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Advanced Innovations in Smart Cities (ICAISC), international conference on

作者： Syeda Shakira Akter Md. Maruf Hossain Munna Kazi Redwan Mustakim Ahmed Md. Faruk Abdullah Al Sohan Department of Computer Science American International University- Bangladesh Dhaka Bangladesh

ISBN: (数字)9798331506995

ISBN: (纸本)9798331507008

The growing application of smart home technologies has exposed significant vulnerabilities in cybersecurity. This research proposes a lightweight, AI-powered Threat Detection System (TDS) aimed at improving the security of IoT devices in smart homes by combining Azure Cloud and Google big-Query for efficient data storage and processing. The proposed system implements firewalls and Transport Layer Security (TLS) encryption to secure communication channels and safeguard critical data from unauthorized access. The TDS utilizes Google bigQuery to analyze extensive IoT data for trained threat detection and mitigation decisions. Some necessary algorithms, such as Deep Q-Networks (DQN) and autoencoders-reinforce its functionality. DQN separates devices exhibiting atypical behavior, and autoencoders identify anomalies in device activity, network traffic, and access patterns. The technology quarantines the damaged device to avoid further damage, using safe data processing in Azure Cloud under strict encryption procedures. The TDS continually analyses data streams in real-time, instantly notifying administrators through a mobile application when abnormalities arise and autonomously upgrading security policies to address evolving threats. This research shows the essential function of cloud-based security solutions and artificial intelligence in safeguarding smart home ecosystems against evolving cyber threats.

关键词： Firewalls (computing) Autoencoders Smart homes Threat assessment Real-time systems Encryption Security Object recognition Internet of Things Artificial intelligence

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Face Recognition for big data Using Search Engine for Smart System 2nd

Face Recognition for Big Data Using Search Engine for Smart ...

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2nd international conference on Intelligent Systems and data Science, ISDS 2024

作者： Huu, Phat Nguyen Tung, Duong Nguyen Nam, Khanh Nguyen Hoang Minh, Quang Tran Hanoi Viet Nam British International School Ho Chi Minh City Viet Nam 268 Ly Thuong Kiet District 10 Ho Chi Minh City Viet Nam Linh Trung Ward Thu Duc District Ho Chi Minh City Viet Nam

ISBN: (纸本)9789819796151

In Vietnam, research and design activities related to recognition systems are making initial strides within universities. Previous scientific research and projects predominantly focused on areas like fingerprint recognition to support security systems. However, topics related to human-computer interaction through facial recognition have yet to be fully developed. This paper aims to elucidate various aspects of the SSD model, DeepFace, IrisNet, and FAISS, encompassing their operational principles and IoT applications in security technology through facial recognition for smart door locks. We perform to evaluate several famous models with existing algorithms. The results indicate that the system achieved nearly 93% accuracy for single faces with an execution time of 0.25 s for the Iris model. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Face recognition

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2nd international conference on Information Systems and Design, ICID 2021

2nd International Conference on Information Systems and Desi...

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2nd international conference on Information Systems and Design, ICID 2021

ISBN: (纸本)9783030954932

The proceedings contain 28 papers. The special focus in this conference is on Information Systems and Design. The topics include: Cyber Threat Risk Assessment in Energy Based on Cyber Situational Awareness Techniques;features of Creating and Maintaining a Corporate Culture for Remote Workers Within the Organization in the Digital Transformation Era;simulation Modelling for Assessing the Adequacy of Decision Support Models with Choosing a Product Offer;the Study of Fuzzy Quantifiers in Multi-criteria Decision-Making;the Dialectic Interrelation Between Digital Organization Architecture Elements;New Areas of Blockchain Technology Applications During the COVID-19 Pandemic;development of Special Software for Solving Large-Dimensional Transport Problems with a Modified Genetic Algorithm Using Multithreading Properties;Analysis of the Estimates Quality in the Problem of Parametric Identification of Distributed Dynamic Processes Based on a Modified OLS;scheduling with Genetic algorithms Based on Binary Matrix Encoding;challenges and Prospects for Cloud-Based Enterprise Systems in Tradition-Focused Cultures: A Design Thinking Case Study;software for Researching the Processes of Curing of Polymer Compositions Using Mathematical Modeling;an Intelligent Approach to Decentralized Control in the Agro-industrial Complex;methodical Approach for Impact Assessment of Energy Facilities on Environment;Disadvantages of Relational DBMS for big data Processing;development of an Application for data Structuring with the Possibility of Displaying 3D Models;key Concepts for Experience-Driven Innovation;Development of a Robot for Building a Map of the Area;towards to Extended Empathy Methods in Design Thinking;The Use of Virtual Reality to Drive Innovations. VRE-IP Experiment.

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Comparison of Complex Network Analysis Software:Citespace,SCI2 and Gephi 2

Comparison of Complex Network Analysis Software:Citespace,SC...

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2017 IEEE 2nd international conference on big data Analysis（ICBDA 2017）

作者： Jing Yang Changxiu Cheng Shi Shen Shanli Yang Key Laboratory of Environmental Change and Natural Disaster State Key Laboratory of Earth Surface Processes and Resource Ecology Academy of Disaster Reduction and Emergency Management Beijing Normal University Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Science

ISBN: (纸本)9781509036202

big data Analysis（BDA） has attracted considerable interest and curiosity from scientists of various fields *** big size and complexity of big data,it is pivotal to uncover hidden patterns,bursts of activity,correlations and laws of *** network analysis could be effective method for this purpose,because of its powerful data organization and visualization *** the general complex software（Gephi）,some bibliometrics software（Citespace and SCI） could also be used for this analysis,due to their powerful data process and visualization *** paper presents a comparison of Citespace,SCI and Gephi from the following three aspects:（1） data *** is timeconsuming and laborious on merging *** is efficient and suitable for massive *** of them could remove duplicate ***,Gephi lacks these.（2） Network *** pays more attention on temporal analysis,but SCI and Gephi pay less attention on ***,Citespace and SCI could provide pruning algorithms highlight the main structure of social network,but Gephi lacks this.（3） *** Citespace,co-occurrence network could present time,frequency and betweenness centrality simultaneously;cluster view could label the clusters with ***,SCI and Gephi provide more various layout algorithms to present ***,they have a better edit-ability than Citespace on generated network.

关键词： big data analysis Citesapce SCI2 Gephi

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Extract Domain Terminologies for Knowledge Graph Construction Using Domain Feature Vectors 2

Extract Domain Terminologies for Knowledge Graph Constructio...

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2017 IEEE 2nd international conference on big data Analysis（ICBDA 2017）

作者： Zhiwei Luo Haoyuan Wang Rong Xie School of Automation Huazhong University of Science and Technology International School of Software Wuhan University

ISBN: (纸本)9781509036202

Domain terminology recognition and extraction is the primary work for construction of domain knowledge *** method is tedious,and time-consuming,as well as low *** paper presents an automatic domain feature extraction method based on the Domain Feature Vectors(DFVs).Experimental results demonstrate that our approach is effectiveness and accuracy.

关键词： domain term extraction knowledge graph Domain Feature Vector(DFV) data processing feature extraction

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Research on real-time path planning and obstacle avoiding for mobile robot swarms based on an advanced artificial potential field method 2

Research on real-time path planning and obstacle avoiding fo...

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2nd IEEE international conference on Electrical Engineering, big data and algorithms, EEBDA 2023

作者： Bao, Binglong Beijing University of Chemical Technology College of International Education Beijing100020 China

ISBN: (纸本)9781665462532

Unmanned mobile robots have broad application prospects in space exploration. In order to meet the increasing technical requirements, it is of great practical significance to study robot cluster work, path planning, and obstacle avoidance. A method is proposed in this paper to achieve the functions mentioned above built on an improved artificial potential field (APF). By introducing a dynamic attractive factor based on the number of obstacles and setting different goal point information for leader and follower robots, obstacle avoidance navigation and cooperative following function can be achieved under the force of the potential field. Finally, using webots to build an environment and robots for simulation. The results and planned path map testify to the feasibility and effectiveness of this method. © 2023 IEEE.

关键词： Motion planning

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IT development, big data and quantitative management: Preface for ITQM 2014

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Procedia Computer Science 2014年 31卷 1-4页

作者： Aleskerov, Fuad Shi, Yong Lepskiy, Alexander Higher School of Economics 20 Myasnitskaya Str. Moscow 101000 Russia Research Center on Fictitiotus Economy and Data Science Chinese Academy of Sciences Beijing 100190 China College of Information Science and Technology University of Nebraska at Omaha Omaha NE 68182 United States

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The AlexNet, LeNet-5 and VGG NET applied to CIFAR-10 2

The AlexNet, LeNet-5 and VGG NET applied to CIFAR-10

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2nd international conference on big data and Artificial Intelligence and Software Engineering (ICBASE)

作者： Zhang, Xinche Univ Dalhousie Halifax NS B3H 4R2 Canada

ISBN: (纸本)9781665427098

The problem this work trying to solve is applying AlexNet, LeNet-5 and VGG Net to the CIF AR-10 database and tell the features and performance of these structures. Multiple strategies of training have been tested, they are respectively AlexNet, LeNet5, VGG Net. These neural network algorithms are famous since they have achieved high accuracy in competitions. Although they are not designed for training CIFAR-10, it is worth to exploit that whether such an excellent model compatible to different input. Therefore, they will modified and tested the performance on CIFAR-10.

关键词： AlexNet LeNet-5 VGG Net CIFAR-10 database compatibility

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Analysis and evaluation of credit risk in supply chain finance under the background of big data 2

Analysis and evaluation of credit risk in supply chain finan...

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2022 2nd international conference on Artificial Intelligence, big data and algorithms, CAIBDA 2022

作者： Xie, Wantong Li, Yuanming International Business College Dongbei University of Finance and Economics Liaoning province Dalian China

ISBN: (纸本)9783800760268

In the field of supply chain finance, small and medium-sized enterprises generally have financing difficulties, which are often caused by the difficulty of financing institutions to clearly define their financial credit risks. This paper analyzes the source of credit risk of SMEs under the supply chain financing model, determines the evaluation index system, and establishes a credit risk evaluation model for SMEs through principal component analysis and Logistic regression. The accuracy of the model is tested, and it is determined that the credit risk of SMEs mainly comes from their own situation, and provides suggestions for banks and SMEs to improve the credit rating of SMEs. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Risk assessment

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Test Report of Power System Stabilizer (PSS) of the 2nd unit in a Certain Thermal Power Plant 2

Test Report of Power System Stabilizer (PSS) of the 2nd unit...

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2nd IEEE international conference on Electrical Engineering, big data and algorithms, EEBDA 2023

作者： Wang, Tiankuo Huang, Jia Yu, Longfei Wei, Qing Wang, Diyang Zhang, Ping Huadian Electric Power Research Institute Co. Ltd Hangzhou China

ISBN: (纸本)9781665462532

The No. 2 generator of a thermal power plant is a 25MW extraction generator produced by Nanjing Turbomotor (Group) Co., LTD. The excitation regulator of this unit uses DVR-2000B digital excitation regulator provided by Nanjing Turbomotor (Group) Co., LTD. This report describes the parameter selection and field test results of the power system stabilizer (PSS) of the unit, and determines the operating parameters of the PSS according to the test results. © 2023 IEEE.

关键词： Energy transfer

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