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8th International Conference on Smart Cities, Internet of Things and Applications, SCIoT 2024

作者： Borojeni, Ghazal Pouresfandiyar Abdi, Athena K.N. Toosi University of Technology Faculty of Computer Engineering Tehran Iran

ISBN: (纸本)9798350374674

In this paper, a smart IoT-based waste management system (IoT-WMS) is designed and implemented to be employed in smart cities eliminating their permanent monitoring requirement. This system separates wet and dry wastes and collects them in distinct places, monitors the amount of waste deposited in each dumpster, and in case of their fullness, an alert message activates the nearest garbage collection system based on a considered routing algorithm. In this context, each dumpster is equipped with moisture and ultrasonic sensors to determine the waste kinds and lead them to the appropriate bin besides measuring the capacity of each dumpster. The capacity of each place is compared to a defined threshold and in case of meeting it, the central system is alerted to streamline the routing process for garbage collection machines. This routing process, determines the optimal sequence for emptying the full bins, thereby maximizing efficiency and minimizing travel time for the garbage collection vehicles. Several experiments are performed to study the efficiency of our proposed system in different scenarios and its efficiency is good in all of them. © 2024 IEEE.

关键词： Internet of things

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Enhancing Image Security with Rossler Attractor-Based Encryption 2

Enhancing Image Security with Rossler Attractor-Based Encryp...

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2nd International Conference on Cyber Resilience, ICCR 2024

作者： Al-Najjar, Hazem Al-Rousan, Nadia University Of Petra Faculty Of Information Technology Department Of Computer Science Amman Jordan German Jordanian University Faculty Of Electrical Engineering And Information Systems Department Of Computer Engineering Jordan

ISBN: (纸本)9798350394962

we introduced image encryption algorithms with high sensitivity, such that even a single alteration in a plain-text image would result in a complete transformation of the ciphered image. The first algorithm employed pixel values in a substitution approach, whereas the second algorithm utilized pixel values to generate chaotic function keys. Additionally, we employed a Rossler chaotic function with pixel data to generate chaotic values for the shuffling and substitution processes. After subjecting these algorithms to rigorous testing using standard metrics, our experiments revealed the efficiency of the algorithms in image encryption. Notably, even a minute change in the original image resulted in a vastly different ciphered image. These proposed algorithms underscored the effectiveness of integrating chaotic functions with pixel information, significantly enhancing image security. © 2024 IEEE.

关键词： Cryptography

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PWM-Based Double Integral Sliding Mode Control for Current Control Loop of DC-DC Boost Converter 14

PWM-Based Double Integral Sliding Mode Control for Current C...

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14th International Conference on Power, Energy and Electrical engineering, CPEEE 2024

作者： Vongkoon, Pokkrong Benjanarasut, Jirawut Liutanakul, Pisit Division of Instrumentation and Automation Engineering Technology Faculty of Engineering and Technology King Mongkut's University of Technology North Bangkok Thailand Department of Electrical and Computer Engineering Faculty of Engineering King Mongkut's University of Technology North Bangkok Thailand

ISBN: (纸本)9781643685199

The use of dc-dc boost converters is common for increasing output voltage and supplying power. These converters, being time-varying nonlinear circuits, encounter uncertainties in load and variations in input voltage and current over a wide range. Nonlinear sliding mode control (SMC) has emerged as a promising strategy, offering advantages in terms of stability and robustness against parameter and load fluctuations. To address switching frequency variations in conventional hysteresis-based SMC, the indirect SMC or pulse-width modulation (PWM)-based SMC has been adopted. However, the adoption of PWM-based SMC raised concerns regarding steady-state error in power converters. Despite incorporating the integral of the state variable into the sliding surface of PWM-based SMC, the steady-state error still exists. Focusing on the current control loop of a dc-dc boost converter with the goal of reducing steady-state error, this study proposes double integral sliding mode control (DISMC), which employs a sliding surface that includes the double integral term of the current error. Simulation and experimental results demonstrate that the proposed approach effectively mitigates the steady-state error of the inductor current. © 2024 The Authors.

关键词： Pulse width modulation

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PyPIM: Integrating Digital Processing-in-Memory from Microarchitectural Design to Python Tensors 57

PyPIM: Integrating Digital Processing-in-Memory from Microar...

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57th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2024

作者： Leitersdorf, Orian Ronen, Ronny Kvatinsky, Shahar Technion-Israel Institute of Technology Viterbi Faculty of Electrical and Computer Engineering Haifa Israel

ISBN: (纸本)9798350350579

Digital processing-in-memory (PIM) architectures mitigate the memory wall problem by facilitating parallel bitwise operations directly within the memory. Recent works have demonstrated their algorithmic potential for accelerating data-intensive applications;however, there remains a significant gap in the programming model and microarchitectural design. This is further exacerbated by aspects unique to memristive PIM such as partitions and operations across both directions of the memory array. To address this gap, this paper provides an end-To-end architectural integration of digital memristive PIM from a high-level Python library for tensor operations (similar to NumPy and PyTorch) to the low-level microarchitectural design. We begin by proposing an efficient microarchitecture and instruction set architecture (ISA) that bridge the gap between the low-level control periphery and an abstraction of PIM parallelism. We subsequently propose a PIM development library that converts high-level Python to ISA instructions and a PIM driver that translates ISA instructions into PIM micro-operations. We evaluate PyPIM via a cycle-Accurate simulator on a wide variety of benchmarks that both demonstrate the versatility of the Python library and the performance compared to theoretical PIM bounds. Overall, PyPIM drastically simplifies the development of PIM applications and enables the conversion of existing tensor-oriented Python programs to PIM with ease. © 2024 IEEE.

关键词： Python

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Dempster-shafer deep capsule attention model (DDCAM)

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Multimedia Tools and Applications 2025年 1-29页

作者： Mehravaran, Zahra Ghanizadeh, Ahmad Navid Hamidzadeh, Javad Harati, Ahad Mashhad Iran Department of Computer Science Saarland University Saarbrücken Germany Faculty of Computer Engineering and Information Technology Sadjad University Mashhad Iran

A capsule neural network faces significant challenges in achieving high accuracy on complex datasets due to its high computational complexity and limited ability to represent features. To overcome these limitations, this paper proposes a novel framework, Dempster-Shafer Deep Capsule Attention Model (DDCAM), that combines 3D convolution with attention mechanisms to improve feature representation. This model utilizes the Dempster-Shafer Theory to manage uncertainty and optimize feature selection, resulting in more reliable and accurate learning. In this architecture, dense capsule blocks are used to improve gradient flow and mitigate the effects of vanishing gradients. The DDCAM consistently outperforms state-of-the-art capsule networks on a wide range of datasets, especially complex datasets such as MNIST, CIFAR10, SVHN, and Fashion MNIST. DDCAM improves accuracy by 1.29% on CIFAR10 and 0.76% on SVHN compared to existing models, while achieving precision improvements of 1.22% and 1.08% on CIFAR10 and SVHN, respectively. Additionally, experiments conducted on the AffNIST dataset demonstrate the robustness of DDCAM in handling affine transformations, where it achieved significantly higher accuracy compared to existing models. These results illustrate the model’s enhanced ability to capture complex data relationships and improve both accuracy and precision, advancing capsule neural network performance. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Affine transforms

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SDN as a defence mechanism: a comprehensive survey

SDN as a defence mechanism: a comprehensive survey

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作者： Ayodele, Believe Buttigieg, Victor Communications and Computer Engineering Faculty of Information and Communication Technology University of Malta Msida Malta

Investing in cybersecurity is increasingly considered a significant area and aspect a business or organisation should seriously consider. Some of these security solutions are network-based and provide many levels of protection. However, traditional networks are seen to be vendor-specific and are limited, enabling minor to no network flexibility or customisation. Implementing SDN to combat cyberattacks is a workable option for resolving this traditional network constraint. Less attention has been paid to how SDN has been utilised to address security concerns, with most surveys concentrating on the security challenges the SDN paradigm faces. This study aims to provide a comprehensive overview of the state-of-the-art on how SDN has been used to combat attacks between 2017 and 2022 by highlighting the specifics of each literature, its advantages, limitations, and potential areas for further study. This work introduces a taxonomy highlighting SDN’s fundamental traits and contributions as a defence mechanism (SaaDM). © 2023, The Author(s).

关键词： Cybersecurity

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FUSION-BASED ALGORITHM FOR X-RAY PHASE CONTRAST IMAGING TECHNIQUES

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UPB Scientific Bulletin, Series A: Applied Mathematics and Physics 2024年第3期86卷 157-176页

作者： Rasinar, Cezara Safca, Nicoleta Cotorceanu, Elena Ciobanu, Ionut Stefanoiu, Dan Faculty of Automatic Control and Computer Science National University of Science and Technology POLITEHNICA Bucharest Romania Magurele Romania National University of Science and Technology POLITEHNICA Bucharest Romania Faculty of Chemical Engineering and Biotechnologies National University of Science and Technology POLITEHNICA Bucharest Romania

Phase Contrast X-ray Imaging represents a technique that has shown remarkable potential in the research field, by providing better visualization of soft tissue, high-contrast images, and high spatial resolution. In the phase contrast imaging technique, the extraction of the three images represented by attenuation, differential phase contrast, and dark-field contrast is essential, providing, in a specific way, information about the nature of the analyzed tissue. This paper introduces a new method based on the three acquired images merging while adjusting the weighting factors, aiming to identify the interest object and to extract the information provided by each contrast channel. In this regard, a fusion-based algorithm was applied to images acquired, using a 5.66 m long Interferometer Talbot-Lau with ultrahigh sensitivity of 0.84 µradians and mean energy of 30 keV. The obtained results are quite promising, as shown in the end of the article. © 2024, Politechnica University of Bucharest. All rights reserved.

关键词： Interferometers

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A Novel Framework for Gauging Information Extracted from Smartphones Using Neutrosophic Logic

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Neutrosophic Sets and Systems 2025年 76卷 154-171页

作者： Abou Alzahab, R.M. Ismail, Amr Abd Elkhalik, S.H. Shams, M.Y. El-Bakry, H.M. Salama, A.A. Department of Mathematics and Computer Science Faculty of Science Port Said University Egypt Department of Cybersecurity College of Engineering and Information Technology Buraydah Private Colleges Buraydah51418 Saudi Arabia Department. of Communication and Computer Engineering Air Defense University Egypt Faculty of Artificial Intelligence Kafrelsheikh University Kafrelsheikh33516 Egypt Department of Information Systems. Faculty of Computer and Information Science Mansoura University Egypt

Smartphones contain a vast amount of information about their users, which can be used as evidence in criminal cases. However, the sheer volume of data can make it challenging for forensic investigators to identify and use the most relevant information. Neutrosophic logic is a generalization of fuzzy logic that allows for uncertainty and vagueness, making it a more potent tool for dealing with the ambiguity of real-world data. The proposed framework aims to identify and utilize the most relevant information for forensic investigators, making it easier to solve criminal cases using Neutrosophic logic. This novel approach provides a more powerful tool for dealing with the ambiguity of smartphone data, ultimately improving the accuracy and effectiveness of forensic investigations. Our research has utilized Neutrosophic logic to evaluate the degree of truth, falsity, or Indeterminacy of this information. Additionally, this study analyzes conversations between individuals using Excel’s fuzzy lookup add-in to determine the percentage of truth and false in each conversation. The results were compiled into a dataset and utilized a Neutrosophic Python code to evaluate the information. The results indicate the percentage of truth, false, and Indeterminacy in each conversation and which can be used to determine its admissibility as evidence and which not. © 2025, University of New Mexico. All rights reserved.

关键词： Smartphones

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High data-rate two-three inputs all-optical and gate based on FWM in highly nonlinear fiber

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Journal of Optical Communications 2024年第3期45卷 513-522页

作者： Sabbar, Adnan Abdulnabi, Saif Hasan Fakhruldeen, Hassan Falah Department of Electrical Engineering Faculty of Engineering University of Kufa Kufa Iraq Computer Techniques Engineering Department Faculty of Information Technology Imam Ja'afar Al-Sadiq University Al-Najaf Al-Ashraf Iraq Department of Electronics and Communications Engineering Faculty of Engineering University of Kufa Kufa Iraq Department of Electrical Engineering College of Engineering University of Baghdad Baghdad Iraq

In this paper, two-and-three channel all-optical AND logic gates based on four-wave mixing in a highly nonlinear fiber for 120 Gbps on-off keying signals were designed, simulated, and investigated. Simulation results show low bit error rate and consequently fairly high Q-factor at the receiving end in both two and three inputs AND gates, as well as the logic operation, is confirmed by the open eye diagrams with moderate power penalties for both designs. © 2022 Walter de Gruyter GmbH, Berlin/Boston.

关键词： Four wave mixing

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A Review on the Role of IoT in Smart Agriculture with Reference to Efficiency, Sustainability and Precision Farming 5

A Review on the Role of IoT in Smart Agriculture with Refere...

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5th International Conference on Electronics and Sustainable Communication Systems, ICESC 2024

作者： Yesankar, Prajyot R. Bandre, Prajwal Verma, Prateek Gudadhe, Amit G. Gourshettiwar, Palash Puri, Chetan Faculty of Engineering and Technology Department of Computer Science & Design Maharashtra Wardha442001 India

ISBN: (纸本)9798350379945

Agriculture is changing into a more sustainable and productive sector as a result of the fusion of modern technologies, especially the Internet of Things (Io'T), with traditional farming methods. This shift, dubbed 'Smart Agriculture,' rethinks how farmers conduct cultivation, managing resources, and sustainability by using the power of online access, data analytics, and automation. A network of linked systems and gadgets that gather, transfer, and evaluate real-time data forms the basis of smart agriculture. With previously unheard-of precision and efficiency, farmers may now remotely track and supervise a variety of aspects of their farming activities thanks to this connectivity. The transformative influence of IoT on productivity, sustainability, or precision farming highlights the need for it in agriculture. A crucial element of smart agriculture is precision farming, which entails exact management of resources like pesticides, fertilizers, and water as well as real-time data processing. This study examines the ways in which integrated geospatial technologies, weather forecasting, and IoT -driven automation and actuation support productive and sustainable farming methods. The emphasis on aquaculture monitoring also draws attention to the wide range of uses for IoT in agriculture that go beyond conventional crop growing. The crucial part that IoT plays in meeting the growing need for food production on a worldwide scale while using scarce resources. Precision farming, management of water, and crop monitoring are made possible by Internet of Things technologies including sensors, drones, or automated machinery. These apps support environmental sustainability in agriculture, improve resource efficiency, and enable data-driven decision-making. This research work goes into more detail on the fundamental components of smart agriculture, such as sensor technologies, infrastructure connectivity, automation, data transfer, acquisition, and integration with geospatial tec

关键词： Smart agriculture

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