Search
1976 articles for “ITS approach” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Child-Friendly Innovation: A New Era in Pediatric Drug Delivery Systems
Abstract: Pediatric formulations are becoming more and more popular as a result of advancements in pharmaceutical delivery technology. For young patients, there isn't a safe and effective drug delivery system in place. Since children's pharmacokinetics and pathophysiologic profiles differ from those of adults, it is imperative to design and develop an innovative and appropriate delivery system to provide accurate and dependable medicine administration to pediatric patients. Discussions will be held under …
Published in Trends in Drug Delivery · Vol. 13, Issue 2, 2026 · pp. 26–34 Read article
-
Adhesively Bonded Patch Repair in Polymer Composites: Effects of Reinforcement Configuration and Post-Cure Temperature
Abstract: Adhesive patch repair technique has been identified as an effective and economical approach to repair damaged polymer composite structures that are used in aerospace, automotive, marine, wind energy, and many other high-performance engineering applications. Adhesive bonding offers superior stress distribution, reduced stress concentration, less structural weight and fatigue resistance, and thus increases the lifetime of the repair of composite structures when compared to the traditional mechanical attachment approaches. Performance and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 991–1001 Read article
-
Power Estimation of MAC Block for Artix 7 FPGA using Regression Technique
Abstract: This paper presents the power estimation approach using suitable machine learning technique. Artix-7 FPGA has been chosen as target FPGA (Field Programmable Gate Arrays) platform for understanding the methodology of power estimation. There are various approaches of power estimation for FPGAs have been given in the literature viz. probabilistic, statistical, and LUT based etc. However, this paper discussed a supervised machine learning approach namely curve fitting and regression analysis. The …
Published in Journal of Microcontroller Engineering and Applications · Vol. 8, Issue 3, 2021 · pp. 27–37 Read article
-
Power and Congestion Control Analysis for MANET in NS3
Abstract: AbstractRouting to MANET is difficult due to the navigation feature. The main causes of connection failure are mobility, interference, and congestion. Mobility means that each node is free to move within its transport area. The interference is due to a collision and a hidden node. A hidden node means two nodes outside the radio frequency range of each one while trying to transmit data to an intermediate node located in …
Published in Journal of Microwave Engineering and Technologies · Vol. 6, Issue 3, 2019 · pp. 31–43 Read article
-
Determination of the Optimal Generation Location using Particle Swarm Optimization
Abstract: This paper presents an optimization approach to determine the optimal location for installing a new generator in which the technical, economic and environmental aspects are all taken into consideration. The location that yields the minimum fuel costs, emission and system loss is considered as the optimal generation location. The formulated objective function and its constraints compose an optimization problem, which is solved using particle swarm optimization (PSO). The proposed PSO-based …
Published in Journal of Power Electronics and Power Systems · Vol. 2, Issue 2, 2012 · pp. 34–44 Read article
-
A STUDY ON CUSTOMER PERCEPTION AND SATISFACTION TOWARDS ROYAL ENFIELD WITH SPECIAL REFERENCE TO SULTHAN BATHERY MUNICIPALITY
Abstract: The research statement is to make study on the “customer preference and satisfaction towards royal Enfield with special reference to Sulthan Bathery municipality” The statement of the problem is focused on understanding the customer preferences and satisfaction towards Royal Enfield motorcycles in the Sulthan Bathery Municipality area. It aims to investigate the factors that influence customers' purchasing decisions and their satisfaction levels with the brand. This study will provide insights …
Published in Journal of Production Research & Management · Vol. 13, Issue 1, 2023 · pp. 25–34 Read article
-
An Efficient RNS Based Sparse Kogge Stone Parallel Pre-fix Adder with Filter
Abstract: AbstractLow power very large-scale integration (VLSI) circuits are important for designing of high performance and portable devices. Along with that the high speed, small area and low cost are also the main considerations of VLSI circuits. The importance of low power is increasing day by day because of changing trend, packaging and cooling cost, portable system and reliability. This paper presents the design of Digital FIR filter using reverse converter …
Published in Journal of Semiconductor Devices and Circuits · Vol. 5, Issue 1, 2018 · pp. 43–51 Read article
-
An Overview of the Design and Optimization of Antennas Employing Machine Learning Algorithms and Methodologies
Abstract: This paper offers a comprehensive exploration of the integration of machine learning (ML) techniques in antenna design and optimization, reflecting the burgeoning interest and potential impact of ML in emerging technologies. The first segment conducts a detailed literature survey, elucidating conventional computational electromagnetic and numerical methods preceding an in-depth discussion on the core facets of ML, encompassing diverse learning categories and frameworks. Additionally, it provides a mathematical exposition on regression …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 1–12 Read article
-
A Comparison Study of Different Classification Algorithm on Brain Tumor Segmentation
Abstract: A brain tumor is a tissue mass caused by aberrant cell proliferation in the brain. It is a collection of tissues that causes hormonal alterations and eventually death. In order to save human lives, brain tumors prognosis and prevention is a difficult task. The use of modern medical image processing approaches has made the identification of brain tumors more flexible in recent years. Due to the absence of ionizing radiations, …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 3, 2021 · pp. 1–7 Read article
-
Innovative Risk Aperture Manipulation Model for Risk Management in Mega Project Construction
Abstract: The complexities associated with the technical, managerial and financial interventions in mega project implementation accommodates greater risks, encapsulating the complete project period from inception to closure. Consideration of risks in mega project scope is of paramount importance as it delineates either threat or opportunity in the guise of uncertainty at each and every phase of the project. The absence of innovative and rigorous risk management structure imparts a perplexing scenario …
Published in Trends in Transport Engineering and Applications · Vol. 2, Issue 1, 2015 · pp. 11–24 Read article
-
A New Framework for Optimal Hesitation Pattern Mining
Abstract: AbstractIn mathematical optimization, the firefly algorithm is a metaheuristic approach. It has been proposed by Xin-She Yang and inspired by the flashing behavior of fireflies. Proposed research used Firefly Algorithm for discovering the best Association rules. In this species, it is always the female who glows, and only the male has wings. In other species, Luciola lusitanica, both male and female firefly may emit light and both have wings. If …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 2, 2017 · pp. 34–41 Read article
-
A Survey on Deep Learning based Detection of Abnormal Human Behaviour using Computer Vision Human Activity Recognition System
Abstract: Abnormal Human activity recognition (Abnormal HAR) systems are very popular among researchers nowadays, they attempt to identify and analyze human activities using acquired information from sensors. Several papers have already been published in the abnormal HAR topics, the technologies in this field have multidisciplinary nature. They need constant updates. Our literature survey divided the approaches into three categories, the first one is about wearable sensor-based approach, the second one is …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 3, 2021 · pp. 32–41 Read article
-
Real-world Pothole Detection Using Image Processing and Deep Learning Convolutional Neural Network Model
Abstract: Potholes are a major problem of concern in many parts of the cities across the country. Road accidents are one of the causes that significantly affect humanity and result in damage to vehicles and road surface. Potholes are dangerous for pedestrians who walk along the road and vehicular traffic on busy roads. Road accidents are caused due to improper maintenance of roads, and it is imperative to attend to such …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 95–103 Read article
-
IoT-based Smart Transportation System for Passenger Comfort
Abstract: Industry 4.0 now includes a far wider range of topics, including smart transportation management, smart cities, and smart healthcare. It is important to emphasise that among Industry 4.0’s main objectives are innovation, the adoption of new business models, and the development of new revenue sources. Vehicle tracking data is vital in intelligent transportation systems (ITS) for both drivers and passengers who want to understand where they are to cross or …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 2, 2022 · pp. 28–35 Read article
-
Motors Using a Deep Learning-Based Torque Control with Torque Ripple Reduction under Nonlinear Magnetic Conditions
Abstract: This research discusses a deep learning strategy for torque management to minimize the effect of torque ripple in a nonlinear electric motor. Nonlinear electric motor losses may include: magnetic saturation, harmonic flux losses and inverter losses. In many cases when the system parameters deviate and/or instability issues occur, the traditional method with a model-based approach or PI control may encounter challenges. In this case, the authors proposed a hybrid approach …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
-
Comparing Graphical and Algebraic Methods in Solving Linear Programming Problems
Abstract: Linear Programming (LP) is a fundamental optimization technique widely employed across engineering, manufacturing, transportation, finance, healthcare, and other industrial sectors to support effective resource allocation and informed decision- making. Among the various solution techniques, the graphical and algebraic methods remain the two most fundamental approaches, each offering distinct advantages depending on the complexity and dimensionality of the optimization problem. This paper presents a comprehensive comparative study of these methods by …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 33–43 Read article
-
Semantic Summarizer
Abstract: Abstract: This work presents the survey of the existing approaches used for automatic text summarization. Automatic text summarization technique belongs to the natural language processing area, and is applied on the source document to produce its compact version that preserves its aggregate meaning and key concepts. On a broader scale, approaches for text summarization task are classified into two categories: (1) abstractive and (1) extractive. In abstractive summarization, main contents …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 1–8 Read article
-
A Review on Routing in Delay Tolerant Network
Abstract: DTN (Delay-Tolerant Networking) is a technique in PC system development that looks into the location, specialized matters in heterogeneous systems that may need consistent system integration. Delay-tolerant networking is possible only on the systems with colossal amounts of nearby stockpiling and internodes data transmission with respect to the expected activity. Use of DTN incorporates vehicular systems and sensor organizes in rural and rustic territories. This paper incorporates the diverse conventions, …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 3, 2015 · pp. 16–22 Read article
-
A Hybrid Image Codec Using Singular Value Decomposition and Adaptively Scanned Wavelet Difference Reduction Method
Abstract: AbstractIn this paper, a hybrid image codec for the gray scale images is proposed. It practices singular value decomposition (SVD) and adaptively scanned wavelet difference reduction (ASWDR) technique for compression. The proposed hybrid method retains the advantage of high peak signal to noise ratio (PSNR) value at a level of compression. The image is first compressed by SVD, which is a well-established approach to removing interpixel redundancies for reducing some …
Published in Journal of Open Source Developments · Vol. 4, Issue 1, 2017 · pp. 4–15 Read article
-
Pattern Discovery for Text Mining
Abstract: Text mining refers to the process of extracting interesting, non-trivial information and knowledge from unstructured text. The challenging issue is to find accurate cognition or characteristics in text documents to help users to find what they want. Many term-based methods solved this but later suffered from the problems of polysemy and synonymy where polysemy means a word has multiple meanings and synonymy is multiple words having the same meaning. Later …
Published in Journal of Web Engineering & Technology · Vol. 1, Issue 1, 2014 · pp. 28–31 Read article