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检索条件"任意字段=4th International Conference on Signal Processing and Computer Science, SPCS 2023"

共 2398 条记录，以下是71-80 订阅

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Numerical Optimization and Performance Evaluation of Lead-Free BaZrS3-Based Perovskite Solar Cells with Consideration of Structural and Operating Parameters

Numerical Optimization and Performance Evaluation of Lead-Fr...

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international conference on Robotics,Electrical and signal processing Techniques (ICREST)

作者： Asadul Islam Shimul Md Maruf Hossain Swarna Rani Sarker Atiq Shahriare Shakidul Alam Safia Aktar Dipa Department of Electrical and Electronic Engineering Bangabandhu Sheikh Mujibur Rahman Science and Technology University Gopalganj Bangladesh Department of Electrical Engineering and Computer Science University of Missouri-Columbia MO USA

ISBN: (数字)9798331530952

ISBN: (纸本)9798331530969

Lead-free BaZrS3 is considered a highly promising substitute for lead-based halide perovskites. this research involved designing and simulating a perovskite solar cell using the Glass/ITO/ZnO/BaZrS 3 /Cu 2 O/Ni structure. Zirconium halide perovskite was employed to address lead halides' stability and toxicity issues. the solar cell's performance was evaluated using the one-dimensional simulation program SCAPS-1D. the analysis focused on essential parameters such as absorber thickness, absorber defect density, hole transport layer (HTL) thickness, HTL acceptor density, electron transport layer (ETL) thickness, ETL donor density, and operating temperature. At a current density (JSC) of 21.49 mA/cm 2 , an open-circuit voltage (VOC) of 1.37 V, and a fill factor (FF) of 89.98%, the results indicate a maximum efficiency of 26.53%. these results establish the possibility of creating ecologically sustainable and highly effective PSCs using barium zirconium sulfide (BaZ $r$ S3).

关键词： Zirconium Barium Photovoltaic cells Voltage Lead Perovskites Stability analysis thermal stability Optimization Numerical stability

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Design and Development of a Peltier Cooling System for Photovoltaic thermal Management Using Simulation Tools

Design and Development of a Peltier Cooling System for Photo...

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international conference on Robotics,Electrical and signal processing Techniques (ICREST)

作者： Moslema Hoque Oeishee Munyem Ahammad Muyeed Md. Rejoan Mehedi Ramisa Sharar Nidhi Electrical and Electronic Engineering Department Brac University Dhaka Bangladesh Computer Science and Engineering Department Brac University Dhaka Bangladesh

ISBN: (数字)9798331530952

ISBN: (纸本)9798331530969

Mitigating the adverse effect of high temperature on photovoltaic (PV) module's efficiency in hot environment by using a thermoelectric cooling (TEC) method with PV through a detailed analysis, is the pivot objective of this paper. this research evaluates the Peltier module's effect on the power output and temperature of the PV modules in different ambient situations for the active cooling mode of the Peltier module. We utilized PVsyst and MATLAB (for initial circuit designs), as the simulation tools to analyze the performance ratio (PR) and thermal loss factor of the PV system for both with and without cooling conditions. Moreover, under an ambient temperature of 25.2°C, our developed TEC system enhances the PV module's performance ratio ranging from 83.42% to 85.8%, while the thermal loss factor is decreased ranging from −10.36% to −6.7%. these findings indicate that controlled cooling is capable of considerably improving PV performance, resulting in significant energy output rise. In addition to creating new paths to achieve more effective and sustainable energy production, this study demonstrates the way TEC systems might enhance solar energy systems, specifically in hot environments.

关键词： Temperature distribution Cooling Software packages Solar energy thermal management Distance measurement thermal analysis Solar panels MATLAB Robots

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Collaborative Design for Integrated Sensing and Communications Receiver with Imperfect CSI 4th

Collaborative Design for Integrated Sensing and Communicat...

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4th international conference on computer and Communication Engineering, CCCE 2024

作者： Dong, Yuxiang Wei, Jinfeng Nie, Sixuan Gong, Shanshan Sun, Jia Cui, Xing China North Artificial Intelligence and Innovation Research Institute Collective Intelligence and Collaboration Laboratory Fengtai District No.4 yd Huaishuling Beijing100072 China

ISBN: (纸本)9783031710780

this paper delves into the collaborative design of receivers in integrated sensing and communication (ISAC) systems with imperfect communication channel state information (CSI). the ISAC systems involve the concurrent reception and processing of both communication and target echo signals, aiming for a harmonized performance in both functionalities. the imperfect communication CSI obtained at the BS is modeled as the sum of an accurately estimated part and a statistical error component with both channel mean and channel variance information. We introduce two distinct design strategies to address the joint sensing and communication challenge in signal processing at the receiver. the first strategy employs maximum likelihood (ML) detection, minimum mean squared error (MMSE) estimation, and interference cancellation (IC). the second strategy devises a custom MMSE estimator for target estimation, operating independently of the detector, forming a Non-IC design. Demonstrating that incorporating the structural information of the communication signal is crucial, our findings reveal that the Non-IC approach surpasses the IC method, achieving optimal performance. Numerical results are provided to validate the effectiveness of the proposed optimal designs. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Maximum likelihood estimation

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Silent Speech Interfaces: Non-Invasive Neuromuscular signal processing for Assistive Communication

Silent Speech Interfaces: Non-Invasive Neuromuscular Signal ...

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AI in Cybersecurity (ICAIC), international conference on

作者： Sallar Khan Khawaja Usman Ali Ali Raza Ali Qadri Maisam Rizvi School of Informatics and Cybersecurity Technological University Dublin Dublin Ireland Department of Computer Science & Information Technology Sir Syed University of Engineering and Technology Karachi Pakistan

ISBN: (数字)9798331518882

ISBN: (纸本)9798331518899

Our research demonstrates a discrete speech system that empowers those afflicted with speech impairments to convey ideas by internally articulating words without producing audible sound. this method harnesses the minimal movements involved in articulation, making it less arduous than conventional vocalization, especially for individuals facing communication challenges. Silent Speech Interfaces (SSIs) form the foundation of our research, enabling the decoding of neuromuscular signals associated with internal speech articulation to facilitate non-invasive and effective communication for individuals with speech impairments. this research entails the utilization of a multi-electrode configuration to capture subtle, low-voltage electrical signals positioned on the surface area of the subject’s neck. these signals emerge as a consequence of neural activation within the speech articulator muscles, signifying the internal articulation of words within the oral cavity, accompanied by minimal physical movement. Subsequent to signal acquisition, a comprehensive analysis of the data is conducted using a biosensing board (Cyton), facilitated by the implementation of the OpenBCI GUI interface and visualization via Python plotting tools.

关键词： Training Vocabulary Accuracy Neuromuscular Speech recognition Speech enhancement Biosensors Artificial intelligence Usability Standards

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Accelerating Traditional Object Detection Methods on Sophisticated Embedded Systems 4th

Accelerating Traditional Object Detection Methods on Sophis...

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4th international conference on Intelligent Systems and Pattern Recognition, ISPR 2024

作者： Sehairi, Kamal Bouhafs, Abdelkader Boucherit, Ibtissam Mama Bouwmans, thierry Chouireb, Fatima Department of Physics Laboratory of Applied Sciences and Didactics École Normale Supérieure de Laghouat Laghouat Algeria Department of Electronics Telecommunication Signals and Systems Laboratory University Amar Telidji of Laghouat Laghouat Algeria Department of Computer Science Lab. Mathématiques Image et Applications Université de La Rochelle La Rochelle France

ISBN: (纸本)9783031821523

Identifying and locating objects in images and videos, including elements like traffic signs, vehicles, buildings, and people, constitutes a fundamental and demanding task in computer vision, known as object detection. Due to the higher computing complexity of this technique and the large amount of data carried by the video signal, it is nearly impossible for ordinary general-purpose processors GPPs or CPUs to run these techniques in real-time, especially for embedded systems applications. therefore, special hardware that can acquire, control, or execute in parallel is required. these specialized hardware systems include Digital signal Processors DSPs, Field Programmable Gate Arrays FPGAs, Visual processing Units VPUs, Tensor processing Units TPUs, Neural processing Units NPUs or Graphics processing Units GPUs. this work presents the benefits of accelerating traditional object detection methods on a high-end embedded system, the Jetson Nano Developer Kit. this single computer board is equipped with the Tegra K1 System on Chip SoC, which is composed of a quad-core ARM A15 and 192 cores of Kepler-embedded GPU. Computing acceleration was ensured via the use of the CUDA OpenCV library for both the Histogram of Oriented Gradients HOG and the Haar Cascade Classifier. For VGA resolution, results reveal that the GPU implementation on this embedded system is 1.4× faster than the CPU for the HOG method and 2× for the Haar Cascade Classifier method. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： System-on-chip

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Enhancing Microgrid Energy Security through Optimal Power Sharing in Multi-Modal Energy Storage Systems

Enhancing Microgrid Energy Security Through Optimal Power Sh...

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international conference on Robotics,Electrical and signal processing Techniques (ICREST)

作者： Shaikh Tawhidul Islam Anik Md Salman Khan Mithil Shameem Ahmad Md. Rifat Hazari Mahmoodul Islam Tofael Ahmed Md. Shahariar Parvez Mahamudul Hassan Department of Electrical and Electronic Engineering Faculty of Engineering American International University-Bangladesh Dhaka Bangladesh Department of Electrical Engineering and Computer Science Electrical Engineering (MS) South Dakota School of Mines & Technology Rapid City SD United States Department of Electrical and Electronic Engineering Chittagong University of Engineering & Technology Chattogram Bangladesh Department of Industrial and Production Engineering Faculty of Engineering American International University-Bangladesh Dhaka Bangladesh

ISBN: (数字)9798331530952

ISBN: (纸本)9798331530969

Microgrids (MGs), which combine distributed energy resources (DERs) with energy storage systems (ESS), offer improved energy security, reliability and sustainability by utilizing renewable energy sources for subsequent use. However, single ESS options often face challenges such as short life cycles, low power density etc. More than one ESS can resolve the mentioned issues though it increases complexity and maintaining stability becomes an issue. this paper proposes an effective energy management strategy between two ESS namely battery and supercapacitor to increase energy security in MG. the proposed strategy is designed in such a way that one of the two ESS stays connected all the time to the DC bus to ensure uninterruptable power supply to loads. Due to the use of DC bus, the system complexity decreases as there is no need to control frequency. Two cases were considered to verify the performance of the proposed energy management strategy in Matlab/Simulink. In the first case, during the unavailability of supercapacitor, the battery supplies 50 W to the load in addition to PV whereas supercapacitor supplies 136 W in the absence of battery along with PV. Furthermore, it was shown that the absence of PV has no negative effect in terms of power flow by ESS to meet load demand.

关键词： Power supplies Heuristic algorithms signal processing algorithms Microgrids Supercapacitors Batteries Complexity theory Security Energy management Sustainable development

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False Data Injection Attack Prediction Using Federated Deep Learning Approach 4th

False Data Injection Attack Prediction Using Federated Deep ...

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4th international Research conference on Machine Learning, Deep Learning, and Blockchain, IRCICD 2023

作者： Mouli, K. Arun, P. Vaitheeswari, R. Sridhar, S. Department of CSE SRM Institute of Science and Technology Vadapalani Chennai India

ISBN: (纸本)9783031882364

A unique data-driven methodology for system state estimation against attacks from bogus data injection that cannot be observed is provided in this study. the proposed system continuously detects and classifies attacks involving false data injection. Using the knowledge that has been learned, the control signal is then retrieved. this method is carried out by three main modules that implement state-of-the-art detection categorization and retrieval of control signals. the detecting module keeps track of any deviation pattern brought on by a complicated plane strike by tracking historical phasor measurement changes. the direction, amount, and ratio of the fake data injection are among the assault elements revealed by this method. With the use of this knowledge, the signal recovery module can swiftly obtain the actual control signal and get rid of the false data that was purposefully added. the classifier module can be used to learn more details about the attack type. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Image reconstruction

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A Deep Learning Approach for Detecting Diabetic Retinopathy Using Fundus Images 4th

A Deep Learning Approach for Detecting Diabetic Retinopathy ...

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4th international conference on Internet of things, ICIoT 2023

作者： Mahalakshmi, V. Balachandra, Adithya Kanisha, B. Chidambaram, Kumarappan Department of Computer Science College of Computer Science and Information Technology Jazan University Jazan Saudi Arabia Department of Computing Technologies SRM Institute of Science and Technology Kattankulathur Chennai603203 India Department of Pharmacology and Toxicology College of Pharmacy King Khalid University Abha62529 Saudi Arabia

ISBN: (纸本)9783031856655

Diabetic Retinopathy (DR) is a serious complication of diabetes that affects the eyes and can lead to vision loss and blindness. the current diagnostic process for DR is a time-consuming procedure that first involves a dilated fundus examination by a trained ophthalmologist and then requires the ophthalmologist to examine fundus images manually. this study aims to address this issue by proposing a deep-learning model that automates this task by detecting the severity of Diabetic Retinopathy (DR) grades based on fundus images. the objective is to build a classification model that can classify images into one of the five DR grades of increasing severity. the research is developed in three steps, beginning with pre-processing the fundus images from the APTOS Blindness Detection 2019 dataset. the model architecture is then developed and the pre-processed images are used to train the deep-learning model. the model is then evaluated to determine its effectiveness in predicting DR severity and tuned accordingly. the results show that the proposed deep learning model is comparable to ophthalmologists in grading DR structures, demonstrating the potential for deep learning models to improve DR diagnosis and treatment outcomes. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： ATPOS Blindness Detection 2019 Deep Learning Diabetic Retinopathy DR diagnosis and treatment styling

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Aircraft Simulation in Game Development Using Reinforcement Learning

Aircraft Simulation in Game Development Using Reinforcement ...

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international conference on Robotics,Electrical and signal processing Techniques (ICREST)

作者： Md. Navid Redwan Talha Tonmoy Hassan Al Sabab Shaila Sharmin Mithila Syed Hasib Ahmed Department of Electrical and Computer Engineering North south University (NSU) Dhaka Bangladesh Department of Electrical and Electronics Engineering American International University-Bangladesh (AIUB) Bangladesh Dr. Anwarul Abedin Institute of Innovation (D2A2I) Dhaka Bangladesh Department of Computer Science and Engineering Leading University (LU) Sylhet Bangladesh

ISBN: (数字)9798331530952

ISBN: (纸本)9798331530969

the progress in technology has provided opportunities for innovative solutions to intricate challenges. One possible method is employing reinforcement learning to model flying trajectories in intricate environments. Game development is a discipline that involves intricate reasoning and dynamic interplay between the user and the game environment. By employing several gaming engines, developers are now able to replicate real-life situations through the implementation of diverse machine learning methods. Aircraft simulation in game creation using reinforcement learning involves creating a visual depiction of real-life settings where aircraft may navigate complex environments without direct input from a human user. Currently, reinforcement learning is not widely applied in game development, particularly in simulation-based path finding techniques. this algorithm approaches possess the efficacy and capacity to generate sophisticated neural networks capable of directing an agent to do certain tasks. the aim of this project is to create aircraft simulations for game development by utilizing reinforcement-learning techniques, so that it can provide a foundational idea of the usage of this algorithm in path-detection based decision-making techniques. the goal is to demonstrate the effectiveness of reinforcement learning in a real-world scenario, where the aircraft independently assesses and selects its flying trajectory. the system will undergo testing in three distinct phases, involving the utilization of Blender3D, Unity 3D, and Anaconda prompts. the results will then be compared using TensorFlow. Several training sessions will be conducted in various environments using the Anaconda environment to optimize the outcomes. In the latter stages of development, a dynamic user interface will be implemented to enhance the user's experience. the method is anticipated to produce 152% improved AI-trained data, which can be utilized for constructing extensive simulation and game-proj

关键词： Training Atmospheric modeling Neural networks Decision making Reinforcement learning Games Autonomous aerial vehicles Aircraft navigation Trajectory Aircraft

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Skin Tumor, Lipoma and Cyst Detection by Graphene Based on-Body Patch Antenna in L Band

Skin Tumor, Lipoma and Cyst Detection by Graphene Based on-B...

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international conference on Robotics,Electrical and signal processing Techniques (ICREST)

作者： Sumit Hassan Eshan Raja Rashidul Hasan Md Farukuzzaman Rinku Basak Md Shahadat Hossen Redowana Rumky Mohammad Abdullah Dewan Mohammad Tanim Department of EEE American International University-Bangladesh (AIUB) Dhaka Bangladesh Department of Electrical Engineering Gannon University Pennsylvania USA Bachelor of Medicine & Bachelor of Surgery (MBBS) Rajshahi Medical University Rajshahi Bangladesh Department of Computer Science Engineering Gannon University Pennsylvania USA Department of Cybersecurity Engineering Gannon University Pennsylvania USA

ISBN: (数字)9798331530952

ISBN: (纸本)9798331530969

Body-implanted antennae are a popular and costeffective approach to dragonize sickness promptly. Early detection of a medical condition makes treatment easier and may possibly save the patient's life. the primary purpose of this work is to develop an on-body patch antenna for biotelemetry. the largest organ is the skin, which covers the whole surface of the body. Skin problems have become more frequent all over the world in recent years. Nobody has ever lived a life without facing difficulty. the primary purpose of this study is to detect skin cysts, lipomas, and malignancies by identifying the S1,1 parameter of a microstrip patch antenna using cutting-edge materials such as graphene. Graphene is a recently discovered material with extremely high electrical conductivity and resistance. To achieve this, an on-body microstrip patch antenna was built utilizing four different types of skin disease models: normal skin, tumor-affected skin, lipoma-affected skin, and cyst-affected skin. the skin disease detection antenna was developed in the L-band (1.18 GHz). the antenna and four skin phantom models in the CST Studio Suite have been used to provide a range of outputs, including return loss, voltage standing wave ratio, far-field, and directivity. Return loss was found to be −33.3908 dB for a skin tumor, −33.3915 dB for skin lipoma, and −33.3876 for a skin cyst, compared to −33.3993 dB for normal skin. this antenna has a Specific Absorption Rate of 1.42 W/kg, making it bio compactable.

关键词： Patch antennas Graphene Resonant frequency Microstrip antennas Skin Specific absorption rate Microstrip Tumors Diseases Antenna radiation patterns

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