2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS)最新文献_第5页

Towards a Low-cost WiFi based Real-time Human Activity Recognition System 基于低成本WiFi的实时人体活动识别系统

2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2022-08-01 DOI: 10.1109/COINS54846.2022.9854935

Hiran Lowe, Minul Lamahewage, Kutila Gunasekera

{"title":"Towards a Low-cost WiFi based Real-time Human Activity Recognition System","authors":"Hiran Lowe, Minul Lamahewage, Kutila Gunasekera","doi":"10.1109/COINS54846.2022.9854935","DOIUrl":"https://doi.org/10.1109/COINS54846.2022.9854935","url":null,"abstract":"Current implementations of human monitoring systems based on video, audio, and wearables offer better data but at the cost of privacy and convenience. While research has focused on systems using off-the-shelf WiFi hardware as an alternative to existing systems, most of them have been implemented using the Intel WL5300 WiFi network adapter, which requires a dedicated computer to function. Our research focuses on using low-cost Raspberry Pi 3B+ devices as an alternative for human activity recognition using WiFi CSI data through classification. In this paper, we propose a real-time implementation of a deep learning based human activity recognition system through classification using Raspberry Pi. We have created a public dataset of human activity data for six activities. A Convolutional LSTM model is used for the classification of activity data. A prototype system has also been developed for the real-time recognition of human activity data. We have achieved an accuracy of 95% for the model for the experiments performed in two test environments across six activities, including one for no movement. We have also evaluated the performance of our real-time human activity recognition system with acceptable performance in a static environment.","PeriodicalId":187055,"journal":{"name":"2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131111626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Auto-tuning HyperParameters of SGD Matrix Factorization-Based Recommender Systems Using Genetic Algorithm 基于遗传算法的SGD矩阵分解推荐系统超参数自整定

2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2022-08-01 DOI: 10.1109/COINS54846.2022.9854956

Habib Irani, Fatemeh Elahi, M. Fazlali, Mahyar Shahsavari, Bahareh J. Farahani

{"title":"Auto-tuning HyperParameters of SGD Matrix Factorization-Based Recommender Systems Using Genetic Algorithm","authors":"Habib Irani, Fatemeh Elahi, M. Fazlali, Mahyar Shahsavari, Bahareh J. Farahani","doi":"10.1109/COINS54846.2022.9854956","DOIUrl":"https://doi.org/10.1109/COINS54846.2022.9854956","url":null,"abstract":"Recommender systems enable companies to generate meaningful recommendations to users for items or products that might interest them. Stochastic Gradient Descent Matrix Factorization (SGD-MF) is one of the most popular model-based recommender systems. Fractional Adaptive Stochastic Gradient Descent matrix factorization (FASGD-MF) is a subset of SGD-MF-based models that apply fractional calculus in an adaptive way. There are some hyperparameters in these models that impact the quality of the recommender system. However, searching the hyperparameter space to find the best configuration using an exhaustive search is often a time-consuming task. This paper employs a genetic algorithm as a search metaheuristic to tackle this problem. The proposed method is designed based on non-uniform mutation and whole arithmetic crossover. The results indicate that optimizing hyperparameters by the proposed method not only adjusts the values of hyperparameters automatically but also can improve the quality of SGD-MF-based models. Implementing the proposed genetic algorithm on two datasets (MovieLens 100K and MovieLens 1M) verifies the assertion about the performance.","PeriodicalId":187055,"journal":{"name":"2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131314220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detection of Defaulters in P2P Lending Platforms using Unsupervised Learning 基于无监督学习的P2P借贷平台违约检测

2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2022-08-01 DOI: 10.1109/COINS54846.2022.9854964

P. Mukherjee, Y. Badr

引用次数: 1

Security risks in MQTT-based Industrial IoT Applications 基于mqtt的工业物联网应用中的安全风险

2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2022-08-01 DOI: 10.1109/COINS54846.2022.9854993

Tejaswi Boppana, P. Bagade

{"title":"Security risks in MQTT-based Industrial IoT Applications","authors":"Tejaswi Boppana, P. Bagade","doi":"10.1109/COINS54846.2022.9854993","DOIUrl":"https://doi.org/10.1109/COINS54846.2022.9854993","url":null,"abstract":"Internet of Things (IoT) plays a crucial role in improving the quality of life. In recent years, IoT systems have proliferated in almost every industry, including manufacturing, automobiles, agriculture, and energy. IoT is the key enabling technology for Industry 4.0. This growing reliance on IoT devices piqued the interest of several adversaries attempting to gain unauthorized access to IoT systems for illicit purposes. So, it is essential to identify any potential security risks in IoT systems. Numerous Industrial Internet of Things (IIoT) applications, including wind turbines, agriculture, and warehouses, deploy hundreds of IoT devices in remote locations. These IoT devices are not physically monitored since it requires extensive human effort. Instead, the IoT devices are monitored by web applications that collect sensor data from remote devices. IoT application-layer protocols are responsible for communication between web applications and IoT devices in such large-scale IoT systems. Any communication flaw could put the entire IoT system at risk. The publish/subscribe-based MQTT protocol is a widely used IoT messaging standard. In this paper, we present a threat model and demonstrate a specific weakness in unencrypted MQTT-based IoT systems that enables an attacker to gain unauthorized access to the entire system by launching a combination of man-in-the-middle (MITM) and cross-site scripting (XSS) attacks. We also discuss steps to be taken and future directions for research in the security of industrial IoT systems using the MQTT communication protocol to avoid the possibility of such attacks.","PeriodicalId":187055,"journal":{"name":"2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114499572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

COINS 2022 Committee 2022年硬币委员会

2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2022-08-01 DOI: 10.1109/COINS54846.2022.9854952

K. Chakrabarty, David Z. Pan, M. Sarrafzadeh, M. Daneshmand, Honggang Wang, Olivia Choudhry, Tooska Dargah, Subham Datta, Junhao Gan, Sofiane Hamrioui, G. Hancke

引用次数: 0

Towards making the most of NLP-based device mapping optimization for OpenCL kernels 对OpenCL内核进行基于nlp的设备映射优化

2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2022-08-01 DOI: 10.1109/COINS54846.2022.9855002

Petros Vavaroutsos, Ioannis Oroutzoglou, Dimosthenis Masouros, D. Soudris

{"title":"Towards making the most of NLP-based device mapping optimization for OpenCL kernels","authors":"Petros Vavaroutsos, Ioannis Oroutzoglou, Dimosthenis Masouros, D. Soudris","doi":"10.1109/COINS54846.2022.9855002","DOIUrl":"https://doi.org/10.1109/COINS54846.2022.9855002","url":null,"abstract":"Nowadays, we are living in an era of extreme device heterogeneity. Despite the high variety of conventional CPU architectures, accelerator devices, such as GPUs and FPGAs, also appear in the foreground exploding the pool of available solutions to execute applications. However, choosing the appropriate device per application needs is an extremely challenging task due to the abstract relationship between hardware and software. Automatic optimization algorithms that are accurate are required to cope with the complexity and variety of current hardware and software. Optimal execution has always relied on time-consuming trial and error approaches. Machine learning (ML) and Natural Language Processing (NLP) has flourished over the last decade with research focusing on deep architectures. In this context, the use of natural language processing techniques to source code in order to conduct autotuning tasks is an emerging field of study.In this paper, we extend the work of Cummins et al., namely Deeptune, that tackles the problem of optimal device selection (CPU or GPU) for accelerated OpenCL kernels. We identify three major limitations of Deeptune and, based on these, we propose four different DNN models that provide enhanced contextual information of source codes. Experimental results show that our proposed methodology surpasses that of Cummins et al. work, providing up to 4% improvement in prediction accuracy.","PeriodicalId":187055,"journal":{"name":"2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127240909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From Conception to Deployment: Intelligent Stroke Prediction Framework using Machine Learning and Performance Evaluation 从概念到部署:使用机器学习和性能评估的智能中风预测框架

2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2022-08-01 DOI: 10.1109/COINS54846.2022.9854961

L. Ismail, Huned Materwala

引用次数: 2

Tiny Time-Series Transformers: Realtime Multi-Target Sensor Inference At The Edge 微型时间序列变压器:边缘的实时多目标传感器推断

2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2022-08-01 DOI: 10.1109/COINS54846.2022.9854988

T. Becnel, Kerry E Kelly, P. Gaillardon

引用次数: 2

Interference Recognition for Fog Enabled IoT Architecture using a Novel Tree-based Method 基于树状结构的干扰识别方法

2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2022-08-01 DOI: 10.1109/COINS54846.2022.9854944

Rasool Seyghaly, Jordi García, X. Masip-Bruin, Mohammad Mahmoodi Varnamkhasti

{"title":"Interference Recognition for Fog Enabled IoT Architecture using a Novel Tree-based Method","authors":"Rasool Seyghaly, Jordi García, X. Masip-Bruin, Mohammad Mahmoodi Varnamkhasti","doi":"10.1109/COINS54846.2022.9854944","DOIUrl":"https://doi.org/10.1109/COINS54846.2022.9854944","url":null,"abstract":"When connecting and interacting with any device over the internet, the Internet of Things (IoT) holds much potential. Every day, the number of devices increases, and these devices come in a wide variety of shapes, sizes, functions, and levels of complexity. IoT provides a variety of services through applications, but it is plagued by security vulnerabilities and attacks, such as sinkhole attacks, eavesdropping, and denial of service attacks, among others. Also, cyber-attacks are growing more complex, making them harder to identify. These attacks impact the network’s sensitive information because they penetrate the network while behaving normally. This study presents a fog-assisted approach for detecting interference in IoT architecture, including DoS, DDoS, data exfiltration, keylogging, service and OS Scan attacks. In a novel three-phase classification system, we have used tree-based ensembles for this aim. The accuracy of the proposed model has been improved to 95.1 percent (the accuracy is 99% in training phase). This increase in accuracy has been achieved by paying particular attention to the high generality and the absence of over-fitting, which are detailed later in this article.","PeriodicalId":187055,"journal":{"name":"2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115995494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

A real-time Arduino based AC-DC Boost converter for Vibration Energy Harvesting devices 一种用于振动能量收集设备的基于Arduino的实时AC-DC升压转换器

2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS) Pub Date : 2022-08-01 DOI: 10.1109/COINS54846.2022.9854992

C. S. Clemente, D. Davino, Immacolato Iannone, V. Loschiavo

{"title":"A real-time Arduino based AC-DC Boost converter for Vibration Energy Harvesting devices","authors":"C. S. Clemente, D. Davino, Immacolato Iannone, V. Loschiavo","doi":"10.1109/COINS54846.2022.9854992","DOIUrl":"https://doi.org/10.1109/COINS54846.2022.9854992","url":null,"abstract":"IoT devices are becoming ubiquitous, spreading in several technological fields. Because of their remote collocation, their usefulness profits of power supplies based on energy harvesting techniques, rather than batteries. Vibration Energy Harvesters (VEHs) based on magnetostrictive alloys are promising because of their excellent characteristics, but the available vibrations are such that the exploitable output voltages are lower than the standards 1.6, 3.3 and 5 V. Then, an electronic circuitry is necessary to increase the output DC voltage and improve their efficiency. Conversion methods have been presented over the years for other smart devices based on piezoelectrics. However, very few or none are specialized for magnetostrictive ones. A promising technique for the latters can be a direct AC-DC Boost conversion. This paper presents the design and control of such a circuit, driven with a real-time operating Arduino board, able to self-adapt with respect to the incoming time period. Several experimental tests are presented, showing the potentiality of the circuit.","PeriodicalId":187055,"journal":{"name":"2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125802228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0