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1967 articles for “Al 7075 + 7.5%SiC” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Optimization and Modelling of Process Parameters for Turning Operation on Cnc Lathe for ASTM A242 Type-2 Alloy Steel by Regression Analysis and Artificial Neural Network
Abstract: The purpose of this project is focussed on the modelling of cutting conditions to get the lowest surface roughness in turning ASTM A242 TYPE-2 ALLOYS STEEL by Artificial Neural Network and Regression Analysis method on the CNC lathe. The process of metal cutting has been well researched over the years; relatively small research has been carried out on the cutting of alloy of ASTM A242 grade materials. In this study, …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 2, 2015 · pp. 40–51 Read article
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Synthesis of Coupler Curve on Optimizing a Four-Bar Mechanism with Ternary Linkage Using Genetic Algorithm
Abstract: AbstractDesigning of an intricate shaped coupler curve requires assembling of complex synthesis process in relationship with the linkages of a mechanism. This work is an attempt to address curvilinear path synthesis problem on designing and optimizing a four-bar mechanism with ternary linkage whose coupler tip traces an in-demand curve with enhanced fitness level. Coupler-curve equations of the mechanism have been derived in relationship with the linkages; in the follow-up, a …
Published in Journal of Advancements in Robotics · Vol. 3, Issue 3, 2016 · pp. 9–22 Read article
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A Novel Software Cost Estimation Model Based on the Hybrid of Artificial Neural Network and Firefly Algorithm
Abstract: Software cost estimation is the prediction of software development effort and software development time required to develop a software project. Software cost estimation is a basic and important task for both successful execution of software development life cycle and its management interms of its cost & time. Accurate software cost estimation is considered to be a difficult task as the information about the software project to be developed at the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 38–45 Read article
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Comparative Analysis of algorithms for Credit Card Fraud Detection using Data Mining: A Review
Abstract: AbstractData mining is a technique to extract new useful information from existing dataset. It is used to predict various patterns from present dataset. It has a great application in the field of bank and finance. In today’s world, everything is being online, means online shopping, online banking and online payment. The problem faced by them is credit card fraud. In this, we use the data mining techniques such as classification, …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 2, 2019 · pp. 12–17 Read article
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Multispectral Image Denoising using Bi-Directional Recurrent Neural Network with DPCA Algorithm
Abstract: In practices, a Multispectral Images (MSI) image is always prone to corruption by various sources of noises while procuring the images. In this paper we implemented Decomposable Pixel Component Analysis (DPCA) algorithm with recurrent neural network (RNN) which effectively denoised the MSI images. The RNN enables shrinkage of non-reusable data points during DPCA execution and aid it to effectively transform spatial coordinate in a logical manner and reduces the time …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 1, 2015 · pp. 25–30 Read article
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Palm Recognition Using Hybrid Algorithm
Abstract: Biometric system is becoming more popular and increasingly important, since they provide more reliable and accurate means of identification. Now a days biometrics system is used almost everywhere for identification. In Japan, banks have used the palm vein authentication technology for customer identification since July 2004. In addition, Fujitsu has integrated the technology into the access control of electronic door lock systems. Their system has a false acceptance rate of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 3, 2015 · pp. 12–19 Read article
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The OTDOA Based Location Updating Algorithm for Fast D2D Connection Handovers
Abstract: This work includes the goal to develop a technique for efficient positioning of user equipment and implementation of connection handover for device to device (D2D) communication application. This D2D application, being addressed as Battery Deposit Service (BDS), is a utility for optimizing battery of smartphone by reducing energy consumed in communication over network. Addition of an energy efficient positioning & handover strategy for D2D connections will allow the system to …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 2, Issue 2, 2015 · pp. 24–34 Read article
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Optimal Sensor Placement in Structures Using Improved Adaptive Genetic Algorithm with Modified Modal Assurance Criteria for SHM Systems
Abstract: With the growth of advanced constructive engineering technology, more and more large-scale structures, such as buildings, towers, wharfs, and so many other structures have been built all over the world. Due to uncontrolled environment, these civil infrastructures may be damaged severely by the natural disasters and the man made changes around the environment. To avoid this, monitoring of structure is necessary and it is done with the help of structural …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 3, Issue 1, 2016 · pp. 30–37 Read article
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Performance Analysis of Cuckoo Search Algorithm for Feature Selection of Seeds
Abstract: A reduced number of features are achieved using cuckoo search algorithm. The accuracy has significantly increased even though the number of selected features has drastically reduced. The classification of paddy varieties is done using the selected features. The number of features has been reduced by fifty percent. The main goal was to use a bio-inspired algorithm for feature selection and this is done using the cuckoo search algorithm. The classification …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 71–78 Read article
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Text Summarization with KNN Algorithm by Table Similarity
Abstract: This paper proposes Text Summarization using K Nearest Neighbor Classification algorithm on the basis of table similarity. This is being proposed for blog summarization, so that the text summarization can be used for summarization of blogs. Today, summarized data is needed everywhere, so that people can get more information in less amount of time, and that can be given with the help of summarized blogs. This method is being used …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 1, 2020 · pp. 14–18 Read article
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Fake News Detection Using N-Gram Analysis and Machine Learning Algorithms
Abstract: Fake news is untrue information presented as news. Fake news easily spread than real news amongst social networking sites. Detection of fake news is an important emerging research area which is gaining popularity. The main challenge in fake news detection is limited availability of resources (datasets). This project work detects fake news using n-gram analysis and machine learning algorithms. Evaluation and comparison between two feature extraction technique namely Term Frequency …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 8, Issue 1, 2021 · pp. 33–43 Read article
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Finest Round Robin Scheduling Algorithm using Effective Time Quantum
Abstract: Scheduling is a most important task of operating-system function. Almost all computer resources are scheduled before use. CPU scheduling is the main task of multi -programmed operating systems. By switching the CPU among processes, the operating system can make the computer more effectively [1]. The CPU is one of the primary computer resources so its scheduling is central to operating-system design. In a simple computer system, the CPU then just …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 1, 2014 · pp. 4–8 Read article
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An Algorithm for Road Sign Detection and Recognition using HOG and SVM
Abstract: Recognizing traffic signs is a challenging problem; and it has captured the attention of the computer vision community for several decades. Essentially, traffic sign recognition is a multi-class classification problem that has become a real challenge for computer vision and machine learning techniques. We present a system which will detect the road sign with shape detection technique. Further recognition of road sign is carried out using Histogram Oriented Gradient and …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 1, 2015 · pp. 1–5 Read article
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Optimization of TSP using Genetic Algorithm
Abstract: Genetic Algorithm (GAs) is used to solve optimization problems. It is depended on the selection operator, crossover and mutation rates. In this paper Mendel operator and its laws with different crossover & mutation probabilities, is used to solve well known optimization problem, Traveling Salesmen Problem (TSP). We have shown that there are some drawbacks present when we solve TSP with GA.Keywords: Genetic algorithm, Mendel operator, Travelling Salesmen Problem Cite this …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 1, 2015 · pp. 20–24 Read article
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An Implementation of Maintaining Database and Generating Report using K-Means Algorithm
Abstract: This is a sponsored project from Electronics Testing and Development Center (ETDC), a government organization which works under Standardization Testing and Quality Certification (STQC), Government of India, and provides quality assurance services in the area of electronics and IT through countrywide network of laboratories and centers. Automation of testing and calibration of electronic instruments will assist ETDC in providing these services in a better way by generating report and maintaining …
Published in Journal of Web Engineering & Technology · Vol. 1, Issue 1, 2014 · pp. 19–23 Read article
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Improved Vision Based Algorithm for Deep Web Data Extraction
Abstract: Several systems and languages have been proposed for solving web-data management problems, but none of existing system addresses all the problems from a unified perspective. Most of the existing link analysis algorithms treat a web page as a single node in the web graph. However, in most cases, a web page contains multiple semantics and hence the web page might not be considered as the atomic node. New web content, …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 2, 2015 · pp. 28–37 Read article
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An Analysis on Feature Selection Method using Real Coded Genetic Algorithm (RCGA)
Abstract: The work presented in this thesis mainly focuses on the solving protein structure prediction (PSP) problem from machine learning models. The prediction of distance-to-native of protein structure is carried out using regression machine learning models with six physicochemical properties. The objective is to predict the distance to the native like structure in the absence of its true native state and report how far a structure is from its true native. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 1, 2018 · pp. 23–30 Read article
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Caching Proposal Based on Least Recently Used Algorithm and AVL Tree
Abstract: In proxy caching, the cache server gets the request for an object from a consumer. A cache is most likely saved in memory or on disk. A memory cache is in the main greater hastily to study from than a disk cache. The Least Recently Used (LRU) cache replacement calculation is a straightforward and by and large utilized plan. Proxy caching is a unique procedure to lower network traffic and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 2, 2018 · pp. 37–47 Read article
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A Survey of Online Learning Algorithm
Abstract: Online learning is an active research area, which emerges in the last decade and has been considered as a subset of machine learning. Although, there is limited advancements has been made due to its high processing environment ultimately delaying its real-time applicability. In this study, we studied the various techniques with which the online learning algorithms have been able to successfully embark the results over the World Wide Web. It …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 1, 2015 · pp. 6–9 Read article
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Solution of Solid Traveling Purchaser Problem Using Efficient Genetic Algorithm with Probabilistic Selection and Multi-Parent Crossover Technique
Abstract: In this paper, I design a NP-hard optimization problem and solve this problem by developing a nature-based multi-parent crossover in genetic algorithm (GA). Initially, taking a set of markets, a depot and some products for each of which a positive demand is specified. Purchaser can purchase each product from a subset of markets only a given quantity, less than or equal to the required one, can be purchased at a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 5, Issue 3, 2018 · pp. 20–26 Read article