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检索条件"任意字段=2nd International Conference on Computer Communications Control Technology"

共 23677 条记录，以下是81-90 订阅

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Recognition and control of a Chinese Pinyin Sign Language Robot via a Cognitive Robotics Approach 2nd

Recognition and Control of a Chinese Pinyin Sign Language Ro...

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2nd international conference on Intelligent Manufacturing and Robotics, ICIMR 2024

作者： Cui, Hanzhang Luo, Yang Zhang, Fan School of Robotics Xi’an Jiaotong-Liverpool University Suzhou215213 China School of Intelligent Manufacturing Ecosystem Xi’an Jiaotong-Liverpool University Suzhou215213 China

ISBN: (纸本)9789819639489

Technological advancements in AI and Robotics are facilitating the development of sign language robots, which are resolving communication barriers for people living with disabilities. The current work aims to develop a sign language robot that mimics how human communicate in Chinese Sign Language. Two primary developments are presented in this paper, namely the real-time translation of sign language and the movement production of a simulated dexterous hand. Real-time translation was performed using computer vision and deep learning techniques, and the movement production of a dexterous hand to represent the sign language gestures implemented forward kinematics. The robot vision system can detect and tracking human hand, allowing real-time highly accurate recognition of hand positions and shapes. Employing the VGG16 architecture and customised training dataset, it was further developed to identify sign language gestures, achieving an accuracy rate of 80% between ambiguities. The simulation of a bionic dexterous hand was realised in MATLAB Simulink. The simulated bionic dexterous hand can provide real-time feedback on displacement data and adjusting input signals for enhanced control. The two developments of the current work could be easily integrated and prototyped as robotic hand which could behave on par with human-like communications via sign languages beyond Chinese Pinyin. It could also lead to the development of better human-robot interaction systems for people living with hard-of-hearing disabilities. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Deep learning

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FIDO-Based Access control Mechanism in Named Data Networking 2nd

FIDO-Based Access Control Mechanism in Named Data Networking

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2nd international conference on Security and Information Technologies with AI, Internet Computing and Big-data Applications, SITAIBA 2023

作者： Chen, Yeong-Sheng Chien, Wei-Cheng Department of Computer Science National Taipei University of Education Taipei Taiwan

ISBN: (纸本)9789819777853

In contrast to the conventional IP-based architecture, Named Data Networking (ndN) provides a content-centric, secure, efficient, and scalable network approach, making it suitable for various applications such as content delivery and data dissemination. However, in ndN, the information carried in the Interest packets includes only essential data names, which enhances privacy and security but complicates the identification of the client requester. This study introduces an access control mechanism incorporating FIDO U2F devices for user authentication and replacing the original client names with IDs to enhance privacy protection. The proposed framework empowers the Access controller to verify the source of Interest packets, thereby determining whether the client has the authorization to access the data. We compare and analyze the authentication mechanisms of the proposed architecture with other access control architectures. Our findings show that the proposed architecture has more flexible permission settings and can effectively protect clients’ identity privacy. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Differential privacy

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Real-Time Monitoring and control Systems Using IoT in Vertical Farming 2nd

Real-Time Monitoring and Control Systems Using IoT in Vertic...

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2nd international conference on Cyber Intelligence and Information Retrieval, CIIR 2023

作者： Vijay, Richa Singh, Anupam Kumar, Raj Singh, Ramveer Khan, Rubina Liyakat Ather, Danish Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura India Department of Computer Science and Engineering Graphic era hill University Dehradun India Faridabad India Department of CSE Galgotias College of Engineering and Technology Greater Noida India The Applied College. Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia Amity University in Tashkent Tashkent Uzbekistan

ISBN: (纸本)9789819776023

In the burgeoning field of vertical farming, real-time monitoring and control systems have become pivotal for optimizing growth conditions and resource utilization. This paper details the design, construction, and implementation of a sophisticated real-time control system using the Arduino Uno as the central microcontroller. The system incorporates a Squirrel Cage Blower (12 V) for ventilation, a Submersible Pool Water Pump (240L/H) for water management, and a SparkFun TMP102 digital temperature sensor for accurate climate control. Powering requirements are handled by a 12VDC 2A Wall Adapter, and an N-Channel MOSFET 60 V 30A with a 10 K Ohm Resistor ensures precise voltage regulation. Data visualization is facilitated by a Monochrome 128 × 32 I2C OLED graphic display, while the ESP8266-01 Wifi Module provides remote accessibility to the system. The Bi-Directional Logic Level Converter ensures smooth communication between components operating at different voltage levels. Soil moisture is continually assessed by a soil moisture sensor, allowing for intelligent irrigation. These components are integrated on a BreadBoard using Jumper Wires, Male Headers, and a USB Cable A to B, creating a modular and scalable system. This paper offers an in-depth analysis of the system's functionality, efficacy, and implications for modern agriculture, showcasing a cost-effective and highly adaptable solution for implementing IoT in vertical farming. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Soil moisture

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Adaptive Queue Dynamics (AQD): A Novel Scheduling Algorithm for Response Time Minimization in Baseband Unit (BBU) Systems 2nd

Adaptive Queue Dynamics (AQD): A Novel Scheduling Algorithm ...

引用

2nd international conference on Cyber Intelligence and Information Retrieval, CIIR 2023

作者： Malviya, Abhishek Pandey, Sudhakar Tiwari, Amit Kumar Department of Information Technology NIT-Raipur Chattisgarh Raipur492010 India Department of Computer Science and Engineering United Institute of Technology Uttar Pradesh Prayagraj211010 India

ISBN: (纸本)9789819776023

In the complex world of modern telecommunication networks, Baseband Unit (BBU) pools play a crucial role in optimizing data processing and minimizing response time. This paper presents the Adaptive Queue Dynamics (AQD) scheduling algorithm, a cutting-edge approach specifically tailored for BBU systems. By combining traditional queuing principles with a feedback control mechanism, AQD allows for real-time adaptation to changing network conditions. Through constant monitoring of important system metrics and the use of a real-time feedback loop, AQD is able to intelligently adapt queuing parameters for optimal scheduling. With its ability to dynamically tune and continuously adapt parameters, AQD stands out by enabling the system to swiftly respond to unexpected events or sudden changes, ensuring minimal response time. Mathematical modeling and extensive simulations confirm the effectiveness of AQD in achieving this objective when compared to traditional methods. The AQD approach represents a significant leap forward in telecommunication network efficiency, providing a strong and adaptable solution designed for the demands of modern BBU systems. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Scheduling algorithms

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2nd international conference on Bridging the Gap Between AI and Reality, AISoLA 2024

2nd International Conference on Bridging the Gap Between AI ...

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2nd international conference on Bridging the Gap Between AI and Reality, AISoLA 2024

ISBN: (纸本)9783031754333

The proceedings contain 28 papers. The special focus in this conference is on Bridging the Gap Between AI and Reality. The topics include: Responsible and Trusted AI: An Interdisciplinary Perspective;team Design Patterns for Meaningful Human control in Responsible Military Artificial Intelligence;transparent Transparency Developing a Scheme for Understanding Transparency Requirements;AI Act for the Working Programmer;AI Assisted Programming: (AISoLA 2024 Track Introduction);SEGym: Optimizing Large Language Model Assisted Software Engineering Agents with Reinforcement Learning;Towards Specification-Driven LLM-Based Generation of Embedded Automotive Software;proof Repair Utilizing Large Language Models: A Case Study on the Copland Remote Attestation Proofbase;LLM-Based Scheme for Synthesis of Formal Verification Algorithms;verification and Learning for Assured Autonomy;a Comparison of Monitoring Techniques for Deep Neural Networks;efficient Shield Synthesis via State-Space Transformation;Runtime Verification and AI: Addressing Pragmatic Regulatory Challenges;A Game-Based Semantics for the Probabilistic Intermediate Verification Language HeyVL;Systematic Translation from Natural Language Robot Task Descriptions to STL;it’s Safe to Play While Driving: From a Spatial Traffic Logic Towards Traffic Games;monitoring Safety and Reliability of Underwater Robots: A Case Study;statistical Model Checking the 2024 Edition!;Reinforcement Learning for Discretized Euclidean MDPs;adaptive Stopping Algorithms Based on Concentration Inequalities;digging for Decision Trees: A Case Study in Strategy Sampling and Learning;statistical Analysis of the Impact of Bit-Flips in Security Critical Code;statistical Model Checking of Python Agent-Based Models: An Integration of MultiVeStA and Mesa;On SMC-Based Dependability Analysis in LoLiPoP-IoT Project;Towards Verifying Robotic Systems Using Statistical Model Checking in STORM.

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Enabling Cursor control Through Eye Movement Using Hidden Markov Model 2nd

Enabling Cursor Control Through Eye Movement Using Hidden Ma...

引用

2nd international conference on Data Science and Network Engineering, ICDSNE 2024

作者： Tanusha, G. Havirbhavi, P. Ashwini, K. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India

ISBN: (纸本)9789819783359

First and foremost, we present a novel scheme for controlling the cursor based on eye movement. Other strategies rely on physical items like touchpads or a mouse and place strict requirements on people with motor handicaps. Our solution connects digital interaction with human visual attention through eye-tracking technology. We examine the nuanced gaze patterns that develop, allowing for cursor control while also developing a sense of interaction context. Gaze data is transformed by our method into the motion of a cursor. It is highly accurate and adjustable. Cursor motions are generated based on the gaze movement pattern, making the interface more dynamically accurate and more tailored to individual behaviors. The context-aware interface maximizes efficiency through its adaptability as it learns and adopts the behaviors. In addition, our research introduces a novel scheme through the use of software tools to offer an eye-controlled mouse system. This system accurately recognizes facial features and interprets eye movements through image processing techniques. The system enables intuitive cursor control by interpreting observable eye movements. Transforming eye motions into a cursor's actions, it enhances user accessibility and hands-free interaction;in other words, its performance is captured in the experimental analysis. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Eye movements

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UltraCommander: Ultrasonic Side Channel Attack via Browser Extensions 2nd

UltraCommander: Ultrasonic Side Channel Attack via Browser ...

引用

2nd international conference on Data Security and Privacy Protection, DSPP 2024

作者： Duan, Yingli Meng, Weizhi Chiu, Wei-Yang SPTAGE Lab Technical University of Denmark Kgs. Lyngby2800 Denmark School of Computing and Communications Lancaster University Lancaster United Kingdom

ISBN: (纸本)9789819785391

Ultrasound, imperceptible to the human ear, emerges as a potent carrier of information. Exploiting its covert nature, a growing number of both malicious entities and researchers delve into its potential privacy threats. Simultaneously, the surge in Browser Extensions, prized for their streamlined access to privileged browser resources, adds a layer of convenience while raising a big concern. This work introduces UltraCommander, a kind of cyber attack that leverages ultrasonic channel communication. In particular, UltraCommander covertly monitors user private data based on attacker-specified commands, facilitating surreptitious data transmission to the attacker. We then intricately detail the implementation of this attack and showcase its imperceptible nature. Our research underscores the successful exfiltration of private data through Chrome APIs, with future prospects extending to capturing additional information, such as SMS data, from browsers. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Side channel attack

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Leveraging EfficientNetB4 Model with Multi-head Attentions for Maize Leaf Disease Detection 2nd

Leveraging EfficientNetB4 Model with Multi-head Attentions ...

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2nd international conference on Applied Algorithms, ICAA 2025

作者： Reddiar, Nallamilli Eswar Venkata Vikranth, Pilla Veera Satya Sai Kumar, Teerdhala Siddartha, Thota Rayvanth, N. Singh, Rimjhim Padam Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9783031845420

Smart agriculture mainly stresses the improvements in early plant disease diagnostics, crop classification and management, and effective pest control. Maize being an important staple crop necessitates early and accurate disease detection on its leaves. Hence, this paper proposes a novel Convolutional neural network model based on EfficientNet-B4 model and multi-head attention for the effective classification of maize leaf diseases. The proposed model focuses on early-stage disease patterns with the help of a large amount of data. Compared to other architectures, it attains an outstanding F1-score of 96.75%. The proposed system not only helps farmers to get timely diagnosis but also offers them useful information to mitigate risks and improve production. This study benefits agricultural resilience, food security and farmer’s welfare. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Insect control

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Feasibility Analysis Study on Constructing a Grid Intrusion Detection System Using Semi-supervised Learning Models 2nd

Feasibility Analysis Study on Constructing a Grid Intrusion ...

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2nd international conference on Security and Information Technologies with AI, Internet Computing and Big-data Applications, SITAIBA 2023

作者： Tsai, Chia-Wei Lin, Jason Yang, Chun-Wei Loo, Fu-Nie Department of Computer Science and Information Engineering National Taichung University of Science and Technology No.129 Sec.3 Sanmin Rd North District Taichung404 Taiwan Department of Computer Science and Engineering National Chung Hsing University No. 145 Xingda Rd. South District Taichung40227 Taiwan Master Program for Digital Health Innovation China Medical University No. 100 Sec. 1 Jingmao Rd. Beitun Dist. Taichung406040 Taiwan

ISBN: (纸本)9789819777853

In recent years, due to the proliferation of information and communication technology, as well as AI technology, industrial control systems, which were once in a closed network environment, have also integrated related technologies and gradually connected to external networks. Although this can enhance the efficiency of industrial production, it greatly increases the information security threats to industrial control systems. Among them, the information security issues of critical infrastructures are a key issue. If these critical infrastructures are attacked by cyber hackers, it could pose threats that jeopardize the safety of the general population. In light of this, this study focuses on the critical infrastructure of the power grid, proposing a semi-supervised intrusion detection system (IDS) technology by using the one-class classification. It analyzes data from the electricity distribution system to assess whether the system has been attacked. This research employs a power grid dataset to train the proposed model and execute the experiments. The experimental results demonstrate the feasibility of the proposed method. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Network intrusion

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Privacy-Preserving Covert Channels in VoLTE via Inter-Frame Delay Modulation 1

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2nd international conference on Artificial Intelligence Security and Privacy, AIS and P 2024

作者： Wu, Xiaokai sun, Xuan Huang, Jiaxin Shi, Ning Liang, Chen Computer School Beijing Information Science and Technology University Beijing100192 China China Southern Airlines Co. Ltd. Guangdong Guangzhou510000 China Hebei Key Laboratory of IoT Blockchain Integration Shijiazhuang China

ISBN: (数字)9789819611485

ISBN: (纸本)9789819611478

The rapid advancement of artificial intelligence and mobile communication technologies has brought unprecedented convenience, but also significant privacy and security concerns, particularly in real-time video communications, such as deepfake. Several researchers have investigated multiple security measures, with Covert Timing Channels (CTCs) emerging as a promising technique for secure information transmission, yet most of them suffer from low transmission efficiency, limiting their real-time responsiveness and network adaptability, making them inadequate for high-capacity covert information transmission. To address this limitation, this paper proposes a novel CTC scheme that modulates the Inter-Frame Delay (IFD) between audio and video frames during VoLTE(Voice over LTE) video calls to transmit covert information. Furthermore, to maintain the undetectability of the channel, a fitting algorithm is used to ensure that the cumulative distribution function (CDF) of the IFD of covert traffic aligns with that of legitimate traffic. The design also incorporates an embedding factor that allows communicating parties to dynamically adjust network parameters, balancing robustness, transmission efficiency, and undetectability. Experimental results demonstrate that, compared to existing methods, the proposed IFDCTC scheme achieves higher transmission efficiency, with a peak transmission rate of up to 30 bps, while maintaining acceptable bit error rates and strong undetectability. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Distribution functions

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