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An Ensemble Heart Disease Prediction Model Bagged with Logistic Regression, Naïve Bayes and K Nearest Neighbour.

An Ensemble Heart Disease Prediction Model Bagged with Logis...

引用

International Conference on Smart Technologies for Sustainable Development 2021, ICSTSD 2021

作者： Majumder, Annwesha Banerjee Gupta, Somsubhra Singh, Dharmpal Dept. of Information Technology JIS College of Engineering Nadia West Bengal Kalyani India Amity University West Bengal Kolkata India Dept. of Computer Science and Engineering JIS College of Engineering Nadia West Bengal Kalyani India

Cardiovascular disease is an immense threat in today's world. Every year lots of people died by this disease. Though medical science evolved and evaluated much extends still in many areas of the world there are lack of medical support. Early detection of cardiovascular can save lives where machine learning can help us. Advancement of artificial intelligence and machine learning are now playing an effective role in disease prediction and different health care applications. In this paper a heart disease prediction model has been proposed using ensemble learning. Single learning mechanism may not give a proper result so by combing multiple learners better performance from the model can be achieved. In this paper bagging with Logistic Regression, Gaussian Naïve Bayes and K Nearest Neighbour have applied. © Published under licence by IOP Publishing Ltd.

关键词： Cardiology

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Latency of spatial audio plugins: a comparative study

Latency of spatial audio plugins: a comparative study

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Immersive and 3D Audio: from Architecture to Automotive (I3DA)

作者： Matteo Tomasetti Angelo Farina Luca Turchet Dept. of Information Engineering and Computer Science University of Trento Trento Italy Dept. of Engineering and Architecture University of Parma Parma Italy

The use of spatial audio plugins (SAPs) with Ambisonics processing and binaural rendering has become widespread in the last decade, thanks to their increased accessibility and usability. SAPs are particularly relevant in scenarios involving real-time music playing with headphones, such as networked music performance and individual recreational music-making using backing tracks. However, a crucial issue that has been largely overlooked thus far is the measurement of the processing latency introduced by currently available SAPs. Identifying which SAPs are the fastest is essential to enable designers, musicians, and researchers to create time-sensitive applications involving 3D audio. To bridge this gap, we compared nine systems formed by different SAPs that enable 3D audio management. We measured the latency of each system throughout the third-order Ambisonics plugins pipeline: encoding, room simulation, sound scene rotation, and binaural decoding. In particular, the measurements were performed utilizing different buffer sizes. Results showed that to achieve a minimization of the latency, it is necessary to use a combination of different SAPs from different systems. Based on our measurements, we propose two spatial audio systems that mix different SAPs. Considering a sampling rate of 48 kHz, a Dell Alienware x15 R2 laptop running the Windows 10 operating system, and an RME Fireface UFX sound card, the two systems achieved an overall latency of 0.33 ms and 0.94 ms respectively.

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IoT ML Driven Holistic Health Monitoring and Fitness Assessment Empowering Proactive Wellbeing Management

IoT ML Driven Holistic Health Monitoring and Fitness Assessm...

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Students Conference on engineering and Systems (SCES)

作者： Sachin Mishra Anurag Singh Dept. of Computer Science and Engineering Government Engineering College Raipur Raipur Chhattisgarh India Dept. of Electronics & Communication Engineering International Institute of Information Technology Chhattisgarh Naya Raipur India

ISBN: (数字)9798350374711

ISBN: (纸本)9798350374728

In recent years, significant advancements in the area of non-invasive and wearable technology have paved the way for widespread applications of personalized and remote health monitoring. Health monitoring enables proactive management of one's well-being, and enhances overall health outcomes. With the advent of such technologies there are lots of platforms developed. But such platforms are not successful in providing the followings: 1) the ability to monitor all major health vitals in one unified application, & 2) the provision of a holistic health score derived from these non-invasive vitals for fitness measurement. In response, this paper presents a novel solution featuring: 1) An IoT-ML enabled platform for self-monitoring of important health vitals, and 2) A fitness assessment score derived through ML algorithm using the health vitals of a person. By integrating data on various health parameters including heart rate, blood oxygen levels, and sleep patterns, advanced machine learning models are developed to analyze this data and predict the fitness score that accurately reflects an individual's overall health and fitness level. The performance of the proposed estimation model is evaluated using R2 and mean square error (MSE) and the best value is achieved using the XGBoost regressor of values 0.967 and 0.0033. This solution empowers individuals to take control of their well-being and improve their overall quality of life. Overall, the integration of non-invasive methods and IoT sensors for health vitals monitoring and fitness assessment presents a novel approach with significant potential to revolutionize health care. By empowering individuals with real-time insights and a comprehensive fitness score, this solution facilitates informed decision-making and enables individuals to proactively manage their health and well-being, ultimately enhancing their overall quality of life.

关键词： Measurement Pediatrics Medical services Mean square error methods Predictive models Prediction algorithms Real-time systems

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Examination of Phishing Attempts on Web-Based Business Applications and Their Preventions

Examination of Phishing Attempts on Web-Based Business Appli...

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2024 International Conference on Communication, computer sciences and engineering, IC3SE 2024

作者： Shaukat, Shahbaz Rehman, Faisal Chhabra, Gunjan Kaushik, Keshav Khan, Inam Ullah Sharef, Hanan Ali, Muhammad Zahid Ghaffar, Irfan Arshad, Muhammad Naeem Lahore Leads University Dept. Of Computer Science & Information Technology Lahore Pakistan Dept. Statistics & Data Science University Of Mianwali Mianwali Pakistan National University Of Sciences & Tech. Nust Islamabad Pakistan Graphic Era Hill University Department Of Cse Dehradun India Graphic Era Deemed To Be University Uttarakhand Dehradun India University Of Petroleum And Energy Studies School Of Computer Science Dehradun India Isra University Department Of Electronic Engineering Seas Islamabad Pakistan

ISBN: (纸本)9798350366846

Because of developments in the online sector, the occurrence of data breaches in web-based business systems is rising quickly. The attackers employ a range of different methods, including Distributed-Denial-of-Service attacks, Hacking Current Sessions, Reusing of Usernames and Passwords, Injections of Structured Query Language, and Phishing Attacks. Phishing attacks are widely used in the modern age. Phishing attacks are frauds attempt for tricking users into giving up sensitive information. Based on the intruder's intended target, such digital threats can damage specific people or whole industries. Researchers in this field offer a variety of phishing identification methods to stop such threats. Throughout this review paper, we categorize modern phishing identification methods into five main groups, which includes framework based on deep learning algorithms and artificial intelligence methodology based on search engines, methodology based on scanned URLs, methodology based on Whitelisting-Blacklisting Using Pictorial Resemblance as a Basis. Additionally, a statistical assessment of every individual category, giving its advantages and disadvantages. Additionally, this article offers users advice on how to prevent cyber-attacks. © 2024 IEEE.

关键词： Denial-of-service attack

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MEC-based Experimental Framework for Service Availability in 3D Non-Terrestrial Networks

MEC-based Experimental Framework for Service Availability in...

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IEEE Conference on Aerospace

作者： Henok Berhanu Tsegaye Claudio Sacchi Dept. of Information Engineering and Computer Science (DISI) University of Trento Trento Italy Department of Electrical and Computer Engineering The University of New Mexico Albuquerque (NM) NM

In the evolving landscape of telecom networks, the integration of 5G networks with 3D Non-Terrestrial Networks (NTN) presents pivotal use cases focussed on ensuring service continuity, ubiquity, and scalability. The scope of 3GPP Rel-17 addresses these challenges, emphasizing ubiquitous service coverage and extending 5G connectivity to remote and under-served areas. The recent adoption of Network Function Virtualization (NFV) and Software Defined Networking (SDN) empowers service providers to deliver resilient network services through flexible and programmable infrastructures. This work introduces an experimental testbed leveraging Multi-access Edge Computing (MEC) nodes to maintain service availability in the integrated 3D NTN networks. The deployed MEC-based 3D network demonstrates achieved service availability when terrestrial access is lost (emergency scenarios) or outside the network coverage area. In the scenario, a User Equipment (UE) initially connected to a terrestrial access network experiences a disruption in connectivity due to sudden damage, after which it seamlessly transitions to establish a connection with a satellite access network. A Low Earth Orbit (LEO) satellite constellation operating in regenerative mode with gNB as a payload is considered. Using edge computing functionalities close to UE, the performance of the deployed 5G NTN network improves the Quality of Service (QoS) with an acceptable range. The outcomes of this research will provide valuable insights into the design and implementation of resilient 5G service deployment in the 3D NTN networks.

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Penalty-Enabled Serverless Architecture for Cloud-based Startup Solutions

Penalty-Enabled Serverless Architecture for Cloud-based Star...

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International Conference on Inventive Computation Technologies (ICICT)

作者： Shajulin Benedict Rubiya Subair Tanya Gupta Vedanta S.P. Dept. of Computer Science and Engineering Indian Institute of Information Technology Kottayam Kerala India

The step to the success of startups is through overcoming competitors by adopting software innovations that improve businesses. Serverless computing model, recently, has intrigued a sizable number of startup professionals belonging to various sectors, including financial or IoT-enabled application developers. One of the main flaws is its heavy dependency on cloud providers, which can still result in hefty pricing to startups and stalling functions in applications. This article proposes a penaltyenabled serverless architecture for startups. The architecture can boost the economy of startups and can analyze the serverlessoriented cost-saving options in applications. The penalty-oriented approach could enable cloud architects, developers, and startups, to rethink the utilization of serverless functions; to gleam of with future innovations.

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VoIP Steganography Using iLBC Start State Residuals

VoIP Steganography Using iLBC Start State Residuals

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International Conference on Computational science and Computational Intelligence (CSCI)

作者： Ting-Xiao Miaw Quincy Wu Dept. of Computer Science and Information Engineering National Chi Nan University Nantou Taiwan

ISBN: (数字)9798350361513

ISBN: (纸本)9798350372304

In this paper, we propose a novel approach for information concealment within speech signals encoded using the iLBC codec. Our method leverages the start state's residual samples. We explore the utilization of the 3-bit quantized start state residual signal as an information hiding field. By strategically selecting specific quantization table indices based on the hidden bits, we achieved a remarkable four-fold enhancement in information hiding capacity while maintaining a high level of Perceptual Evaluation of Speech Quality (PESQ). This method offers a flexible balance between capacity and imperceptibility, allowing adaptation according to varying real-world scenarios. This adaptability empowers customization of information hiding techniques, making it highly applicable in diverse contexts.

关键词： Technological innovation Steganography Codecs Quantization (signal) Speech coding Scientific computing Navigation

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Tracking Risks from Multi-path TDoA-based Localization in Wireless Communications

Tracking Risks from Multi-path TDoA-based Localization in Wi...

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International Conference on Advanced Communication Technology (ICACT)

作者： Lan-Huong Nguyen Van-Linh Nguyen Yu-Hao Liu Dept. of Computer Science and Information Engineering National Chung Cheng University Chiayi Taiwan

New antenna technologies like phased array antennas are crucial to enhance high-speed data transmission in 5G and 6G high-frequency communications (mmWave/Terahertz). By exploiting spatial-temporal beamforming space (e.g., angle of arrival, angle of departure, time of arrival), directional antenna technologies can enable precise radio positioning. The feature has tremendous potential to be used in many futuristic applications, such as behavioral monitoring or assisting rescue teams moving inside a dark building. However, besides that positive side, precise radio positioning potentially poses significant tracking risks to mobile users. In this work, we demonstrate a case study of tracking a user in a restricted access building based on passively received signals. We then build an efficient mechanism to regenerate the trajectory of a target device by exploiting the characteristics of directional signals. We also exploit the capability of simultaneous localization and mapping using multipath channel information. Through theoretical analysis and simulation, we found that tracking risks of radio positioning techniques are real and challenging to resolve.

关键词： Wireless communication Phased arrays Privacy Target tracking Simultaneous localization and mapping Surveillance Buildings

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Unified Object Detection Model for Image Style Convertible Modalities

Unified Object Detection Model for Image Style Convertible M...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Mu-Chuan Li Xiu-Zhi Chen Yen-Lin Chen Dept. of Computer Science & Information Engineering National Taipei University of Technology Taipei Taiwan

Object detection is an important task in computer vision. In earlier studies, object detection mostly works on single-modal. But recently, in order to improve detection efficiency, researchers start adding more modals for improving the robustness of detection result. In this paper, we assume that all input modals which can convert to image style are able to complete object detection task through a unified model. We choose YOLOv7 as our baseline model and use RGB and infrared images from the public dataset Camel to test our hypothesis. Based on our experiment results, training RGB and IR images together obtains better performance than training individually, which shows that all image style modalities are possibly handled by a unified model and even achieve better results.

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Mutual Authentication between Aerial Base Stations and Core Network: A Lightweight Security Scheme

Mutual Authentication between Aerial Base Stations and Core ...

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Australasian Telecommunication Networks and Applications Conference, ATNAC

作者： Kai-Chun Yang Po-Ching Lin Dept. of Computer Science and Information Engineering National Chung Cheng University Chiayi Taiwan

The 3rd Generation Partnership Project (3GPP) is actively working on incorporating non-terrestrial networks (NTNs) into the 5G system. NTNs integrate various aerial and space components like uncrewed aerial vehicles (UAVs), airships, and satellites to offer flexible solutions for extending the ground systems. In the context of aerial radio access networks (ARANs), aerial base stations (ABSs) are deployed in clusters. However, due to the dynamic nature of ABSs, additional identity authentication is required between user equipment (UE), core network (CN), and ABSs. It is crucial to design lightweight authentication protocols that are subject to the limited computing resources and energy constraints of UAVs. We observe that aerial facilities possess multiple attributes, which can be leveraged to integrate identity authentication of the involved entities based on specific attribute sets. This study proposes an attribute-based authentication and key agreement protocol for ABSs and the CN, utilizing ciphertext-policy attribute-based encryption (CP-ABE). This approach enables access control based on physical attributes, ensuring secure communication and identity authentication in the ARANs. The protocol reduces the need for repeated execution of the authentication and key agreement (AKA) protocols between UE and the CN during ABS replacement. It employs elliptic curve cryptography (ECC) and fixed-length keys to minimize computational overhead during decryption, and also supports mutual authentication between ABSs during UE handover. We simulated the protocol on standard curve P-256, P -384, P-521 encryption performance, and analyze the relationship with attribute universe size. The design aligns with the 3GPP specifications, aiming for practical field application in the future.

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