{"title":"Laboratory Evaluation and Calibration of Low-Cost Sensors for Air Quality Measurement","authors":"Marian-Emanuel Ionascu, Iasmina Gruicin, M. Marcu","doi":"10.1109/SACI.2018.8440974","DOIUrl":"https://doi.org/10.1109/SACI.2018.8440974","url":null,"abstract":"Air quality of urban areas is a key agenda item today at planetary level. Current approaches for monitoring air pollution use stationary expensive equipment which limits the spatio-temporal resolution of the measurements, making them relevant at macro-scale level. Our main goal is to validate the concept of personal air pollution monitor, where the first step is to analyze and select the most suitable sensors. In this paper we aim to investigate the feasibility of using low-cost air pollution sensors to build a personal air quality monitor, someone can use daily as a wearable device.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131037429","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}
{"title":"Comparative Study of Clustering Distance Measures to Determine Neural Network Architectures","authors":"Mohamed Lafif Tej, S. Holban","doi":"10.1109/SACI.2018.8440987","DOIUrl":"https://doi.org/10.1109/SACI.2018.8440987","url":null,"abstract":"This paper presents a comparative study of clustering distance measures to determine the architecture of a neural network. A number of different Distance Measures have been proposed to measure ‘distance’ for the cluster analysis, which will be applied on the dataset used to train the neural network. The goal of this study is to select the optimal number of clusters which depends on the best choice of clustering distance measure because the results of cluster analysis are used to determine the number of hidden layers and the number of hidden neurons. A particular criterion presented in this paper to link between the number of cluster obtained and the number of hidden layers of a neural network.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126769851","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}
{"title":"Thermal Test of Mobile Devices in Normal Use","authors":"P. J. Varga, Andras Kalecz, Zsolt Illési","doi":"10.1109/SACI.2018.8440951","DOIUrl":"https://doi.org/10.1109/SACI.2018.8440951","url":null,"abstract":"Mobile devices, such as smartphones, tablets and other wearable technologies become integral part of our everyday life. Besides software development of these devices, the used hardware is evolving rapidly. To satisfy the ever increasing requirements of the users, the manufacturers improving the system architecture and the performance of the hardware components. These complex architectures are supporting mobile gaming, online video streaming, recording videos in full HD, etc. Consequently, the performance of the today's mobile devices match with the performance of the yesterday's desktop devices. The energy consumption of these mobile devices is increase, and as a result, users can observe excessive heating in some pieces of these devices. Device designers, in an ideal situation, take into account heating, and the resulting technological issues and the inconvenient thermal-ergonomic sensation. The elevated temperature of handheld devices not only cause inconvenience, but also lead to equipment failure. This paper introduce the results of a series of initial thermal analysis of some mobile devices. Although, the tests in this paper are just the introduction of some early analysis, they are not comprehensive. In spite of this, the results highlight the need of further thermal study of the mobile devices. [1]","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127754821","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}
{"title":"Adaptive Optocoupler Degradation Compensation in Isolated Feedback Loops","authors":"György Györök, Bertalan Beszédes","doi":"10.1109/SACI.2018.8440950","DOIUrl":"https://doi.org/10.1109/SACI.2018.8440950","url":null,"abstract":"An optocoupler is an optoelectronic device, based on a light emitter and detector pair. Any degradation in the emitted light causes a change in the output of the component. This gain change is also known as CTR (current transfer ration) degradation,-although in some cases, the emitted light output actually increased over time. This phenomenon is inherent of the p-n junction electroluminescence and it is unpredictable. Excessive amount of degradation may cause a deviation from optimal operation or a catastrophic system failure. This paper puts forward a robust, microcontroller based solution for this problem.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127898302","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}
{"title":"Systemic Analysis of Credit Contracts from the Perspective of Abusive Clauses","authors":"David-Tiberiu Gruescu, L. Cismaș","doi":"10.1109/SACI.2018.8440988","DOIUrl":"https://doi.org/10.1109/SACI.2018.8440988","url":null,"abstract":"In Romania, are recorded for trial a significant number of cases resulting from the execution of credit contracts. Large part of the divergence has as source the contractual clauses regarded as abusive. The present paper refers to a systemic approach of the unfolding contractual relations regarding consumption credits, granted by bank institutions to consumers of these products with the hypothesis of judicial intervention in the contract framework. At the same time, the paper intends to put forward a model by which the activity of trial courts might be determined regarding the unfolding and improvement of the abusive contractual behaviour of one of the contracting parties.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130886946","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}
{"title":"Large-Scale Point Cloud Based Volume Analysis Acceleration Based on UAV Images","authors":"D. Stojcsics, Zsolt Domozi, A. Molnár","doi":"10.1109/SACI.2018.8440923","DOIUrl":"https://doi.org/10.1109/SACI.2018.8440923","url":null,"abstract":"Small-sized drones, either having classical fixed-wing design or the so rapidly widespread rotorcraft design, are now revolutionizing the complete work process of aerial surveys. In the paper, we will discuss the possibilities of the quality characteristics of large-scale point cloud processing, already introduced in our previous work, and primarily the reduction of the execution time of the large-point cloud processing presented in our previous work. Based on the work process developed by us, we survey the work area, typically a quarry, using UAVs, and then we create a high resolution 3D point cloud out of the pictures. Then, the time series photos are fitted to each other using the ICP algorithm and we conduct the volume analysis. In the present case, the ICP algorithm and volume calculation were very time-consuming operations, as every 3D model was made up of ~20 million points. The two leading graphics processing unit producers of the market have made the resources of the hardware available for general-purpose calculations. In this way, we can see good opportunity in the implementation of these time-consuming calculations into the target hardware.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132637249","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}
I. Borlea, R. Precup, Florin Dragan, Alexandra-Bianca Borlea
{"title":"Parallel Implementation of K-Means Algorithm Using MapReduce Approach","authors":"I. Borlea, R. Precup, Florin Dragan, Alexandra-Bianca Borlea","doi":"10.1109/SACI.2018.8441018","DOIUrl":"https://doi.org/10.1109/SACI.2018.8441018","url":null,"abstract":"The information stored in a database can be processed for finding patterns, group the records in classes of records using a criterion or extracting valuable information that is hidden between database records. The artificial intelligence domain is used to analyze big volumes of data using special algorithms designed to handle a lot of information. The time needed by a dataset analysis algorithm to process a dataset usually increases with the size of the processed dataset. Giving the fact that the hardware components have evolved in the last years, the dataset analysis algorithms can be parallelized nowadays. This paper presents a parallel implementation of the K-means clustering algorithm on a Windows based operating systems using the MapReduce approach.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130960656","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}
Eva Tuba, I. Strumberger, Ira Tuba, N. Bačanin, M. Tuba
{"title":"Water Cycle Algorithm for Solving Continuous P-Median Problem","authors":"Eva Tuba, I. Strumberger, Ira Tuba, N. Bačanin, M. Tuba","doi":"10.1109/SACI.2018.8441019","DOIUrl":"https://doi.org/10.1109/SACI.2018.8441019","url":null,"abstract":"The p-median problem can be applied in various fields, especially in operational research and supply chain management. Due to the fact that is widely used, numerous different definitions of the p-median problem can be found. Continuous, capacitated, discrete and other p-median problems are NP-hard optimization problems. In this paper water cycle algorithm was proposed for tackling continuous capacitated p-median problem. The proposed method is tested on 5 standard benchmark and 6 real world datasets. Quality of the proposed water cycle algorithm is proved by comparing it with other methods from the literature. Based on the obtained results it can be concluded that the proposed method is effective for finding the optimal solution for continuous p-median problem.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"298 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114103533","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}
{"title":"Modular and Model-Driven Configurable Approach for a Centralized Home-Security System","authors":"A. Nicolae, A. Korodi, I. Silea","doi":"10.1109/SACI.2018.8440982","DOIUrl":"https://doi.org/10.1109/SACI.2018.8440982","url":null,"abstract":"Horne-security solutions are encountered for different types of users/facilities. The usual approach divides the complete solution into several steps: the hardware equipment procurement and implementation for local detection and signaling, the local software implementation, the communication equipment and the centralized integration in a Supervisory Control and Data Acquisition (SCADA) control room. These steps require most times contractual relations with at least two companies and consequently assume imposed dependencies on hardware and software levels. The paper proposes a modular approach for the home-security solution using low-cost and popular hardware equipment on the local level and easily-configurable software application on all levels according to specific structure of the monitored space. A SCADA application is developed both for web and desktop monitoring scenarios on the central level. The proposed system is conceived to be an off the shelf and complete solution for apartments, with easy implementation by users with no programming know-how.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125193762","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}
Elena-Lorena Hedrea, R. Precup, C. Dragos, Ciprian Hedrea
{"title":"Tensor Product-Based Model Transformation Technique Applied to Modeling Vertical Three Tank Systems","authors":"Elena-Lorena Hedrea, R. Precup, C. Dragos, Ciprian Hedrea","doi":"10.1109/SACI.2018.8440924","DOIUrl":"https://doi.org/10.1109/SACI.2018.8440924","url":null,"abstract":"This paper presents the design and validation of the Tensor Product (TP) based model of vertical three tank systems laboratory equipment using the Tensor Product based model transformation technique. The TP model is designed in order to approximately mimic the behavior of the original process, but having numerical error. Finally, the behaviors of the TP model and the linearized model are compared to the laboratory equipment behavior. The experimental results show that the TP model ensures smaller lower mean square error than the linearized one.","PeriodicalId":126087,"journal":{"name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126870222","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}