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1275 articles for “Important”
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Assessment of Usage of Modelling and Simulation Software in Water Resource Engineering Management
Abstract: The use of software tools for modelling and simulation in the water sector is becoming increasingly important for sustainable water resource engineering management. This study X-rays the use of software for modelling and simulation in the water sector. Geospatial Data Abstraction Library (GDAL), Sea Surface Temperature (SST), Soil Water Assessment Tool (SWAT), Land Surface Analysis Satellite Applications Facility (LSA-SAF), data assimilation (DA), GIS, HEC-HMS, EPANET and many other software can …
Published in International Journal of Water Resources Engineering · Vol. 9, Issue 1, 2023 · pp. 11–20 Read article
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ASSESSING THE EFFICACY OF BIO-COAGULANTS IN WATER TREATMENT.
Abstract: The study was designed to investigate the efficacy of Bio-Coagulants in water treatment settling tanks using alum (the commercially available coagulant) as a control for comparison. One of the most important steps in the treatment of water is coagulation, which is utilized to react with organic materials in raw water and destabilize suspended particles. Coagulants, like alum, are frequently used because they lessen the repulsive force between particulate matter, promoting …
Published in International Journal of Water Resources Engineering · Vol. 9, Issue 2, 2023 · pp. 42–50 Read article
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Water Filtration Through Fly Ash, Sand and Charcol Filter
Abstract: This project focuses on the implementation of a sequential filtration system using fly ash, sand, and activated charcoal filter beds to treat contaminated quarry water and contaminated cleaning water from a rubber factory The goal is to diminish the concentrations of diverse contaminants found in the wastewater and enhance its overall qual The goal is to diminish the concentrations of diverse contaminants found in the wastewater and enhance its overall …
Published in International Journal of Water Resources Engineering · Vol. 9, Issue 2, 2023 · pp. 21–26 Read article
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Segmentation Refers to the Process of Partitioning a Digital Image into Multiple Regions
Abstract: Abstract Image segmentation is a very important tool in image processing and might function as Associate in Nursing economical face to classy algorithms and thereby alter subsequent process. A typical drawback in segmentation of a monochrome image happens once a picture contains a background of variable grey level like step by step ever-changing shades, regions or categories assume some broad vary of grey scales. This drawback is inherent since intensity …
Published in International Journal of Distributed Computing and Technology · Vol. 1, Issue 1, 2015 · pp. 25–33 Read article
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Socket Web-Server Technology
Abstract: The aim of the paper is to introduce sockets, how it can be implemented for network programming. An important role is played by Sockets in client server applications. The communication between the client and server takes place by writing to or reading from these sockets. Linux functions such as printing, connecting to databases, and serving web pages as well as network utilities for remote login and ftp for file transfer …
Published in International Journal of Distributed Computing and Technology · Vol. 2, Issue 2, 2016 · pp. 12–17 Read article
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A Design of Mobile Application for Food Waste Management (On the way towards Zero Food Wastage)
Abstract: Abstract— Food is the most important material on which humans survive. In this paper, a mobile food waste management application is developed to recommend waste food management referring on the Android Smart Phone. This application has been designed to provide food for the needy i.e. food for those in need if there is waste or excess of food in some place. Moreover, this application has been designed to store information …
Published in International Journal of Distributed Computing and Technology · Vol. 5, Issue 1, 2019 · pp. 21–26 Read article
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Trucks Overload Detector and Controlling
Abstract: Trucks going beyond the legal mass bounds upsurge the danger of traffic accidents and damages to the structure. They likewise result in out-of-line rivalry between transport modes and organizations. It is important to guarantee a truck compilation to weight guideline. New innovations are being created for increasingly productive overload screening and requirement. Motion is the new innovation which enables trucks to be said something the traffic stream, with no disturbance …
Published in International Journal of Distributed Computing and Technology · Vol. 5, Issue 1, 2019 · pp. 15–20 Read article
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Performance of Weibull Distribution Function on Prediction Based EH-CRN with Diverse Fusion
Abstract: Reduction of energy footprint and spectral underutilization are the two major challenges for communication technology. Energy harvesting (EH) enabled cooperative cognitive radio network (CRN) promises to address this pertinent issue and aspires to play the pivotal role in driving future wireless communication. The distribution function plays an important role on the performance of such model. In this paper, we introduced Weibull distribution function in characterizing the primary user activity and …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 1, 2020 · pp. 35–47 Read article
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Recommendation System: An Algebraic Perspective of Machine Learning with Knowledge Endorsement
Abstract: ABSTRACTLearning is continual process and machine learning is innovative approach towards information management as well as knowledge management. The endorsement of knowledge in association of big data is crucial task. The machine learning algorithm and technologies gives an insight towards better expansions and consolidation of knowledge. For optimization of knowledge recommendation system plays an important role and gives ground to produce solution. The role of recommendation system is basically one …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 2, 2020 · pp. 30–34 Read article
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A Review on Artificial Intelligence, Internet of Things and Wearable Technology for Smart Healthcare
Abstract: The healthcare industry is no longer an isolated area unaffected by technology advancements. Healthcare is driven by technology more than any other force, and it will continue to evolve in spectacular ways in the future. Artificial Intelligence, Internet of Things, Big Data, Cloud Computing, Smart Wearables, and other cutting-edge healthcare technologies have transformed traditional healthcare into smart healthcare. Technology has allowed us to keep a close eye on our health …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 1, 2021 · pp. 26–34 Read article
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AI for Social Networks: Applying Innovative Algorithm to Reach Mob
Abstract: The power of “Artificial Intelligence (AI)” can be applied to a number of platforms, including social media platforms like "Facebook" and "LinkedIn," which uses AI to understand human datasets in pools. Up to 3 billion people use social media around the world to create data in as many ways as possible. This is where AI comes in to manage the true value of vast data. In this virtual era of …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 2, 2021 · pp. 24–32 Read article
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Text Mining for Detecting the Viral Threats from the New Data Set
Abstract: There is a lot of information in daily life. The majority of countries have national government organizations that constantly monitor the media and news for new daises. Regarding the national population's health and the latest developments in health care. Local newspapers or electronic media from legitimate sources such as Sinclair Broadcasting or Tribune Media are searched by the national groups. As additional news sources were available on the internet, it …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 1, 2022 · pp. 1–5 Read article
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Sentimental Analysis on Movie Review Using Artificial Intelligence and Machine Learning
Abstract: A recent area of study with applications in many other fields is sentiment analysis. Sentimental analysis helps to classify a subject’s sentiments (e.g., positive, negative, or neutral) automatically towards a specific topic, product, news, or any movie. Machine learning is a powerful technique of artificial intelligence (AI) to control the increasing demand for accurate sentimental analysis. Online reviews, comments, and polls are used to collect a sizable amount of textual …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 43–50 Read article
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Genre Classification of Music Using Machine Learning
Abstract: One of the most important technological advances of the 21st century is artificial intelligence (AI) and machine learning. They are revolutionizing computers, banking, healthcare, agriculture, music and travel. A strong model has mastered many difficult learning tasks. Speech analysis is one area of artificial intelligence. This includes finding information about music, creating music, and categorizing music. Music data is one of the most complex source data available today. This is …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 17–28 Read article
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A Study on Raspberry Pi Method for Examining Personal Cloud Storage
Abstract: The guide explains ways to set up a personal cloud storage using a Raspberry Pi rather than using storage facilities from other companies like Dropbox, Google Drive, iCloud, and so on. In this dynamic environment and ever-changing technologies, security of our data is utmost important as well as the storage we need to store data and have control over our data. We focus on the matters mentioned above. The fact …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 26–35 Read article
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A Comprehensive Study of Application of Evolutionary Computing in Multi-stakeholder Recommendation Systems
Abstract: Recommender systems are customized data get to applications; they are universal in the present online condition, and compelling at finding things that address client issues and tastes. As the range of recommender systems has broadened, it has become clear that the resolute spotlight on the client regular to scholastic research has clouded other significant parts of suggestion results. Properties, for example, reasonableness, equalization, profitability, and correspondence are most certainly not …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 1–5 Read article
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Effective Use of Various Types of Software Testing and Its Applications to Bug Free Software
Abstract: The significance of software testing lies in its ability to minimize errors, streamline maintenance efforts, and reduce overall costs associated with software development. For now, about the full details of any software development, there is a concept of software development life cycle. It describes the stages of the software development. The software testing process is crucial for executing a program to discover errors and evaluate the characteristics of the software. …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 6–10 Read article
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A Comprehensive Survey on Optimizing Storage Models, Data Layouts, and System Catalogs
Abstract: This survey compares four papers that propose solutions for optimizing the storage model, data layout, and system catalogs in data management systems for hybrid workloads, which consist of both analytical and transactional queries. These solutions include a main memory hybrid storage engine that separates the storage of analytical and transactional data and uses a sophisticated query optimizer, a hands-free adaptive store that adjusts the storage layout based on access patterns, …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 2, 2023 · pp. 1–8 Read article
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Combination of Sobel-Rothwell-Bergholm Edge Detectors: An Experimental Measure for Edge Detection of Images
Abstract: Edges of an image can be considered as a type of important information which can be extracted by applying several edge detectors with different techniques. Edge detection is a fundamental and crucial subject in computer vision and image processing. In this paper, a novel edge detection technique which computes edges of different images using the combination of Sobel-Rothwell-Bergholm edge detectors is presented. This method can be considered as template for …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 22–27 Read article
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Computer-Assisted Automatic Segmentation/Detection of Multiple Sclerosis Lesions in Brain MR Images: A Review
Abstract: In humans, central nervous system (CNS) may suffer with demyelinating disease, named multiple sclerosis (MS), characterized by a wide scope of neurological deficits. Magnetic resonance imaging (MRI) is an important tool for MS diagnosis which enables the detection of location and size of the affected tissue. Research on this disease is has grabbed wide attention so as to improve the treatment plans by better understanding of causes and the disease …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 1, 2017 · pp. 17–24 Read article