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2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)最新文献

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Collision-Free Navigation Using Laser Scanner and Tablet Computer for an Omni-Directional Mobile Robot System with Active Casters 基于激光扫描仪和平板电脑的主动脚轮全方位移动机器人系统无碰撞导航
2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO) Pub Date : 2019-05-01 DOI: 10.1109/ICCAIRO47923.2019.00014
Jae Hoon Lee, Katsunori Tanaka, S. Okamoto
{"title":"Collision-Free Navigation Using Laser Scanner and Tablet Computer for an Omni-Directional Mobile Robot System with Active Casters","authors":"Jae Hoon Lee, Katsunori Tanaka, S. Okamoto","doi":"10.1109/ICCAIRO47923.2019.00014","DOIUrl":"https://doi.org/10.1109/ICCAIRO47923.2019.00014","url":null,"abstract":"A novel mobile system for effective object transportation was developed in this paper. By installing the proposed multiple double-wheel-type active casters to an object, the system itself becomes an omni-directional mobile robot that can be controlled with a tablet computer in a teleoperation manner. Each active caster was designed as an independent module having a micro-computer to control motors of both wheels; a Bluetooth communication component to connect with a tablet computer; a battery as a power source and so on. The operator's command for the desired motion of the main platform is transformed into an appropriate velocity command for each wheel based on the kinematic relationship between the object and the wheel coordinates. Collision avoidance navigation algorithm with a laser scanner attached to the object and a user interface with a tablet computer are also proposed for safe usage in real fields. The developed system and the collision avoidance algorithm were demonstrated through experiments.","PeriodicalId":297342,"journal":{"name":"2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127689114","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
On Certain Properties of Vague Relational Databases 模糊关系数据库的若干性质
2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO) Pub Date : 2019-05-01 DOI: 10.1109/ICCAIRO47923.2019.00038
Dženan Gušić, Z. Šabanac, Sanela Nesimović
{"title":"On Certain Properties of Vague Relational Databases","authors":"Dženan Gušić, Z. Šabanac, Sanela Nesimović","doi":"10.1109/ICCAIRO47923.2019.00038","DOIUrl":"https://doi.org/10.1109/ICCAIRO47923.2019.00038","url":null,"abstract":"This paper represents a natural continuation of our previous study. In our earlier research we proved that the inclusive inference rule and the union inference rule for new vague functional dependencies are sound, and sketched a proof of the fact that the set of the main inference rules is a complete set. In the present paper we rigorously prove that: reflexive, augmentation, transitivity, pseudo-transitivity, and decomposition inference rules are also sound. Some additional insights in completeness of the main inference rules are also provided.","PeriodicalId":297342,"journal":{"name":"2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128027533","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
Introducing CrowdMapping: A Novel System for Generating Autonomous Driving Aiding Traffic Network Databases CrowdMapping:一种辅助自动驾驶交通网络数据库生成的新系统
2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO) Pub Date : 2019-05-01 DOI: 10.1109/ICCAIRO47923.2019.00010
M. Szántó, L. Vajta
{"title":"Introducing CrowdMapping: A Novel System for Generating Autonomous Driving Aiding Traffic Network Databases","authors":"M. Szántó, L. Vajta","doi":"10.1109/ICCAIRO47923.2019.00010","DOIUrl":"https://doi.org/10.1109/ICCAIRO47923.2019.00010","url":null,"abstract":"High definition maps of the road networks and the roads' environment have proven to be utterly useful for autonomous driving. Such maps can prove to be useful for the autonomous vehicle for numerous purposes - e.g. preliminary route planning, danger preparation and avoidance, etc. However, producing sufficient data for such maps can be costly because of the high variability of road conditions in the time domain and depending on the load of the elements of the given piece of transport infrastructure - i.e. road loads. In this paper, the CrowdMapping architecture is introduced, which presents a novel framework developed for the generation of an extensive and high definition road database, exploiting the opportunities offered by crowdsourcing, image processing, and cloud computing. State-of-the-art research is presented in the fields related to the development of the functions of the CrowdMapping framework. The currently ongoing research and development activities linked to CrowdMapping carried out at the Budapest University of Technology and Economics are also listed in chapter III. of this paper, as well as the future work possibilities, which are listed in chapter IV.","PeriodicalId":297342,"journal":{"name":"2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116951472","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: 6
Forecasting Corporate Revenue by Using Deep-Learning Methodologies 利用深度学习方法预测公司收入
2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO) Pub Date : 2019-05-01 DOI: 10.1109/ICCAIRO47923.2019.00026
Kostadin Mishev, Ana Gjorgjevikj, I. Vodenska, Ljubomir T. Chitkushev, W. Souma, D. Trajanov
{"title":"Forecasting Corporate Revenue by Using Deep-Learning Methodologies","authors":"Kostadin Mishev, Ana Gjorgjevikj, I. Vodenska, Ljubomir T. Chitkushev, W. Souma, D. Trajanov","doi":"10.1109/ICCAIRO47923.2019.00026","DOIUrl":"https://doi.org/10.1109/ICCAIRO47923.2019.00026","url":null,"abstract":"In the past few years, deep learning evolved into a powerful machine learning technique, which uses multiple layers for feature representation to learn specific attitudes of the raw input data, in order to produce state of the art prediction results. Deep learning has become popular in many application domains which use rich variety of data. Large volumes of online business news provide an opportunity to explore various aspects of companies. Sentiment analysis of text establishes a new viewpoint of large scale data identifying, among other features, the tone of the author towards the subject of the text. Hence, the sentiment of news articles offers an insight into the internal state of the company, potential for revenue growth, and it can be useful for corporate decision making of the company. In this paper, we demonstrate a deep convolution LSTM neural network that uses a fusion of data including company stock price and sentiment of company-related news articles as time-series, in order to predict the revenue growth or decline of the companies belonging to the Dow Jones Industrial Average. Additionally, we present a method based on transfer learning for sentiment analysis of news articles related to finances, and compare this method with standard statistical sentiment analysis approaches.","PeriodicalId":297342,"journal":{"name":"2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116729211","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: 7
Surface Roughness Optimization of Poly-Jet 3D Printing Using Grey Taguchi Method 基于灰色田口法的Poly-Jet 3D打印表面粗糙度优化
2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO) Pub Date : 2019-05-01 DOI: 10.1109/ICCAIRO47923.2019.00041
K. Aslani, F. Vakouftsi, John (Ioannis) D. Kechagias, N. Mastorakis
{"title":"Surface Roughness Optimization of Poly-Jet 3D Printing Using Grey Taguchi Method","authors":"K. Aslani, F. Vakouftsi, John (Ioannis) D. Kechagias, N. Mastorakis","doi":"10.1109/ICCAIRO47923.2019.00041","DOIUrl":"https://doi.org/10.1109/ICCAIRO47923.2019.00041","url":null,"abstract":"In the current study, the surface finish of specimens fabricated with PolyJet 3D Printing Direct process is discussed. Three surface roughness indicators were measured at three positions, while three process parameters namely layer thickness, build style and scale were examined. An L4 orthogonal array was employed for the design of experiments. Grey-Taguchi method was applied in order to optimize all surface roughness parameters. The effect of each parameter has been investigated using ANOM (Analysis of Means), while ANOVA (Analysis of Variances) has been performed to identify each parameter importance onto the surface texture. Additionally, the findings of this study were compared with the results of a similar optimization study conducted before, using the usual Taguchi method. It was concluded that 16 µm of layer thickness and glossy style provide the optimum surface roughness results, while built style is the most dominant factor. All the results of the Grey Taguchi method are compatible with the ones of the usual Taguchi method.","PeriodicalId":297342,"journal":{"name":"2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115424027","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: 16
Motion Based Masking of a Moving Vehicle's Environment 基于运动掩蔽的移动车辆环境
2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO) Pub Date : 2019-05-01 DOI: 10.1109/ICCAIRO47923.2019.00013
Tamás Mészégető, Benedek Tass, M. Szántó
{"title":"Motion Based Masking of a Moving Vehicle's Environment","authors":"Tamás Mészégető, Benedek Tass, M. Szántó","doi":"10.1109/ICCAIRO47923.2019.00013","DOIUrl":"https://doi.org/10.1109/ICCAIRO47923.2019.00013","url":null,"abstract":"The problem of autonomous vehicle navigation requires the use of high-definition and well-maintained maps. Such a map can be constructed using the method developed for the so-called CrowdMapping architecture. This paper proposes a method for constructing masks for such map creation purposes via segmenting dynamic and static regions of an image sequence. The segmentation is performed by comparing a calculated and a predicted optical flow field. The proposed segmentation algorithm contains a single image depth estimation part for predicting the expected optical flow field. The comparison method of the two flow fields is also presented in this paper. The proposed method has been evaluated both qualitatively and quantitatively using the KITTI vision dataset, and achieved a filtering error of 7…12% compared to manually prepared ground truth images.","PeriodicalId":297342,"journal":{"name":"2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127044982","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
Accurate Object Detection System on HoloLens Using YOLO Algorithm 基于YOLO算法的全息透镜精确目标检测系统
2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO) Pub Date : 2019-05-01 DOI: 10.1109/ICCAIRO47923.2019.00042
Haythem Bahri, D. Krčmařík, J. Kočí
{"title":"Accurate Object Detection System on HoloLens Using YOLO Algorithm","authors":"Haythem Bahri, D. Krčmařík, J. Kočí","doi":"10.1109/ICCAIRO47923.2019.00042","DOIUrl":"https://doi.org/10.1109/ICCAIRO47923.2019.00042","url":null,"abstract":"We demonstrate in our paper, an implementation on Microsoft HoloLens, deep learning supported in the context of object detection. The main aim of this system is to create the more accurate object detection model for Augmented Reality using communication between the deep learning processing and the Microsoft HoloLens as Input/Output device. This system aims to help the wearable device user to detect and to recognize between objects in real world. For the object detection approach, a deep learning model has been used for the implementation of this system called YOLO. This model is near to real-time and it supports to detect more than 9000 objects. Our system provides the annotation of augmented object detected and its limitation area or bounding box via HoloLens. It allows to detect the new position of moving object in a few milliseconds. Preliminary results show a great rate of object detection with a detection time comparable.","PeriodicalId":297342,"journal":{"name":"2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124171746","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: 19
Development Methodology of Reconfigurable Robotic Systems. Application to BROS Project 可重构机器人系统的开发方法。申请BROS项目
2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO) Pub Date : 2019-05-01 DOI: 10.1109/ICCAIRO47923.2019.00025
Mohamed Oussama Ben Salem, O. Mosbahi
{"title":"Development Methodology of Reconfigurable Robotic Systems. Application to BROS Project","authors":"Mohamed Oussama Ben Salem, O. Mosbahi","doi":"10.1109/ICCAIRO47923.2019.00025","DOIUrl":"https://doi.org/10.1109/ICCAIRO47923.2019.00025","url":null,"abstract":"This research paper proposes a methodology to develop reconfigurable robotic systems. This methodology aims at guaranteeing the safety of such systems from their design to their implementation, and passing through verification. We apply the contribution to BROS (Browser-based Reconfigurable Orthopedic Surgery), a real robotic system.","PeriodicalId":297342,"journal":{"name":"2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122203836","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
Fluid Flow Sensors Design Based on Electromagnetic Drag Effect 基于电磁阻力效应的流体流量传感器设计
2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO) Pub Date : 2019-05-01 DOI: 10.1109/ICCAIRO47923.2019.00017
K. Zeyde, V. Sharov
{"title":"Fluid Flow Sensors Design Based on Electromagnetic Drag Effect","authors":"K. Zeyde, V. Sharov","doi":"10.1109/ICCAIRO47923.2019.00017","DOIUrl":"https://doi.org/10.1109/ICCAIRO47923.2019.00017","url":null,"abstract":"In this paper, we describe the possibility of establishing the effect of electromagnetic drag on the microwave range. We are conducting an initial study of the use of this effect for novel fluid flow sensors designing. Two different experimental stands on circular and rectangular waveguides are considered. The study is carried out using a vector network analyzer at frequencies of 8-12 GHz (X-band). Distilled water is used as a moving medium. The experiment is optimized on the basic parameters (including the temperature of the liquid) to obtain the maximum magnitude of the target observation effect. As an optimization criterion, the difference of the arrival phase of two coherent waves propagating in identical media is used, one of which has a translational motion, and the second is at rest. In conclusion, findings are presented describing the main optimization results. The principle of detecting the effect of drag on guided waves in the transmission lines is set. As a sensor test experiment, a scheme using a signal analyzer is provided.","PeriodicalId":297342,"journal":{"name":"2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130489037","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
Artificial Intelligence in Audit and Accounting: Development, Current Trends, Opportunities and Threats - Literature Review 人工智能在审计和会计:发展，当前趋势，机遇和威胁-文献综述
2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO) Pub Date : 2019-05-01 DOI: 10.1109/ICCAIRO47923.2019.00031
Aneta Zemánková
{"title":"Artificial Intelligence in Audit and Accounting: Development, Current Trends, Opportunities and Threats - Literature Review","authors":"Aneta Zemánková","doi":"10.1109/ICCAIRO47923.2019.00031","DOIUrl":"https://doi.org/10.1109/ICCAIRO47923.2019.00031","url":null,"abstract":"The aim of this paper is to analyze the current situation regarding artificial intelligence in audit and accounting, including the newest trends, opportunities and threats. Due to its innovative character, this field is constantly changing, with the biggest companies investing enormous amounts of capital to achieve wide use of artificial intelligence in audit and accounting. One of the main goals of the paper is to provide an analysis of audit tasks that benefit from artificial intelligence implementation, with an emphasis on risk assessment. Another goal is to outline artificial intelligence technologies used in audit and accounting. The most practical purpose of the paper is to evaluate the current applications and audit tools developed by Big4 companies, the four leading consulting companies in audit and accounting. The results of the paper include overview of seven essential audit tasks proving the significance of using artificial intelligence in accounting and audit process. The research also confirmed that the technologies most commonly used are genetic algorithms and programming, fuzzy systems, neural networks and hybrid systems, the combination of the aforementioned technologies, with the synthesis of expert systems and neural networks proven to be the most successful. Finally, the practical result of this paper is a summary of the Big4 latest developed artificial intelligence tools and innovations, mainly for audit planning, benchmarking and documents analysis.","PeriodicalId":297342,"journal":{"name":"2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129724711","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: 9
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