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21st International Multi-Conference on Systems, Signals and Devices, SSD 2024

作者： Alsheakh, H. Mahdi, Tareq Nasser Kadhm, Mustafa S. Al Shammari, Abeer Abdulsahib, Fatimah I. Taher, Hazeem B Algriree, Waleed Alobaidi, Marwa Q. Mohammed, Hayder Dhafer College of Science Mustansiriyah University Department of Computer Science Baghdad Iraq College of Pharmacy Mustansiriyah University Clinical Laboratory Science Baghdad Iraq Ministry of Science and Technology Baghdad Iraq Szechenyi Istvan Egyetem Department of Computer Science Gyor9026 Hungary University of Thi-Qar Department of Computer Science Thi-Qar Iraq University Putra Malaysia Dep. of Wireless Communication and Network Engineering Selangor Malaysia National Engineering School of Sfax Sfax University Sfax Tunisia College of Pharmacy Mustansiriyah University Baghdad Iraq

ISBN: (纸本)9798350374131

The Internet of Things (loT) facilitates the interconnection of a vast array of devices, services, and individuals for data exchange in multi-domain loT ecosystems, the social, physical, and cyber domains. That emerges various security, privacy, and trust issues, such as vulnerabilities, threats, and attacks. Addressing these challenges requires innovative solutions. New controls (solutions) are needed. Trust by design can be one of these controls, supporting security and privacy (among other system components). This paper proposes a Trusted loT (TloT), a trust-by-design model, and highlights the author's principal contributions. First, it advocates for implementing Tlo T through trust services. Second, it outlines an architecture for using trust by design in loT, including the design of its top-level structure and activities. Minor contributions include overviews of loT and trust, as well as looking at security and privacy in terms of security services and privacy services, respectively. © 2024 IEEE.

关键词： Internet of things

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Camera-LiDAR Fusion based Object Segmentation in Adverse Weather Conditions for Autonomous Driving

Camera-LiDAR Fusion based Object Segmentation in Adverse Wea...

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International Baltic Electronics Conference, BEC

作者： Junyi Gu Mauro Bellone Artjom Lind Dep. of Mechanical and Industrial Engineering Tallinn University of Technology Tallinn Estonia FinEst Centre for Smart Cities Tallinn University of Technology Tallinn Estonia Institute of Computer Science University of Tartu Tartu Estonia

ISBN: (数字)9798350365115

ISBN: (纸本)9798350365122

This paper presents the results of a series of machine learning experiments that focus on the domain adaption between different training datasets for autonomous driving. The experiments use a neural network model obtained through transfer learning from the Waymo Open Dataset and then tested with our custom dataset, which was recorded at the TalTech campus in different weather conditions. In this work, we developed a set of tools to extract and process the sensory data from the iseAuto shuttle. The camera and LiDAR sensors of the iseAuto shuttle were calibrated, and the point clouds data of the LiDAR sensor was projected onto the camera plane. We present, here, our publicly available iseAuto dataset which was used for a classification task under adverse weather and low illumination conditions. The iseAuto dataset contains 8000 frames of camera and LiDAR data for traffic object detection and segmentation. We provide ground truth annotations of 2400 frames, in which the object contours were manually labeled out. In addition, we provided the manual-labeled ground-truth segmentations of cars and humans in images, which can be used by the community to test the accuracy of the segmentation of their models. An additional focus of this paper is to demonstrate that with a few custom annotated data, using transfer learning and semi-supervised learning, it is possible to obtain reasonable accuracy on noisy real-world data. The current performance in vehicle segmentation ranges from 65% to 85% in intersection over union (IoU) and between 43% and 60% IoU for pedestrian segmentation in challenging scenarios such as nighttime and rainy weather.

关键词： Point cloud compression Laser radar Accuracy Transfer learning Object segmentation Semisupervised learning Cameras Sensors Autonomous vehicles Meteorology

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CCDF measurement with Multi Impairment of Wi-Fi 6 performance using MATLAB Simulink

CCDF measurement with Multi Impairment of Wi-Fi 6 performanc...

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Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), International Conference on

作者： Fatima Faydhe Al-Azzawi Rasha Hassan Abbas Zainab Faydhe Al-Azzawi Kamal Y. Kamal Electronics Technical Department Institute of Technology Middle Technical University MTU Baghdad Iraq Dep. Computer Technology Engineering AL- Mansour university college Iraq

The current 802.11ac WiFi standard is built upon and improved by WiFi 6, commonly referred to as “AX WiFi” or “802.11ax WiFiIn response to the increasing number of gadgets in the globe, WiFi 6 was first developed. If you have numerous smart home devices, VR equipment, or a lot of other gadgets, WiFi 6 employs a 160 MHz Channel to offer a channel that larger and providing by 1024-QAM to more data with one packed, increasing efficiency. In this paper 802.11 ax design and implemented in MATLAB Simulink where CCDF measurement (Complementary Cumulative Distribution Function measure the probability that a signal's instantaneous power may exceed its target level or average power) with multi-impairment performance illustrated using 1024-QAM to offer a packed signal with increasing data and a channel with160 MHz, 1024 QAM examined with AWGN and Rayliegh fading channel in term of bit error rate.

关键词： Power measurement Phase measurement Quadrature amplitude modulation Software packages Bit error rate Measurement uncertainty IEEE 802.11ax Standard

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Speech Emotion Recognition using Supervised Deep Recurrent System for Mental Health Monitoring

Speech Emotion Recognition using Supervised Deep Recurrent S...

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IEEE World Forum on Internet of Things (WF-IoT)

作者： Nelly Elsayed Zag ElSayed Navid Asadizanjani Murat Ozer Ahmed Abdelgawad Magdy Bayoumi School of Information Technology University of Cincinnati OH United States School of Information Technology University of Cincinnati Ohio United States Dep. of Electrical & Computer Engineering University of Florida Florida United States School of Engineering and Technology Central Michigan University Michigan United States Dep. of Electrical & Computer Engineering University of Louisiana at Lafayette Louisiana Unted States

Understanding human behavior and monitoring mental health are essential to maintaining the community and society's safety. As there has been an increase in mental health problems during the COVID-19 pandemic due to uncontrolled mental health, early detection of mental issues is crucial. Nowa-days, the usage of Intelligent Virtual Personal Assistants (IVA) has increased worldwide. Individuals use their voices to control these devices to fulfill requests and acquire different services. This paper proposes a novel deep learning model based on the gated recurrent neural network and convolution neural network to understand human emotion from speech to improve their IVA services and monitor their mental health.

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Controller Chip Design of Serial-Parallel-Switched-Capacitor Coupled-Inductor Boost DC-AC Inverter 3

Controller Chip Design of Serial-Parallel-Switched-Capacitor...

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3rd International Conference on Power and Energy Applications, ICPEA 2020

作者： Chang, Yuen-Haw Li, Zheng-Bin Chaoyang University of Technology Dep. of Computer Science and Information Engineering Wufong Taichung Taiwan

ISBN: (纸本)9781728190297

This work is focused on the controller chip design/implementation of serial-parallel-switched-capacitor coupled-inductor (SPSCCI) inverter applied to high-gain boost DC-AC conversion. The controlled plant is its power part made up of SPSCCI booster and DC-link inverter to perform a practical DC-AC conversion from 12V to 110VRMS, 60Hz. Here, for achieving this goal, the controller is its control part constructed by sinusoidal pulse-width-modulation (SPWM) compensator plus phase generator, and then is implemented under Cadence full-custom design through pre-layout simulation (PRE-SIM) and post-layout simulation (POST-SIM) on a fabricated chip of integrated circuit: no. D35-105B-E0008, TSMC $0.35\mu \mathrm{m}$ 2P4M, $1500\times 1500\mu \mathrm{m}^{2}$, 5.0V, 2.68mW, max frequency 200kHz. Finally, with the help of this controller chip, a closed-loop prototype circuit of this SPSCCI can be realized and verified experimentally for some test cases of DC-AC to validate the feasibility of this inverter. © 2020 IEEE.

关键词： Pulse width modulation

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Image Encryption using Chaotic Techniques: A Survey Study

Image Encryption using Chaotic Techniques: A Survey Study

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2021 International Conference in Advances in Power, Signal, and information technology, APSIT 2021

作者： Ayad, Jenan Hasan, Fadhil Sahib Ali, Alaa H. Hussein, Zaid Khudhur Abdulkareem, Hanan J. Jalil, Mustafa A. Ahmed, Ghaidaa Sadiq, Ahmed University of Technology Electrical Engineering Dep. Baghdad Iraq Electrical Engineering Dep. Mustansiriyah University Baghdad Iraq Technical Engineering Al-Esraa University College Medical Instrumentation Baghdad Iraq Al-Esraa University College Computer Technical Engineering Baghdad Iraq

ISBN: (纸本)9781665425063

The sharing of information through unsecured networks like the internet has increased fast recently. This information could be text, audio, image, or video. The security of data transmission is an essential issue. Encryption is one of the most effective techniques to assure safe data transmission. Videos and Images size are very large and have a high correlation between neighboring pixels, so the classical encryption techniques such as RSA, DES, AES, etc., cannot be utilized for image encryption while chaotic image encryption schemes, which use a high level of unpredictability in key generation, can solve this problem. The chaos encryption main properties are pseudorandom number, sensitivity to initial conditions, and large key size. The goal of this study was to find the best chaotic map for picture encryption, this research looks into the use of chaos maps for image encryption, such as the Tent map, Logistic map, Sine map, and others. Arnold's Cat map, and also presents a comparison for their performance. © 2021 IEEE.

关键词： Data transfer

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Data Security System for IoT Applications 3

Data Security System for IoT Applications

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3rd International Conference on Advanced Science and engineering, ICOASE 2020

作者： Mohammed, Shahed Al-Jammas, Mohammed H. Ninevah University Computer and Information Engineering Dep. Mosul Iraq

ISBN: (纸本)9781665415798

The Internet of Things (IoT);can be defined as a think connected to the internet anywhere and anytime. Data security is one of the vital concepts in IoT security. So, the data to be uploaded should be made secure. There are many differenced cryptography algorithms such as Advanced Encryption Standard (AES), Nth degree truncates polynomial ring (NTRU), RSA, DES, and others to make security for data in IoT. In this paper, we suggest an algorithm that combines the feature of symmetric and asymmetric cryptography algorithms. Where the AES algorithm and NTRU public key used to create the special key at the receive side, then send the key to the sender side to make data security for IoT. The proposed algorithms provide strong security and low computation. The model has been simulating by MATLAB. The execution time for text (526 characters) for key generation is 0.092414 seconds, 0.020521 seconds for encryption and 0.060921 seconds for decryption and the execution time for image with size (512 * 512) for key generation is 0.101900 seconds, 1.699665 seconds for encryption and 12.82071 seconds for decryption. © 2020 IEEE.

关键词： Internet of things

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Investigation and Study of the Performance of a DVB over Satellite Link Using M-Ary PSK 2

Investigation and Study of the Performance of a DVB over Sat...

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2nd IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and computer engineering, MI-STA 2022

作者： Bishi, Hager Alshepane, Somya H. Alhaddar, Kheriya F. Alnour, Saaida E. Electronic Technology Collage Communication Dep. Tripoli Libya Higher Institute of Science and Technology EE Department Al Khomes Libya Al-Mergib University Department of Electrical and Computer Engineering Al Khomes Libya Al-Gharefa College of Technical Engineering EE Department Al-Gharefa Libya

ISBN: (数字)9781665479189

ISBN: (纸本)9781665479189

In this paper, the performance of a Digital Video Broadcasting Over Satellite Link, a digital Video second-generation for satellite broadcasting (DVB-S2), was investigated and studied as a case study. The simulation was done by using Matlab in order to evaluate DVB-S2 performance developments in channel coding (LDPC codes) combined with modulation schemes (QPSK and 8-PSK ), code rates, forward error correction (FEC) and transmission channels. The obtained simulation results were graphically presented, where the bit error rate as a function of the signal to noise ratio (S/N) was evaluated as well. © 2022 IEEE.

关键词： Signal to noise ratio

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Fast Normalized Cross-Correlation for Template Matching with Rotations

arXiv

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arXiv 2023年

作者： Almira, José María Phelippeau, Harold Martinez-Sanchez, Antonio Dep. Engineering and Computers Technology Applied Mathematics University of Murcia Campus de Espinardo Murcia30100 Spain Materials and Structural Analysis Division Advanced Technology Thermo Fisher Scientific Bordeaux France Dep. Information and Communications Engineering University of Murcia Campus de Espinardo Murcia30100 Spain

Normalized cross-correlation is the reference approach to carry out template matching on images. When it is computed in Fourier space, it can handle efficiently template translations but it cannot do so with template rotations. Including rotations requires sampling the whole space of rotations, repeating the computation of the correlation each time. This article develops an alternative mathematical theory to handle efficiently, at the same time, rotations and translations. Our proposal has a reduced computational complexity because it does not require to repeatedly sample the space of rotations. To do so, we integrate the information relative to all rotated versions of the template into a unique symmetric tensor template -which is computed only once per template-. Afterward, we demonstrate that the correlation between the image to be processed with the indep.ndent tensor components of the tensorial template contains enough information to recover template instance positions and rotations. Our proposed method has the potential to speed up conventional template matching computations by a factor of several magnitude orders for the case of 3D *** Codes 68U10 © 2023, CC BY-NC-ND.

关键词： Rotation

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Forecasting of Monkeypox Cases Using Optimized SARIMAX Based Model

Forecasting of Monkeypox Cases Using Optimized SARIMAX Based...

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Electronic engineering (ICEEM), International Conference on

作者： Mahmoud Elshabrawy Marwa M. Eid Abdelaziz A. Abdelhamid El-Sayed M. El-Kenawy Abdelhameed Ibrahim Dept. of Communications & Electronics Delta Higher Institute of Engineering and Technology Mansoura Egypt Faculty of Artificial Intelligence Delta University for Science and Technology Mansoura Egypt Dep. of Computer Science Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt Computer Engineering and Control Systems Dept. Faculty of Engineering University Mansoura Egypt

This study presents a dipper-throated-based ant colony optimization (DTACO) with the Seasonal Auto-Regressive Integrated Moving Average with eXogenous factor (SARIMAX) model (DTACO+SARIMAX) to forecast monkeypox cases. The work optimizes the SARIMAX model using grid search cross-validation and fine-tunes its hyperparameters using DTACO to improve prediction accuracy. The suggested model's consistency and accuracy are considerable compared to previous studies. Comparisons with state-of-the-art models validate the proposed model's predictions. DTACO+SARIMAX can be used to control disease and monitor monkeypox. Healthcare organizations and governments can better manage and track the pandemic's course by offering accurate predictions, reducing public panic, and enabling effective pandemic planning. The Analysis of Variance (ANOVA) and Wilcoxon signed-rank tests are conducted on the proposed DTACO-SARIMAX model and compared models.

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