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

共 30762 条记录，以下是771-780 订阅

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A Soft Sensing Approach for Efficient Monitoring of Nanobody-Based Scorpion Antivenom Production 21st

A Soft Sensing Approach for Efficient Monitoring of Nanobody...

引用

21st international Symposium on distributed computing and Artificial Intelligence

作者： Acosta-Pavas, Juan C. Corrales, David Camilo Martinez-Menendez, Irene Villela, Susana Maria Alonso Bouhaouala-Zahar, Balkiss Georgakilas, Georgios K. Mexis, Konstantinos Xenios, Stefanos Dalamagas, Theodore Kokosis, Antonis O'donohue, Michael Fillaudeau, Luc Aceves-Lara, Cesar A. Univ Toulouse CNRS TBI INRAINSA Toulouse France INRAE UMS 1337 TWB 135 Ave Rangueil F-31077 Toulouse France Inst Pasteur Tunis Lab Biomol Venins & Applicat Theranost LBVAT 13 Pl PasteurBP-741002 Belvedere Tunis Tunisia Univ Tunis El Manar Fac Med Tunis 15 Rue Djebel Lakhdhar Bab Saadoun Tunis 10007 Tunisia Athena Res Ctr Maroussi Greece Natl Tech Univ Athens Sch Chem Engn Iroon Polytechneiou 9 Zografos 15780 Athens Greece

ISBN: (纸本)9783031820724;9783031820731

The growing demand for recombinant-based products has increased rapidly in recent years. One of the current market scopes is the production of recombinant scorpion antivenoms in E. coli. However, there are limitations in real-time quantification of Critical Quality Attributes (CQAs), such as recombinant proteins or biomass concentrations. Soft sensors merge as an alternative to solve this problem. In this work, six data-driven soft sensors were developed for online monitoring of the recombinant protein concentration. First, feature selection methods were tested to determine the relevant online variables to train the soft sensors. Then, the protein experimental dataset was augmented using a hybrid model. The K-Nearest Neighbors (KNN), and the Radial Basis Function (RBF) Support Vector Machine (SVM) obtained the best results with R-2 values higher than 0.996, RMSE and MAE values less than 0.058 and 0.051. However, the KNN soft sensor was computed in less time than the RBF SVM soft sensor. These results show the feasibility of KNN and RBF soft sensors for real-time monitoring of recombinant scorpion antivenoms.

关键词： Process Monitoring E. Coli Antivenom Production Machine learning Data-Driven Soft sensor Feature Selection

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Multiple Early-Exits Strategy for distributed Deep Neural Network Inference 19

Multiple Early-Exits Strategy for Distributed Deep Neural Ne...

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19th Annual international conference on distributed computing in Smart systems and the Internet of Things, DCOSS-IoT 2023

作者： Sbai, Marion Trigoni, Niki Markham, Andrew University of Oxford Department of Computer Science Oxford United Kingdom

ISBN: (纸本)9798350346497

Existing work on multi-camera network mainly focused on centralized systems, the role of the cameras being limited to capture images and send them to the cloud. However, this approach is impractical when the network connection is limited or variable. Our methodology distributes DNN inference across multiple edge clients and the cloud using early-exits and bottlenecks for time and accuracy requirements. In limited communication scenarios like LoRa, our solution improves average latency by 80 % compared to traditional cloud solutions. © 2023 ieee.

关键词： Deep neural networks

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Design of the Photoelectric Detection Circuit for a Multichannel Nutrient sensor in Seawater 9

Design of the Photoelectric Detection Circuit for a Multicha...

引用

9th international conference on Intelligent computing and Signal Processing, ICSP 2024

作者： Zou, Jiahao Wu, Ning Zhang, Shuwei Ma, Haikuan Chu, Dongzhi Shandong Provincial Key Laboratory of Ocean Environmental Monitoring Technology Qingdao266100 China

ISBN: (纸本)9798350376548

Existing nutrient sensors have shortcomings, such as their long measurement cycles (more than 1 h), low sensitivity, and infeasibility for use in vertical profiling systems. To deal with these drawbacks, in the current work, we devised a photoelectric detection scheme for a multichannel nutrient sensor in seawater[1]. The multi-channel detection method is adopted, that is, 5 independent light source driving circuits and 5 independent photoelectric detection circuits work at the same time, so as to realize the multi-channel simultaneous measurement of nutrient salts. The optical signals with stable wavelength and power emitted by 5 LEDs are irradiated to the corresponding circulation pool respectively, and the output optical signals are transmitted to the detection function module in the pressure resistant cabin through the optical water tight connector. All of the photoelectric signals are sent to a high-precision A/D (Analog-to-Digital Converter) unit for synchronous collection after I/V (Current to voltage conversion) and filtering. The concentration of nutrient salt corresponding to the absorbance is then obtained using the Beer-Lambert law. The obtained results indicate that the sensor based on the proposed scheme can reach a detection frequency of 1 Hz. This sensor is superior to the traditional nutrient sensor in terms of its operation in vertical profiling systems, allowing for decreases in sensing time of as much as 90% when compared with traditional instruments. The greatest advantage of the proposed sensor scheme is that it can be broadly used in vertical profiling systems for deep-sea investigation and research. © 2024 ieee.

关键词： Seawater

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Performance Characterization and Provenance of distributed Task-based Workflows on HPC Platforms

Performance Characterization and Provenance of Distributed T...

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2024 Workshops of the international conference for High Performance computing, Networking, Storage and Analysis, SC Workshops 2024

作者： Gueroudji, Amal Phelps, Chase Islam, Tanzima Z. Carns, Philip Snyder, Shane Dorier, Matthieu Ross, Robert B. Pouchard, Line C. Argonne National Laboratory United States Texas State University United States Sandia National Laboratories United States

ISBN: (纸本)9798350355543

Understanding performance and provenance of task-based workflows poses significant challenges, particularly in distributed configurations where resources are shared by multiple applications. Task-based workflow management systems further complicate performance predictability because of their dynamicity that subtly alters task execution order from run to run. In this paper we propose a layered characterization framework for performance and task provenance for *** workflows running on high-performance computing (HPC) platforms. It collects data from jobs, the workflow management system, and the operating system to aid in understanding the performance of these workflows. Our approach encompasses three main contributions: first, an extension of *** to capture high-fidelity task provenance using Mochi data services;second, the adaptation of the established HPC I/O characterization tool Darshan to gather high-fidelity I/O data, thereby enhancing the granularity of our analysis;and third, a framework to combine and process the collected data and provide helpful insights into performance characterization and reproducibility, alongside our lessons learned. © 2024 ieee.

关键词： Dask High-performance computing (HPC) performance characterization performance reproducibility performance variability provenance task-based workflows

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Potential Possibilities of Voice Pattern Recognition by a distributed Fiber Optic sensor 23rd

Potential Possibilities of Voice Pattern Recognition by a Di...

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23rd international conference on Next Generation Wired/Wireless Networks and systems (NEW2AN) / 16th conference on Internet of Things and Smart Spaces (RuSMART)

作者： Gubareva, Olga Yu Dashkov, Michael V. Makarov, Igor S. Gureev, Vladimir O. Evtushenko, Alexander S. PovolzhskiyState Univ Telecommun & Informat Lva Tolstogo 23 Samara 443010 Russia

ISBN: (纸本)9783031609930;9783031609947

Currently, ensuring information security (IS) is one of the priorities of a state's national policy. One of the most important tasks of IS is the precise identification of users within information systems. Biometric methods of identification and authentication are considered the most reliable. To address the challenge of identifying a user's identity based on acoustic signals, the utilization of existing fiber-optic communication lines with installed vibro-acoustic monitoring systems at the controlled facility has been proposed.

关键词： fiber-optic communication lines vibro-acoustic monitoring systems security mel frequency cepstral coefficients

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Middleware Architecture for Microservices based distributed System 13

Middleware Architecture for Microservices based Distributed ...

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13th international conference on Cloud computing, Data Science and Engineering, Confluence 2023

作者： Dubey, Prakhar Srivastava, Divyanshu Singh, Kunal Singh, Veenu Amity University Department of Computer Science and Engineering Uttar Pradesh Noida India

ISBN: (纸本)9781665462631

This research aims to propose a middleware architecture for efficient and secure communication between different microservices in a distributed system. In today's world, the user's expectation of software has dramatically increased due to technical advancements in hardware and software technologies. To stand with these advancements, new types of architectures and designs are created for implementation at each level of the software development lifecycle. Nowadays, large-scale industry-standard software is generally based on distributed cloud architecture where multiple autonomous systems are connected centrally, and the code base of the entire application is divided into these systems. The division of the code base is usually done based on microservice architecture and the transfer of instructions and data between them is controlled through a centrally managed domain policy through middleware. We are proposing an advanced producer-consumer model of middleware architecture which will deal with the communication and management of data among these microservices. © 2023 ieee.

关键词： Middleware

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A Fault-tolerant Control Method for USV Trajectory-tracking with sensor Faults

A Fault-tolerant Control Method for USV Trajectory-tracking ...

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2023 ieee international conference on Real-Time computing and Robotics, RCAR 2023

作者： Guo, Weilun Li, Weimin Wu, Xinyu Wang, Haibin Mu, Xinxing Wang, Qiang Xu, Yi Shandong Zhongke Advanced Technology Co. Ltd Jinan250098 China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen518055 China

ISBN: (纸本)9798350327182

This paper studies the trajectory tracking problem of the unmanned surface vehicle with sensor deviation faults. Firstly, the trajectory tracking controller based on model predictive control is designed according to the physical characteristics of the unmanned vehicle system. Moreover, an event trigger mechanism is explored in the controller to reduce the waste of computing resources. Then, a H∞ fault estimator is designed to accurately estimate the value of sensor deviation faults. Finally, the influence of sensor faults on the designed controller is analyzed. At the same time, the faults information was used for improving the tracking performance. The proposed trajectory tracking method with the fault-tolerant algorithm is verified by simulation examples. © 2023 ieee.

关键词： Controllers

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Cyber Attack Detection and Location in distributed Multi-sensor Unmanned systems

Cyber Attack Detection and Location in Distributed Multi-Sen...

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2023 ieee international conference on Unmanned systems, ICUS 2023

作者： Xu, Hongyuan Wang, Wei Wu, Hao Gao, Qing School of Automation Science and Electrical Engineering Beihang University Beijing China School of Automation Science and Electrical Engineering Beihang University Zhongguancun Laboratory Beijing China Network Information Security Institute CNCERT/CC Beijing China

ISBN: (纸本)9798350316308

With the breakthrough and development of communication technology, security of unmanned autonomous systems has become an essential problem researchers concern. This paper focuses on the problem of attack detection and location in distributed multi-sensor systems and some specific measures are provided in detail. In terms of false data injection attack in sensors and communication channel, we firstly implement information fusion employing Dempster-Shafer theory after selecting the form of data fusion. Next, based on the designed threshold, we detect whether there exists false data injection attack in this system, and determine the specific location of the attack through comparing fused results. Finally, a numerical example of general automatic platoon of vehicles is given to verify our method. © 2023 ieee.

关键词： Information filtering

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distributed Estimation of Anomalies using a Low Complexity PSO Algorithm

Distributed Estimation of Anomalies using a Low Complexity P...

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2024 international conference on Emerging Trends in Smart Technologies, ICETST 2024

作者： Saeed, Muhammad Omer Bin Khan, Salman A. Butt, Naveed R. Mohammad, Nazeeruddin Zerguine, Azzedine Gik Institute Of Engineering Sciences & Technology Faculty Of Engineering Sciences Topi Pakistan Karachi Institute Of Economics & Technology College Of Computing & Information Sciences Karachi Pakistan Prince Mohammad Bin Fahd University College Of Computer Engineering And Science AlKhobar Saudi Arabia King Fahd University Of Petroleum & Minerals Department Of Electrical Engineering Dhahran Saudi Arabia

ISBN: (纸本)9798331515850

Any wireless sensor network can experience anomalies that can hinder performance. This work presents a distributed estimation algorithm that estimates any such anomalies using a PSO algorithm. PSO algorithms are computationally expensive. This work presents a low complexity version of the algorithm that removes redundant computations and achieves excellent performance as well. Low complexity algorithms are essential for a longer battery life of wireless sensor so this algorithm provides an excellent alternative to the basic linear adaptive filtering algorithms that have low complexity but require a lot more time to achieve similar results. © 2024 ieee.

关键词： Consensus algorithm

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Enriching Kademlia by Partitioning 42

Enriching Kademlia by Partitioning

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42nd ieee international conference on distributed computing systems (ICDCS)

作者： Monteiro, Joao Costa, Pedro Akos Leitao, Joao de la Rocha, Alfonso Psaras, Yiannis NOVA LINCS Lisbon Portugal Univ Lisbon DI FCT NOVA Lisbon Portugal Protocol Labs Lisbon Portugal

ISBN: (数字)9781665488792

ISBN: (纸本)9781665488792

Decentralizing the Web is becoming an increasingly interesting endeavor that aims at improving user security and privacy as well as providing guaranteed ownership of content. One such endeavor that pushes towards this reality, is Protocol Labs' Inter-Planetary File System (IPFS) network, that provides a decentralized large scale file system to support the decentralized Web. To achieve this, the IPFS network leverages the Kademlia DHT to route and store pointers to content stored by network members (i.e., peers). However, due to the large number of network peers, content, and accesses, the DHT routing needs to be efficient and quick to enable a decentralized web that is competitive. In this paper, we present work in progress that aims at improving the Kademlia DHT performance through the manipulation of DHT identifiers by adding prefixes to identifiers. With this, we are able to bias the DHT topological organization towards locality (which can be either geographical or applicational), which creates partitions in the DHT and enables faster and more efficient query resolution on local content. We designed prototypes that implement our proposal, and performed a first evaluation of our work in an emulated network testbed composed of 5000 nodes. Our results show that our proposal can benefit the DHT look up on data with locality with minimal overhead.

关键词： Decentralized Web Peer-to-Peer distributed Flash Tables

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