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8th international conference on Information and Communication technology for Intelligent systems, ICTIS 2024

8th International Conference on Information and Communicatio...

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8th international conference on Information and Communication technology for Intelligent systems, ICTIS 2024

ISBN: (纸本)9789819758098

The proceedings contain 65 papers. The special focus in this conference is on Information and Communication technology for Intelligent systems. The topics include: A Malmquist Index for Measuring Productivity and Efficiency of ICTs on Literacy Rate Versus Life Expectancy;importance of Cybersecurity Education to Reduce Risks in Academic Institutions;learn with Love Application to Support the Development of Reading Skills in People with Down Syndrome;boosting Accuracy and Reducing Time in Laser Shooting Practices: Video Processing Solutions for Impact Evaluation;differential Performance of Satellite Navigation in Urban and Rural Andes of Ecuador;IP to Satellite Adaptation Level for a Bent Pipe Network Using DVB-S2/RCS2 Standards;performance Analysis for image Rendering on Different Operating systems;Classification of Motor imagery Tasks Using EEG signal Analysis and Linear Discriminant Analysis;unveiling Mortality Patterns in Ecuador: A K-Modes Clustering Approach to Categorical Data Analysis;FFAD: A Novel Metric for Assessing Generated Time Series Data Utilizing Fourier Transform and Auto-Encoder;deTroll—Leveraging Graph Neural Networks with Attention Mechanism to Detect State-Sponsored Trolls;cancer Ease: You Are Not Alone!;experimental Development of Scripts for Data Network Automation, Using the Python Programming Language and Open-Source Tools;a Novel Two-Stage Classification Architecture Integrating Machine Learning and Artificial Immune System for Intrusion Detection on Balanced Dataset;identification and Functional Annotation of Potential Biomarkers Associated with Thalassemia Using Machine Learning-based Knowledge Discovery;Artificial Intelligence in Colorectal Cancer Diagnosis: "SYNERGY-NET" in Campania FESR-POR (European Fund of Regional Development—Regional Operative Program) Research Project;A New Optimization of Agricultural Greenhouse’s PAYLOAD Applying Light Weighted, Green Intelligent, and Secured Solutions based on Visual Watermarking of Objective an

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8th international conference on Information and Communication technology for Intelligent systems, ICTIS 2024

8th International Conference on Information and Communicatio...

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8th international conference on Information and Communication technology for Intelligent systems, ICTIS 2024

ISBN: (纸本)9789819766741

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8th international conference on Information and Communication technology for Intelligent systems, ICTIS 2024

8th International Conference on Information and Communicatio...

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8th international conference on Information and Communication technology for Intelligent systems, ICTIS 2024

ISBN: (纸本)9789819766772

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8th international conference on Information and Communication technology for Intelligent systems, ICTIS 2024

8th International Conference on Information and Communicatio...

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8th international conference on Information and Communication technology for Intelligent systems, ICTIS 2024

ISBN: (纸本)9789819766833

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8th international conference on Information and Communication technology for Intelligent systems, ICTIS 2024

8th International Conference on Information and Communicatio...

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8th international conference on Information and Communication technology for Intelligent systems, ICTIS 2024

ISBN: (纸本)9789819757985

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8th international conference on Information and Communication technology for Intelligent systems, ICTIS 2024

8th International Conference on Information and Communicatio...

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8th international conference on Information and Communication technology for Intelligent systems, ICTIS 2024

ISBN: (纸本)9789819766802

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Reliable ML-based image Processing and Compression for an Onboard Imaging Pipeline 15

Reliable ML-Based Image Processing and Compression for an On...

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15th Space Computing conference

作者： Garrett, Tyler Wildenstein, Diego Wang, Eileen Gretok, Evan George, Alan Univ Pittsburgh NSF Ctr Space High Performance & Resilient Comp S Pittsburgh PA 15260 USA

ISBN: (纸本)9798350384543;9798350384536

Sensing and onboard-processing capabilities of next-generation spacecraft continue to evolve. Enabled by advances in avionic systems, large amounts of data can be collected and stored on orbit. Nevertheless, loss of signal, communication delays, and limited downlink rates remain a bottleneck for delivering data to ground stations or between satellites. This research investigates a multistage image-processing pipeline and demonstrates rapid collection, detection, and transmission of data using the Space Test Program - Houston 7 - Configurable and Autonomous Sensor Processing Research (STP-H7-CASPR) experiment aboard the international Space Station as a case study. Machine-learning (ML) models are leveraged to perform intelligent processing and compression of data prior to downlink to maximize available bandwidth. Moreover, to ensure accuracy and preserve data integrity, a fault-tolerant ML framework is employed to increase pipeline reliability. This pipeline fuses the fault-tolerant Resilient TensorFlow framework with ML-based tile classification and the CNNJPEG compression algorithm. This research shows that the imaging pipeline is able to alleviate the impact of limited communication bandwidth by using reliable, autonomous data processing and compression techniques to achieve reduced transfer sizes of essential data. The results highlight the benefits provided by resilient classification and compression including minimized storage use and reduced downlink time. Furthermore, the findings of this research are used to assess the feasibility of such a system for future space missions. The combination of these approaches enables the system to achieve up to a 98.67% reduction in data size and downlink time as well as the capacity to capture imagery up to 75.19x longer time period for a given storage size, respectively, while maintaining reconstruction quality and data integrity.

关键词： Data Compression Fault-Tolerant Computing Resilient Computing image Processing image Classification Machine Learning Deep Learning Onboard Processing

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Blurred Portrait Processing technology for Public Security Criminal based on MATLAB 8

Blurred Portrait Processing Technology for Public Security C...

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8th international conference on Intelligent Computing and signal Processing, ICSP 2023

作者： Dang, LongFei Yang, Miao Si, Binghe Yi, Kai Sichuan Police College Intelligent Policing Key Laboratory of Sichuan Province LuZhou China Sichuan Police College Department of Computer Science and Technology LuZhou China Sichuan Police College Department of Criminal Technology LuZhou China

ISBN: (纸本)9798350302455

Criminal digital image processing technology is becoming increasingly important in public security operations, especially in the identification of characters in surveillance videos and the analysis of behavior and actions in on-site videos, where blurry portraits in videos are particularly important. The paper mainly focuses on how to restore facial features of blurred human figures in video surveillance. Two methods, inverse filtering and Wiener filtering, are used to process blurred human figures, ultimately achieving the expected results. This provides assistance in identifying the same case as a major and difficult case. © 2023 IEEE.

关键词： Security systems

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Administrator Controlled Timetable based Automatic Facial Recognition Attendance System

Administrator Controlled Timetable Based Automatic Facial Re...

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2023 international conference in Advances in Power, signal, and Information technology, APSIT 2023

作者： Dash, Ankit Jena, Siba Prasad Gantayet, Amaresh Siksha O Anusandhan Deemed to Be University Dept. of Electrical and Electronics Engineering Bhubaneswar India Siksha O Anusandhan Deemed to Be University Dept. of Computer Science & Engineering Bhubaneswar India

ISBN: (纸本)9798350339369

A facial recognition attendance system is a technology-based solution for automating the process of taking attendance in schools, offices, or other organizations. The present work mainly focuses on image capturing, training and recognition in real-time using free source Python modules. The system uses computer vision algorithm such as the Open Source Computer Vision (OpenCV) Library to recognize and identify individuals based on their facial features. Additionally, the Numerical Python (NumPy) library is used to store and manipulate arrays of facial recognition data, such as feature vectors or embeddings. The Tkinter GUI is employed as an interface for managing attendance and allows the administrator to access the system and view attendance records for individual students. The ESP32-CAM module and thin-film-transistor liquid-crystal (TFT) display has been used together to provide a live video stream, while the server processes the video and records attendance. This system would improve accuracy of attendance records because it will remove all the hassles of roll calling (in case of classroom attendance of students) and will save valuable time of the teachers as well as students. © 2023 IEEE.

关键词： Open systems

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A Novel signal Detection Method based on Multivariate Test Statistics for Ambient Backscatter Communications

A Novel Signal Detection Method Based on Multivariate Test S...

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IEEE/CIC international conference on Communications in China (ICCC)

作者： Wang, Jing Ren, Pinyi Xu, Dongyang Lu, Lei Xi An Jiao Tong Univ Shaanxi Smart Networks & Ubiquitous Access Res Ct Sch Informat & Commun Engn Xian Peoples R China

ISBN: (数字)9781665484800

ISBN: (纸本)9781665484800

Ambient backscatter technology is an important technology of the internet of Things (IoT), which can use ambient radio frequency (RF) sources to communicate between passive devices. However, most studies on the signal detection problem of ambient backscatter communication are based on the fact that tags have two backscatter states, reflective and non-reflective. In this paper, we present a signal detection scheme for ambient backscatter systems which the tag can backscatter in three states. First, we design a maximum a posteriori (MAP) detector to detect the multiple symbols sent by the tag using the continuously received signals. Then we propose a coding scheme that reduces the bit error rate (BER) and improves the system throughput. Furthermore, we derive expressions of detection threshold and BER, and give the system throughput under different coding schemes. At last, experimental simulations are conducted to prove our study.

关键词： ambient backscatter coding scheme signal detection bit error rate (BER)

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