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检索条件"丛书名=Advances in Intelligent Systems and Computing"

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5G Cybersecurity Based on the Blockchain Random Neural Network in intelligent Buildings 19th

5G Cybersecurity Based on the Blockchain Random Neural Netwo...

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19th Annual UK Workshop on Computational Intelligence (UKCI)

作者： Serrano, Will Alumni Imperial Coll London Elect & Elect Engn Intelligent Syst & Networks Grp London England

ISBN: (纸本)9783030299330;9783030299323

5G promises much faster Internet transmission rates at minimum latencies with indoor and outdoor coverage;5G potentially could replace traditional Wi-Fi for network connectivity and Bluetooth technology for geolocation with a seamless radio coverage and network backbone that will accelerate new services such as the Internet of Things (IoT). New infrastructure applications will depend on 5G as a mobile Internet service provider therefore eliminating the need to deploy additional private network infrastructure or mobile networks to connect devices;however, this will increase cybersecurity risks as radio networks and mobile access channels will be shared between independent services. To address this issue, this paper presents a digital channel authentication method based on the Blockchain Random Neural Network to increase Cybersecurity against rogue 5G nodes;in addition, the proposed solution is applied to Physical Infrastructure: an intelligent Building. The validation results demonstrate that the addition of the Blockchain Neural Network provides a cybersecure channel access control algorithm that identifies 5G rogue nodes where 5G node identities are kept cryptographic and decentralized.

关键词： Neural network intelligent buildings Blockchain Cybersecurity 5G Access credentials Smart infrastructure

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Study of the Chinese-English Translation of Computer Network Terms

Study of the Chinese-English Translation of Computer Network...

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International Conference on Cyber Security Intelligence and Analytics (CSIA)

作者： Zhu, Fenfen Guangxi Univ Sci & Technol Lushan Coll Liuzhou 545006 Guangxi Peoples R China

ISBN: (纸本)9783030152352;9783030152345

With the continuous development of the computer science, the computer network terms play an increasingly important role in the understanding of computer English. This paper makes a general study of the Chinese translation of the English computer network terms by analyzing the characteristics of the computer network terms, the comparison of the English and Chinese word-formation, and the translation principles and methods and so on. Although the history of the computer development is short, it has a wide range of applications. The computer terminology has its own characteristics. The computer network terms produce a large number of the new words through infiltration, derivation and transformation, which is a significant feature of it.

关键词： Computer Network terminology English translation Language environment Cultural connotation

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Scheduling Synchronous Tutoring Sessions in Learning Activities 21st

Scheduling Synchronous Tutoring Sessions in Learning Activit...

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21st International Conference on Interactive Collaborative Learning (ICL) / 47th IGIP International Conference on Engineering Pedagogy - Teaching and Learning in a Digital World

作者： Gueye, Amadou Dahirou Faye, Pape Mamadou Djidiack Gueye, Bounama Lishou, Claude Alioune Diop Univ Bambey Senegal Virtual Univ Dakar Senegal Cheikh Anta Diop Univ Dakar Senegal

ISBN: (纸本)9783030119324;9783030119317

This paper deals with a solution allowing digital universities or distance learning structures to extend the functionalities of their distance learning platform to improve not only the management of course session activities but also the organization and synchronous scheduling of these sessions. Indeed, the major problem that is often encountered at the level of distance learning platforms is the management of course hours. This paper proposes a solution for the FOAD Moodle platform to develop a plugin offering teachers the possibility to dynamically choose their course availability and learners the possibility to visualize in real time the week's schedules. The developed plugin is integrated as a new educational resource into the Moodle platform to extend its functionality. This plugin which constitutes the originality of this paper bears the name of Planning.

关键词： Distance learning platform Synchronous programming Plugin development Planning

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Methods to Improve Ranking Chemical Structures in Ligand-Based Virtual Screening 4th

Methods to Improve Ranking Chemical Structures in Ligand-Bas...

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4th International Conference of Reliable Information and Communication Technology (IRICT)

作者： Al-Dabbagh, Mohammed Mumtaz Salim, Naomie Saeed, Faisal Tishk Int Univ Erbil Iraq Univ Teknol Malaysia Skudia Malaysia Taibah Univ Coll Comp Sci & Engn Medina Saudi Arabia

ISBN: (纸本)9783030335823;9783030335816

One of the main tasks in chemoinformatics is searching for active chemical compounds in screening databases. The chemical databases can contain thousands or millions of chemical structures for screening. Therefore, there is an increasing need for computational methods that can help alleviate some challenges for saving time and cost in drug discover design. The ranking of chemical compounds can be accomplished according to their chances of clinical success by the computational tools. In this paper, the techniques that have been used to improve the ranking of chemical structures in similarity searching methods have been highlighted through two categories. Firstly, the taxonomy of using machine learning techniques in ranking chemical structures have been introduced. Secondly, we have discussed the alternative chemical ranking approaches that can be used instead of classical ranking criteria to enhance the performance of similarity searching methods.

关键词： Molecular ranking Marching learning techniques Ranking chemical compounds Ligand-based Virtual screening Alternative ranking techniques

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Air Pollution Source Identification by Using Neural Network with Bayesian Optimization 13th

Air Pollution Source Identification by Using Neural Network ...

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13th International Conference on Innovative Mobile and Internet Services in Ubiquitous computing (IMIS)

作者： Leu, Fang-Yie Ho, Jia-Sheng Tunghai Univ Dept Comp Sci Taichung Taiwan

ISBN: (纸本)9783030222635;9783030222628

To accurately locate pollution sources, in this research, we first create an air-pollution identification system, called Air Pollution Source Identification System (APSIS), which adopts tensorflow to establish three neural-network based analytical models with which to find the sources of air pollution. The APSIS collects environmental data in a relatively smaller grid area. Next, collected data are tuned when necessary to prevent the APSIS built by collected data from being seriously affected by outlier and other unstable factors, like wind direction. The purpose is to identify possible distribution of pollution and then more accurately find out the sources. After that, the APSIS is applied to identify the sources of air pollution in a wide area. Source identification accuracies of these neural networks are compared with other air diffusion models, aiming to develop one which is suitable for identifying the air pollution sources.

关键词： Air pollution Source identification Diffusion model Tensorflow Artificial neural network

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GPU computing for Compute-Intensive Scientific Calculation 8th

GPU Computing for Compute-Intensive Scientific Calculation

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8th International Conference on Soft computing for Problem Solving (SocProS)

作者： Dubey, Sandhya Parasnath Kumar, M. Sathish Balaji, S. Manipal Acad Higher Educ Manipal Inst Technol Dept Comp Applicat Manipal 576104 India Manipal Acad Higher Educ Manipal Inst Technol Dept Elect & Commun Manipal 576104 India Manipal Acad Higher Educ Manipal Inst Technol Dept Biotechnol Manipal 576104 India

ISBN: (纸本)9789811501845;9789811501838

GPU has emerged as a platform that off-loads computation intensive work from CPU and performs numerical computations in less time. One such mathematical operation is matrix multiplication. Matrix is one of the fundamental mathematical objects used in the scientific calculation, with applicability in various fields such as computer graphics, analysis of electrical circuits, computer networks, DNA sequence comparison, protein structure prediction, etc. This work presents a comparative analysis of scalar matrix multiplication in three modes, namely: (i) sequential programming in C language (ii) parallel implementations using OpenCL, and (iii) MPI. The testbed comprises of input matrices ranging from small size of 100 x 100 to a higher size of 12,800 x 12,800. We observe that parallel execution in OpenCL outperforms MPI and sequential C for higher dimensional matrices. In contrast, sequential C outperforms both MPI and OpenCL for small dimension matrices. Besides, we analyze that OpenCL program has attained a speedup of 9x. Therefore, we conclude that parallel execution of code is more efficient for data of computationally large sizes and hence provides a potentially useful solution to address NP-complete problems.

关键词： HPC GPU Matrix multiplication OpenCL MPI

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STEAM Gamification Learning Model to Enhance Vocational Students' Creativity and Innovation Skills 2nd

STEAM Gamification Learning Model to Enhance Vocational Stud...

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22nd International Conference on Interactive Collaborative Learning (ICL) / 48th IGIP International Conference on Engineering Pedagogy - Impact of the 4th Industrial Revolution on Engineering Education

作者： Kummanee, Jiraphorn Nilsook, Prachyanun Piriyasurawong, Pallop Wannapiroon, Panita King Mongkuts Univ Technol North Bangkok Div Informat & Commun Technol Educ Bangkok Thailand King Mongkuts Univ Technol North Bangkok Fac Tech Educ Bangkok Thailand

ISBN: (纸本)9783030402716;9783030402709

This research purposed to (1) to design STEAM Gamification Learning Model to Enhance Vocational Students' Creativity and Innovation Skills (2) to evaluate the appropriateness of STEAM Gamification Learning Model to Enhance Vocational Students' Creativity and Innovation Skills. The result found that: STEAM Gamification Learning Model had 4 elements categorize as follows (1) Input: 1.1 Creative activity plan, 1.2 Learning objectives, 1.3 Students, 1.4 Teacher and 1.5 Classcraft programs, (2) learning processes: 2.1 Defining problems 2.2 Designing processes of solving problem using Mathematics and Technology 2.3 Creating the instruments and using projects to solve problems 2.4 Testing, transferring and improving methods to problem solving 2.5 Presenting works and solving problems, (3) Evaluation: the instruments which were used in the evaluation process 3.1 Questionnaire of creativity from the questionnaire in (TCT-DP) standard 3.2 Questionnaire of creative innovation skills and (4) Giving feedback: were shown as the students who possessed creativity and creative innovation skills. The appropriateness result of STEAM Gamification Learning Model to Enhance Vocational Students' Creativity and Innovation Skills, which was evaluated by five experts found that: the STEAM Gamification Learning Model for Vocational Students' Creativity and Innovation Skills of appropriateness was regarded as "excellent" in terms of the ratings. The expectation of the application was to apply STEAM Gamification Learning Model to enhance vocational students' creativity and innovation skills.

关键词： STEAM education Gamification Creative innovation skills Vocational students

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An Elliptic Curve Cryptography-Based Multi-Server Authentication Scheme Using Cancelable Biometrics 1

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3rd International Conference on intelligent computing and Communication (ICICC)

作者： Barman, Subhas Chaudhuri, Abhisek Chatterjee, Atanu Raza, Md Ramiz Jalpaiguri Govt Engn Coll Jalpaiguri India

ISBN: (数字)9789811510847

ISBN: (纸本)9789811510847;9789811510830

Authentication is a very important element in any secure cryptographic mechanism. For secure authentication between two parties in an open network, various schemes have been proposed. Previously many of them involved communication between clients and a single server and biometrics were not used. Later, to increase the level of security, three-factor authentication schemes involving passwords, biometrics, and smart cards were introduced for secure communication in amulti-server environment. But, majority of these schemes do not provide facility for biometrics update phase. Additionally, these existing schemes are vulnerable to different forms of adverse attacks. Athree-factor-based authentication scheme in amulti-server environment using Elliptic Curve Cryptography (ECC) has been introduced in our paper to remove these kinds of security flaws. In order to prove the validity of the secrecy provided in the proposed scheme, the widely accepted ProVerif tool has been used. We have also discussed informal security analysis of the proposed scheme. Finally, the proposed scheme is compared with existing related schemes based on different performance and security parameters.

关键词： Authentication Multi-server ECC ProVerif

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Vehicle Detection Using Point Cloud and 3D LIDAR Sensor to Draw 3D Bounding Box 3rd

Vehicle Detection Using Point Cloud and 3D LIDAR Sensor to D...

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International Conference on Computational Vision and Bio-Inspired computing (ICCVBIC)

作者： Gagana, H. S. Sunitha, N. R. Nishanth, K. N. SIT Dept CSE Tumkur India KPIT Technol Solut Architect Bengaluru India

ISBN: (纸本)9783030372187;9783030372170

In recent times, Autonomous driving functionalities is being developed by car manufacturers and is revolutionizing the automotive industries. Hybrid cars are prepared with a wide range of sensors such as ultrasound, LiDAR, camera, and radar. The results of these sensors are integrated in order to avoid collisions. To achieve accurate results a high structured point cloud surroundings can be used to estimate the scale and position. A point cloud is a set of Data points used to represent the 3D dimension in X, Y, Z direction. Point cloud divides data points into clusters that are processed in a pipeline. These clusters are collected to create a training set for object detection. In this paper, the cluster of vehicle objects and other objects are extracted and a supervised neural network is trained with the extracted objects for the binary classification of the objects representing vehicles or other objects. By learning global features and local features the vehicle objects represented in the point cloud are detected. These detected objects are fitted with a 3D bounding box to represent as a car object.

关键词： Autonomous drive 3D LiDAR Vehicle detection 3D bounding box Point cloud

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Network Intrusion Detection System Using Random Forest and Decision Tree Machine Learning Techniques 1st

Network Intrusion Detection System Using Random Forest and D...

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1st International Conference on Sustainable Technologies for Computational Intelligence (ICTSCI)

作者： Bhavani, T. Tulasi Rao, M. Kameswara Reddy, A. Manohar KL Deemed Be Univ Vaddeswaram 522502 Andhra Pradesh India

ISBN: (纸本)9789811500299;9789811500282

In the network communications, network interruption is the most vital concern these days. The expanding event of the system assaults is a staggering issue for system administrations. Different research works are now directed to locate a successful and productive answer for forestall interruption in the system so as to guarantee to arrange security and protection. Machine learning is a successful investigation device to identify any irregular occasions happened in the system traffic stream. In this paper, a mix of the decision tree and random forest algorithms is proposed to order any strange conduct in the system traffic.

关键词： Machine learning Random forest Decision tree

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