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This research paper delves into the crucial role of materials management in construction projects, categorizing it into five key areas: measurement and specification, procurement, delivery, administration, and utilization. The study, focusing on qualitative and quantitative aspects, particularly explores factors contributing to project delays. The literature review establishes materials management as critical, involving planning, quality control, procurement, and timely delivery. Given the significant expense of building materials, strategic management is vital for cost reduction. The research identifies and categorizes key factors responsible for delays in construction projects, with a focus on the Indian context. A survey employing the Relative Importance Index (RII) reveals limited supplier availability, low IT utilization, and delays in material receipt as primary contributors to material management delays. The paper concludes with practical recommendations such as diversifying supplier bases and improving technology integration and communication, contributing nuanced insights for practitioners and researchers in the ongoing effort to optimize materials management and minimize delays in construction projects.

The global energy landscape is undergoing a significant transformation, driven by the dual imperatives of innovation and regulation. This paper reviews the work in the areas of sustainable energy transitions, focusing on the intricate balance between demand-side innovations and governance, as seen in Germany’s energy transition journey. The study further delves into the European context, highlighting the emergence of Renewable Energy Communities (RECs) and the challenges and opportunities they present in achieving a just and democratic energy transition. The paper also introduces the World Economic Forum’s Energy Transitions Index (ETI), a comprehensive tool that tracks the performance of energy systems at the country level, offering insights into the macroeconomic, institutional, social, and geopolitical considerations that shape energy transitions globally. Collectively, these areas of study underscore the importance of a holistic approach to energy transition, one that harmonizes technological advancements with policy frameworks and societal needs.

Electricity market reforms, pivotal in shaping the energy landscapes of both developed and emerging economies, have garnered significant attention in academic and policy circles. This review, drawing from existing research, seeks to understand the nuanced implications of these reforms, particularly on small producers who are integral to the energy matrix. By synthesising insights from seminal works on the subject, we aim to elucidate the multifaceted consequences of electricity market reforms. Our exploration reveals that while reforms can potentially streamline operations and optimise price-cost margins, their tangible impact is moulded by diverse factors, from fuel costs and technological shifts to market structures. The intricate relationship between regulatory accounting, tariff dynamics, and the overarching goals of market regulators emerges as a recurrent theme. As the global energy paradigm undergoes transformation, this review underscores the need for a holistic understanding of market reforms, ensuring a balanced and sustainable energy future for all players in the sector.

This review explores Peer-to-Peer (P2P) Energy Trading Platforms in Local Energy Markets, drawing insights from three key studies. These markets, using P2P trading, efficiently distribute electricity within communities. Research assesses P2P trading’s impact in a Norwegian neighbourhood, comparing it to scenarios without local markets. It also examines integrating PV systems, batteries, and electric vehicles on grid operations. Findings reveal minimal grid impacts with PVs alone, but adding batteries increases voltage fluctuations and losses. However, P2P trading benefits end-users with cost savings and supports Distribution System Operator operations. The paper surveys global P2P energy trading projects, emphasising communication and control networks within local Microgrids. It discusses the transition from passive consumers to prosumers in power networks and introduces the concept of a federated power plant, combining virtual power plants and P2P transactions among prosumers to address challenges and unlock additional value. This review fills research gaps, shedding light on P2P energy trading’s multifaceted aspects in local markets and its transformative potential for the energy sector.

This paper provides a comprehensive review of dynamic control strategies for FACTS (Flexible AC Transmission Systems) devices, aligning with the “Dynamic Control Strategies for FACTS Devices in Modern Power Grids.” It addresses the critical role of FACTS in managing modern power grids, focusing on their ability to enhance power quality, stabilize voltage, and improve energy efficiency. As power systems evolve to incorporate renewable and distributed energy sources, the challenges of ensuring reliable and stable grid operations become increasingly complex. The review discusses how FACTS technology and dynamic control strategies are vital components in addressing these challenges. By regulating voltage profiles and power system stability, FACTS devices contribute to the efficient integration of renewable energy sources, aligning with the overarching theme of the review article. In essence, this review sets the stage for a deeper exploration of the dynamic control strategies that underpin FACTS devices’ contributions to the modern power grid’s reliability and efficiency, emphasizing their relevance and significance in the evolving energy landscape.

The realm of energy storage devices is witnessing a paradigm shift, driven by the exploration of novel materials. This review delves into the transformative potential of unconventional materials in enhancing the performance and versatility of energy storage systems. We discuss the potential of a hierarchical carbon material derived from E. coli cells, graphene oxide, and iron ion, underscoring its green credentials and promising attributes. Further, we highlight the transformative impact of paper as a material platform, tracing its evolution from a historical medium to a contemporary game-changer in microfluidic devices and microelectronics. The integration of electronics on paper reveals the potential of paper-based devices in diagnostics, MEMS, and energy storage. Collectively, these innovations illuminate the vast potential of avant-garde materials in revolutionising energy storage solutions, bridging the gap between cost-effectiveness and high performance. This review aims to provide a comprehensive overview of these groundbreaking innovations, fostering a deeper understanding of the future trajectory of energy storage research.

The current paper discusses about the work made on the study to develop a highly adaptable and versatile stadium, departing from traditional single-purpose designs, with a focus on maximizing utility. With a substantial gross seating capacity of 61424, the stadium is intended to host various sports competitions and large public gatherings. The planning process relies on Computer-Aided Design (CAD) and Building Information Modelling (BIM) software to ensure precise detailing in structural aspects. Advanced engineering software enhances structural analysis, allowing for comprehensive investigations into dynamic load responses. The design's reliability is ensured through a combination of manual calculations and engineering software outcomes.

We now understand that, in the general construction of structures, the selection of reinforcing materials plays a critical role in guaranteeing structural durability and integrity. The comparative study of fibre reinforced polymer (CFRP) bars and steel, two widely utilized materials, is explored in this abstract with an emphasis on the differences in their load-deflection properties and ductility behaviours. Because of its exceptional ductility, steel is commonly used in constructions that are situated in seismically active areas. On the other hand, CFRP bars have certain benefits, such resistance to corrosion and less weight, even if they are less ductile. The trade-offs between various materials are revealed by the study of load-deflection qualities, highlighting the significance of choosing the best choice in light of particular building constraints and needs.

The escalating use of plastic products alongside rising ambient temperatures has intensified concerns regarding their performance under diverse thermal conditions. This paper delves into the intricate relationship between plastic materials, ambient temperature fluctuations, and resulting stresses. Various grades of plastic materials are subjected to distinct ambient temperatures to elucidate stress generation—a pivotal aspect in plastic product design. Leveraging the finite element method, a comprehensive analysis is conducted to design and assess a plastic product under specified loads and ambient temperatures. The study encompasses the evaluation of equivalent stresses, normal and shear stresses, and deformations. Ultimately, the research culminates in the development and analysis of a thermally stable plastic product, offering valuable insights for robust design practices amidst evolving environmental conditions.

As the healthcare landscape embraces the revolutionary power of digitalization, improving inventory systems has become a top priority. Hospital asset tracking primarily focuses on monitoring various assets within a healthcare facility. These assets encompass human resources, medical equipment, vehicles, and other essential resources crucial for seamless hospital operations. Tracking assets in a hospital setting can range from monitoring individual medical devices to overseeing entire fleets of equipment and staff resources. The central objective is to maintain real-time records of asset status, and location to optimize productivity while minimizing costs. This project tracks the assets within the hospital using RFID sensors and outside the hospital using GPS. Radio frequency identification system (RFID) is an automatic technology and is used to identify objects, and record data through radio waves. Hospital asset management and tracking has become one of the main priorities in healthcare as it saves hospitals both money and time. Hospitals are under constant pressure to persistently track their medical equipment and supplies to make sure that they are properly utilized. This enhances financial performance and ensures the delivery of high-quality patient care. These are the advanced approaches to improve hospital asset management through real-time tracking and data analysis.

In the current study, the investigation of heat transfer and fluid flow Characteristics of Pure water when pass through a double tube heat exchanger (DTHX). this investigation has been conducted across various Reynolds Number to gain insights into their performance also conducted a computational fluid dynamics (CFD) simulation using the ANSYS-FLUENT 22 R1 software. Result obtained was validated by comparing to empirical correlation data found in the existing literature. The investigation considered various operating variable as Reynolds Number and temperature across the inner, and outer tubes. Specifically, the Reynolds Number of a range of 2500 to 5500 at 333 K, and 2500 at 303 K for the respective tubes. Key findings are that friction factor is increase by 6.38% as compared to correlation (Blasius) in existing literature. And Nusselt number (Nu) increase by 40.84% as compared to correlation at the Reynolds Number (Re) of 2500. The heat transfer coefficients (hi) were increased by 8.30% as compared to existing literature.

Automobiles and motorcycles that run on conventional fuels are currently not the greatest for transportation because to the rising awareness of pollution and the energy shortage concerns. There is a demand for a less expensive and more effective mode of transportation because the cost of petroleum goods is soaring right now. Additionally, it is becoming more and more crucial to conserve energy in order to assess the issue of leftover fuel depletion. Even large-scale manufacturing and industrial operations restrict their employees' use of transportation within the premises in order to reduce the risk of air pollution. Research on environmentally friendly transport has increased to fulfil these demands. Technology for electrically powered vehicles is a step in the right direction. One such environmentally friendly vehicle that aids employees in covering large distances inside of their organisations is the monowheel. A monowheel is a single-track, one wheeled vehicle that looks a lot like a unicycle. The rider sits inside the wheel as opposed to being above it like on a unicycle. The wheel is a ring that is often propelled by smaller wheels contacting its inner rim. The smaller wheels are powered by an electric motor and a battery to turn. Changes to the frame's design and the addition of solar panels as a backup power source are proposed. Then, the car can also be powered by solar energy. Software from CATIA and ANSYS, respectively, are used for the design and analysis of the inner and exterior fames.

The study of parallel and distributed computing has become an important area in computer science because it makes it possible to create high-performance software that can effectively handle challenging computational tasks. In terms of their use in the world of high-performance applications, parallel and distributed computing techniques are given a thorough introduction in this study. The partitioning of computational processes into smaller subtasks that may be completed concurrently on numerous processors or computers is the core idea underpinning parallel and distributed computing. This strategy enables quicker execution times and enhanced performance in general. Parallel and distributed computing are essential for high-performance applications like scientific simulations, data analysis, and artificial intelligence since they frequently call for significant computational resources. High-performance apps are able to effectively handle computationally demanding tasks thanks in large part to parallel and distributed computing. This article offers a thorough review of the theories, methods, difficulties, and developments in parallel and distributed computing for high-performance applications. Researchers and practitioners may fully utilize the potential of parallel and distributed computing to open up new vistas in computational science and engineering by comprehending the underlying concepts and utilizing the most recent breakthroughs.

Bioinformatics is a fast evolving field that combines biology, computer science, and statistics to analyze and comprehend enormous volumes of biological data. As a result of the introduction of high-throughput technologies like next-generation sequencing and mass spectrometry, genomic and proteomics research has generated enormous volumes of data, necessitating the development of computational tools to process and extract useful insights from these datasets. This presentation presents a survey of computational approaches in bioinformatics with a particular emphasis on their application to genomics and proteomics. The study of the entire genome is a topic covered in the discipline of genomics, which also includes genome annotation, assembly, and comparative genomics. Proteomics focuses on the investigation of proteins, including their identification, quantification, structural analysis, and functional characterization. Consequently, the importance of the area of bioinformatics has increased.

The globe has adopted the cloud computing environment, which organizes data and manages space for data storage, processing, and access. This technical development has brought up questions regarding data security and privacy in cloud computing environments, though. The purpose of this abstract is to offer a thorough review of the issues, solutions, and future developments related to data privacy and security in cloud computing. Keeping data private and secure while it is being processed and stored in outside data centres is the main difficulty in cloud computing systems. The abstract discusses the dangers of insider threats, data breaches, and illegal access to sensitive information. It digs further into the legal and compliance criteria that businesses must follow in order to protect user data in the cloud. In result, data privacy and security in cloud computing environments remain critical concerns for organizations and individuals alike. In the survey the overview of how to use cloud storage globally and its challenges, solution and future innovation is well explained. It underscores the importance of robust encryption, access controls, user awareness, and emerging technologies in safeguarding data in the cloud. By addressing these concerns, organizations can leverage the power of cloud computing while maintaining the confidentiality, integrity, and availability of their data.

Complex optimization issues may now be solved using computational intelligence (CI), which has shown to be a powerful and diverse discipline. Traditional optimization approaches frequently struggle to offer efficient and effective solutions because real-world situations are becoming more complicated. Evolutionary algorithms, neural networks, fuzzy systems, and swarm intelligence are just a few examples of the many methods that fall under the umbrella of computational intelligence and are inspired by both natural and artificial intelligence. This abstract examines how computational intelligence techniques are used to solve complicated optimization issues, highlighting their benefits, drawbacks, and most recent developments. In this, computational intelligence techniques provide a potent and adaptable solution for resolving challenging optimization issues. They are highly adapted for dealing with the non-linear connections, uncertainties, and multi-objective situations that arise in real-world problems. The limits of computational intelligence have recently been pushed by recent developments in hybrid techniques and metaheuristics, even if obstacles in algorithm design and parameter tuning still exist. Computational intelligence is anticipated to play an increasingly significant role in tackling complicated optimization issues and fostering innovation across a variety of disciplines as technology continues to advance.

Cryptography, optimization, simulation, and machine learning are just a few of the industries that might be completely transformed by quantum computing. This abstract gives a thorough introduction to quantum computing with an emphasis on its algorithms, architectures, and applications. In conclusion, this abstract offers an in-depth analysis of quantum computing, including its algorithms, structures, and applications. It highlights the revolutionary potential of quantum computing in tackling difficult issues that are beyond the scope of conventional computers, laying the groundwork for further research and understanding of this quickly developing topic.

SRAM (Static Random Access Memory) is one of the type of memory which holds the data bit without periodic refreshment. Compared with DRAM (Dynamic Random Access Memory) which requires periodic refreshment of data bit stored in it. Unlike Dynamic RAM, Static RAM uses a flip-flop circuit to store each data bit, whereas Dynamic RAM uses a capacitor to store the data bit. But capacitor has tendency of losing charge which requires periodic refreshment. Thus SRAM perform better and have more stability than DRAM especially in idle state. In this work, we analysed the performance of the SRAM cell which are built with different field effect transistors and calculated the Write and Read delays, PDP (Power Delay Product) and Static Noise Margin (SNM) for all types of transistors. SRAM cell which is based on the CNT technology with optimized parameters of CNT density, CNT diameter and CNTFET flat band voltage has the better performance and stability compared with other device technologies. Optimized CNTFET SRAM cell compared with the MOSFET based SRAM the write and read delays are improved by 85.8% and 94.3% respectively. All the simulations have been carried out using HSPICE tool for 32nm technology node.

Due to recent developments, the POSIT number system, winch has been planned as a successor for numbers that are expressed in IEEE floating-point, which are in the focus of advances in arithmetic. Although this format claims to deliver more precise outcomes with the same bit width as ordinary floating point, the duration of the operation fluctuation during posit field identification poses a hardware design problem. The POSIT-based MAC Unit is created using Verilog HDL in this study, and the designed architecture is evaluated for good operation before being implemented on an FPGA using Xilinx Vivado.

Multiple valued logic (MVL) can represent an exponentially higher number of data/information compared to the binary logic for the same number of logic bits. Compared to the conventional devices, the emerging device technologies such as Graphene Nano Ribbon Field Effect Transistor (GNRFET) and carbon nanotube field effect transistor (CNTFET) appears to be very promising for designing MVL logic gates and arithmetic circuits due to some exceptional electrical properties such as the ability to control the threshold voltage. This variation of the threshold voltage is one of the prescribed techniques to achieve multiple voltage levels to implement the MVL circuit.This work presents a 4-input ternary adder using carbon nanotube field effect transistor (CNTFET). Many researchers have been done work on implementation of ternary adders and multipliers. But no one has done the comparison of this proposed ternary adder with different types of nano transistors. Hence this work has been proposed a design of low power and high speed 4-input adder which will be useful for designing of fast ternary multipliers. All the proposed designs have been simulated using emerging device such as CNTFET at 32nm technology node. From the simulations, we have calculated the power consumptions of the proposed designs, carry propagation delay and power delay product for the CNTFET circuits. It has been observed that CNTFET based proposed logic circuits given a better performance than the conventional logical circuits.

This work presents comparison of ternary combinational digital circuits that reduce energy consumption in low-power VLSI (Very Large Scale Integration) design. CNTFET and GNRFET-based ternary half adder (THA) and multiplier (TMUL) circuits has been designed using ternary unary operator circuits at 32nm technology node and implement two power supplies Vdd and Vdd/2 without using any ternary decoders, basic logic gates, or encoders to minimize the number of used transistors and improve the energy efficiency. The effect of CNTFET and GNRFET parametric variation with threshold voltage on performance metrics namely delay and power has been analyzed. Dependence of threshold voltage on the geometry of carbon nanotube and graphene nanoribbon makes it feasible to be used for ternary logic design. It is analyzed that CNTFET based circuits are energy efficient than the GNRFET- based circuits. It is also concluded that the CNTFET-based circuitshas less power-delay product (PDP) when compared to GNRFET- based circuits. CNTFET-based THA is 23.5% more efficient than GNRFET-based THA and CNTFET-based Tmul is97.8% more efficient than GNRFET-based Tmul.All the digital circuits have been simulated using HSPICE tool.