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1648 articles for “Real Time”
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Short-Term Load Demand Forecasting using Chaos Theory and ANFIS
Abstract: In the electrical power sector, forecasting of load demand is an important process for effective planning of future expansion and periodical operations including unit commitments, fuel scheduling, short-term maintenance, security assessments, reducing spinning reserve, reliability analysis etc. Accurate load predictions are also necessary to utilize the electrical energy efficiently and to minimize the conflicts between the demand and supply of electricity. As electric load pattern of a region is very …
Published in Trends in Electrical Engineering · Vol. 6, Issue 2, 2016 · pp. 50–57 Read article
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Design and Implementation of Automatic Flame Detection and Tracking
Abstract: Fire accidents pose important risks to life, property, and the environment, making early detection and fast suppression vital. This paper presents the design and application of an automatic flame detection and suppression system using Arduino Uno. The system uses flame devices to notice the presence and direction of flame, while the Arduino Uno processes the sensor data to control engines for sensor site and water pumping. The design joins two …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 7–14 Read article
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Performance Evaluation of Lithium-Ion Batteries Considering State of Charge and State of Health for Electric Vehicle Applications
Abstract: This study aims to compare temperature-regulated and uncontrolled charging methodologies to determine the most effective approach for optimizing battery performance while minimizing charging duration. The study assesses both constant current (CC) and temperature-controlled pulse charging (TRPC) methods. The battery temperature increases in direct proportion to the applied current during CC charging and cannot be controlled in the absence of external cooling systems. Key performance measures, such as the effect on …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 3, 2025 · pp. 32–47 Read article
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Dental and Oral Health Challenges in Patients with Eating Disorders: An Updated Review
Abstract: Eating disorders are complicated psychiatric disorders with profound systemic and oral health implications that are often not identified in clinical practice. Dietary restriction, binge eating, and self-induced vomiting are disorders eating behavior that negatively impact the oral cavity via nutritional deficiency, exposure to acid, malfunction of salivary activities, and changes in immune and microbial. These processes lead to a wide spectrum of oral and dental effects such as dental erosion, …
Published in Research and Reviews: A Journal of Dentistry · Vol. 17, Issue 1, 2026 · pp. 25–34 Read article
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Array-Linked Data Structure: Introducing a Hybrid Model of Memory Management and Faster and Easier Insertion and Reallocation Procedures
Abstract: Here, I have introduced a new data structure titled “Array-Linked Data Structure”. It incorporates a hybrid model of memory allocation, introducing a new insertion procedure in an existing data structure which is faster than that for arrays. It also offers O(c) access time where c is a constant. The access time is worse than O(1) for an array but still better than that for a linked list since the index …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 1–11 Read article
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A Threshold-Weighted Mathematical Fusion Model for Epidemic Outbreak Prediction Using SEIR Residual Dynamics and Cloud-Based Machine Learning
Abstract: Accurate prediction of epidemic outbreaks is critical for effective public health management, resource planning, early warning generation, and timely intervention by municipal authorities. Traditional compartmental models such as Susceptible–Exposed–Infectious–Recovered (SEIR) offer valuable epidemiological insights and mathematical interpretability; however, they may not adequately capture the complex nonlinear relationships present in real-world urban health systems. Conversely, data-driven machine learning techniques can identify hidden patterns in large datasets but often lack epidemiological structure …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 12–19 Read article
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Advancements in Reinforcement Learning: A Comprehensive Analysis of Algorithms, Applications, and Future Directions in Artificial Intelligence
Abstract: This work provides an overview of Reinforcement Learning (RL), an important field of artificial intelligence (AI) aims to provide the long-term benefits by learning a relating with a given environment. It spells out everything, what agents and environments do, to how rewards, states, and behaviours. It spent lot of time on looking the most usable RL algorithms, like DQN, SARSA, and Q-Learning. These studies provide a clear view of RL. …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 1, 2024 · pp. 17–22 Read article
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Reducing the Bullwhip Effect in a Supply Chain using Artificial Intelligence Technique
Abstract: The bullwhip effect in a supply chain leads to various inefficiencies like excessive inventory, quality problems, higher raw material costs, and poor customer service, which can be reduced by coordination and collaboration among partners of a supply chain with time bound information sharing; it requires full integration. However, full integration of the organizations of a supply chain is not possible in real case scenario due to existing differences of functions, …
Published in Journal of Production Research & Management · Vol. 4, Issue 2, 2014 · pp. 31–42 Read article
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Mathematical Modelling and Comprehensive Review on the Application of Evolutionary Strategies in Design Optimization of Shell and Tube Heat Exchangers
Abstract: This review article presents the application of different evolutionary algorithms which have been utilized for design and optimization of shell and tube heat exchangers in the last decade. The traditional trial and error design approaches can be replaced by such evolutionary algorithms. These evolutionary techniques do not need information of derivatives and hence it can be implemented in various heat exchangers geometry without much complication. Many such EA’s are successfully …
Published in Trends in Mechanical Engineering & Technology · Vol. 7, Issue 3, 2017 · pp. 67–78 Read article
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Need for an Integrated Modelling Approach for Mixed Traffic Flow Phenomena
Abstract: Traffic flow modelling can be in general categorised into three broad categories.Macroscopic models are generally based on aggregate level of traffic flow; whereasmicroscopic tools are more disaggregated and dynamic in nature. Benefiting from thesteadily increasing availability of affordable computing power, these more detailedmodels have become the tool of choice for operational studies, commonly in the form ofmicroscopic simulators. Among other dynamic models, mesoscopic ones are acompromise between the macro and …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 1, 2014 · pp. 20–26 Read article
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Optimal Generation Rescheduling for Congestion Mitigation using New Variant of Derivative Free Optimization Method
Abstract: Proposed work describes the process of rescheduling active power generation to alleviate transmission congestion in a most economic manner considering all the system constraints. Most severe line outage has been considered as the congested line using LODF factor. The concept of GSF has been used for selection of generators to be rescheduled for congestion management. Time-Varying Acceleration Constant-Time-Varying Inertia Weight Particle Swarm Optimization (TVAC-TVIW PSO) based optimization algorithm has been …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 2, 2018 · pp. 58–64 Read article
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REALIZATION OF SUSTAINABLE CIVIL INFRASTRUCTURES THROUGH EFFECTIVE PROJECT MANAGEMENT IN A CHALLENGING ECONOMY
Abstract: Infrastructure and effective project management is a great challenge facing sustainable development of infrastructure in Third World Cities and Civil Engineers have a lot of roles to play in sustainable infrastructural development in a challenging economy. This paper examines ways of realizing sustainable infrastructures through project management and civil engineering practice. Secondary data from works of literature and notable information from engineers were utilized. Project management is very essential for …
Published in Journal of Construction Engineering, Technology & Management · Vol. 12, Issue 3, 2022 · pp. 1–10 Read article
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Recent Development in Yoga: A Scientific Perspective
Abstract: In ancient Indian medicinal system, yoga practice is described as the link between the individual and the universe. Yoga and meditation can play an important role in our life because these help in controlling the function of our mind i.e. ego, desire and intellect. Yoga is a well-known physical, mental and spiritual practice since the ancient time and still benefitting people globally. It helps in the expansion from narrow egoistic …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 5, Issue 1, 2016 · pp. 14–20 Read article
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Role of Radiation Therapy in the Management of Mycosis Fungoides
Abstract: Cutaneous T-cell lymphoma (CTCL) consists of spectrum of diseases of which Mycosis Fungoides and Sézary's syndrome are most common. Mycosis Fungoides (MF) is a low-grade, chronic lymphoproliferative disorder affecting skin caused by abnormal proliferation of CD4 + T-cells. The incidence of MF is showing an increasing trend all over the world. Also, it is seen twice as often in males as in females (2:1) and mostly it occurs after fourth …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 1, Issue 1, 2012 · pp. 6–15 Read article
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Unoccupied Floor Extraction in Autonomous Mobile Robot Navigation
Abstract: AbstractConsidering the today’s atomization need, autonomous mobile robot navigation and arena exploration becomes most substantial research area. The majority of navigational issues are robot localization, on floor objects localization, deciding strategy for navigation. This paper address the method used to explore empty floor detection implemented on raspberry pi 3 which assistances autonomous mobile robot in terms of localization during safe navigation. The literature shows most of the localization algorithms uses …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 2, 2017 · pp. 41–44 Read article
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Augmented Reality Based Wrist Scan Watch App
Abstract: Augmented reality (AR) has emerged as a transformative technology with profound implications for various industries, including fashion retail. In this context, the development of the AR wrist scan watch application represents a significant advancement, offering consumers an engaging and immersive way to virtually interact with timepieces before making purchase decisions. This research paper delves into the intricate process of creating such applications using Unity, a versatile game engine, and Vuforia, …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 3, 2024 · pp. 1–11 Read article
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Micro-atolls of the Gulf of Kachchh: Environmental Interactions and Adaptations of the Corals-an Anecdote
Abstract: The corals and coral reefs exhibit remarkable shapes and size in the marine realm. Any extant morphometric feature of any creature is a reflection of its interaction with the ambient environment and gradual evolutionary processes. The present study has for the first time revealed the occurrence of the panoply which is outcome of the evolutionary fitness mechanism, acquired by the coral colonies in the study area–Gulf of Kachchh, Arabian Sea. …
Published in Research & Reviews : Journal of Ecology Read article
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Navigating the Cyber World: An In-depth Analysis of Internet Usage, Risks, and Influences on Adolescents
Abstract: This study surveyed aged 10 years and up to learn more about their online habits. In order to learn more about the online habits of this group, the survey asked questions regarding the frequency, duration, and motivations for respondents' time spent online. The study also looked at high-risk behaviours like excessive screen time, increased social media use, and extended gaming sessions as possible indicators of problematic internet use. Indicators of …
Published in Journal Of Network security · Vol. 12, Issue 1, 2024 · pp. 19–25 Read article
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Revolutionizing oncology - role of artificial intelligence in early cancer detection and diagnostic advances-A comprehensive review
Abstract: Oncology has experienced a remarkable transformation with the adoption of artificial intelligence (AI), which has greatly enhanced cancer detection and diagnosis. As one of the leading causes of death worldwide, cancer highlights the importance of early detection in improving patient outcomes and survival rates. AI’s ability to analyze vast and complex datasets has enabled groundbreaking innovations in imaging, pathology, biomarker discovery, and predictive analytics. This review highlights key AI-driven advancements …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 1, 2025 · pp. 18–22 Read article
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Bandgap Analysis of Quasi Bandgap Semiconductor Using FDTD Technique
Abstract: In this work photonic bandgap analysis of boron nitride (BN) quasi bandgap semiconductor is investigated using finite difference time domain (FDTD) method. Here boron nitride semiconductor is cogitated as a-BN, h-BN, c-BN and w-BN semiconductor, where boron nitride is realized by the combination of two BN semiconductor layers separated by air. Simulation for photonic bandgap of the aforementioned semiconductor structure is carried out with respect to thickness of odd and …
Published in Journal of Microelectronics and Solid State Devices · Vol. 2, Issue 2, 2015 · pp. 1–4 Read article