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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 - ...

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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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Proceedings of the 2nd ieee international Workshop on intelligent data acquisition and advanced computing systems: Technology and Applications, IDAACS 2003

Proceedings of the 2nd IEEE International Workshop on Intell...

引用

2nd ieee international Workshop on intelligent data acquisition and advanced computing systems, IDAACS 2003

ISBN: (纸本)0780381386

The proceedings contain 112 papers. The topics discussed include: self-calibration of ultrasonic transducers in an intelligent data acquisition system;intelligent measurement multiplex system;first ukrainian multi-channel magneto cardiograph^ assembling and testing;developing an environment for embedded software energy estimation;a proposal for a sort-middle cluster rendering system;intelligent solving machines on modem parallel architectures;a genetic based technique for the determination of power system topological observability;a new hybrid heuristic technique for solving job-shop scheduling problem;investigation of a hybrid algorithm for decision tree generation;and an approach for determining the periodicity of regulation work of risk technical systems.

关键词： data acquisition

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TinyDevID: TinyML-Driven IoT Devices IDentification Using Network Flow data 17

TinyDevID: TinyML-Driven IoT Devices IDentification Using Ne...

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17th international conference on COMmunication systems and NETworkS, COMSNETS 2025

作者： Chaudhary, Priyanka Rushikesh Agrawal, Anand Maiti, Rajib Ranjan BITS Pilani Department of CSIS Hyderabad Campus India

ISBN: (纸本)9798331531195

IoT device identification is often used as the first line of defense. However, it is challenging due to the acquisition of IoT as a business by the existing vendors of traditional computing devices, making it difficult to adopt identifiers based on IP or MAC addresses. In this paper, we address this problem by using TinyML and a small set of generic flow-based features. In particular, we have designed and developed a novel framework, called TinyDevID, that uses TinyML to achieve device identification in a microcontroller having a very limited memory. TinyDevID employs neural architecture search (NAS) to find best-performing architectures and then builds and converts them to TinyML models, we call them as TinyID models, to be deployed into a microcontroller. We collected about 4.5GB of network traces of three IoT devices in our laboratory setup and extracted 77 flow-based features using a CICFlowMeter. Using ExtraTree classifier, we have selected the top ten features for classification using both multilayer perceptron (MLP) and TinyID models, and compared their performances. The results of our analysis show that the TinyDevID is effective in identifying the IoT devices with an average accuracy of up to 91% for all three devices and a maximum accuracy of 97%, which is slightly higher than MLP models. We have compared the results of TinyDevID with state-of-the-art and show that our work is first to use TinyML models for IoT device identification and it achieves commendable accuracy and false positive rates. © 2025 ieee.

关键词： Microcontrollers

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Explainable AI in Blockchain System for Decentralized Governance

Explainable AI in Blockchain System for Decentralized Govern...

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2025 international conference on Pervasive Computational Technologies, ICPCT 2025

作者： Chahar, Suman Kaur, Kawaljit Kaswan, Kuldeep Singh Dhatterwal, Jagjit Singh University Institute of Computing Chandigarh University Mohali India Galgotias University Department of Computer Science and Engineering Greater Noida India Koneru Lakshmaiah Education Foundation Department of Artificial Intelligence and Data Science Andhra Pradesh India

ISBN: (纸本)9798331508685

Decentralized governance is going through radical changes due to the innovative use of blockchain which allows decisions to be made in a transparent, secure and more im- portantly, immutable way, without the authority of a single individual or party. Thus, the introduction of artificial intelligence (AI) in blockchain governing systems complicates such thing as transparency and trust, especially in the case of deep AI systems. But more on this later - this is where Explainable AI or XAI comes into the picture. XAI methods enable understanding of the reasons behind the choices made by AI models and solves the "black box"problem that is predominant in machine learn- ing. When applied to decentralised governance, XAI provides clarifications of AI's decision making in such areas as voting, resource distribution and the enactment of smart contracts. This way, the stakeholders are confident that the decision-making is fair and impartial and this is made possible by the use of XAI. This paper aims to find out more about the applicability of XAI concept in blockchain -based governance systems in terms of bias and fairness in automated decisions and explanation of the decisions made. The reasons why interpretability plays the crucial role in decentralized systems are explained with the help of the comparison between the classical artificial intelligence and the Xin intelligent. The study also looks at various use cases such as, Decentralized Autonomous Organizations (DAOs), and voting systems implemented on blockchain platforms and how XAI can enhance the performance of the governance systems. As this study shows, XAI is vital in building trust, improving responsibility, and guaranteeing balanced majorities in decentralized blockchain governance structures. © 2025 ieee.

关键词： Smart contract

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Leveraging IoT and Machine Learning for intelligent Water Quality Monitoring systems

Leveraging IoT and Machine Learning for Intelligent Water Qu...

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intelligent Control, computing and Communications (IC3), international conference on

作者： Gaurav Baranwal Kaushtubh Singh Ayush Gupta Harsh N Tiwari Tukur Gupta Department of Electronics and communication Engineering Ajay Kumar Garg Enginnering College Ghaziabad India

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527501

Water quality monitoring is a crucial aspect of public health, particularly in mitigating the risks associated with waterborne diseases and ensuring safe drinking water. Traditional monitoring methods are often labor-intensive, costly, and lack real-time capabilities, making them unsuitable for widespread and rural deployment. This paper examines the integration of advanced technologies, specifically the Internet of Things (IoT) and Machine Learning (ML), to design a sophisticated, low-cost water quality monitoring system. Leveraging an array of sensors, including pH, turbidity, temperature, total dissolved solids (TDS), and dissolved oxygen (DO), combined with the advanced embedded processor, the system ensures seamless data acquisition and processing. IoT enables continuous remote monitoring, while ML algorithms provide predictive analytics and intelligent anomaly detection to identify potential contaminants and trends. These value-driven solutions underscore the transformative potential of advanced technologies in revolutionizing water quality assessment. This review article carefully reviews the available literature on water quality assessment in order to lay out an assortment of conclusions on the concerns, problems, challenges, and research gaps that have emerged during the last few years. Research gaps are identified by thoroughly examining the previously suggested methodologies. The study presented in this article primarily identified the problems with the accuracy of the models, the generation of data collection mechanisms, and the types of data that were used in the suggested frameworks. Subsequently, research avenues towards smart water quality monitoring are offered by examining key concepts crucial to the expansion of this field of research.

关键词： Temperature sensors Machine learning Turbidity Water pollution Sensor systems Internet of Things Monitoring Water resources intelligent sensors Sensor arrays

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Evolution and Future Trends in Wireless Communication: From 2G to 6G Technologies 2

Evolution and Future Trends in Wireless Communication: From ...

引用

2nd international conference on Computational Intelligence, Communication Technology and Networking, CICTN 2025

作者： Goel, Deepanshu Jaiwal, Deepanshu Dhruv Chopra, Taruna School of Computer Applications Manav Rachna International Institute of Research & Studies Faridabad India

ISBN: (纸本)9798331530389

The journey from 2G to emerging 6G is impressive, mirroring the long evolutionary path of wireless communication technology. We address critical transitions in cellular networks in light of architectural transformation, performance metrics, and the enablers of new technologies. Key trends identified: from Kbps data rate growth exponentially in 2G to Tbps in 6G;a fall of latency from the 500-ms level to sub-millisecond latency;and more importantly, from human-centric communication to machine-centric communication. It will bring some breakthrough technologies, like terahertz communications, intelligent reflecting surfaces, and quantum computing integration, revolutionizing the network configuration and capability. 6G networks will highlight many unprecedented applications such as holographic communications and extended reality;however, that is not possible without addressing various challenges related to spectrum efficiency, energy optimization, and security challenges. This report synthesized technical literature, standardization documents, and industry insights to propose a roadmap of future wireless networks with innovative and AI-integrated spectrum utilization concepts and sustainable designs. The results are critical to researchers, policymakers, and industry stakeholders in the shaping of the next generation of wireless communication systems. © 2025 ieee.

关键词： Quantum computers

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IDAACS-SWS 2020 - 5th ieee international Symposium on Smart and Wireless systems within the international conferences on intelligent data acquisition and advanced computing systems, Proceedings

IDAACS-SWS 2020 - 5th IEEE International Symposium on Smart ...

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5th ieee international Symposium on Smart and Wireless systems within the international conferences on intelligent data acquisition and advanced computing systems, IDAACS-SWS 2020

ISBN: (纸本)9781728199603

The proceedings contain 58 papers. The topics discussed include: container filling level estimation using vibration resonance behavior;method of reliable data storage based on redundant residue number system;a scenario for a multi-UAV mapping and surveillance system in emergency response applications;remote sensing approaches for deforestation identification in Ukraine;automatic anomaly detection methodology for crop classification data using morphological features;adaptive radar system configuration tuning;investigation of hybrid beamforming in mmWave massive MIMO systems;an improved XGBoost model based on spark for credit card fraud prediction;losses assessment for winter crops based on satellite data and fuzzy logic;an improved K-means clustering algorithm;and embedded models realization platform in IoT.

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2016 ieee 3rd international Symposium on Wireless systems within the ieee international conferences on intelligent data acquisition and advanced computing systems, IDAACS-SWS 2016 - Proceedings

2016 IEEE 3rd International Symposium on Wireless Systems wi...

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3rd ieee international Symposium on Wireless systems within the ieee international conferences on intelligent data acquisition and advanced computing systems, IDAACS-SWS 2016

ISBN: (纸本)9781509043163

The proceedings contain 24 papers. The topics discussed include: NS3 simulation studies for optimized neighbor discovery in 6LoWPAN networks;integration and analysis of an extended ieee 802.15.4 modules with smartMAC and wake-on-radio functions into the network simulator NS3;automatic signal strength map construction in indoor positioning system based on round trip time of flight measurements and inertial navigation;non disjoint set covers approach for wireless sensor networks lifetime optimization;the multi-mode inertial tracking system for unconstrained indoor positioning;high Q impedance matching for RF energy harvesting applications;backhaul infrastructures in building automation systems: wired or wireless?;and radio module for fast real-time control of inverse triple pendulum.

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An Overview of Ontology Learning Methodologies and systems as a Subset of Ontology Engineering

An Overview of Ontology Learning Methodologies and Systems a...

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2025 international conference on intelligent Control, computing and Communications, IC3 2025

作者： Rahman, F. Lalnunthari Kalinga University Department of Cs & It Raipur India

ISBN: (纸本)9798331527495

The ontology functions as a universally accepted framework for the representation, exchange, and reuse of knowledge. Due to its importance, multiple approaches have been proposed for building ontologies. However, the process of constructing ontology is a challenging and time-consuming endeavor. Various strategies have been put in place to assist ontology engineers in addressing the obstacle of knowledge acquisition. This work seeks to offer a succinct introduction of ontology learning methods, examining several systems and tools for extracting ontologies, and concludes with a comparative summary. Furthermore, it explores contemporary concerns and key patterns in the development of ontology from written sources. © 2025 ieee.

关键词： Ontology Engineering Ontology Evaluation Ontology Learning Ontology Learning systems

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Proceedings of the 2018 ieee 4th international Symposium on Wireless systems within the international conferences on intelligent data acquisition and advanced computing systems, IDAACS-SWS 2018

Proceedings of the 2018 IEEE 4th International Symposium on ...

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4th ieee international Symposium on Wireless systems within the international conferences on intelligent data acquisition and advanced computing systems, IDAACS-SWS 2018

ISBN: (纸本)9781538675878

The proceedings contain 50 papers. The topics discussed include: the features of wireless technologies application for smart house systems;an improved binary whale optimization algorithm for feature selection of network intrusion detection;application of elephant herd optimization algorithm based on levy flight strategy in intrusion detection;hybrid MAC for low latency wireless communication enabling industrial HMI applications;the technology of the video stream intensity controlling based on the bit-planes recombination;the linguometric approach for co-authoring author's style definition;modified naive bayes algorithm for network intrusion detection based on artificial bee colony algorithm;and wrapper feature selection based on lightning attachment procedure optimization and support vector machine for intrusion detection.

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