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1800 articles for “performance studies” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Use of Data Envelopment Analysis to Measure the Technical Efficiencies of Oil Refineries in India
Abstract: This paper is an attempt to implement the Data Envelopment Analysis (DEA) approach to measure the relative efficiency of a sample of oil refineries in India over a period of two years, 2012, 2013. We demonstrate that DEA is an effective tool for the Ministry of Petroleum (MOP) for monitoring and controlling the performance of oil refineries, which are growing as an important sector in India. We followed a case …
Published in Journal of Offshore Structure and Technology · Vol. 1, Issue 3, 2014 · pp. 13–31 Read article
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Prediction of the Natural Progression of Tuberculosis using Markov Model
Abstract: This study was done to find out the natural development of the tuberculosis (TB) patients. It was an observational study conducted between years 2013 and 2015 at 200 patients with TB. 150 patients entered the regular treatment of dot course and the remaining patients entered the irregular treatment of Dot course. The stage of the patient was noted at the end of the every year and transition matrices were applied …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 3, 2018 · pp. 7–11 Read article
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Comparative Study between Smart Controls and Conventional Bottom Hole Completions
Abstract: This research project made use of Schlumberger’s “ECLIPSE 100” reservoir simulator to predict the performance of a reservoir with an overlying gas cap and an underlying aquifer (i.e., a three- phase Water-Oil-Gas reservoir) under conventional BHC techniques. Additional work was done to ascertain the suitability of incorporating an Intelligent Well (IW) to deal with water production problem by placing Inflow Control Valves (ICV) at particular segments in the well to …
Published in Journal of Petroleum Engineering & Technology · Vol. 6, Issue 3, 2016 · pp. 77–89 Read article
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Structure–Property Modeling of Cement-Based Multi-Component Composites Using Ensemble Machine Learning and Explainable Feature Attribution
Abstract: Accurate prediction of compressive strength is central to structure–property optimization, quality control, and sustainability-driven design in cement-based composite materials. Cementitious systems represent heterogeneous multi-phase composites composed of reactive binder matrices and dispersed aggregate phases, whose macroscopic mechanical performance emerges from complex nonlinear interactions among constituents and curing-dependent microstructural evolution. This study develops a data-driven structure–property modeling framework to quantify the nonlinear dependence of compressive strength on multi-component composite composition and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 112–131 Read article
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Estimation of Rock Participation Factor through Hydro Tests of Pressure Shafts: A Case Study
Abstract: Pressure shafts for conveying water from fore-bay reservoir to power generating units are designed by taking advantage of surrounding rock mass in sharing internal design pressure. The ratio of internal pressure shared by surrounding rock mass to design pressure is known as rock participation factor (RPF). It is a very important parameter in economizing the cost of pressure shafts through saving of high strength steel. However, to ascertain share of …
Published in Journal of Water Resource Engineering and Management · Vol. 2, Issue 2, 2015 · pp. 6–12 Read article
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Optimizing Solo Athletic Excellence: Analyzing Psychological, Economic, and Cultural Drivers in Elite Sports Performance
Abstract: This research paper explores the multifaceted drivers behind elite solo sports performance, integrating psychological, economic, and cultural perspectives to understand how these factors contribute to athletic excellence. The study synthesizes insights from a variety of academic journals, authoritative books in sports science, and articles from prominent sports and psychology magazines. Through a mixed-methods approach, we analyze the resilience and mental strategies employed by solo athletes, assess the economic conditions that …
Published in Recent Trends in Sports · Vol. 1, Issue 1, 2024 · pp. 16–26 Read article
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Role of Reinforcement Learning in Improvement of Semiconductor Doping
Abstract: The semiconductor industry faces increasing challenges in achieving optimal doping profiles as device dimensions shrink and performance requirements intensify. Traditional doping optimization methods, while effective, often struggle with the complex, multi-dimensional parameter spaces characteristic of modern semiconductor manufacturing. This study explores the transformative role of reinforcement learning (RL) in improving semiconductor doping processes, examining how RL algorithms can autonomously optimize doping parameters to enhance device performance, reduce manufacturing costs, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 23–34 Read article
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Novel Strategic Framework between Polymer Manufacturers and Waste Management Companies: A Mixed-Method Approach for Enhancing Circular Efficiency in Polymer Industries
Abstract: The study describes the perspectives of the industry stakeholders and qualitatively and quantitatively assesses the recycling efficiency, cost optimization, and environmental performance using a mixed-method approach. The framework features processes, as it were: onboard invention, coupling, and sustainable valorization of the intersection, thus solidly connecting the production side with the waste management. The primary function of the patterns of interaction between the plant waste-management system, the retrieval of polymer composites, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1570–1609 Read article
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Comparative Analysis Between Librosa and OpenSMILE
Abstract: This research work focuses on comparative study of Librosa, a python-based library, and openSMILE, a C++ toolkit, with python bindings used in audio speech analysis. Librosa is ideal for beginners due to its simple structure and flexibility with strong integration with machine learning frameworks like TensorFlow and PyTorch. On the other hand, OpenSMILE is ideal for speech-centric tasks like speech-emotion recognition or paralinguistic studies, offering a wide range of pre-defined …
Published in Journal of Open Source Developments · Vol. 12, Issue 3, 2025 · pp. 06–10 Read article
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Using Fuzzy Control System Develop Boost DC-to-DC Converter
Abstract: The main motive of this study is to use MATLAB Simulation to design a FLC (fuzzy logical controller) for a boost DC-DC converter. By creating an FLC algorithm, the FLC was integrated into the system. This implies that the controller bases its control decisions on the concepts of fuzzy logic. The inductor has undergone extensive design and calculation work to guarantee that the transformer runs in mode of continuous conduction. …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 22–28 Read article
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Performance Analysis of DNA Sequencing Using Smith-Waterman Algorithm on FPGA
Abstract: The Smith-Waterman algorithm is the most accurate and optimal alignment algorithm for DNA sequencing. It is utilized to locate the ideal local alignment between two sequences. While looking sequence databases that may contain billions of sequences, this algorithm turns out to be computationally costly and tedious. Smith-Waterman algorithm needs additional memory space and this constrains the extent of a sequence to be aligned. In this study we will implement the …
Published in Journal of VLSI Design Tools and Technology · Vol. 9, Issue 2, 2019 · pp. 8–12 Read article
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Need for Inclusive Education for Behavioral Difficulties Students
Abstract: Behavior difficulties during childhood and adolescence can have immediate consequences on the educational setting, scholastic performance, and social growth of children. Research indicates that students with behavioral issues have lower academic performance and poorer relationships. Teachers may experience stress from these behaviors and confrontation with parents. Long-term negative results include unemployment, mental health issues, and increased societal expenses. The current study examines the behavioral challenges faced by students through five …
Published in International Journal of Community Health Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 27–32 Read article
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Silicon Symphony: The Science of Semiconductors Circuits
Abstract: Modern electronics are built on the foundation of semiconductor circuits, which precisely and efficiently control the flow of electrical impulses. This article takes a look at the underlying physics of semiconductor materials and how their unique electrical properties allow the design and functioning of diodes, transistors and integrated circuits. This study links microscopic scientific principles to the behaviour of real circuits. It considers essential concepts such as charge carriers, doping …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Experimental Study on the Strength Enhancement of Carbon Fiber Reinforced GGBS Concrete
Abstract: This study provides an in-depth analysis of the experimental investigation conducted on carbon fiber reinforced GGBS concrete (CFRGC). The primary objective of the research was to evaluate the effects of carbon fibers on various mechanical properties of concrete, with a particular focus on strength parameters. In this study, the carbon fiber content was systematically varied from 0.5% to 1.5% by weight of cement, in increments of 0.5%, to determine the …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 36–50 Read article
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The Digital Frontier in Mental Health for Modern Schools
Abstract: In the dawn of the 21st century, educational landscapes are evolving rapidly, moving beyond traditional brick-and-mortar confines and integrating deeply with the digital realm. This study delves into an emerging facet of this digital integration, using web development tools and platforms to address and bolster student mental well-being in contemporary schools. As mental health becomes a paramount concern, with its profound impact on academic performance, peer interactions, and holistic development, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 3, 2023 · pp. 15–23 Read article
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Effect of Chemically Treated Plant Cellulose on Mechanical, Fatigue and Fracture Toughness Behaviour of Polyester Composite
Abstract: In this research study, the effect of chemically treated plant cellulose on the mechanical, fatigue, and fracture toughness behaviour of polyester composites was investigated. Ramie plant cellulose fibers were used as the reinforcing material, and polyester resin was used as the matrix material. Three different chemical treatment processes, namely alkalization, acetylation, and etherification, were used to adapt the superficial chemistry of the fibers and advance their compatibility with the polyester …
Published in Journal of Polymer & Composites · Vol. 11, Issue 3, 2023 · pp. 21–29 Read article
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Development of a Self-Cleaning Mechanism for Solar Panels to Enhance Efficiency
Abstract: On Earth, solar energy is the most plentiful source of energy. As it happens, the heat generated by the fusion of helium on the outermost part of the Sun additionally happens to be renewable. This energy is becoming popular because of natural advantages. In digital circuit design, AI can aid in logic synthesis and analog circuit design, AI can help in sizing transistors. The tools used to transform daylight into …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 1, 2024 · pp. 1–10 Read article
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Enhancing Cooling Efficiency in Dual Nozzle CO2-Based Vortex Tube Systems for Machining Titanium Alloys: Implications for Polymer and Composite Processing
Abstract: In machining of Titanium alloys, the cutting temperature plays a vital role that directly influences the performance and it is required to maintain as low as possible. In this study, a dual nozzle Vortex Tube Cooling System (VTCS) that supplies cool compressed CO2 gas is developed to reduce the cutting temperature in Ti-6Al-4V machining. The experiments were conducted at constant cutting and flow parameters during turning at different levels of …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 284–291 Read article
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Review and Opportunities for Thermal examination approaches Used to Investigate the Thermal Properties of Composite Compounds
Abstract: The use of thermal examination approach to assess the thermal quality of energy materials in “China” is concisely described. They are often used to calculate thermal stability, compatibility, and thermophysical constants, as well as to study thermal breakdown kinetics, causes, and interactions. Furthermore, a few studies focused on creativity or advancement, such as analyzing the mechanisms of topochemical reactions, assessing condensed-phase reaction kinetics by tracking the change in functional groups …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 96–106 Read article
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Marine Fleet And Container Transportation In Marine Terminals And Its Effect On Increasing Products
Abstract: The advancement of technology has made sea container terminals become complex infrastructures to manage, so this should be studied and investigated by analysts and transportation experts through improving the efficiency and performance of the container terminal. However, the large number and variety of logistical activities gathered together is a major obstacle to effective decision-making processes. In most cases, logistic processes in this field are considered as NP-hard problems. In addition, …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 2, 2024 · pp. 21–27 Read article