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PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices [article]

Delia Velasco-Montero, Ricardo Carmona-Galán Instituto de Microelectrónica de Sevilla
2019 arXiv   pre-print
As an additional asset, the fine-grained a priori analysis provided by PreVIous could also be exploited by neural architecture search engines.  ...  This paper presents PreVIous, a methodology to predict the performance of convolutional neural networks (CNNs) in terms of throughput and energy consumption on vision-enabled devices for the Internet of  ...  This CPU-based embedded system (sized 83 × 58 × 20 mm) is more suitable for high-performance IoT applications.  ... 
arXiv:1912.06442v1 fatcat:6zb3bwib3bhhxlinie7cfszvvq

An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks

Andrew Churcher, Rehmat Ullah, Jawad Ahmad, Sadaqat ur Rehman, Fawad Masood, Mandar Gogate, Fehaid Alqahtani, Boubakr Nour, William J. Buchanan
2021 Sensors  
This has resulted in attackers having an increased incentive to target IoT devices.  ...  In recent years, there has been a massive increase in the amount of Internet of Things (IoT) devices as well as the data generated by such devices.  ...  Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21020446 pmid:33435202 fatcat:bxj2qzl3pvf4phv75hpnzj3uei

Managing Time-Sensitive IoT Applications via Dynamic Application Task Distribution and Adaptation

Harindu Korala, Dimitrios Georgakopoulos, Prem Prakash Jayaraman, Ali Yavari
2021 Remote Sensing  
Finally, the paper demonstrates that the DTDA task management technique of TIDA meets the time-bound requirements of TS-IoT applications by presenting an experimental evaluation involving real time-sensitive  ...  ., unpredictable data rates and sudden disconnections) of the IoT environment, it has become a major challenge to ensure the time-bounds of TS-IoT applications.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13204148 fatcat:wewg2msw25as3mwvo7iyqzatke

Automated and Reproducible Application Traces Generation for IoT Applications

Nina Santi, Rémy Grünblatt, Brandon Foubert, Aroosa Hameed, John Violos, Aris Leivadeas, Nathalie Mitton
2021 Proceedings of the 17th ACM Symposium on QoS and Security for Wireless and Mobile Networks  
In this paper, we investigate and present how to generate application traces of IoT (Internet of Things) Applications in an automated, repeatable and reproducible manner.  ...  While we focus in this work on IoT networks, we believe such an approach could be of used in many other networking domains.  ...  We require an advanced analysis to get meaningful insights of IoT QoS applications' behavior from generated time series datasets.  ... 
doi:10.1145/3479242.3487321 fatcat:dfqvciwaqbhfrflwgcwwq7vyz4

Machine-Learning-Based Darknet Traffic Detection System for IoT Applications

Qasem Abu Al-Haija, Moez Krichen, Wejdan Abu Elhaija
2022 Electronics  
applications.  ...  Thus, in this paper, we develop, investigate, and evaluate the performance of machine-learning-based Darknet traffic detection systems (DTDS) in IoT networks.  ...  Section 4 presents and discusses our experimental results of the proposed ML-DTDS-IoT.  ... 
doi:10.3390/electronics11040556 fatcat:ltk2mqppizbndcufgxd3htx44y

Security Testing of IOT Smart Applications

Shymaa Shaban, Eman Mohamed, Arabi Keshk
2021 IJCI. International Journal of Computers and Information  
Internet of Things (IoT) offers a big variety of smart applications. Smart homes (SH) are a well-known utility of IoT that enhances quality of life.  ...  This paper proposes to enhance an existing SH simulation tool to be remotely managed inside a secure server.  ...  Protection of SH layout primarily based totally on IoT applications is a factor that represents an essential count of SH studies.  ... 
doi:10.21608/ijci.2021.207747 fatcat:mtcegfsc4nhefowezs2utykx2y

Internet of Plants Application for Smart Agriculture

Khurshid Aliev, Mohammad Moazzam, Sanam Narejo, Eros Pasero, Alim Pulatov
2018 International Journal of Advanced Computer Science and Applications  
In response to this fact, an application is developed for 10 days ahead maximum and minimum temperatures forecasting using a type of recurrent neural network.  ...  In order to accomplish this, we developed a prototype device and an android application which acquires physical data and sends it to cloud.  ...  EXPERIMENTAL RESULTS The primary goal of our research was to develop an IoT system which can acquire the remotely sensed weather data through an android application.  ... 
doi:10.14569/ijacsa.2018.090458 fatcat:oid52b7dnjg6lgvsunfohtjgb4

Machine Learning Applications on Agricultural Datasets for Smart Farm Enhancement

Fabrizio Balducci, Donato Impedovo, Giuseppe Pirlo
2018 Machines  
The agricultural field is only apparently refractory to the digital technology and the "smart farm" model is increasingly widespread by exploiting the Internet of Things (IoT) paradigm applied to environmental  ...  The focus of this study is the design and deployment of practical tasks, ranging from crop harvest forecasting to missing or wrong sensors data reconstruction, exploiting and comparing various machine  ...  [32] introduce an IoT application, named 'AGRO-TECH', that is accessible by farmers to keep track of soil, crop, and water, which is also deepened by the authors of [33] ; Rekha et al.  ... 
doi:10.3390/machines6030038 fatcat:zgr2mhjfzvb5falbtv3jqvptei

MicroServices Suite for Smart City Applications

Claudio Badii, Pierfrancesco Bellini, Angelo Difino, Paolo Nesi, Gianni Pantaleo, Michela Paolucci
2019 Sensors  
In this paper, these aspects are reviewed, highlighting the requirements for smart city IoT applications and in particular, the ones that implement a set of specific MicroServices for IoT Applications  ...  Moreover; our experience has allowed us to implement a suite of MicroServices for Node-RED; which has allowed for the creation of a wide range of new IoT applications for smart cities that includes dashboards  ...  Desirable applications could be, for example, computing sentiment analysis, performing a clustering classification and recognition, computing some predictions on the basis of the historical data of some  ... 
doi:10.3390/s19214798 pmid:31690012 pmcid:PMC6864587 fatcat:b5v4z537trgbfnvconqhsl7ogy

Supervised Machine Learning for RSSI based Indoor Localization in IoT Applications

M.W.P. Maduranga, Ruvan Abeysekara
2021 International Journal of Computer Applications  
IoT related localization applications.  ...  An experimental test-bed was implanted in a controlled environment to collect RSSI values from the sensor nodes.  ...  PREDICTION MODELS DEVELOPMENT RESULT ANALYSIS It has collected 4520 RSSI values from 32 known locations in the test-bed in one test.  ... 
doi:10.5120/ijca2021921305 fatcat:mn47t22ndnaoxlnyevzvlxt3oy

Predicting complex events for pro-active IoT applications

Adnan Akbar, Francois Carrez, Klaus Moessner, Ahmed Zoha
2015 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT)  
The widespread use of IoT devices has opened the possibilities for many innovative applications. Almost all of these applications involve analyzing complex data streams with low latency requirements.  ...  We propose an adaptive prediction algorithm called Adaptive Moving Window Regression (AMWR) for dynamic IoT data and evaluated it using a realworld use case.  ...  The context of the application may change resulting in the degradation of prediction model performance.  ... 
doi:10.1109/wf-iot.2015.7389075 dblp:conf/wf-iot/AkbarCMZ15 fatcat:4oazfs6o3vfqzmcwispglfuoaa

Wearable Technology and Mobile Applications for Healthcare

Iván García-Magariño, Dilip Sarkar, Raquel Lacuesta
2019 Mobile Information Systems  
Acknowledgments The editors acknowledge the support of Zahia Guessoum from the University of Reims Champagne-Ardenne, Reims, France. Iván García-Magariño Dilip Sarkar Raquel Lacuesta  ...  for predictions, (c) gait assessment, and (d) analysis of survey data about users' perceptions.  ...  However, it is worth highlighting that, besides WT and apps, the interest of Internet of things (IoT) is continuously increasing in the context of healthcare [6] , since IoT can automatically collate  ... 
doi:10.1155/2019/6247094 fatcat:ezbitwv3gnhmfay4bqltqmsl3q

Application of IoT-Aided Simulation to Manufacturing Systems in Cyber-Physical System

Yifei Tan, Wenhe Yang, Kohtaroh Yoshida, Soemon Takakuwa
2019 Machines  
In this study, we first explain the concept of DT and important issues involved in developing it within an IoT-aided manufacturing environment.  ...  Finally, we describe how we verify the effectiveness of the proposed framework and scheme, by constructing a DT-oriented simulation model for an IoT-aided manufacturing system.  ...  Forecasting, experimentation and optimization are other important features of DT to predict the future status or performance.  ... 
doi:10.3390/machines7010002 fatcat:uhpdleonjvcibhsbbth6zs5koy

Deep learning: emerging trends, applications and research challenges

Mu-Yen Chen, Hsiu-Sen Chiang, Edwin Lughofer, Erol Egrioglu
2020 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
We are grateful to the Editor-in-Chief of Soft Computing journal as well as Professor Antonio Di Nola and Professor Raffaele Cerulli for their great effort during all the phases of production.  ...  The quality of their research and their passion for conducting socially meaningful science is reflected in every article.  ...  Chen et al. (2019) built a sentiment analysis framework based on different deep learning models. The experimental results showed the approach can improve the sentiment classification performance.  ... 
doi:10.1007/s00500-020-04939-z fatcat:odpz4kywlfen3nhlmknc7tiz64

8th EAI International Conference on Context-Aware Systems and Applications (ICCASA 2019) AND 5th EAI International Conference on Nature of Computation and Communication (ICTCC 2019)

Phan Vinh
2019 EAI Endorsed Transactions on Context-aware Systems and Applications  
Experimental results show that the hybrid WON-KNN is a better classifier to predict the liver diseases.  ...  The experimental results show that the proposed solution can be implemented well on quantitative dataset as well as improve the accuracy and performance of the recommendation systems.  ... 
doi:10.4108/eai.23-5-2019.158954 fatcat:nh5vkumh75govl24bqet5p2tdi
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