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901 articles for “challenges.”
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IoT Smart Waste Monitoring and Collection Framework
Abstract: Abstract - Solid waste management is one amongst the present challenges in urban areas and it's turning into a vital issue thanks to the fast increase in applicable solid waste management systems area population unit vital for up the setting and also the well-being of this paper, an Internet of Things(IoT) design for real-time residents. during waste watching and assortment has been proposed; able to improve and optimize solid waste …
Published in International Journal of Distributed Computing and Technology · Vol. 5, Issue 1, 2019 · pp. 27–32 Read article
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Dynamic Game Based CAPTCHA-A New Approach to Tackle Web Robots
Abstract: Abstract: "CAPTCHA" stands for Complete Automated Public Turning Test [1], is a security mechanism designed to differentiate between online bots and human. It is a challenged- response test for computing to determine whether the user is human or not. It is used to defend against the malicious bots programs. As use of Internet has been become vital issue and many web application facing a threat of web bots (Robots). Web …
Published in International Journal of Distributed Computing and Technology · Vol. 5, Issue 2, 2019 · pp. 1–7 Read article
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Energy Efficient Lighting System
Abstract: The energy is essential for the well-being of population, both economically and socially. The increasing demands of energy consumption worldwide require an increased use of energy resources, with adverse consequences for the environment. Solving problems related to lighting design is a major challenge for the 21st century. One of the main goals is to make cities more comfortable and safer, to which the lighting infrastructure plays a key role. It …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 1, 2020 · pp. 12–20 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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Analysis of Cloud-based System for best Performance by Data Centre
Abstract: Cloud Computing renders us a means by which one can access or lend the applications as utilities, over the Internet. It allows to construct, develop, configure, and personalize applications online. Cloud Computing is basically a lending system in which the investor or technically the service providers purchase the costly and expensive hardware which people couldn’t afford from the hardware creators and lends them and charges for hourly, monthly or you …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 2, 2021 · pp. 14–23 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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Cryptocurrency Analysis Using Python
Abstract: Investing in cryptocurrency is more popular these days than it has been in the previous few years. Since there are so many cryptocurrencies available, investing in them may be quite difficult. However, bitcoin is crucial and will not disappear or be limited to 100 years as some have prophesied. Transactions are quick, digital, secure, and international, enabling the maintenance of records without worrying about data theft. In fact, fraud is …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 1, 2022 · pp. 32–36 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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Enhancing Hearing Accessibility Through IoT: A Review of Smart Hearing Device
Abstract: The challenges faced by individuals with hearing impairments extend beyond the actual loss of hearing and highlight a broader issue of communication barriers. Traditionally, it is assumed that individuals with hearing impairments would struggle with lip-reading and speaking, and therefore, they would benefit from using sign language and attending specialized schools to communicate with others. However, leveraging cutting-edge voice-to-text recognition technology could significantly narrow the gap between the hearing and …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 11–17 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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Enhancement K-Mean Algorithm (EKM) for Image Processing in MATLAB
Abstract: In this paper, a new segmentation scheme for the white blood cells from microscopic images is proposed. This is based on the K-means clustering technique. The RGB test images are converted to the L*a*b color space, and then the two color machinery (a and b) are used as features to the K-means clustering algorithm. The success of image analysis depends on segmentation reliability. The accurate partition of the image into …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 10–13 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
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Intelligent Currency Counter cum Counterfeit Detection: A Survey
Abstract: Any developing country faces many challenges with respect to its economical stability. One such threat in cash transactions is fake notes. Due to advances in scanning and printing technologies the production of fake notes can be easily done. Manual detection of fake notes is time consuming and so is counting currency of different denomination in a bundle. This project focuses on building a device that accurately counts money and also …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 2, 2017 · pp. 34–40 Read article
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Face Recognition and Identification Using Computer Vision
Abstract: ABSTRACT In practice, identification of criminal in India is done through thumbprint identification. However, this type of identification has many constraints. Our face recognition poses to be able to detect face and recognize face automatically. Nowadays, face recognition systems use biometric for many security applications. This technique uses an image-based approach toward artificial intelligence by removing redundant data from face images through image compression using computer vision that compares a …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 6–10 Read article
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Arduino Based Smart Automatic Ration Distribution System Using Fingerprint Sensor
Abstract: Today’s ration distribution system faces several challenges and plenty of problems like non legal importing and corruption of products happens in the ration distribution centers in India. These controversies embrace irregular activity of the products, wrong entries within the manual stock register. Alternative times the particular product provided by the government for the distribution does not reach the common people. In our project, we have got replaced the manual work …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 2, 2019 · pp. 7–13 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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Recognition and Detection of Content in Video Using OpenCV
Abstract: The emergence and continued reliance on the Internet and related technologies has resulted in massive amounts of data that can be analysed. Humans, on the other hand, do not have the cognitive abilities to comprehend such vast amounts of data. Machine learning (ML) is a mechanism that enables humans to process large amounts of data, gain insights into the data's behaviour, and make more informed decisions based on the analysis's …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 42–47 Read article
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Review on Sign Language Detection Using Action Detection
Abstract: The development of sign language as a means of communication for those with hearing loss has been a significant step. Sign language is always needed for communication as not everyone understands how to translate signs. Without an interpreter, it is challenging to communicate. The hand shape, motion profile, and positioning of the hand, face, and other body components vary amongst signs in a particular sign language. Therefore, visual sign language …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 1, 2022 · pp. 20–26 Read article
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Deep Learning in Medical Image Classification and Object Detection: A Survey
Abstract: Deep learning methods have demonstrated superior performance in the area of computer vision, speech recognition, natural language processing, healthcare, and many more. Convolutional neural networks (CNNs) are a class of deep learning methods that have the ability to learn from raw data available as images, audio, or text. CNNs have become a powerful tool for variety of pattern recognition tasks due to the availability of abundant data and GPU-based training. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 1–15 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