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Proceedings of the12th International Conference on Information Technology and its Applications, CITA 2023

作者： Huy, Nguyen Ba Anh, Pham Tuan The, Quan Trong Faculty of Control Systems and Robotics University ITMO St.Petersburg Russia Faculty of Software Engineering and Computer Systems University ITMO St.Petersburg Russia

ISBN: (纸本)9783031368851

The problem of signal processing is extracting the desired target speaker while suppressing the annoying background noise in complex recording situation, where exists third-party talker, transport vehicle or interference, noise. Speech quality or speech intelligibility are the major characteristics, which confirm the effectiveness of processed method. In speech applications, such as hearing-aids, hands-free telephony, teleconferencing, acoustic instruments, microphone array (MA) is applied for increasing the speech quality. MA uses the spatial response, the priori information about direction - of - arrival (DOA) of interest signal, the properties of recording environment to obtain speech components and remove noise. Generalized Sidelobe Canceller (GSC) is one of the most widely exploited in microphone array beamforming, due to its convenience and effective noise reduction. However, in several situations, the performance of GSC beamformer is often degraded, because of the imprecise DOA. In this paper, the authors suggested an additive spectral mask for improving the evaluation of GSC beamformer. The resulting experiment proves the received advantage of the author’s proposed algorithm to increase in the term of the signal-to-noise ratio (SNR). © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Signal to noise ratio

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SYSTEMS AND APPLICATION MANAGEMENT IN HYBRID CLOUD INFRASTRUCTURES

International Journal of Mechatronics and Applied Mechanics

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International Journal of Mechatronics and Applied Mechanics 2025年第19期1卷 92-99页

作者： Țîțu, Aurel Mihail Toderici, Marius Stanciu, Andreea Lucian Blaga" University of Sibiu Faculty of Engineering Industrial Engineering and Management Department 10 Victoriei Street Sibiu550024 Romania National University of Science and Technology POLITEHNICA Bucharest Faculty of Industrial Engineering and Robotics Splaiul Independentei no. 313 6th District Bucharest Romania National Institute of Research and Development in Mechatronics and Measurement Technique – INCDMTM Șos. Pantelimon Nr. 6-8 Sector 2 Bucharest21358 Romania

Hardware resource management in a hybrid IT infrastructure combines the management of public cloud resources with the management of private cloud resources that are most often owned in the organization's on-premises infrastructure. According to the IBM Transformation Index, approximately 77% of organizations have adopted a hybrid IT infrastructure in the cloud. Hybrid cloud infrastructure combines the 3 types of IT infrastructures, namely: the organization's on-premises IT infrastructure, the IT infrastructure that forms the organization's private cloud, and the public cloud that is made available by cloud service providers. This combination of IT infrastructures comes with different challenges in terms of security, hardware and software compatibility, connectivity, and interoperability, all of which are managed by the IT team. Public cloud is easier to manage than private cloud because cloud service providers take care of the maintenance of the hardware infrastructure and provide services through which users can manage the infrastructure at the level of processing, storage, memory, etc. resources. but offers less control on the security side. The management of the hardware resources to which an organization has access is important in view of the fact that this environment can accommodate different services and applications that quickly circulate data between on-premises systems and the public or private cloud and that make different services of the organization available to internal and external users. Hybrid infrastructure management has become a challenge for many organizations from both a technical, economic and human point of view. © 2025 The Author(s). Published by Cefin Publishing House – Bucharest.

关键词： Cloud platforms

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A Study of Cantaloupe Fruit Classification Using Deep Learning Algorithms

A Study of Cantaloupe Fruit Classification Using Deep Learni...

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2024 International Conference on Control, robotics and Informatics, ICCRI 2024

作者： Tran, Huy Q. Le, Quoc Ngoc Ha, Cheolkeun Van Nguyen, Tan Tan, Quoc Phan Nguyen Tat Thanh University Robotics and Mechatronics Research Group Faculty of Engineering and Technology Viet Nam Faculty of Information and Technology SaigonTech Ho Chi Minh City Viet Nam University of Ulsan Department of Aerospace Engineering Ulsan Korea Republic of Thu Dau Mot University Faculty of Engineering and Technology Viet Nam Saigon University Faculty of Information Technology Viet Nam

ISBN: (纸本)9798350380309

This study focuses on identifying cantaloupes using deep learning algorithms. Subsequently, the cantaloupes are categorized into two groups (green and yellow) based on their distinct shape and color characteristics. We also recognized the unripe cantaloupe using several recent deep-learning algorithms. Experimental results from the dataset collected in Tay Ninh province, Vietnam, demonstrated classification accuracies of Yolov8, SSD Mobilenet V2, and Faster - RCNN are impressive, especially the Yolov8 model, which achieved an average accuracy of nearly 97%. © 2024 IEEE.

关键词： Adversarial machine learning

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Development of a Lower Limb Gait Asymmetry Index with Cyclogram Analysis Using Image Processing 12

Development of a Lower Limb Gait Asymmetry Index with Cyclog...

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12th RSI International Conference on robotics and Mechatronics, ICRoM 2024

作者： Etaati, Sepideh Javaherat, Fatemeh Delrobaei, Mehdi K. N. Toosi University of Technology Faculty of Electrical Engineering Department of Mechatronics Tehran Iran K. N. Toosi University of Technology Advanced Robotics and Automated Systems lab. Faculty of Mechanical Engineering Tehran Iran

ISBN: (纸本)9798331529734

Ahstract- This study focuses on developing a gait asymmetry index and applying image processing techniques to cyclogram analysis. We evaluated gait asymmetry under different walking conditions, specifically examining the effects of wearing a knee brace and holding a weight in hand. Using inertial measurement units (IMUs), we collected gait data to analyze knee, hip, and ankle angles in the sagittal plane. The joint kinematics data were assessed using our proposed asymmetry index, which combines image processing techniques and linear regression models. The proposed asymmetry index incorporates cyclogram area, trend symmetry, and the longest length of the cyclogram shape, effectively capturing variations in symmetry and providing a comprehensive measure. The results demonstrate that the proposed asymmetry index can effectively distinguish between different gait conditions. The findings potentially offer insights for researchers and clinicians in human biomechanics, aiding in the planning of interventions and the assessment of motion patterns, as well as for developers of bipedal walking robots in the field of robotic locomotion, enhancing their ability to design hardware and evaluate motion patterns. © 2024 IEEE.

关键词： Robot programming

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Remote Monitoring and Control for a Lab-Scaled Valve Control System 10

Remote Monitoring and Control for a Lab-Scaled Valve Control...

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10th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2024

作者： Ali, Abdul Malik Bin Mohd Sahlan, Shafishuhaza Yunus, Mohd Amri Md. Rosli, Khairul Ijlal Gen, Ng Zi Manaf, Mohamad Shukri Abdul Electrical Electronic & Automation Section Kedah 0900 Malaysia Universiti Teknologi Malaysia Centre for Artificial Intelligence and Robotics Faculty of Electrical Engineering Johor Malaysia Universiti Teknologi Malaysia Faculty of Electrical Engineering Johor Malaysia ZEC Engineering Sdn. Bhd. Johor Bahru Malaysia

ISBN: (纸本)9798350365283

In this paper, an automated control valve system utilizing the Panasonic Programmable Logic Controller (PLC) AFPSWC is developed. Panasonic Control Web Creator software is used to develop the Supervisory Control and Data Acquisition (SCADA) system for remote control and monitoring purposes. To increase the efficiency of the operator, a user-friendly Human Machine Interface (HMI) is developed for the system. The lab-scaled control valve system consists of a supply tank, a reservoir tank, a control valve with a positioner, water level sensors, flow rate sensor and motor pump. The water level in the reservoir tank will be controlled by regulating the percentage of the control valve opening. The parameters such as incoming water flow rate, water levels in the supply tank and reservoir tank, incoming and outgoing motor frequencies and percentage of valve opening will be analysed. The communication protocol, Ethernet/IP is used to set up communication between the PLC and devices for remote monitoring and control purposes. The customized HMI can monitor the physical parameters in real time, while the predetermined water volume and motor pump frequencies can be controlled remotely. With the implementation of the remote monitoring system, the efficiency of the system is 97.6%. © 2024 IEEE.

关键词： Remote control

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Analysis of YouTube Video Comments with NLP Methods 16

Analysis of YouTube Video Comments with NLP Methods

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16th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2024

作者： Mironela, Pirnau Iustin, Priescu Mihaela, Priescu Catalina Claudiu, Pirnau Daniel, Ghiculescu Liviu 'Titu Maiorescu' University Faculty of Informatics Department of Informatics Bucharest Romania National University of Science and Technology Politehnica Bucharest Faculty of Automatic Control and Computer Science Bucharest Romania National University of Science and Technology Politehnica Bucharest Faculty of Industrial Engineering and Robotics Manufacturing Engineering Department Bucharest Romania

ISBN: (纸本)9798350371154

This study proposes methods that can be used to examine and interpret comments that users have made after watching videos on YouTube on a particular topic. YouTube tutorials are very popular among young people. They have become an important pillar in informal education, thus contributing to the rapid acquisition of skills and knowledge. Under these circumstances, we were interested in analysing the YouTube videos comments, knowing that the platform has a continuous increase in popularity, which is also due to the opportunities of sharing them. Since ChatGPT-themed YouTube videos have seen a significant surge in popularity since 2022, we were interested to analyse some videos that approach the topics of 'ChatGPT, AI clone, AI robot and Deep Learning.' © 2024 IEEE.

关键词： Deep learning

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Intelligent Small Scale Autonomous Vehicle Development Based on Convolutional Neural Network (CNN) for Steering Angle Prediction 1

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International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2022

作者： Asy’ari, Muhammad Zacky Phang, Maxson Suganda, Nicholas Mariana, Yosica Automotive and Robotics Program Computer Engineering Department BINUS ASO School of Engineering Bina Nusantara University Jakarta Indonesia Architecture Department Faculty of Engineering Binus University Jakarta Indonesia

ISBN: (数字)9783031290787

ISBN: (纸本)9783031290770

Human error is the most significant factor in traffic accidents. 61% of accidents in Indonesia are caused by driver negligence. Autonomous vehicles are unmanned vehicles that are believed to be able to reduce the number of accidents caused by human error. This study aims to create a prototype of a small-scale unmanned vehicle using computer vision that can move around the track. The prototype captures an image using a USB webcam and is processed by a Raspberry Pi 4 to predict the correct steering angle based on input from the camera. A convolutional neural network (CNN) algorithm is used to recognize the path. The material used to make the prototype is PLA (polylactic acid). The prototype steering system uses a servo motor, and the drive system uses a brushless DC motor controlled by the PCA9685 module. More than 1600 image data were used and taken based on a simplified track. The results of this study indicate that the prototype can move along the given track with a steering angle range of 20°–130° for right turns and 60°–170° for left turns. The throttle value capable of moving the prototype at a steady speed is 0.075. The Keras Tensorflow model, dataset, and autonomous car design can achieve the desired level of autonomy with an RMSE accuracy of 0.1145. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Forecasting

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The Balance Model for V2X System with Variable Infrastructure

The Balance Model for V2X System with Variable Infrastructur...

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2025 Systems of Signals Generating and Processing in the Field of on Board Communications, SOSG 2025

作者： Plotnikov, Pavel V. Tambovtsev, Gleb I. Vladyko, Andrei G. The Bonch-Bruevich Saint-Petersburg State University of Telecommunications Faculty of Information Technology and Software Engineering Saint Petersburg Russia The Bonch-Bruevich Saint-Petersburg State University of Telecommunications Faculty of Radioelectronic Systems and Robotics Saint Petersburg Russia

ISBN: (纸本)9798331532635

This paper addresses the optimization problem and seeks a balance equation between key performance-influencing parameters in a Vehicle-to-Everything (V2X) network. A novel mathematical optimization model is proposed, focusing on the interaction between On-Board Units (OBUs) and both stationary and mobile Roadside Units (RSUs/mRSUs). The optimization problem is expressed through a multi-objective function considering critical parameters such as data transmission latency, energy consumption, and resource availability. The study demonstrates how RSU density and mobility impact key network performance indicators, including system stability and data loss percentage during peak hours. This work provides a structured analytical approach to optimizing Intelligent Transportation System (ITS) infrastructure, ensuring more reliable and efficient communication between vehicles. © 2025 IEEE.

关键词： Motor transportation

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Smart Walking Cane for Enhanced Mobility and Safety of Visually Impaired Residents 6

Smart Walking Cane for Enhanced Mobility and Safety of Visua...

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6th International Conference on Advancements in Computing, ICAC 2024

作者： De Mel, W.H.D. Karunaratne, K.P.G.C.M. Perera, C.N. Herath, H.M.K.K.M.B. Yasakethu, S.L.P. Sri Lanka Technological Campus Faculty of Engineering Padukka Sri Lanka Computational Intelligence and Robotics Research Lab Sri Lanka Technological Campus Padukka Sri Lanka

ISBN: (纸本)9798331517878

This paper outlines designing and constructing an intelligent walking cane to assist visually impaired individuals. The smart walking cane employed in this paper provides advanced functionality such as object recognition, path planning, obstacle avoidance through Radar, Radio Frequency Identification (RFID) detection, and navigation through the path to the desired object using wheels attached to the base of the walking cane. An overhead camera detects ArUco Markers on objects and obstacles, generating a path using the A∗ algorithm sent to the cane's motor wheels to guide the user. An RFID scanner reads object details, relayed through a Bluetooth earpiece, and a buzzer alerts the user of obstacles for safe navigation. The experimental results demonstrate accurate object recognition and path navigation so the user can locate the target object successfully. The proposed smart cane system shows an overall of 86.65 % by comparing the navigation path of a non-disabled person with a visually impaired person. © 2024 IEEE.

关键词： Radio frequency identification (RFID)

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Swarm Medicine: Developing guidance for in-human testing of emerging swarm-based cancer nanomedicines 23

Swarm Medicine: Developing guidance for in-human testing of ...

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1st International Symposium on Trustworthy Autonomous Systems, TAS 2023

作者： Swana, Matimba Ives, Jonathan Hauert, Sabine Engineering Mathematics Faculty of Engineering University of Bristol Bristol United Kingdom Centre for Ethics in Medicine Bristol Medical School University of Bristol Bristol United Kingdom Bristol Robotics Laboratory & Engineering Mathematics Faculty of Engineering University of Bristol Bristol United Kingdom

ISBN: (纸本)9798400707346

The development of in silico methodology, active controllable nanoparticles (nanorobots) and collective nanosystems that work cooperatively rather than individually (nanoswarms) are emerging as the new frontier in cancer nanomedicine. A multimethod qualitative study was undertaken to develop an understanding of how the first-in-human cancer nanoswarm trial should be regulated from the perspective of various stakeholders. This poster presents the initial findings of the ongoing study. 21 semi-structured interviews with regulators, nanomedicine researchers, healthcare professionals and patients were conducted, with data subjected to thematic analysis. Five themes emerged from the interviews: (1) Patient Cancer Journey;(2) Perceptions;(3) Regulation;(4) Future Thinking and;(5) Stakeholder Interaction. Overall the results demonstrate a willingness from oncology patients to develop nanoswarm treatments, as well highlight concerns from all stakeholders around trust and transparency. In the next stage, we need to further explore with focus groups if there is a level of acceptance and awareness for regulating this technology amongst stakeholders before making final recommendations for a framework of what the first-in-human cancer nanoswarm clinical trial should look like. © 2023 Owner/Author.

关键词： Medical nanotechnology

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