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1211 articles for “well-being”
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An Improved Approach for Edge Detection of Noisy Images
Abstract: Edge detection of images is a very serious challenge to the researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, an innovative edge detection methodology is presented, that computes the edges of different images using the combination of Bergholm-Rothwell-Sobel-Prewitt edge detectors …
Published in International Journal of Distributed Computing and Technology · Vol. 2, Issue 1, 2016 · pp. 7–13 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 Review Based on Reactive Protocols in MANETs
Abstract: Mobile ad hoc network (MANETs) are networks which routing is based on multi-hop routing from a source to a destination node or nodes. These networks have quite many constraints because of uncertainty of radio interface and its limitations. For instance, in available bandwidth. There are various applicable protocols for ad hoc networks, but one confusing problem is the vast number of separate protocols. Each of these protocols is designed to …
Published in International Journal of Distributed Computing and Technology · Vol. 3, Issue 2, 2017 · pp. 1–13 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 Realtime Coronavirus Notifier
Abstract: Fresh corona virus deadly disease has not clinically confirmed vaccine or medicines. Its tolerant are improving through the help of antibiotic drug, anti-viral treatments, over and above vitamin C supplementation. It is currently apparent that the world necessities an expedient and speedier answer for contain and tackle the further spread of COVID-19 across the world with the guide of non-clinical advance for instance data mining schemes, improved aptitude furthermore extra …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 1, 2021 · pp. 22–25 Read article
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Analytical Survey of Functionality of IoT Enabled with Renewable Power Resources
Abstract: Termination of energy and power resources are inevitable. All kinds of power and energy resources are vulnerable and in very limited quantity of availability. So, the alternate solutions should be explored in due time to restrain the need of industrial as well as environmental demands. The applications of IoT in renewable energy production involve sensors that are attached to generation, transmission, and distribution equipment. These devices help companies to monitor …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 2, 2021 · pp. 33–38 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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Online Voting Using Blockchain
Abstract: Creating an online voting framework that fulfils the legitimate necessities of lawmakers has been really difficult task for quite a while. Blockchain technologies have been used to address all the issues underlying with electronic voting machines. It also provides the infinite number of applicants with the support to connect to the economic systems. The goal is to evaluate the use of blockchain as a service in voting systems and develop …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 1, 2022 · pp. 6–23 Read article
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A Review on Crypto coin price prediction
Abstract: Due to its advantages over the established banking system, cryptocurrencies have experienced a sharp increase in price inrecent years, which has had a positive impact on the economy. As cryptocurrencies are organized by blockchain technology, itinherits its properties such as Decentralization, Transparency, Immutability. In recent years, investors and stakeholdershave become increasingly interested in machine learning and AI-assisted trading. The effectiveness of machine learningtechniques in predicting the stock market leads one …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 1, 2022 · pp. 37–42 Read article
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Students' and Faculty Members' Attitudes Toward Science at Urban and Rural Colleges and Universities
Abstract: Identifying and cultivating a favourable attitude toward science among student instructors is critical. Instructors, student teachers, and students at all levels of education should be encouraged to have a positive attitude toward science. Currently, this is an urgent need. This study examines the attitudes of student instructors toward science in relation to their college's location. Students in Hyderabad's Revenue district are included in the study's sample of 1080. Data was …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 38–42 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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RDTP: Reliable Delay Time Protocol with Duty Cycle Optimization in 6LoWPAN-WBAN
Abstract: Medium access control (MAC) protocols based on the adaptive duty cycle and the IEEE 802.15.4 standard have recently been proposed to address the Quality of Service (QoS) requirements of wireless body area sensor networks. These QoS requirements include time-bound data transmission services, data rate, reliability, and energy consumption. Providing a comprehensive set of QoS is difficult with the present protocols, though. Furthermore, these protocols adjust duty cycle values by considering …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 2, 2023 · pp. 26–42 Read article
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Edge Detection of Gray-Scale Images Using P-S-B Methodology: A Novel Approach
Abstract: Abstract Edge detection of images is a very serious challenge to the image processing researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, a novel edge detection methodology is presented, that computes the edges of different images using the combination of …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 24–29 Read article
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Investigations of Diabetic Retinopathy Algorithms in Retinal Fundus Images
Abstract: Diabetic Retinopathy (DR) location is a point of high enthusiasm for therapeutic picture investigation since the examination of DR is essential for finding, treatment arranging and execution, and assessment of clinical results in ophthalmology. Programmed or self-loader DR location can bolster clinicians in playing out these undertakings. Diverse restorative imaging methods are at present utilized in clinical practice and a suitable decision of the identification calculation is required to manage …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 14–26 Read article
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Review Paper on Image Enhancement Using Various Methods
Abstract: Image enhancement methods were used to modify the images that were accepted as visual perception. Image enhancement methods mainly used for image contrast. Histogram compensation, used in the form of the cumulative distribution function (CDF), is one of the challenging factors in image processing. The goal of the enhancement is to improve the structural look of an image without impairing the input image. The enhancement techniques make it easier to …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 27–35 Read article
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Need of Face-Mask Detector Model to Tackle COVID-19 Situation in India
Abstract: The COVID - 19 epidemic is affecting everyone whether rich or poor, strong or weak. The use of a mask can surely aid in the control of the spread of the virus. This becomes even more important for a country like India where the total population is above 135+ crores and due to lockdowns and various other reasons, a huge percentage of the population has dipped below the poverty line …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 13–22 Read article
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Classification and Detection of Cabbage Leaf Diseases from Images Using Deep Learning Methods
Abstract: The presented work uses Deep learning methods to detect diseases in cabbage leaves. To avoid a reduction in agricultural product yield, disease diagnosis in plants is crucial. Manual plant disease monitoring is challenging and time-consuming at every stage. Five major types of diseases are considered. Initially, the input images are classified as healthy and diseased. Further, the diseased images are classified into five different varieties. Early and precise biotic stress …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 23–32 Read article
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Edge Detection of Images: An Analysis Using B-S-P Technique
Abstract: Abstract Edge detection of images is a very serious challenge to the researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, an innovative edge detection methodology is presented, that computes the edges of different images using the combination of Bergholm-Sobel-Prewitt edge …
Published in International Journal of Software Computing and Testing · Vol. 1, Issue 1, 2015 · pp. 21–26 Read article