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Guest-editorial computer-based intelligent technologies for improving the quality of life

IEEE Journal of Biomedical and Health Informatics 2015年第1期19卷 4-5页

作者： Mozos, Oscar Martinez Galindo, Cipriano Tapus, Adriana School of Computer Science University of Lincoln LincolnLN6 7TS United Kingdom System Engineering and Automation Department University of Malaga Malaga29071 Spain Robotics and Computer Vision Lab ENSTA-ParisTech Palaiseau91120 France

The eight papers in this special section focus on computer-based intelligent technologies for improving the quality of life.

关键词： Special issues and sections Electroencephalography Collision avoidance Assistive technology Mobile radio mobility management Robot monitoring Brain-computer interfaces

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Avoiding Forwarding Loop across Multiple Domains without Controller Synchronization in SDN 1

Avoiding Forwarding Loop across Multiple Domains without Con...

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1st International Conference of Smart systems and Emerging Technologies, SMART-TECH 2020

作者： Khan, Nauman Salleh, Rosli Bin Khan, Zahid Koubaa, Anis University of Malaya Faculty of Cs and It Department of Computer System and Technology Malaysia Robotics and Internet-of-Things Lab Prince Sultan University Riyadh Saudi Arabia

ISBN: (纸本)9781728174075

Software-defined networking (SDN) is an emerging architecture that enables network management by decoupling network control plane and data plane forwarding functions. The network controller not only monitors the data traffic but also defines the forwarding rules. Broadcast limit and loop avoidance are essential requirements for OpenFlow devices. The multiple domains are necessary for scalability in large-scale networks like on wide area network (WAN), metropolitan area networks etc. On the data plane layer, one inter-domain link connection among multiple domains in the SDN limits the scalability of SDN networks. Thus, at least two inter-domain connections are required to improve the scalability of end-to-end services in the whole SDN network. However, the two links cause loops and packet drop problems in the SDN network without controller synchronization. In this paper, the Avoid Loop with Test Packet (ALTP) scheme solution is used to provide end-to-end delivery service of data traffic and to avoid the above issues (i.e., forwarding loop and packets drop) without synchronization of control planes between the different domain controllers. The test packets in the ALTP scheme is echo and reply packets, we are used this mechanism to check the path's delay rate by using inter-domain links from the source node to the destination node. In the ALTP scheme, the source domain controller keeps the one link active among multiple inter-domain links through its egress nodes. © 2020 IEEE.

关键词： Software defined networking

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Enabling Reachability Across Multiple Domains Without Controller Synchronization in SDN

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computers, Materials & Continua 2021年第10期69卷 945-965页

作者： Nauman Khan Rosli Bin Salleh Ihsan Ali Zahid Khan Noman Mazhar Roobaea Alroobaea Fahad Almansour Usman Ali Department of Computer System and Technology Faculty of Computer Science and Information TechnologyUniversity of MalayaMalaysia Department of Computer Science and IT University of MalakandPakistan Robotics and Internet-of-Things Lab Prince Sultan UniversityRiyadhSaudi Arabia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science College of Sciences and Arts RassQassim UniversityBuraydah51452Saudi Arabia

Software-defined networking(SDN)makes network agile and flexible due to its programmable *** extensive network has multiple domains in SDN for the scalability and performance of the ***,the inter-domain link is also crucial for the stability of the entire network on the data plane *** than one inter-domain connection enhances the scalability of the data plane ***,it faces a reachability problem with the principal root,which causes forwarding loops and packet drops in the network,thereby degrading network *** proposed solution is a multiple controller architecture;however,this approach increases the complexity and affects network ***,in this study,we propose a framework that avoids forwarding loops and packet drops without the synchronization of multiple-domain controllers in the network using an avoid loop with test packet ***,we collect the link status for improved routing and load balancing for the upcoming flow across inter-domain links to prevent congestion and increase throughput in real *** proposed methodology can significantly reduce the controller workload against multiple controller architecture,minimize flow setup latency,and improve throughput.

关键词： Multiple domain packet drop forwarding loop load balancing SDN multiple controller

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Towards AER VITE: Building spike gate signal

Towards AER VITE: Building spike gate signal

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2012 19th IEEE International Conference on Electronics, Circuits, and systems, ICECS 2012

作者： Perez-Pena, Fernando Morgado-Estevez, Arturo Rioja-Del-Rio, Carlos Linares-Barranco, Alejandro Jimenez-Fernandez, Angel Lopez-Coronado, Juan Munoz-Lozano, Jose Luis Applied Robotics Lab High School of Engineering University of Cadiz Spain Automatic and System Engineering Department University Polytechnics of Cartagena Spain Department of Computer Architecture and Technology ETSI Computer Science University of Seville Spain

ISBN: (纸本)9781467312615

Neuromorphic engineers aim to mimic the precise and efficient mechanisms of the nervous system to process information using spikes from sensors to actuators. There are many available works that sense and process information in a spike-based way. But there are still several gaps in the actuation and motor control field in a spike-based way. Spike-based Proportional-Integrative- Derivative controllers (PID) are present in the literature. On the other hand, neuro-inspired control models as VITE (Vector Integration To End point) and FLETE (Factorization of muscle Length and muscle Tension) are also present in the literature. This paper presents another step toward the spike implementation of those neuro-inspired models. We present a spike-based ramp multiplier. VITE algorithm generates the way to achieve a final position targeted by a mobile robotic arm. The block presented is used as a gate for the way involved and it also puts the incoming movement on speed with a variable slope profile. Only spikes for information representation were used and the process is in real time. The software simulation based on Simulink and Xilinx system Generator shows the accurate adjust to the traditional processing for short time periods and the hardware tests confirm and extend the previous simulated results for any time. We have implemented the spikes generator, the ramp multiplier and the low pass filter into the Virtex-5 FPGA and connected this with an USB-AER (Address Event Representation) board to monitor the spikes. © 2012 IEEE.

关键词： Muscle

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Low-Cost Hand Gesture Control for Swarm Quadrotor using Wearable Device in Indoor Environments

Low-Cost Hand Gesture Control for Swarm Quadrotor using Wear...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Muhammad Luthfi Harwidjaya Aufaclav Zatu Kusuma Frisky Bilqis Hafsah Ababiel Adhiwirya Panyananda Suryadi Alfahri Rifki Fahrezi Bambang Nurcahyo Prastowo Department of Computer Science and Electronics Embedded System and Robotics Lab UGM Indonesia

ISBN: (数字)9798350394085

ISBN: (纸本)9798350394092

The control device for quadrotor aerial vehicles has garnered considerable attention in development endeavors aimed at enhancing user interface and interaction in indoor environments. Quadrotor control mechanisms rely on sophisticated remote transmitters, which often come at a substantial cost and necessitate a proficient skill set for operation to adjust in limited space. Consequently, an innovative paradigm to harness wearable technology as a means of controlling multi-drone systems, thereby streamlining user engagement. This novel approach harnesses 2.4 GHz radio frequency communication and leverages hand gestures as a conduit for motion inputs, which are subsequently processed via a machine learning algorithm augmented by a 9 axis Inertial Measurement Unit (IMU) sensor suite. The primary objective of this system pertains to the effective control of multi drones in the context of obstacle avoidance missions in indoor space. As such, this system embodies considerable promise as an alternative avenue for multi-drone system control, characterized by its intuitive nature and enhanced user accessibility.

关键词： Space missions Simulation Aerospace electronics User interfaces Control systems Indoor environment Wearable devices

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Motion-oriented attention for a social gaze robot behavior

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8755卷 310-319页

作者： Sorostinean, Mihaela Ferland, François Dang, Thi-Hai-Ha Tapus, Adriana Computer Vision and Robotics Lab Computer Science and System Engineering Department ENSTA-ParisTech Palaiseau France

ISBN: (纸本)9783319119724

Various studies have shown that human visual attention is generally attracted by motion in the field of view. In order to embody this kind of social behavior in a robot, its gaze should focus on key points in its environment, such as objects or humans moving. In this paper, we have developed a social natural attention system and we explore the perception of people while interacting with a robot in three different situations: one where the robot has a totally random gaze behavior, one where its gaze is fixed on the person in the interaction, and one where its gaze behavior adapts to the motion-based environmental context. We conducted an online survey and an on-site experiment with the Meka robot so as to evaluate people’s perception towards these three types of gaze. Our results show that motion-oriented gaze can help to make the robot more engaging and more natural to people. © 2014 Springer International Publishing Switzerland.

关键词： Robots

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Motion estimation for a mobile robot based on real-time stereo vision system

Motion estimation for a mobile robot based on real-time ster...

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2009 2nd International Congress on Image and Signal Processing, CISP'09

作者： Zhongli, Wang Xueshan, Gao Baochang, Zhang Hao, Wu State Key Lab. of Robotics and System Harbin Institute of Technology Harbin China School of Computer Science Beijing Institute of Technology Beijing China Intelligent Robotics Institute Beijing Institute of Technology Beijing China School of Automation Science and Electric Engineering Beihang University Beijing China

ISBN: (纸本)9781424441310

Vision-based motion estimation is a key technique in autonomously mobile robot. This paper presents an integrated method for motion estimation of the mobile robot based on floor plane extraction. The whole processes include floor plane extraction, pose estimation of the onboard stereo vision system and motion estimation of the mobile robot. First, based on disparity map obtained from the onboard real-time stereo vision system, a two-stage method is used for fast floor plane extraction. Then all the points belong to the floor plane are transformed from disparity space to Euclidean space, and a simple least squares method is employed to fit the floor plane. The fitting parameters of the floor plane are used for the pose estimation of the onboard stereo vision system. Finally, the motion of the mobile robot is estimated with the tracking results of the points on floor plane. The proposed motion estimation method is intended to be used in the motion control of a wheeled mobile robot. Experimental results in real environments are presented. ©2009 IEEE.

关键词： Mobile robots

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Finger Movement Regression with Myoelectric Signal and Deep Neural Network

Finger Movement Regression with Myoelectric Signal and Deep ...

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2019 International Conference on computer Science, Information Technology, and Electrical Engineering, ICOMITEE 2019

作者： Anam, Khairul Swasono, Dwiretno Istiyadi Muttaqin, Aris Zainul Hanggara, Faruq Sandi University of Jember Department of Electrical Engineering Jember Indonesia University of Jember Department of Computer Engineering Jember Indonesia University of Jember Department of Mechanical Engineering Jember Indonesia University of Jember Intelligent System and Robotics Lab Jember Indonesia

ISBN: (纸本)9781728134369

Research on electromyographic (EMG) signals is intensively carried out to help disabled people to control prosthetic hands. Neural Networks have been widely used in research on the classification of finger movements using EMG. The study of a classification system generally still works on a limited number of movements, even though the human body, especially fingers, has a nearly unlimited combination of movements to help do daily activities. To overcome this, a proportional control system is needed. In its recent development, research on myoelectric control using EMG devices is still in a laboratory environment. Hence, the results obtained in a clinical setting are often different. However, along with technological developments, the emergence of affordable and wearable commercial EMG devices such as Myo Armband, has encouraged this study to develop control systems of prosthetic fingers using regression. One of many options available is neural networks that have been widely used in various fields. By estimating each joint with a different neural network, the result shows the predicted is fitted to the actual angle with R2 as high as 99%. © 2019 IEEE.

关键词： Deep neural networks

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A Deep Learning Based Sentiment Analytic Model for the Prediction of Traffic Accidents

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computers, Materials & Continua 2023年第11期77卷 1599-1615页

作者： Nadeem Malik Saud Altaf Muhammad Usman Tariq Ashir Ahmed Muhammad Babar University Institute of Information Technology PMAS Arid Agriculture UniversityRawalpindi46000Pakistan Department of Marketing Operationsand Information SystemAbu Dhabi UniversityAbu Dhabi6844United Arab Emirates College of Computer and Information Sciences Prince Sultan UniversityRiyadh11442Saudi Arabia Robotics and Internet of Things Lab Prince Sultan UniversityRiyadh11442Saudi Arabia

The severity of traffic accidents is a serious global concern,particularly in developing *** the main causes and contributing circumstances may reduce the severity of traffic *** exist many machine learning models and decision support systems to predict road accidents by using datasets from different social media forums such as Twitter,blogs and *** such approaches are popular,there exists an issue of data management and low prediction *** article presented a deep learning-based sentiment analytic model known as Extra-large Network Bi-directional long short term memory(XLNet-Bi-LSTM)to predict traffic collisions based on data collected from social ***,a Tweet dataset has been formed by using an exhaustive keyword-based searching *** the next phase,two different types of features named as individual tokens and pair tokens have been obtained by using POS tagging and association rule *** output of this phase has been forwarded to a three-layer deep learning model for final *** experiment has been performed to test the efficiency of the proposed XLNet-Bi-LSTM *** has been shown that the proposed model achieved 94.2%prediction accuracy.

关键词： Accident XLNet Bi-LSTM association rule mining Twitter

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Optimizing Vehicle Motion Control for Generating Multiple Sensations

Optimizing Vehicle Motion Control for Generating Multiple Se...

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2018 IEEE Intelligent Vehicles Symposium, IV 2018

作者： Kissai, Moad Mouton, Xavier Monsuez, Bruno Martinez, DIdier Tapus, Adriana Department of Computer and System Engineering ENSTA ParisTech Autonomous Systems and Robotics Lab 828 Boulevard des Marchaux Palaiseau Cedex91762 France Chassis Systems Department Group Renault 1 Avenue du Golf Guyancourt78280 France

ISBN: (纸本)9781538644522

Most of automotive researches focus on autonomous vehicles. Studies regarding trajectory planning and trajectory tracking became preponderant. As in case of commercial ground vehicles there is a driver in the loop, one should raise the important question of how the trajectory should be tracked. In this paper, we investigate the influence of controlling integrated chassis systems on the vehicle's behavior. A fixed Model Predictive Control is used to track the trajectory. Tunable vehicle motion control is however used to provide different motion feelings. Results show that a specific trajectory could be followed in different manners. Therefore, vehicle dynamics can be and should be controlled in such a way to generate adaptive trust feelings to passengers in case of autonomous driving. © 2018 IEEE.

关键词： Trajectories

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