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Secret Key Optimization for Secure Speech Communications

computers, Materials & Continua 2022年第8期72卷 3025-3037页

作者： Osama S.Faragallah Mahmoud Farouk Hala S.El-Sayed Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Computer Science and Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf 32952Egypt Department of Electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Kom 32511Egypt

This paper answers three essential questions for audio speech cryptosystems in time and discrete transform *** first question is,what are the best values of sub-keys that must be used to get the best quality and security for the audio cryptosystem in time and discrete transform *** second question is the relation between the number of sub-keys,the number of secret keys used,and the audio speech signal block’s ***,how many possible secret keys can be used to get the best quality and security results for the audio speech cryptosystem in time and discrete transform *** audio cryptosystem discussed before in recent research is applied to answer the three previous *** simulation results and analysis answer all three questions;first,there is no specific,well-defined format or rule for sub-key values that must be used to get a better *** the second question,yes,there is a direct relationship between the number of applicable keys,number of available sub-keys,and block size of speech audio signal and formulated into a first-order *** the third question,each discrete transform domain has a specific acceptable range of sub-keys that imply a particular number of keys that can be used to get a better cryptosystem.

关键词： Audio cryptosystem chaotic baker map secret key size

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Model and Computation of traffic Resilience 23

Model and Computation of traffic Resilience

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24th International Conference on computer Systems and Technologies, CompSysTech 2023

作者： Rothkrantz, Leon Faculty of Electronic Engineering Mathematics and Computer Science Delft University of Technology Netherlands and Faculty of Transportation Sciences Czech Technical University in Prague Czech Republic

ISBN: (纸本)9798400700477

At many times we observed disturbances of traffic flow on highways. This may be caused by traffic accidents, bad weather conditions, road maintenance or rush hours. The Road Traffic Management takes many rules and regulation, to make road sections more robust to disturbances and improve the recovery from disturbances in traffic flow (traffic resilience). To study the effect and impact of these rules and regulations assessment models of traffic resilience was needed. In this paper, we designed and tested such an assessment model. The model is inspired by the well-known Resilience Triangle. The assessment of traffic resilience was based on measurements of the speed of traffic flow on highways. Neural Networks were used to model and smooth recorded speed data. The Traffic Resilience model has been tested on real life data. © 2023 Owner/Author.

关键词： Roads and streets

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A Hybrid-Logic Scheme for High-Performance and Low-Power Decoders in 7nm Process 17

A Hybrid-Logic Scheme for High-Performance and Low-Power Dec...

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17th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2024

作者： Xia, Donghao Zhang, Yuejun Xu, Mengfan Wen, Liang Guo, Yiting Ningbo University Faculty of Electrical Engineering and Computer Science Zhejiang315211 China China Coast Guard Academy Department of Electronic Technology Ningbo315211 China

ISBN: (纸本)9798350361834

Advancing memory circuitry has heightened the performance criteria for memory in diverse chip applications. Decoders, serving as peripheral circuits to memory devices, have be a prominent area of academic interest. The new NAND/NOR gate circuits are proposed using pass-transistor logic (PTL) and transmission gate logic (TGL). The two hybrid-logic design schemes of high-performance and low-power (HPLP) and HPLP inverting (HPLPI) utilizing PTL and TGL gate in combination with static CMOS logic for decoders are proposed, while achieving fewer transistors, faster speed, lower power dissipation as compared to conventional circuits. Experiments are conducted in TSMC 7nm FinFET process for hybrid-logic decoders. The simulation results indicate that, in comparison to conventional decoders, the proposed hybrid-logic 3-8 decoder demonstrates improvements, with the HPLP design reducing delay by over 19% and power by over 71%, and the HPLPI design reducing delay by over 17% and power by over 48%. © 2024 IEEE.

关键词： NAND circuits

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Automatic Stop Line Violations Detection using Histogram of Oriented Gradients and Support Vector Machine 5

Automatic Stop Line Violations Detection using Histogram of ...

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5th International Conference on Information and Communications Technology, ICOIACT 2022

作者： Larasati, Dwira K. Setyawan, Iwan Febrianto, Andreas A. Satya Wacana Christian University Faculty of Electronic and Computer Engineering Salatiga Indonesia

ISBN: (数字)9781665451406

ISBN: (纸本)9781665451406

This research presents an automatic system for the detection of stop line violations. Stop line violation is defined as a condition in which a vehicle does not appropriately stop behind a stop line. This research uses the Histogram of Oriented Gradients (HOG) as feature extractor and Support Vector Machine (SVM) as classifier. We tested our system using a self-made dataset, containing images taken from a traffic CCTV camera. This dataset consists of three sub-datasets for different conditions: photos taken in the morning, afternoon, and evening. Our experiments show that the proposed system achieves accuracy rates of approximately 94.2%, 98.1%, and 95.9%, respectively, for the morning, afternoon, and evening sub-datasets (using HOG cell size of 16x16, linear kernel SVM and k-fold validation with $k$ =10). Therefore, the average accuracy rate is 96.07%. The system is also shown not to be severely affected when the photos are taken during a rainy condition, yielding an average accuracy of 95.3%. Finally, when the system is tested using new data (i.e., those not involved in the k-fold validation experiments) an average accuracy of 98.7% can be achieved. These results show that the proposed system performs well and that the combination of HOG and SVM shows good potential for application in automatic detection of stop line violations. © 2022 IEEE.

关键词： Support vector machines

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Adaptive Rate Reaching Law Based Sliding Mode Control for a Three-Phase F-type Converter Operated as Bidirectional Battery Charger and SAPF 50

Adaptive Rate Reaching Law Based Sliding Mode Control for a ...

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50th Annual Conference of the IEEE Industrial electronics Society, IECON 2024

作者： Komurcugil, Hasan Guler, Naki Bayhan, Sertac Dedeoglu, Seyfullah Department of Computer Engineering Eastern Mediterranean University Famagusta Via Mersin 10 Turkey Department of Electrical-Electronic Engineering Technology Faculty Gazi University Ankara Turkey Qatar Environment and Energy Research Institute Hamad Bin Khalifa University Doha Qatar Department of Electrical and Electronics Engineering Faculty of Engineering Hitit University Çorum Turkey

ISBN: (纸本)9781665464543

This paper presents an adaptive rate reaching law based sliding mode control method for a three-phase F-type converter. Unlike the existing reaching laws in which the gain is always constant, the proposed reaching law employs an adaptive gain that is continuously updated with the grid current errors. This means that the gain can reach to its smallest value when the grid current errors are zero. It is shown that the minimum gain reduces the reaching time. As a consequence of using adaptive gain, the dynamic response of system is improved considerably (i.e: the reaching time is reduced). Moreover, it is shown that the three-phase F-type converter can be operated as bidirectional battery charger as well as shunt active power filter (SAPF) for compensating the nonlinear loads connected at the point of common coupling. The proposed control and correct operation of system are validated by MATLAB/Simulink simulations under various operating conditions which include battery charging mode, battery discharging mode, and simultaneous operation as SAPF and battery charging/discharging. © 2024 IEEE.

关键词： Sliding mode control

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Optimization of microwave-assisted extraction in the purification of triglycerides from non-edible crude Calophyllum inophyllum oil as biodiesel feedstock using artificial intelligence

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South African Journal of Chemical engineering 2024年 47卷 312-321页

作者： Azhar, Badril Gunawan, Setiyo Muharja, Maktum Avian, Cries Satrio, Dendy Aparamarta, Hakun W. Department of Chemical Engineering Institut Teknologi Sepuluh Nopember (ITS) Surabaya 60111 Indonesia Department of Chemical Engineering Faculty of Engineering University of Jember Kalimantan 37 Jember 68121 Indonesia Department of Electronic and Computer Engineering National Taiwan University of Science and Technology Taipei 10607 Taiwan Department of Ocean Engineering Institut Teknologi Sepuluh Nopember (ITS) Surabaya 60111 Indonesia

Crude nyamplung Calophyllum inophyllum is a potential non-edible feedstock for biodiesel production. Calophyllum Inophyllum oil (CCIO) is a non-edible oil that has a high content of triglyceride (TG) and free fatty acid (FFA). This study aims to optimize microwave-assisted power and extraction time of triglyceride purification from C. inophyllum crude oil for biodiesel. This work deployed Artificial Intelligence (AI) algorithms consisting of eight Machine Learning (ML) algorithms and found the most accurate model, then optimized using the Particle Swarm Optimization (PSO) *** result of machine learning modelling Random Forest achieved higher accuracy in R-Square and lower Mean Square Error (MSE) than any other models. Overall, in R-Square average across all variables was 0.949 ± 0.026 and the MSE average of 0.097 ± 0.068. This result can be interpreted as a mean deviation between the predicted value and an accurate value of less than 0.1 for all variables. The optimum of the TG compound resulted in the power of 462.3 W and time of 39.12 min that equalled at 84.02% and FFA equalled at 6.92%. The TG have increased by 11% from the reference range, which states conventional methods from crude oil. Comparison with the MAE method has a minimum fitness value difference of 0.0006 but has a smaller accuracy of less than 1%. Implementing this prediction and optimization method can shorten the extraction time by 5.8 min and reduce energy consumption or system work by 130 kJ. This method can be used for input parameter model prediction and parameter optimization in purification for biodiesel feedstock. Further research can be carried out using other artificial intelligence methods to optimize biodiesel production. © 2023 The Author(s)

关键词： Biodiesel Calophyllum inophyllum Machine learning Microwave-assisted extraction PSO

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Finite element investigation of disk transducers from porous piezoceramics of complex structure with cymbal end-caps in external medium

Finite element investigation of disk transducers from porous...

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2023 International Conference Days on Diffraction, DD 2023

作者： Nasedkin, Andrey V. Nasedkina, Anna A. Nassar, Mohamed E. Southern Federal University Institute of Mathematics Mechanics and Computer Science Russia Menoufia University Faculty of Electronic Engineering Menouf Egypt

ISBN: (纸本)9798350372168

The paper considers two main applications of the transducers in the form of a piezoelectric disk with two metal plate end-caps, which are usually called cymbal transducers. The first variant of the cymbal transducer is an energy harvesting device. Here, the cymbal transducer is located inside the asphalt pavement and generates electric fields under low-frequency oscillatory mechanical action on the pavement. The second version of the transducer is located in a liquid medium and, under the electrical influence oscillating at the first resonant frequency, generates acoustic waves. For both cases, we investigate the efficiency of transducers for four types of piezoceramic materials: solid piezoceramics, conventional porous piezoceramics, and porous piezoceramics with thin and thick layers of metallization of the pore surfaces. The studies were carried out numerically using the finite element method in the ANSYS package. The calculation results showed that the use of porous piezoceramics or porous piezoceramics without or with metallized pore surfaces can increase the efficiency of electromechanical transformations compared to dense ones. Moreover, the fact whether the transducer is excited by the electric potential difference or by the electric current plays a significant role for actuator applications. © 2023 IEEE.

关键词： Transducers

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Autonomous Pharmaceutical Care with Large Language Models

Autonomous Pharmaceutical Care with Large Language Models

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Dou, Yutao Deng, Zike Xing, Tao Xiao, Jian Peng, Shaoliang Hunan University College of Computer Science and Electronic Engineering Changsha410082 China University of Hong Kong Faculty of Engineering Department of Computer Science Hong Kong999077 Hong Kong Guilin University of Technology College of Computer Science and Engineering Guilin541006 China Central South University Xiangya Hospital Department of Pharmacy Changsha410008 China

ISBN: (纸本)9798350386226

In modern healthcare systems, physicians often diagnose and prescribe within their specific fields of expertise. However, this compartmentalized approach may not fully assess the overall health condition of patients, leading to potential risks associated with polypharmacy, such as drug-drug interactions. Consequently, pharmaceutical care becomes a critical systemic task, typically managed by clinical pharmacists. Despite their crucial role, clinical pharmacists face challenges in providing personalized medication guidance due to the vast and rapidly evolving body of medical knowledge. With the advancement of artificial intelligence and large language models (LLMs), these technologies have demonstrated significant potential in pharmaceutical care by effectively reducing medication errors and adverse drug events, and alleviating the workload of healthcare professionals. However, existing LLMs still struggle with the accurate interpretation and automated execution of tasks in complex clinical scenarios like pharmaceutical care. To address these challenges, we developed the Shennong-Agent system, a multi-agent framework for LLMs with integrated multimodal inputs. Shennong-Agent is enabled to analyze and segment tasks using chained reasoning and autonomously perform complex pharmacy care tasks using tools such as knowledge retrieval and web search. Rigorously evaluated by medical experts, this system not only surpasses existing LLMs in performance but also enhances its capabilities through reinforcement learning with human feedback. © 2024 IEEE.

关键词： Multi agent systems

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Face Recognition and Face Spoofing Detector for Attendance System 5

Face Recognition and Face Spoofing Detector for Attendance S...

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5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022

作者： Marutotamtama, Jane Chrestella Setyawan, Iwan Handoko Satya Wacana Christian University Faculty of Electronic and Computer Engineering Salatiga Indonesia

ISBN: (纸本)9781665455121

Improving technology in the field of education will greatly help teachers and students in various ways, one of which is attendance. An attendance system generally leaks security and verification which may lead to fraud activity. In this paper, the authors design an attendance system that utilizes multiple verifications using card tapping and face recognition which is also accompanied by an anti-video spoofing system. The designed system is implemented as a web application with various algorithms such as Convolutional Neural Network (CNN), and Deep Metric Learning (DML) along with the application of the PN532 sensor and the use of ESP8266 for tapping the card. Our experiments show that the proposed system performs well, achieving up to 87.50% system accuracy. © 2022 IEEE.

关键词： Face recognition

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Area Recognition Based on Grid Structure for Rice Paddy Monitoring Using Wireless Sensor Network 8

Area Recognition Based on Grid Structure for Rice Paddy Moni...

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8th International Conference on Information Technology, Information Systems and Electrical engineering, ICITISEE 2024

作者： Marpaung, Bambang Haryanto Nasution, Benny Benyamin Tulus Universitas Sumatera Utara Faculty of Computer Science and Information Technology Medan Indonesia Electronic Engineering at State Polytechnic of Medan Politeknik Negeri Medan Medan Indonesia

ISBN: (纸本)9798350368970

In the era of precision agriculture, effective and efficient monitoring of rice paddy fields is vital for optimizing crop yield and ensuring environmental sustainability. This study presents a novel approach utilizing a grid-structured Wireless Sensor Network (WSN) to monitor key environmental parameters such as soil moisture, temperature, and methane gas concentration. The novelty of this research lies in the detailed implementation of a grid-based sensor system that provides comprehensive coverage, enhanced data precision, and integration with artificial intelligence (AI) for predictive analysis. This system not only enables realtime monitoring but also generates actionable insights through a color-coded alert system that signals abnormal conditions such as excessive heat or harmful gas levels. The study demonstrates significant improvements in resource efficiency, including water management and reduced chemical usage, resulting in higher crop yields. The results highlight the potential for grid-based WSN systems to drive sustainable agriculture, offering precise interventions based on real-time environmental data. © 2024 IEEE.

关键词： Soil moisture

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