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Emerging Smart Computing and Informatics (ESCI), Conference on

作者： A. Jaya Mabel Rani V Manoj Sethi Sashi Kiran Vuppala K. Thilagam Manimegalai L T. C. Manjunath Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India Applications Analyst Avaya LLC Irving TX United States Java Technical Architect Hyderabad Telangana India Department of ECE Velammal Engineering College Chennai Tamil Nadu India Department of Electronics and Communication Engineering R.M.K. College of Engineering and Technology Chennai Tamil Nadu India Professor in Computer Science & Engineering Department Dean Research (R & D) Rajarajeswari College of Engineering Bangalore Karnataka India

ISBN: (数字)9798331515683

ISBN: (纸本)9798331515690

Rapid advances in quantum computing have raised worries about the security of classical encryption systems, as quantum computers can break many cryptographic techniques. This research strengthens encryption algorithms against quantum-based cryptographic assaults at the convergence of cybersecurity and quantum computing. Quantum computers, using quantum parallelism and quantum algorithms like Shor's and Grover's, threaten the security of widely used cryptographic systems like RSA and ECC, which use integer factorization and discrete logarithms. Post-quantum cryptography (PQC) is needed because quantum assaults can break classical encryption systems. This work emphasizes the need for quantum-resistant encryption techniques by examining the theoretical and practical effects of quantum computing on cryptography. It discusses quantum-safe algorithms like lattice-based, hash-based, and code-based cryptography that could replace or improve encryption standards. The research also examines quantum key distribution (QKD), a new secure communication method that uses quantum physics to share keys. The computational expense, implementation difficulty, and cybersecurity infrastructure integration difficulties of switching to quantum-resistant encryption methods are also examined. Quantum computing is evolving, hence safe encryption algorithms that can withstand quantum-based cryptographic assaults are needed. This paper concludes by emphasizing the need to standardize quantum-resistant algorithms, accelerate quantum cryptography research, and promote international collaboration to protect sensitive data from quantum threats. Future communication systems will depend on post-quantum cryptography to protect digital data.

关键词： Resistance computers Quantum computing Quantum algorithm Switches Elliptic curve cryptography Encryption Quantum key distribution Cryptography computer security

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IoT-based shrewd crop field MPA system

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AIP Conference Proceedings 2025年第1期3224卷

作者： Himanshu Agarwal Shweta Agarwal Utkarsh Mishra Vanshika Chaudhary Vanshita Singh Shaurya Chauhan Associate Professor Department of Computer Science & Engineering Moradabad Institute of Technology Moradabad (U.P.)-India Assistant Professor Department of Mathematics Ramabai Ambedkar Government Degree College Gajraula Amroha (U.P.)-India UG Scholars Department of Computer Science & Engineering Moradabad Institute of Technology Moradabad (U.P.)-India

Context: Agriculture stands as a pivotal driver of economic progress within a nation, yet the realm of technical advancements within this sector remains distressingly neglected by a multitude of governments. While farmers contribute untiring efforts to tend to their fields, substantial time is squandered on tasks like irrigation and safeguarding crops from birds and animal threats [1, 2]. This unwavering dedication often exacts a toll on farmers’ health, leading to ailments and respiratory issues stemming from exposure to noxious gases emitted by certain crops. Extensive research endeavours [3-9] have been undertaken to alleviate the burdens faced by farmers. These efforts, however, frequently culminate in singular applications such as automated irrigation systems or electric perimeters for crop protection. A subset of researchers has also delved into probing the prevalence of harmful gases across agricultural fields. This paper proposes an innovative approach to address these challenges through the utilization of Internet of Things (IoT) technology. Objective: The proposed solution canters on a NodeMCU powered intelligent crop field Monitoring-Protection-Alert (MPA) system, which serves as a technical path to revolutionize farming practices. The core objective underpinning the proposed system is the acquisition of real-time insights emanating from the crop field. This critical initiative empowers farmers with timely and accurate data, enabling them to make informed and precise decisions pertaining to their agricultural domain. Methods: By seamlessly integrating various sensors, the system detects the presence of birds, animals, and noxious gases in real-time. Furthermore, it enhances crop productivity by continuously monitoring soil parameters, including temperature and moisture levels, thereby optimizing irrigation processes. For seamless communication, the system is fortified with a GSM module that promptly alerts farmers about potential threats to their crops.

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Measurement of paracetamol concentration using a fiber laser system

Measurement of paracetamol concentration using a fiber laser...

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Bioengineering (ENBENG), Portuguese Meeting in

作者： Liliana Soares Rosa Ana Perez-Herrera Susana Novais António Ferreira Orlando Frazão Susana Silva Faculty of Engineering INESC TEC - Institute for Systems and Computer Engineering Technology and Science University of Porto Porto Portugal Department of Electrical Electronic and Communication Engineering Public Univ. of Navarra ISC - Institute of Smart Cities Public Univ. of Navarra Pamplona Spain INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal LEPABE-Laboratory for Process Engineering Environment Biotechnology and Energy University of Porto Porto Portugal ALiCE - Associate Laboratory in Chemical Engineering University of Porto Porto Portugal

A linear fiber laser system for measurements of paracetamol concentration is experimentally demonstrated. The cavity is based on a fiber loop mirror and an FBG centered at 1567.8 nm. The sensing head corresponds to a refractometric sensor, whose which principle of operation is based on Fresnel reflection in the fiber tip (FBG side). The system works at detected variations of paracetamol concentrations with a sensitivity of $[(8.74\pm 0.34)\times 10^{-5}]\ \ \mu \mathrm{W}/(\mathrm{g}/\text{kg})$ and a resolution of 2.77 g/kg. The results prove that the fiber laser system could be an asset for processing industries, specifically for non-invasive and real-time measurements of concentration.

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Using Audiometric Data to Weigh and Prioritize Factors that Affect Workers’ Hearing Loss through Support Vector Machine (SVM) Algorithm

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Sound & Vibration 2020年第2期54卷 99-112页

作者： Hossein ElahiShirvan MohammadReza Ghotbi-Ravandi Sajad Zare Mostafa Ghazizadeh Ahsaee Student Research Committee Kerman University of Medical SciencesKermanIran Associate Professor Department of Occupational HealthSchool of Public HealthKerman University of Medical SciencesKermanIran Assistant Professor Department of Occupational HealthSchool of Public HealthKerman University of Medical SciencesKermanIran Assistant Professor Department of Computer EngineeringShahid Bahonar UniversityKermanIran

Workers’exposure to excessive noise is a big universal work-related *** of the major consequences of exposure to noise is permanent or transient hearing *** current study sought to utilize audiometric data to weigh and prioritize the factors affecting workers’hearing loss based using the Support Vector Machine(SVM)*** cross sectional-descriptive study was conducted in 2017 in a mining industry in southeast *** participating workers(n=150)were divided into three groups of 50 based on the sound pressure level to which they were exposed(two experimental groups and one control group).Audiometric tests were carried out for all members of each *** study generally entailed the following steps:(1)selecting predicting variables to weigh and prioritize factors affecting hearing loss;(2)conducting audiometric tests and assessing permanent hearing loss in each ear and then evaluating total hearing loss;(3)categorizing different types of hearing loss;(4)weighing and prioritizing factors that affect hearing loss based on the SVM algorithm;and(5)assessing the error rate and accuracy of the *** collected data were fed into SPSS 18,followed by conducting linear regression and paired samples *** was revealed that,in the first model(SPL<70 dBA),the frequency of 8 KHz had the greatest impact(with a weight of 33%),while noise had the smallest influence(with a weight of 5%).The accuracy of this model was 100%.In the second model(7085 dBA),the frequency of 4 KHz had the highest impact(with a weight of 22%),while the frequency of 250 Hz had the smallest influence(with a weight of 3%).The accuracy of this model was 100%*** the fourth model,the frequency of 4 KHz had the greatest effect(with a weight of 24%),while the

关键词： Noise modeling hearing loss data mining support vector machine algorithm

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Sentiment Analysis on Drug Reviews Using Diverse Classification Techniques

Sentiment Analysis on Drug Reviews Using Diverse Classificat...

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Communication, Computing and Industry 4.0 (C2I4), International Conference on

作者： Premkumar Duraisamy Yuvaraj Natarajan K.R.Sri Preethaa K. Mouthami Department of Artificial Intelligence and Data Science KPR Institute of Engineering and Technology Coimbatore India Department of Computer Science and Engineering KPR Institute of Engineering and Technology Coimbatore India Research Professor Intelligent Construction Automation Center Kyungpook National University Deagu South Korea

ISBN: (数字)9781665474979

ISBN: (纸本)9781665474986

Free text reviews are abundantly distributed over the internet among the standard population of the world. Although online doctors were consulted during the pandemic, many drugs are taken without prescription by ordinary people. Reviews are distributed about the medicines through online feeds, posts and blogs, which are merely helpful in identifying the side effects and their adverse reactions in combination with another drug or standalone adverse reactions. Spelling mistakes, jargon and short names are normalized throughout the medical terminologies using Natural language processing (NLP) and RxNorm from the reviews extracted from these sources. The concept of Bidirectional Encoder Representations from Transformers (BERT) is used to mine the association rules for the drug interactions when used in conjugation with another drug, and the idea of Adaptive Fuzzy logic neural networks is used to validate the results of association rules derived from the BERT. Inconsistencies identified by the regulations generated were rejected efficiently by the Support vector machines (SVM), Radial Basis Function (RBF)and the system shows 60.11 percentage of accuracy with 10 cross-fold validation, whereas the results are equivalent to the accuracy obtained using SVM with RBF kernel. The data set is reduced from its dimension using Linear discriminant analysis (LDA) by applying the mining process and BERT on two drugs, namely “Azithromycin” in conjugation with Buprenorphine has Type ‘A’ side effects, and Prozac in conjugation with Metronidazole shows different side effects. Deplin and Zoloft give very positive symptoms and are independent of dosage interactions.

关键词： Support vector machines Drugs Analytical models Terminology Bit error rate Support vector machine classification Transformers

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Unveiling Neuroprotective Potential of Spice Plant-Derived Compounds against Alzheimer's Disease: Insights from Computational Studies

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International Journal of Alzheimer's Disease 2023年第1期2023卷 8877757页

作者： Alom, Md. Murshid Bonna, Rejwana Parvin Islam, Ariful Alom, Md. Wasim Rahman, Md. Ekhtiar Faruqe, Md Omar Khalekuzzaman, Md. Zaman, Rashed Islam, Md. Asadul Professor O.I Joarder DNA and Chromosome Research Laboratory Department of Genetic Engineering and Biotechnology University of Rajshahi Rajshahi 6205 Bangladesh Department of Genetic Engineering and Biotechnology University of Rajshahi Rajshahi 6205 Bangladesh Department of Computer Science and Engineering University of Rajshahi Rajshahi 6205 Bangladesh

Alzheimer's disease (AD) is a serious threat to the global health care system and is brought on by a series of factors that cause neuronal dysfunction and impairment in memory and cognitive decline. This study investigated the therapeutic potential of phytochemicals that belong to the ten regularly used spice plants, based on their binding affinity with AD-associated proteins. Comprehensive docking studies were performed using AutoDock Vina in PyRx followed by molecular dynamic (MD) simulations using AMBER 14. The docking study of the chosen molecules revealed the binding energies of their interactions with the target proteins, while MD simulations were carried out to verify the steadiness of bound complexes. Through the Lipinski filter and admetSAR analysis, the chosen compounds' pharmacokinetic characteristics and drug likeness were also examined. The pharmacophore mapping study was also done and analyzed for best selected molecules. Additionally, principal component analysis (PCA) was used to examine how the general motion of the protein changed. The results showed quercetin and myricetin to be potential inhibitors of AChE and alpha-amyrin and beta-chlorogenin to be potential inhibitors of BuChE, exhibiting best binding energies comparable to those of donepezil, used as a positive control. The multiple descriptors from the simulation study, root mean square deviation (RMSD), root mean square fluctuation (RMSF), hydrogen bond, radius of gyration (Rg), and solvent-accessible surface areas (SASA), confirm the stable nature of the protein-ligand complexes. Molecular mechanic Poisson-Boltzmann surface area (MM-PBSA) binding free energy calculations indicated the energetically favorable binding of the ligands to the protein. Finally, according to pharmacokinetic properties and drug likeness, characteristics showed that quercetin and myricetin for AChE and alpha-amyrin and beta-chlorogenin for BuChE were found to be the most effective agents for treating the AD. © 2023

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LayOut Loud: An AI-Powered Augmented Reality and Mobile Application for Room Interior Design and Layout Optimization

LayOut Loud: An AI-Powered Augmented Reality and Mobile Appl...

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Intelligent Cybernetics Technology & Applications (ICICyTA), International Conference on

作者： John Raphael G. Cuevas John Kenneth R. Rili Anny Neolicia G. Santillan Vivien A. Agustin Mary Grace N. Gonzales Criselle J. Centeno Richard C. Regala Department of Information Technology College of Information Systems and Technology Management Pamantasan ng Lungsod ng Maynila Manila Philippines Department of Computer Science Associate Dean of College of Information Systems and Technology Management Pamantasan ng Lungsod ng Maynila Manila Philippines Department of Information Technology Faculty of College of Engineering and Technology Pamantasan ng Lungsod ng Maynila Manila Philippines Department of Information Technology Director of Graduate Program of College of Information Systems and Technology Management Pamantasan ng Lungsod ng Maynila Manila Philippines Department of Computer Science Computer Lab Administrator of College of Engineering and Technology Pamantasan ng Lungsod ng Maynila Manila Philippines

ISBN: (数字)9798331506490

ISBN: (纸本)9798331506506

LayOut Loud is an AI-powered augmented reality (AR) and mobile application designed to revolutionize room interior design by offering tailored, real-time solutions for layout optimization. The primary objective of this tool is to design AI-powered features that analyze user-provided room dimensions, furniture types, and style preferences. By leveraging advanced algorithms, LayOut Loud generates personalized design suggestions that cater to the individual needs and aesthetic tastes of users, ensuring that each interior design experience is customized and unique. A key goal of the application is to enhance user experience and decision-making through a clustering algorithm. This algorithm categorizes furniture pieces based on their suitability and appearance in living spaces, streamlining the selection process for users. By enabling the visualization of these items in a 3D model, users can make informed decisions about their interior design choices, ensuring that each piece contributes to the overall aesthetic and functional harmony of the space. Additionally, LayOut Loud focuses on improving its AR capabilities by allowing users to capture their room layouts and view virtual furniture arrangements in real time. This feature provides practical, interactive design solutions, empowering users to experiment with different configurations and instantly see how potential changes would appear in their actual living environments. Ultimately, LayOut Loud offers a user-friendly, immersive platform that transforms the way individuals approach interior design.

关键词： Solid modeling Three-dimensional displays Layout Decision making Clustering algorithms Real-time systems User experience Mobile applications Augmented reality Optimization

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An Innovative FV with 3D Based RS in SR

An Innovative FV with 3D Based RS in SR

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Advance Computing and Innovative Technologies in engineering (ICACITE), International Conference on

作者： Angeline Benita Zaid Alsalami Ammar H. Shnawa Tareq Hafdhi Abdtawfeeq Chandradeep Bhatt Dharmesh Dhabliya Nizar Abdel Amir Doaa Talib Zaidan Department of computer applications Hindustan institute of technology and science Department of computers Techniques engineering College of technical engineering The Islamic university Najaf Iraq College of Technical Engineering National University of Science and Technology Dhi Qar Iraq Al-Farahidi university Baghdad Iraq Department of CSE Graphic Era Hill University Adjunct Professor Graphic Era Deemed to be University Dehradun Uttarakhand Department of Information Technology Vishwakarma Institute of nformation Technology Pune India Medical Instrument Department Alkunooze University College Basra Iraq Department of Laser and Optical Electronics Engineering Kut University College Al Kut Iraq

ISBN: (数字)9798350360165

ISBN: (纸本)9798350360172

This work presents a novel valve that allows the intuitive spatial control of manipulators that are continuum or soft. The valve’s distinctive design allows it to concurrently manage three pressure feed points, drawing inspiration from hydraulic flapper valves. Soft robots may be precisely positioned thanks to the three antagonistically organised hydraulic actuators that are driven by these sites. The radial design of the variable control orifices is symmetrical with respect to rotation, enabling inline placement within the manipulator’s body. Different actuator pressurisations may be obtained by varying the 3D configurations of the valve ring, which results in a variety of manipulator spatial configurations. Because the valve design may be miniaturised, it can be used in situations where size is limited, including surgical robotics and compact soft manipulators. The valve’s performance may be accurately modeled through experimental validation, and it can be utilized to operate three actuators in an antagonistic arrangement for soft manipulator control.

关键词： Three-dimensional displays Medical robotics Computational modeling Orifices Hydraulic actuators Hydraulic systems Soft robotics

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AI for Disease Avoidance: Impact on Healthcare Personnel

AI for Disease Avoidance: Impact on Healthcare Personnel

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Communication, Computing and Energy Efficient Technologies (I3CEET), International Conference on

作者： Ammar Hameed Shnain Chandni Manral Ashish Sharma Himani S.A. Shoyusupov Vinay Kandpal Department of Computers Techniques Engineering College of Technical Engineering The Islamic University of Al Diwaniyah Al Diwaniyah Iraq College of Nursing Graphic Era Hill University India Department of Computer Engineering and Applications GLA University Mathura India Assistant Professor Department of Computer Science Engineering Chandigarh Engineering College Chandigarh Group of Colleges Jhanjeri Mohali Punjab India Docent Department of Physics and Chemistry Tashkent Institute of Irrigation and Agricultural Mechanization Engineers" National Research University Tashkent Uzbekistan Western Caspian University Scientific Researcher Baku Azerbaijan Department of Management Studies Graphic Era Deemed to be University Dehradun India

ISBN: (数字)9798331541583

ISBN: (纸本)9798331541590

Artificial intelligence is sometimes counted among the most powerful and practically effective scientific tools that humanity has available to it. Where AI and similar discoveries are just starting to show up in health care - However, theyre an increasing area of interest within enterprise plus society. And this progress can revolutionize various elements of healthcare - from payer, provider to even the pharmaceutical company regulations. Therefore, the goal of this study is to explore telehealth uses in infectious disease and broader health care. Methods Of The Literature On This Topic Were Searched Using Databases Like PubMed But Additionally, Google Scholar, Amazon Instructor,, Scopus, Thomson As Well As the Diary of Research. Methods The included papers for this review were selected according the complete available information. For just or whether the programs are sufficiently scaled to be helpful, keeping adherence of AI in routine clinical practice is significantly harder trouble confronting these healthcare enterprises. The synthesized data indicates that AI might make medical staff more smarter, allowing them to spend their time taking care of patients longer rather than becoming weary. Putting all this together, it could well be that "conventional medicine" is closer to the future than we might assume, where patients will see a computer before being allowed access to an actual doctor.

关键词： Infectious diseases Reviews Precision medicine Telemedicine Medical services Machine learning Telecommunication computing Personnel Artificial intelligence Medical diagnostic imaging

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Unveiling deceit: A computer vision-based approach to detect lies from facial expressions

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AIP Conference Proceedings 2024年第1期3134卷

作者： Elizabeth Isaac Pristy Paul Thoduparambil M. Raghu Rohitha Anuvindha Ansalam T. P. Akshay Assistant Professor Department of Computer Science and Engineering Mar Athanasius College of Engineering Kothamangalam Kerala India Department of Computer Science and Engineering Mar Athanasius College of Engineering Kothamangalam Kerala India

Polygraph tests monitor heart rate and pulse for truth determination but aren’t fully reliable. Face based deception detection systems are noninvasive and are more convenient. The proposed system uses computer Vision to monitor eye blink rate, gaze direction, lip compression, and pupil dilation to determine truth accuracy in real-time. The number of frames with a threshold value lower than the Eye-Aspect-Ratio (EAR) constant determines the eye blink count. The pupil coordinates are used to track the eye gaze direction. The eye centroid to iris contour maximum distance tracks pupil dilation. Lip compression is determined by measuring the distance between the mean of upper and lower lip landmarks. The weighted sum method is used to find the lie index from the obtained features. The true positive rate (TPR) and false positive rate (FPR) at various threshold values is calculated and an ROC (Receiver Operating Characteristic) curve is plotted using these values. The point on the curve with the highest TPR and lowest FPR determines the optimal threshold for the lie detection system. This method allows customization of the system’s performance to meet specific requirements.

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