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检索条件"机构=Dept. of Internet of Things and Robotics Engineering"

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Efficiency of dye-sensitized solar cells is impacted by the incorporation of a light-scattering layer

Efficiency of dye-sensitized solar cells is impacted by the ...

引用

2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2024

作者： Kumar, Sourabh Chandravanshi, Shashank Pandit, Manjaree Paliwal, Nikhil Rajput, Saurabh Kumar Mits Dept. of Electrical Engineering Gwalior India Mits Centre for Internet of Things Gwalior India

ISBN: (纸本)9798350348460

The study examines the effectiveness of 500 nm TiO2 layers in Dye-sensitized solar cells (DSSCs) to improve light absorption. By integrating these larger-particle TiO2 layers as scattering elements, the research aims to enhance solar cell efficiency. Comparative analysis between standard 20 nm and 500 nm TiO2 particles reveals promising results. The DSSC employing the 500 nm TiO2 paste within a hybrid-structured thin film exhibits a significant efficiency boost, reaching 4.22% to 4.59%. This highlights the substantial impact of larger-particle TiO2 layers in enhancing light-harvesting efficiency within DSSCs, showcasing their potential for advancing solar energy conversion technology. © 2024 IEEE.

关键词： Dye-sensitized solar cells Light-scattering layer Screen-printing Titanium dioxide

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Model Predictive Control of "pV+ESS" Electric Spring 7

Model Predictive Control of "pV+ESS" Electric Spring

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7th International Conference on robotics, Control and Automation engineering, RCAE 2024

作者： Zhang, Zuhang Xu, Dezhi Pan, Tinglong Yang, Weilin Jiangnan University Dept. School of Internet of Things Engineering Wuxi China Southeast University Dept. School of Electrical Engineering Nanjing China

ISBN: (纸本)9798350355642

This paper introduces a new Electric Spring topology-Photovoltaic and Energy Storage System Electric Spring. On the basis of the common topology electric spring-2(ES-2), the power supply that provides DC bus voltage is changed to photovoltaic power,and the bus voltage stability is adjusted by a double-closed loop. And, the voltage stability of the control critical load is realized by Finite Control Set Model Predictive Control(FCS-MPC). Finally, the feasibility of the proposed scheme is verified by simulation and experiment platform. On the basis of realizing the original function of the Electric Spring, the photovoltaic energy utilization rate is further improved. © 2024 IEEE.

关键词： Predictive control systems

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Performance and Cash-flow Study of Rooftop Photovoltaic Plant for Dispensary Building Energy Demand 4

Performance and Cash-flow Study of Rooftop Photovoltaic Plan...

引用

4th International Conference on Advancement in Electronics and Communication engineering, AECE 2024

作者： Kulshrestha, Deepansh Mansuri, Mohmmad Suaib Panse, Gautam Trivedi, Ikshita Rajput, Saurabh Kumar Sagwal, Rahul MITS Electrical Engineering MP Gwalior India Mits Internet of Things MP Gwalior India Iit Kanpur Dept. of Design UP India

ISBN: (纸本)9798350364729

This research paper presents a dual-part analysis of a 6 kWp rooftop Photovoltaic (RPV) plant for the medical dispensary building. The study aims to assess RPV plant's performance in supplying power to dispensary lighting and medical equipment, and evaluate its economic feasibility. The performance analysis scrutinizes operational efficiency under composite environment conditions of Gwalior (India) location, calculating metrics like performance ratio and energy yields. The economic analysis focuses on investment, operational costs, and energy bill savings. The outcomes indicate that the plant achieves a performance ratio of 78% under an annual average ambient temperature of 25°C. The analysis of cash flow demonstrates that the plant attains a simple payback period of 9 years in relation to its 25-year lifespan. By merging performance and economic results, the paper provides a comprehensive understanding of the RPV system's effectiveness at medical dispensary building. This research informs healthcare facilities about technical performance, energy potential, and financial gains linked with RPV integration. It contributes to promoting sustainable energy adoption in hospitals, fostering cleaner and resilient power solutions. The full system has a 78% performance ratio, with winter efficiency at 82% and summer at 73%. Generates: 8,383 kWh per year returning to Grid: 5,087 kWh per year A 9-year payback time makes it also an attractive financial commitment for sustainability energy in healthcare. © 2024 IEEE.

关键词： Sales

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Exploring the Impact of Conditional Deep Convolutional Generative Adversarial Networks in Brain Tumor Image Classification: A Novel Approach

Exploring the Impact of Conditional Deep Convolutional Gener...

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2025 International Conference on Pervasive Computational Technologies, ICPCT 2025

作者： Upadhyay, Deepak Upadhyay, Abhay Sharma, Kuj Bihari Dhondiyal, Shiv Ashish Venu, Nookala Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Graphic Era Deemed to Be University Dept. of Computer Science and Engineering Dehradun India Centre for Internet of Things Madhav Institute of Technology & Science Deemed University Gwalior India

ISBN: (纸本)9798331508685

In this paper, we explore the impact of conditional Deep Convolutional Generative Adversarial Networks (cDCGANs) with brain tumor image classification and introduce a new way to improve diagnosis accuracy. Shortage of Data/Data Imbalance: In Medical Imaging datasets, it helps in surging the data scarcity and class imbalance with mimicking generation images using cDCGAN. The detailed investigation demonstrates that synthetic data effectively improves classifier performance by acting as a form of augmentation, providing additional training examples for classifiers and serving as ground truth. From the computational efficiency analysis, we see that there is also scalability in training time with respect to dataset size. Consequently, this study presents cDCGANs as an important asset with which to improve diagnostic accuracy through brain tumor categorization in clinical contexts. © 2025 IEEE.

关键词： Generative adversarial networks

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A Hybrid Autoscaling Algorithm for Microservices with Federated Load Balancing 3

A Hybrid Autoscaling Algorithm for Microservices with Federa...

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3rd International Conference on Computer, Control and robotics, ICCCR 2023

作者： Song, Chenghao Jiang, Lingyun Nanjing University of Posts and Telecommunications Dept. School of Communication and Information Engineering Nanjing China Nanjing University of Posts and Telecommunications Dept. Institude of Internet of Things Nanjing China

ISBN: (纸本)9781665492126

Since edge clouds do not have more computational processing power than central clouds and can easily lead to scaling timeout violations and poor resource handling when dealing with dynamic loads. This paper conducts an experimental evaluation of microservice applications using two real workloads in a real edge cloud environment and proposes a hybrid autoscaling approach for microservices with federated load balancing (LB-HVPA). The approach enables centralised unmonitored load awareness by integrating the results of load balancing into the hybrid autoscaling module, avoiding additional scheduling due to unknown load distribution scenarios. Simulation results show that this approach can reduce the number of timeout violations and container scaling for microservice applications in edge cloud environments. © 2023 IEEE.

关键词： Dynamic loads

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Machine Learning-driven Antenna Selection Strategies for Fading MIMO Systems 2

Machine Learning-driven Antenna Selection Strategies for Fad...

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2nd IEEE International Conference on Advancements and Key Challenges in Green Energy and Computing, AKGEC 2024

作者： Upadhyay, Deepak Sharma, Kunj Bihari Gupta, Mridul Upadhyay, Abhay Venu, Nookala Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Graphic Era deemed to be University Dept. of Computer Science and Engineering Dehradun India Madhav Institute of Technology & Science Deemed University Centre for Internet of Things Gwalior India

ISBN: (纸本)9798350390179

In this study, we investigate better performing antenna selection strategies in wireless communication systems based on machine learning algorithms. Reinforcement learning as well as neural networks among others are analysed for different metrics such a bit error rate (BER), signal-to-noise ratio (SNR) and data throughput. These results show that these methods are working well against the dynamic changing of channel conditions to provide reliable and efficient. The computational complexity analysis suggests affordable overhead, allowing the feasibility of real-time implementation. Although this method can simulate the scenario in a real environment, it is not scalable due to simulation fidelity and antenna array. On the one hand, future research will refine and expand upon these ML models with real-time adaptation capabilities - On the other hand significant field trials are needed to put this work into practice for specific applications making sure that we develop robust adaptive wireless communication systems in practice. © 2024 IEEE.

关键词： Adversarial machine learning

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Delta-γ Modeling of Wireless System Resilience in Multipath Fading and Interference Environments 7

Delta-γ Modeling of Wireless System Resilience in Multipath...

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7th International Conference on Contemporary Computing and Informatics, IC3I 2024

作者： Upadhyay, Deepak Upadhyay, Abhay Sharma, Kunj Bihari Gupta, Mridul Venu, Nookala Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Graphic Era deemed to be University Dept. of Computer Science and Engineering Dehradun India Graphic Era deemed to be University Dept. of Electronics and Communication Engineering Dehradun India Madhav Institute of Technology & Science Deemed University Centre for Internet of Things Gwalior India

ISBN: (纸本)9798350350067

In this paper, we pursue the resilience of wireless communication systems in multipath fading and interference environments utilizing Delta- γ modelling. Furthermore, fading phenomena such as Rayleigh/Rician/Nakagami channels can be simulated to examine the impact on important performance metrics like SNR, BER and throughput. Different types of interference scenarios, covering co-channel and adjacent channel interferences are also studied to understand impact on system capacity as well as reliability. This article investigates the use of adaptive modulation techniques, multiple-input multiple-output (MIMO) strategies and advanced interference management schemes by extensive *** results illustrate the importance of adaptive strategies in overcoming fading and interference which leads to an increase in system resilience as well as a robust communication link. Metrics for the outage probability and mean time to failure (MTTF) can inform how reliable systems are across operational scenarios. This work reconciles theory with practice to provide a systematic way of controlling the operational parameters in wireless networks under varying conditions. These lessons will be crucial in steering the design of forthcoming wireless systems that must more reliably satisfy a broader set of application requirements. © 2024 IEEE.

关键词： Multipath fading

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Optimal Resource Allocation in Dynamic Fading Channels via Meta-Learning Techniques 2

Optimal Resource Allocation in Dynamic Fading Channels via M...

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2nd IEEE International Conference on Advancements and Key Challenges in Green Energy and Computing, AKGEC 2024

作者： Upadhyay, Deepak Sharma, Kunj Bihari Gupta, Mridul Upadhyay, Abhay Venu, Nookala Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Graphic Era deemed to be University Dept. of Computer Science and Engineering Dehradun India Graphic Era deemed to be University Dept. of Electronics and Communication Engineering Dehradun India Madhav Institute of Technology & Science Deemed University Centre for Internet of Things Gwalior India

ISBN: (纸本)9798350390179

In this paper, we address the optimally dynamical resource allocation problem for fading channels utilizing meta-learning methods with an application to improve efficiency and performance in wireless communication systems. Extensive experiments are conducted and our meta-learning model has demonstrated the ability to adapt itself dynamically in various channel conditions, leading to improvement of Signal-to-Noise Ratio (SNR), reduction of Bit Error Rate (BER) and enhancement on throughput when compared with traditional methods. Visualizations like performance analysis comparisons, heatmaps or 3D plots are used to show how the model can be leverage as effectively manager of resources where they are and when they suit best. The performance improvements demonstrated here are statistically significant testifying for the scalability of our work. The findings of this study demonstrate the major benefits that can be achieved by meta-learning to overcome immanent issues in fast-changing wireless conditions and its potential to propel future communication technologies forward. © 2024 IEEE.

关键词： Contrastive Learning

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Design and Performance Analysis of an IoT Network Based Smart Safety Jacket for Miners 15

Design and Performance Analysis of an IoT Network Based Smar...

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15th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2023

作者： Gatera, Omar Mtonga, Kambombo Kubwimana, Patrick Audace, Dei F. Ndayishimiye, Elysee Basar, Ertugrul African Center of Excellence in Internet of Things University of Rwanda Kigali Rwanda University of Rwanda Dept. of Electrical and Electronics Kigali Rwanda Koc University CoreLab Dept. of Electrical and Electronics Engineering Istanbul Turkey

ISBN: (纸本)9798350324433

Underground mining is associated with various hazards including, gas poisoning, gas explosion and suffocation. All these and other dangerous mining situations pose a risk to the miners life. IoT can be used to enhance mining safety, thereby preventing minor and major injuries, and fatalities in mining workplaces. This paper presents the design and performance analysis of an IoT network based smart safety jacket for real time monitoring of health and safety of miners. This smart jacket is equipped with a carbon monoxide gas sensor, temperature and humidity sensor and Electrocardiograph (ECG) sensor. These sensors collect data which are transmitted to the control room wirelessly, through NRF24L01+ wireless module that is connected to the smart safety jacket. When the level of monitored data is beyond the critical level, an actuator on the smart safety jacket triggers an alarm warning the workers of the incident. For real-time communication and access from anywhere, the receiver system transmits instantly the received data to the cloud through ESP 8266 Node MCU wireless module. In response to the warning, the workers can take timely decisive decision to avert danger. © 2023 IEEE.

关键词： Miners

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Dynamic Resource Allocation and Security Strategies in Cooperative Relaying Systems with Eavesdropping Threats 27

Dynamic Resource Allocation and Security Strategies in Coope...

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27th International Symposium on Wireless Personal Multimedia Communications, WPMC 2024

作者： Upadhyay, Deepak Sharma, Kunj Bihari Upadhyay, Abhay Gupta, Mridul Venu, Nookala Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Graphic Era deemed to be University Dept. of Computer Science and Engineering Dehradun India Graphic Era deemed to be University Dept. of Electronics and Communication Engineering Dehradun India Deemed University Centre for Internet of Things Madhav Institute of Technology and Science Gwalior India

ISBN: (纸本)9798350392319

The dynamic resource allocation and security strategies for cooperative relaying systems proposed here provide significant performance improvements along with robust security features over traditional methods. The method improves throughput, energy efficiency and secrecy capacity by dynamically provisioning resources according to real-time network conditions in conjunction with its interference-suppression techniques such adaptive beamforming and artificial noise. The system is quite good at preventing eavesdropping, and it has such high signal-to-noise ratios that there is a very low error rate. The use case results show that the integrated framework optimizes resource consumption while mitigating security threats, thereby offering a trade-off between existing solutions thus solving some of their shortcomings. Our work demonstrates the opportunity for efficient and secure communication in dynamic environments. © 2024 IEEE.

关键词： Energy efficiency

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