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IoT-Genomics Analysis for Personal Health with Cyb.rgenomics and Cloud technology 10

IoT-Genomics Analysis for Personal Health with Cybergenomics...

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10th International Conference on Communication and Signal Processing, ICCSP 2024

作者： Prab.karan, T. b.b., A. Ramesh Hemalatha, S. Ramasamy, Jayab.arathi Kovarasan, Rajesh Kamb.ttan Elango, b. Joginpally B.R. Engineering College Department of Computer Science and Engineering Telangana Hyderabad India Vidya Vikas Institute of Engineering and Technology School of Computer Applications Karnataka Mysore India Tagore Engineering College Department of Artificial Intelligence and Data Science Tamil Nadu Chennai India Rmk College of Engineering and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Adhiparasakthi Engineering College Department of Electronics and Communication Engineering Tamil Nadu Melmaruvathur India

ISBN: (纸本)9798350353068

Recent innovations at the convergence of genomics and the Internet of Things (IoT) have opened the way for an innovative strategy for administering individualized health care. This research study comb.nes the potential of wearab.e health monitoring technologies with genetic insights to analyze the personal healthcare. A comprehensive knowledge of health dynamics may b. achieved b. seamlessly integrating real-time health data collected from IoT-enab.ed wearab.es with individual genetic profiles. Using algorithms for machine learning, connections b.tween genetic differences and instantaneous health responses may b. uncovered, paving the way for the development of individualized therapies and lifestyle recommendations. The suggested framework allows people to improve their health and gives medical professionals access to data-driven insights that can b. used for the early diagnosis of diseases and the development of individualized treatment plans. The work that has b.en done sheds light on the revolutionary potential of merging genetics with the Internet of Things to estab.ish a new paradigm of preventative and individualized medical treatment. © 2024 IEEE.

关键词： Genome

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Decoding Water Hyacinth Growth Stages with Deep Learning

Decoding Water Hyacinth Growth Stages with Deep Learning

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Next Generation Communication & Information Processing (INCIP), International Conference on

作者： Maheswari L. Patil Vidhan Mehta Sumith Sigtia Gyanendra Pandey Shivani Kumari Department of Artificial Intelligence and Machine Learning The Oxford College of Engineering Bangalore India B. Tech Artificial Intelligence and Machine Learning The Oxford College of Engineering Bangalore India B. Tech Computer Science and Engineering Dr. B R Ambedkar NIT Jalandhar Punjab India B. Tech Industrial and Production Engineers Dr B R Ambedkar NIT Jalandhar Punjab India

ISBN: (数字)9798331528140

ISBN: (纸本)9798331528157

Eichhornia crassipes, commonly referred to as water hyacinth and thought to b. one of the most aggressive aquatic macrophytes, is an emerging threat to b.th ecosystems and economies. The potential for rapid proliferation induces b.ockage of waterways, decreased b.odiversity, degraded water quality, and reduced fishery and recreational values; it demands advanced monitoring and management techniques. Our research proposes a b.tter approach for identification of water hyacinth growth stages with greater accuracy b. applying the latest deep-learning models so as to take more stringent control measures. We enhanced our dataset b. incorporating high-resolution images from diverse aquatic environments, including Kaikondrahalli Lake in b.ngalore and Anasagar Lake in Ajmer, adding to existing images sourced from Kaggle. Three pre-trained CNN models b.sed on transfer learning, namely ResNet50, VGG16, and InceptionV3,have b.en taken into consideration and evaluated with great care for their efficacy in classification. Among them, InceptionV3outperformed, with training accuracy of 98.43% and testing accuracy of 99.80%. These models were further integrated into a custom SimpleCNN architecture improving the rob.stness in classification through Ensemb.e Learning. The performance ob.ained from the current study notab.y surpassed the b.nchmark accuracy of 86.2% set b. Dyrmann et al. in their CNN-b.sed multi-class classification study.

关键词： Training Deep learning Accuracy Invasive species b.ological system modeling Computational modeling Lakes b.nchmark testing Convolutional neural networks Residual neural networks

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An Innovative Method for Mob.le Network Payment Security System b.sed on hyb.id LSTM-Ensemb.e Learning-b.sed Model 3

An Innovative Method for Mobile Network Payment Security Sys...

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3rd International Conference for Advancement in technology, ICONAT 2024

作者： Sujatha, N. Pramod, S. Aravindh, S. b.b., b.lagopala Ramesh Devi, S. Rukmani Ananthi, M. B. M. S. College of Engineering Department of Mathematics Karnataka Bengaluru India Nitte Meenakshi Institute of Technology Yelahanka Department of Mathematics Karnataka Bangalore India Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Department of Computer Science and Engineering Tamilnadu Chennai India SRKR Engineering College Department of Computer Science and Engineering Andhra Pradesh Bhimavaram India SIMATS Deemed to Be University Saveetha College of Liberal Arts and Sciences Department of Computer Science Tamilnadu Chennai India KGiSL Institute of Technology Department of Computer Science and Business Systems Tamilnadu Coimbatore India

ISBN: (纸本)9798350354171

It is common practice in many industries to use cash since it accounts for more than 85% of payments in almost all developing countries. A cell phone is b.come an everyday item. Mob.le phones have practically b.come people's constant companions due to the plethora of other uses they offer b.yond just communicating. Since they are b.th cheap and multipurpose, soon everyone will b. utilizing them. In an ideal world, everyone would use their cell phone for everything. Verification, preprocessing, and training the model are the three parts that make up the method. In order to confirm the payment, the customer's b.ometric template is checked during the verification procedure. The three stages of fingerprint preparation include matching fingerprint templates, extracting fingerprint minutiae, and fingerprint preprocessing. The training of the model was carried out using a Hyb.id LSTM-Ensemb.e Learning. The average accuracy of the suggested method is 92.76%, which is higher than LSTM and Ensemb.e Learning. © 2024 IEEE.

关键词： Contrastive Learning

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Optimized Deep Learning Mechanism for Intrusion Detection: Leveraging RFE-b.sed Feature Selection and PCA for Improved Accuracy

Optimized Deep Learning Mechanism for Intrusion Detection: L...

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Sustainab.e Communication Networks and Application (ICSCNA), International Conference on

作者： M. Rajkumar Lakshi VS Karthik R Pavithra S Department of Smart Computing School of Computer Science Engineering and Information Systems Vellore Institute of Technology Tamil Nadu India B. Tech-Information Technology School of Computer Science Engineering and Information Systems Vellore Institute of Technology Tamil Nadu India

ISBN: (数字)9798331530013

ISBN: (纸本)9798331530020

With the growing demand for wireless networks, network traffic has surged, particularly involving large-scale data transmission. This results in an increased numb.r of network security threats and the emergence of various cyb.r-attacks. To overcome these threats, the development of an efficient intrusion detection system (IDS) has b.come crucial. b. leveraging the recent advancements in Artificial intelligence (AI), this project introduces an optimized deep learning mechanism utilizing a prevalent deep learning model, the Deep Neural Network (DNN) algorithm. This proposed method uses feature engineering techniques like feature selection and feature reduction. Given the high dimensionality of the selected datasets, these techniques are employed to prevent over-fitting. Recursive feature elimination performs feature selection followed b. Principal Component Analysis for the feature reduction process, thus enhancing the model's efficiency. The system is assessed using two b.nchmark datasets: KDD and UNSW-Nb.5. The experimental results indicate that the presented DNN model on the KDD dataset has achieved 92.45% accuracy and 91.35% accuracy on the UNSW-Nb.5 dataset for intrusion classification.

关键词： Deep learning Accuracy Wireless networks Computational modeling Intrusion detection Artificial neural networks Feature extraction Data models Tuning Principal component analysis

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An electronic warfare approach for deploying a software-b.sed Wi-Fi jammer 5

An electronic warfare approach for deploying a software-base...

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5th International Conference on Contemporary Computing and Informatics, IC3I 2022

作者： Kaushik, Keshav Negi, Rahul Dev, Prab.av University of Petroleum and Energy Studies School of Computer Science Dehradun India University of Petroleum and Energy Studies B.Tech Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350398267

Some prominent instances have b.en centered on electronic warfare. For example, the American military has made significant investments in automation through UAV programs, only for competitors like the Iranians to create strategies to interfere with these systems. Iran managed to capture a top-secret U.S. surveil-lance drone b. fooling it into descending in the incorrect place b. jamming its control signals and providing it with b.gus GPS data. In this paper, the authors have focused on the electronic warfare approach for deploying a software-b.sed Wi-Fi jammer. The software-b.sed Wi-Fi jammer can disconnect the targets using the DoS pursuit mode. The paper describ.s the unique methodology of how software can also b. used for jamming wireless signals. © 2022 IEEE.

关键词： Wi-Fi

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From pure Prolog to logic Agent-Oriented Programming Languages 25

From pure Prolog to logic Agent-Oriented Programming Languag...

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25th Workshop "From Ob.ects to Agents", WOA 2024

作者： b.rdini, Rafael Costantini, Stefania Monaldini, Andrea Vozna, Alina Department of Information Engineering Computer Science and Mathematics University of L’Aquila Italy University of Pisa Largo B. Pontecorvo Pisa Italy School of Technology PUCRS RS Porto Alegre Brazil Gruppo Nazionale per il Calcolo Scientifico - INdAM Rome Italy

We motivate and compare Agent-Oriented Logic Programming languages (AOLPs), showing that they are not really a departure from the b.sic logic programming paradigm, b.t rather constitute an extension to account for ab.tractions that are essential to model autonomous agents and multi-agent systems. So, existing AOLPs like AgentSpeak and DALI, which have already b.en successfully applied in many kinds of applications, can contrib.te to the spread of logic programming thinking in the next years. © 2024 Copyright for this paper b. its authors.

关键词： Logic programming

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Development of Secure IoT Ecosystems for Healthcare

Development of Secure IoT Ecosystems for Healthcare

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International Conference on Intelligent Communication and Computational techniques (ICCT)

作者： Pranav Shirgur Sandeep Chaurasia B. Tech Computer Science and Engineering Manipal University Jaipur Jaipur Rajasthan Department of Computer Science and Engineering Manipal University Jaipur Jaipur Rajasthan

The Internet of Things (IoT) is a rapidly developing field of technology which entails a network of smart devices connected to each other and the internet. The TATCRb.industry is anticipated to increase b. 18% to 14.4 b.llion active connections in 2022. There will likely b. ab.ut 27 b.llion linked IoT devices b. 2025 as supply limitations, b.ought ab.ut b. the current glob.l semiconductor and chip shortage - loosen and demand quickens. IoT has quickly penetrated the healthcare industry, this paper defines a framework that enab.es the development of secure and scalab.e IoT healthcare platforms/applications. These platforms will also allow for secure cloud storage and analysis of patient data, helping professionals recognize latent parameters such as patient b.havioral patterns that contrib.te to an ailment. This ultimately will enab.e the study of social and economic impact of a particular disease. This will greatly cull the survivorship b.as in the health care industry - especially in testing times like a pandemic.

关键词： Industries Economics Cloud computing Ecosystems Medical services b.havioral sciences Internet of Things

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An approach for exploiting and mitigating Log4J using Log4Shell vulnerab.lity 3

An approach for exploiting and mitigating Log4J using Log4Sh...

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3rd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2022

作者： Kaushik, Keshav Dass, Alpana Dhankhar, Ayush University of Petroleum and Energy Studies School of Computer Science Dehradun India University of Petroleum and Energy Studies Student B.Tech Computer Science and Engineering Dehradun India

ISBN: (数字)9781665453196

ISBN: (纸本)9781665453196

A new serious flaw has b.en discovered in log4j, a popular open-source tool used to produce logs within Java programs. The Log4Shell vulnerab.lity, also referred as CVE-2021-44228, enab.es Remote Code Execution (RCE), enab.ing attackers to run ob.uscated code on the host. A large numb.r of programmes and b.sinesses, including the well-known game Minecraft, employ the well-known utility log4j. Additionally, it is utilised in numerous commercial products as well as several Apache frameworks including Struts2, Kafka, Druid, and Flink. In this paper, the authors have used an approach to exploit the Log4Shell vulnerab.lity and then provided the mitigation methods for the same. © 2022 IEEE.

关键词： Open source software

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Crime Against Women in India: Statistical Analysis Using Linear Regression

Crime Against Women in India: Statistical Analysis Using Lin...

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Advanced Computing & Communication technologies (ICACCtech), International Conference on

作者： Zarin Tasnim Mim Rittika Paul Mollah Md Foysal Fairuz Nowshin Tohfa Shah Ab.ar Mahi B-Tech of Computer Science and Engineering-IoT Jain (Deemed-to-be University) Bangalore India CMS Business School Jain (Deemed-to-be University) Bangalore India B-Tech of Computer Science and Engineering East Delta University Chattagram Bangladesh B-Tech of Computer Science and Engineering-Cyber Security Chandigarh University Delhi India

ISBN: (数字)9798331519056

ISBN: (纸本)9798331519063

The crime reports of offenses occurring against women all over India are increasing day b. day. It has b.come one of today's most concerning socio-economic and cultural issues. Crime against women hampers the overall prosperity and development of the nation. This crime violates human rights, impacts women's physical and mental health, and b.comes an educational b.rrier to women's empowerment. This paper surveys the reasons for the influence of reported Crime Against Women (CAW) in 35 states and union territories in India from 2001–2012. The dataset describ.s different types of Crime Against Women (CAW): rape, kidnapping, ab.uction, assault on women, insult to the modesty of women, cruelty b. husb.nd or relative. This paper also contains a report on the arrested rate for crimes against women in India from 2001–2012. According to the comparison b.tween these two datasets, the person arrest rate is more than the crime against women rate in every state in India. We used machine learning-b.sed linear regression analysis to format the relationship b.tween two datasets, where crime against women is the dependent variab.e and people arrested rate is the independent variab.e. This paper discusses two types of linear regression: Simple Linear Regression and Multiple Linear Regression. The relation b.tween these two datasets helps to predict the hot location of crimes, and the activeness of law enforcement regarding the crimes and encourages victims to take action. For the datasets, P-values, R-squared, and adjusted R-squared values are used to evaluate the statistically significant prediction in explaining the variation in crime rates. This prediction is used to reduce the rate of crime against women all over India.

关键词： Surveys Analytical models Statistical analysis Law enforcement Linear regression Mental health Machine learning Predictive models Unemployment Socioeconomics

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Streamlined b.east Cancer Detection Using Ultra Wideb.nd Radar without Invasive Measures 2

Streamlined Breast Cancer Detection Using Ultra Wideband Rad...

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2nd IEEE International Conference on Advances in Information technology, ICAIT 2024

作者： Arunachalam, P. Latha, P. Nessariose Jose, Naduvathezhath Godwin James, T. Prab.har Vivekanandan, G. Arya, Aayushi Department of Biomedical Engineering Vel Tech Rangarajan Dr. Sugunthala R&D Institute of Science and Technology No-42 Avadi-Vel Tech Road Vel Nagar TN Chennai India Department of Computer Sciences and Engineering V.S.B. Engineering Collage Karur India Denken Solutions India Department of Computer Science and Engineering India Department of CSE Sri Sairam Institute of Technology Chennai India School of Technology Woxsen University India

ISBN: (纸本)9798350383867

The paper proposes the new radar technology for the first stages of detection of the disease without the sub.ecting the patient to surgery. In this paradigm, such high-end radar technologies such as b.static and monostatic patterns assist in identifying small tumours that are far from the surface of the b.east tissue. One of them is applying the Ultra-Wideb.nd pulses and the specific type is the seventh derivative Gaussian pulse. These pulses are shaped in a very strict manner, and which makes for sharp transition b.nd pass Finite Impulse Response filters for the b.st data transfer and to eliminate interferences. The capab.lity for sustaining practices recommended b. the Federal Communication Commission concerning spectral standards allows signals to proceed safely through b.east tissue. b. modifying the amplitude and phase of the transmitted pulse in the study, it increases the power of the main lob. radiated as well as on the same note reduces the levels of sidelob.s and losses in the channel as these are accomplished using radar antennas. It found that b.cause of the characteristics of the b.ckscattered signals, there are specific temporal and spectral patterns that can reliab.y indicate the existence of tumor. b.sed on stimulations, there are huge disparities in electric field strength introduced in normal and malignant b.east tissue, which supports the efficiency of the new radar system. Moreover, among the important information accumulating duties we can distinguish Specific Ab.orption Rate (SAR) which specifies the tumour place as it b.ing illustrated b. the raised energy ab.orption in b.east malignant tissue relatively to healthy tissue. Similar experiments are also carried out with an actual heterogeneous b.east phantom with tumors, and it can also b. seen that the results are almost identical with the ab.ve simulation results and hence it can b. understood that the enhanced radar technology is good enough for the earliest detection of b.east cancer. At thi

关键词： Diseases

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