Search
795 articles for “Data Types”
-
An Efficient RLT based Multinode Wireless Energy Charging in Sensor Networks
Abstract: The new generations of networks are sensor networks which typically consist of a large number of nodes that are connected wirelessly. The main idea of these types of networks is collecting data around the network's sensors. Since the sensors nodes work with the battery and there is no possibility to change or recharge these batteries, the life time of these networks depends on the sensors energy. However, multihop networks suffer …
Published in Recent Trends in Sensor Research & Technology · Vol. 3, Issue 2, 2016 · pp. 1–6 Read article
-
Review of Reliability and Availability Evaluation of MPPGCL Sirmour Hydropower Station using Markov Modelling
Abstract: AbstractWater is one of the best renewable energy sources available, as we are almost totally dependent on the availability of depleting fossil fuels. Being more reliable and cost effective, hydel energy is attracting more investors and entrepreneurs for investing and establishing hydro power plant. Since maintenance and operation of a power plant is very challenging and complicated process, calculating and analysing its compatibility and reliability is very important. This paper …
Published in Research & Reviews : Journal of Physics · Vol. 5, Issue 1, 2016 · pp. 30–37 Read article
-
Hybrid Deduplication for Secure Data Sharing Using Erasure Techniques and HIDC
Abstract: Data deduplication has an important role in reducing storage consumption to make it affordable to manage in today’s explosive data growth. To overcome the problems occurring in the cloud a system is proposed, in which History Aware Inline De-duplication algorithm for checking duplicity of data before uploading it on the server is used. MD5 algorithm is used to generate the hash value of the data. Also, erasure coding is used …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 3, 2017 · pp. 34–39 Read article
-
Deadlock Controlling Algorithms for Distributed Database Systems
Abstract: When the demand for a system resource exceeds the system's capacity, deadlock – an operating system problem – results. The problem of deadlock frequently causes a distributed database's performance to lag. This research critically examined two types of deadlock problems that have an impact on a distributed database's performance. Transaction control and transaction location deadlock difficulties were the specific challenges that the article specifically addressed. In this paper, deadlock prevention …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 2, 2023 · pp. 10–17 Read article
-
Disease Prediction for Heart using Data Mining Techniques and Decision Tree Classification
Abstract: Heart disease is a prominent cause of death worldwide, and many people are concerned about it. Early detection of heart disease becomes very crucial and has the potential to save many lives. However, detecting cardiovascular diseases such as heart attacks, coronary artery disease, and others of similar types is a critical challenge presented by routine clinical data analysis, even by using well known algorithms. We can’t risk lives of people …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 16–22 Read article
-
Pressure Data Analysis and Reservoir Parameter Estimation of Kailastilla Gas Field (Well No. KTL-01 and KTL-02)
Abstract: Well testing has been the subject of research for many decades. Well tests are performed in order to estimate reservoir properties. These estimations are needed to predict the amount of oil or gas that can be produced, and to determine a strategy how to produce this predicted amount. The current method to estimate the reservoir properties seems cumbersome and inefficient. Also, uncertainty regions of the estimated properties are not yet …
Published in Journal of Petroleum Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 92–102 Read article
-
Cyber Crime
Abstract: As we all know that Cybercrime has been one of the common practices made by the computer expert. In this paper I have mentioned some of the impact of the cybercrime. Cybercrime is that activities made by the people for destroying organization network stealing others valuable data, documents, hacking bank account and transferring money to their own and so on.My paper gives detailed information regarding cybercrime, its types, modes of …
Published in Recent Trends in Programming languages · Vol. 5, Issue 1, 2018 · pp. 24–29 Read article
-
Effect of Radiation Dose, Dose Rate and Annealing Temperature on Edible Potato Starch by Spectroscopic Methods
Abstract: Potato starch (PS) is a favorite food choice in different forms. During its storage and applications the PS is exposed to different radiations. In the present study the authors attempt to compare radiation effects (gamma and Electron beam of same radiation dose) in PS by Electron spin resonance (ESR) and Fourier transform infrared (FTIR) methods. ESR spectra of gamma irradiated PS appeared to have resolved shapes than the electron beam …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 198–209 Read article
-
The Role of Tobacco Consumption in Oral Cancer Incidence in Punjab and Haryana
Abstract: Background: Oral cancer is one of the most common types of cancer in India, especially in the northern regions, like the states of Punjab and Haryana, where the prevalence of tobacco consumption, smoking, and smokeless forms, is high. Nevertheless, the specific contribution of different types of tobacco and other risk factors related to oral cancer occurrence in these populations has been poorly investigated. The purpose of this investigation is to …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
-
Linear Programming for Profit Optimization in Small-Scale Manufacturing: A Python-Based Simplex and Machine Learning Approach
Abstract: Profit maximization under resource constraints is a classic challenge. Small manufacturers face tight margins and scarce capital every day. This paper tackles that problem using four Python-based methods. The case study is Bintang Bakery in Bandar Lampung, Indonesia. The bakery makes three bread types and faces 18 resource constraints. Data comes from Anggoro et al. Methods tested include LP revised simplex, Differential Evolution, PSO, and ANN Surrogate. General-purpose scipy minimizers …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 01–11 Read article
-
A Review: Electrical Impedance Tomography System and Its Application
Abstract: Nowadays, the objective of medical research is to improve the diagnostic tools and instruments such as to develop new assessment methods, non-invasive and long-term monitoring method. Currently, the non-invasive technique is used for during pregnancy and labor due to its standard clinical approach. Such as ultrasound and MCG, CTG is also used during pregnancy because of its sensitivity to the mother and fetal movement but it is not used during …
Published in Journal of Control & Instrumentation · Vol. 7, Issue 2, 2016 · pp. 14–22 Read article
-
Classification Of Music Genre Using Machine Learning
Abstract: Machine Learning is a way that helps the systems to automatically learn from experience and improve the performance and predict the outcome more accurately without any requirement of being explicitly programmed. Music is one of the most significant and influential part of people’s life. Also, music is known as a universal language as it has the power to unite people from different places and cultures. This helps in the recognition …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 1, 2022 · pp. 11–16 Read article
-
Design and Arduino Implementation of Artificial Neural Network Based Intelligent Power Management System of Bangladesh
Abstract: The research contrivance is to maintain and control load detachment or shedding in local distribution area and also utilize different types of power generation units such as conventional and non-conventional energy sources. The artificial neural network will anticipate, predict and exploit idea when generation is insufficient to meet the load demand. If the demand for the load is more than a generation, the artificial neural network will acknowledge the specific …
Published in Journal of Power Electronics and Power Systems · Vol. 7, Issue 3, 2017 · pp. 17–29 Read article
-
Practice and Preference of Tooth Notation Systems Among the General Dental Practitioners in Vadodara City
Abstract: Introduction: There are several different tooth notation systems used by dentists for associating data to a selected tooth. Several types amongst them can be named as Universal system, Bosworth system, Navy system, World dental federation system, Zsigmondy and Palmer system and Federation Dentaire Internationale (FDI). But there is no single tooth notation system used worldwide. All notation systems introduced up to now are used as per native wants and convenience. …
Published in Research and Reviews: A Journal of Dentistry · Vol. 13, Issue 3, 2022 · pp. 30–34 Read article
-
Performance Analysis of BEEM using Fuzzy Logic in Wireless Sensor Network
Abstract: Advances in wireless sensor network technology provides the availability of small and low-cost sensor nodes which has capability of sensing various types of physical and environmental conditions, data processing, and wireless communication. This sensing capability results in extremely large amount of application areas. However, the characteristics of wireless sensor networks require more effective method for data forwarding and processing. To upgrade the energy utilization, clustering is one of the prototypical …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 1, 2020 · pp. 31–38 Read article
-
Geospatial Analysis of Biomass in Lake Region of Kumaun Himalaya, Uttarakhand
Abstract: The present study includes vegetation and forest biomass mapping in the lake region of Kumaun, Uttarakhand, using IRS1C LISSIII satellite data. A total of 11 forest types including forest plantation were mapped, among various forest types analyzed, maximum area exhibited by Banj oak followed by Pine forest. Mean total above-ground biomass values were ranged between 52.1 and 402 t/ha. Mean crown cover and biomass values were computed for selected sites. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 2, Issue 3, 2013 · pp. 1–12 Read article
-
Patient Profile and Antimicrobial Susceptibility Testingin Clinical Isolates of Staphylococcus aureus
Abstract: INTRODUCTION: Staphylococcus aureus is a gram-positive bacterium capable of causing various infections, ranging from minor skin infections to serious bloodstream infections. The rise of methicillin-resistant S. aureus (MRSA) strains has made treating these infections more challenging, as MRSA is frequently resistant to several types of antibiotics.. OBJECTIVE: The aim of this study was to investigate the patient profile and antimicrobial susceptibility patterns of clinical isolates of S. aureus in a …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 2, 2024 · pp. 31–38 Read article
-
Evaluating the Efficiency of LLMs-SA (Sentiment Analysis) via Social Media Texts
Abstract: Sentiment analysis (SA) is becoming popular in business and scientific communities as the processing of natural language (NLP), computational linguistics, text analytics, image-based processing or video- based processing is used in extracting and mining subjective information in the web, social network, etc. It is able to detect positive, negative or neutral information and can be selected to absorb polarity, sentiments, urgency and goals of mount importance. The majority of the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
-
Fertilizer Prediction Using Machine Learning
Abstract: Fertilizer prediction is a critical aspect of modern agriculture, aimed at optimizing resource utilization while maximizing crop yields. In recent years, machine learning (ML) techniques have emerged as powerful tools for addressing this challenge by leveraging data-driven approaches to predict the optimal type and quantity of fertilizer required for different crops and soil conditions. This research paper provides a comprehensive review of the existing literature and methodologies employed in fertilizer …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 26–35 Read article
-
Capability Database of Injection Molding Process—Requirements Study for Wider Suitability and Higher Accuracy
Abstract: AbstractGenerally, there is little disagreement that an early consideration of dimensional accuracies achieved in production is conducive to the success of development of injection molding products. While different process capability databases (PCDBs) provide guidance for a meaningful estimation of the expected part variation, the adoption of corresponding guidelines and (proprietary) software tools seems to be, however, limited in industrial practice so far. This research paper addresses the gap between the …
Published in Journal of Polymer & Composites · Vol. 5, Issue 2, 2017 · pp. 18–28 Read article