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1941 articles for “objects” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Color and Texture Features Based Object Recognition Using Machine Learning Methods
Abstract: Object recognition in images is a simple task for human but it is a complex and challenging task for machines due to different factors such as occlusion, lightening, object size, scaling etc. A Robust and automatic image processing system is thus critically required to make such a sampling approach practical. In this paper, we propose a method for classification of objects in images by incorporating global descriptors of the image …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 1–11 Read article
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Design and Development of an Under-actuated Mechanism for Grasping and Grabbing of Objects
Abstract: Abstract: An under-actuated mechanism is designed and developed for robotic hand application suitable for handling both regular and irregular shaped objects. The hand consists of three fingers and use two actuators to control 6 degree-of-freedoms (DOFs) and proves to be versatile for material handling in small to large scale application. A rotary actuator is used and grasping of object is done by actuating three fingers on a sliding base. In …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 2, 2014 · pp. 67–76 Read article
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Advanced OOP and New Syntax Patterns for Javascript
Abstract: We present OBJS, a new transpiler project featuring the implementation of typified variables and functions call management in Javascript, as well as several new operators and syntax patterns that could make coding more agile and versatile. The goal is to empower this language. According to this point of view, this transpiler aims at implementing Object Oriented Programming paradigms into Javascript. The author opines that this would be likely the best …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 3, 2022 · pp. 31–54 Read article
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Inspection of Objects using Computer Vision
Abstract: This study is motivated mainly by the need for more efficient and advanced techniques in an inspection of an object because accurate and timely information is needed for any industry to improve their quality and increase the production of goods. The objective of this study is to provide an inexpensive and comprehensive review of defect inspection techniques. Nowadays, new computer vision technologies and image processing technologies have been very important …
Published in Journal of Electronic Design Technology · Vol. 11, Issue 3, 2020 · pp. 6–16 Read article
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Multi Objective GAPSO Hybrid Algorithm for Optimal Location of Unified Power Flow Controller in Power System
Abstract: In the new era, sometimes, power systems work with heavily loaded lines resulting in higher power loss and higher voltage deviation which makes the system unstable. It is owing to continuous growing demand of electrical power. This paper elaborates a multi objective GAPSO hybrid algorithm to solve a multi objective optimization problem to find optimal location and size of unified power flow controller. The objective functions are used to minimize …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 2, 2016 · pp. 34–44 Read article
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A Review on FPGA Parallel Architecture for Object Detection
Abstract: The main purpose in the case of present paper is to summarize the different parallel architecture techniques implemented on FPGA by which we can fulfil our requirement of object detection in image processing system. In image processing, it is difficult to find high precision and real time performance even in most powerful CPU. The various parallel architecture techniques can help in to give better performance and achieve high precision. This …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 2, 2018 · pp. 42–48 Read article
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Active Vision Approach for Controlling Educational Robotic Arm with Autonomous Object Manipulation
Abstract: This research presents an autonomous robotic framework for academic, vocational and training purpose. The platform is centred on a six-degree-of-freedom (DOF) serial robotic arm. Two on-board cameras developed a computer vision system for detection and autonomous object/target manipulation placed randomly on a target surface and controlling an educational robotic arm (ERA) to pick it up and move it to a predefined destination. Force sensitive resistor (FSR) has been used as …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 3, 2014 · pp. 1–10 Read article
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Use of Vague Set Theory for Multiple Objectives Decision Making
Abstract: AbstractIn this paper, we goal to prolong the inspiration of classical soft expert sets to possibility vague soft expert sets through applying the theory of soft expert sets to the probability vague soft sets. The complement, union, intersection, AND/OR operations as well as some related ideas referring to this inspiration are defined. Since vague sets (VSs) can give more data than fuzzy sets, it is prevalent in mathematical analysis of …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 1, 2017 · pp. 1–6 Read article
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A Novel General Purpose GPU Computing Scheme for Automated Multi-Object Surveillance
Abstract: In this study we presented a Graphic Processing Unit (GPU) based computing scheme for the division of large computational jobs such as of computer vision for the minimal processing time to facilitate the tracking of multiple objects in real time. The system comprises of the two objectives i.e., to dynamically parallelize the jobs and to reduce the CPU (Central processing unit) to GPU communication time. This will facilitate the other …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 1, 2015 · pp. 1–5 Read article
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Object Oriented Programming
Abstract: OOP means Object Oriented Programming and is utilized as a part of distinctive dialects and C++ is one of them. What truly recognizes C++ from C is that C++ backings Object Oriented Programming. It is a standout amongst the most effective strategies and persuasive advancements ever utilized as a part of PC programming. Presently a-days, it has picked up a far reaching use. Like C++ numerous dialects bolster OOP like …
Published in Recent Trends in Programming languages · Vol. 2, Issue 3, 2015 · pp. 14–17 Read article
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Object and Classes
Abstract: TThis paper is present the most essential type or features of ‘C++’ is ‘class’. The idea of using this user defined data type i.e., class, is all about coming by structure used in ‘c’. In which the way of creating and an implement features. An ‘Object’ is defined two things i.e., ‘Fields’ and ‘Method’. Field referred data members, characteristics and method refer the action associated with a particular object. Let …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 5, Issue 3, 2015 · pp. 22–24 Read article
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Light Curve Analysis for Different Artificial Space Objects
Abstract: This research deals with the studying of the temporal variations of brightness “light curves” for different space objects. Mathematical expressions describing the light reflection from the satellite components have been established. The computations are applied to different space objects and artificial satellites with various geometries and altitudes. Data precise of artificial satellites are utilized to estimate the obtained results. Keywords: Analysis, brightness, reflection model, various satellite geometriesCite this ArticleAfaf M. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 1, 2019 · pp. 10–14 Read article
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Innovative Eyewear for the Visually Impaired
Abstract: Object detection systems are essential tools for identifying and locating objects within images or videos. When integrated into spectacles or wearable devices, these systems provide users with real-time information about objects present in their surroundings. This functionality serves diverse purposes, such as assisting visually impaired individuals in navigating their environment or offering augmented reality data to workers during tasks. Region-based Convolutional Neural Networks (RCNN) represent a prominent machine learning model …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
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Multi-Objective Optimization of Geopolymer Cement Block Parameters Using Bentonite and Fly Ash
Abstract: Presently, geopolymer blocks are being produced by using industrial by-products like fly ash. This study focuses on the development of geopolymer cement blocks using the composition of bentonite and fly ash. The specific objective is to examine and optimize the geopolymer cement block parameters using a novel composition. The oxide ratio, alkali activator ratio, and molarity are considered variables. In contrast, the responses are considered as flow table, fresh density, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 810–828 Read article
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Speed Measurement of Moving Object using Arduino
Abstract: This research paper presents the design, construction, and testing of a low-cost and reliable system for measuring the speed of moving objects using an Arduino micro controller. The project employs Infrared (IR) sensors as photo gates to detect the time taken by an object to travel between two fixed points, allowing the Arduino to calculate the speed using basic timing algorithms. The design provides an affordable and educational alternative to …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 1, 2026 · pp. 1–8 Read article
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Multi-Objective Particle Swarm Optimization based PID Tuning of Ball and Beam System
Abstract: Ball and beam system is an unstable and nonlinear system which is specially designed for understanding various control engineering problems. The proportional integral and derivative (PID) controller is mostly used to stabilize the ball on the beam. Initially, Skogestad internal model control (SIMC) tuning method is used to design the PID controller for stabilizing the ball at desired position on the beam. The parameters of PID controller decide the performance …
Published in Journal of Control & Instrumentation · Vol. 7, Issue 1, 2016 · pp. 35–40 Read article
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Multi Objective Optimization of Weld Bead Geometry Parameters of Pulsed Current Micro Plasma Arc Welded Inconel 625 Using Enhanced Non-dominated Sorting Genetic Algorithm
Abstract: Pulsed Current Plasma Arc Welding (PCPAW) is one of the most widely used welding processes in sheet metal manufacturing industry. In any fusion arc welding process, the weld bead geometry plays an important role in determining the mechanical properties of the weld and hence, quality of the weld. Moreover, the geometry of weld bead involves several simultaneously multiple quality characteristics such as front width, back width, front height and back …
Published in Journal of Materials & Metallurgical Engineering · Vol. 3, Issue 1, 2013 · pp. 17–24 Read article
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Multi-objective Reactive Power Planning based on MNSGA II
Abstract: Abstract This paper presents an application of modified NSGA-II (MNSGA-II) to reactive power planning (RPP) problem by minimizing the total cost (which consist of sum of annual energy cost and the installation cost of additional reactive power sources) and the load bus voltage deviations. Voltage stability index is considered as an additional constraint in order to include the system stability into account. Reference Pareto-front is generated using covariance matrix adopted. …
Published in Journal of Nuclear Engineering & Technology · Vol. 10, Issue 1, 2020 · pp. 37–45 Read article
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Attribute based Level Adaptive Thresholding Algorithm for Object Extraction
Abstract: Image processing plays a vital role in the computer vision because most of the scenarios require object extraction and recognition. In order to utilize these images for the procedural analysis of the environmental entities in computational means, it must be a noiseless one. However, the images are affected through noises caused by the various acquisition techniques and hence an effective technique for denoising and segmentation is necessary in Computational Tomography. …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 2, 2014 · pp. 13–17 Read article
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A Survey of Edge Detection and Object Segmentation from Contour based Soft Computing Approaches
Abstract: Soft computing approaches such as consisting of fuzzy logic, neural or evolutionary computation are the emerging field with the wide applications in edge detection and image segmentation. Such a process of partitioning the pixels regions of the digital images with boundary between two homogenous regions refers to the detection of edges. There was various approaches that have been implemented to achieve the same but their performance and its scope of …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 1, 2015 · pp. 16–20 Read article