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Showing 1-25 of 876 resultsfor "Index Terms":Experimental Data Collection
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Research and Design of the Intelligent Bulk Transfer Laboratory Interconnection
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)
Year: 2022 | Conference Paper |
Offline operation and manual operation are common in laboratory business. There are problems such as low detection efficiency, data isolation and lack of supervision. The digital transformation of business is an important part to realize the intelligence of laboratory. The interconnection of experimental equipment is the basic guarantee of business digitalization. In order to solve the above probl...Show More
SLICES Data Management Infrastructure for Reproducible Experimental Research on Digital Technologies
Yuri Demchenko;Sebastian Gallenmüller;Serge Fdida;Thijs Rausch;Panayiotis Andreou;Damien Saucez
This paper presents the ongoing research effort related to the design of the Data Management Infrastructure (DMI) to support experimental research on digital technologies with application to the ESFRI SLICES scientific instrument. We consider the experiment documentation and data collection across the whole continuum of access network, IoT, edge, cloud, and data processing workflow. The paper incl...Show More
Privacy by Design: Proposing a Generic Framework for Privacy Compliant Experiment Repository Tool
2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
Year: 2024 | Conference Paper |
The regulations and guidelines for data privacy have become a significant challenge for both the industry and the research community. Collecting, storing, and processing data while complying with these regulations can be a daunting task. Privacy management during the experimental data collection process comes with additional costs that cannot be ignored. This article proposes a conceptual framewor...Show More
Utilizing Big Data and Machine Learning to Improve Aerobic Exercise Data Collection and Analysis
2024 3rd International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI)
Year: 2024 | Conference Paper |
Traditional data collection and analysis methods are manually recorded and analyzed, with low efficiency and poor accuracy. Additionally, due to limitations in the number of athletes and equipment, only a small number of data can be recorded, which cannot fully reflect the effectiveness of aerobic exercise. This poses significant limitations for the development of scientific fitness programs and t...Show More
Data Collection Method of Space-based Internet of Things Based on Layered Fountain Code
2020 IEEE 6th International Conference on Computer and Communications (ICCC)
Year: 2020 | Conference Paper |
Cited by: Papers (3)
With the rapid development of the space-based information network, the network coverage has been further expanded. Many areas where ground infrastructure is difficult to deploy can be accessed via satellite. The application scope of the Internet of things has been greatly expanded. Ground sensors collect data, UAV as an air sink node, data is transmitted to the Internet through satellite, this typ...Show More
Experimental teaching design and practice on big data course
2017 12th International Conference on Computer Science and Education (ICCSE)
Year: 2017 | Conference Paper |
Cited by: Papers (1)
With the rapid development of big data technology and the rapid growth of big data industry market, big data talent demand is also a substantial increase in China. In order to cultivate more talented people satisfying the needs of the community, we have designed the big data course for undergraduates. The big data course stresses not only on many theories but also lots of practice. The project of ...Show More
Multi-UAV Route Planning for Data Collection from Heterogeneous IoT Devices
2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
IoT devices are widely adopted in various scenarios to realize real-time data collection. However, it is challenging to efficiently collect the sensing data when IoT devices are physically distributed in remote areas. This paper proposes to use Unmanned Aerial Vehicles (UAVs) to realize efficient data collection from these IoT devices. Specifically, the heterogeneity of IoT devices in terms of dat...Show More
Classical Potential Barrier of Liquid Phase Radical Reactions and its Simulation Based on the Experimental Kinetic and Thermochemical Data Using Fuzzy Neural Networks
2018 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
This paper discusses the technology of extracting the chemical knowledge from the structured electronic collections using fuzzy neural networks. It proposes an approach to the formation of the information space of features and the reduction of their dimensionality on the basis of empirical models of radical reactions, the logical (and physical) structure of electronic collections of experimental d...Show More
To improve the rate of dynamic data automated acquisition of virtual reality webpage, we design a dynamic data automated acquisition system of virtual reality webpage. We connect the LPC2292 controller pin and webpage extender, extract the webpage data initially, construct the RS485 data bus structure, perform the data transmission, design the system data intelligent conditioner, convert the webpa...Show More
Collection of Online and Offline Handwritten Japanese Charcters and Handwriting Classification Using the Data
2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
This paper describes the establishment of an online and offline Japanese handwritten character dataset and experiments on handwriting identification. Handwriting data were collected for forensic writer identification with 5-time repetition to examine intra-individual constancy, which was also as important as inter-individual difference. Handwritten samples were collected from four hundred and one ...Show More
On Identification of a Coupled Four Tank System
2021 16th International Conference on Computer Science & Education (ICCSE)
Year: 2021 | Conference Paper |
In this work, the parametric identification of a multi-input multi-output (MIMO) four tank system is investigated. The four tank system contains four coupled tanks, two pumps, and a water reservoir. The system outputs are water levels of tanks while two pumps operate as control inputs. Four steps are employed to complete the identification process: experimental data acquisition, data filtering, pa...Show More
Application of Artificial Intelligence Algorithms in Abnormal Data Recognition in Motion System Monitoring
2023 International Conference on Data Science and Network Security (ICDSNS)
Year: 2023 | Conference Paper |
This article studied the application of artificial intelligence algorithms in identifying abnormal data in motion system monitoring. Five experiments were conducted by collecting and preprocessing data, extracting and selecting features, selecting and optimizing classifiers. The experimental results showed that the algorithm had achieved high levels of accuracy, precision, recall, and F1 value, wh...Show More
VErGE: A system for collecting voice, eye gaze, gesture, and EEG data for experimental studies
2018 International Conference on Development and Application Systems (DAS)
Year: 2018 | Conference Paper |
Cited by: Papers (5)
Collecting multimodal data in controlled experiments is often challenging, especially when there is the need to record fine observations and experimental data over multiple input channels. Self-reporting and direct observation, including video recording, are often employed with good results, but in many cases user behavior may be elusive or difficult to quantify and record. This problem is particu...Show More
Research on Synchronization and Acquisition Technology of Multi-source Signals
2023 China Automation Congress (CAC)
Year: 2023 | Conference Paper |
The development of a multi-source signal synchronization and acquisition system is very important, which can adapt to various experimental environment and achieve time synchronization and acquisition of various types of signals. The research on multi-source data synchronization collection technology includes high-precision time synchronization technology for heterogeneous systems and data collecti...Show More
Data Collection Framework on Menus satisfying both Preferences and Nutritional Balance
2021 International Conference on Technologies and Applications of Artificial Intelligence (TAAI)
Year: 2021 | Conference Paper |
Having meals with nutritional balanced is an excellent choice to live in healthy and long. However, people may avoid meals with nutritional balanced if they are not matched with their preferences even though they know well the importance of nutritional balance. Meals that satisfy both preferences and nutritional balance should be recommended. This paper proposes a data collection framework on menu...Show More
Research on Technology-Assisted Smart Physical Education Training based on Intelligent Data Acquisition Hardware
2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Aiming at the problems of huge amount of educational resources data, time-consuming sports information processing and high resource consumption, this paper proposes a sports information fusion method based on the design and processing of intelligent data acquisition hardware. The experimental contents include sports office software application, sports multimedia technology application, sports info...Show More
A system of systems approach to defence experimentation: CAGE IIIA
2014 9th International Conference on System of Systems Engineering (SOSE)
Year: 2014 | Conference Paper |
The coalition attack guidance series of experiments aims to develop new concepts of operations for joint fires and battlespace deconfliction across a coalition run military operation. While there is a considerable body of scientific knowledge on the principles for designing defence experiments, there is a gap in translating these principles into the pragmatics for designing large-scale, distribute...Show More
A Data Collection Technology of Virtual Reality Simulation System Based on Load Balancing
2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
Aiming at the problem of high load on data collection site caused by a large amount of real-time data are stored in the database in a large-scale virtual reality simulation system. A distributed data collection scheme was proposed. Firstly, this paper introduced the overall architecture of the virtual reality simulation system for subsea production process of oil and gas and analyzed the data flow...Show More
Location data is valuable for various applications such as epidemiology, natural disasters, and urban planning but causes exposure of sensitive information, e.g., home or work place, from collected data in a datastore. Local Differential Privacy (LDP)-based data collection is a promising technology to protect sensitive information. A mobile device modify data to make each piece of data indistingui...Show More
Combat Methods Verification System of Surface Ships based on Big Data Technology
2023 9th International Conference on Big Data and Information Analytics (BigDIA)
Year: 2023 | Conference Paper |
Combat methods verification is a key process in the innovative research of surface ships operation problems. Aimed to solve the problems of combat methods evaluation and validation for surface ships, a verification system of combat methods was designed based on technology of big data, using methods of big data analysis, modeling and simulation, performance analysis synthetically. The framework and...Show More
Crowd Sensing and Living Lab Outdoor Experimentation Made Easy
Evangelos Pournaras;Atif Nabi Ghulam;Renato Kunz;Regula Hänggli
Living lab outdoor experimentation using pervasive computing provides new opportunities: higher realism, external validity, and socio-spatio-temporal observations in large scale. However, experimentation “in the wild” is complex and costly. Noise, biases, privacy concerns, compliance with standards of ethical review boards, remote moderation, control of experimental conditions, and equipment perpl...Show More
ShareLikesCrowd: Mobile analytics for participatory sensing and crowd-sourcing applications
Arkady Zaslavsky;Prem Prakash Jayaraman;Shonali Krishnaswamy
2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW)
Year: 2013 | Conference Paper |
Cited by: Papers (19)
Data and continuous data streams from mobile users/devices are becoming increasingly important for numerous applications including urban modelling, transportation, and more recently for mobile crowd-sensing to support citizen journalism and participatory sensing where sensor informatics and social networking meet. While significant efforts have focused towards the analysis of mobile user data, a k...Show More
Towards an open science platform for the evaluation of data fusion
2018 IEEE 3rd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)
Year: 2018 | Conference Paper |
Combining the results of different search engines in order to improve upon their performance has been the subject of many research papers. This has become known as the “Data Fusion” task, and has great promise in dealing with the vast quantity of unstructured textual data that is a feature of many Big Data scenarios. However, no universally-accepted evaluation methodology has emerged in the commun...Show More
Industrial Time Series Big Data Sharing Method Based on Local Area Network Monitoring Log
2023 International Conference on Artificial Intelligence and Automation Control (AIAC)
Year: 2023 | Conference Paper |
Due to the involvement of a large number of real-time monitoring and data collection devices, the generated temporal data is huge and complex, posing a challenge for data sharing among multiple departments. To address this issue, this study proposes an industrial time series big data sharing method based on local area network monitoring logs. Deploy monitoring equipment in the local area network, ...Show More
Network Security Evaluation for Space-Ground Integrated Networks Based on Network Simulation
2023 8th International Conference on Data Science in Cyberspace (DSC)
Year: 2023 | Conference Paper |
Space-ground integrated networks (SGINs) have become an important direction of future network development. However, SGINs face many security threats because of the multidimensional heterogeneity of their structure. Therefore, effective network security evaluation is an indispensable part of SGIN security research. Most existing network security evaluations are oriented toward network environments ...Show More
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