bluuebunny/crossref_metadata_2025 huggingface dataset:
RETRACTED: Modeling the functional safety of an informatization object using cloud technologies
Authors: Ganzhur Marina , Kobylko Andrey , Borisenko Ilya , Dyachenko Nikita
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: World experience analysis in the design of sorting stations
Authors: Dulobov Doston , Saidivaliev Shukhrat , Abdullaev Rustam , Kamilov Khasan
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: Stopping peculiarities of the iterative algorithm for identifying scenes in at video stream
Authors: Alexandrov Islam , Titova Anastasia , Nogmov Muhamed , Karpov Nikita
Published: November 2024

This article has been retracted because it substantially reflects the content and analysis of the following original published article without reference to it:

K. Bulatov, N. Razumnyi, V.V. Arlazarov. On optimal stopping strategies for text recognition in a video stream as an application of a monotone sequential decision model. IJDAR 22:303-314 (2019)

Retraction approved by the Editor and the Publisher on November 26, 2024.
RETRACTED: Enhancing Moscow transport network capacity through streetcar intersection management
Authors: Logachev Maxim
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: Regarding the approximate solution of a system of nonlinear differential equations with a small parameter
Authors: Petelina Vera
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: Future potential of continuous passenger rail services
Authors: Malakhova Tatiana
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: Methodological aspects of internal control of the enterprise management system
Authors: Zakirova Alsou , Klychova Guzaliya , Valiev Ayrat , Khusainov Shaukat , Ullah Raheem , Sagadeeva Elza
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: The use of mathematical modeling and IT technologies to create a modern commodity management system
Authors: Kukartsev Anatoly , Kravtsov Kirill , Panfilov Ilia , Suprun Elena , Boyko Andrei
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: Level of application of advanced technologies for transformation into intelligent systems of enterprises in the regions
Authors: Starodubova Anna , Iskhakova Dinara
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: Risk-balanced assessment of labour resources in the sustainable development system of regions in the digital economy
Authors: Gaponenko Tatiana , Barmuta Karine , Medvedeva Lyudmila , Averina Anastasia
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: In-depth analysis of local sustainable development strategies
Authors: Ovchinnikova Natalia , Vinokurova Natalia , Petrova Irina
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: Exploring morality and politeness in the context of robotic systems: A conceptual interpretation
Authors: Tikhanychev Oleg
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: Socio-economic factors in environmental risk management as applied to urban agglomerations
Authors: Lisina Natalia , Sedina Natalia , Yatsevich Mariya
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: Fundamentals and prospects of green economy in the context of ESG
Authors: Alimova Dilshoda , Khudayarov Bakhtiyar , Ruzmetov Kudrat , Turaev Fozilzhon , Safarbayeva Nigora , Bozorova Orzugul , Sa’dullayeva Maftuna , Nazarov Xasanbek
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: Organization of arrangement of permanent and temporary roads at construction sites to improve energy efficiency
Authors: Doroshin Ivan , Zhadanovsky Boris , Kazaryan Ruben
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: Evaluation of the definition of mechanisation impact on efficiency in capital repair in Russia and Spain
Authors: Fatullaev Rustam , Borovkova Anastasia , Murtazova Lana
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: Scientific tourism as a promising direction for the development of the tourism sector of the Rostov region, Russia
Authors: Mukhametgalieva Victoria , Bakhtin Victor
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: Clinical and laboratory substantiation of monarda hydrolate application in complex therapy of mycoses
Authors: Prokhorov Dmitry , Eliseeva Valeriya , Postnikova Olga , Sataieva Tatiana , Shevchuk Oksana , Bakova Nadezhda , Suslova Anna
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: Construction clusters in the regional economy: Spatial dimension and indicators of strategic development
Authors: Abdullayev Ilyоs , Barmuta Karine , Akhmetshin Elvir , Klochko Elena
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: Innovative technologies in teaching skating to children with intellectual disabilities
Authors: Voronova Elena , Koroleva Olga , Isakova Tatiana
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: Development of the criteria for estimating the trajectory angle when an object is moving
Authors: Lampezhev Abas , Bekmeshov Alexander , Zapolskaya Anna , Gorelov Viktor
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: Works of art and culture in the architectural and landscape environment of the historical part of Rostov-on-Don, Russia, in the formation of the personality of youth
Authors: Goryacheva Elena , Vlasova Irina , Lukyanov Rafael
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
RETRACTED: The role of the hospitality industry in the development of scientific tourism
Authors: Chernova Sophia , Provotorina Valeria
Published: November 2024

See the retraction notice BIO Web of Conferences 138, 00001 (2024), https://doi.org/10.1051/bioconf/202413800001
Advanced Materials for Next-Generation Energy Storage Devices: A Focus on Efficiency and Cost Reduction
Authors: Chandrakala P. , Liz Anita Sofia , Mane Vijay , Bala Jeshurun Subramania , Sharma Gunjan , Pardeshi Pankaj R. , Senthil Kumar R.
Published: November 2024

The increasing demand for efficient and cost-effective energy storage systems has pushed extensive research into improved materials for next-generation energy storage devices. This study discusses the crucial significance of material advances in boosting the performance and reducing the costs of storage technologies such as batteries and supercapacitors. Conventional energy storage systems face limits in energy density, charge or discharge rates, and scalability, which impede their broad implementation. Advanced materials, including nanomaterials, solid-state electrolytes, and innovative electrode compounds, offer solutions to these difficulties by enhancing energy efficiency, power output, and overall longevity. Additionally, the use of plentiful and low-cost materials, such as sodium-ion and aluminium-based compounds, presents prospects for significant cost savings. This research analyzes current trends, issues in material manufacturing, and future perspectives for energy storage systems, concentrating on balancing efficiency improvements with cost-effectiveness to enable the rising integration of renewable energy sources. The development of these materials is important to creating sustainable, scalable, and economical energy storage systems for the future.
AI and Machine Learning Applications in Predicting Energy Market Prices and Trends
Authors: Sharma Gunjan , Dhore M.L. , Jansirani D. , Bala Jeshurun Subramania , Sathi G. , Sherje Nitin , Vivek V.
Published: November 2024

The worldwide energy market is intricate and unstable, shaped by several aspects including geopolitical occurrences, supply-demand variations, and regulatory modifications. Precisely forecasting energy prices and trends is essential for stakeholders, such as energy producers, dealers, and policymakers. This study investigates the utilization of artificial intelligence (AI) and machine learning (ML) to improve energy price forecasting models. Conventional forecasting methods frequently fail to account for the dynamic and non-linear characteristics of energy markets; however, AI/ML techniques, including neural networks, decision trees, and reinforcement learning, provide enhanced prediction precision. By including external variables such as meteorological conditions and economic metrics, AI models can produce more accurate and useful insights. Case studies illustrate the effective implementation of AI in energy markets, showcasing its capacity to surpass traditional methods. This article addresses difficulties such as data quality and computing expenses while delineating potential developments in AI-driven energy market forecasts.
Enhanced Power Quality in Photovoltaic-Fed Dynamic Voltage Restorer Using an Adaptive Grey Wolf Optimization Algorithm for Multilevel Inverter Control
Authors: Mundher Adnan Myasar , S Srisathirapathy , Bhardwaj Diwakar , Sivasubramanian S. , Waikar R.A. , Jain Naveen , Senthil Kumar R.
Published: November 2024

In this paper, we investigate the power quality improvement in a photovoltaic-fed dynamic voltage restorer (DVR) system by utilizing a multilevel inverter controlled through the Adaptive Grey Wolf Optimization (GWO) algorithm. The GWO algorithm is applied to optimize the switching angles of the multilevel inverter, minimizing Total Harmonic Distortion (THD) and mitigating voltage sags in the power system. By integrating renewable energy from photovoltaic (PV) sources, the DVR compensates for voltage disturbances while ensuring cleaner energy conversion and higher power quality. Simulation results demonstrate significant improvements in power quality, including THD reduction and stable voltage restoration during disturbances.
Blockchain-Enabled Energy Management System for Distributed Renewable Energy Microgrids: Enhancing Security and Transparency in Energy Transactions
Authors: Badhoutiya Arti , K Sangamithrai , Indira G. , Suganya M. , Rajput Satpalsing Devising , Ingale Pravin , Hemalatha
Published: November 2024

The rise of distributed renewable energy microgrids presents new opportunities for localized energy generation, but also poses challenges in energy management, security, and transparency. This paper proposes a Blockchain-Enabled Energy Management System (EMS) for distributed renewable energy microgrids to address these challenges. By leveraging blockchain technology, the system facilitates secure and transparent energy transactions between microgrids, enabling peer-to- peer (P2P) energy trading without reliance on a central authority. Blockchain’s decentralized ledger ensures data integrity, enhances system resilience, and prevents unauthorized access, while optimizing energy distribution across the network. This approach promotes a sustainable and efficient energy ecosystem, ensuring trust and reliability in decentralized energy markets.
Blockchain Technology in Energy Management Systems: Enhancing Security and Transparency
Authors: Varshney Neeraj , Sreetharan V. , Vennila C. , Ahila R. , Mane Deepak T. , Kshirsagar Kundalik , Pragathi B.
Published: November 2024

Blockchain technology provides considerable promise to enhance security and transparency in energy management systems. As energy systems grow decentralized and involve various stakeholders, challenges including data integrity, transaction security, and transparency are becoming crucial. Traditional energy systems have risks such as cyberattacks, data manipulation, and inefficiencies owing to centralized control. Blockchain’s decentralized, immutable, and transparent ledger system can overcome these difficulties by enabling safe, verifiable, and tamper-proof energy transactions. Smart contracts further automate and ensure trust in energy trades. This article analyzes blockchain’s application in energy management systems, concentrating on decentralized energy trade, real-time grid balancing, and transparent billing. It also addresses the security implications of blockchain, its limitations, and future potential. While scalability and energy efficiency challenges persist, blockchain's role in constructing more resilient, secure, and transparent energy infrastructures shows promise for the future of energy management.
Design and Analysis of an Over Current Relay Based on MATLAB/Simulink Environment
Authors: Shankar Tiwari Ravi , Prakash Sharma Jai , A Kumaraswamy
Published: November 2024

The work aims to develop and comprehensively analyze an advanced overcurrent relay system for protecting power transmission networks. Overcurrent relays are critical components used either as main protection relays or as backup protection relays in the power transmission protection system. The primary function of these relays is to trip and disconnect the faulty circuit whenever the current exceeds a pre-defined threshold limit or pre-set current value. Ensuring the safety and reliability of electrical power systems heavily relies on the accuracy and performance evaluation of overcurrent relays. As a result, the design and simulation evaluation are conducted using the powerful MATLAB/Simulink platform. This paper presents an in-depth investigation into the design and performance assessment of an overcurrent relay, utilizing the MATLAB/Simulink simulation environment. By evaluating its effectiveness under various fault scenarios, including L-G (Line-to-Ground), L-L-G (Line-to-Line-Ground), and L-L-L-G (Line-to-Line-to-Line-Ground) faults with varying fault locations, the relay’s accuracy, selectivity, and response speed are comprehensively examined.
Energy Management System in Language Laboratories: Enhancing Efficiency for Language Faculty in Communication and Soft Skills Training
Authors: Shaik Iliyas Ali , Reddy A. Venu Gopal , Chengaiah G. , Athahar P.
Published: November 2024

The Language laboratories play a pivotal role in enhancing the communication and soft skills of students. These labs are equipped with multimedia tools that aid interactive learning and facilitate various pedagogical activities. However, faculty members conducting these sessions often experience fatigue and burnout due to prolonged hours of teaching and managing student engagement. This paper proposes an Energy Management System (EMS) specifically designed for language laboratories, aiming to optimize the teaching environment and support faculty energy management. The EMS integrates ergonomic designs, energy-efficient technologies, and automated controls to create a balanced environment that reduces physical and cognitive load. A case study conducted at Apollo University demonstrates the system's effectiveness, showing improvements in faculty well-being, energy savings, and student performance.
Enhancing Power System Stability and Efficiency Using Flexible AC Transmission Systems (FACTS): A Comprehensive Analysis of Control Strategies and Applications
Authors: Shinde Sandip , Gandhi N Rajiv , Margarat G. Simi , Khairnar Yogesh , Al-Jawahry Hassan M. , Landage Milind , Naidu K. Kumaraswamy
Published: November 2024

Flexible AC Transmission Systems (FACTS) play a vital role in enhancing the stability, efficiency, and reliability of modern power systems. With the increasing complexity of power grids due to the integration of renewable energy sources, effective control of power flow, voltage regulation, and stability improvement are critical challenges. FACTS devices, such as Static Synchronous Compensator (STATCOM), Unified Power Flow Controller (UPFC), and Thyristor- Controlled Series Capacitor (TCSC), offer advanced solutions to mitigate these challenges by providing dynamic voltage control, reactive power compensation, and congestion management. This paper presents a comprehensive analysis of various FACTS devices, focusing on their control strategies, applications, and impact on improving power system performance. Simulation results demonstrate the effectiveness of FACTS devices in maintaining voltage stability, optimizing power flow, and minimizing transmission losses, ultimately contributing to a more efficient and resilient power grid.
Adaptive Energy Management System for Enhancing Efficiency and Reliability in Hybrid Renewable Energy Systems
Authors: Mangate L.D. , Alabdeli Haider , Agarwal Rohit , Saravanan T. , V Janakiraman , Sherje Nitin , Naidu K. Kumaraswamy
Published: November 2024

The growing adoption of renewable energy sources and the increasing complexity of power grids necessitate advanced Energy Management Systems (EMS) capable of optimizing power distribution, improving efficiency, and ensuring system reliability. This paper presents an adaptive EMS framework designed for hybrid renewable energy systems, integrating advanced optimization algorithms and real- time data analytics to manage energy flow effectively. By leveraging predictive control and machine learning, the proposed EMS dynamically allocates energy resources, balances load demand, and mitigates power fluctuations arising from the variability of renewable sources. The system’s performance is evaluated through simulations, demonstrating significant improvements in energy efficiency, grid stability, and cost reduction. The study highlights the importance of adaptive EMS in managing hybrid energy systems and supporting the transition towards a more sustainable and resilient energy future.
Analysis of a 2-Bladed NACA 0018 Vertical Axis Wind Turbine
Authors: Olayemi O.A. , Ajide T.F. , Jinadu A. , Obalalu A.M. , Olayemi D.O. , Prasad Brijesh , Bajaj Mohit
Published: November 2024

Renewable energy has provided a stable electricity supply with a guaranteed reduction in CO2 production. There are various types of renewable energy, but wind energy appears to be the least expensive option compared to other renewable energy sources. The current study involves the performance investigation of an H Darrius wind turbine in Ilorin Kwara State, Nigeria. Using Ilorin wind data obtained from the Nigeria Meteorological Agency (NIMET), a 2-dimensional CFD analysis was performed on a two- bladed NACA 0018 airfoil profile with the aid of Ansys (Fluent) to unravel the implications of tip-speed ratio(TSR) and azimuthal increments on the instantaneous moment and power coefficients. The study shows that the accuracy of the results depends on the azimuthal increment used. An acceptable azimuthal increment is required for a low TSR, while an increment of 0.5 is a good choice for a high TSR, and the maximum power coefficient was obtained at a TSR of 4.5.
Adaptive Energy Management System for Electric Vehicle Charging Stations: Leveraging AI for Real-Time Grid Stabilization and Efficiency
Authors: Bostani Ali , Kulshreshtha Kushagra , Agarkar A.A. , Karthika K. , Sarathy K. , Pawar Avinash M. , Ashreetha B.
Published: November 2024

The increasing demand for electric vehicles (EVs) presents significant challenges for energy grids, particularly in balancing demand and supply during peak charging periods. This paper proposes an Adaptive Energy Management System (EMS) for EV charging stations that leverages artificial intelligence (AI) techniques to optimize power distribution and enhance grid stability. By integrating fuzzy logic and reinforcement learning algorithms, the proposed system dynamically adjusts charging power allocation based on real-time grid conditions and EV battery levels. The EMS ensures efficient energy use, minimizes grid overload risks, and enables seamless integration with renewable energy sources. Simulation results demonstrate the system’s ability to maintain grid stability while maximizing charging efficiency. This adaptive approach paves the way for future smart grid applications, offering scalability and robustness for large-scale EV deployments.
Energy Management System for EV Charging Infrastructure
Authors: Bhutkar Ganesh , Kumar Yogesh , R Subramani , Jothi E. , Valarmathy A.S. , Sherje Nitin , Tharmar S.
Published: November 2024

The increasing adoption of electric vehicles (EVs) has led to a significant rise in the demand for efficient and sustainable charging infrastructure. Managing the energy supply to meet this growing demand while ensuring grid stability presents a critical challenge. This paper presents an energy management system designed for electric vehicle charging infrastructure that balances demand and supply in real time. The proposed system dynamically allocates available power to connected EVs based on their charging demands and the total power available, ensuring optimal utilization of energy resources. By simulating various scenarios, the system demonstrates its capability to prevent overloading, efficiently distribute power, and prioritize critical energy needs. The results of the simulation show that the system can effectively manage power distribution, reduce peak load impact, and enhance the reliability of EV charging networks. This approach offers a scalable and adaptable solution for integrating EVs into the existing power grid, contributing to the development of smart and sustainable transportation systems.
Impact of Energy Storage Technologies on Grid-Connected Renewable Energy Systems
Authors: Al-Fatlawy X. Ramy Riad , Senthilkumar S. , M Jeyalaxmi , Borse N.V. , Yadav Kanchan , Landage Milind , Babu D. Suresh
Published: November 2024

The inclusion of renewable energy into the grid causes issues thanks to the intermittent features of sources such as solar and wind. Energy storage technologies are crucial for grid reliability and efficiency. This study explores how batteries, pumped hydro, and flywheels affect grid-connected renewable energy systems. A thorough investigation is made on how energy storage mitigates difficulties such as voltage regulation, frequency control, and load balancing. Economics, environment, cost-benefit analysis, and sustainability are also considered. The analysis underlines the capacity of energy storage to ease the intermittency of renewable energy, while also emphasizing the technical, regulatory, and market constraints that must be solved for extensive deployment. The results imply that improvements in storage technologies are vital for reaching a more resilient, stable, and sustainable system driven by renewable energy.
Advancements in Proton Exchange Membrane Fuel Cells Improving Efficiency and Durability
Authors: Kumar Rakesh , Prabakaran A. , Gaigole P.M. , Esakkiammal U. , N Divya , Sherje Nitin , Ragu Nathan S.
Published: November 2024

This study analyzes recent improvements in Proton Exchange Membrane Fuel Cells (PEMFCs), concentrating on enhancing their efficiency and durability—two essential aspects for their broad use in clean energy applications. Key advancements include the creation of high- performance catalysts, better membrane materials, and innovative system topologies that dramatically raise fuel cell efficiency. Additionally, this study analyzes techniques to increase PEMFC durability, such as enhanced temperature control, innovative materials that resist deterioration, and operating procedures that boost long-term stability. The results reveal major increases in both efficiency and durability, placing PEMFCs as a viable alternative for sustainable energy generation. By addressing existing obstacles and outlining future research paths, this study adds to the ongoing efforts to develop PEMFC technology, opening the road for its integration into multiple energy systems, including transportation, stationary power, and portable applications.
Wireless Fast Charging Solutions for Electric Vehicles: Future Trends and Technological Challenges
Authors: Mokshayini V. , Sindhuri P. , Vivek K. , Mohanarao P.A. , Swathi Aakula , Manoj Vasupalli
Published: November 2024

The rising adoption of electric vehicles (EVs) has exacerbated the need for efficient, user-friendly charging options. Wireless rapid charging presents a viable alternative to standard plug-in systems, with the possibility for greater convenience and reduced wear on connectors. This article covers the current state and future prospects of wireless fast charging systems for EVs, concentrating on the underlying principles, recent breakthroughs, and forthcoming innovations. Key challenges, such as efficiency, cost, safety, and infrastructure integration, are thoroughly analysed. The paper also reviews existing implementations and case cases, highlighting their performance and scalability. Additionally, it examines regulatory and standardization challenges that effect the development and deployment of wireless charging systems. Future research directions are offered to address current constraints and further enhance the technology. Overall, this report gives a detailed analysis of the potential of wireless fast charging to change EV infrastructure and explains the actions necessary to overcome present impediments and reach its full potential.
Integration of PV and Wind Energy Systems: Strategies for Balancing Energy Supply and Demand
Authors: Al-Fatlawy Ramy Riad , Subburam S. , Rai Anjani Kumar , Chavan U.S. , Jayadurga R. , Khairnar Yogesh , Pragathi B.
Published: November 2024

The increasing integration of renewable energy sources, such as photovoltaic (PV) and wind energy, is a crucial step toward reducing carbon emissions and achieving a sustainable energy future. However, the inherent variability of these renewable sources poses significant challenges to balancing energy supply and demand. This paper explores various strategies for integrating PV and wind energy systems to ensure a balanced and reliable power supply. The proposed approaches involve the use of advanced control systems, energy storage solutions, and demand-side management techniques to mitigate the fluctuations associated with PV and wind energy. Simulation results demonstrate that the effective coordination of PV and wind power with energy storage and demand-side response enhances grid stability, reduces power imbalances, and ensures a reliable power supply. This research provides insights into optimizing the integration of renewable energy sources for a more resilient and efficient energy system.
Structural Components Design and Analysis of Four Column Type Hydraulic press
Authors: Nandhamuni Reddy C. , Nithin Kumar B. , Kumar K.
Published: November 2024

This paper focuses on developing structural analysis of components for 100 Ton hydraulic press by means of fundamental calculations and Finite Element Analysis (FEA) techniques for study and optimization of structural design. The core part of this work is to select machines which operate at high capacity at low cost. The design of hydraulic components is developed based on the nature of load acting and working conditions. To reduce the material and money being spent by the company, the design is made in an effective manner with less machining operation and less material usage.
Hybrid Deep Learning Model for Skin Cancer Classification
Authors: Suneetha Irala
Published: November 2024

Skin cancer represents a significant public health concern worldwide, with melanoma accounting for its most lethal form. Timely identification and precise categorization of skin lesions play pivotal roles in enhancing treatment efficacy and fostering better patient outcomes. Deep learning approaches have showed promise in automatically classifying skin cancer from dermatoscopic images. In this paper, propose a hybrid deep learning model for skin cancer classification, combining the strengths of VGG16 and InceptionV3 architectures. VGG16 is known for its simplicity and effectiveness in feature extraction, while InceptionV3 excels in capturing fine-grained details and global context. The proposed hybrid model leverages the complementary features of these architectures to enhance classification performance. We train the model on a dataset of dermatoscopic images, consisting of cancer types, and evaluate its performance using conventional measures such as precision, accuracy, recall, and F1-score. Our experimental outcomes reveal that the hybrid model surpasses standalone VGG16 and InceptionV3 models, achieving superior accuracy in skin cancer classification. The proposed hybrid deep learning method holds promise for improving automated skin cancer diagnosis systems and enhancing patient care in dermatology clinics.
A Review On Google Earth Engine: An Open Access Cloud Analysis Platform For Planetary Scale Satellite Data
Authors: Sangeetham Rohini , Reddy S Narayana
Published: November 2024

The open source cloud computing platform Google Earth Engine (GEE) is utilized in remote sensing. GEE makes use of a significant collection of geospatial data sets and satellite pictures from different satellites, including Landsat, Sentinel, Modis, and others. This platform makes it possible to process massive amounts of data and continuously monitor the world. GEE’s extensive computational capabilities allow it to process data over extended periods of time, making it useful for a variety of applications including monitoring changes to the earth’s surface, changes in forest cover, meteorological analysis, and urban planning. Since its introduction by Google in 2010, this platform has been leveraged for a number of remote sensing applications. This article concentrates on several GEE prospects, including datasets that are available, built-in functions and algorithms, benefits and drawbacks, and applications. There are many journals published, and there have been more in recent years.
Daylight Performance of an Office Building
Authors: Vishnu Priya P. , Gnana Priya M. , Mahesh E. , Naga Sai K. , Fareez D. , Navya Chandrika T.
Published: November 2024

Daylighting plays an important role to enhance the comfort levels for the occupants in the building and also to reduce the usage of artificial lighting during daytime conditions. Excess daylighting of the building increases sun lighting inside the building. Daylighting depends on number of openings provided in each direction of the building and also on wall window ratios. The present study is done for an office building for different orientations with different WWR such as 20%, 25% and 30%. In this study daylight illuminance and day light factor analysis is carried by using daylight simulation in Design Builder. Analysis is done for 12 models. By comparing the analysis, it has been observed that WWR of 25% for all orientation has daylight illuminance value with in desirable ranges when compared to 20% and 30%.
ASEAN Transformation Toward Smart City Environment: A Resource Management Approach in Sustainable Waste and Energy Management
Authors: Widyasari Sindy , Nurmandi Achmad , Fridayani Helen Dian
Published: November 2024

The ASEAN region consists of ten countries, six of which are in the top twenty countries with less successful waste management. ASEAN produces the most marine plastic waste, contributing 1.4 to 3.54 million metric tons annually. This waste problem is exacerbated by shipping waste from Western countries, mainly recycled plastic from Australia, of which 80-87% is sent to Indonesia, Malaysia, Thailand, Vietnam, the Philippines, and Myanmar. The smart city environment approach effectively solves the waste pollution problem in ASEAN. The concept emphasizes efficient resource management, including energy, sustainable transportation, and water management, to create more innovative and sustainable cities. This research aims to determine the extent of resource management implementation in ASEAN to create a smart city environment concept. This research uses descriptive qualitative methods, using secondary data analyzed using NVIVO 12 Plus. The results show that waste generation, energy, and carbon footprint are the top priorities of ASEAN countries in implementing resource management to realize a bright city environment. As for air quality and water consumption, there is still a need for practical solutions, which need to be echoed by ASEAN countries to address these challenges. This research offers insights into adapting this concept to promote environmental sustainability and foster the global development of eco-friendly, advanced cities.
Improving Teacher Performance with Innovative Behavior, Information Technology Skills, and School Work Environment
Authors: Qamari Ika Nurul , Utama Oktafian Candra , Saad Mohd Shamsuri Md
Published: November 2024

The most valuable human resource in schools is the teacher. The success and sustainability of the school depend heavily on teacher performance. Teachers are school resources who accompany and deliver school students to achieve academic performance. This study aims to identify what factors most determine teacher performance. This study examines the effect of teacher innovative behavior, information technology skills, and school work environment on teacher performance. This study uses the entire population as a sample, employing a saturation sample method. The object of the research is a vocational high school which is a model vocational school in Yogyakarta, Indonesia. All 162 teachers were invited to fill out the questionnaire, but 104 teachers were willing to fill out the questionnaire (response rate 64%). SPSS was used to examine the data. The data analysis findings demonstrate that the developed hypothesis is supported by teachers’ innovative behavior, information technology skills, and the school working environment. The study looked at three independent variables, and the school work environment was found to have the most substantial impact on teacher performance. This study explains the relationship between each variable to teacher performance. This investigation introduces novel perspectives on the variables that influence teacher performance.
The Use of Literary Works in EFL Classroom
Authors: Mardiningrum Arifah , Larasati Gita Fitri , Nuraini Eka Indah
Published: November 2024

Literary works have been used in language classrooms for many years. The idea stems from the tight relationship between literature and language, which makes educators believe that using literature benefits language learning. The current study investigates students’ attitudes toward the use of literary works in English classes and their perception of the benefits. This mixed-method study was conducted in an English Teacher Training Program in Yogyakarta, Indonesia. Seventy-nine students were chosen by convenient sampling in the quantitative data collection and 6 for the qualitative data. Questionnaires were used to see the students’ attitudes, and interviews were used to understand students’ perceptions. Using a Likert scale of 1-5 to indicate a very strong agreement to a strong disagreement, the study found a mean score of 2.39, which means that the tendency is closer to scale 1. The number means that students favor using literary works in English classes. The study also found that the students perceived that literary works can make learning enjoyable, help improve language aspects, and hone student’s imagination. The students’ positive acceptance of the use of literary works implies that language educators should consider them as part of all language classrooms and figure out an effective way to make them into effective language learning tools.
Echo Chambers and Algorithmic Bias: The Homogenization of Online Culture in a Smart Society
Authors: Putri Salsa Della Guitara , Purnomo Eko Priyo , Khairunissa Tiara
Published: November 2024

The rise of smart societies, characterized by extensive use of technology and data-driven algorithms, promises to improve our lives. However, this very technology presents a potential threat to the richness and diversity of online culture. This thesis explores the phenomenon of echo chambers and algorithmic bias, examining how they contribute to the homogenization of online experiences. Social media algorithms personalize content feeds, presenting users with information that reinforces their existing beliefs. This creates echo chambers, where users are isolated from diverse viewpoints. Algorithmic bias, stemming from the data used to train these algorithms, can further exacerbate this issue. The main data in this study were sourced from previous studies (secondary data) which focused on research related homogenizing on online culture. The thesis investigates the impact of echo chambers and algorithmic bias on online culture within smart societies. It explores how these factors limit exposure to a variety of ideas and perspectives, potentially leading to a homogenized online experience. By examining the interplay between echo chambers, algorithmic bias, and the homogenization of online culture in smart societies, this thesis aims to contribute to a more nuanced understanding of the impact of technology on our online experiences.
Systematic Literature Review: The Effect of Student Interaction on Academic Achievement in Online Learning
Authors: Nuryana I. Kadek Dwi , Purwanto Purwanto , Isnanto R. Rizal
Published: November 2024

Virtual education has been gaining interest since technology has appeared in everything in our lives. Metaverse is one of the technologies that has been initiated since the late 90s and is currently being updated and renovated to suit current changes. However, many teachers and students still do not know how to utilize virtual space to create a new atmosphere in the learning process. Therefore, this study aims to show the results of using online learning in the form of virtual space in the field of education and how teachers and students respond to the process. In this study, the author wants to conduct a Systematic Literature Review (SLR) on the advantages and disadvantages of virtual education space based on many previous studies related to the topic. The results of surveys conducted by previous studies show that most students enjoy using virtual space as their learning method and can understand some lessons better when using virtual space compared to traditional learning—textbook-based learning and face-to-face learning. Unfortunately, there are several cases of student satisfaction results in online learning that are not optimal. But the results of the Spearman correlation on offline learning most have very good academic achievement (70.7%) and high learning motivation (76.0%), then during online learning most respondents have good academic achievement (76.0%) and low learning motivation (81.3%). In general, the author concludes that virtual space has very good potential in the future to be explored in depth in the field of education because of the development of skills in the use of technology and significant improvements in student academic achievement. However, guidance from teachers and parents is still needed so that students avoid bad things.
Implementation of The Use of Artificial Intelligent (AI) Based Animation Media to Enhance Vocabulary Lintening Skills of Elementary School Student
Authors: Fadillah Roojil , Bariyyah Nurul Amnil
Published: November 2024

This study was conducted to determine the effectiveness of Artificial Intelligent-based animation media in listening skills for Arabic learning vocabulary in elementary school students. This study used mixed methods, the population amounted to 115 students, the sample amounted to 34 students. The data collection technique is observation with classroom teaching techniques, interview questions given to students, pretest and post-test conducted to determine the effect of animated videos on vocabulary listening skills, data analysis using the concept of Miles and Huberman and Paired Sample T-Test. Research results a) The learning process was carried out for 4 meetings beginning with prayer, the teacher checked attendance and asked how the students were doing, gave apperception, reviewed the previous material, delivered the material using the discussion method with a loud voice. Then play the animated video, students listen to the video for 3 times and write the vocabulary on the board, the last stage students mention the vocabulary aloud. b) The effectiveness of using animated videos on listening skills is obtained from the Paired Sample T-Test value, the sig. (2-tailed) is 0.000 <0.05, if the Sig. (2-tailed) <0.05 there is a significant difference between pretest and posttest data. It is concluded that there is a significant difference between Pretest and Posttest data, significantly there is an effect of using animated videos on improving vocabulary listening skills in Arabic lessons.
Development Of Artistic Digital Quranic Interpretation Toward Innovative Foreign Language Learning
Authors: Madjid Muh. Naim , Basalamah Salah
Published: November 2024

This research attempts to develop a model of artistic quranic digital interpretation toward innovative foreign language learning to increase student’s insight on quranic understanding. The purpose of research is to introduce alTashwir alFanniy (TF) model and the student’s opinions about the TF. This quranic interpretation will use several digital exegesis books and non-digital to highlight deeply selected quranic verses. Descriptive analysis approach was used in this qualitative research to take a generalization of the quranic digital interpretation that the selection of controlled samples will produce a reliable answer. The data of population were collected by using the Simple Random Sampling (SRS) and the questionnaire used Lickert scale by twenty of selected respondents. The most important results is there is 70% respondents agreed that alTashwir alFanniy (TF) in the quranic interpretation is very interesting to be learned, 85% respondents agreed that alTahswir alFanniy based on 4 C’s of 21st century skills is easy to be understood and applied in obtaining new insights and deep contemplation in this digital era, and 75% respondents agreed that students can improve their Arabic and English vocabularies by using alTashwir alFanniy model based on technology application.
Integrating Artificial Intelligence into the Arabic Language Teaching Plan at Higher Education
Authors: Samin Saproni Muhammad , Osman Rahmah Ahmad
Published: November 2024

The integration of Artificial Intelligence (AI) in language education has shown significant promise in enhancing teaching effectiveness and student engagement. This study aims to explore the strategies for integrating AI into the Arabic language teaching plan at Universitas Islam Riau. The primary objective is to identify effective methods and tools that can be employed to enhance the learning experience and outcomes for Arabic language students. The research employs a qualitative approach using case study methodology to gather in-depth insights from educators and students. Data collection methods include interviews, surveys, and analysis of existing teaching materials and AI tools. The research instruments consist of structured interview guides, survey questionnaires, and evaluation rubrics for AI tools. The findings indicate that the integration of AI can significantly enhance personalized learning, provide real-time feedback, and support interactive and engaging learning experiences. However, challenges such as the need for technical training for educators and the adaptation of existing curricula to incorporate AI tools were also identified. The study concludes that while AI integration in Arabic language teaching at Universitas Islam Riau holds great potential, it requires strategic planning, continuous support, and collaboration among stakeholders to address the challenges and maximize the benefits. These insights can serve as a guide for other institutions seeking to incorporate AI into their language teaching programs.
Quizizz for EFL Learning Tool: Students’ Views and Attitudes
Authors: Sorohiti Maryam , Nadra Adyra Yasa Nauli , Suryanto Jati , Fatimah Nur
Published: November 2024

As technology-based educational tools become increasingly prevalent in global educational settings, it is essential for teaching methods to evolve alongside technological advancements to maintain students’ engagement. Quizizz, a notable platform within Mobile Assisted Language Learning (MALL), has been widely adopted by English educators to enhance the teaching and learning experience. This study aimed to explore students’ perspectives on utilizing Quizizz as a learning tool and identify the primary aspect of their attitudes toward its use. Employing a quantitative research approach with a survey design, data was gathered from 79 students enrolled in the English Department of a university in Indonesia. Results indicated that students generally hold positive attitudes toward Quizizz, with an overall mean score of 3.25 for students’ attitude (M = 3.25). Furthermore, the affective aspect emerged as the most prominent facet, showing the highest mean score of 3.29 (M = 3.29). The findings suggested that Quizizz is favoured among students for its ability to enhance motivation, engagement, and memorization. This study underscored the recommendation to integrate Quizizz into language learning and teaching practices.
„Medical Humanities“ oder Therapie als Kunst – Kunst als
Therapie
Authors: von Engelhardt Dietrich
Published: November 2024

„Medical Humanities“ steht für eine „humane“ Humanmedizin, vereint
Naturwissenschaften mit Geisteswissenschaften, Künsten und Leben oder
Objektivität der Krankheit mit der Subjektivität des Kranken, vertritt eine
entsprechende Arzt-Patienten-Beziehung, relativiert die Identifizierung von
Krankheit als negativ und Gesundheit als positiv und greift vor allem im
sozialkulturellen Kontext und mit einer Fülle von Erfahrungen und Beispielen aus
Vergangenheit und Gegenwart Therapie als Kunst und Kunst als Therapie auf.
Homöopathie als Seil über Abgründe bei
Jugendlichen
Authors: Heé Hansjörg
Published: November 2024

An 2 Beispielen werden exemplarisch die Möglichkeiten einer homöopathischen
Unterstützung bei Entwicklungskrisen von Jugendlichen gezeigt. Bei Krisen im
Zusammenhang mit der Auseinandersetzung mit sich verändernden körperlichen,
sexuellen, sozialen, schulischen Themen genügt meistens eine homöopathische
Unterstützung, bei komplexen Störungen, insbesondere langjährigen sexuellen
Traumatisierungen, ist eine zusätzliche Begleitung durch regelmäßige Gespräche
oft unerlässlich.