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795 articles for “Data Types”
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Information Fusion Based IoT Semantic Data
Abstract: Today there are millions of heterogeneous devices around us which are attached with different types of sensors to collect real world data and to communicate with other devices. As a result, interoperable service-oriented technologies are required to share the real-world data among these heterogeneous devices to integrate and fuse these semantic data. To solve this problem, a frame-work for multi-source heterogeneous information fusion based on the information of semantic data …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 2, 2017 · pp. 29–34 Read article
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Assessing Workspaces of Office Buildings; A Case of Lagos Office Spatial Characteristics
Abstract: The spatial characteristics of an office space play a fundamental role in contributing to the performance of the employees who use the office space. An efficient and functional workspace should be designed to cater to the needs of employees as this is critical to their performance as well. Studies from various authors have shown that better results and outcomes are gotten from employees who are satisfied with their workspaces. Although …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 1, Issue 2, 2023 · pp. 17–30 Read article
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Face And Spoofing Detection Via Genetic Algorithm-Based Feature Selection with MTCNN
Abstract: Face detection and liveness detection in various environments such as different lighting effects, occlusion, complex backgrounds, and different poses and angles play an important role in facial recognition or detection purposes. In this research paper, propose an improved algorithm for face detection and liveness, spoofing detection via genetic algorithm for feature selection, and mtcc detecting the edge of the facial image by Canny filter and spotting the face from the …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 17–26 Read article
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Lightweight Models for Per-PC Energy Consumption Forecasting: Comparative Study with ML and DL Approaches
Abstract: We have collected primary data from automated logging of parameters like CPU utilization, estimated power, active or idle state, user logging activity, and the type of day. Additionally, survey data showed user awareness, energy-saving behaviour, and PC usage patterns. The data is pre-processed and merged by applying processes such as data cleaning, normalization, and feature extraction, i.e., determining the peak active timings and downtime. Developed lightweight prediction models based on …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 Read article
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Comprehensive Analysis of Malevolent Attacks and Security Challenges in Unauthorized Access to IoT Devices
Abstract: This study provides an in-depth exploration of malevolent attacks targeting Internet of Things (IoT) devices and the associated security issues stemming from unauthorized access. It presents a detailed examination of different types of attacks, including data theft, device malfunctions, and the dissemination of false results. The study also addresses the security concerns raised by unauthorized attacks and proposes effective solutions. Furthermore, it offers comprehensive insights into safeguarding IoT devices and …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 10, Issue 2, 2023 · pp. 30–38 Read article
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Simulation of Biomass Gasification in Downdraft Gasifier Using Aspen Plus
Abstract: Normal 0 false false false EN-US X-NONE X-NONE Generating electrical energy through biomass has advantages besides achieving self-sustainability. Biomass is particularly useful for agriculture dependent economy nations like India. Energy conversion systems based on biomass are particularly interesting because biomass utilization effectively closes the carbon cycle. A comprehensive process model is developed for biomass gasification in an atmospheric fixed bed rector using the ASPEN PLUS simulator. An original equilibrium gasification …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 4, Issue 2, 2013 · pp. 37–47 Read article
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Forest Change Monitoring of Ghatsila, Musabani and Dhalbhumgarh Block of East Singbhum District, Jharkhand State using Image Subtraction, Image Ratioing and SAM Classification Method
Abstract: Forests and biodiversity is the key of all life forms. The richer the forest, greater the opportunity for economic development and adaptive responses to the challenge of climate change induced disasters. The forest area of Jharkhand is rapidly destroyed due to unscientific mining, industry induced air pollutants and human encroachment in forest area. This heavy deforestation activity has changed the ecosystem and environment. Recent advancement in remote sensing technology has …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 1, 2015 · pp. 37–42 Read article
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Effect of Rank Based Correlation on K-Nearest Neighbour
Abstract: AbstractBecause of its simplicity, higher efficiency and effectiveness, K-nearest neighbour (KNN) isthe most popular and chosen algorithm in the last few years. It has many conveniences withthe exception of some inconvenience. In this study, we explore the correlation and dependencebetween attributes, and try to significantly improve the classification accuracy from existingalgorithm by skipping correlated attributes. To get classification accuracy, we applied thisskipping correlated attributes method in KNN ranking based classifier. …
Published in Current Trends in Information Technology · Vol. 7, Issue 2, 2017 · pp. 17–22 Read article
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An Improved K-means Clustering Algorithm for Classification of Odor/Gas Sensor Data Using Normalized Cosine Distance Parameter
Abstract: This paper presents a novel approach of K-means Clustering for classification of odors/gases (E-nose) using cosine distance as a distance parameter. A sensor array constituting five sensors is exposed to four different types of gases to extract data. The problem of classifying the data into respective classes in considered as a K-means Clustering task. To quantify the amount of similitude between the data corresponding to same classes; usually euclidean distance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 56–60 Read article
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A Correct and Simple Method of Writing PFC Codes
Abstract: Data compression (DC) is thriftiness in conveying information and is akin to précise that is, the goal is to convey the same or essential information using fewer resources. In electronic engineering, it occupies an important place because it reduces the size/amount of (i) memory required to store information just like précis reduces the size of an article; (ii) bandwidth required to transmit the information—just as less number of passengers means …
Published in Current Trends in Signal Processing · Vol. 4, Issue 3, 2014 · pp. 8–13 Read article
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Vegetation Analysis with Reference to Topographic Variables using Remote Sensing Data
Abstract: AbstractThe study was carried out in Kalsa Watershed, Uttarakhand, India to analyze the vegetation composition, topographic attributes and distribution of different vegetation types in relation to topography. Remote Sensing data of Indian satellite IRS 1D-LISS III sensor was used to map vegetation and land use. Survey of India (SOI) topographic map was used to generate the Digital Elevation Model (DEM). A total of 10 vegetation and land use classes were …
Published in Research & Reviews : Journal of Ecology · Vol. 3, Issue 1, 2014 · pp. 31–40 Read article
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Dimensions of Database
Abstract: A database is just an area used to store and manage data (of any kind of information). The database engine can sort, modify, or provide information in the database. The information itself can be stored in various ways. Before digital computers, card indexes, printed books, and other methods were used. There are different kinds of databases in the market and all of them serve their different needs which shall be …
Published in Journal of Open Source Developments · Vol. 8, Issue 2, 2021 · pp. 22–27 Read article
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Development and Characterization of Mucoadhesive Microspheres Containing a Model Antidiabetic Drug
Abstract: The present work was envisaged to reduce the dosing frequency and improve patient compliance by designing and evaluating sustained release mucoadhesive (SRM) microspheres of metformin hydrochloride (MH) for an effective control of diabetes type-2. Microspheres were prepared by emulsification solvent evaporation method using sodium alginate, carbopol 934P (CP), and sodium carboxy methyl cellulose (SCMC) as a mucoadhesive polymers. The microspheres exhibits good mucoadhesive properties and showed high drug entrapment efficiency. …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 2, Issue 2, 2015 · pp. 12–19 Read article
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NodeMCU in IoT-Based Weather forecasting and surveillance: A Review of Applications and Future
Abstract: A weather monitoring gadget uses various sensors to gather meteorological and environmental data.Two categories of weather monitoring exist. One which has inbuilt sensors, and the second type ofweather monitoring is where the data is extracted from the weather station servers. Because the weathervaries daily based on external factors, it is imperative to monitor the surrounding conditions. Thephysical and mental well-being of humans is greatly influenced by the weather. Thus, the …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 12, Issue 2, 2023 · pp. 13–20 Read article
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Introduction of Mathematical Method Use by Statistics
Abstract: In this review article is the first sequence of medical statistics guidelines that will be use such examples from the intensive care. This is a chance to become familiar with the information even while searching for abnormally high or low values, checking the assumptions of normality for analytical techniques, and selecting the most appropriate way to characterize the information if required. It describes and demonstrates the qualitative information and quantitative …
Published in Research & Reviews : Journal of Statistics · Vol. 11, Issue 1, 2022 · pp. 10–12 Read article
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Comparative Analysis of Neural Network and Linear Regression Applied to Black Friday Data
Abstract: AbstractIn this study, it compares two different types of neural networks. First is a single layer neural network and other is multiple hidden layer neural network. For just comparisons it is ensured that both uses the same activation and output functions and have the same number of nodes and parameters. The networks are trained by the gradient descent algorithm to approximate linear and quadratic functions and examine their convergence properties. …
Published in Current Trends in Signal Processing · Vol. 9, Issue 3, 2019 · pp. 1–4 Read article
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Sky Scanners: Using satellite remote sensing to figure out what Earth is like
Abstract: Satellite remote sensing has changed the way we look at, study, and learn about the Earth changing systems. Orbiting sensors take data from many different spectral bands, giving us constant, large-scale information about land, oceans, and the atmosphere. This study discusses the fundamental concepts of satellite remote sensing, including the various types of sensors, methods for data acquisition, and techniques for interpreting images. It talks about important uses like monitoring …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 22–33 Read article
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Comparison of Prescribing Pattern of Anti-hypertensive Drugs and the Level of Control Achieved in Type 2 Diabetes Patients between Primary and Tertiary Care Hospitals
Abstract: Hypertension is a common co-morbidity of diabetes affecting majority of people with diabetes, also a major risk factor for coronary vascular disease and microvascular complications such as retinopathy and nephropathy. To compare prescribing pattern of anti-hypertensive drugs and the level of control of hypertension achieved in type 2 diabetes patients in primary and tertiary care hospitals. Fifty patients each with type 2 diabetes and hypertension (fulfilling JNC 7 criteria for …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 4, Issue 2, 2014 · pp. 1–4 Read article
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Harvestify: ML Based Tool for Home Gardening and Farming
Abstract: This study presents a cutting-edge application that will transform home gardening and agriculture practices using machine learning (ML) approaches. The main goal is to provide data-driven insights to home gardeners and farmers, enabling them to implement efficient and sustainable farming practices. Crop disease detection, fertiliser recommendation, and a community section for user engagement comprise the three main elements that make up the system's architecture. The Crop Disease Detection module analyses …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 18–28 Read article
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Assessing the Effectiveness of Machine Learning Algorithms in Simulating Malware Detection Processes
Abstract: On the information system comprehends, computer virus attacks play a very important role and, by undermining regionally and globally, are considered one of the most critical threats. The traditional malware detection methods, more varied, being based on signature, are incapable of providing sufficient coverage over malicious programs in a short time. This is due to the speed of evolution and growing complexity of malware variants. This situation, in turn, requires …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 3, 2023 · pp. 11–20 Read article