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Securing Digital Media in the Age of AI and Deepfakes: A Hardware-Based Solution

Securing Digital Media in the Age of AI and Deepfakes: A Har...

引用

IEEE Southeastcon

作者： Eric Scott Sisson Steven C. Puckett Dept. of Electrical and Computer Engineering Mississippi State University Starkville AL USA Computer Science and Information Systems University of North Alabama Florence AL USA

ISBN: (数字)9798331504847

ISBN: (纸本)9798331504854

The current capabilities of deepfake and Artificial Intelligence (AI) technologies make it difficult to distinguish what is original from what is fabricated. Electronic documents can be digitally signed to verify and authenticate their information, making them admissible as evidence in court. In contrast, images and videos from Internet of Things (IoT) devices-such as police body cameras, security cameras, and smartphones are susceptible to deepfake manipulation, which can undermine their authenticity in legal proceedings. This research hypothesizes that digitally signing image and video data utilizing hardware cryptographic coprocessors could render them admissible in court. Utilizing our processes will also identify if any manipulation of the image data has occurred. Our approach addresses a critical need in the justice system to combat the challenges deepfakes pose and could pave the way for enhanced trust in digital evidence, bolstering the integrity of the judicial process.

关键词： Deepfakes Law enforcement Media Cameras Hardware Cryptography Internet of Things Artificial intelligence Digital signatures Coprocessors

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On the Feasibility of a 3D-Printable Conductive Filament-Based Antenna Array for Conformal Applications

On the Feasibility of a 3D-Printable Conductive Filament-Bas...

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Antennas and Propagation & USNC/URSI National Radio Science Meeting

作者： Hemachandra Konduru Benjamin Callies Dipankar Mitra Sayan Roy Shuvashis Dey Rahul Gomes Dept. of Computer Science and Computer Engineering University of Wisconsin La Crosse WI USA Dept. of Physics and Astronomy University of Wisconsin La Crosse WI USA Electrical and Computer Engineering Division of Energy Matter and Systems University of Missouri Kansas City MO USA Dept. of Electrical and Computer Engineering North Dakota State University Fargo ND USA Dept. of Computer Science University of Wisconsin Eau Claire WI USA

ISBN: (数字)9798350369908

ISBN: (纸本)9798350369915

NASA is actively addressing communication challenges, particularly in developing phased array antenna systems (PAAS) within the 2-2.5 GHz frequency band. The initial stages involve designing individual flexible antenna elements and non-phased antenna arrays. To address the issues of conformal phased array antennas, this work presents design enhancements for a 3D-printable microstrip patch antenna using a conductive Electrifi filament. The modifications, informed by recent research, are evaluated for the antenna's return loss and surface current distributions. The adopted modifications demonstrated superior performances in terms of gain and input reflection (S 11 ). The investigation extends to a 1x4 antenna array based on the modified patch antenna element. Notably, the conformal antennas and the antenna array exhibit low return loss alongside high gain and directivity, suggesting substantial potential for efficient performance in conformal surface applications.

关键词： Phased arrays Microstrip antenna arrays Electric potential Patch antennas NASA Resonant frequency Microstrip antennas

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Exploring the Efficacy of Spatial Subsampling Methods for 3D Image Projection for 2D Classification

Exploring the Efficacy of Spatial Subsampling Methods for 3D...

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IEEE International Workshop on Imaging systems and Techniques (IST)

作者： Alif Aditya Wicaksono I Ketut Eddy Purnama Reza Fuad Rachmadi Feby Artwodini Muqtadiroh Ardyono Priyadi Mauridhi Hery Purnomo Dept. of Electrical Engineering Institut Teknologi Sepuluh Nopember Surabaya Indonesia Dept. of Computer Engineering Institut Teknologi Sepuluh Nopember Surabaya Indonesia Dept. of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (数字)9798350378214

ISBN: (纸本)9798350378221

In this paper we purpose several methods for creating 2D projection image from a 3D scan such as from CT or MR scans, and then look at different types of 2.5D projections with a growing window sizes and see its effects on the efficacy of the machine learning model when combined with the selection algorithms. As such we are using Shi-Tomasi Detectors, Sobel Edge Detectors, Sum of Pixel Intensity, Center Select, and Random Selection as selection algorithms from which we select the most interesting index for a given scan, from which depending on the window size, we stack the neighboring slices in the axial plane to the channel dimension creating a 2.5D image from which we could pass into our ResNet-9 model configured for classification and train the model for a given number of epochs, under the same conditions for all of our tests, this ensures that for all of our experiments the main effector is window size and the selection algorithm. From our tests we found that the Center Select on average outperforming the other selection algorithm, this result indicate that medical information is mostly centered around the scan, and when combined with the saving of 60% less parameters, the purposed method shows a new way of processing 3D Scans for processing with a 2D CNN model.

关键词： Solid modeling Three-dimensional displays Machine learning algorithms Image edge detection Computed tomography Neural networks Detectors Machine learning Classification algorithms Indexes

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An Ising Machine-Based Hybrid Optimization Method Using Constraint Conversion and Correction

An Ising Machine-Based Hybrid Optimization Method Using Cons...

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2025 IEEE International Conference on Consumer Electronics, ICCE 2025

作者： Iwata, Kinya Tawada, Masashi Togawa, Nozomu Dept. of Computer Science and Communications Engineering Waseda University Japan Green Computing Systems Research Organization Waseda University Japan

ISBN: (纸本)9798331521165

This paper proposes an Ising machine-based hybrid optimization method to solve combinatorial optimization problems, which consists of an approximate formulation process, an annealing process with an Ising machine, and a correction process. The approximate formulation and correction aim to improve the performance of the Ising machine. Computational experiments were conducted on the multi-dimensional knapsack problem (MKP) using an Ising machine. We compare the results with those of the proposed method and the conventional method and demonstrate the effectiveness of the proposed approach. © 2025 IEEE.

关键词： Combinatorial optimization

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Design of a Smart and Green Industry 4.0 Architecture

Design of a Smart and Green Industry 4.0 Architecture

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Information Technology (ACIT)

作者： Khaled Hamdan Okba Kazar Dept. of Computer Science and Software Engineering College of IT UAEU UAE Dept. of Information Systems & Security College of IT UAEU UAE

The industrial sector has entered a phase of profound change which sees digital technologies being integrated into the heart of industrial processes. This fourth industrial era gives birth to a new generation of factory called “Digital Factory”, “Industry 4.0”. This industrial change is the result of the integration of new digital technologies into manufacturing processes and the optimization of energy consumption. The commitment to the environment is also a key and success factor of Industry 4.0 and green in particular the reduction of carbon emissions and pollution. This is how smart green industry try to take in charge the problem of energy consumption and to reduce the Co2 pollution. The goal of this paper is to present the new model of smart green industry using distributed artificial intelligence based on multi-agent system (MAS). The motivation to use the intelligent approach based on MAS is based on the similarity between the fundamental concepts of the cyber-physical system and those contained in the architecture and operation of MAS such as communication, coordination, decision and cooperation.

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Can adaptive strategies sustain bidirectional LoRaWAN traffic?

Can adaptive strategies sustain bidirectional LoRaWAN traffi...

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Workshop on Metrology for Industry 4.0 and IoT

作者： Emiliano Sisinni Alessandro Depari Paolo Bellagente Alessandra Flammini Ivanovitvh Silva Thommas Flores Paolo Ferrari Dept. of Information Engineering University of Brescia Brescia ITALY Dept. of Computer Engineering and Automation UFRN Natal BRAZIL Postgraduate Program in Electrical and Computer Enigeneering UFRN Natal BRAZIL

Low Power Wide Area Networks (LPWANs) are a viable solution for addressing the requirements of Internet of Things (IoT) applications that can tolerate sporadic updates, possibly only in the uplink (from the field towards the cloud and the user) direction. LoRaWAN is currently the most diffused example of LPWAN, exploiting LoRa radios. LoRa, an enhanced version of chirp spread spectrum modulation, trades off the radio sensitivity for the data rate, permitting extensive area coverage. However, the price is a relatively long frame duration, leading to high collision probability in dense, asynchronous scenarios; fortunately, polarity inversion minimizes collisions between uplink and downlink traffic. Therefore, adaptive strategies (based on some feedback from the backend) have also been suggested to adapt the data rate depending on the environment condition dynamically. This work compares the ADR (Adaptive Data Rate) and the ADP (Adaptive Data Payload) strategies when bidirectional traffic exists, using a purposely designed simulator. Results considering a different number of gateways show that ADP tries to maximize the amount of data effectively received in both direction but suffer from the adoption of longer frame duration, leading to higher collision probability. In contrast, ADR tries to force the adoption of the fastest data rate, limiting the overall amount of transferred data.

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Analysis of Perturb and Observe MPPT Under Varying PV Operating Climatic Conditions

Analysis of Perturb and Observe MPPT Under Varying PV Operat...

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IEEE SSD International Multi-Conference on systems, Signals and Devices

作者： Abdirahim Addawe Musaria K. Mahmood Sulaiman M. Karim Ahmad M. Nezam dept. of Energy Systems Engineering Ankara Yildirim Beyazit University Ankara Turkiye dept. of Medical Instr. Tech. Eng. Jannat Iraq College Ramadi Iraq dept. of Computer Technology Engineering Al-Hadba'a University College Mosul Iraq dept. of Computer Engineering Karabuk Üniversitesi Karabuk Turkey

ISBN: (数字)9798350374131

ISBN: (纸本)9798350374148

Improving the efficiency of photovoltaic (PV) sys-tems has emerged as a critical priority. Achieving optimal power production from solar modules requires operating at maximum power point (MPP) under various climatic conditions. This paper describes the operation of the Perturb and Observe (P&O) as an efficient Maximum Power-Point Tracking (MPPT) algorithm. Simulations of various operating scenarios are performed using MATLAB to assess the algorithm efficiency under both Standard Test Conditions (STC) and Partial Shading Conditions (PSC). This study considers factors such as output power efficiency, time response, and steady-state power oscillation. The simulation results show a fast-tracking, lower oscillation in the case of STC but fail to track the MPP in the case of multi-panel under PSC.

关键词： Photovoltaic systems Solar irradiance Simulation Production Software Steady-state Time factors

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Skin Color-Based Frontal Face Detection and Gender Classification

Skin Color-Based Frontal Face Detection and Gender Classific...

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International Conference on Control, Decision and Information Technologies (CoDIT)

作者： Daghan Dogan Tankut Acarman Mechanical Systems and PCB Design Tubitak Bilgem Kocaeli Turkiye Computer Engineering Dept. Galatasaray University Istanbul Turkiye

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

Face detection is necessary for many different applications: face recognition, image database management, etc. In this study, a face detection algorithm is performed on images based on human skin color, and the detected face image is classified based on gender. In this algorithm, three color spaces (RGB, HSV, YCbCr) are used and face detection is performed by combining different thresholds in these three spaces. Outputs of the algorithm are used as feature vectors for the gender classification. The genders in the images are classified with 100% accuracy using the different classification methods.

关键词： Accuracy Image color analysis Face recognition Nose Mouth Machine learning Skin Vectors Classification algorithms Face detection

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Compact Complementary Split Ring Resonator Based Sensor for Non-Invasive Glucose monitoring

Compact Complementary Split Ring Resonator Based Sensor for ...

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Telecommunications Conference (ITC-Egypt), International

作者： Adnan Zahran Youssif Ayman Aly Angie R. Eldamak Dalia N. Elsheakh Electronics and Communication Systems Engineering Program Faculty of engineering Ain Shams University Cairo Egypt Electronics and Communication Systems Engineering Dept. Faculty of engineering Ain Shams University Cairo Egypt Electrical Dept. Faculty of Engineering and Technology Badr University in Cairo Badr City Cairo Egypt

ISBN: (数字)9798350351408

ISBN: (纸本)9798350351415

This paper presents a novel approach for noninvasive glucose monitoring using a Compact Complementary Split Ring Resonator (CCSRR) based sensor. The sensor design is initially simulated using High-Frequency Structure Simulator (HFSS) software, and then experimental validation is done. We carried out simulations with and without a finger phantom model to closely resemble conditions in real situations. The sensor exhibits high sensitivity and accuracy in detecting glucose concentrations within blood samples. Vector Network Analyzer was used along with the sensor to validate the simulation results. The results demonstrate close agreement between simulation and experimental data, affirming the effectiveness of the proposed sensor design for non-invasive glucose monitoring.

关键词： Sensitivity Split ring resonators Fingers Phantoms Network analyzers Vectors Glucose

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Infrared and terahertz spectrally adaptive filters based on MEMS technologies

Infrared and terahertz spectrally adaptive filters based on ...

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Smart Photonic and Optoelectronic Integrated Circuits 2023

作者： Martyniuk, Mariusz Silva, K.K.M.B. Dilusha Kala, Hemendra Zawierta, Michal Wallace, Vincent P. Walus, Konrad Faraone, Lorenzo Shadrivov, Ilya V. ARC Centre for Transformative Meta-Optical Systems Dept. of Electrical Electronic & Computer Engineering The University of Western Australia 35 Stirling Highway PerthWA6009 Australia Dept. of Physics The University of Western Australia 35 Stirling Highway PerthWA6009 Australia Electrical and Computer Engineering The University of British Columbia Vancouver Canada Nonlinear Physics Centre Research School of Physics and Engineering Australian National University CanberraACT2601 Australia

ISBN: (纸本)9781510659551

Future remote imaging systems promise spectroscopic functionalities extending well beyond the visible wavelengths. This allows real-time spectral information to be gathered from multiple wavelength bands which is highly attractive for numerous remote sensing spectroscopy/imaging applications and aids target recognition. This paper briefly presents a micro-electromechanical systems (MEMS) based electrically tuneable adaptive filter technology developed for the technologically important infrared (IR) bands of the electromagnetic spectrum and reports on the progress towards extension to the significantly longer wavelength THz band. The demonstrated concepts focus on merging MEMS-enabled dynamic modulation with the spectral sensitivity and selectivity of metamaterials, as well as on the possibility of adopting the rapidly evolving 3D printing technologies. © 2023 SPIE.

关键词： MEMS

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