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Innovative Motion Sensing System with Labview 14th

Innovative Motion Sensing System with Labview

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14th EAI International conference on Broadband Communications, Networks, and systems, BROADNETS 2024

作者： Vidyadhar, R. Phani Ravindra, J.V.R. Kumar, G. A. E. Satish Sandeep, Yanigandla Ashwitha, Kanugula Mantri, Devansh Vishvakumari, Faldu Department of ECE Vardhaman College of Engineering Telangana Hyderabad India RK University Gujarat Rajkot India

ISBN: (纸本)9783031811678

Nowadays children’s used to play and going near restricted areas like transformers and borewells due to that they are getting affected by such incidents ensure that we are performing a system called Innovative Motion Sensing with LabVIEW. this system will be built to instantly detect motion and send alerts or initiate actions according to the motion. LabVIEW software will be used for terminating this project. this Motion Detection System can be used for automotive safety in addition to restricted locations. the system’s primary objective will be to detect motion in real time and send out notifications or start events according to the motion. Several motion situations will be used to test and evaluate the system, including performance measures like accuracy and detection, different motion situations will be used to test and validate the system, and performance metrics including accuracy and detection time will be assessed. In this project, a GSM module is utilized to communicate with a nearby CELL Tower and transmit the message to a mobile device. Intelligent Motion Detection System for effectively identifying movement or motion inside a predetermined area and prompt timely replies or actions. With the help of this system, security, monitoring, and automation are all intended to be improved in a number of applications, and motion-related events will be handled proactively. © ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering 2025.

关键词： Motion sensors

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An Enhanced Keylogger Detection systems Using Recurrent Neural Networks Enabled with Feature Selection Model 7th

An Enhanced Keylogger Detection Systems Using Recurrent Neur...

引用

7th International conference on Communication, Device and Networking, ICCDN 2024

作者： Awotunde, Joseph Bamidele Sur, Samarendra Nath Imoize, Agbotiname Lucky Rodríguez, Demóstenes Zegarra Akanji, Boluwatife Department of Computer Science Faculty of Information and Communication Sciences University of Ilorin Kwara State Ilorin240003 Nigeria Department of Electronics and Communication Engineering Sikkim Manipal Institute of Technology Sikkim Manipal University Sikkim India Department of Electrical and Electronics Engineering Faculty of Engineering University of Lagos Akoka Lagos 100213 Nigeria Department of Electrical Engineering and Information Technology Institute of Digital Communication Ruhr University Bochum44801 Germany Department of Computer Science Federal University of Lavras Minas Gerais Lavras Brazil

ISBN: (纸本)9789819764648

Keyloggers are malicious software programs that record keystrokes of users without their consent or knowledge. they can steal sensitive information like credit card numbers and passwords. they pose a significant threat to users’ privacy and security since they capture keystroke data. Keylogger detection systems play a vital role in safeguarding users from cyberattacks and mitigating the potential harm caused by keyloggers. Keylogger detection systems employing deep learning have been widely used for identifying and mitigating cyber threats associated with keyloggers. However, they struggle to identify new or unfamiliar keylogger samples. this study aims to explore deep learning techniques with feature selection model to detect keylogger. this study employs Recurrent Neural Networks (RNNs) using a collection of known keylogger dataset. Furthermore, a correlation-based feature extraction method was applied to identify the most relevant features for the model, highlighting the importance of specific features, such as URG flag Count, ACK flag count, and Idle Mean, in differentiating between benign and keylog classes. the proposed model demonstrates superior accuracy of 0.8763 and precision of 0.8569 compared to a baseline model using Logistic Regression (LR) 0.7721 and 0.7407, respectively, indicating a better balance between accurate classification and minimizing false negatives and false positives. the findings from this study help to improve keylogger detection methods, making them more powerful and efficient. these results suggest that a keylogger-based detection system employing a deep learning approach can be a valuable tool for addressing the complex and evolving landscape of cyber threats related to keylogging. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Recurrent neural networks

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Design of QV-Band Rotating Joint Apply in Satellite Communication System

Design of QV-Band Rotating Joint Apply in Satellite Communic...

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Power Electronics, computer Applications (ICPECA), IEEE International conference on

作者： Yuchen Zhang Yang Zheng Yuhuan Zhang Shijie Liu Shangrong Ouyang Nanjing University of Aeronautics and Astronautics Nanjing China Shanghai Electro-Mechanical Engineering Institute Shanghai China Shanghai Aerospace Electronic Technology Institute Shanghai China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

the rotating joint is an important part of the mechanical scanning antenna, which ensures the effective transmission of electromagnetic wave signals during the rotation of the antenna. In this paper, the foundational principles and methodologies underpinning the design of a QV-band rotary joint for satellite communication systems are delineated. Furthermore, the electrical characteristics of the rotary joint have been meticulously modeled and simulated utilizing HFSS software. Concurrently, the processing of an actual joint has been undertaken. the test results show that the insertion loss of rotary joint in QV-band is less than 0.4dB and the VSWR is less than 1.4, which meets the technical requirements and the application requirements of the system.

关键词： Technical requirements Design methodology Transmitting antennas Electromagnetic scattering Machining Insertion loss software Power electronics Performance analysis Satellite communications

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Research on the Collaborative Mechanism of P4Runtime and SAI in White Box Switches Based on the SONiC System

Research on the Collaborative Mechanism of P4Runtime and SAI...

引用

Power Electronics, computer Applications (ICPECA), IEEE International conference on

作者： Zhuyu Pan Hongchao Wang Chen Yan Zishi Zhang School of Electronic and Information Engineering Beijing Jiaotong University Beijing China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

With the advancement of software-Defined Networking (SDN) technology, network programmability and flexibility have been significantly enhanced. However, effectively integrating traditional network systems with emerging programmable platforms remains a critical research challenge. this paper proposes a fusion architecture based on the P4Runtime protocol to achieve deep integration of SONiC white box switches and the P4 platform. By introducing SDN programmability, we design and implement a hybrid model that enables traditional network architectures to achieve advanced functionalities with the assistance of external SDN controllers. this paper provides a detailed discussion of the architecture design and implementation process, including P4 code development, compilation, target configuration file generation, and interaction mechanisms between the control plane and the data plane. Furthermore, we validate the applicability and performance of the architecture in various scenarios, offering robust support for future research and applications in programmable networks.

关键词： Protocols Process control computer architecture Switches Network architecture Programming Control systems Power electronics software defined networking Glass box

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Research and Design of an Intelligent Connected Sensor Training Platform

Research and Design of an Intelligent Connected Sensor Train...

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Sensors and Information Technology (ICSI), International conference on

作者： Lanlan Li Yongkui Zhu Jiajia Li Ting Zhang Nanchong Vocational College of Science and Technology Nanchong Sichuan China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

this paper addresses the issues of limited functionality and insufficient scalability in intelligent connected vehicle sensor training equipment within vocational education. A sensor training platform is designed, integrating traditional and intelligent sensors, which is applicable for competitions, teaching, innovation, and research. the platform utilizes the STM32 embedded system as the main control core, combined with LabVIEW upper computer software, to construct a multi-modal data acquisition, high-precision environmental perception, and intelligent processing system. through modular hardware design, optimization of the embedded real-time system, and LabVIEW interactive design, the platform not only meets the needs of basic teaching but also supports innovative practices in engineering fields such as intelligent connected vehicles. It provides technical support for the integration of theory and practice in vocational education.

关键词： Training Technological innovation Connected vehicles three-dimensional displays Scalability Robot sensing systems Real-time systems Hardware software Design optimization

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Scalable and Low-Cost Remote Lab Platforms: Teaching Industrial Robotics Using Open-Source Tools and Understanding Its Social Implications 16th

Scalable and Low-Cost Remote Lab Platforms: Teaching Indust...

引用

16th International conference on Social Robotics, ICSR + AI 2024

作者： Kumar, Amit Jose, Jaison Jain, Archit Kulkarni, Siddharth Arya, Kavi Centre for Systems and Control Indian Institute of Technology Bombay Mumbai India Embedded Real-Time Systems / e-Yantra Lab Indian Institute of Technology Bombay Mumbai India Computer Science and Engineering Department Indian Institute of Technology Bombay Mumbai India

ISBN: (纸本)9789819635214

With recent advancements in industrial robots, educating students in new technologies and preparing them for the future is imperative. However, access to industrial robots for teaching poses challenges, such as the high cost of acquiring these robots, the safety of the operator and the robot, and complicated training material. this paper proposes two low-cost platforms built using open-source tools like Robot Operating System (ROS) and its latest version ROS 2 to help students learn and test algorithms on remotely connected industrial robots. Universal Robotics (UR5) arm and a custom mobile rover were deployed in different life-size testbeds, a greenhouse, and a warehouse to create an Autonomous Agricultural Harvester System (AAHS) and an Autonomous Warehouse Management System (AWMS). these platforms were deployed for a period of 7 months and were tested for their efficacy with 1,433 and 1,312 students, respectively. the hardware used in AAHS and AWMS was controlled remotely for 160 and 355 hours, respectively, by students over a period of 3 months. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Costs

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Security Function for 5G-Advanced and 6G: Malicious UE Detection in Network Slicing 25th

Security Function for 5G-Advanced and 6G: Malicious UE Det...

引用

25th International conference on Information Security Applications, WISA 2024

作者： Park, Jaehyoung Kim, Jihye Lee, Jong-Hyouk Department of Computer and Information Security and Convergence Engineering for Intelligent Drone Sejong University Seoul05006 Korea Republic of Department of Computer and Information Security Sejong University Seoul05006 Korea Republic of

ISBN: (纸本)9789819616237

Starting with software Defined Networking (SDN) and Network Functions Virtualization (NFV) technologies, network slicing is emerging as a critical technology in 5G-Advanced and 6G mobile communications to allocate logical networks end-to-end, meeting diverse service requirements. However, the advent of network slicing introduces new security threats, including inter-slice security, intra-slice security, and lifecycle security of network slicing. While recent research has focused on security orchestration technologies using SDN/NFV for network slicing and AI-based attack detection, there remains a gap in research on security by design within the components of 3GPP 5G systems. therefore, this paper investigates security by design in the 5G-Advanced and 6G architectures. To address these issues, we propose a malicious User Equipment (UE) detection function to identify attacks within the network-slicing environment. We illustrate the interaction between the detection function and other 3GPP 5G system components for network slicing security with its algorithm for detecting malicious UEs in network slices. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Malicious UE Network Slicing Security by Design

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Compact Myocardial Infarction Classification for 3-lead ECG-Based Temporal Convolution with Encoder-Decoder Network 13

Compact Myocardial Infarction Classification for 3-lead ECG-...

引用

13th International Winter conference on Brain-computer Interface, BCI 2025

作者： Kim, Ray Choi, Insung Kim, Gyung Chul Song, Hee Seok Lee, Minji Kim, Yun Kwan Dept. of Technology Development Seers Technology Co. Ltd. Seongnam Korea Republic of Dept. of Biomedical Software Engineering The Catholic University of Korea Bucheon Korea Republic of

ISBN: (纸本)9798331521929

Myocardial infarction is one of the leading causes of death worldwide, and early detection is crucial for improving patient outcomes. However, while standard 12-lead electrocardiogram are effective for diagnosis, their complexity and extensive electrode setup can limit their practicality in certain clinical settings. To overcome these limitations, this study utilizes 3-lead ECG data collected from leads V1, V3, and V5. Building upon this, we propose a deep learning model that combines temporal convolutional networks with an encoder-decoder convolutional neural network featuring skip connections to classify myocardial infarction. Specifically, each lead is independently processed through dedicated temporal convolutional network blocks to capture temporal patterns, followed by an encoder-decoder convolutional neural network for spatial feature learning. When evaluated on the Physikalisch-Technische Bundesanstalt diagnostic electrocardiogram database, our model demonstrated high performance, achieving an F1-score of 0.955 and a sensitivity of 0.978, yielding results that are comparable to or exceed those of models based on 6 or 12-lead ECG configurations. By reducing the number of leads, this approach simplifies data acquisition and improves convenience for both patients and medical professionals, while also enhancing suitability for portable and wearable devices. © 2025 IEEE.

关键词： Convolutional neural networks

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the Effects of Different Mesh Sizes on a Cellular Automata-Based Hydrological Model 4th

The Effects of Different Mesh Sizes on a Cellular Automat...

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4th International conference on Numerical Computations: theory and Algorithms, NUMTA 2023

作者： Furnari, Luca Senatore, Alfonso Department of Environmental Engineering University of Calabria Rende Ponte Pietro Bucci87036 Italy

ISBN: (纸本)9783031812439

the application and development of Integrated Surface Subsurface Hydrological Models (ISSHMs) have grown in the last few decades thanks to the advent of High-Performance Computing (HPC) infrastructures, the Big Data availability and the increasing capacity to represent several hydrological processes at the same time. Here we investigate how the mesh size affects the results of a new ISSHM based on the Cellular Automata (CA) paradigm, named HydroCAL, implemented through the OpenCAL scientific software library, which is able to exploit multi/many-core systems. the model is based on the coupling between a 3D variably saturated subsurface flow module and a 2D surface routing module. the model was tested reconstructing a single multi-peak flow event in a small headwater catchment (7 km2). Two different resolutions of the computational mesh were considered, i.e. 20 m and 5 m, with different computational requirements. the results highlight the capability of HydroCAL to reproduce streamflow correctly in a reasonable computing time. Moreover, adopting a high-performance parallel environment reduces the computational efforts required by a more finer grid. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Mesh generation

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theoretical Characterization of the Electro-optical Properties of New Molecules for OLED Devices

Theoretical Characterization of the Electro-optical Properti...

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Innovative Research in Applied Science, engineering and Technology (IRASET),conference on

作者： Imane El Mhamedi Zakariae El Madani Abdelhafid Yahya Zakaria El Malki Materials and Systems Control (MMSC) Computer Engineering and Intelligent Electrical Systems (2ISEI) Laboratory High School of Technology (ESTM) University Moulay Ismail Meknes Morocco

ISBN: (数字)9798331532970

ISBN: (纸本)9798331532987

this study focuses on the exploration of five novel π-conjugated organic compounds for potential incorporation into organic light-emitting diodes (OLEDs). the molecular structure of these compounds follows a D-Di-D setup, with a carbazole acting as the D component, and the specific Di component varying based on the donor utilized. through analysis at the DFT/B3LYP/6-31G (d, p) level, including the determination of HOMO–LUMO energy values, after optimizing the molecules' ground state, the frontier molecular orbital (FMO) was studied using Egap band gap. Utilizing the TD-DFT and ZINDO method the optical properties like absorption (λmax) and emission (λem) were explored. Based on SILVACO-TCAD software, the estimated current-voltage (I-V) characteristics of the two most efficient molecules were obtained. the indices of the studied molecules calculated from these interactions indicates that the molecules have sufficient properties which allow these molecules to be considered promising candidates for use in OLED devices as high-performing active materials.

关键词： Photonic band gap Absorption Stimulated emission Stationary state Organic light emitting diodes Market research software Orbits Optical devices Organic compounds

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