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Enhancing the Security of Healthcare Data in Cloud computing Environments 2

Enhancing the Security of Healthcare Data in Cloud Computing...

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

作者： Sajwan, Himani Kumari, Anjali Chauhan, Garima Kumar, Raj School of Computer Applications Manav Rachna International Institute of Research & Studies Faridabad India

ISBN: (纸本)9798331530389

Cloud computing has completely evolved the way health care data is managed, but it also introduces critical security vulnerabilities that can compromise the privacy of patient information and threaten regulatory compliance. Herein, we present one of the most severe challenges: securing EHRs in a cloud environment with access to data while maintaining HIPAA compliance. We introduce a novel hybrid framework combining homomorphic encryption with blockchain-based access control and dynamic audit logging. The framework was used with a three-phase experimental approach and was deployed over five major healthcare institutions while being analyzed for 2.3 million patient records over 18 months. Results showed a high success rate of 99.97% against denial-of-service attacks while showing reductions in latency time about data retrieval up to 3 4 % compared to traditional methods of encryption. Security-incident-based variation was reduced up to 78%, and 99.99% data integrity was achieved during concurrent access scenarios. Cost analysis shows that overheads in security management amount to a reduction of 4 5 % against conventional systems. Our results show that the proposed framework is far better for healthcare data security, along with improved operational efficiency and regulatory compliance. This work contributes to the literature by providing a scalable and cost-efficient solution addressing the most complex security requirements of modern health care systems in cloud environments. The fact that the framework is implemented successfully in real life seems to reflect its effectiveness for mass-scale implementation in health organizations. © 2025 IEEE.

关键词： Cloud security

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Diabetic Foot Ulcer Classification Using Deep Learning Approach 8th

Diabetic Foot Ulcer Classification Using Deep Learning Appro...

引用

8th IFIP TC 12 international conference on Computer, communication and Signal Processing, ICCCSP 2024

作者： Sivakamasundari, P. Niranjana, G. Department of Computer Science and Engineering SRM Institute of Science and Technology Tamil Nadu Kattankulathur India Department of Computing Technologies SRM Institute of Science and Technology Tamil Nadu Kattankulathur India

ISBN: (纸本)9783031736162

Podiatrist diagnosis and lesion localization are used as current testing approaches for Diabetic Foot ulcers (DFU). Current systems for automation concentrate on either categorization or division. One of the most common metabolic conditions, Diabetes (also called diabetes mellitus), is brought on by the pancreas incapacity to generate sufficient anti hyper-glycemic hormone to control glycemia levels. It may cause "Diabetic Peripheral Neuropathy," a collection of nerve diseases that can develop if the blood glucose level is left uncontrolled and unmanaged. Blood glucose levels may be efficiently maintained by recognising diabetes initially through constant surveillance and screenings. Using image processing methods such as data stretching with Deep Learning, image reduction and improvement, image division, and feature extraction, this paper offers a thorough approach for analysing thermal scans of the diabetic foot. By using these techniques, doctors may assess and track a patient's condition with fewer examinations. In this work, EfficientNetB3 architecture is compared with other Deep Learning models for accuracy in DFU identification. To create a powerful deep learning model, we gathered an extensive collection of 1,775 DFU photos. The basis of belief for this data gathering was created by two medical experts using annotator software to define the DFU region of interest. It took 48 ms to figure out a single image and 57.2 MB to validate the model. EfficientnetB3 got an average mean accuracy of 93%. This work demonstrates the effectiveness of Deep Learning for DFU localization in real-time, which could have improved with the use of a larger data set. © IFIP international Federation for Information Processing 2025.

关键词： Diagnosis

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Soft-Starting of BLDC Motor Using Model Predictive control for Lightweight Electric Vehicles

Soft-Starting of BLDC Motor Using Model Predictive Control f...

引用

Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： Sesharanjith M Arunkumar S Darshan K Subash Bharathi A Electrical and Electronics Engineering Kumaraguru College of Technology Coimbatore Tamil Nadu

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

This Project focuses on soft starting of a Brushless DC Motor (BLDCM) with arrangement of Landsman Converter and Voltage Source Inverter (VSI). This innovative configuration incorporates Model Predictive control for BLDCM propulsion. This arrangement eliminates the initial inrush current and initial high torque. The converter is made to operate to maneuver and regulate the input DC voltage fed to the voltage source inverter thereby enabling precise control over the BLDCM speed, hence the landsman converter takes care of the speed control of the BLDCM by gradually applying the voltage to VSI, the switching burden of VSI is reduced. As a result, the VSI switches now operate at low-frequency signals, so switching losses of the system are minimized significantly. The project's performance evaluation utilizes the MATLAB-Simulink platform, ensuring a thorough and reliable assessment of the overall system's capabilities. Usage of Model Predictive control helps in gradual increase voltage during sudden loading and unloading conditions of the vehicle. Based on the iterations it keeps updating itself for the gradual increase in voltage waveforms.

关键词： Torque Voltage source inverters Motors Electric vehicles control systems Reliability Voltage control Stress Inrush current Predictive control

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Voice over Internet Protocol: Custom SIP Server with QoS Optimization for Real-Time communication 3

Voice over Internet Protocol: Custom SIP Server with QoS Opt...

引用

3rd international conference on Intelligent Data communication Technologies and Internet of Things, IDCIoT 2025

作者： Dinesh Krishna, B.V. Yogendrasai, P. Rajeev, S. Rajagopal, Shinu M. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

VoIP is a revolutionary technology for transmission of voice over internet protocol than from plain telephony systems. But current VoIP solutions have some important issues which are packet loss, latency, and jitter especially when the network is in motion. This work outlines the design, implementation and performance of a locally developed VoIP system which includes a SIP Server Node, Sender Node and a Receiver Node. The SIP Server Node was designed nearly from the ground up to handle session initiation, packet forwarding, and adaptive QoS control. Both Sender and Receiver Nodes had facilities to record, compress and playback audio. The system’s performance was evaluated in a LAN environment, achieving significant improvements in Quality of Service (QoS) metrics: achieving low latency under 150 ms, 95% packet recovery and achieving a good audio quality with the MOS of 4.2. Evaluating the obtained results, it can be concluded that the proposed system is efficient in handling the issues of the packet-switched network and providing high-quality real time voice communication. © 2025 IEEE.

关键词： Packet loss

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Data Orchestration Platform for AI Workflows Execution Across computing Continuum 15

Data Orchestration Platform for AI Workflows Execution Acros...

引用

15th international conference on Cloud computing and Services Science, CLOSER 2025

作者： Arcas, Gabriel Ioan Cioara, Tudor Engineering and Data Solutions Department Bosch Engineering Center Cluj-Napoca Romania Computer Science Department Technical University of Cluj Napoca Romania

ISBN: (纸本)9789897587474

Cloud AI technologies have emerged to exploit the vast amount of data produced by digitized activities. However, despite these advancements, they still face challenges in several areas, including data processing, achieving fast response times, and reducing latency. This paper proposes a data orchestration platform for AI workflows, considering the computing continuum setup. The edge layer of the platform focuses on immediate data collection, the fog layer provides intermediate processing, and the cloud layer manages long-term storage and complex data analysis. The orchestration platform incorporates the Lambda Architecture principles for flexibility in managing batch processing and real-time data streams, enabling effective management of large data volumes for AI workflows. The platform was used to manage an AI workflow dealing with the prediction of household energy consumption, showcasing how each layer supports different stages of the machine learning pipeline. The results are promising the models are being trained, validated, and deployed effectively, with reduced latency and use of computational resources. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Data streams

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Performance Measurement of LoRa Modules for Extending Smart Applications to The Things Network 5

Performance Measurement of LoRa Modules for Extending Smart ...

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5th international conference on Advances in Electrical, Electronics and computing Technology, EECT 2025

作者： Khoury, Afifi Al-Zoubi, Abdallah National Electric Power Company Amman Jordan Princess Sumaua University for Technology Amman Jordan

ISBN: (纸本)9798331541545

The performance of three LoRa modules with similar characteristics and designs was tested to select suitable options for smart applications. The modules were tested in a specific location in Jordan, which has unique terrains and weather conditions. A GPS module was added to simplify measurements of location and elevation. The data collected included the signal-to-noise ratio (SNR), the received signal strength indicator (RSSI), and benchmark sensor values for temperature and humidity. A Blynk server and Google Sheets scripts facilitated the real-time tracking process and automation of data collection. The results on signal behavior with distance should provide a guide in LoRa module design specification. A low-cost LoRa development board, which achieved over 7.5 Km in range and provided adequate signal stability, was utilized with a gateway to create a LoRaWAN-based system for smart applications. Distribution system. Further integration to The Things Network (TTN) produced promising outcomes for the LoRaWAN-based system, highlighting its potential for sustainable water management solutions. © 2025 IEEE.

关键词： Machine-to-machine communication

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RVCC: Congestion control to Reduce Victim Flows in Data Center Networks 20th

RVCC: Congestion Control to Reduce Victim Flows in Data Ce...

引用

20th IFIP WG 10.3 international conference on Network and Parallel computing, NPC 2024

作者： Dai, Lang Tang, Lu School of Informatics Xiamen University Fujian China

ISBN: (纸本)9789819628636

As data center network topologies become increasingly complex and network traffic continues to surge, congestion control has emerged as a formidable challenge. Concurrently, the utilization of lossless networks can lead to issues such as PFC storms and PFC deadlocks. Our research indicates that existing end-to-end congestion control protocols are insufficient in fully utilizing bandwidth or responding promptly to congestion. In this paper, we introduce RVCC, a PFC-based hop-by-hop congestion control algorithm designed to address the adverse effects of PFC in lossless networks, thereby optimizing bandwidth utilization. RVCC achieves rapid and fine-grained congestion control through queue selection and switch communication. Experimental results obtained from the NS3 simulation demonstrate that RVCC significantly reduces tail latency and average latency compared to state-of-the-art algorithms. © IFIP international Federation for Information Processing 2025.

关键词： Bandwidth

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The application of intelligent optical sensor networks in industrial automation 5

The application of intelligent optical sensor networks in in...

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5th international conference on Telecommunications, Optics, and Computer Science, TOCS 2024

作者： Yang, Qiwei Chen, Tao Li, Rui Tian, Zhen Fuzhou University Fuzhou China Chongqing University of Posts and Telecommunications Chongqing China University of Glasgow Glasgow United Kingdom

ISBN: (纸本)9781510691667

With the advancement of industrial automation, Wireless Sensor Networks (WSNs), particularly those incorporating optical sensing technologies, have shown great potential in areas such as industrial process monitoring and equipment condition management due to their flexible deployment, real-time environmental sensing capabilities, and reliable automation control advantages. This paper comprehensively evaluates the role of wireless sensor networks, with emphasis on optical sensing nodes, in the field of industrial automation through literature review, demand analysis, and analysis of typical application cases. The research shows that compared to traditional wired systems, wireless sensor networks integrated with optical sensing elements enable more flexible layouts and provide real-time, accurate, and reliable environmental monitoring and process control, including precise optical measurements for quality inspection and process optimization, thereby improving production efficiency, safety, and resource utilization efficiency. However, this technology also faces technical challenges such as network reliability, optical signal interference, and system security that need to be overcome. Overall, wireless sensor networks with optical sensing capabilities are driving industrial automation systems towards flexibility, intelligence, and sustainability, despite some technical challenges that remain to be addressed. This study provides practical theoretical support and solution strategy references for the application of wireless sensor network technology with optical sensing in industrial automation. © 2025 SPIE.

关键词： Fault prediction Industrial process control Intelligent optical sensor networks Optical sensing Wireless communication

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Device Parameter Variation for Gate Engineered Silicon Nanowire (SiNW) MOSFET 5

Device Parameter Variation for Gate Engineered Silicon Nanow...

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5th IEEE international conference on Advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2025

作者： Lovely, P. Subashree, K.S. Ragavi, J. Sangeetha Anand, I. Vivek Samuel, T.S. Arun Sathishkumar, M. National Engineering College Department of Electronics and Communication Engineering Kovilpatti India

ISBN: (纸本)9798350356236

This paper examines improved MOSFET performances, such as drain-induced barrier lowering (DIBL), velocity saturation using nanowire technologies to better parameters such as on-current, total current density, tunneling rates, and doping profiles. It studies the traits of nanowire technology as compared to other materials based on TCAD simulation to understand their effectiveness in solving all the issues of conventional MOSFETs. The result shows that Silicon Nanowire has the excellent performance as compared to all the others with an on-current (Id) of 10-5. Thus, on these aspects, SiNWs are kept under regard for next-generation device applications that can excel in terms of electrostatic control, carrier mobility, and scalability. These factors make them a promising candidate for advanced device applications. It also studies net doping and tunneling rates through intensive cut-line studies. © 2025 IEEE.

关键词： Nanowires

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Performance Analysis of License Plate Detection and Recognition Using YOLO and OCR

Performance Analysis of License Plate Detection and Recognit...

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Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： Gokulavasan B Madhumitha S Kavipriya JR Rangesh TKS Kiruba K Department of ECE Sri Eshwar College of Engineering Coimbatore

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

For applications like automated toll collection and traffic monitoring, license plate recognition, or LPR, is essential. In order to enhance license plate identification and recognition performance, this study provides a method that combines the You Only Look Once (YOLO) object detection algorithm with optical character recognition (OCR). In complicated surroundings, YOLO provides high-accuracy real-time detection, while OCR efficiently recognises alphanumeric characters. We assessed the system's performance by examining processing time, accuracy of detection and recognition, and a publically accessible dataset. The combined strategy greatly outperforms standard methods, according to the results. The system exhibits resilience in the face of obstacles like dim lighting and partial occlusions. An dependable LPR solution for intelligent transportation systems is provided by this combination.

关键词： YOLO Accuracy System performance Surveillance Traffic control Real-time systems Telecommunication computing Character recognition License plate recognition Intelligent transportation systems

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