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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

共 30780 条记录，以下是4561-4570 订阅

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Network Centric Therapy for Machine Learning Classification of Hemiplegic Gait through Conformal Wearable and Wireless Inertial sensors 8

Network Centric Therapy for Machine Learning Classification ...

引用

8th international conference on E-Health and Bioengineering (EHB)

作者： LeMoyne, Robert Mastroianni, Timothy No Arizona Univ Dept Biol Sci Box 5640 Flagstaff AZ 86011 USA Cognit Engn Pittsburgh PA 15243 USA

ISBN: (纸本)9781728188034

The advent of the conformal wearable and wireless inertial sensor enables expanded utility for progressive evolution of gait quantification. The acquired signal data, such as through a gyroscope, can be wirelessly transmitted to a secure Cloud computing environment for subsequent post-processing. In particular, the amalgamation of machine learning classification can be applied for the distinction of hemiplegic gait in the context of the hemiplegic affected leg and the unaffected leg. The integration of these technologies enables the realization of Network Centric Therapy, for which the patient can ascertain the benefit of gait quantification through extremely lightweight conformal wearable and wireless inertial sensor systems that have profiles relative to a bandage. Furthermore, the clinical rehabilitation team can remotely instill therapy optimized with the augmented acuity of machine learning. The research endeavor successfully demonstrates considerable classification accuracy through machine learning for the differentiation of a hemiplegic affected leg and unaffected leg during gait.

关键词： conformal wearable and wireless inertial sensor machine learning hemiplegic gait Cloud computing

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Autonomous Quadrotor Flight Stabilisation Based on a Complementary Filter and a PID Controller

Autonomous Quadrotor Flight Stabilisation Based on a Complem...

引用

ieee international conference on Dependable systems, Services and Technologies (DESSERT)

作者： Maryna Derkach Inna Skarga-Bandurova Danylo Matiuk Natalia Zagorodna Department of Computer Science and Engineering Volodymyr Dahl East Ukrainian National University Kyiv Ukraine Department of Cyber Security Ternopil Ivan Puluj National Technical University Ternopil Ukraine School of Engineering Computing and Mathematics Oxford Brookes University Oxford UK

ISBN: (纸本)9798350333053

One of the priority tasks in constructing a quadrotor is fault-tolerant control and stabilizing its flight. This paper proposes a quadrotor stabilization system based on onboard sensors, an accelerometer, a gyroscope, a complementary filter that combines their readings, and a PID controller. The complementary filter is used to improve the accuracy of tilt angles relative to the ground, and the PID controller is used to calculate the deviation compensation and bring the quadrotor to the required position. The filter makes it possible to level the gyroscope zero drift and discrete integration errors. At the same time, the PID controller compensates for the deviation of the quadrotor from the horizontal position. Experimental validations show that our approach is able to accurately control the position of a quadrotor without any external sensors and achieve sufficiently high-quality flight stabilization with RMSE 2°.

关键词： Accelerometers Fault tolerance Fault tolerant systems sensor systems sensors Gyroscopes Task analysis

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Refractive Index Measurement with a Flexible OLED-OPD Detection Unit

Refractive Index Measurement with a Flexible OLED-OPD Detect...

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2nd ieee international conference on Flexible and Printable sensors and systems (FLEPS)

作者： Titov, Igor Koepke, Markus Gerken, Martina Univ Kiel Inst Elect Engn & Informat Technol Chair Integrated Syst & Photon Kiel Germany

ISBN: (纸本)9781728152783

The refractive index (RI) of liquids plays an important role in chemical analysis and medical diagnostics. Here, we present the integration of a flexible substrate with 6 blue organic light emitting diodes (OLEDs) and 6 organic photodetectors (OPDs) with a flexible microfluidic system formed in polydimethylsiloxane (PDMS). The devices are fabricated by masked thermal evaporation on a 200 mu m thick polyethylene terephthalate (PET) foil. The individual size of the organic devices is 1 mm x 1 mm. Successful operation of the OLED-OPD matrix for refractive index measurements is demonstrated. This system is intended for RI monitoring of multiple analytes or for analyzing a single analyte with a distributed concentration.

关键词： OLED OPD flexible sensor refractive index

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A Mobile and Modular Low-Cost sensor System for Road Surface Recognition Using a Bicycle

A Mobile and Modular Low-Cost Sensor System for Road Surface...

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ieee international conference on Multisensor Fusion and Integration for Intelligent systems (MFI)

作者： Springer, Matthias Ament, Christoph Univ Augsburg Chair Control Engn D-86159 Augsburg BY Germany

ISBN: (纸本)9781728164229

The quality of pavements is significant to comfort and safety when riding a bicycle on roads and cycleways. As pavements are affected by ageing due to environmental impacts, periodic inspection is required for maintenance planning. Since this involves considerable efforts and costs, there is a need to monitor roads using affordable sensors. This paper presents a modular and low-cost measurement system for road surface recognition. It consists of several sensors that are attached to a bicycle to record e.g. forces or the suspension travel while driving. To ensure high sample rates in data acquisition, the data capturing and storage tasks are distributed to several microcontrollers and the monitoring and control is performed by a single board computer. In addition, the measuring system is intended to simplify the tedious documentation of ground truth. We present the results obtained by using time series analysis to identify different types of obstacles based on raw sensor signals.

关键词： Pavements

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HMI to exploit the potential of distributed computing in sensor systems 15

HMI to exploit the potential of Distributed Computing in Sen...

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15th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Montanari, Roberto Castellano, Andrea Landini, Elisa RE Lab Srl Reggio Emilia Italy

ISBN: (纸本)9781728105703

The complexity of in -vehicle interaction systems is constantly growing. However, thanks to the increased availability of sensing systems in the driving environment and communication infrastructure able to radically change the interaction modalities at driving, the existing situation is likely to progressively turn into a cooperative scenario, in which the vehicle and the driver share tasks at perceptual, decisional and control level. This paper describes an innovative humanmachine interaction paradigm developed in the SAFE STRIP project to exploit the potential of C -ITS to implement new mobility paradigms, to turn the traditional vehicle perspective into a more efficient traffic perspective. In order to achieve this challenging objective, the overall HMI strategy has been redesigned, to foster the adoption of a new, more active role of the driver and the other road users. The preliminary prototypes developed in the SAFE STRIP project are also described in this paper.

关键词： Hainan-Machine Interface Negotiation-based interaction C-ITS Connected vehicles Cooperative interaction

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Abnormal Road Surface Detection Based on Smart Phone Acceleration sensor and Crowdsourcing 13

Abnormal Road Surface Detection Based on Smart Phone Acceler...

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2020 ieee Congress on Cybermatics: 13th ieee international conferences on Internet of Things, iThings 2020, 16th ieee international conference on Green computing and Communications, GreenCom 2020, 13th ieee international conference on Cyber, Physical and Social computing, CPSCom 2020 and 6th ieee international conference on Smart Data, SmartData 2020

作者： Qiu, Gang Du, Ronghua Gao, Kai Hu, Lin Liu, Li College of Automotive and Mechanical Engineering Changsha University of Science and Technology Changsha410114 China College of Automotive and Mechanical Engineering Hunan Key Laboratory of Smart and Cooperative Vehicle-Infrastructure Systems Changsha University of Science and Technology Changsha410114 China

ISBN: (纸本)9781728176475

Abnormal road surface detection is important for road maintenance management and traffic safety. However, how to detect the abnormal road surface effectively is still a challenging work. Internet of things (IoT) technology can help people repair the abnormal road surface by providing efficient, low-cost technical solutions, ensure the safety and comfort of vehicle travel. In this study, we propose an abnormal road detection method based on smart phone acceleration sensor, and use k-means algorithm to cluster the detected abnormal road surface. The experimental results show that our method can effectively detect the abnormal road surface. © 2020 ieee.

关键词： Crowdsourcing

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Load Balancing Optimization for Transformer in distributed Environment

Load Balancing Optimization for Transformer in Distributed E...

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international conference on Parallel and distributed systems (ICPADS)

作者： Delu Ma Zhou Lei Shengbo Chen Peng Wang School of Computer Engineering and Science Shanghai University Shanghai China Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai China

ISBN: (纸本)9781665408790

In recent years, the demand for artificial intelligence applications has increased dramatically. Complex models can promote machine learning to achieve excellent results, but computing efficiency has gradually reached a bottleneck. Therefore, more researchers are exploring the improvement of the efficiency of intelligent computing systems. distributed machine learning can improve the efficiency of model training and inference, but problems such as communication delay and load imbalance between computing nodes still exist. In the multi-GPU distributed computing environment, this paper takes the vision field algorithm VIT (vision transformer) as the optimization object, which has the advantage of convenient parallel training, and proposes several related solutions. Firstly, the parameter server is used as the system logic architecture and in order to reduce the idleness of the computing devices during the training process, the device working status query mechanism is designed to realize load balancing. Secondly, combined with the pre-trained small VIT algorithm model, semi-asynchronous communication method is proposed to reduce the communication overhead of computing devices and accelerate global convergence. The results of this experiment carried out in the existing distributed environment has demonstrated that compared with the existing synchronization method, the computational efficiency has been improved well under the premise of slightly reducing the accuracy.

关键词： Training Computational modeling Machine learning Load management Transformers Servers distributed computing

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Deploying Network Key-Value SSDs to Disaggregate Resources in Big Data Processing Frameworks 39

Deploying Network Key-Value SSDs to Disaggregate Resources i...

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39th ieee international Performance computing and Communications conference (IPCCC)

作者： Bayati, Mahsa Roogi, Harsh Lee, Ron Mi, Ningfang Northeastern Univ Boston MA 02115 USA Samsung Semicond Inc San Jose CA USA

ISBN: (纸本)9781728198293

The exponential data generation embraces unstructured object storage systems as an effective solution to improve performance. Key-Value (KV) SSD object storage devices are unveiled to mitigate the shortcomings of traditional Key-Value stores on block devices, including device low-bandwidth utilization and KV-store resource-draining operations on the host CPU and block devices. Samsung KV-SSDs are built on top of NVMe over Fabric hardware, which supports storage remote access protocols (i.e., RDMA). Network Key-Value (NKV) is a software eco-system developed by Samsung that enables data distribution and storage disaggregation of KV-SSDs. Most widely used big data processing platforms, such as Hadoop, Presto, deploy Hadoop distributed File System (HDFS) to take advantage of rapid data access by co-locating storage and compute nodes. The co-allocation of compute and storage node limits the scalability and utilization resources and thus increases the total cost of ownership. In this paper, we present a new storage disaggregation model for big data processing platforms. Our new system layout leverages resource disaggregation by separating compute infrastructure from storage infrastructure and utilizes the benefits of new evolving storage technology, i.e., KV-SSD, for large-scale data access and processing. The goal of this work is to facilitate independent scaling of storage and compute resources, and shift the data retrieval load from the hosts to storage nodes. We evaluate our designed architecture using TPC-DS benchmark. Our results show that the CPU load on compute nodes is non-negligibly released with sustaining the same performance compared to the conventional Hadoop with HDFS.

关键词： Storage disaggregation Key-Value KV-SSD distributed object storage Big data processing platform

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Proceedings - 2020 ieee 17th international conference on Mobile Ad Hoc and Smart systems, MASS 2020

Proceedings - 2020 IEEE 17th International Conference on Mob...

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17th ieee international conference on Mobile Ad Hoc and Smart systems, MASS 2020

ISBN: (纸本)9781728198668

The proceedings contain 82 papers. The topics discussed include: multi-UAV situational awareness via distributed and approximate computing techniques;blockchain meets IoT: a scalable architecture for security and maintenance;design of temperature-aware routing for ieee 802.15.6 based wireless body area networks;vehicular edge computing based driver recommendation system using federated learning;CTDMA: Color-aware TDMA network system for low latency and high throughput in dense D2D wireless network;aerial-DeepSearch: distributed multi-agent deep reinforcement learning for search missions;ALOHA with queue sharing;and centralized active tracking of a markov chain with unknown dynamics.

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A Hybrid Method for Managing Agile Team in a distributed Environment

A Hybrid Method for Managing Agile Team in a Distributed Env...

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ieee international Workshop on Intelligent Data Acquisition and Advanced computing systems: Technology and Applications

作者： Valentyn Domanskyi Carsten Wolff Anatoliy Sachenko Anna Badasian West Ukrainian National University Ternopil Ukraine University of Applied Sciences and Arts Dortmund Germany Kazimierz Pulaski Technology and Humanitarian University Radom Poland

ISBN: (纸本)9781665426060

To overcome the shortcomings and difficulties encountered by Agile teams in distributed environment, it is proposed to use a hybrid method based on the methods of eXtreme Programming and Scrumban. The proposed approach enabling to carry out quickly the stage of project initialization, reduces project risks associated with insufficient documentation, and offers events that promote effective communication both within the team and with clients.

关键词： conferences Data acquisition Documentation Programming

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