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Design and Implementation of Big data Multimedia Fusion Platform Based on Cloud computing

Design and Implementation of Big Data Multimedia Fusion Plat...

引用

2021 international conference on intelligent Transportation, Big data and Smart City, ICITBS 2021

作者： Li, Miao Hainan Health Management College Haikou571900 China

ISBN: (纸本)9781665448543

Through the practice of cloud architecture platform construction, we try to establish a media convergence oriented and Internet oriented cloud technology system. In this paper, the technical architecture, implementation functions and technical points of the integrated media platform are discussed in detail. Using the systematic design concept, the interconnection problem of various manufacturers' equipment is solved based on the MOS protocol and SSH technology framework, and the automatic control between systems is also realized, as well as the efficient and stable interconnection and automatic control between the devices. The platform running test analysis shows that the scheme significantly enhances the compatibility and reliability of radio and television system, which provides professional system, technology, equipment and service guarantee for solving the timeliness problem of news report. © 2021 ieee.

关键词： Cloud computing

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Easy-to-Deploy Living Activity Sensing System and data Collection in General Homes 18

Easy-to-Deploy Living Activity Sensing System and Data Colle...

引用

ieee international conference on Pervasive computing and Communications (PerCom)

作者： Matsui, Tomokazu Onishi, Kosei Misaki, Shinya Fujimoto, Manato Suwa, Hirohiko Yasumoto, Keiichi Nara Inst Sci & Technol Ikoma Nara 6300192 Japan RIKEN Ctr Adv Intelligence Project Chuo Ku Tokyo 1030027 Japan

ISBN: (纸本)9781728147161

Emergence of smart appliances and high performance IoT devices is promoting studies on more functional and intelligent home services using these devices. Especially, in developed countries including Japan with aging population and declining birthrate, it is urgent to develop technologies to monitor living situations of residents including elderly persons and improve their quality of life (QoL) through home services based on the activity recognition technology. However, activity recognition systems in general require many types/number of sensors and hence they are difficult to deploy and operate. In this paper, we propose a system consisting of low-cost and easy-to-deploy sensors based on energy harvesting that can collect data of resident's activities of daily living (ADL) for months without maintenance. The system was deployed in 10 homes of senior citizens where we collected ADL data for two months each. We also estimated the ADLs from the collected data by using long short-term memory (LSTM), a deep learning model. As a result, ADLs could be estimated at high recall rate of 82.4% on average and hence we found that the proposed system has high applicability to actual services.

关键词： daily activity recognition IoT machine learning LSTM simple installation sensing system

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A Multi-tenant database Architecture Design for Software Applications

A Multi-tenant Database Architecture Design for Software App...

引用

ieee 16th international conference on Computational Science and Engineering (CSE)

作者： Yaish, Haitham Goyal, Madhu Univ Technol Sydney Fac Engn & Informat Technol Ctr Quantum Computat & Intelligent Syst Broadway NSW 2007 Australia

ISBN: (纸本)9781479948970

Multi-tenant database is a new cloud computing paradigm that has recently attracted attention to deliver database functionalities for multiple tenants to create, store, and access their databases over the internet. This multi-tenant database should be highly configurable and secure to meet tenants' expectations and their different business requirements. In this paper, we propose an architecture design to build an intermediate database layer to be used between software applications and Relational database Management systems (RDBMS) to store and access multiple tenants' data in the Elastic Extension Table (EET) multi-tenant database schema. This database layer combines multi-tenant relational tables and virtual relational tables and makes them work together to act as one database for each tenant. This architecture design is suitable for multi-tenant database environment that can run any business domain database by using a combination of a database schema, which contains shared physical structured tables and virtual structured tenant's tables. Further, this multi-tenant database architecture design can be used as a base to build software applications in general and Software as a Service (SaaS) applications in particular.

关键词： Cloud computing Multi-tenancy SaaS Multi-tenant database Structured data Unstructured data Elastic Extension Tables

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Artificial Intelligence Model for Classification of Sensitivity data Utilized at Industrial Applications

Artificial Intelligence Model for Classification of Sensitiv...

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2022 international conference on Electronic systems and intelligent computing, ICESIC 2022

作者： Mohammad, Ashraf Sree, Mupparaju Kavya Dheeraj Pedapalli, Saam Prasanth Raveendra, Muddineni Kumar, T. Yaswanth Pavan National Ilan University Department of Electronic Engineering Yilan City Taiwan Vel Tech Rangarajan Dr Sagunthala R&d Institute of Science and Technology Department of Cse Chennai India Wistron Corporation Failure Data Analysis Engineer Hsinchu City Taiwan

ISBN: (纸本)9781665483858

Every electronic gadget in the structure has the potential to cause ignite, whether through a short circuit or another means which is also the primary cause of fire accidents. Smoke detectors are used to save the lives of causalities during hazards. In the manufacturing industry of smoke detectors, around 12 percent of products are getting failed due to the parameters of sensitivity criteria. This paper provides an approach to improve the success rate sensitivity data of the products as an industrial application using a sequential model provided by the tensor flow. Model accuracy and loss were results compared at different epochs. The final artificial intelligence model was developed with a minimum number of layers and requires less computational time. This paper helps the industry to improve product quality and efficiency. © 2022 ieee.

关键词： Tensors

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Research and implementation of SNMP-based network management system

Research and implementation of SNMP-based network management...

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2011 4th international conference on on intelligent Networks and intelligent systems, ICINIS 2011

作者： Liu, Jianqing Liu, Guangyong School of Information Technology Engineering Tianjin University of Technology and Education Tianjin China

ISBN: (纸本)9780769545431

After the brief introduction of the current situation of matured system framework based on SNMP, the basic problems of network management framework design are presented in detail. This paper focuses on the construction of SNMP-based platform in terms of software framework. Finally, by the use of the medium-sized data exchange network, it achieves the function of discovering the topology. © 2011 ieee.

关键词： Electronic data interchange

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The Fault Tolerant Černý Finite State Machine: a Concept and VHDL Models

The Fault Tolerant Černý Finite State Machine: a Concept a...

引用

ieee international Workshop on intelligent data acquisition and advanced computing systems: Technology and Applications

作者： Vyacheslav Kharchenko Sergey Tyurin Herman Fesenko Oleg Goncharovskij National Aerospace University Kharkiv Ukraine Perm National Research Polytechnic University Perm Russia

ISBN: (纸本)9781665426060

There is a well-known problem named a Finite State Machine (FSM) synchronization in discrete mathematic or the road coloring problem in graph theory. In such area, Černý-Starke conjecture was solved by Trahtman in 2007. Applications of the FSM (herein after in this paper referred to as the Černý FSM) for reliability, safety and dependability can be considered as a new important direction in various domains such as Internet of Things and cyber physical systems, embedded electronics and quantum computing, cyber security and resilience etc. This paper discusses ways of the fault tolerant FSM development using Trahtman theorem. The authors investigate the binary Černý FSM with eight states, simulate logic circuit, and formulate problem of the reset paths conserving for some fault model.

关键词： Fault tolerance VHDL Roads Fault tolerant systems Automata Safety Synchronization

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Implementation of DDS Cloud Platform for Real-time data acquisition of Sensors

Implementation of DDS Cloud Platform for Real-time Data Acqu...

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2021 international Symposium on intelligent Signal Processing and Communication systems, ISPACS 2021

作者： Ho, Min-Huang Yen, Huang-Chu Lai, Ming-Yi Liu, Yung-Tien National Kaohsiung Univ. of Science and Technolog Cross College Elite Tech Program Kaohsiung Taiwan National Kaohsiung Univ. of Science and Technology Dept. of Comp. and Comm. Eng. Kaohsiung Taiwan National Kaohsiung Univ. of Science and Technolog Dept. of Mechatronics Eng. Kaohsiung Taiwan

ISBN: (纸本)9781665419512

The Industry 4.0 (I4.0) is a multi-disciplinary engineering by combing the IoT, big data, and cloud computing to cope well with the dynamic changing industry. In this paper, the DDS (data distribution service) communication protocol is employed to implement a cloud platform for data acquisition of various sensors including accelerometer, sound, temperature, brightness, and humility, etc. The sensor signals acquired by the ESP32 microcontroller (MCU) are collected by the Raspberry Pi serving as the edge device and then published with the DDS application to the cloud and stored to the MySQL database. With the Django web server, the sensor signals acquired are real-time shown on the webpage. It is expected that the proposed DDS cloud platform can be applied to a legacy machine to enable sensing and communication abilities such that the development of smart machine is achievable. © 2021 ieee.

关键词： Cloud computing

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Reference System Architecture for Trade Promotion Management Leveraging Business Intelligence Technologies and Decision Support systems

Reference System Architecture for Trade Promotion Management...

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13th ieee international conference on Commerce and Enterprise computing (CEC)

作者： Balmus, Andra Bianca Iacob, Maria Eugenia van Sinderen, Marten van Busschbach, Murk Univ Twente Informat Syst Grp Enschede Netherlands Procter & Gamble Co Global Business Serv Initiat Delivery Rotterdam Netherlands

ISBN: (纸本)9780769545356

Working towards gaining competitive advantage and establishing stable relationships with their supply chain intermediaries, fast moving consumer goods companies are currently focusing their attention on intelligent, goal-based funds investment. Traditional trade promotion management systems (TPMS), however, fail to provide the complex, yet flexible analytical functionality required for accurate tracing of promotional effectiveness and optimization of trade promotional spending. Most commonly encountered issues range from unreliable, inaccurate and inconsistent data and low user friendliness of the system to complicated, inflexible and time-consuming reporting. In this paper, we design the first reference system architecture integrating business intelligence technologies with trade promotion management systems, meeting the business needs and rendering high-quality reporting services to the end users. Our proposed architecture incorporates a reference trade promotion management process and is the first architecture model extending the in-built functionality of TPMS with BI tools. We outline the theoretical foundations and the design principles of the architecture and evaluate its validity with 19 interviews and one case study following the TOGAF ADM steps. Despite the time restriction for further validation, the architecture is based on extensive academic and industry literature and the evaluation confirmed its potential of solving common issues of current trade promotion management systems.

关键词： trade promotion reference architecture business intelligence Fast Moving Consumer Goods

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APFel: The intelligent Video Analysis and Surveillance System for Assisting Human Operators

APFel: The Intelligent Video Analysis and Surveillance Syste...

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10th ieee international conference on advanced Video and Signal Based Surveillance (AVSS)

作者： Kolarow, Alexander Schenk, Konrad Eisenbach, Markus Dose, Michael Brauckmann, Michael Debes, Klaus Gross, Horst-Michael Ilmenau Univ Technol Neuroinformat & Cognit Robot Lab D-98684 Ilmenau Germany L1 Ident Solut AG D-44801 Bochum Germany

ISBN: (纸本)9781479907038

The rising need for security in the last years has led to an increased use of surveillance cameras in both public and private areas. The increasing amount of footage makes it necessary to assist human operators with automated systems to monitor and analyze the video data in reasonable time. In this paper we summarize our work of the past three years in the field of intelligent and automated surveillance. Our proposed system extends the common active monitoring of camera footage into an intelligent automated investigative person-search and walk path reconstruction of a selected person within hours of image data. Our system is evaluated and tested under life-like conditions in real-world surveillance scenarios. Our experiments show that with our system an operator can reconstruct a case in a fraction of time, compared to manually searching the recorded data.

关键词： security video surveillance

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Research on Human Motion Information acquisition Based on IMU 2

Research on Human Motion Information Acquisition Based on IM...

引用

2nd international conference on advanced Sensing, intelligent Manufacturing, ASIM 2023

作者： Xuan, Liang He, Xiaochi Shen, Ao Xu, Yufei Teng, Shaowei Yuan, Zhenfei Jianghan University State Key Laboratory of Precision Blasting Wuhan China

ISBN: (纸本)9798350385571

Wearable lower limb exoskeleton robots are of great interest as the population ages. Lower limb exoskeleton robots achieve precise motion control that relies on accurate tracking of motion information of the wearer's limbs. Lower limb exoskeleton robots can better understand the user's movement intention through accurate data acquisition. This results in greater accuracy and reliability in motion control. Conventional sensors are susceptible to noise interference when collecting human motion data. To ensure the accuracy and real-time performance of motion information data acquisition, this paper carries out research on human lower limb motion information acquisition based on IMU. In this paper, IMUs are used to collect human lower limb motion data in real-time, and the Kalman filtering method is applied to filter the data to improve the accuracy of data collection. The experimental results show that the method has good real-time, accuracy and applicability. It can meet the motion acquisition requirements and provide reliable support for the system control of lower limb exoskeleton robots. © 2023 ieee.

关键词： Motion control

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