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24 articles for “LDA”
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Lightweight Directory Access Protocol
Abstract: In today’s distributed computing environment, directories are required to locate resources. This paper describes the Lightweight Directory Access Protocol (LDAP), an open network protocol standard designed to provide access to distributed directories. LDAP provides a mechanism to query or modify information that exists in a directory information tree (DIT). Any combination of ADSI, the LDAP APIs, or a user searching the Active Directory through the User Interface (UI) results in …
Published in Journal of Advances in Shell Programming · Vol. 3, Issue 1, 2016 · pp. 1–11 Read article
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OCL Fault Injection-Based Detection & Prevention of LDAP Query Injection Vulnerabilities
Abstract: Security for web application is a prime concern today. Lightweight Directory Access Protocol (LDAP) is used in web applications for enforcing authentication. It may suffer from LDAP injection vulnerabilities and that leads to some security breaches such as login bypass and privilege escalation. This is because of poor implementation of LDAP applications. Here we propose a technique, OCL fault injection-based detection and prevention of LDAP injection vulnerabilities. Here the design …
Published in Journal Of Network security · Vol. 6, Issue 3, 2018 · pp. 5–8 Read article
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Study of Multistage LDAC System Aided Direct and Indirect Type of Dehumidifier with Solar Heating and Evaporative Cooling
Abstract: The aim of this paper is to study various studies done on multistage LDAC system. Some of the studies were based on a combination of multi-stage with VC systems to make it more effective. Some systems have an equal number of regenerator and dehumidifiers and some have only single regenerator between several dehumidifiers. Most of the systems have liquid desiccant type dehumidifiers but some use solid desiccant wheels for dehumidification. …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 15–20 Read article
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Improved Face Recognition Rate Based on PCA and LDA Using Image Preprocessing Techniques
Abstract: Principal component analysis (PCA) and linear discriminant analysis (LDA) are two powerful tools utilized for dimensionality reduction and feature extraction in most of pattern recognition applications. PCA selects features important for class representation while LDA algorithm selects features that are most effective for class separability. This paper carries out a comparative study of the two important algorithms in the context of enhancement obtained using certain image preprocessing techniques. The implementation …
Published in Journal of Instrumentation Technology & Innovations · Vol. 5, Issue 2, 2015 · pp. 19–24 Read article
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Face Recognition using LDA based Support Vector Machine
Abstract: AbstractRecognition of a person is an easy task for human brains. From different experiments, we have found that even one to three days old babies are able to distinguish between known faces. So, it is very difficult task for a computer to recognize an unknown human face although a computer has been trained with a huge set of human face. Now-a-days face recognition has received significant attention of researchers. Lots …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 2, 2014 · pp. 1–7 Read article
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Secure Interconnection of LDAP and DNSSEC PKI’s within Internet
Abstract: AbstractAfter decades of enlargement, net became a necessary tool helpful for professionals and personal people providing an outsized vary of services like emailing, management of bank accounts, reservation of hotels, train time schedules, real time traffic info, net search etc. If not targeted at the start, system security became quickly a key challenge for professionals and robust security solutions emerged on the market, primarily for professionals. Net security is therefore …
Published in Recent Trends in Programming languages · Vol. 3, Issue 3, 2016 · pp. 13–17 Read article
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A Novel Approach of Gait Recognition Using LDA, PAL and Neural Network Technique
Abstract: Gait recognition is one type of biometric technology that can be used to the monitor person without their any cooperation. Controlled atmospheres for example; military installations, banks and even airports required to be able to rapidly detect threats and give differing stages of access to various customer groups. Gait presents a specific way or moving manner on the foot and gait recognition is the recognizing procedure an individual through the …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 3, 2015 · pp. 27–35 Read article
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Support Vector Machine Based Supervised Machine Learning Algorithm for Finding ROC and LDA Region
Abstract: Breast Cancer is one of the most dangerous forms of conditions in the world, according to the Breast Cancer Institute (BCI). Breast cancer is a leading cause of death for women. Several empirical studies have explored the use of machine and predictive systems for breast cancer. Breast cancer can be the major cause of women’s death. Many claim their algorithms are faster, easier or more precise, as according to cancer. …
Published in Journal of Operating Systems Development & Trends · Vol. 7, Issue 1, 2020 · pp. 26–33 Read article
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Performance Analysis of Regenerator of Liquid Desiccant Air Conditioning System
Abstract: LDAC systems have been a keen topic of research in the area of dehumidification of air and various researchers and studies have shown that LDAC system is an economical and eco-friendly way for moisture removal as compared to conventional systems. Various researches have been done on dehumidifiers and regenerators in order to enhance their performances and to overcome problems like a carryover of desiccant in direct contact type ones. In …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 21–25 Read article
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Implementation of Loss Discrimination Algorithm Using Machine Learning Approach for Wireless TCP Enhancement
Abstract: AbstractIn wired network packet losses are due to network congestion whereas in wireless network, it can be due to variable bandwidth, network topology, host mobility, network error etc. Transmission Control Protocol (TCP) is used to handle wired and wireless network. This conventional TCP consider any loss as congestion loss whatever may be the reason behind loss and to control the loss it simply reduces the congestion window size (Cw) which …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 3, 2020 · pp. 35–38 Read article
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Weighted Latent Dirichlet Allocation, an Optimized and Generalized Probabilistic Topic Model
Abstract: In this study, we have introduced a new distribution named as Mixture Weighted Dirichlet Distribution (MWDD) which acts as generalization to other distributions viz. Dirichlet Distribution, Length or Size-Biased Dirichlet, Area Biased and Volume Biased Dirichlet distributions. Aim of this research is to introduce and implement MWDD for Probabilistic Topic Modeling of Corpus of textual data as an optimized as well as generalized probabilistic topic model. Various statistical and structural …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 18–31 Read article
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Smart Agriculture System using IoT: Farming in the Digital Age
Abstract: Smart agriculture using IoT is an emerging field that promises to revolutionize farming practices by providing real-time data on various agricultural parameters. In this paper, we propose a smart agriculture system using IoT that integrates various sensors and devices to collect and analyze data on soil moisture, temperature, humidity, crop growth, and other factors that affect crop yield and quality. The system also includes a mobile app that provides farmers …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 1, 2023 · pp. 15–20 Read article
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TCP Performance Analysis by Loss Differentiation Algorithm over Lossy Wireless Links
Abstract: TCP continues to be an important transport-layer communication protocol that is typically tuned to perform well in traditional wired networks, where bit error rate is low and congestion is the primary cause of packet loss. Wireless networks are prone to High BER, which is responsible for large number of packet losses. TCP incorrectly interprets these losses as signs of network congestion and throttles its transmission rate unnecessarily, which degrades end-to-end …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 3, 2015 · pp. 37–44 Read article
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Analysis of Public Sentiment Variations on Twitter Data Set
Abstract: AbstractLarge numbers of users share their opinions on social networking sites, making it a valuable platform for tracking and analyzing public sentiment. Twitter has become a valuable platform for public to share their opinion. It can be used for sentiment analysis. Such tracking and analysis can provide critical information for decision making in various domains. It has attracted attention in both academia and industry. Sentiment analysis is nothing but finding …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 2, 2017 · pp. 32–57 Read article
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Computer Aided Diagnosis of Breast Cancer using Machine Learning Techniques
Abstract: Breast cancer is one of the significant health problems that lead to early mortality in women, especially those between 40 and 55 years of age all over the world. In recent years, the number of breast cancer cases among women has risen significantly, making early and accurate diagnosis more important than ever. Computer-aided diagnostic (CAD) tools have become valuable in supporting radiologists by enhancing the precision of breast cancer detection. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 2, 2025 · pp. 1–11 Read article
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Dimensionality Reduction using Eigenfaces and Fisherfaces for Face Recognition Applications using Kernel LMS Algorithm
Abstract: AbstractFace recognition is an intricate numerical technology in computer systems that can support recognition of human faces using methods such as principal component analysis (PCA), linear discriminant analysis (LDA), etc. by comparing the given facial uniqueness with the already available face database. PCA and LDA are classical feature extraction and data representation techniques used in face recognition algorithm involving unsupervised statistical methods. The 2-D facial image can be transformed into …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 29–55 Read article
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A Survey on Face Recognition Techniques and Its Applications
Abstract: Face recognition has been a fast growing, and interesting area in real time applications. Automatic face recognition has shown great achievement for high-quality images under embarrassed conditions; for video-based recognition it is hard to achieve similar levels of performance. Human face detection and tracking of moving objects in the video are important tasks of the computer vision. Human and object frames are separated by implementing a face detection algorithm for …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 16–21 Read article
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Dimensionality Reduction Techniques and their Applications in Cancer Classification: A Comprehensive Review
Abstract: Dimensionality reduction techniques have become a vital tool in the investigation of high-dimensional data like gene expression profiles in cancer research. Here is a review, we deliver a comprehensive overview of dimensionality reduction techniques and their applications in cancer classification. Firstly, we introduce the concepts and approaches of dimensionality reduction, and after that, we explore several methods for decreasing dimensionality. These techniques include Linear Discriminant Analysis (LDA), Principal Component Analysis …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 2, 2023 · pp. 35–45 Read article
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A Machine Learning-based Analysis of Climate Change
Abstract: Climatic variations are a pressing global challenge that demands immediate and comprehensive attention. A wealth of articles has been published on climate change mitigation and adaptation, yet there remains a need for innovative methods to explore the complexities of climatic variations and to devise more efficient and effective strategies for adjustment and alleviation. With technological advancements, machine learning (ML) and deep learning (DL) approaches have derived significant popularity across various …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 1–10 Read article
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Density Functional Theory (DFT): Understanding and Quantifying Molecular Structure of 2-D Materials
Abstract: Density Functional Theory (DFT) has emerged as a cornerstone in computational chemistry and materials science, offering a powerful framework for predicting electronic structures and properties of atoms, molecules, and solids. By focusing on electron density rather than wave functions, DFT simplifies the many-body problem through approximations like the local density approximation (LDA) and generalized-gradient approximations (GGAs). The Hohenberg-Kohn theorems establish the theoretical foundation, proving that ground-state properties are uniquely determined …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 2, 2025 · pp. 33–40 Read article