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Dynamic Energy-Efficient Clustering Algorithms Using advanced Metaheuristics for Prolonged Network Lifetime in Wireless sensor Networks 4

Dynamic Energy-Efficient Clustering Algorithms Using Advance...

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4th International conference on Ubiquitous Computing and Intelligent Information systems, ICUIS 2024

作者： Sivakumar, T. Sathiya, A. Saravanan, M. Uma, G. Samson, S. Arivumani Elangovan, A. Dept. of Electronics & Communication Engg Karur639113 India Dept. of Electronics & Communication Engg Karur639113 India Annamalai University Faculty of Engineering & Technology Dept. of Electronics & Communication Engg Chidambaram608002 India Sathyabama Institute of Science and Technology Dept. of Mathematics Chennai600119 India Arunai Engineering College Dept. of Electronics & Communication Engg Tiruvannamalai606603 India

ISBN: (纸本)9798331529635

Wireless sensor Networks (WSNs) are pivotal in modern applications, yet challenges such as energy efficiency and network lifetime remain critical. This paper proposes a Dynamic Energy-Efficient Clustering Algorithm (DEECA) utilizing hybrid metaheuristics combining Egret Swarm Optimization and Genetic Algorithms. The proposed method dynamically selects cluster heads and optimizes clustering based on node energy, distance, and traffic conditions. Simulations were conducted on diverse WSN scenarios to evaluate energy consumption, network lifetime, packet delivery ratio, and throughput. Results demonstrate that DEECA outperforms traditional algorithms such as LEACH, HEED, and PSO by achieving a 20% increase in network lifetime and a 15% improvement in packet delivery ratio. Visual analyses include energy consumption trends, coverage heatmaps, and multi-metric radar plots. The findings validate DEECA's capability to enhance energy efficiency and scalability in WSNs, offering a robust framework for real-world deployments in resource-constrained environments. © 2024 IEEE.

关键词： Genetic algorithms

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Fall Detection System using mmWave sensor 2

Fall Detection System using mmWave Sensor

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2nd International conference on Sustainable Computing and Smart systems (ICSCSS)

作者： Marathe, Ashutosh Dandare, Gargi Dhoot, Vinit Dhamane, Vedant Bhuyar, Srushti Dighe, Aditya Vishwakarma Inst Technol Dept Multidisciplinary Engn Pune 37 Maharashtra India

ISBN: (纸本)9798350391558;9798350379990

Passive-Infrared (PIR) sensors have traditionally been used as motion detectors, but their effectiveness is restricted by a small area of coverage and an inability to discern between the presence and absence of living beings. As a result, they frequently require user-adjusted cut-off timers for simple automation jobs. While there are other ways to detect human presence, they are either more expensive to deploy or more invasive. But this picture has completely changed with the introduction of contemporary mmWave Smart sensors that use Frequency Modulated Continuous Wave (FMCW) radar technology. These advanced sensors offer precise differentiation between the presence and absence of living beings, ushering in a myriad of new applications. Notably, they remain unaffected by varying lighting conditions, inclement weather, or dust, ensuring consistent performance across diverse environments. Moreover, certain models of these smart sensors boast capabilities for non-contact and non-intrusive monitoring of human vital parameters, further expanding their utility. These smart sensors' digital tunability, which makes it simple for IoT developers to adjust complex parameters, is one of their main advantages. This increases their adaptability and simplifies their integration with other apps and systems. In terms of environmental sensing and human presence detection, mmWave Smart sensors mark a substantial advancement because to their increased performance, dependability, and versatility. Their widespread use is expected to spur innovation in a variety of sectors, including healthcare and home automation, and will usher increased comfort, safety, security and efficiency.

关键词： mmWave smart sensors presence detection vital monitoring IOT

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Investigation of Highly Sensitive and Linearly Responsive SAW Based Gas sensor for Better N2 Detection 4th

Investigation of Highly Sensitive and Linearly Responsive SA...

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4th EAI International conference on Cognitive Computing and Cyber Physical systems, IC4S 2023

作者： Harathi, Nimmala Pasuluri, Binduswetha Sarkar, Argha Maurya, Naveen Kumar Department of Electronics and Instrumentation Engineering Sree Vidyanikethan Engineering College Andhra Pradesh Tirupati517102 India Department of Electronics and Communication Engineering Vardhaman College of Engineering Telengana Shamshabad501218 India School of Computer Science and Engineering REVA University Karnataka Bangalore560064 India Department of Electronics and Communication Engineering Vishnu Institute of Technology Andhra Pradesh Bhimavaram534202 India

ISBN: (纸本)9783031488900

Surface acoustic wave sensors are becoming more and more essential in research. The research has advanced in such a way that SAW sensors are now used in many different fields. The application areas of SAW sensor include gas sensing, biosensor, measurement of many physical parameters like humidity, pressure, temperature and torque. In this study, the SAW sensor is presented as a nitrogen gas sensor. Nanomaterials are introduced to a conventional SAW sensor to strengthen the sensor's performance. The most frequently used nano - materials for applications in gas detection is ZnO. Comsol Multiphysics is used to design a 2D SAW-based gas sensor using ZnO as the sensing material. Finite element analysis (FEA) is used in sensor characterization. Testing is done to determine whether nitrogen gas is present or not in the sensor. The sensor's sensitivity varies depending on whether there is gas present or not while operating at the same frequency. The sensor's frequency range is 3 MHz. Nitrogen gas is present in concentrations varying from 10 ppm to hundreds of ppm. With a rise in concentration, the sensor showed excellent linearity. © 2024, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Zinc oxide

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2 μm self-sweeping fiber laser oscillator for LIDAR applications 12

2 μm self-sweeping fiber laser oscillator for LIDAR applica...

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conference on advanced sensor systems and applications XII

作者： Budarnykh, A. E. Lobach, I. A. Kablukov, S., I Inst Automat & Electrometry SB RAS 1 Ac Koptyuga Ave Novosibirsk 630090 Russia Novosibirsk State Univ 1 Pirogova Str Novosibirsk 630090 Russia

ISBN: (纸本)9781510657090;9781510657083

We report on a Tm-doped self-sweeping fiber laser operating at 2 mu m spectral range with a stabilized pulse repetition rate. Lasers with self-induced wavelength sweeping are bright alternative to narrow-band tunable laser sources. One disadvantage of self-sweeping lasers is fluctuations in the pulse repetition rate. In this paper for the purpose of optimization of intensity dynamics, the technique for pulse train shaping with acousto-optical modulator synchronized with laser pulses is proposed and demonstrated. Synchronization of the AOM frequency with the laser pulses allowed us to improve pulse train stability and reduce relative stability error down to 1%. The developed self-sweeping laser brings up new possibilities for remote gas analysis and LIDAR applications.

关键词： lidar self-sweeping stabilization pulse repetition rate remote measurements

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RGB Illuminant Compensation Using Spectral Super-resolution and Weighted Spectral Color Correction 31

RGB Illuminant Compensation Using Spectral Super-resolution ...

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31st Color and Imaging conference - Color Science and Engineering systems, Technologies, and applications, CIC 2023

作者： Buzzelli, Marco Tchobanou, Mikhail K. Schettini, Raimondo Bianco, Simone Department of Informatics Systems and Communication University of Milano - Bicocca Milan20126 Italy Moscow Research Center Huawei Technologies Co. Ltd. Russia

ISBN: (纸本)9780892083640

This paper presents a novel approach for spectral illuminant correction in smartphone imaging systems, aiming to improve color accuracy and enhance image quality. The methods introduced include Spectral Super Resolution and Weighted Spectral Color Correction (W-SCC). These techniques leverage the spectral information of both the image and the illuminant to perform effective color correction. Experimental evaluations were conducted using a dataset of 100 synthetic images, whose acquisition is simulated using the transmittance information of a Huawei P50 smartphone camera sensor and an Ambient light Multispectral sensor (AMS). The results demonstrate the superiority of the proposed methods compared to traditional trichromatic pipelines, achieving significant reductions in colorimetric errors measured in terms of ∆E94 units. The W-SCC technique, in particular, incorporates per-wavelength weight optimization, further enhancing the accuracy of spectral illuminant correction. The presented approaches have valuable applications in various fields, including color analysis, computer vision, and image processing. Future research directions may involve exploring additional optimization techniques and incorporating advanced machine learning algorithms to further advance spectral illuminant correction in smartphone imaging systems. © 2023 Society for Imaging Science and Technology.

关键词： Smartphones

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International conference on advanced Intelligent systems for Sustainable Development, AI2SD 2022

International Conference on Advanced Intelligent Systems for...

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International conference on advanced Intelligent systems for Sustainable Development, AI2SD 2022

ISBN: (纸本)9783031263835

The proceedings contain 250 papers. The special focus in this conference is on advanced Intelligent systems for Sustainable Development. The topics include: Artificial Intelligence for Stroke Prediction;the Role of Uncertainty Avoidance, Trust, and Land Tenure in Predicting the Adoption of Green IoT Irrigation systems in Morocco: An Improved Model;the Complete Mitochondrial Genome of Agapornis roseicollis;cross-Talk Between Intramolecular and Intermolecular Amino Acid Networks Orchestrates the Assembly of the Cholera Toxin B Pentamer via the Residue His94;identification of Responsibilities for the Use of Devices Incorporating Artificial Intelligence in Health: Systemic Review;artificial Intelligence Recognition of Human Body Actions for Bionic applications (New Combination of Indicator Parameters);parkinson’s Disease Recognition from Speech Signal Using Discrete Wavelet Transform, Delta, Delta-Delta, and K-Nearest Neighbor;triple Negative Breast Cancer and Non-Triple Negative Breast Cancer Recurrence Prediction Using Boosting Models;classifiers-Based Personality Disorders Detection;A Word-Based Moroccan Sign Language Dataset for Emergency Situations: Use Case COVID-19;The Use of ISFET for the Measurement of Phosphorus in Moroccan Soils;Exploring the Performance of Traditional Word Embeddings and Contextual Embedding Models for COVID-19 Sentiment Analysis;mycoflora of Dormant Crocus Sativus Corms in Morocco;Optimized DL-Based Model for Hypertrophic Cardiomyopathy CMR Images;low-Cost Water Conductivity sensor Based on a Parallel Plate Capacitor for Precision Agriculture;literature Review of Deep Learning for Tuberculosis Based on Chest Imaging;inventory of Corticolous Lichens and Argan Wood Fungi;detection of Alpha-Cypermethrin in Food Using a sensor Array Coupled to Machine Learning Algorithms: The Case of the Wild Edible Swiss Chard;artificial Intelligence at the Service of Precision Medicine;foreword.

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International conference on advanced Intelligent systems for Sustainable Development, AI2SD 2022

International Conference on Advanced Intelligent Systems for...

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International conference on advanced Intelligent systems for Sustainable Development, AI2SD 2022

ISBN: (纸本)9783031352508

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Orbital angular momentum with the approach of using in sub-6GHz 5G mobile communications for wireless applications 6

Orbital angular momentum with the approach of using in sub-6...

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6th Global Power, Energy and Communication conference (GPECOM)

作者： Khorasani, Seyed Ali Zakeri, Hassan Moradi, Gholamreza Alibaktishikenari, Mohammad See, Chan Hwang Limiti, Ernesto Sharif Univ Technol Dept Elect Engn Tehran Iran Amirkabir Univ Technol Dept Elect Engn Tehran Iran Univ Carlos III Madrid Dept Signal Theory & Commun Madrid 28911 Spain Edinburgh Napier Univ Sch Eng & Built Environm 10 Colinton Rd Edinburgh EHIO 5DT Midlothian Scotland Univ Roma Tor Vergata Dept Elect Engn I-00133 Rome Italy

ISBN: (纸本)9798350351088;9798350351095

This paper discusses the effect of the orbital angular momentum on the fifth generation of mobile communication. A new generation of mobile requires advanced antenna systems capable of sending and receiving massive amounts of data. The beamforming method and multi-input multi-output systems are proposed solutions to increase the communication network's channel capacity by using a six-element multiple-input multiple-output (MIMO) antenna system working in the N77 (3.2-4.2 GHz) and the N79 (4.4 GHz to 5.0 GHz) frequency bands for smartphone devices. The OAM, an inherent feature of electromagnetic waves, is a suitable solution for increasing channel capacity. This feature will increase channel capacity by producing orthogonal modes. Using antenna arrays is an effective way to produce these modes. The results of FEKO simulations show the capability of this method.

关键词： Channel capacity

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Plasmon-based SMSMS optical fiber sensor structure for creatinine detection in aquaculture industry 12

Plasmon-based SMSMS optical fiber sensor structure for creat...

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conference on advanced sensor systems and applications XII

作者： Liu, Xuecheng Li, Muyang Singh, Ragini Zhang, Bingyuan Kumar, Santosh Liaocheng Univ Sch Phys Sci & Informat Technol Shandong Key Lab Opt Commun Sci & Technol Liaocheng 252059 Shandong Peoples R China Liaocheng Univ Coll Agron Liaocheng 252059 Shandong Peoples R China

ISBN: (纸本)9781510657090;9781510657083

In this study, a plasmon sensor based on a core mismatch optical fiber structure is proposed for measuring various creatinine concentrations. Creatinine is an important clinical biomarker for diabetes, kidney disease, renal failure, and muscle atrophy. The single-mode fiber (SMF) and multi-mode fiber (MMF) are used to fabricate the SMF-MMF-SMF-MMF-SMF (SMSMS) structure. Further, SMSMS fiber structure is etched with hydrofluoric (HF) acid, that results in more evanescent fields at the core-cladding interface. Gold nanoparticles (AuNPs) are immobilized on the surface of the optical fiber structure to activate the LSPR phenomenon. To validate the sensor's performance, the sensor's sensitivity, reusability, reproducibility, and selectivity are tested. The experimental results demonstrate that the fiber-optic sensor based on the SMSMS structure is capable of measuring creatinine concentrations over a wide range in aquaculture industry. This provides an excellent opportunity for the sensor to be used in biomedicine.

关键词： Aquaculture industry creatinine gold nanoparticles optical fiber biosensor SMSMS structure

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International conference on advanced Intelligent systems for Sustainable Development, AI2SD 2022

International Conference on Advanced Intelligent Systems for...

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International conference on advanced Intelligent systems for Sustainable Development, AI2SD 2022

ISBN: (纸本)9783031352478

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