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检索条件"主题词=Software Algorithms"

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Lightweight Cryptography algorithms for IoT Devices: Open issues and challenges

Lightweight Cryptography Algorithms for IoT Devices: Open is...

引用

International Conference on Information Science and Communications Technologies (ICISCT)

作者： Salim Ganiev Zarif Khudoykulov Tashkent University of Information Technologies Tashkent Uzbekistan

ISBN: (纸本)9781665432597

IoT have become popular in recent years with it's widespread use in a variety of environments. In this system, the data collected from the sensors is transmitted over a network. In this case, reliable network protection mechanisms are required. This article presents the open issues and problems that exist in the design and implementation of LWC (Lightweight Cryptography) algorithms that serve to ensure security in IoT systems. In addition, the tools used in the implementation of LWC algorithms in different environments, the results of the implementation of existing LWC algorithms in the software and hardware environment are given detailed.

关键词： Information science software algorithms Information security software Hardware Sensor systems Communications technology

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5G PBCH Reliability Estimation

5G PBCH Reliability Estimation

引用

Annual Siberian Russian Workshop on Electron Devices and Materials (EDM)

作者： Vera G. Drozdova Siberian State University of Telecommunication and Informatic Sciences (SibSUTIS) Novosibirsk Russia

This article is aimed to investigate the reliability of the Physical Broadcast Channel transmission in 5G radio network. 5G is the New Radio and the latest mobile networks evolution step. It is intended to achieve extremely high data rates and very low latency on its air interface together with high user density. The PBCH is the first channel in 5G which is decoded by user equipment to get information about availability of the cell and other system information blocks configuration. The software for the PBCH transmitter and receiver is developed to reflect the procedures responsible for providing the robust data transmission on that channel and their effect on the reliability such as bit and sub-block interleaving, polar coding and rate matching. The characteristic of block error rate versus bit error rate is derived and analyzed. It shows the BLER via the number of incorrect bits in the PBCH transport block.

关键词： 5G mobile communication software algorithms Radio transmitters Receivers Forward error correction New Radio software

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Graph Kernel Based Clusterhead Selection Algorithm in Internet of Things

Graph Kernel Based Clusterhead Selection Algorithm in Intern...

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Computer, Control and Robotics (ICCCR), International Conference on

作者： Hongwei Luo Wanyi Feng Baolin Sun Ying Song Wuhan International Trade University Wuhan 430205 China Hubei University of Economics Wuhan 430205 China

ISBN: (数字)9781728190358

ISBN: (纸本)9781728190365

The Internet of Things (IoT) is easy to deploy, dynamic and applicable, and has attracted extensive attention from researchers. Clustering is one of the effective methods to measure the performance of IoT with different attributes. In this paper, we propose a Graph Kernel based Clusterhead selection Algorithm in IoT (GKCA). The key idea of GKCA algorithm is to find the clustering scheme in the process of cluster head selection mechanism. The performance of GKCA algorithm, such as average end-to-end delay, packet delivery ratio, was experimentally studied by using network simulation (NS2) software. Experiments show that the GKCA has a good performance advantage in dynamic IoT.

关键词： Heuristic algorithms software algorithms Clustering algorithms Robot sensing systems software Internet of Things Kernel

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Study of Orthonormal Functions Based on Chebyshev-Hermite Polynomials for Spectral Models of Dynamical Systems

Study of Orthonormal Functions Based on Chebyshev-Hermite Po...

引用

International Conference on ent Computing and Control Systems (ICICCS)

作者： Vadim Petrov National University of Science & Technology (MISIS) Moscow Russian Federation

ISBN: (纸本)9781665412728;9781665448345

Description of the dynamic characteristics of linear dynamical systems or objects is a topical problem. Among the methods for describing dynamic characteristics, a special place is occupied by methods based on the description of impulse response functions (IRF). The paper proposes to use spectral methods of modeling IRFs based on the Fourier transform in the basis of orthonormal functions. The paper solves the problem of step-by-step synthesis of generalized orthonormal functions based on Chebyshev-Hermite polynomials for the synthesis of IRF spectral models. In the paper, on the basis of the Chebyshev-Hermite polynomials, a system of transformed generalized orthonormal Chebyshev-Hermite functions is synthesized that allows describing IRFs obtained analytically or experimentally. To assess the reliability of the IRF model, the square of the normalized variance of the IRF spectral model is used.

关键词： Training Analytical models Heuristic algorithms Computational modeling software algorithms Chebyshev approximation Tools

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Algorithm for on-line calendar text generation in public transport

Algorithm for on-line calendar text generation in public tra...

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International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： Jaromír Šulc Kateřina Šulcová Faculty of Transport Engineering University of Pardubice Czech republic

ISBN: (数字)9781728180533

ISBN: (纸本)9781728180540

This article describes heuristic algorithm generating calendar text for various stop timetables and for usage of third parties, i. e. governments, companies, vehicle computers, clearing centers etc. For convenience and better user experience, the calendar text does not usually contain simple list of days, but rather variations of shorter and more meaningful texts relevant to human understanding of time intervals. The goal of the algorithm is on-line distribution of trips into all published symbols (for example the pair of symbols: workdays, weekends), and conversion of differences between trips validity and each symbol validity into a short readable text. The algorithm is using standard and user defined symbols. For the given published symbol, we find for each trip the minimal number of subintervals with similar pattern. For each subinterval, we generate calendar text with positive and negative meaning and we publish the shorter one. The algorithm was developed and tested on timetables data of several Czech cities, and currently is implemented within a software for timetabling and within several public information systems of Czech transport companies.

关键词： Heuristic algorithms software algorithms Urban areas Companies User experience software Standards

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Development of AUV for SAUVC During COVID-19

Development of AUV for SAUVC During COVID-19

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OCEANS

作者： Mayank Navneet Mehta Subash Mylraj Vishva Nilesh Bhate IIITDM Kancheepuram Chennai India

ISBN: (纸本)9781665427883

This paper describes the design, implementation, and testing of control and vision algorithms for an AUV in virtual and real environments. Hardware design and the software stack of the vec6 underwater vehicle are described in this paper. The paper also presents a simulation test-bed, the uwv-simulator, which is developed using ROS and Gazebo. A custom arena similar to that used in the Singapore AUV Challenge is constructed in the simulation environment. One of the main motivations to develop the open-source simulation test-bed is to provide easy integration and testing of different cases and algorithms for autonomy. The software stack is designed to execute higher and abstract algorithms without the trouble of going through the lower-level functions.

关键词： Knowledge engineering COVID-19 Operating systems Oceans software algorithms Virtual environments Hardware

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Verification method of topological relationship of low voltage distribution equipment based on KNN and Pearson correlation coefficient

Verification method of topological relationship of low volta...

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International Conference on Power System Technology (POWERCON)

作者： Qiangwei Gao Bin Han Xu Huang Pan Zhang Jiaheng Liu Leijiao Ge Chengdong Power Supply Branch State Grid Tianjin Electric Power Company Tianjin China Electric Power Research Institute State Grid Tianjin Electric Power Company Tianjin China School of Electrical and Information Engineering Tianjin University Tianjin China

ISBN: (纸本)9781665407380

Due to the characteristics of multiple points, complex users, and frequent changes, the topological relationship of the low-voltage distribution network is often in an inaccurate stage. The relationship between the inaccuracy of file information and the changes of registered permanent residence is the main problem to be solved. Therefore, based on the machine identification information, this paper studies the verification technology of the relationship between the three remotes data of distribution equipment and topological links. Firstly, the Pearson correlation coefficient and neighborhood algorithm are used to verify the topology of the low voltage distribution network. Secondly, this paper combines K-Nearest Neighbor (KNN) clustering and K-means to analyze the training sample set to obtain the best matching combination. Finally, the station area to be verified is selected. Based on the verification principle of the household-transformer relationship, the Pearson correlation coefficient is used to calculate the voltage data of the smart meter of users. The experimental results show that this method can improve the computational efficiency of the process, get the correct classification results, classify users in the overlapping area, and implement a topology check.

关键词： Correlation coefficient Training Low voltage Network topology software algorithms Power distribution Systems architecture

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On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods

On Assessing The Safety of Reinforcement Learning algorithms...

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IEEE International Conference on software Quality, Reliability and Security (QRS)

作者： Paulina Stevia Nouwou Mindom Amin Nikanjam Foutse Khomh John Mullins SWAT Lab. Polytechnique Montréal Montréal Canada

ISBN: (纸本)9781665458146

The increasing adoption of Reinforcement Learning in safety-critical systems domains such as autonomous vehicles, health, and aviation raises the need for ensuring their safety. Existing safety mechanisms such as adversarial training, adversarial detection, and robust learning are not always adapted to all disturbances in which the agent is deployed. Those disturbances include moving adversaries whose behavior can be unpredictable by the agent, and as a matter of fact harmful to its learning. Ensuring the safety of critical systems also requires methods that give formal guarantees on the behaviour of the agent evolving in a perturbed environment. It is therefore necessary to propose new solutions adapted to the learning challenges faced by the agent. In this paper, first we generate adversarial agents that exhibit flaws in the agent's policy by presenting moving adversaries. Secondly, We use reward shaping and a modified Q-learning algorithm as defense mechanisms to improve the agent's policy when facing adversarial perturbations. Finally, probabilistic model checking is employed to evaluate the effectiveness of both mechanisms. We have conducted experiments on a discrete grid world with a single agent facing non-learning and learning adversaries. Our results show a diminution in the number of collisions between the agent and the adversaries. Probabilistic model checking provides lower and upper probabilistic bounds regarding the agent's safety in the adversarial environment.

关键词： Training Q-learning Perturbation methods software algorithms software quality Model checking Probabilistic logic

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Multi-Features Classification of SMD Screen in Smart Cities using Randomised Machine Learning algorithms

Multi-Features Classification of SMD Screen in Smart Cities ...

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International Informatics and software Engineering Conference (UBMYK)

作者： Muhammad Imran Ghafoor Muhammad Sohaib Roomi Mubashar Aqeel Umaiz Sadiq Sibghat Ullah Bazai MNK Digital Department of Digital MediaLahorePakistan Superior University Lahore Pakistan BUITEMS Department of Computer EngineeringQuettaPakistan

ISBN: (纸本)9781665407601

Urban informatization applications are getting better and better, and smart cities are now taking shape because of the emergence of the Internet of Things (IoT), cloud computing, mobile Internet, and other new technologies. Smart cities allow information about a city's economic viability and culture to be shared and transmitted more rapidly. There is an increase in interconnection and communication using this method. People's living standards will rise because of the government's increased management and service capabilities. As smart cities become more common, new data sources, such as user behavior, preferences, and other insights, will be developed. A lot of data mining and analysis will be required. Urban informatization and industrialization will be achieved by implementing new information technology into a wide range of industries around the city. Efficiencies in urban management and the quality of life for residents will be enhanced by this reform. Many parts of city planning might be called “smart,” including transportation, health care, public safety, and education. Machine learning methods are being used to detect abnormalities in SMD Screen data, which includes information on all networking protocols. SMD LEDs used in LED displays are the subject of this research, which focuses on the most common causes of failure. When it comes to SMD LEDs' wet stress, antistatic capabilities, and hidden circuitry defects, we thoroughly inspect them. Following this research, we offer practical preventive solutions based on machine learning categorization models.

关键词： Smart cities software algorithms Urban planning Light emitting diodes Prediction algorithms Boosting Internet of Things

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Fuzzy Adaptive PI Clock Synchronization Algorithm Based on Kalman Filter

Fuzzy Adaptive PI Clock Synchronization Algorithm Based on K...

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Information Communication and software Engineering (ICICSE), IEEE International Conference on

作者： Xiaohan Wei Xingzhong Xiong Zhongqiang Luo Jianwu Wang Kaixing Cheng Automation and Information Engineering Sichuan University of Science and Engineering Artificial Intelligence Key Laboratory of Sichuan Province Yibin China

ISBN: (纸本)9781665430302

A clock synchronization algorithm combining Kalman filter and fuzzy adaptive PI (proportional-integral) is proposed in this paper. Because of the system clock synchronization error caused by the delay jitter of the protocol stack and the CPU interrupt processing delay in the distributed network system. This algorithm uses Kalman filter to obtain the estimated value of clock offset and compensates the offset by introducing an adaptive fuzzy PI controller. While effectively filtering noise, it also improves the response speed of the slave clock and realizes the master-slave high precision and fast synchronization of the clock.

关键词： Adaptive systems PI control software algorithms Filtering algorithms Information filters Delays Synchronization

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