Search
182 articles for “benchmarks”
-
Benchmarking Cost Overruns in Transportation Infrastructure Investments
Abstract: Highway projects have historically experienced significant cost overruns, with front end implications for the sustainability of transportation investments. However, the criteria for assessing cost overruns continues to elicit diverse opinions and has become a debatable issue in the literature. Some studies allude to detailed design stage estimates, while others tag conceptual stage estimates, as the ideal benchmark for quantifying the project cost deviations. A survey of the literature, principally from …
Published in Trends in Transport Engineering and Applications · Vol. 7, Issue 2, 2020 · pp. 29–37 Read article
-
CMC/SWCNT Nanocomposites for Sustainable Smart Metering Sensors: Percolation-Driven Structure–Property Optimization, Experimental Validation, and Literature Benchmarking
Abstract: Biodegradable sensing materials are needed for sustainable smart electricity metering, yet cellulose/single-walled carbon nanotube (SWCNT) systems lack a unified percolation and structure–property description. This study develops carboxymethyl cellulose (CMC)/SWCNT nanocomposite films by solution casting, with SWCNT loadings of 0.0–5.0 wt%, and evaluates their electrical, mechanical, thermal, sensing, and biodegradation behavior. Percolation analysis of the insulator-to-conductor transition gave a critical threshold (φc) of 0.9 ± 0.1 wt% and a critical exponent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
-
Modified Cetyl Trimethyl Ammonium Bromide Method Improves DNA Quality and Quantity in Cotton: The Benchmark for Plant DNA Extraction
Abstract: A wide range of plant genomic DNA extraction or isolation methods are available; however, many of those are limited in their application for a diversified range of plant species. With special emphasis on robustness and versatility, we have improved the cetyl trimethyl ammonium bromide method and isolated high-quality DNA from cotton leaf samples. The major modifications made to the protocol described here were a reduction of sample treatment steps and …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 8, Issue 3, 2018 · pp. 15–19 Read article
-
Virtual Machine Cost & Computing comparison between cloud service
Abstract: Cloud computing has revolutionized enterprise IT infrastructure with virtual machines forming the cornerstone of Infrastructure as a Service deployment. This study provides a detailed comparative evaluation of virtual machine pricing and computational performance among three leading cloud computing platforms: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Through quantitative analysis of current pricing data from September 2025, independent performance benchmarks from Cockroach Labs 2021 Report, and market …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 2, 2026 Read article
-
Artificial Intelligence–Driven Decision Support Systems for Smart and Efficient Data Analysis
Abstract: Artificial Intelligence (AI) has emerged as a transformative technology reshaping the way organizations process information, analyze data, and support decision-making. With the rapid growth of digital data across sectors, traditional analytical methods often face limitations in handling large, complex, and dynamic datasets. AI-based techniques, particularly machine learning and intelligent decision support systems, provide advanced capabilities for identifying hidden patterns, predicting outcomes, and assisting in data-driven decisions. This paper examines the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
-
TRACE: Tracking the Loss of Memory Provenance in LLM Agents
Abstract: AI agents that carry memory across sessions gain better personalization and decision-making, but this persistence opens a serious security gap. When an agent repeatedly condenses earlier interactions into compact “lessons,” the trail linking each lesson back to the interaction that produced it gradually fades. We term this effect Reflective Attribution Collapse (RAC): the progressive loss of provenance and forensic traceability that results from repeated memory reflection. Under RAC, a malicious …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 33–49 Read article
-
A Study on Offline Handwritten Character Recognition (OHCR) of Devanagari Script
Abstract: Handwritten Character Recognition (HCR) has been an interesting and challenging area for the researchers and plays an important role in the modern world. Devanagari script contains many Indian languages such as Hindi, Marathi, Rajasthani. All these languages are based on Devanagari script. In this paper, we give an overview on different classifiers (to get the idea of recognition results) and provide new benchmark for future research from the existing systems, …
Published in Journal of Open Source Developments · Vol. 1, Issue 2, 2014 · pp. 11–14 Read article
-
Linux Operating System Performance Evaluation and States
Abstract: Linux has made great growth recently, and as a result of its many useful features for businesses and home users, it has grown to be one of the maximum broadly used working structures with inside the IT industry. Three Linux desktop distributions were chosen for further assessment based on their popularity among available Linux distributions. The goal of this article is to assess and analyse the performance of three different …
Published in Journal of Advances in Shell Programming · Vol. 8, Issue 2, 2021 · pp. 1–9 Read article
-
Project Performance Appraisal using PQR: A Review
Abstract: The success of a construction project can be indicated by project performance. The concept of project performance has not been clearly defined in the construction industry. Project performance appraisal is usually quantified by performance metrics. To measure performance we need to identify performance metrics. With reference to performance metrics benchmarking of project is done. In literature, while usual performance metrics such as time, cost, quality, client satisfaction etc. are considered …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 2, 2016 · pp. 25–33 Read article
-
Memory Reclamation Behavior Under cgroups v2 Versus Legacy cgroups: A Measurement Framework for Containerized Workloads
Abstract: Linux control groups (cgroups) are the kernel mechanism that lets container runtimes such as Docker, containerd, and CRI-O enforce per-container CPU, memory, and I/O limits, and the transition from the legacy cgroups v1 hierarchy to the unified cgroups v2 hierarchy changed several aspects of how the memory controller signals and responds to reclaim pressure most notably through the introduction of memory.low/memory.high soft-limit semantics and system-wide Pressure Stall Information (PSI). Kernel …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 27–34 Read article
-
Recent Advancements in Parallel Computing
Abstract: AbstractFrom the development and achievement of the first computer constructed from transistors in 1955, the quest for faster computer systems and computations have delivered approximately diverse technological advancement in the way computer systems are constructed and the strategies concerned in programming those computers. These trends have seen an intensive change in speed, size and power intake of those computer systems. In all, there was a wonderful development in computational speedup, …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 1, 2021 · pp. 1–3 Read article
-
Confident but Wrong: A Lifecycle Analysis of Hallucination in Large Language Models Understanding AI's Confidence Problem
Abstract: A Large Language Model (LLM) is likely to produce sentences that are fluent and confident in many instances, but completely wrong. In many cases a Large Language Model (LLM) will produce a fluent and confident sentence that is completely incorrect. This review tries to analyze this phenomenon using the most recent literature regarding natural language generation, computational learning theory and benchmark experiments. The argument is that it is not a …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
-
PG Life Management System
Abstract: The PG Life management system marks a major improvement in managing affordable housing, hotels, and dining options for postgraduate students. The platform integrates tools, task management, and learning resources to increase productivity and reduce stress associated with academic success. PG Life offers a user-friendly platform with flexible features, supporting college students in maintaining academic integrity and success. Its focus on transparency and clear communication improves the hotel guest experience, fosters …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 1, 2025 · pp. 20–24 Read article
-
Acoustic Sensing for City Flow: Quasi-Supervised Recognition of Sirens and Traffic for Urban Mobility Intelligence
Abstract: This paper frames environmental audio as a mobility telemetry source, extending a benchmark urban-sound corpus with transportation-critical classes—ambulance, firetruck, police, and traffic—and training spectrogram-based models under a quasi-supervised regime to support real-time city operations; leveraging 10-fold protocols, class-weighted objectives, and audiospecific augmentations (time stretch, pitch shift, SpecAugment, PatchAugment), the system benchmarks multiple CNN backbones combined with self-supervised learning paradigms enable the extraction of rich, discriminative acoustic representations, achieving strong multi-class …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 42–50 Read article
-
Environmental Impact Assessment of Ocean Energy Converters Using Quantum Machine Learning
Abstract: The accelerating deployment of ocean energy converters (OECs) across tidal, wave, osmotic, and thermal domains necessitates rigorous, data-intensive environmental impact assessment (EIA) frameworks capable of modelling multi-stressor marine ecosystems in real time. Classical machine learning approaches, while operationally mature, encounter scalability bottlenecks and feature correlation limitations when applied to the high-dimensional, non-linear datasets characteristic of offshore monitoring networks. This paper presents a comprehensive quantum machine learning (QML) framework for the …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 22–31 Read article
-
Polymer Composite-Integrated Food Waste Management Across the Supply Chain: Quantification, Process Modelling, and Techno-Economic Valorization
Abstract: Food waste produced throughout the global food supply chain constitutes one of the most impactful forms of inefficiency within the current food production system, producing roughly 931 million tons per year and resulting in economic losses above $1 trillion worldwide each year. One aspect that has not been sufficiently studied systematically is how polymer composite materials, such as membrane separation systems, polymer-coated extraction equipment, fiber-reinforced polymer (FRP) biorefinery infrastructure, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 819–836 Read article
-
Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
-
Linux vs FreeBSD: a comparative evaluation
Abstract: Linux and FreeBSD are both favorite, full featured, advanced open-source operating systems. They present many similarities owning mainly to their common UNIX heritage and their monolithic structure. Both systems support dynamically loaded kernel modules that expand their functionality. Also, they provide a similar set of system calls, and their interrupt handling, and virtual memory management systems adopt many common patterns. However, there are also significant differences. In particular Linux tends …
Published in Journal of Operating Systems Development & Trends · Vol. 5, Issue 1, 2018 · pp. 1–10 Read article
-
Liquid Fertilizer from Food Waste
Abstract: Food waste primarily includes a smart potential if it's processed into organic liquid plant food rather throws away. the present analysis study deals with conversion of garbage generated from restaurants, wedding halls and hotels into organic liquid plant food through anaerobic method within the Cherlapally Industrial space for up service level benchmarks as thought-about by the Ministry of atmosphere and Forest. The garbage was processed in a very closed instrumentality …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 8, Issue 1, 2019 · pp. 5–8 Read article
-
An Investigative Study on Cache-Oblivious Data Structures
Abstract: Cache-oblivious data structures and data management systems have emerged as critical components in modern computing environments, aiming to optimize memory access patterns across different levels of the memory hierarchy without explicit knowledge of cache sizes or configurations. This study presents an overview of cache-oblivious techniques, including adaptive data structures, compression, parallel processing, and security considerations. The workexplores future directions in cache-oblivious systems, such as non-volatile memory support, graph processing, edge …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 2, 2023 · pp. 33–37 Read article