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Brain sight: a novel system for substituting vision sensor

Brain sight: a novel system for substituting vision sensor

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The 3rd international conference on distributed Sensing and Intelligent systems (ICDSIS 2022)

作者： N. Y. Elsaeed M. M. Alshaarawy A. E. S. Esmaiel S. E. D. Elmahdy O. Abdelhameed M. M. Fakhry N. A. Ogabih N. M. Ali R. El-Deeb Software Engineering Department Faculty of Computers and Information Mansoura University Mansoura 35516 Egypt Computer Science Department Faculty of Computers and Information Mansoura University Mansoura 35516 Egypt

In a world where nearly everything we do depends on sight; it is ever more challenging for the unsighted to cope with it and lead a normal life without being reliant on the presence of a companion. Finding a mechanism to convey visual information to the brain is the most difficult part of the research as well as the development of efficient sensory replacement and augmentation systems. In this paper, we aim to propose Brain Sight as an innovative system to help blind people identifying and discovering things in front of them using vibro-tactile display for vision sensory substitution. Brain Sight is a wearable vest-like fabric containing small vibration motors that displays pulses to map the seen images on the Lower-back of the visually impaired. A deep labeling segmentation and edge detection techniques are applied to the captured image after preprocessing. A simple prototype is implemented and tested with volunteers. Thanks to neuroplasticity and the cognitive cortex inside humans' brain, the implemented vest showed promising results. Without the need for intensive training, Brain Sight enables blind to recognize different shapes and numbers.

关键词： brain computer vision edge detection handicapped aids haptic interfaces image sensors neurophysiology

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ATARAXIS: A Deep Learning Approach for Hardwareless In-Vehicle Presence Detection 3

ATARAXIS: A Deep Learning Approach for Hardwareless In-Vehic...

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3rd ieee international conference on Cognitive Machine Intelligence (ieee CogMI)

作者： Oplenskedal, Magnus Taherkordi, Amir Tam, Peter Hem Norwegian Univ Sci & Technol NTNU Trondheim Norway Univ Oslo Oslo Norway

ISBN: (纸本)9781665416214

Accurately detecting the mobile contexts of public transport vehicles and their passengers is a key requirement of intelligent context-aware services in such systems. A prominent example is in-vehicle presence detection which can be used to provide various services such as automated ticketing, dynamic vehicle distribution, and live route optimization. To use such services in practice, in-vehicle presence detection needs to be close to infallible. However, most existing solutions in this field suffer from low spatiotemporal accuracy. To address this challenge, we introduce ATARAXIS in this paper-an approach to hardwareless in-vehicle presence detection. In particular, we develop a deep convolutional neural network that can be trained to detect, if a user is inside a public transportation vehicle such as a tram, subway, or bus, from the raw sensor events generated by the sensors in a single ordinary smartphone. We show that this information can be used to infer the in-vehicle presence of users over time when combined with other sources such as the GPS trace of the user and that of the public transport vehicles. ATARAXIS has the capability to distinguish between the four user modes: driving a car, riding a bike, walking, and using public transport with an accuracy of 98.69%. This is higher than the accuracy of existing techniques for transport mode detection. We also made experiments on the battery consumption and CPU overhead. The results show that ATARAXIS incurs a negligible computational overhead and power consumption on smartphones, even though we base our approach on sensor data collection and a deep learning model.

关键词： Mobile Context In-Vehicle Presence Detection Transport Mode Detection sensor Event Streams Analysis Deep Learning Intelligent Transportation

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AI-Embedded Motion sensors for Sports Performance Analytics

AI-Embedded Motion Sensors for Sports Performance Analytics

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international conference on Micro/Nano sensors for AI, Healthcare, and Robotics (NSENS)

作者： Xiaodong Yu Yushen Chai Meng Chen Guanglie Zhang Fei Fei Yuliang Zhao Wen Jung Li Department of Mechanical Engineering City University of Hong Kong Hong Kong China College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao China

ISBN: (数字)9798350375213

ISBN: (纸本)9798350375220

Motion sensing technology is widely used in healthcare, sports, consumer electronics, etc. On the other hand, Artificial intelligence (AI) enables the development of wearable sensors that can recognize and analyze human motions. In this study, we developed a wearable wireless motion sensing system with AI-embedded inertial measurement units (AIMUs), combined with visual analysis, to evaluate and optimize athletes’ performance in sports such as gymnastics. In the experiment, a gymnast performed an entire vaulting routine while wearing 11 AIMUs, and the motion data were transmitted to a cloud server through Bluetooth gateways. This system can achieve the segmentation of vaulting phases and the evaluation of detailed movements. The experimental results showed a 4.57% estimation error in flight height. This AI-embedded motion sensor system has the potential to provide an intuitive and easy-to-understand way to present athlete performance to coaches and athletes themselves. Furthermore, its continued development could assist athletes’ training, provide quantitative sports performance indicators, significantly improve elite athletes’ training efficiency, and monitor their health regularly.

关键词： Training Wireless communication Wireless sensor networks Visualization Medical services Robot sensing systems Motion detection

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sensor-Based Emotion Tracking System for Computer Games 3

Sensor-Based Emotion Tracking System for Computer Games

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3rd international conference on Advancements in computing, ICAC 2021

作者： Wickramasinghe, W.R.M.G.K. Devduni, R.M.B. Dasanayaka, D.T.C.B. Mohomed, M.N.N. Kumari, Suriyaa Dassanayake, Thamali Sri Lanka Institute of Information Technology Department of Information Technology Malabe Sri Lanka Sri Lanka Institute of Information Technology Department of Interactive Media Malabe Sri Lanka Sri Lanka Institute of Information Technology Department of Computer Science and Software Engineering Malabe Sri Lanka

ISBN: (纸本)9781665408622

The game development industry is among the leading industries globally, and in 2020, gaming emerged as a popular entertainment activity upon the COVID-19 outbreak. Thus, competition among gaming companies is high. Hence, they try to adopt new technologies often. Gaming brings multiple feelings for the gamer. At times, the conditions may get even worse from the game's end where the gamer may end up venting out his rage and annoyance. Hence, there is a massive possibility for the gamer to switch to another game which may result in the company to lose its customers. In that scenario, this system can monitor the emotional states of the gamer while playing and manipulate the gaming environment, sound environment, enemy behavior, and gamer mechanism according to the emotional state of the gamer. The sensor-based emotion tracking system identifies the gamer's emotional state using facial emotions, detected through a webcam and heart rate, detected through sensors. The development was carried out through the machine learning models, open cv, Arduino techniques, and reactive programming. The emotional state and facial emotions that will be tracked will count to an accuracy of above 95%. Through that, the target will be to make the gamer satisfied by building appreciation for the services given and by improving the gamer's gaming experience and retain the gamer with the game provider. © 2021 ieee.

关键词： Computer games

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TRASH: Tandem Rover and Aerial Scrap Harvester

TRASH: Tandem Rover and Aerial Scrap Harvester

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Robotics, Automation and Artificial Intelligence (RAAI), ieee international conference on

作者： Lee Milburn John Chiaramonte Jack Fenton Taskin Padir College of Engineering Northeastern University Boston Massachusetts

ISBN: (数字)9798350307566

ISBN: (纸本)9798350307573

Addressing the challenge of roadside litter in the United States, which has traditionally relied on costly and ineffective manual cleanup methods 1 1 https://***/***, this paper presents an autonomous multi-robot system for highway litter monitoring and collection. Our solution integrates an aerial vehicle to scan and gather data across highway stretches with a terrestrial robot equipped with a Convolutional Neural Network (CNN) for litter detection and mapping. Upon detecting litter, the ground robot navigates to each pinpointed location, re-assesses the vicinity, and employs a “greedy pickup” approach to address potential mapping inaccuracies or litter misplacements. Through simulation studies and real-world robotic trials, this work highlights the potential of our proposed system for highway cleanliness and management in the context of Robotics, Automation, and Artificial Intelligence.

关键词： Road transportation Automation Navigation Wheels System integration Robot sensing systems sensor systems

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SAMOS: a Smart Contract Access Management over Opaque and Substructural Types 3

SAMOS: a Smart Contract Access Management over Opaque and Su...

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3rd ieee international conference on Blockchain and Cryptocurrency (ieee ICBC)

作者： Knecht, Markus Stiller, Burkhard Univ Zurich UZH Commun Syst Grp CSG Dept Informat IfI Binzmuhlestr 14 CH-8050 Zurich Switzerland Univ Appl Sci Northwestern Switzerland Inst Mobile & Distributed Syst IMVS Bahnhofstr 6 CH-5210 Windisch Switzerland

ISBN: (纸本)9781665435789

Public Blockchains (BC) in support of Smart Contracts (SC), e.g., Ethereum, enable everyone to coordinate in a decentralized model to manage scarce and valuable resources,e.g., cryptocurrencies. Such BCs allow for the building of SCs that own resources and manage a set of permissions describing who is allowed to interact with these resources and what actions they can apply to them. However, Programming Languages (PL) and run-time systems used in current BCs lack a secure, flexible, and straightforward way to implement permissions within their SCs, leading to erroneous implementations that allow unauthorized access. The best-known incident related to a permission problem was the "Parity Hack", which led to the "loss" of tokens, valued at approximately 31 M USD. A better and secure SC access control concept provides an improved path to managing permissions. Thus, this paper presents a novel concept for handling permissions compatible with functional SC languages leveraging opaque and substructural data types to provide capability-based permission management. The opaque data types enforce that only designated functions can create permission carrying capabilities. Substructural data types prevent an unpermitted duplication of capabilities.

关键词： Blockchain Smart Contracts programming languages access control capabilities substructural data types

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A Novel Hybrid Method for Identifying the Loss of Mains in distributed Generator Units

A Novel Hybrid Method for Identifying the Loss of Mains in D...

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Advancement in Technology (ICONAT), international conference for

作者： Prince Regi Joseph R S Praveen Raj 6 Padayattil House Trivandrum Kerala India Dept of EEE Mar Baselios College of Engineering and Technology Trivandrum Kerala India

ISBN: (数字)9798350354171

ISBN: (纸本)9798350354188

Over the past few years, the adoption of distributed generation (DG) units at low and medium voltage levels in distribution networks has surged globally. DG units offer numerous advantages to electric power systems, including decreased transmission and distribution (T&D) losses, absence of emissions, enhanced efficiency, and improved reliability. The interconnection of DGs with the power system Mains is a necessary for their mutual benefits. The interconnection also brings several negative impacts such as power quality deterioration and unintentional loss of Mains. Loss of Mains is the state of power distribution system in which a DG powers a location though the Mains power or grid is not available. Loss of Mains poses a significant risk to utility workers, who might be unaware that a circuit remains energized, potentially leading to dangerous situations. Additionally, it can hinder the automatic re-connection of devices, disrupting the continuity of power supply. Identification of loss of Mains condition need to be done under 2 seconds according to ieee standard 1547. An assessment of a hybrid method for the identification of loss of Mains in DGs is taken into account for analysis. The performance evaluation of the proposed scheme is carried out using MATLAB/SIMULINK 2024a software. In this proposed method, over/under voltage measurement is used as passive method. The active method uses sending second order harmonics into the PCC (Point of Common Coupling) and measuring the voltage unbalance level or the presence of negative sequence components in the voltage. Results are shown to validate the method.

关键词： Voltage measurement Integrated circuit interconnections Harmonic analysis Propagation losses Hybrid power systems Software Power system reliability Reliability Power harmonic filters Standards

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TSN over 5G: Overcoming Challenges and Realizing Integration

TSN over 5G: Overcoming Challenges and Realizing Integration

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ieee international Workshop on Factory Communication systems (WFCS)

作者： Dominik Welte Christopher Lehmann Manuel Schappacher Thomas Höschele Axel Sikora Frank H. P. Fitzek Institute of Reliable Embedded Systems and Communication Electronics (ivESK) Offenburg University of Applied Sciences Offenburg Germany Deutsche Telekom Chair of Communication Networks (ComNets) Technische Universität Dresden Research Group CampusGenius Dresden Germany Deutsche Telekom Chair of Communication Networks (ComNets) Technische Universität Dresden Centre for Tactile Internet With Human-in-the-Loop (CeTI) Dresden Germany

ISBN: (数字)9798350319347

ISBN: (纸本)9798350319354

Time-Sensitive Networking (TSN) is becoming increasingly important. Especially in the field of industrial applications, the demand for uniform, converged real-time networks is continuously increasing. Furthermore, the request to integrate wireless, mobile, and real-time capable network elements is getting more and more relevant to industrial automation use cases. To address these requests, the 3rd Generation Partnership Project (3GPP) has extended their specifications for mobile telecommunication protocols by descriptions to integrate 5G mobile networks into TSN starting from Release 16 onwards. While the specifications provide a good theoretical overview, there is still a lack of real implementations or even proof of concepts. Therefore, we started an implementation of a 5G network that is ready to be integrated into existing TSN. This work gives an overview of the current work in progress, mainly focusing on the implementation of the TSN Application Function (TSN AF) and the time synchronization features within the TSN Translators (DS-TT and NW-TT). It also shows current limitations and difficulties and how we have overcome them with our setup.

关键词： Wireless communication Wireless sensor networks 5G mobile communication Quality of service Software Real-time systems Hardware

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Smart Face Mask Based on Nanoparticle Humidity sensor for Breath Monitoring

Smart Face Mask Based on Nanoparticle Humidity Sensor for Br...

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international conference on Micro/Nano sensors for AI, Healthcare, and Robotics (NSENS)

作者： Jianfei Wang Zhibo Zhang Wen Jung Li Zuobin Wang International Research Centre for Nano Handling and Manufacturing of China Changchun University of Science and Technology Changchun Jilin China Zhongshan institute of Changchun University of Science and Technology Zhongshan Guangdong China Department of Mechanical Engineering CAS-CityU Joint Laboratory for Robotic Research City University of Hong Kong Hong Kong China

ISBN: (数字)9798350375213

ISBN: (纸本)9798350375220

Respiratory monitoring has important applications in healthcare by enabling early disease detection. However, designing humidity sensors for integration into smart masks poses unique challenges. The sensor must have fast response and recovery times faster than normal breathing rates. It must also maintain stability when exposed to atmospheric conditions. In this study, we developed gold nanoparticle-based humidity sensors for smart masks. We tested the sensors’ I–V curves under varying humidity levels. Remarkably, the sensors achieved the fastest response time of 0.2 seconds and recovery unaffected by ambient airflow. When integrated into smart masks, the sensors successfully discriminated and recorded different breathing patterns, including oral, nasal, deep, fast, breath-hold, cough, and restorative signals. Analysis of the normalized amplitudes and frequencies of patterns using continuous wavelet transform revealed comprehensive respiratory monitoring capabilities. Overall, this research provides a stable, low-cost smart mask platform for respiratory monitoring. Moving forward, such sensors show promise for non-invasive disease screening and personalized respiratory care.

关键词： Gold Humidity Medical services Robot sensing systems Wavelet analysis Stability analysis Time factors

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Static and Dynamic Distribution Network Reconfiguration with the Integration of Renewable Energy Sources

Static and Dynamic Distribution Network Reconfiguration with...

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Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM), 2020 3rd international conference on

作者： Pamela Ramsami Robert T. F. Ah King Department of Electrical and Electronic Engineering University of Mauritius Reduit Mauritius

ISBN: (数字)9798331532475

ISBN: (纸本)9798331532482

To satisfy the growing energy demand, renewable distributed generation units are being widely incorporated to the power system. Several optimisation studies have been performed to find the most appropriate size and placement of these sources using a fixed distribution network structure. However, the results produced may work for only one network configuration while producing unsatisfactory results for other probable network structures. Therefore, this paper explores the optimisation of the renewable energy sources namely photovoltaic systems and wind turbines along with distribution network reconfiguration. It investigates on both static and dynamic reconfiguration. For the static reconfiguration, three optimisation algorithms namely non-dominated sorting genetic algorithm II, strength pareto evolutionary algorithm 2 and multi-objective evolutionary algorithm based on decomposition were utilised in the ieee-123 Node Test Feeder System. Artificial neural network, group method of data handling and adaptive network based fuzzy inference system models were adopted to predict the load demand one-day ahead for the implementation of dynamic network reconfiguration. The load curve was then partitioned over 24-hour intervals to perform static reconfiguration on an hourly basis. The simulations revealed that the incorporation of renewable distributed generation units along with the change in the network configuration helps to reduce the active power loss. It was found that dynamic reconfiguration reduces the energy loss by almost 60 % while static reconfiguration results in only a slight reduction in the energy loss.

关键词： Renewable energy sources Energy loss Heuristic algorithms Power system dynamics Distribution networks Voltage Evolutionary computation distributed power generation Optimization Load modeling

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