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Research on Smart Leisure Venue Management systems Driven by the Internet of Things 1

Research on Smart Leisure Venue Management Systems Driven by...

引用

1st international Conference on intelligent Manufacturing and Cloud computing, ICIMCC 2024

作者： Zhang, Lu Institute of Physical Education South China University of Technology Guangdong Guangzhou510641 China

ISBN: (纸本)9781643685779

The rapid development of Internet of Things (IoT) technology has provided new opportunities for constructing smart leisure venue management systems. This paper proposes an IoT-based intelligent leisure venue management system, employing a layered architectural design that includes data acquisition, data analysis, intelligent decision-making, and application service layers. The data acquisition layer collects environmental and user behavior data through distributed sensor networks and RFID technology. The data analysis layer utilizes big data processing techniques to achieve real-time data fusion and cleansing. The intelligent decision-making layer optimizes venue operations using reinforcement learning algorithms, while the application service layer offers personalized services and visual interfaces to users and managers. Experimental results demonstrate that the system excels in data acquisition accuracy, real-time processing capability, visitor flow prediction accuracy, and energy consumption optimization, effectively enhancing venue operational efficiency and user satisfaction. The conclusion highlights that the system has room for improvement in handling peak period visitor statistics. Future work will focus on optimizing algorithms and enhancing system scalability to further improve overall performance. © 2025 The Authors.

关键词： data collection

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A computerized method for predicting the risk of powdery mildew in wheat based on software analysis of soil and climatic monitoring data 1

A computerized method for predicting the risk of powdery mil...

引用

1st international workshop on advanced Applied Information Technologies, AdvAIT 2024

作者： Diachenko, Grygorii Laktionov, Ivan Moroz, Dmytro Derzhevetska, Maryna Semenov, Sergii Dnipro University of Technology av. Dmytra Yavornytskoho 19 DniproUA49005 Ukraine Technical University "Metinvest Polytechnic" Southern Highway 80 ZaporizhzhiaUA69008 Ukraine

Today, smart agriculture is one of the core technologies for sustainable development and increasing the efficiency of open-field crop production enterprises of various sizes and forms of ownership in the face of changing climate conditions. The development and implementation of computerized methods and intelligent software and hardware solutions for transforming large volumes of agroclimatic data distributed in time and space is a relevant and important field for improving the efficiency of information technologies for agrotechnical applications. In this article, the scientific and applied problem of creating and validating a computerized method for predicting the probability of occurrence of crop diseases at the pre-symptomatic stage, which forms the basis of software and hardware components for processing data from agromonitoring systems based on fog architecture, has been solved. The main results of the research are: reduction of the number of informative features to five based on the Harris Hawk Optimizer algorithm, proving the effectiveness of Bagged Trees and Medium Neural Network algorithms in the classification of Powdery Mildew in Wheat, synthesis and testing of a computer model in Simulink that implements a full cycle of transformation of agroclimatic monitoring data in predicting the Risk of Powdery Mildew in Wheat. In addition, prospective directions for further research to improve the efficiency of information technologies for predicting the probability of crop diseases are substantiated in the article. © 2024 Copyright for this paper by its authors.

关键词： Digital storage

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Modeling the detection process of polymorphic malware based on the Lotka-Volterra model✶ 1

Modeling the detection process of polymorphic malware based ...

引用

1st international workshop on advanced Applied Information Technologies, AdvAIT 2024

作者： Chaikovskyi, Maksym Chaikovska, Inna Sochor, Tomas Martyniuk, Inna Lyhun, Oleksii Khmelnytskyi National University Instytuts’ka Str. 11 Khmelnytskyi29000 Ukraine Prigo University Havirov Czech Republic

The article proposes the use of the Lotka-Volterra model ("predator-prey" model) for modeling the process of detecting polymorphic malware. It is proposed to consider α as the probability that the number of polymorphic viruses will increase;β - the probability that polymorphic viruses of different levels of complexity will be detected using the selected methods, technologies and tools;γ - the probability that some of the selected methods, technologies and tools will not be effective in detecting polymorphic viruses of different levels of complexity as a result of the appearance of new varieties;δ - the probability that polymorphic viruses of different levels of complexity will require the complex use of selected methods, technologies and tools, as well as the latest approaches;x - quantitative measurement of polymorphic viruses at time t;y is a quantitative measure of the available technologies, methods and tools for detecting polymorphic viruses at time t. The influence of input indicators on the maximum rate of spread and detection of polymorphic viruses in its fluctuating process was studied. This approach confirms the feasibility of using a set of methods to detect polymorphic malware: string search algorithms, intelligent data analysis, sandbox analysis, machine learning, the method of developing structural functions, probabilistic logical networks. © 2024 Copyright for this paper by its authors.

关键词： Predator prey systems

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2012 IEEE 1st international Symposium on Wireless systems - Within the Conferences on intelligent data acquisition and advanced computing systems, IDAACS-SWS 2012

2012 IEEE 1st International Symposium on Wireless Systems - ...

引用

2012 IEEE 1st international Symposium on Wireless systems within the IEEE international Conference on intelligent data acquisition and advanced computing systems: Technology and Applications, IDAACS-SWS 2012

ISBN: (纸本)9781467346771

The proceedings contain 25 papers. The topics discussed include: using pressure sensors for floor identification in wireless sensors networks;global localization of automated guided vehicles in wireless networks;hybrid person localization in ad-hoc networks using model-based control and visualization;radio-based indoor localization using the eZ430-chronos platform;pedestrian localization using IEEE 802.15.4a TdoA wireless sensor network;multimodal and collaborative localization service for diverse environments;architecture of device independent communication applied in language learning game;application of wireless technology for IP-based aircraft in-flight entertainment;mobile transfer of wireless technologies;media façade: technical tools for interactive content control;improved method of ant colonies to search independent data transmission routes in WSN;and performance analysis of an Bluetooth low energy sensor system.

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A Big data Analytic and IoT-Based Approach for Addressing Water Scarcity in Jordan

A Big Data Analytic and IoT-Based Approach for Addressing Wa...

引用

Computational Intelligence Approaches and Applications (ICCIAA), international Conference on

作者： Abdelraouf Ishtaiwi Nuha El-Khalili May Alnashashibi Mohammad Abu Arqoub Dept. of Data Science and Artificial Intelligence University of Petra Amman Jordan Department of Software Engineering University of Petra Amman Jordan Department of Computer Science University of Petra Amman Jordan

ISBN: (数字)9798331523657

ISBN: (纸本)9798331523664

Water scarcity critically threatens agricultural sus-tainability in Jordan, necessitating innovative technological solutions. This study presents a comprehensive framework that integrates Internet of Things (IoT) sensors with Big data Analytics to optimize water usage in agriculture. Employing a multi-stage approach, we conducted real-time data acquisition from diverse farms, processed the data using clustering algorithms, and implemented intelligent decision-making systems. Our analysis focused on key parameters such as soil moisture, temperature, rainfall, and wind speed across various farming locations. The methodology encompassed extensive field data collection, advanced analytics, and the deployment of smart irrigation systems. Results demonstrated a significant 25 % reduction in water consumption while maintaining optimal crop yields. Additionally, clustering identified three distinct farm categories, each requiring tailored water management strategies. This research contributes to the field of smart agriculture by providing practical, scalable solutions for regions facing severe water scarcity. The findings highlight the potential of advanced technologies to enhance agricultural sustainability and address critical water management challenges.

关键词： Temperature sensors Smart agriculture Irrigation Wind speed Soil moisture Big data Real-time systems Internet of Things Sustainable development Water resources

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1st international Conference on computing and Emerging Technologies, ICCET 2023

1st International Conference on Computing and Emerging Techn...

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1st international Conference on computing and Emerging Technologies, ICCET 2023

ISBN: (纸本)9783031776168

The proceedings contain 32 papers. The special focus in this conference is on computing and Emerging. The topics include: Automatic Invasive Ductal Carcinoma Detection Using Convolutional Neural Networks;intelligent Diagnosis and Assessment of Heart Patients Using Machine Learning;Automated Detection of COVID-19 Using Deep Convolutional Neural Network (CNNs) Using Chest Radiograph and CT Scan Images;development and Evaluation of Smartphones Interface for Elderly;cyber Physical systems Having Nodes/Layers with Trustworthy data: A Review;analysis of Device-To-Device Communication in Iot System;Extending WSN Lifetime with Cluster Head Election;Automatic HTP Assessment for Schizophrenic Patients Using Machine Learning;deep-Learning Based Multi-Modalities Fusion for the Detection of Brain-Related Diseases: A Review;human Activity Recognition Using Transformer Model;usability Impact of Conversational Chatbot;securing Drug Supply Chain with Medledger: A Blockchain Solution to Counterfeit and Hoarding Challenges;implementation of Authentic Resources for E-Learning in Education;securing Cyber-Physical systems by Using Artificial Intelligence;an Efficient Implementation of an IoT-Based Smart Home Security System;access and Secure Patient Medical Records Using Blockchain Technology Based Framework: A Review;subcellular structures Classification in Fluorescence Microscopic Images;Bioelectric Signal acquisition and Design of Portable ECG for Medical Internet of Things Applications;classification of Cloud Attacks Using Deep Learning;facial Expression Recognition Using Convolution Neural Network;distinguishing Parkinsons Disease and Essential Tremors by Using Machine Learning;a Jurisprudence for Pakistan’s Digital Forensic Investigation Framework Regarding Cybersecurity;framework for Efficient Identification of Features Associated with Software Defects Using Spearman Correlation and Apriori Algorithm;segmentation of Brain Tumor Using U-Net Approach.

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1st international Conference on computing and Emerging Technologies, ICCET 2023

1st International Conference on Computing and Emerging Techn...

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1st international Conference on computing and Emerging Technologies, ICCET 2023

ISBN: (纸本)9783031776199

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Minimization of parameters number describing accuracy of data acquisition system

Minimization of parameters number describing accuracy of dat...

引用

1st international workshop on intelligent data acquisition and advanced computing systems

作者： Bykov, AP Didenko, VI Movchan, AL Solodov, JS Tech Univ Moscow Power Engn Inst Dept Informat & Measuring Techn Moscow 111250 Russia

The paper reads the problem for minimization of parameters number necessary, to describe the accuracy of data acquisition systems. The minimization is fulfilled on the example of AD7714 Sigma-Delta ADC by Analog Devices.

ISBN: (纸本)078037164X

关键词： data acquisition system modelling Sigma-Delta ADC

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Metadata - A key to data acquisition and information retrieval

Metadata - A key to data acquisition and information retriev...

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1st international workshop on intelligent data acquisition and advanced computing systems

作者： Reusch, PJA Univ Appl Sci Fachhsch Dortmund Dortmund Germany

ISBN: (纸本)078037164X

Metadata have a long tradition in several areas. Metadata help to structure data or documents and to classify the contents. Today it is important to recognize the power of existing metadata (thesauri, classifications,...) and to use such metadata and to expand such metadata for advanced data acquisition and information retrieval. To expand. metadata modern learning systems should be used and an open communication model, that integrates different aspects of data and metadata. Results of an information retrieval project are described and a new multi-level model of metadata is introduced.

关键词： metadata classification learning systems information retrieval

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Monitoring of the heat transfer in buildings

Monitoring of the heat transfer in buildings

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1st international workshop on intelligent data acquisition and advanced computing systems

作者： Lipnik, G Matko, V FERI Smetanova 17 Maribor SI-2000 Slovenia

ISBN: (纸本)078037164X

In paper is introduced measurement method for monitoring of temperatures on big objects. Measurement equipment used in method and results on known object are also introduced. When temperatures are monitored fora long period of time (at least 14 days), the lost of heat, quality of isolation and quality of heat regulation can be estimated.

关键词： heating termal isolation data acquisition

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