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Articles 3301 - 3330 of 27383

Full-Text Articles in Engineering

Effect Of Temperature On Physicochemical Properties Of Plasticized Hydroxypropyl Methylcellulose K100–Carbopol 934 Films Containing Propylene Glycol As Plasticizer, Braja Bihari Panda, Rudra Narayan Sahoo, Amit Kumar Nayak Mar 2025

Effect Of Temperature On Physicochemical Properties Of Plasticized Hydroxypropyl Methylcellulose K100–Carbopol 934 Films Containing Propylene Glycol As Plasticizer, Braja Bihari Panda, Rudra Narayan Sahoo, Amit Kumar Nayak

Makara Journal of Science

This paper studies the effect of different temperatures on different important physicochemical characteristics of plasti-cized hydroxypropyl methylcellulose (HPMC) K100-Carbopol 934 films containing propylene glycol (as a plasticizer), such as the rheology, thickness, folding endurance, tensile strength, elongation, and in vitro swelling with diffusion ki-netics. Rheology of HPMC K100-Carbopol 934 blend dispersions containing propylene glycol (before film casting) demonstrates that the flow is shear thinning and pseudoplastic. In the study of in vitro swelling, the relaxation-controlled transport is the predominant process of solvent diffusion into these plasticized HPMC K100–Carbopol 934 blend films under study. The results suggest that the solvent transport …

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Chitosan Extraction From Anabas Testudineus Scales For Enhancing The Properties Of Edible Corn Starch-Based Films: Characterization And Performance Evaluation, Yuli Ristianingsih, Ivan Aldino Hernadin, Daniel Timotius Mar 2025

Chitosan Extraction From Anabas Testudineus Scales For Enhancing The Properties Of Edible Corn Starch-Based Films: Characterization And Performance Evaluation, Yuli Ristianingsih, Ivan Aldino Hernadin, Daniel Timotius

Makara Journal of Science

The papuyu fish (Anabas testudineus) is a freshwater species found in South and Southeast Asia. It is known for its ability to survive in extreme conditions, such as low oxygen levels and poor water quality, making it a potential candi-date for climate-resilient aquaculture. In this study, chitosan was extracted from the scales of papuyu fish through de-mineralization using 1 N HCl solution, deproteination using 5% NaOH solution, and deacetylation using 70% NaOH solution, resulting in an overall yield of 5.11%. The extracted chitosan was added to edible film made from corn starch, and the properties of the prepared films were …

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Artificial Intelligence In Decision-Making: Literature Review, Najm A. Kh. Alhatimi Aleessawi, Leila Djaghrouri Mar 2025

Artificial Intelligence In Decision-Making: Literature Review, Najm A. Kh. Alhatimi Aleessawi, Leila Djaghrouri

Journal of the Association of Arab Universities for Research in Higher Education مجلة اتحاد الجامعات العربية للبحوث في التعليم العالي

In the fast-changing world of artificial intelligence (AI), the relationship between technology and decision-making has become a central area of study. Over the past five years, numerous papers have been published examining how AI methods are applied to decision-making processes across various industries. This article aims to highlight the key potential of artificial intelligence to enhance decision-making. It does so by systematically reviewing the literature on the role of AI in improving decision-making, particularly studies published between 2020 and 2024. The review consolidates the main findings from articles in renowned databases such as Google Scholar, Scopus, and IEEE Xplore, offering …

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Double Dual Convolutional Neural Network (D2cnn): A Deep Learning Model Based On Feature Extraction For Skin Cancer Classification, Raya Sattar Shahadh, Belal Al-Khateeb Mar 2025

Double Dual Convolutional Neural Network (D2cnn): A Deep Learning Model Based On Feature Extraction For Skin Cancer Classification, Raya Sattar Shahadh, Belal Al-Khateeb

Iraqi Journal for Computer Science and Mathematics

Artificial intelligence, especially in the field of ``deep learning'', is still promising when it comes to skin cancer detection and diagnosis. Among deep learning algorithms, convolutional neural networks (CNNs) give a high level of accuracy in identifying and classifying different types of skin cancer. CNNs have a strong coordination due to understanding the important features from medical images that are extracted from convolutional layers. However, there is still a problem which is the high imbalance in the dataset with high noise in the images. This paper presents a new solution that combines different architectural structures of convolutional neural networks (CNNs) …

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Federated Learning-Driven Iot And Edge Cloud Networks For Smart Wheelchair Systems In Assistive Robotics, Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, Abdullah Lakhan, Bourair Al-Attar, Waleed Khaled Mar 2025

Federated Learning-Driven Iot And Edge Cloud Networks For Smart Wheelchair Systems In Assistive Robotics, Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, Abdullah Lakhan, Bourair Al-Attar, Waleed Khaled

Iraqi Journal for Computer Science and Mathematics

These days, assistive robotics and their applications for people with disabilities have become a revolutionary field in medical care. It combines edge-cutting technologies such as the Internet of Things (IoT), edge computing networks, and federated learning, offering the best services to disabled people for mobility and navigation in the environment. However, in the state of the art, many conceptual models are presented, and less effort is put into the practical implementation of assistive robots for disabled people in the environment. With this motivation, we propose an intelligent assistive robotics wheelchair system that enhances disabled care in federated learning-enabled IoT and …

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State Of The Grid: Cybersecurity Best Practices For The Utility Industry, Corban Garcia Mar 2025

State Of The Grid: Cybersecurity Best Practices For The Utility Industry, Corban Garcia

SACAD: Scholarly Activities

Developing a strong cybersecurity posture is essential for protecting critical infrastructure, especially in the utility industry. This study analyzes a multi-layered cybersecurity approach that integrates risk management, technology, governance, and workforce training. Based on an examination of industry literature, six key steps were identified. These include assessing security posture, developing policies, implementing security controls, employee training, incident response planning, and regular audits. Each step plays a vital role in mitigating cyber threats and ensuring operational resilience. A comparative analysis of cybersecurity frameworks and real-world incidents highlights the necessity of proactive security strategies. Without these foundational steps, organizations face greater risks …

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Enhancing Wind Turbine Performance Using Flow Control Techniques: A Mini Review, Fady Nouh, Amr Ismaiel, Hasan Eleashy Mar 2025

Enhancing Wind Turbine Performance Using Flow Control Techniques: A Mini Review, Fady Nouh, Amr Ismaiel, Hasan Eleashy

Future Engineering Journal

In the face of escalating environmental concerns and the finite nature of non-renewable energy sources, the imperative for sustainable energy solutions has never been clearer. Among these solutions, wind energy emerges as a significant contender, poised to play a pivotal role in the global energy transition. Wind, a result of solar energy variations and Earth's topography, offers immense potential for electricity generation. Understanding wind patterns and harnessing its energy through efficient technologies like wind turbines is crucial. This paper explores diverse flow control methods, focusing on passive and active approaches in wind turbine configurations. It discusses advancements in the field …

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Design And Control Of Delta Robot (Mini Review), Donia Waheed Seleem, Mohamed A. Shamseldin, Hasan Eleashy Mar 2025

Design And Control Of Delta Robot (Mini Review), Donia Waheed Seleem, Mohamed A. Shamseldin, Hasan Eleashy

Future Engineering Journal

The control of Delta robots, known by their parallel kinematic structure and high-speed operation, presents unique challenges and opportunities. A recent developments in Delta robot will be described. The strategies are aimed at enhancing precision, speed, and flexibility in a variety of robotic applications. Here are some key elements: trajectory tracking, motion planning, and obstacle avoidance. This review paper presents a comprehensive evaluation of three different approaches to enhancing the performance of Delta robots: structural optimization, kinematics and dynamics refinement, and control techniques that have been used. This provides a unique, multidimensional perspective that bridges the gap between isolated optimizations …

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Free Space Optical Communications: Challenges, Mitigation Techniques, Classification Framework, And Standardization, Moataz Mohamed Roshdy, Ahmed Hosny Elghandour, Kamel Mohamed Hassan Mar 2025

Free Space Optical Communications: Challenges, Mitigation Techniques, Classification Framework, And Standardization, Moataz Mohamed Roshdy, Ahmed Hosny Elghandour, Kamel Mohamed Hassan

Future Engineering Journal

Over the past several years, there has been a renewed interest in Free Space Optical (FSO) communication technology, commonly referred to as Optical Wireless Communications (OWC). FSO is sometimes viewed as a substitute for current technology, such radio frequency. In other situations, FSO is viewed as a potent contender to work in tandem and complement next-generation technology, such 5G wireless networks. FSO technology is therefore widely used in a variety of indoor (such as data centers), terrestrial (such as mobile networks), space (such as intersatellite and deep space communication), and underwater systems (such as underwater sensing). Nevertheless, despite the enormous …

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Magnetic And Optical Properties Of Airborne Dust Particles Nearby Coal-Fired Power Plants In Upper Silesia, Poland: A Mineralogical, Petrographical And Chemical Approach, Chrysoula Chrysakopoulou, Konstantinos Perleros, Małgorzata Wojtaszek-Kalaitzidi, Lambrini Papadopoulou, Nikolaos Kantiranis, Stavros Kalaitzidis Mar 2025

Magnetic And Optical Properties Of Airborne Dust Particles Nearby Coal-Fired Power Plants In Upper Silesia, Poland: A Mineralogical, Petrographical And Chemical Approach, Chrysoula Chrysakopoulou, Konstantinos Perleros, Małgorzata Wojtaszek-Kalaitzidi, Lambrini Papadopoulou, Nikolaos Kantiranis, Stavros Kalaitzidis

Journal of Sustainable Mining

Coal mining and exploitation pose certain challenges in terms of environmental management. The objective of this research is the study of airborne dust from Knurow region, Southern Poland, aiming to identify the level and the features of anthropogenic particles, mostly in the form of fly ash. Two samples collected from a domestic gutter system were analysed regarding their mineralogical, chemical and petrographical features, emphasizing the magnetic fraction and the carbonized organic particles. The airborne dust contains 22 wt.% of fossil and fresh organic matter, whereas the major mineralogical phase is magnetite. The magnetic fraction (up to 3 wt.%) appears in …

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Sustainable Viscosity Prediction Of Hybrid Alumina- Copper Oxide Nanofluid For Green Heat Transfer Applications Using Adaptive Neuro-Fuzzy Inference System (Anfis), Mohammad Reza Chalak Qazani, Ganesan Kadirgama, Navid Aslfattahi, Devarajan Ramasamy, Lingenthiran Samylingam, Kumaran Kadirgama, Chee Kuang Kok, Mohd Fairusham Ghazali Mar 2025

Sustainable Viscosity Prediction Of Hybrid Alumina- Copper Oxide Nanofluid For Green Heat Transfer Applications Using Adaptive Neuro-Fuzzy Inference System (Anfis), Mohammad Reza Chalak Qazani, Ganesan Kadirgama, Navid Aslfattahi, Devarajan Ramasamy, Lingenthiran Samylingam, Kumaran Kadirgama, Chee Kuang Kok, Mohd Fairusham Ghazali

The Nexus of Sustainability and Energy Technology Journal

Developing more energy-efficient, environmentally friendly heat transfer solutions is necessary. As a result, the application of nanofluids has attracted an increasing amount of attention. This paper shows a new method for predicting the viscosity of hybrid alumina-copper oxide nanofluid. The Adaptive Neuro-Fuzzy Inference System (ANFIS) was used to predict the abovementioned physical property of the fluid dispersed in Therminol 55; a medium-temperature medium. The concentration of nanoparticles, temperature, and shear rate were found to be the major input factors. In comparison to Decision Trees (DT) and Support Vector Regression (SVR), the ANFIS method model was more effective, yielding a Root …

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Investigation Of Heat Transfer Rate In Automotive Radiator With Graphene Nanofluid With Simulation, M. Afareez Afif Abd Aziz, D. Ramasamy, Rajan Kumaresan, S. Subramaniam Mar 2025

Investigation Of Heat Transfer Rate In Automotive Radiator With Graphene Nanofluid With Simulation, M. Afareez Afif Abd Aziz, D. Ramasamy, Rajan Kumaresan, S. Subramaniam

The Nexus of Sustainability and Energy Technology Journal

The car's cooling system is crucial for keeping the engine at a safe temperature. According to the available literature, radiator fins and microchannels might use some small improvements. Poor thermophysical qualities of conventional heat transfer fluids lead to inefficient engine cooling. High-performance heat transfer fluids with optimal thermophysical qualities must be used to combat this. A lighter car with a more powerful engine might be achieved using a more efficient thermal fluid that allowed for a smaller radiator. In this study, we provide a quick analytical method for assessing radiator performance in an internal combustion engine. The effects of temperature …

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Nanomaterials For Hydrogen Energy: Advancing Sustainable Fuel Solutions, Ganesan Kadirgama Mar 2025

Nanomaterials For Hydrogen Energy: Advancing Sustainable Fuel Solutions, Ganesan Kadirgama

The Nexus of Sustainability and Energy Technology Journal

Hydrogen energy is recognized as a cornerstone for future clean energy systems. Nanomaterials play a critical role in advancing hydrogen production, storage, and utilization by offering unique properties such as high surface area, enhanced catalytic activity, and superior stability. This paper explores the application of nanomaterials in hydrogen energy systems, focusing on their contributions to sustainability and efficiency. The challenges and prospects of integrating nanomaterials into hydrogen technologies are also discussed.

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Prediction Of Battery Thermal Management System Performance By Ai Method, Devarajan Ramasamy, S. Subramaniam, Muhammad Danil Zikry Bin Ezani Mar 2025

Prediction Of Battery Thermal Management System Performance By Ai Method, Devarajan Ramasamy, S. Subramaniam, Muhammad Danil Zikry Bin Ezani

The Nexus of Sustainability and Energy Technology Journal

This paper presents a novel approach to predicting the performance of battery thermal management systems (BTMS) using artificial intelligence (AI) methods. The proposed method leverages machine learning algorithms to analyze large datasets of battery performance data and identify patterns that can be used to predict future performance. This project focuses on developing an AI model to predict battery temperature and investigating the performance of the AI model. The study limits its scope to using cylindrical lithium-ion batteries and employs Orange software for machine learning. The findings demonstrate that machine learning models, particularly Random Forest and Gradient Boosting, are highly effective …

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Managing Smart Cities By Designing A Communications System Using Lora Technology, Mustafa K. Ati, Hassan F. Khazaal Mar 2025

Managing Smart Cities By Designing A Communications System Using Lora Technology, Mustafa K. Ati, Hassan F. Khazaal

The Nexus of Sustainability and Energy Technology Journal

In this paper Compared to previous works, we used a research methodology that relied on the effect of modern communication technology parameters of LoRa on the operation sensors of an advanced communication system to benefit from it in smart city communications. the design of communication system had been proposed through the use of long Range (LoRa) device and software defined radio (SDR) technology, Where the used LoRa are of types (SX1278, ESP32T-Beam) and are used as sensors which transmit the data to the access point represented by SDR Technology. The data is transmitted from the sensors via the SDR to …

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The "Distributed Ghost" With Independence - A Study On Computational Ability Of Skewed Asynchronous Cellular Automata, Shrey Salvi, Shlok Shelat, Sumit Adak, Souvik Roy Mar 2025

The "Distributed Ghost" With Independence - A Study On Computational Ability Of Skewed Asynchronous Cellular Automata, Shrey Salvi, Shlok Shelat, Sumit Adak, Souvik Roy

Northeast Journal of Complex Systems (NEJCS)

This paper explores the computational ability of ``distributed ghost" cellular automata (CA) \cite{10.1162/artl_e_00450} after introducing independence in the updating scheme. Traditionally, the CA system dictates all cells to update together following the concept of the global clock. To introduce independence in the system, CA researchers have introduced the notion of fully asynchronous updating scheme with atomicity property where, again, the CA system dictates two neighbouring cells not to update together. In this study, we explore the skewed asynchronous system after breaking the atomicity property. Specifically, we study the computational ability of the proposed skewed asynchronous system in the context of …

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Analysis Of Systematic Trade-Offs Between Military And Healthcare Expenditure Alongside Gdp Growth Of Select Asian And Western Exporting Economies In The 21st Century, Rahul Balamurugan, Carlos Gershenson, Preethi Nanjundan, Hiroki Sayama Mar 2025

Analysis Of Systematic Trade-Offs Between Military And Healthcare Expenditure Alongside Gdp Growth Of Select Asian And Western Exporting Economies In The 21st Century, Rahul Balamurugan, Carlos Gershenson, Preethi Nanjundan, Hiroki Sayama

Northeast Journal of Complex Systems (NEJCS)

This study explores the complexity in the trade-offs between military expenditure, healthcare expenditure, and GDP growth across select Asian nations and major weapon-exporting countries, examining how nations allocate finite resources between national security and human well-being over the past two decades. Using a systems science approach, the research integrates Granger causality testing to analyze temporal and directional relationships among GDP growth, military expenditure, and healthcare expenditure, uncovering their dynamic interdependencies. The methodology includes trend and slope analysis, Granger causality testing, outlier detection, and clustering to identify heterogeneity in resource allocation strategies. Developed, weapon-exporting nations exhibit complementary trends, with strong causality …

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Prediction Of Unit Haulage Cost In An Underground Mine Using Machine Learning Techniques, Marco Cotrina, Jairo Marquina, Junior Polo Mar 2025

Prediction Of Unit Haulage Cost In An Underground Mine Using Machine Learning Techniques, Marco Cotrina, Jairo Marquina, Junior Polo

Journal of Sustainable Mining

The primary objective of the research was to apply machine learning techniques to forecast the unit costs of ore hauling in an underground mine. The methodology employed was quantitative, with a non-experimental and descriptive design. Haulage data were collected over a 12-month period. Furthermore, an exploratory data analysis (EDA) was conducted using various models, including ANN-MLP (Artificial Neural Network – Multilayer Perceptron), Random Forests, Extreme Gradient Boosting, Support Vector Regression, Decision Tree, KNN, and Bayesian Regression, to handle the data’s complexity. The data were split into 80% for training, 10% for testing, and 10% for validation. The results indicated that …

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Saudi Arabian Universities' Need For A Nuclear Security Educational Textbook: A Systematic Review, Faisal Bin Nasser Sarbaland, Takaaki Sakai Mar 2025

Saudi Arabian Universities' Need For A Nuclear Security Educational Textbook: A Systematic Review, Faisal Bin Nasser Sarbaland, Takaaki Sakai

International Journal of Nuclear Security

Nuclear security education is a critical element in ensuring the safe and responsible use of nuclear energy, particularly in countries like Saudi Arabia, where the demand for energy is increasing. This systematic review explores the current needs for nuclear security educational materials in Saudi Arabian universities, focusing on the development of a specialized textbook for this purpose. The review addresses the increasing global demand for nuclear security professionals and highlights the gaps in educational resources available in the Middle East, particularly in Saudi Arabia. Using a thematic analysis of existing educational programs and curricula from various international institutions, the paper …

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Analysis Of Nuclear Security And Safety Integration Using Survey Responses And Pairwise Comparison Methods, Sheila V. Gbormittah, Theodore A. Thomas, Jason Timothy Harris Mar 2025

Analysis Of Nuclear Security And Safety Integration Using Survey Responses And Pairwise Comparison Methods, Sheila V. Gbormittah, Theodore A. Thomas, Jason Timothy Harris

International Journal of Nuclear Security

Integrating nuclear security and safety is important for implementing and sustaining nuclear technology because it promises improved and effective management. This integration is an ongoing effort to ensure that both work together with minimal conflicts. This research aimed to determine the preferred level at which nuclear security and nuclear safety integrate by using the pairwise comparison methods of decision-making. This methodology used survey responses from women nuclear professionals to identify the most-desired criteria at three levels: strategic, operational, and cultural. The strategic level includes actions that government officials and regulators can take. The operational level encompasses actions that deliver the …

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Design Of An Electro-Hydraulic Laboratory Test System For Adjusting The Inclination Angle Of Sowing Machines, Aytac Moralar, Figan Dalmis, Bahattin Akdemir Mar 2025

Design Of An Electro-Hydraulic Laboratory Test System For Adjusting The Inclination Angle Of Sowing Machines, Aytac Moralar, Figan Dalmis, Bahattin Akdemir

The Philippine Agricultural Scientist

Field testing of grain sowing machinery requires favorable field conditions and sufficient time periods, making laboratory tests a preferred alternative for determining performance under controlled conditions. However, a standardized testing system for evaluating sowing machinery has not yet been established. In this study, a test system was designed for laboratory testing of universal grain sowing machines. A movable platform was built on a chassis made using sheet metal with different dimensions and profiles. It operates through a hydraulic system via a programmable logic controller-based control system. The sowing machine placed on this platform allows for inclination adjustments (front, back, right, …

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Forecasting And Assessment Of Air Quality Dynamics In Northeast India Using Machine Learning Models, Kumar Shubham, Gopikrishnan T, Anshuman Singh Mar 2025

Forecasting And Assessment Of Air Quality Dynamics In Northeast India Using Machine Learning Models, Kumar Shubham, Gopikrishnan T, Anshuman Singh

The Philippine Agricultural Scientist

This study investigated air quality dynamics in Northeast India, a region with unique terrestrial features, including the Eastern Himalayas. While air quality varies across districts, pollution impacts the entire area. Northeast India’s rich ecology is crucial for Himalayan climate regulation. Robust air quality monitoring and pollution control are essential to preserve environmental balance. This work focused on forecasting emissions of aerosols, SO2, NO2, CO, HCHO, O3, and CH4 primarily associated with human activities. Utilizing data from the Tropospheric Monitoring Instrument (TROPOMI) satellite instrument from 2019 to 2023, a 9-mo forecast was conducted using …

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Applying Image Processing And Computer Vision For Damage Detection In Photovoltaic Panels, Montaser Abdelsattar, Ahmed Abdelmoety, Ahmed Emad-Eldeen Mar 2025

Applying Image Processing And Computer Vision For Damage Detection In Photovoltaic Panels, Montaser Abdelsattar, Ahmed Abdelmoety, Ahmed Emad-Eldeen

Mansoura Engineering Journal

As the use of Photovoltaic (PV) panels as a sustainable energy source grows, there is a need for effective and precise techniques to monitor and manage these systems. Conventional techniques for identifying faults in PV panels, such as manual inspections, require a significant amount of effort and are susceptible to mistakes made by humans. This study introduces an innovative automated method that utilizes image processing techniques implemented using the OpenCV library to identify panel faults, namely hotspots, which are important indications of possible failures. The study approach combines grayscale conversion, histogram analysis, and adaptive thresholding to accurately detect and evaluate …

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Are Emojis The New Words? A Sentiment Analysis Of Social Media Brand Conversations, Yashodhan Karulkar, Dev T. Vora, Siddharth Vaddepalli, Yash Thakur Mar 2025

Are Emojis The New Words? A Sentiment Analysis Of Social Media Brand Conversations, Yashodhan Karulkar, Dev T. Vora, Siddharth Vaddepalli, Yash Thakur

Journal of International Technology and Information Management

Emojis have become an increasingly important aspect of consumer-brand interactions in the Indian subcontinent. However, the impact of emoji use on brand image and mental health remains underexplored, particularly in emerging economies like India, where structured research on this topic is limited. To address this gap, the present study analyzes over 4,600 consumer tweets related to 19 prominent brands across eleven industries. Using VADER sentiment analysis, the research develops a metric to assess consumer sentiment and brand engagement in relation to emoji usage. The findings indicate that effective integration of emojis contributes to positive consumer sentiment and enhanced brand engagement. …

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Dеvеlоpmеnt Аnd Simulаtiоn Оf Аutоmаtiс Tеmpеrаturе Соntrоl Sуstеms Fоr Sоlаr Drуеrs, Sarvar Rejabov, Botir Shukurillayevich Usmonov, Komil Usmanov Feb 2025

Dеvеlоpmеnt Аnd Simulаtiоn Оf Аutоmаtiс Tеmpеrаturе Соntrоl Sуstеms Fоr Sоlаr Drуеrs, Sarvar Rejabov, Botir Shukurillayevich Usmonov, Komil Usmanov

Chemical Technology, Control and Management

Thе utilizаtiоn оf sоlаr еnеrgу in thе drуing оf аgriсulturаl prоduсts is соnsidеrеd signifiсаnt duе tо its еnеrgу еffiсiеnсу аnd еnvirоnmеntаl friеndlinеss. Hоwеvеr, trаditiоnаl drуing mеthоds fасе сhаllеngеs in mаintаining stаblе tеmpеrаturе аnd humiditу lеvеls, whiсh саn lеаd tо rеduсеd prоduсt quаlitу аnd dесrеаsеd prосеss еffiсiеnсу. Tо аddrеss thеsе issuеs, thе implеmеntаtiоn оf аutоmаtiс соntrоl sуstеms is еssеntiаl. In dеvеlоping аn аutоmаtiс tеmpеrаturе соntrоl sуstеm fоr sоlаr drуеrs, thе hеаt аnd mаss trаnsfеr prосеssеs wеrе prесisеlу mоdеlеd. Thе primаrу pаrаmеtеrs оf thе drуing prосеss, suсh аs prоduсt tеmpеrаturе аnd mоisturе соntеnt dуnаmiсs, wеrе еxprеssеd thrоugh mаthеmаtiсаl еquаtiоns. PID аnd Fuzzу …

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Principles And Models Of Construction Of Linear Motion Actuators With Holonomic Structure For Intelligent Robot Movement, Matyokubov Nurbek Rustamovich, Temurbek Omonboevich Rakhimov, Yusupov Bekmurod Bayotovich Feb 2025

Principles And Models Of Construction Of Linear Motion Actuators With Holonomic Structure For Intelligent Robot Movement, Matyokubov Nurbek Rustamovich, Temurbek Omonboevich Rakhimov, Yusupov Bekmurod Bayotovich

Chemical Technology, Control and Management

This article is devoted to the principles and models of building linear motion actuators with holonomic structure for the movement of intelligent robots. Also, the classification of the elements of the linear movement performance according to their interconnections and technical characteristics, taking into account their physical characteristics, was seen. A morphological matrix of the construction of holonomic structured linear motion performance elements based on the classification according to the considered technical specifications is presented. The given morphological matrix of linear motion actuators serves to develop new actuators for intelligent mechatronic and robotic systems. Based on the morphological matrix of the …

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Methodology Of Automated Control Of Situations In Structurally Complex Systems With Recycled Flows, Khusan Zokirovich Igamberdiev Academician, Madina Mirxalilovma Fozilova Feb 2025

Methodology Of Automated Control Of Situations In Structurally Complex Systems With Recycled Flows, Khusan Zokirovich Igamberdiev Academician, Madina Mirxalilovma Fozilova

Chemical Technology, Control and Management

This article discusses the methodology of automated management of situations in structurally complex systems with recycled flows. The need to develop a correct model for effectively controlling such systems based on scientific principles of analysis and decision-making is substantiated. Particular attention is paid to modeling, optimizing, and using digital technologies, including artificial intelligence, to improve the accuracy and efficiency of management decisions. The principles of decomposition, multi-criteria optimization, and linguistic models of fuzzy correspondence are described, which can be used in conditions of uncertainty and complexity of industrial facilities.

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Metal Nitrides As Cathode Hosts For Lithium-Sulfur Batteries, Hai-Ji Xiong, Cheng-Wei Zhu, Ding-Rong Deng, Qi-Hui Wu Feb 2025

Metal Nitrides As Cathode Hosts For Lithium-Sulfur Batteries, Hai-Ji Xiong, Cheng-Wei Zhu, Ding-Rong Deng, Qi-Hui Wu

Journal of Electrochemistry

Lithium-sulfur batteries are considered as one of the potential solutions as integrating renewable energy systems for large-scale energy storage because of their high theoretical energy density (2600 Wh·kg–1) and specific capacity (1675 mAh·g–1). Currently, various strategies have been proposed to overcome the technical barriers, e.g., “shuttle effect”, capacity decay and volumetric change, which impede the successful commercialization of lithium-sulfur batteries. This paper reviews the applications of metal nitrides as the cathode hosts for high-performance lithium-sulfur batteries, summarizes the design strategies of different host materials, and discusses the relationship between the properties of metal nitrides and their …

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Enhancing Cycle Life Of Graphite ‖ Lifepo4 Batteries Via Copper Substituted Li2Ni1-XCuXO2 Cathode Prelithiation Additive, Jian-Ming Zheng, Jing-Wen Zhang, Tian-Peng Jiao Feb 2025

Enhancing Cycle Life Of Graphite ‖ Lifepo4 Batteries Via Copper Substituted Li2Ni1-XCuXO2 Cathode Prelithiation Additive, Jian-Ming Zheng, Jing-Wen Zhang, Tian-Peng Jiao

Journal of Electrochemistry

Lithium nickel oxide (Li2NiO2), as a sacrificial cathode prelithiation additive, has been used to compensate for the lithium loss for improving the lifespan of lithium-ion batteries (LIBs). However, high-cost Li2NiO2 suffers from inferior delithiation kinetics during the first cycle. Herein, we investigate the effects of the cost-effective Cu substitution of Li2Ni1-xCuxO2 (x = 0, 0.2, 0.3, 0.5, 0.7) synthesized by high-temperature solid-phase method on the structure, morphology, electrochemical performance of graphite‖LiFePO4 battery. The X-ray Diffraction (XRD) refinement result demonstrates that Cu substitution strategy is favorable …

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Sno2 Particles Embedded Into Carbon Coated Mesoporous SioX Rod As High Volumetric Capacity Anode For Lithium-Ion Batteries, Jia-Lin Guo, Ni-Ni Li, Peng Zheng Feb 2025

Sno2 Particles Embedded Into Carbon Coated Mesoporous SioX Rod As High Volumetric Capacity Anode For Lithium-Ion Batteries, Jia-Lin Guo, Ni-Ni Li, Peng Zheng

Journal of Electrochemistry

Due to the high capacity and moderate volume expansion of silicon protoxide SiOx (160%) compared with that of Si (300%), reducing silicon dioxide SiO2 into SiOx while maintaining its special nano-morphology makes it attractive as an anode of Li-ion batteries. Herein, through a one-pot facile high-temperature annealing route, using SBA15 as the silicon source, and embedding tin dioxide SnO2 particles into carbon coated SiOx, the mesoporous SiOx-SnO2@C rod composite was prepared and tested as the anode material. The results revealed that the SnO2 particles were distributed uniformly in the …

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