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A Tolerant and Energy Optimization Approach for Internet of Things to Enhance the QoS Using Adaptive Blended Marine Predators Algorithm

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computers, Materials & Continua 2025年第5期83卷 2449-2479页

作者： Vijaya Krishna Akula Tan Kuan Tak Pravin Ramdas Kshirsagar Shrikant Vijayrao Sonekar Gopichand Ginnela Department of Information Technology G.Narayanamma Institute of Technology and Science for WomenHyderabad500104India Engineering Cluster Singapore Institute of Technology10 Dover DriveSingapore138683Singapore Department of Electronics and Telecommunication Engineering J.D.College of Engineering&ManagementNagpur441501India Department of Computer Science and Engineering J.D.College of Engineering&ManagementNagpur441501India School of Computer Science and Engineering Vellore Institute of TechnologyVellore632014TamilnaduIndia

The rapid expansion of Internet of Things(IoT)networks has introduced challenges in network management,primarily in maintaining energy efficiency and robust connectivity across an increasing array of *** paper introduces the Adaptive Blended Marine Predators Algorithm(AB-MPA),a novel optimization technique designed to enhance Quality of Service(QoS)in IoT systems by dynamically optimizing network configurations for improved energy efficiency and *** results represent significant improvements in network performance metrics such as energy consumption,throughput,and operational stability,indicating that AB-MPA effectively addresses the pressing needs ofmodern IoT *** are initiated with 100 J of stored energy,and energy is consumed at 0.01 J per square meter in each node to emphasize energy-efficient *** algorithm also provides sufficient network lifetime extension to a resourceful 7000 cycles for up to 200 nodes with a maximum Packet delivery Ratio(PdR)of 99% and a robust network throughput of up to 1800 kbps in more compact node *** study proposes a viable solution to a critical problem and opens avenues for further research into scalable network management for diverse applications.

关键词： Internet of things trust energy marine predators algorithm(MPA) differential evolution(dE) nodes throughput lifetime

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Enhancing Android Malware detection Through Machine learning: Insights From Permission and Metadata Analysis 3

Enhancing Android Malware Detection Through Machine Learning...

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3rd International Conference on Smart Technologies and Systems for Next Generation Computing, ICSTSN 2024

作者： Shankar, G. Sridhar, S. Srivatsan, G. Kishan, R. Pranav Vikraman, S.S. R.M.D Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (数字)9798350391565

ISBN: (纸本)9798350391565

The spread of the Android ecosystem has increased potentially harmful applications, which present a serious cybersecurity threat. According to reports, a significant percentage of applications housed on the Play Store (10-24%) may behave maliciously, hiding their evil intentions behind a facade of legitimacy. The present methods for detecting malware, which are frequently resource-intensive and slow to adjust to new threats, have limits when it comes to solving this growing problem. By carefully examining data on verified dangerous applications and developing a predictive model that can reliably identify malicious applications based on the permissions they request, this study seeks to address these issues. The paper also presents a novel method for creating a machine learning-based detection model using publicly accessible metadata. With an emphasis on Android malware detection, the main goal of this study is to create a reliable model that can classify applications as malicious (1) or benign (0) depending on the permissions they request. The main activities involve a thorough examination of Android permissions and metadata as critical markers for detecting any malware, as well as the development and evaluation of a machine-learning model using publicly available metadata. In the end, initiative aims to strategically apply machine learning techniques to lessen the growing threat of Android malware. This research aims to offer a strong and proactive solution to preventing the spread of harmful programs through careful analysis and the creation of an efficient model. © 2024 IEEE.

关键词： Android malware

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FusionSegNet: Integrating Modalities for Enhanced Brain Tumor detection and Segmentation

FusionSegNet: Integrating Modalities for Enhanced Brain Tumo...

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2024 IEEE International Conference on Communication, Computing and Signal Processing, IICCCS 2024

作者： Rehmanji, Husain d'Silva, Sonia Thakker, Kunj Bagul, Sudhir D.J. Sanghvi College of Engineering Dept. of Computer Engineering Mumbai India

ISBN: (纸本)9798350390759

Improving diagnostic accuracy and striving for thorough analysis is always crucial in medical imaging, Multi Modal Medical Imaging has proved to be a useful approach in this area, providing computational power and accuracy for tasks that humans would otherwise have a tough time doing. This paper investigates the fusion of Magnetic Resonance Imaging (MRI) with Fluorodeoxyglucose Positron Emission Tomography (FdG-PET) or Technetium-99m-Tilmanocept Single-Photon Emission Computed Tomography (TITc-SPECT) scans which are generally used for detecting Gliomas or Metastatic Bronchogenic Carcinoma (Brain Tumors that are formed due to lung cancer). This paper targets a pipeline that will investigate the fusion of Magnetic Resonance Imaging (MRI) with Fluorodeoxyglucose Positron Emission Tomography (FdG-PET) or Technetium-99m-Tilmanocept Single-Photon Emission Computed Tomography (TITc-SPECT) scans which are usually used to detect these brain tumors. The denoising diffusion image Fusion Model (ddFM) is used to combine the structural and functional information from these medical scans and the fused results of these images are then used as input to CNN as well as a U-Net model for brain tumor detection and segmentation respectively. The performance of these models is evaluated based on the probability of tumor detection and the accuracy of segmentation. The main objective of this paper is to validate the effectiveness of the ddFM fusion approach for medical scans by demonstrating tumor detection and classification accuracy in the fused multi-modal images. The results of this paper, therefore, hold a potential for improving the clinical decision-making process and making more effective strategies for brain tumor diagnosis and its management through the use of complementary imaging data. © 2024 IEEE.

关键词： Positron emission tomography

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Metro Cities House Price Prediction Using Ml

Metro Cities House Price Prediction Using ML

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2023 International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2023

作者： Naik, Sonal Puthran, Aarti Computer Engineering Shree L.R.Tiwari College of Engineering Mumbai India Computer Engineering Vidyavardhini's College of Engineering Mumbai India

ISBN: (纸本)9798350300857

due to changes in local infrastructure as well as real estate values, home prices fluctuate every single year. Customers can figure out the value of the house with the aid of a centralized system that predicts house prices and has infrastructure. It aids the consumer in making decisions on where and when to buy a home. When forecasting a property's value, several factors are taken into account, such as location, neighborhood, size, etc. The intention of this study is to predicate house prices for individuals depending on financial situation. This study matched the outcomes of many machine learning methods including linear, XGB, decision tree, lasso regression and random forest regression, due to its outstanding accuracy. House value forecast on a data set will be performed by utilizing all of aforementioned methodologies and selecting the best among them. This study establishes the application of machine learning algorithms in the prediction of house values using datasets collected from Kaggle. This study can construct a regression model that can precisely estimate the cost of a property created on its characteristics. © 2023 IEEE.

关键词： decision trees

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TeenSenti - A novel approach for sentiment analysis of short words and slangs

TeenSenti - A novel approach for sentiment analysis of short...

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2024 International Conference on Advances in Modern Age Technologies for Health and engineering Science, AMATHE 2024

作者： Kamath, Sahil Padiya, Vaishnavi d'Silva, Sonia Patil, Nilesh Narvekar, Meera D.J. Sanghvi College Of Engineering Dept. Of Computer Engineering Mumbai India

ISBN: (纸本)9798350371567

The present prevalence of online platforms and the internet has seen a substantial increase in the utilization of Generation Z slang, abbreviated expressions, and short words. These lexical subtleties have become a vital part of a person's daily interactions, and therefore evident in reviews, product comments, and throughout the internet. Resultantly, there exists a need to integrate these Informal expressions such as abbrevi-ations, slang, and short words into natural language processing (NlP) systems. The Informal expressions naturally contain some contextual relevance and therefore can be used to improvise sentiment analysis, as these expressions contribute significantly to the overall context and sentiment of sentences. However, traditional NlP techniques often fall short in recognizing and incorporating these informal expressions, resulting in an atten-uated accuracy of sentiment analysis. To address this issue, this study ventures to provide a comprehensive slang dictionary, encompassing short words, abbreviated expressions, and slang along with the sentiment and sentences of each. This curated slang dictionary is effectively integrated into NlP systems using FastText Embeddings. Through extensive testing across multi-ple machine learning (Ml) and deep learning (dl) models, this approach significantly enhances the accuracy of sentiment analysis when compared to conventional methodologies. This research emphasizes the importance of accommodating informal expression in NlP systems thus opening the possibility of future research. © 2024 IEEE.

关键词： Sentiment analysis

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Energy Optimized and dynamic design of Task Offloading in Mobile Fog Computing 15

Energy Optimized and Dynamic Design of Task Offloading in Mo...

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15th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Vedaraj, M. Satwika, A. Monisha, B. Namratha, I. R.M.D Engineering College Computer Science and Engineering Department Chennai India

ISBN: (纸本)9798331300579

In this study, we provide a dynamic and energy-optimized task offloading approach for MFC. Our method takes into account how much energy FNs, cell phones, and communication cables use. We employ a dynamic programming technique to choose the job offloading strategy that minimises energy use while satisfying the application's latency requirements. We conduct a simulation-based experiment to assess our suggested strategy. The results show that our solution performs better than others in terms of energy consumption and delay efficiency. Additionally, our method may balance energy usage and delay performance while adapting to dynamic changes in the network *** proposed energy-optimized and dynamic design for task offloading in MFC can enable efficient and effective utilization of computational resources in mobile devices and FNs, This may result in better functionality and longer battery life for portable electronics. © Grenze Scientific Society, 2024.

关键词： Fog computing

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Borewell Rescue Operation Using Android Applications

Borewell Rescue Operation Using Android Applications

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2024 International Conference on System, Computation, Automation and Networking, ICSCAN 2024

作者： Sundaram, K Mohana Sasikumar, R. Aarthi, V. Hemalatha, J. Hemapriya, G. Janani, S. R.M.D Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798331510022

The urgent need for effective rescue operations in the context of borewell accidents, where innocent lives, especially children, are at risk. These bore-wells are trapping a lot of innocent kids, who are dying as a result. While bore- wells are intended to save lives, they have instead started to take a great number of innocent lives. Several times, large machines and a lot of human labor are used in the rescue efforts. These rescue operations are typically very drawn-out, difficult, and time- consuming processes. Conventional rescue methods involving excavation are slow, labor-intensive, and hazardous. In response to this challenge, the report proposes an innovative approach to borewell rescue operations. This method employs a mechanical apparatus equipped with a gripper arm, which navigates through the borewell channel under the control of a microcontroller. Introduces a novel approach to borewell rescue operations utilizing Android applications. The traditional methods of rescue involving excavation are often slow, laborious, and risky. This paper proposes an innovative solution leveraging Android technology to streamline and enhance the rescue process. The system employs an Android application that communicates with a mechanical apparatus equipped with a gripper arm, designed to navigate through the borewell channel. Through the application interface, rescue personnel can remotely control the movement and operation of the apparatus, optimizing the rescue efforts. This integration of Android technology aims to expedite rescue operations, minimize risks, and ultimately save lives more efficiently in borewell emergencies. © 2024 IEEE.

关键词： Grippers

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Enhancing Supply Chain Management Efficiency through 4Pl Integration: leveraging Recent Technological Advancement 5

Enhancing Supply Chain Management Efficiency through 4PL Int...

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5th IEEE International Conference for Emerging Technology, INCET 2024

作者： Beevi, l. Sherin Joe Prathap, P.M. dani, W. Vinil Shweatha, B.M. Department of Computer Science and Engineering R.M.D. Engineering College Kavaraipettai India Department of Computer Science and Engineering R.M.D. Engineering College Kavaraipettai India Department of EEE St. Peter's College of Engineering & Technology Avadi India Dept. of Computer Science and Engg. R.M.D. Engineering College Kavaraipettai India

ISBN: (纸本)9798350361155

This research study looks at how Fourth Party logistics (4Pl) and supply chain management (SCM) work together to improve operational efficiency and effectiveness. It looks into the integration of recent technological advances to improve 4Pl capabilities within SCM systems. The paper investigates the role of new technologies such as IoT, AI, and blockchain in revolutionizing existing supply chain paradigms through a comprehensive literature review and case study analysis. Insights are presented into the obstacles, opportunities, and solutions for successfully integrating 4Pls through technology. Finally, this study contributes to a better understanding of how organizations can use technology to alter supply chain operations and gain a competitive advantage in today's changing business climate. © 2024 IEEE.

关键词： Supply chain management

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Evaluating the Influence of Text Representation techniques on diverse Machine learning Algorithms for Stress detection in Social media users

Evaluating the Influence of Text Representation techniques o...

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2024 International Conference on Advances in Modern Age Technologies for Health and engineering Science, AMATHE 2024

作者： deulkar, Khushali Narvekar, Meera Gandhi, Priya Gada, dhruv Kamath, Sahil D.J. Sanghvi College Of Engineering Dept. Of Computer Engineering Mumbai India

ISBN: (纸本)9798350371567

Over the past few years, there has been a notable surge in social media usage like Twitter, Facebook, Instagram. due to the anonymity of the internet, people's mental health is frequently reflected in their social media activity. Through such activities, psychiatric problems are frequently discovered and can be treated in their early stages, potentially preventing the effects of untreated mental disorders like depression and anxiety. The present study aims to examine the potential consequences of utilising two commonly used methods for text representation, namely Term Frequency-Inverse document Frequency(TF-IdF) and Bag-of-Words(BoW). The specific focus of this investigation is on the application of these techniques to the task of stress detection. The aim is to comprehend how these methods influence the effectiveness of different classifiers in identifying stress patterns within textual data. By assessing the impact of TF-IdF and BoW, this research seeks to enhance our understanding of their roles in shaping the performance of various algorithms. This study encompasses various machine learning algorithms, including Support Vector Machines(SVM), Random Forest, logistic Regression, and Naive Bayes. In the case of deep learning techniques, Recurrent Neural Network(RNN), long Short Term Memory(lSTM), RoBerta, and implementation of BERT embeddings in Recurrent Neural Networks was studied. The experimentation involves extensive datasets taken from two social media platform, Reditt and Twitter to ensure the robustness and generalizability of findings. The results shed light on the varying effects of TF-IdF and BoW, offering insights into which techniques are better suited for stress detection and contributing to the optimization of future stress detection systems. © 2024 IEEE.

关键词： Stresses

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Haemoglobin Measurement from Eye Anterior Ciliary Arteries through Borescope Camera

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computer Systems Science & engineering 2023年第2期44卷 1763-1774页

作者： Mohamed Abbas Ahamed Farook S.Rukmanidevi N.R.Shanker Department of Electronics and Communication Engineering Vel Tech Multi Tech Dr Rangarajan Dr Sakunthala Engineering CollegeChennai600062India Department of Electronics and Communication Engineering R.M.D Engineering CollegeChennai601206India Department of Computer Science and Engineering Aalim Muhammed Salegh College of EngineeringChennai600055India

Nowadays,smartphones are used as self-health monitoring devices for ***-health monitoring devices help clinicians with big data for accurate diagnosis and guidance for treatment through repetitive *** measurement of haemoglobin requires for pregnant women,pediatric,pulmonary hypertension and obstetric *** haemoglobin measurement through conjunctiva leads to inaccurate *** inaccuracy is due to a decrease in the density of goblet cells and acinar units in Meibomian glands in the human eye as age ***,conjunctivitis is a disease in the eye due to inﬂammation or infection at the *** is in the form of lines in the eyelid and covers the white part of the ***,small blood vessels in eye regions of conjunctiva inﬂammations are not visible to the human eye or standard *** paper proposes smartphone-based hae-moglobin(SBH)measurement through a borescope camera from anterior ciliary arteries of the eye for the above *** proposed SBH method acquires images from the anterior ciliary arteries region of the eye through a smartphone attached with a high megapixel borescope *** anterior ciliary arteries are projected through transverse dyadic wavelet transform(TdyWT)and applied with delta segmentation to obtain blood cells from the ciliary arteries of the ***,the Gaussian regression algorithm measures haemoglobin(Hb)with more accuracy based on the person,eye arteries,red pixel statistical parameters obtained from the left and right eye,age,and ***,the experimen-tal result of the proposed SBH method has an accuracy of 96%in haemoglobin measurement.

关键词： Hemoglobin measurement borescope camera smartphone anterior ciliary arteries region

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