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Hybrid Rule and Neural Network Based Framework for Ubiquitous Computing

Andrey V. Gavrilov
2008 2008 Fourth International Conference on Networked Computing and Advanced Information Management  
One of most perspective techniques for sensing in ubiquitous computing systems is neural networks. But for a prior knowledge representation it is most appropriate to employ rule based techniques.  ...  So usage of hybrid intelligent systems based on combination of neural networks and rule based techniques seems perspective for development of smart environment.  ...  Conclusions In this paper a framework for implementation of AI in smart environment is proposed based on hybridization of rule based systems for decision making and monitoring and neural networks for sensing  ... 
doi:10.1109/ncm.2008.129 dblp:conf/ncm/Gavrilov08 fatcat:fivwadoejjh3tavfkmg4jsazsq

Computer Aided Development of Fuzzy, Neural and Neuro-Fuzzy Systems

Priti Srinivas Sajja
2017 International Journal of Engineering and Applied Computer Science  
The reusable component libraries for fuzzy logic based systems, neural network based system and hybrid system such as neuro-fuzzy system are developed and accommodated in this framework.  ...  The paper illustrates a design of a reusable generic framework to support friendly development of fuzzy, neural network and hybrid systems such as neuro-fuzzy system.  ...  Artificial Neural Network (ANN) An Artificial Neural Network (ANN) is an interconnected group of artificial neurons that uses a computational model for processing information based on a connectionist approach  ... 
doi:10.24032/ijeacs/0201/02 fatcat:beqv77idhfdtphcj6tpvrgd2i4

Ubiquitous Computing Frameworks and Location Sensing Technologies: A Survey

Swetha K., G. C.
2018 International Journal of Computer Applications  
Ubiquitous computing framework provides a structure and set of libraries to design and develop customized ubiquitous computing applications.  ...  Ubiquitous computing (ubicomp) supports a widely networked infrastructure of a multitude of sensing and computing devices.  ...  Hybrid Rule and Neural Network Based Framework for Ubiquitous Computing [18] Stand Alone and Loosely Coupled Model A context-aware framework supporting complex ubiquitous scenarios with Augmented  ... 
doi:10.5120/ijca2018918169 fatcat:iki35jjxgra2dkx43zsnmtgnku

Special issue on pervasive and ubiquitous solutions for cultural enrichment

Wei Wei, Jinsong Wu, Chunsheng Zhu
2019 Personal and Ubiquitous Computing  
of data mining is analyzed, and a sport culture industry growth prediction model based on genetic neural network is proposed.  ...  on recent and research the looks at pervasive and ubiquitous solutions for cultural enhancement.  ...  Pers Ubiquit Comput (2020) 24:1-4  ... 
doi:10.1007/s00779-019-01349-3 fatcat:wroducbrgnes3h2c3kgvxp72uu

Agent-Oriented Architecture for Ubiquitous Computing in Smart Hyperspace

Yichao JIN, Ruchuan WANG, Haiping HUANG, Lijuan SUN
2010 Wireless Sensor Network  
Agent-oriented approach is increasingly showing its magic power in a diversity of fields, specifically, ubiquitous computing and smart environment.  ...  Intelligence capable of obtaining context, computing, and providing services to users.  ...  tune the neural networks.  ... 
doi:10.4236/wsn.2010.21011 fatcat:te6yh22a25atxeadzzah4qnpda

Introductory Chapter: Machine Learning in Misuse and Anomaly Detection [chapter]

Jaydip Sen, Sidra Mehtab
2020 Computer and Network Security  
Introduction Over the last 30 years, ubiquitous and networked computing has increasingly gained importance in our life.  ...  Characterizing network traffic by means of the NetMine framework. Computer Networks. 2009;53(6):774-789. DOI: 10.1016/j.comnet.2008.12.011 [14] Mannila H, Toivonen H.  ... 
doi:10.5772/intechopen.92168 fatcat:5o732urffzhyvemuqr3d6q4vxy

Soft computing for security services in smart and ubiquitous environments

Marek R. Ogiela, Aniello Castiglione, Ilsun You
2014 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
Describing the extremely wide-ranging and interesting problems from the intelligent, secure and smart ubiquitous computing areas, we have decided to publish a Special Issue on "Soft Computing for Security  ...  technology and security services in ubiquitous computing.  ...  solutions dedicated for distributed ubiquitous computing and communication.  ... 
doi:10.1007/s00500-014-1380-z fatcat:qkxxzxlvqrfvxob6mlqkqy3shm

Deep Learning Network Anomaly-Based Intrusion Detection Ensemble For Predictive Intelligence To Curb Malicious Connections: An Empirical Evidence

2021 International Journal of Advanced Trends in Computer Science and Engineering  
We thus, propose hybrid Genetic Algorithm trained Modular Neural Network to detect network anomaly cum malicious packets. GA was used due to its flexibility cum elitist mode.  ...  MNN is used as a learning paradigm for modular learning components. Model validation return a confusion matrix with these values: TP = 50, TN = 2, FN = 5, FP = 3.  ...  Neural Network framework.  ... 
doi:10.30534/ijatcse/2021/851032021 fatcat:hstnnuc5s5cinjvxbodp33bcdq

Trustworthy Intrusion Detection in E-Healthcare Systems

Faiza Akram, Dongsheng Liu, Peibiao Zhao, Natalia Kryvinska, Sidra Abbas, Muhammad Rizwan
2021 Frontiers in Public Health  
IoT-net is a massive technology with security threats on the network layer, as it is considered the most common source for communication and data storage platforms.  ...  The practical implementation of the ANFIS model on the MATLAB framework with testing and training results compares the accuracy rate from the previous research in security.  ...  A hybrid framework for security in cloud computing based on different algorithms. Int J Netw Secur . (2020) 22:638–44. PubMed Abstract | Google Scholar 39. Viswanath G, Krishna PV.  ... 
doi:10.3389/fpubh.2021.788347 pmid:34926397 pmcid:PMC8678532 fatcat:4iso64ixvndtniok2igg5xapeq

Hybrid-augmented intelligence: collaboration and cognition

Nan-ning Zheng, Zi-yi Liu, Peng-ju Ren, Yong-qiang Ma, Shi-tao Chen, Si-yu Yu, Jian-ru Xue, Ba-dong Chen, Fei-yue Wang
2017 Frontiers of Information Technology & Electronic Engineering  
This survey describes a basic framework for human-computer collaborative hybrid-augmented intelligence, and the basic elements of hybrid-augmented intelligence based on cognitive computing.  ...  learning framework for visual scene understanding based on memory and reasoning.  ...  Acknowledgements We are grateful to the reviewers for their valuable comments which helped us improve the manuscript.  ... 
doi:10.1631/fitee.1700053 fatcat:t4axcmno75a5vegz2jlhoj53ci

Matching points of interest with user context: an ANN approach

2017 Turkish Journal of Electrical Engineering and Computer Sciences  
In this paper, the design and development of an artificial neural network (ANN) for similarity value calculation in a context-aware system is proposed.  ...  By using a neural network for similarity value calculation, the system can adapt to the needs of different people.  ...  As a result of these technological improvements, computing is mobile and ubiquitous these days.  ... 
doi:10.3906/elk-1503-61 fatcat:7q2ufniuerdz7be7rzh5znjcpy

Review and Comparative Analysis of Topic Identification Techniques

Deepti Sehrawat, Maharshi Dayanand University, Rohtak, Haryana (India)
2019 International Journal of Advanced Trends in Computer Science and Engineering  
Soft computing techniques including fuzzy logic, neural networks, support vector machine, ant colony optimization, swarm optimization, and their hybrid approaches provide a good solution for text clustering  ...  , and soft computing approach.  ...  Qingyu Zhou et al. (2018) presented a framework for extractive document summarization using neural networks.  ... 
doi:10.30534/ijatcse/2019/71832019 fatcat:g46lyzxg7jcehlci4r62nxbtpe

Unsupervised Feature Learning Assisted Visual Sentiment Analysis

Zuhe Li, Yangyu Fan, Fengqin Wang, Weihua Liu
2016 International Journal of Multimedia and Ubiquitous Engineering  
Then we use a convolutional neural network (CNN) to obtain feature activations on full images for sentiment concept classification.  ...  In this paper, we propose a hybrid approach for visual sentiment concept classification with an unsupervised feature learning architecture called convolutional autoencoder.  ...  Acknowledgements This work was supported by the Science and Technology Innovation Engineering Program for Shaanxi Provincial Key Laboratories under Grant 2013SZS15-K02.  ... 
doi:10.14257/ijmue.2016.11.10.11 fatcat:nzqmybcptjf7fbfetjyeftbpyu

Editorial for the special issue: Knowledge-based systems and data science

Hamido Fujita, Ali Selamat
2018 Applied intelligence (Boston)  
in a vast array of domains including network security, hardware and software, data structures, ranking predictions, pattern recognition, medical tools, ubiquitous computing, education and else The papers  ...  The paper titled "Vector Based Genetic Algorithm (VBGA) to optimize predictive analysis in network security" proposes a new Intrusion Detection System (IDS) for network security, making use of a Vector-Based  ...  In the paper titled "Hybrid sentiment classification on twitter aspect-based sentiment analysis", a new hybrid approach for twitter aspect-based sentiment classification is proposed by embedding the feature  ... 
doi:10.1007/s10489-018-1143-0 fatcat:cmbrbvje75fwze5ohj6m5utghu

FRIENDs: Brain-monitoring agents for adaptive socio-technical systems

Alexis Morris, Mihaela Ulieru
2013 Multiagent and Grid Systems  
in potentially large complex and also multi-dimensional social networks (see [47, 75] for more on dimensionality of social systems).  ...  To be ubiquitous it is unrealistic for applications to have specialized overhead for individual users. Personalizable, but distributed approaches are needed.  ...  Soft computing involves the combined research domains of Fuzzy Logic, Artificial Neural Networks, and Evolutionary Algorithms.  ... 
doi:10.3233/mgs-120198 fatcat:7a3zclxz2rbnrgo362d6g7lddq
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