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Graphene oxide-coated microbottle resonators for relative humidity sensing

Optoelectronics Letters 2024年第7期20卷 400-405页

作者： Huda Adnan Zain Malathy Batumalay Md Ashadi Md Johari Hazli Rafis Abdul Rahim Sulaiman Wadi Harun Department of Electrical Engineering Faculty of EngineeringUniversity of MalayaKuala Lumpur 50603Malaysia Faculty of Data Science and Information Technology INTI International UniversityNilai 71800Malaysia1 Faculty of Electrical and Electronic Engineering Technology Universiti Teknikal Malaysia MelakaMelaka 76100Malaysia Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia MelakaMelaka 76100Malaysia

Graphene oxide(GO)is a 2D coating material used to improve fiber optics sensors’response to relative *** resonators(MBRs)have garnered more attention as sensing media *** MBR with a 190μm diameter was coated with ***,tapered fiber light coupling was used to investigate the relative humidity sensing performance in the range of 35—70%RH at 25℃.The MBR showed a higher Q factor before and after GO *** sensitivity of 0.115 dB/%RH was recorded with the 190μm GO-coated MBR sample compared to a sensitivity of 0.022 dB/%RH for the uncoated MBR *** results show that the MBR can be used in fiber optic sensing applications for environmental sensing.

关键词： humidity oxide bottle

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Reliable informational Data and Secured Deviation Notification over Networks Using IOT

Reliable Informational Data and Secured Deviation Notificati...

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2023 IEEE International Conference on Recent Trends in Electronics and Communication, ICRTEC 2023

作者： Vyshali Rao, K.P. Ramisetty, Srividya Dhanalakshmi, M. Cmr Institute of Technology Department of Information Science and Engineering Bangalore India New Horizon College of Engineering Department of Computer Science and Engineering India

ISBN: (纸本)9798350396195

The need of uninterrupted services from servers, networks and databases in the current environment relying completely on computing technologies. This paper implements Automatic database duplication with one master database server and multiple slave database servers. The proposed system ensures slave database server replicates data of master server which can be used to restore services in case master server fails. Existing method does this with human intervention which is a time consuming process. Therefore, the proposed system ensures to implement automatic failover capabilities with relatively low downtime and notifying the same using smart alert system. The alert mechanism includes sending an encrypted message notifying the master failure, any deviation from normal working of automatic up gradation software. The messages exchanged are AES encrypted using Message Queuing Telemetry Transport (MQTT) as IOT protocol. The proposed system implemented with Arduino, Sensors and java keycards. Results prove automatic failover utilizes less resources and system downtime is almost zero compared to manual failover. Analysis of performance, System downtime, time estimation is carried out to check the time required for key generation and encryption. © 2023 IEEE.

关键词： Database systems

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KSMOTEEN: A Cluster Based Hybrid Sampling Model for Imbalance Class Data 6th

KSMOTEEN: A Cluster Based Hybrid Sampling Model for Imbalanc...

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6th International Conference on Innovative Computing and Communication, ICICC 2023

作者： Dhamal, Poonam Mehrotra, Shashi Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Andhra Pradesh Vaddeswaram India Department of Computer Science and Information Technology Teerthanker Mahaveer University Moradabad India

ISBN: (纸本)9789819940707

Classification accuracy for imbalance class data is a primary issue in machine learning. Most classification algorithms result in insignificant accuracy when used over class imbalance data. Class imbalance data exist in many sensitive domains such as medicine, finance, etc., where infrequent events such as rare disease diagnoses and fraud transactions are required to be identified. In these domains, correct classification is essential. The paper presents a hybrid sampling model called KSMOTEEN to address class imbalance data. The model uses a clustering approach, the K-means clustering algorithm, and combines the SMOTEEN technique. The experimental result shows, the KSMOTEEN outperforms some existing sampling methods, thus improving the performance of classifiers for class imbalance data. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Diagnosis

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Mutual Coupling Reduction in MIMO Antenna for 5G Application by Self-Decoupled Method 2

Mutual Coupling Reduction in MIMO Antenna for 5G Application...

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2nd IEEE International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies, ViTECoN 2023

作者： Rashid, Aamir Shah, Syed Shahid Hussain, Irshad Jalal, Muhammad Ramalakshmi, R. Ramachandran, V. University of Engineering and Technology Faculty of Electrical and Computer Engineering Peshawar Pakistan College of Computer and Information Engineering King Saud University Department of Computer Engineering Riyadh Saudi Arabia Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamil Nadu Virudhunagar India Gokaraju Rangaraju Institute of Engineering and Technology Department of Computer Science and Engineering Telangana Hyderabad500090 India

ISBN: (纸本)9798350347982

This paper shows a simple, compact and small 8×8 MIMO antenna. The ability of MIMO antennas is to broadcast signals in a various patterns and polarizations is extremely advantageous for contemporary communications systems. Excellent diversity gain (DG > 9.99dB), a low envelop correlation coefficient (ECC 0.002), and extremely low mutual coupling (S2l≥ 27) dB are all characteristics of the constructed MIMO antenna. S-boundaries, energy pattern characteristics, maximum gain, diversity gain, and envelop coefficient are used to evaluate the antenna performance. The mutual Coupling is the most basic fundamental parameter for the MIMO antenna, was likewise analyzed and it was observed that its value is under -27dB. self-decoupled MIMO antennas have a loop type ground antenna which reduces the requirement for extra decoupling structures or a postponed tuning method Antennas for ground radiation and loop antenna are magnetic-current and electric-current components, respectively. The suggested MIMO antennas feature a self-decoupled despite the antenna parts being near together, reduced profile and easy fabrication advantages the suggested, a revolutionary approach called MIMO antenna system is expected to offer excellent isolation and minimal mutual coupling, making it suitable for 5G applications. © 2023 IEEE.

关键词： MIMO systems

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Optimized Weighted Ensemble Using Dipper Throated Optimization Algorithm in Metamaterial Antenna

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computers, Materials & Continua 2022年第12期73卷 5771-5788页

作者： Doaa Sami Khafaga El-Sayed M.El-kenawy Faten Khalid Karim Sameer Alshetewi Abdelhameed Ibrahim Abdelaziz AAbdelhamid Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt General Information Technology Department Ministry of DefenseThe Executive AffairsExcellence Services DirectorateRiyadh11564Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia

Metamaterial Antennas are a type of antenna that uses metamaterial to enhance *** bandwidth restriction associated with small antennas can be solved using metamaterial *** learning is gaining popularity as a way to improve solutions in a range of *** learning approaches are currently a big part of current research,and they’re likely to be huge in the *** model utilized determines the accuracy of the prediction in large *** goal of this paper is to develop an optimized ensemble model for forecasting the metamaterial antenna’s bandwidth and *** basic models employed in the developed ensemble are Support Vector Regression(SVR),K-NearestRegression(KNR),Multi-Layer Perceptron(MLP),Decision Trees(DT),and Random Forest(RF).The percentages of contribution of these models in the ensemble model are weighted and optimized using the dipper throated optimization(DTO)*** choose the best features from the dataset,the binary(bDTO)algorithm is *** proposed ensemble model is compared to the base models and results are recorded and analyzed *** addition,two other ensembles are incorporated in the conducted experiments for *** ensembles are average ensemble and K-nearest neighbors(KNN)-based *** comparison is performed in terms of eleven evaluation *** evaluation results confirmed the superiority of the proposed model when compared with the basic models and the other ensemble models.

关键词： Metamaterial antenna dipper throated optimization feature selection parameters prediction

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CapsiScan: Autonomous Robotic System for Monitoring and Managing Greenhouse-Based Capsicum Farms 5

CapsiScan: Autonomous Robotic System for Monitoring and Mana...

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5th International Conference on Advancements in Computing, ICAC 2023

作者： Jayakody, E.R.T. Rabel, W.T.T. Estrop, R.D.V. Herath, K.G.L.P. Harshanath, S.M.B. Abeygunawardhana, Pradeep K. W. Sri Lanka Institute Information Technology Dept. of Computer Systems Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Dept. of Software Engineering Colombo Sri Lanka

ISBN: (纸本)9798350358131

The automation of processes in greenhouses provides a significant advantage to the agricultural sector. Due to the rapid growth of the population, increasing demand for food and labor shortage make the autonomous monitoring and management of agricultural work more important. Capsicum is a largely consumed vegetable in South Asia, which can be efficiently grown in greenhouses. Although there are many capsicum farms, they lack quality and efficient production to match the increasing demand. This paper proposes a robotic system for use in capsicum greenhouses that can navigate and monitor the plants to identify diseases, track the yield, and take remediation actions. The robot navigates to each plant in the greenhouse autonomously by using the SLAM approach with the use of laser range sensor data. The 4 DoF robotic arm of the robot has a camera and a sprayer attached to its end to investigate plants and spray remedies to diseased plants. The robotic arm moves around the plant to capture the images to detect deceases and count the pods to estimate the yield. The sprayer of the robot sprays remedies precisely to targeted plants to control pests and diseases. The system was successfully implemented and tested with the proposed functions. © 2023 IEEE.

关键词： Greenhouses

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A novel medical image data protection scheme for smart healthcare system

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CAAI Transactions on Intelligence technology 2024年第4期9卷 821-836页

作者： Mujeeb Ur Rehman Arslan Shafique Muhammad Shahbaz Khan Maha Driss Wadii Boulila Yazeed Yasin Ghadi Suresh Babu Changalasetty Majed Alhaisoni Jawad Ahmad School of Computer Science and Informatics Cyber Technology InstituteDe Montfort UniversityLeicesterUK Department of Biomedical Engineering University of GlasgowGlasgowUK School of Computing Engineering and the Built EnvironmentEdinburgh Napier UniversityEdinburghUK Robotics and Internet‐of‐Things Laboratory Prince Sultan UniversityRiyadhSaudi Arabia Department of Computer Science Al Ain UniversityAl AinUnited Arab Emirates Department of Computer Engineering College of Computer Science King Khalid UniversityAbhaSaudi Arabia Computer Sciences Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia

The Internet of Multimedia Things(IoMT)refers to a network of interconnected multimedia devices that communicate with each other over the ***,smart healthcare has emerged as a significant application of the IoMT,particularly in the context of knowledge‐based learning *** healthcare systems leverage knowledge‐based learning to become more context‐aware,adaptable,and auditable while maintain-ing the ability to learn from historical *** smart healthcare systems,devices capture images,such as X‐rays,Magnetic Resonance *** security and integrity of these images are crucial for the databases used in knowledge‐based learning systems to foster structured decision‐making and enhance the learning abilities of ***,in knowledge‐driven systems,the storage and transmission of HD medical images exert a burden on the limited bandwidth of the communication channel,leading to data trans-mission *** address the security and latency concerns,this paper presents a lightweight medical image encryption scheme utilising bit‐plane decomposition and chaos *** results of the experiment yield entropy,energy,and correlation values of 7.999,0.0156,and 0.0001,*** validates the effectiveness of the encryption system proposed in this paper,which offers high‐quality encryption,a large key space,key sensitivity,and resistance to statistical attacks.

关键词： data analysis medical image processing security

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Unselfish Cooperative Game-Based Communication Optimization of ECG Monitoring Network 22

Unselfish Cooperative Game-Based Communication Optimization ...

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2022 International Conference on Computational Infrastructure and Urban Planning, CIUP 2022

作者： Qian, Lanmei Zhang, Haifei Xu, Huazhen Chen, Hongyun School of Computer and Information Engineering Nantong Institute of Technology China

ISBN: (纸本)9781450396363

With the increasing incidence rate of cardiovascular diseases, the prevention and treatment of heart disease has been highly concerned. people have developed a variety of real-time ECG monitoring systems, and some even built a wireless sensor network (WSN) suitable for ECG monitoring to early detect and treat heart disease in time. ECG monitoring network is a special kind of wireless body area network based on IEEE802.15.4 communication protocol. To study the communication technology of ECG monitoring network is of great importance. The communication mechanism and data frame structure are analyzed, and the node energy efficiency model and transmission delay model are established;A unselfish cooperative game algorithm combined with light and low profit operator is proposed to overcome the conflict between energy consumption and time delay and realize the balance between them. Experiments showed that the proposed algorithm could effectively reach equilibrium of the two targets. Moreover, compared with Multi-objective Evolutionary Algorithm and Evolutionary cooperative game Algorithm, it had better performance in convergence speed and global convergence. © 2022 ACM.

关键词： Electrocardiograms

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Evaluation of Focused Web Crawlers in Real-World Scenarios 3

Evaluation of Focused Web Crawlers in Real-World Scenarios

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3rd International Conference on Technological Advancements in Computational Sciences, ICTACS 2023

作者： Dhabliya, Dharmesh Alawadi, Ahmed Hussein Rai, Vijay Kumar Velusudha, N.T. Sarathy, K. Vishwakarma Institute of Information Technology Department of Information Technology Pune India College of Technical Engineering The Islamic University Najaf Iraq Ies College of Technology Department of Computer Science & Engineering Bhopal India Prince Shri Venkateshwara Padmavathy Engineering College Electronics and Communication Engineering Chennai India New Prince Shri Bhavani College of Engineering and Technology Department of Computer Science & Engineering India

ISBN: (纸本)9798350342338

This study evaluates the practical performance of focused web crawlers, tools essential for extracting targeted data from the ever-expanding web. Moving beyond theoretical analysis, we configure crawlers for specific real-world scenarios such as academic research and social media monitoring, optimizing them for precise data retrieval across a dataset of 1,000 domains and 10 million URLs. Performance is measured through meticulous logging of resource use and data freshness, while quality is ensured via cross-verification with a benchmark dataset. Ethical compliance is rigorously maintained throughout the process. The comparative analysis of different crawlers provides a framework for their selection and deployment, culminating in actionable recommendations for their use in various industries, reflective of the complex demands faced by users in a dynamic digital landscape. © 2023 IEEE.

关键词： ASD prediction communication comparative analysis coverage data extraction diagnosis early detection efficiency ensemble techniques evaluation feature selection Focused web crawlers freshness hyperparameter tuning information retrieval machine learning model training multi-modal neuroimaging data neurodevelopmental disorder performance assessment predictive accuracy real-world scenarios repetitive behaviors social interaction validation

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Developing Support Vector Machines for Accurate Medical Image Analysis

Developing Support Vector Machines for Accurate Medical Imag...

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2024 International Conference on Optimization Computing and Wireless Communication, ICOCWC 2024

作者： Jaison, Feon Pandey, Viiay Kumar Bishnoi, Ashish Department of Computer Science and Information Technology Bangalore India Vivekananda Global University Department of Mechanical Engineering Jaipur India Teetthanker Mahaveer University Department of Computing Sciences and Information Technology Uttar Pradesh Moradabad India

ISBN: (纸本)9798350383348

help vector machines (SVMs) have become increasingly famous in scientific photo analysis because of their capacity to model complex relationships among inputs and outputs. SVMs are exceptionally high-quality because of their advanced overall performance in excessive-dimensional information units and their ability to address non-linear information. In clinical image evaluation, SVMs are used for various packages, including detecting tumors in Magnetic Resonance Imaging (MRI) and classifying lesions in Computed Tomography (CT) scans. No matter its benefits, growing dependable SVMs for scientific photograph evaluation remains a venture because of the uncertainty associated with scientific pics that regularly require information preprocessing and feature extraction before education. This paper surveys current work on developing robust SVMs for medical photo analysis, from preprocessing to publish-processing, and affords a comprehensive evaluation of the cutting-edge state of the art. mainly;we discuss diverse preprocessing and function extraction strategies that can be employed to improve performance, in addition to publish-processing strategies that can be used to enhance the general accuracy of the version. We also talk about ability directions for future research in this field. © 2024 IEEE.

关键词： Support vector machines

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