{"title":"Graph relationship discovery using Pregel computing model","authors":"J. Mojžiš, M. Laclavik","doi":"10.1109/SAMI.2015.7061876","DOIUrl":"https://doi.org/10.1109/SAMI.2015.7061876","url":null,"abstract":"Distributed computing is widely used nowdays. Its computational power and memory resources are vital for computations with large-scale datasets, which cannot be handled with a stand-alone system. Pregel is a novel graph distributed computing model, featuring vertex-centric computing, divided into a set of supersteps. In this paper we propose a new algorithm called Pregel Computing Model Algorithm for Relationship Search (PCMARS). Our algorithm is well suited for both directed and undirected graphs, where edges can be weighted and typed. Typed edges are used in RDF graph model for Big Data notion. PCMARS is able to simulate traversal in the opposite direction of the edge, it does not use additional indexing, nor does it change graph structure. We demonstrate PCMARS in our example scenario with the use of Freebase dataset and several test case graphs.","PeriodicalId":276598,"journal":{"name":"2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125058460","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":"QoS-based optimization of data flow in MPLS networks","authors":"Ivana Huckova, M. Hrubý","doi":"10.1109/SAMI.2015.7061851","DOIUrl":"https://doi.org/10.1109/SAMI.2015.7061851","url":null,"abstract":"Network resources in terms of available bandwidth are not always sufficient to provide desired quality of service, especially for real-time traffic. Network performance parameters such as delay, jitter and packet loss are significant indicators of suitability of the path for this type of traffic. To provide QoS traffic engineering methods are used. In this paper we focus on traffic engineering in MPLS networks and the question of quality of service, since it is the main reason of deploying TE. We propose an online TE server to optimize the data flow in the network and maximize the utilization of the network resources. The proposed server was implemented and experimentally tested in laboratory environment. The results prove the efficiency and optimal resource utilization in the network provided by the proposed TE server.","PeriodicalId":276598,"journal":{"name":"2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129099302","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":"Machine learning approach to point localization system","authors":"J. Zácek, M. Janošek","doi":"10.1109/SAMI.2015.7061895","DOIUrl":"https://doi.org/10.1109/SAMI.2015.7061895","url":null,"abstract":"The article introduces point localization systems in 3D Euclidean space based on neural networks. There are two models presented. The first one identified distances between a randomly generated point and a reference points in the defined domain. Then a neural network uses the obtained distances as its inputs to determine the actual position of the point in the domain space. Due to a relatively good accuracy that was obtained during the experimental study, the proposed model based on neural networks was used in the second model as an acoustic Motion Capturing system (MoCap). MoCap system is represented by a neural network that uses obtained distances between transmitters and a receiver as its inputs to determine an actual position of the receiver in space. We also propose a new way to minimize a training set by using ANFIS approach in this specific problem. All obtained results are summarized in the conclusion.","PeriodicalId":276598,"journal":{"name":"2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114490276","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":"Experimental measuring of the roughness of test samples made using DMLS technology from the titanium alloy Ti-6Al-4V","authors":"M. Schnitzer, M. Lisý, R. Hudák, J. Živčák","doi":"10.1109/SAMI.2015.7061901","DOIUrl":"https://doi.org/10.1109/SAMI.2015.7061901","url":null,"abstract":"A topic of interest related to titanium alloy Ti-6Al-4V implants is optional surface treatment. In many cases surface treatment is used for bioactivation of the implant and thereby improvement of its biocompatibility and osseointegration. An important factor of surface properties in the context of applying coatings is its roughness. This paper discusses the design of test samples (plates). It is aimed at construction and orientation due to the technological properties of direct metal laser sintering (DMLS). The resulting measured roughness values are used to evaluate the impact of the plates' location on the EOSINT M 280 platform during the sintering process.","PeriodicalId":276598,"journal":{"name":"2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133744112","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":"Learning parameter optimization of Multi-Layer Perceptron using Artificial Bee Colony, Genetic Algorithm and Particle Swarm Optimization","authors":"Zehra Gulru Cam, S. Cimen, T. Yıldırım","doi":"10.1109/SAMI.2015.7061899","DOIUrl":"https://doi.org/10.1109/SAMI.2015.7061899","url":null,"abstract":"Learning rate and momentum coefficient are critical parameters on back propagation algorithm because of their effect on learning speed and deviation ratio from global minimum. Hidden neuron number has an effect on classification accuracy, and excessive number of hidden neuron causes to increase the operation load. Because these parameters are selected randomly, finding the accurate values requires numerous trial-and-errors, and complicates the work of the designer. In this study, learning parameters (learning ratio, momentum coefficient, number of hidden neurons) optimization of Multi-Layer Perceptron (MLP) is aimed with using Artificial Bee Colony (ABC), Genetic Algorithm (GA) and Particle Swarm Optimization to prevent this situation. These optimization algorithms are based on swarm intelligence. When the optimization algorithms which are used in study are compared with each others, ABC and GA gives the best results for the Blood Transfusion Service Center and New Thyroid datasets, but PSO is the better optimization algorithm for the Mammographic Mass dataset.","PeriodicalId":276598,"journal":{"name":"2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"315 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116287956","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}
Marcela Litcanu, P. Andea, Frigura-Iliasa Flaviu Mihai
{"title":"Fuzzy logic controller for permanent magnet synchronous machines","authors":"Marcela Litcanu, P. Andea, Frigura-Iliasa Flaviu Mihai","doi":"10.1109/SAMI.2015.7061887","DOIUrl":"https://doi.org/10.1109/SAMI.2015.7061887","url":null,"abstract":"The fuzzy logic controller, FLC, it is part of the control with artificial intelligence (AI), and implies obtaining of improved signal wave forms at output and reduction of oscillations (such as output speed variation, torque variation, current variation for the three phases) comparatively with the classic control. This paper presents two cases of FLC for exterior permanent magnet synchronous machines, PMSM, (Ld=Lq), with 25 rules and with 49 rules. The FLC is developed to have less computational burden, which makes it suitable for real time implementation. The dynamic performances of permanent magnet synchronous machines opens new possibilities of large scale application of PMSM which has a high torque density, with low losses/torque ratio, high power factor and quick torque and speed response. For the real time implementation we have made reference to the digital signal processor controller board DS1104.","PeriodicalId":276598,"journal":{"name":"2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129549894","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":"Comparing genetic operators for the timetabling problem","authors":"Attila Hideg","doi":"10.1109/SAMI.2015.7061845","DOIUrl":"https://doi.org/10.1109/SAMI.2015.7061845","url":null,"abstract":"This paper describes a genetic algorithm used to solve the timetabling problem. Our approach will deal with the weekly curriculum based timetabling problem using real datasets from the University of Udine. Before proposing an algorithm we examine and compare the performance of the different genetic operators.","PeriodicalId":276598,"journal":{"name":"2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114558877","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}
V. Socha, J. Schlenker, Peter Kal'avksy, P. Kutílek, L. Socha, Stanislav Szabo, P. Smrcka
{"title":"Effect of the change of flight, navigation and motor data visualization on psychophysiological state of pilots","authors":"V. Socha, J. Schlenker, Peter Kal'avksy, P. Kutílek, L. Socha, Stanislav Szabo, P. Smrcka","doi":"10.1109/SAMI.2015.7061900","DOIUrl":"https://doi.org/10.1109/SAMI.2015.7061900","url":null,"abstract":"Psychological discomfort and stress may negatively affect various work activities especially in professions that are directly responsible for the lives and health of human beings. We can find these kinds of professions mainly in civil aviation, specifically the profession of a pilot. Analysis showed, that the legislative requirements for the qualifications of a pilot, require only the competence for a particular aircraft but they don't take in account the ergonomics of the cabin and the visualization of the basic flight data (analog, glass-cockpit). That's the reason why this paper assesses the influence of flight, navigation and engine data visualization on psychophysiological state of the pilot. In this paper we used the measuring of the heart rate as the main indicator of stress. Spectral analysis was used for the assessment of stress levels with main focus on the activity of the autonomic nervous system. The evaluation was based on twenty subjects in flight training, which were divided into two groups. Each group had different methods of training based on flight data visualization. The results show that the group with the more extensive glass-cockpit training exhibit lower values of psychophysiological stress. These findings may contribute to the increase of aviation safety and the description of human-machine interface in aviation.","PeriodicalId":276598,"journal":{"name":"2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125215708","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":"Path planning and control of differential and car-like robots in narrow environments","authors":"Á. Nagy, Gabor Csorvasi, D. Kiss","doi":"10.1109/SAMI.2015.7061856","DOIUrl":"https://doi.org/10.1109/SAMI.2015.7061856","url":null,"abstract":"This paper presents a comprehensive solution for path planning and control of two popular types of autonomous wheeled vehicles. Differentially driven and car-like motion systems are the most widespread structures among wheeled mobile robots. The planning algorithm employs a rapidly exploring random tree based global planner (RTR), which generates paths made of straight motion and in place turning primitives. Such paths can be directly followed by a differential drive robot. Carlike robots have a minimum turning radius constraint, hence we present a local steering method (C*CS) which obtains a path consisting circular and straight movements based on the primary RTR-path, without losing the existence of the solution. Additionally, a velocity profile generation algorithm is presented, which is responsible for the distribution of the time parameter along the geometric path, taking the physical limitations of the robot into account. Finally, control algorithms for path following are given for both robot types. Simulations and real experiments show the effectiveness of these methods, even is constrained environments containing narrow corridors and passages.","PeriodicalId":276598,"journal":{"name":"2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116773382","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":"Computer aided design of a new combustion engine having only rotary parts","authors":"L. Dudás","doi":"10.1109/SAMI.2015.7061892","DOIUrl":"https://doi.org/10.1109/SAMI.2015.7061892","url":null,"abstract":"The paper presents a new internal combustion engine construction. The introductory part analyses the evolution of the antecedents, first the screw compressor line, than the progressive cavity type constructions. As a consequent step of the motor evolution it describes the model of a new three dimensional rotary combustion engine that has some advantageous features relatively to the existing motors. The main advantage of the construction is its simplicity. It has only two main rotary parts, a synchronising gear and an outer housing. The motion of the gas fluid happens in axial direction. The compression and the expansion of the explosive mixture takes place in the caves formed between the rotary parts. The CAD modeling of the rotor surface as well as the internal enveloped surface of the rotary chamber was carried out with Surface Constructor spatial kinematical modeling software application.","PeriodicalId":276598,"journal":{"name":"2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130222588","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}