◽  
Processing Unit ◽  
Servo Motor ◽  
Central Processing ◽  
Working Principle ◽  
And Control ◽  
Ccd Image

Analyzed working principle of servo control system and applications of direct current (i.e. DC) servo motor in the two-dimensional (i.e. 2D) digital control system, used embedded PC104 processor as the central processing unit, selected DC servo motor whose model was J320LYX04C as azimuth axis motor, and DC servo motor whose model was J215LYX03E as pitch axis motor, constituted the executive body for servo system, and designed a driving and control system which can control the two-dimension turntable rotating precisely in space and lead CCD image sensor to catch and track target. Tests show that the system positioning accuracy meet the given requirements and the system with high reliability runs smoothly in the real application.

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