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1933 articles for “UTI” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Retrieval of Secure Data Using One Time Password
Abstract: Characterization and taking care of the issue of viable and secure positioned catchphrase seek over scrambled cloud information. Positioned look significantly improves framework, ease of use by giving back the coordinating documents in a positioned request with respect to certain pertinence criteria (e.g., catchphrase recurrence), subsequently make one stage nearer towards down to earth organization of privacy-saving information, facilitating administrations in cloud computing. To enhance the security for the information …
Published in Recent Trends in Programming languages · Vol. 3, Issue 2, 2016 · pp. 19–24 Read article
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MapReduce Paradigm Using Large-Scale Ontologies
Abstract: AbstractWith the upcoming information downpour of semantic information, the quick development of ontology bases has acquired huge difficulties in performing proficient and adaptable thinking. Conventional incorporated thinking techniques are not adequate to process substantial ontologies. Disseminated thinking techniques are in this manner required to enhance the adaptability and execution of deductions. They propose an incremental and dispersed induction technique for substantial scale ontologies by utilizing MapReduce, which acknowledges elite thinking …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 2, 2017 · pp. 1–9 Read article
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Stock Price Prediction Using Data Science Techniques
Abstract: This study centers around persuasively presenting the potential to forecast the stability of future market stocks. Previous research has delved into predicting the trajectory of future market trends, leading to fluctuations in stock data, which opens avenues for refinement. The proposed model employs data science methodologies to predict the stock price index's value. This is achieved by contrasting supervised classification data science learning algorithms that predict either stock price increases …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 33–41 Read article
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Revolutionising Marketing: Leveraging Blockchain and AI for Impactful Management
Abstract: In today's rapidly evolving business landscape, marketing management faces numerous challenges, including effective decision-making, customer engagement, and data security. Advanced technologies like AI and Blockchain have revolutionized the marketing domain, providing novel solutions to address these challenges. AI plays an essential role in marketing management through its utilization of data analysis, predictive modelling, and automation, providing marketers with the ability to extract valuable insights from extensive data sources, facilitating data-informed …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 3, 2023 · pp. 26–33 Read article
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Review on Multiple Database Forensic Analysis with Internet of Things
Abstract: Database bad behavior scene assessment is a domain that utilizes database substance and metadata to uncover unsafe exercises on database structures in an Internet of Things condition. Notwithstanding the way that the chance of database genuine sciences has been around for a long time, evaluation of electronic awful conduct rehearsals and propelled breaks in an Internet of Things condition would profit by the movement of a common precise standard that …
Published in Journal of Advanced Database Management & Systems · Vol. 8, Issue 2, 2021 · pp. 13–16 Read article
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Water Distribution and Analysis of Drainage Clot
Abstract: In urban regions the water supply to home and business foundations are given at a fixed stream rate. There are episodes of abundance water drawn by specific clients by associating engine siphon sets to the waterlines which is considered as water burglary. This paper manages the mechanization in the water dispersion and the executives with specialized gadget. The dimension of the water will be detected by the water level sensor. …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 2, 2019 · pp. 38–43 Read article
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Diabetic Level Prediction in Humans: Using Supervised Machine Learning Methods
Abstract: Diabetes could be an unremitting malady or a metabolic sick wellbeing cluster where an individual endures from a pervasive sum of insulin-producing blood glucose within the body or since the cells of the body do not react to affront. Steady diabetes hyperglycemia is the damage to long term organs, particularly lungs, kidneys, nerves, the heart and the veins are connected to weakness and misfortune. The objective of this investigation is …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 1, 2020 · pp. 1–6 Read article
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Design and Analysis of Low Power, High Speed 64-Bit Alu Using Efficient Technique
Abstract: AbstractThe analysis of low power, high velocity a 64-cycle Arithmetic Logic Unit by effective methods Carry Look Ahead Technique utilizing VHDL language. The speed and zone of preparation boundaries are improved utilizing the convey look-forward strategy. It likewise lessens circuit intricacy. Number juggling rationale is a major structure square of the unit ALU. A convey look-forward joiner limits spread postponements by presenting more perplexing equipment. A convey look-ahead method improves …
Published in Recent Trends in Programming languages · Vol. 7, Issue 3, 2020 · pp. 1–7 Read article
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Extract Entity And Attributes From User Requirements by Applying On Natural Language Processing (NLP) Model.
Abstract: Automatic generation of entity and attributes from end user requirement reduces cost, time and complexity of software development process. The main aim of this research work is to transform user requirement to Natural Language Processing (NLP) for reducing the ambiguity, inconsistency and incompleteness, and finally extract entity and attributes. This study discusses some initial experiments which are encouraging further research to help in improving the software development process. It focuses …
Published in Recent Trends in Programming languages · Vol. 8, Issue 1, 2021 · pp. 9–15 Read article
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Color Detection Using Open CV-Python
Abstract: In this study, we will identify color of different mathematical figures in the example given paired pictures, utilizing Python 2.7, Open Source PC Vision Library (Open CV) and Numpy. Open Cv could be a computer vision library developed by Intel. It is a bunch of C capacities and a couple of C++ classes that carry out broad image cycle and PC vision calculations. Some of the basic image process capabilities …
Published in Recent Trends in Programming languages · Vol. 8, Issue 1, 2021 · pp. 1–8 Read article
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Comparative Study of Reinforcement Learning Algorithms on Traffic Light Control System
Abstract: With the changing times, the need of upgraded and efficient state-of-the-art traffic light control system is truly required. How well do various state-of-the-art algorithms handle complex real-life situations, more technically speaking, how well the reward function operates and minimizes the waiting time, is the prime question of the hour. Here we have successfully employed three reinforcement learning agents-REINFORCE, D3QN and DDPG each of which can independently handle large volumes of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 3, 2021 · pp. 33–45 Read article
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Weaponizing UNIX Shell Scripts by Cyber Adversaries and Mitigation Mechanisms: A Comprehensive Review
Abstract: The Unix-programming local area generally utilizes shell scripts as a straightforward method for executing numerous Linux orders inside a solitary record. Numerous clients do this as a component of an ordinary functional responsibility controlling documents, executing projects, and printing text. Nonetheless, as a shell translator is accessible in each UNIX machine, it is additionally an intriguing and dynamic device manhandled by pernicious entertainers. We have recently expounded on payloads conveyed …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 1, 2022 · pp. 15–19 Read article
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A Hybrid Steganography Approach for Data Hiding
Abstract: Steganography is the strategies for concealing an information or message inside another message or cover picture without attracting any suspect to the others and that he message must be identified by its expected beneficiary. In current terms, steganography is generally executed computationally, where cover works, for example, text records, pictures, sound documents, and video documents are changed so that a mysterious message can be inserted inside them. In this paper …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 3, 2021 · pp. 1–8 Read article
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Analyze the Linux Performance in Network Management
Abstract: Computational models utilized for experiments in high-energy physics are progressively becoming globally distributed and grid based. This shift is driven by both technical factors, such as the proximity of computing and data resources and increased demand, as well as strategic considerations, including investment strategies. This transformation poses unprecedented challenges for network infrastructure, end systems, and computing and storage solutions. Among the significant challenges is the reliable and efficient transfer of …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 2, 2023 · pp. 20–28 Read article
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Cyber Security in IoT Devices
Abstract: The Internet of Things (IoT) is an organization of embedded gadgets that are interestingly recognizable and have implanted programming needed to convey between the transient states. Web of Things (IoT) is utilized for giving network among various gadgets. It is a framework where protests that are inserted with a locator innovation acts with one more article through a remote correspondence medium to trade and move data without human association. These …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 9, Issue 2, 2022 · pp. 24–30 Read article
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Massive Data Capturing and Transmission using Big Data Analytics Model with Machine Learning Prediction
Abstract: Deep learning techniques are widely used in many branches of research and engineering, including language processing, image classification, and speech recognition. Similar to this, processing vast amounts of data is restricted by a number of classical data processing approaches. To deal with information progressively with incredible exactness and effectiveness, huge information investigation requests spic and span, complex calculations in light of machine and profound learning methods. Recent research has, however, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 3, 2022 · pp. 23–30 Read article
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A Mobile Application for the Adoption of Animals and Continuous Supervision
Abstract: India's animal population has increased significantly, from 7 million in 2006 to 10 million in 2018. Many people, however, find it difficult to care for pets, especially when they must go away for a few days or are unable to have pets for a variety of reasons. As a result, there have been several cases of pet adoption since some individuals love their pets but are unable to care for …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 10, Issue 1, 2023 · pp. 21–29 Read article
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Analysis of Color Theory
Abstract: This inventive venture has displayed a comprehensive diagram of the impacts that color hypothesis and color brain research have on showcased, particularly in case selecting a certain color plot run the show has an impact on buy aim. This venture delivered three thirty-second video notices that are all precisely indistinguishable, but each essentially actualizes a distinctive color conspire to run the show based on the same fundamental color. The three-color …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 2, 2022 · pp. 14–19 Read article
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Accelerating Cross-platform Development with Flutter Framework
Abstract: The need for businesses to spread the word about their wares to a larger audience has led to the rise in popularity of cross-platform mobile application development in recent years. Google created the open-source Flutter framework for creating mobile apps. It has rapidly replaced other options as the method of choice for developing high-quality, cross-platform software. Flutter's cross-platform compatibility across macOS, Linux, and Windows is only one of its many …
Published in Journal of Open Source Developments · Vol. 10, Issue 2, 2023 · pp. 1–11 Read article
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Detecting Vehicular Congestion Using Fog Computing
Abstract: Traffic congestion has become a major challenge for modern transportation systems, leading to increased travel time, fuel consumption and air pollution. To address this issue, Internet of Vehicles (IoV) has emerged as a promising technology for detecting traffic congestion in real-time. This study discusses a research investigation that explores the utilization of Fog Computing principles to detect traffic congestion. The proposed system utilizes sensors to capture traffic data and send …
Published in Journal of Open Source Developments · Vol. 10, Issue 2, 2023 · pp. 12–22 Read article