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Keyword: AIAn Efficient Automotive Paint Defect Detection System
Vision-based defect detection techniques are widely used for quality control purposes. In this work, an efficient deflectometry based detection system is developed for semi-specular/painted surface defect detection. This system consists of a robotic arm that carries a screen/camera setup and can detect defects on large surfaces with different topologies, such as a car bumper, by…
Read MoreModeling of Grid-Connected Photovoltaic System Installation in Moroccan Ibn Tofail University
The main importance of solar photovoltaic energies research is to meet the many environmental demands of the energy challenge, to maximize power and to reduce the costs of photovoltaic (PV) systems to reply the energy needs of population. In the present research work, the first objective is to study the performance and the output energy…
Read MoreWalker Ergonomic Design for Visually Impaired Elderly
The study proposed a self-driven guidance walker through user-oriented integration design. The common two-wheel drive performs left and right turn. By reducing the weight of the walker body, the durability of the battery can be increased. Secondly, we use a foldable structure so that the walker can be conveniently stored in a small space. A…
Read MoreNoise Cancellation Algorithm Based on Air- and Bone-Conducted Speech Signals by Considering an Unscented Transformation Method
Noise control is essential when applying speech recognition in noisy environments such as factories. In this study, a signal processing for noise cancellation is proposed by using a noise-insensitive bone-conducted speech signal together with an air-conducted speech signal. The speech signal is generally expressed by a nonlinear model. The extended Kalman filter is very famous…
Read MoreA New Model of Supplier’s Selection for Sustainable Supply Chain Management
In the last years, industrial company began to understand the central role that plays sustainable supplier selection (SSS) process for obtaining a sustainable supply chain (SSC). This paper proposes a new multi-criterion decision-making (MCDM) model for managers, which makes it possible to select the best suppliers who respect the sustainable development (SD) concept for a…
Read MoreEducational Domain Management Knowledge Content Identification and Knowledge Updating Method, Based on Enterprise Management Information Interactions
The aim of this paper is to develop the educational domain management knowledge content identification and knowledge updating method, based on formal descriptions of enterprise management information interactions. This is very important because the progress of modern science leads to the emergence of new factual or conceptual knowledge. There is a need for proper methods…
Read MoreOver-The-Air Testing of Automotive Antennas and Wireless Links in The Installed State on The Basis of LTE Downlink Communication Parameters
Modern automobiles have been turning more and more into wireless sensor and communication networks. Accordingly, the number of radio systems is steadily increasing. Due to strict safety requirements, these radio systems need to be tested extensively for functionality and reliability, especially under poor radio channel conditions. Beside the large electrical size of cars at frequencies…
Read MoreRobot-Assisted Posture Emulation for Visually Impaired Children
This study proposes robot-assisted posture emulation for visually impaired children. The motor of a small robot (low torque) can be controlled using our palms. A user does not risk injury when the robotic hand is directly touched. The dimensions of the body of a commercially available small robot are different from those of a person.…
Read MoreOptimal Designs of Constrained Accelerated Life Testing Experiments for Proportional Hazards Models
This paper investigates the methods of optimal design construction for step-stress accelerated life testing (ALT) when a Cox’s hazards model is adopted with either a linear or a quadratic baseline hazard function. We discuss multiple step-stress plans for time-censored ALT experiments. The maximum likelihood method is utilized for estimating the model parameters. The information matrices…
Read MoreMorphological and Optoelectrical Characterization of Silicon Nanostructures for Photovoltaic Applications
Metal (silver)-Assisted Chemical Etching (MACE) method is used to fabricate silicon nanostructures like silicon nanowires (SiNWs) and silicon nanocones (SiNCs). The morphological characterization of fabricated SiNWs has shown that 5 minutes is the optimal time of silver deposition on silicon substrate. Silicon nanocones (SiNCs) were also fabricated by etching vertical SiNWs with a AgNO3=HF=H2O2 solution.…
Read MoreMRI images Enhancement and Brain Tumor Segmentation
Brain tumor is the abnormal growth of cancerous cells in Brain. The development of automated methods for segmenting brain tumors remains one of the most difficult tasks in medical data processing. Accurate segmentation can improve diagnosis, such as evaluating tumor volume. However, manual segmentation in magnetic resonance data is a laborious task. The main problem…
Read MoreA Novel Fair and Efficient Resource Allocation Scheduling Algorithm for Uplink in LTE-A
With the introduction of new services and new more sophisticated mobile devices the radio network operators are faced with new challanges to increase the system performance. The most recent standards introduced by 3GPP for the new architectures of the Long Term Evolution network address these issues and outline possibilities for optimizing network performance and user…
Read MoreActual Use and Continuous Use of Retail Mobile App: A Model Comparison Perspective
A mobile retail app is a growing innovation in a retailing setting and there is an argument on the prominent status of a mobile application in contrast with a mobile website and web applications. The study used quantitative data to run multiple regression analysis with keen attention to linear regression assumption and compare four models…
Read MoreGuidance Law Based on Line-of-Sight Rate Information Considering Uncertain Modeled Dynamics
Proportional navigation (PN) is a widely-used guidance law for missiletarget engagement. The goal of the missile intercept problem is to reduce the closest distance between the missile and target by diminishing the line-of-sight rate (LOS rate). In general, PN guidance law necessitates information of the LOS rate and missile velocity. The closing velocity (relative approaching…
Read Morecv4sensorhub – A Multi-Domain Framework for Semi-Automatic Image Processing
Although there are many research domains with very good software support and workflow automation, there are even more which do not have it: software development is too expensive to create domain specific applications for every research topic. This leaves many domain experts to work for example with general purpose image processing and statistics tools. Many…
Read MoreFuzzy Uncertainty Management in Multi-Shift Single-Vehicle Routing Problem
Our research deals with the single-vehicle routing problem (VRP) with multi-shift and fuzzy uncertainty. In such a problem, a company constantly uses one vehicle to serve demand over a scheduling period of different work shifts. Our issue relies on a routing problem in maintenance jobs, where a crew executes jobs in different sites. The crew…
Read MoreEconomic and Social Sustainability for Iraqi Middle Provinces
This research is part of a study concerned with building an integrated framework for development of sustainable urban planning in Iraqi provinces. Seven Iraqi middle provinces are covered in this study. The aim of the study is to determine, measure and evaluate economic and social sustainability in the Iraqi middle provinces. The stages to achieve…
Read MoreDevelopment and Testing of Intelligent Wheelchair Controller for Quadriplegic Patients
In this research paper, the development and evaluating of a smart controller for electrical powered wheelchairs are presented. The controller aimed to assist quadriplegic, paralyzed, and handicap patients who cannot use their hands to drive an electrical wheelchair by using a joystick controller. Two sub control units have been combined in one hybrid system to…
Read MoreAnalysis of Drain Current Transient Response of Gate Pulse Voltage in AlGaN / GaN High Electron Mobility Transistors
Recently, several studies focus on a GaN material system that exhibits a significant probability of use in power devices including wide-gap semiconductors. However, the GaN-HEMT is also a structure that easily leads to crystal defects in AlGaN and i-GaN heterojunction. The aim of the study involved investigating the cause of the current collapse in GaN-HEMT…
Read MoreDeveloping A Conceptual Framework of Product-Service System Management Toward Firms’ Sustainability for Indonesian Industrial Estate Firms
Industrial estate firms have important roles in national development through the industrial development. In the course of their life, industrial estate firms ought to follow the firm life cycle pattern. The common pattern shows that the period, in which the firm experiences profit increase, will be directly followed by consistent profit and profit decrease. Should…
Read MoreIt Takes Two to Tango: Merging Science and Creativity to Support Continued Innovation in the IoT Domain
The Internet of Things (IoT) is a new concept that has a great appeal for researchers, businesses and the ordinary tech user. It presents new possibilities of connection between devices and people and it stimulates our need and desire to interact, to exchange ideas and to communicate with the surrounding environment. This paper briefly explores…
Read MoreParametric Co-variance Assignment for a Class of Multivariable Stochastic Uncertain Systems: Output Feedback Stabilization Approach
This paper presents a novel parametric co-variance assignment strategy for multi-variable stochastic uncertain systems. Based upon the explicit parametric design and reduced-order closed-form co-variance model, the variances and co-variances of the system outputs can be assigned artificially using output feedback while the effect of the system uncertainties can be minimized by optimizing the free parameters.…
Read MoreExperimental Investigation of Human Gait Recognition Database using Wearable Sensors
In this research human gait database is collected using different possible methods such as Wearable sensors, Smartphone and Cameras. For a gait recognition accelerometer data from wearable shimmer modules and smartphone are used. Data from different sensors location is compared to know which sensor location have better recognition rate. Different walking scenarios like slow, normal…
Read MoreExtendable Board Game to Facilitate Learning in Supply Chain Management
Game-based learning has been introduced as an interactive tool to facilitate learning and training processes in various fields, including supply chain management (SCM). Most of these games are specifically designed to focus on certain scenarios and concepts. For example, the original beer distribution game focuses on a single product supply chain without considering capacity and…
Read MoreTheory Building of Quattro Bottom Line Approach for Sustainable Reverse Logistics from Government Perspective: The Indonesia Evidence
Reverse logistics activities are widely used application to preserve the environment in many developed countries from e-waste problem. Due to lack of public awareness in many emerging countries, implementation of reverse logistics program must be initiated by government. Besides that, reverse logistics practices often fail to balance among profit target achievement, the environmental conservation, and…
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