Proceedings of the 3rd International Conference on Applications of Intelligent Systems最新文献_第3页

Transfer Learning for Collision Localization in Collaborative Robotics 协作机器人碰撞定位的迁移学习

Proceedings of the 3rd International Conference on Applications of Intelligent Systems Pub Date : 2020-01-07 DOI: 10.1145/3378184.3378192

Dmitry Popov, A. Klimchik

引用次数: 4

deep-MARLIN: Using Deep Multi-Agent Reinforcement Learning for Adaptive Traffic Light Control Deep - marlin:将深度多智能体强化学习用于自适应红绿灯控制

Proceedings of the 3rd International Conference on Applications of Intelligent Systems Pub Date : 2020-01-07 DOI: 10.1145/3378184.3378194

R. Klöckner, Patrick Klose

{"title":"deep-MARLIN: Using Deep Multi-Agent Reinforcement Learning for Adaptive Traffic Light Control","authors":"R. Klöckner, Patrick Klose","doi":"10.1145/3378184.3378194","DOIUrl":"https://doi.org/10.1145/3378184.3378194","url":null,"abstract":"Almost every major city in the world is facing a significant economic loss caused by traffic congestions. In this context, it already has been shown that Adaptive Traffic Light Control (ATLC) can be an effective solution to improve a diversity of different traffic-related metrics. The problem of ATLC can be modeled in various ways with reinforcement learning being one of the most promising frameworks. Especially the application of Multi-Agent Reinforcement Learning (MARL) can be a suitable approach for learning to adaptively control the traffic of realistic road networks. Among the set of MARL algorithms, Multi-Agent Reinforcement Learning for Integrated Network (MARLIN) stands out and is shown to be particularly suited to the problem of ATLC with producing remarkable results. MARLIN models the multi-agent framework as a stochastic game providing an explicit coordination mechanism for the agents. However, in MARLIN, the possible size of the state and action space is limited and the features for the state representation need to be hand-crafted. Therefore, in this study, the algorithm is combined with function approximation by using artificial neural networks to overcome these limitations. deep-MARLIN is explained and bench-marked in a large and realistic traffic environment using Simulation of Urban MObility (SUMO). The results indicate that when compared to MARLIN, deep-MARLIN converges faster to a policy that is producing lower average vehicle delay.","PeriodicalId":437507,"journal":{"name":"Proceedings of the 3rd International Conference on Applications of Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121047942","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: 2

The SoundLight System: Fostering Adaptive Sound and Light Control in Clinical Environment 声光系统:在临床环境中培养自适应声光控制

Proceedings of the 3rd International Conference on Applications of Intelligent Systems Pub Date : 2020-01-07 DOI: 10.1145/3378184.3378191

Salvatore Saiu, E. Grosso

{"title":"The SoundLight System: Fostering Adaptive Sound and Light Control in Clinical Environment","authors":"Salvatore Saiu, E. Grosso","doi":"10.1145/3378184.3378191","DOIUrl":"https://doi.org/10.1145/3378184.3378191","url":null,"abstract":"In the frame of POR FESR 2014-2020 Programs, the SoundLight project is intended to be a support for the inpatients, to ameliorate their pre and post-surgery psychophysiological conditions. SoundLight is an adaptive system, based on an intelligent agent designed for the control and the combined administration of auditory and visual stimuli, in a clinical environment. More precisely, the agent autonomously processes the sound signal, coming from various sources, and provides real-time conversion of the signal into controlled lighting effects, that are perceived relaxing by patients. The system is based on spectral signal analysis for the characterization of the sound signal and leverages on a novel sound-to-color conversion algorithm, which allows to transform main sound characters first into a chromatic reference wavelength and finally into a set of RGB values to be sent to light sources. The paper briefly introduces some essential concepts of the spectral analysis developed and focuses on the hardware/software architecture adopted to achieve real-time processing while maintaining a very compact form-factor of the processing hardware. Some key concepts related to the ongoing validation are also presented1.","PeriodicalId":437507,"journal":{"name":"Proceedings of the 3rd International Conference on Applications of Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126988262","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

A deep learning based approach for detecting panels in photovoltaic plants 基于深度学习的光伏电站面板检测方法

Proceedings of the 3rd International Conference on Applications of Intelligent Systems Pub Date : 2020-01-07 DOI: 10.1145/3378184.3378185

Antonio Greco, Christopher Pironti, Alessia Saggese, M. Vento, Vincenzo Vigilante

{"title":"A deep learning based approach for detecting panels in photovoltaic plants","authors":"Antonio Greco, Christopher Pironti, Alessia Saggese, M. Vento, Vincenzo Vigilante","doi":"10.1145/3378184.3378185","DOIUrl":"https://doi.org/10.1145/3378184.3378185","url":null,"abstract":"Photovoltaic (PV) panels are a clean and widespread way to produce renewable energy from sunlight; at the same time, such plants require maintenance, since solar panels can be affected by many types of damaging factors and have a limited yet variable lifespan. With the impressive growth of such PV installations, it is in the public eye the need of a cheap and effective way to continuously monitor the state of the plants and a standard technique designed to promptly replace broken modules, in order to prevent drops in the energy production. Since the faults mainly appear as Hot Spots on the surface of the PV panels, aerial thermal imaging can be used to diagnose such problems and also locate them in huge plants. To this aim, dedicated automatic Computer Vision methods are able to automatically find hot spots from thermal images, where they appear as white stains. In these methods a fundamental step is the segmentation of the PV panels, which allows to automatically detect each module. In this paper, we address the problem of PV Panel Detection using a Convolutional Neural Network framework called YOLO. We demonstrate that it is able to effectively and efficiently segment panels from an image. The method is quantitatively evaluated and compared to existing PV panel detection approaches on the biggest publicly available benchmark dataset; the experimental results confirm its robustness.","PeriodicalId":437507,"journal":{"name":"Proceedings of the 3rd International Conference on Applications of Intelligent Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133318815","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: 20

Descriptive Statistics Time-based Meta Features (DSTMF): Constructing a better Set of Meta Features for Model Selection in Energy Time Series Forecasting 描述性统计基于时间的元特征(DSTMF):构建一组更好的用于能源时间序列预测模型选择的元特征

Proceedings of the 3rd International Conference on Applications of Intelligent Systems Pub Date : 2020-01-07 DOI: 10.1145/3378184.3378221

Shadi Shahoud, Hatem Khalloof, Clemens Duepmeier, V. Hagenmeyer

{"title":"Descriptive Statistics Time-based Meta Features (DSTMF): Constructing a better Set of Meta Features for Model Selection in Energy Time Series Forecasting","authors":"Shadi Shahoud, Hatem Khalloof, Clemens Duepmeier, V. Hagenmeyer","doi":"10.1145/3378184.3378221","DOIUrl":"https://doi.org/10.1145/3378184.3378221","url":null,"abstract":"For forecasting of energy related time series data (e.g. \"load\" or \"generation\"), many different kind of learning algorithms exist. The task of selecting an appropriate algorithm which is adequate for usage with a pre-given time series is not easy for non-data science experts. Since a trial-and-error approach for finding a suitable algorithm is tedious, computationally intensive and time-consuming, meta learning approach which describes how to design an appropriate methodology to constrain the search space for fully automatically finding the suitable learning algorithm is proposed. In the present paper, based on the assumption that good indicators describing certain characteristics of an e.g. energy time series dataset may provide useful insight into which forecasting algorithms are most suitable, a Descriptive Statistics Time-based Meta Features (DSTMF) description format for energy time series datasets is proposed to efficiently select an appropriate learning algorithm to perform energy forecasting on a time series dataset. In order to demonstrate the performance of the new methodology, experiments on datasets which are load time series from 60 institutional buildings are conducted. Based on a similarity-based clustering analysis, the potential of DSTMF's meta features for capturing deep characteristics of energy time series datasets is evaluated and compared to other state-of-the-art meta features. The experiments show very good results and outperform state-of-the-art meta features to enhance model selection in energy time series forecasting.","PeriodicalId":437507,"journal":{"name":"Proceedings of the 3rd International Conference on Applications of Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131228244","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: 4

WIZARD 向导

Proceedings of the 3rd International Conference on Applications of Intelligent Systems Pub Date : 2020-01-07 DOI: 10.1145/3378184.3378188

Diego F. Souza, Arthur F. Batista, Thiago M. Rocha, Cícero A. L. Pahins, Larissa M. Almeida, Fabrício D'Morison, JungYoon Cha

{"title":"WIZARD","authors":"Diego F. Souza, Arthur F. Batista, Thiago M. Rocha, Cícero A. L. Pahins, Larissa M. Almeida, Fabrício D'Morison, JungYoon Cha","doi":"10.1145/3378184.3378188","DOIUrl":"https://doi.org/10.1145/3378184.3378188","url":null,"abstract":"When an Android mobile device starts for the first time, the Android Setup Wizard (ASW) is loaded so the user can do his initial configurations, such as Wi-Fi network, date, user account, data restore, terms and condition, and others. However, in the context of manual or automated tests, every time a device starts for the first time, this ASW should be consistently configured before the tests begin. This configuration should not affect the test measurements to make them reproducible. It is impracticable to manually pass through all the steps of the ASW before every new test since this limits scalability. Moreover, a manual process can be error-prone, since two testers might use different navigation paths in the ASW, and this can affect the output. An automated script to do this task is not trivial as steps of the ASW can change depending on the device model, Android version (N, O, P, Q, etc.) and vendor (Verizon, Global, etc.). This means that the number of steps and the actions that should be executed in each of them can vary. Therefore, we propose WIZARD, an intelligent system that navigates automatically and consistently through the steps of the ASW, allowing the specialist to customize this navigation. To do that, WIZARD uses information retrieval (IR), vector space model (VSM), and re-rank techniques. We validate our approach on a set of real-world and commercially-available Android builds of a large company that comprises 1505 unique records. In the task of predicting the action to execute, our approach achieved an average Accuracy@1 of 98,82% and an Accuracy@5 of 99,87%. To the best of our knowledge, WIZARD is the first system that automatically navigates in the ASW to prepare devices for reproducible tests.","PeriodicalId":437507,"journal":{"name":"Proceedings of the 3rd International Conference on Applications of Intelligent Systems","volume":"10 13","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113962156","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: 11

An RNN-Ensemble approach for Real Time Human Pose Estimation from Sparse IMUs 基于稀疏imu的实时人体姿态估计RNN-Ensemble方法

Proceedings of the 3rd International Conference on Applications of Intelligent Systems Pub Date : 2020-01-07 DOI: 10.1145/3378184.3378228

Deepak Nagaraj, Erik Schake, Patrick Leiner, Dirk Werth

{"title":"An RNN-Ensemble approach for Real Time Human Pose Estimation from Sparse IMUs","authors":"Deepak Nagaraj, Erik Schake, Patrick Leiner, Dirk Werth","doi":"10.1145/3378184.3378228","DOIUrl":"https://doi.org/10.1145/3378184.3378228","url":null,"abstract":"With recent advances in various hardware technologies, human motion capturing (MoCap) has gained importance in the fields such as computer vision, computer animation, gesture recognition in gaming, and most importantly in bio-mechanical analysis. In this direction, human motion is being captured using various kinds of sensors. Correspondingly, many model-based and data-based techniques have been developed in order to decode sensor readings into information understandable by a person. Given that the current technologies still lack applicability in real-world scenarios considering cost and ease of information gathering, leaves substantial room for improvement. This article focuses on the development of a novel machine learning based proof of concept for real-time human pose estimation using data collected from sparse inertial measurement units (IMU) system which is cost-effective and least intrusive in the scope of skilled crafts domain. Training diverse bi-directional recurrent neural networks (bi-RNN) with variable window size and building an ensemble of these models to estimate human pose in terms of human-joints' angles more accurately and robustly is discussed.","PeriodicalId":437507,"journal":{"name":"Proceedings of the 3rd International Conference on Applications of Intelligent Systems","volume":"55 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114098524","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

Perspective Approach for Security of Biometric Image 生物特征图像安全的透视方法

Proceedings of the 3rd International Conference on Applications of Intelligent Systems Pub Date : 2020-01-07 DOI: 10.1145/3378184.3378216

Astha Singh, Ankit Kumar, M. Dutta, C. Travieso-González, Luis Esteban-Hernández

{"title":"Perspective Approach for Security of Biometric Image","authors":"Astha Singh, Ankit Kumar, M. Dutta, C. Travieso-González, Luis Esteban-Hernández","doi":"10.1145/3378184.3378216","DOIUrl":"https://doi.org/10.1145/3378184.3378216","url":null,"abstract":"The commonplace generation of the digital patterns by the classic watermarking approach has some visible constraints. This paper proposes a significant way to generate a watermarked image using a multimodal biometric system in which a fingerprint and a palm-print biometric of a user has chosen. The generation of a digitally watermarked image is done by using features of both the biometric which has been logically combined to satisfy ownership and is robust indeed. This paper efficaciously resolves the ownership conflict of the host data. The fingerprint biometric image of a user is taken as the host data and its digital watermarked image is fabricated by embedding the palm-print of the same user, which ensures the user's ownership stamp by satisfying the dual authentication. Created watermarked image has been scrutinized through a study for its uniqueness and recognition accuracy. The approach of the proposed algorithm is to make the watermarked data reliably invulnerable while dispersing it in the shared database. Singular value decomposition (SVD) algorithm has been practiced to inculcate the palm-print watermark in the fingerprint image. Outcomes of experimentations evince that the watermarked data is qualified to endure the triggered image processing attack and keep the perceptual properties of data unvaried. The achievement of this work is its rate of perceptual transparency and robustness of the watermarked image.","PeriodicalId":437507,"journal":{"name":"Proceedings of the 3rd International Conference on Applications of Intelligent Systems","volume":"43 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115976952","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

A Face Recognition System for Assistive Robots 辅助机器人的人脸识别系统

Proceedings of the 3rd International Conference on Applications of Intelligent Systems Pub Date : 2020-01-07 DOI: 10.1145/3378184.3378225

Samuel-Felipe Baltanas, J. Ruiz-Sarmiento, Javier González

{"title":"A Face Recognition System for Assistive Robots","authors":"Samuel-Felipe Baltanas, J. Ruiz-Sarmiento, Javier González","doi":"10.1145/3378184.3378225","DOIUrl":"https://doi.org/10.1145/3378184.3378225","url":null,"abstract":"Assistive robots collaborating with people demand strong Human-Robot interaction capabilities. In this way, recognizing the person the robot has to interact with is paramount to provide a personalized service and reach a satisfactory end-user experience. To this end, face recognition: a non-intrusive, automatic mechanism of identification using biometric identifiers from an user's face, has gained relevance in the recent years, as the advances in machine learning and the creation of huge public datasets have considerably improved the state-of-the-art performance. In this work we study different open-source implementations of the typical components of state-of-the-art face recognition pipelines, including face detection, feature extraction and classification, and propose a recognition system integrating the most suitable methods for their utilization in assistant robots. Concretely, for face detection we have considered MTCNN, OpenCV's DNN, and OpenPose, while for feature extraction we have analyzed InsightFace and Facenet. We have made public an implementation of the proposed recognition framework, ready to be used by any robot running the Robot Operating System (ROS). The methods in the spotlight have been compared in terms of accuracy and performance in common benchmark datasets, namely FDDB and LFW, to aid the choice of the final system implementation, which has been tested in a real robotic platform.","PeriodicalId":437507,"journal":{"name":"Proceedings of the 3rd International Conference on Applications of Intelligent Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127634746","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: 4

Low Cost Portable Diagnostic Device for Automatic Classification of the Abnormal Cardiac Sound using PGC Recording 低成本便携式PGC记录异常心音自动分类诊断装置

Proceedings of the 3rd International Conference on Applications of Intelligent Systems Pub Date : 2020-01-07 DOI: 10.1145/3378184.3378213

Abhishek Kaushal, Anjali Yadav, M. Dutta, C. Travieso-González, Luis Esteban-Hernández

{"title":"Low Cost Portable Diagnostic Device for Automatic Classification of the Abnormal Cardiac Sound using PGC Recording","authors":"Abhishek Kaushal, Anjali Yadav, M. Dutta, C. Travieso-González, Luis Esteban-Hernández","doi":"10.1145/3378184.3378213","DOIUrl":"https://doi.org/10.1145/3378184.3378213","url":null,"abstract":"Cardiovascular diseases are becoming one of the most common causes of mortality all over the world these days. Medical experts and professionals use stethoscope for proper analysis of the cardiac sound. This conventional method required a lot of and also involve medical experts. This paper presents a low cost, portable device which can automatically classified the heart condition by recording the heart sound of the patient. The device is developed in such a way that a non-medical person can use it for the purpose of initial screening of the heart condition of the patients. The proposed device is based on supervised classifier which help in identifying a recorded heart sound either as normal or abnormal heart sound. Supervised classification model is developed on the basis of discriminatory features that are extracted using cepstrum analysis of the heart sound. The proposed method has achieved an accuracy of 97% in correctly classifying a heart sound PCG signal as normal and abnormal. This make the developed device to use in dispensary for the initial screening of the patients.","PeriodicalId":437507,"journal":{"name":"Proceedings of the 3rd International Conference on Applications of Intelligent Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130248183","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