{"title":"Multi-Valued Neuron with a periodic activation function - learning with negative examples","authors":"M. LupeaV., C. Cernazanu-Glavan","doi":"10.1109/SACI.2014.6840067","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840067","url":null,"abstract":"The efficiency of Multi-Value Neuron and Multi-value Neuron with a periodic activation function are well presented in literature. Using these types of neurons, highly non-linear problems can be solved using a single neuron and not a multi-layer Neural Network (NN). On the other hand, using negative example during learning was shown to increase the overall efficiency. This paper brings these concepts together.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134416653","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":"Auditing cloud computing migration","authors":"G. Mateescu, Marius Vladescu, V. Sgârciu","doi":"10.1109/SACI.2014.6840073","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840073","url":null,"abstract":"This paper presents a tool used to audit the cloud adoption within a company. The first section states the main advantages of the cloud computing environment together with its biggest challenges that can introduce significant risks within a company. In order to assess properly the cloud computing adoption, we developed a web based tool that assists the internal auditor in the pre-migration process. Section II describes in details the Migration Assessment Tool (MAT). Starting with its architecture, we presented the main objects manipulated by our application in order to implement a cloud adoption assessment. In order to compute the impact, we classified the questions in different domains and we defined the dependencies between the questions. At the end of section II, we presented the process implemented in MAT when assessing a cloud migration. The paper ends with conclusions that state the main benefits of our approach and future improvements for MAT.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133927249","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":"Temperature modeling and simulation of the asphaltic emulsion in an industrial tank","authors":"V. Muresan, M. Abrudean, T. Colosi","doi":"10.1109/SACI.2014.6840068","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840068","url":null,"abstract":"In this paper, a solution for the modeling-simulation of the temperature propagation phenomenon in the asphaltic emulsion from an industrial tank is presented. The heating process of the asphaltic emulsion is a distributed parameter one, its model being expressed using a partial differential equation. The modeling-simulation procedure is based on the matrix of partial derivatives of the state vector (Mpdx) associated with Taylor series. Some suggestive 2D and 3D graphical representations are presented in order to show the temperature distribution inside the tank. Also, a solution for the designing of the emulsion's temperature control system is proposed in the end of the paper.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134456568","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":"Swarm-based optimizations in hexapod robot walking","authors":"I. Kecskés, E. Burkus, P. Odry","doi":"10.1109/SACI.2014.6840048","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840048","url":null,"abstract":"During previous research [1-7] and development several hexapod walking robots and its simulation model were built by the authors. The latest model called Szabad(ka)-II is a complex, servo motor driven, multiprocessor device. In parallel with the building of this hexapod robot, a simulation model was also built in order to help optimize the robot's structure, walking and driving [5]. The results of modeling and parameter optimizations can be used as a guideline during the design of a new and improved robot. The Particle Swarm Optimization (PSO) method was chosen because its simplicity and effectiveness [1, 2]. It has produced better and faster results compared to previously used Genetic Algorithm (GA) [3]. However, neither selected method is able to provide the global optimum in the case of one-time run. Using an optimization benchmark disclose the differences and help to get the best parameterized optimization method for a given problem.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131350603","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}
A. Stînean, S. Preitl, R. Precup, Marius-Florin Crainic
{"title":"Study on experimental plant of positioning control solutions for processes with variable moment of inertia","authors":"A. Stînean, S. Preitl, R. Precup, Marius-Florin Crainic","doi":"10.1109/SACI.2014.6840095","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840095","url":null,"abstract":"The paper presents a study on the behavior of some positioning control solutions for an electric drive system evolving in conditions of reference and parameter variability. The main variable parameter of the process is the moment of inertia in the context of a system that corresponds to laboratory equipment. The main advantages of the laboratory equipment are the possibility of adjusting the dynamic parameters and the ability to insert and remove the non-ideal properties in a controlled manner. Using a detailed mathematical model of the process and the particular features of the drive system, the paper proposes three control solutions. The developed position controllers are: (1) a classical PID controller, (2) a two-degree-of-freedom controller (2DOF) and (3) a Takagi-Sugeno PD+I fuzzy controller (TS-PD+I-FC). The proposed control solutions are validated by means of experiments on laboratory equipment and have a large applicability in the field of mechatronic systems, where such applications with variable inertia and control system inputs are always present.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121306669","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":"MuSeNet: Natural patterns in the music artists industry","authors":"Gabriel Barina, Alexandru Topîrceanu, M. Udrescu","doi":"10.1109/SACI.2014.6840084","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840084","url":null,"abstract":"Motivated by the constantly growing interest and real-world applicability shown in social networks, we model and analyze the network formed by music artists all around the world, which we call MuSeNet. Inspired by a similar landmark approach in actors' network, we compare our analytical results with the generic Facebook friendship model and with the IMDB network of Hollywood actors. We are the first to create such a network, and by using centrality measures we discover that the most influential node in MuSeNet - the Kevin Bacon of music - is the vocal artist and producer Dave Grohl. In light of current advances in social networks, we also highlight the importance of music producers in terms of meritocracy versus topological positioning. Finally, we show that MuSeNet has a characteristic sociability - a measure which is introduced in this paper - in comparison with other empirical networks.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124054710","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}
Florica Balog, H. Ciocarlie, M. Babescu, D. Petrescu
{"title":"Maximizing the captured energy of a wind system","authors":"Florica Balog, H. Ciocarlie, M. Babescu, D. Petrescu","doi":"10.1109/SACI.2014.6840078","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840078","url":null,"abstract":"This paper shows the original methods to estimate the maximum energy of a wind system that operate at variable wind speed. The fundamental problem in any control system is the knowledge of rotation speed value for that the captured energy is maximal.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129018362","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":"Comparison of modified Smith predictor and PID controller tuned by genetic algorithms for greenhouse climate control","authors":"E. H. Gurban, G. Andreescu","doi":"10.1109/SACI.2014.6840039","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840039","url":null,"abstract":"This paper develops a solution for greenhouse climate control employing a modified Smith predictor. For the well-known greenhouse climate model with dead-time, having high nonlinearities and strong coupling, a feedback-feedforward linearization & decoupling method employing measured disturbances is used. The equivalent process has an integrator plus dead time (IPDT) behavior. The undelayed process outputs, mandatory required in the linearized & decoupled method, are obtained by using a process internal model. A modified Smith predictor is employed to control the equivalent process that uses in its structure the same process internal model. The control system performances with two fitted controller types, i.e., the modified Smith predictor and a PID controller tuned by genetic algorithms, are analyzed and compared in nominal case and with parameter variations for robustness test.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126497369","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":"HVAC elements modeling and implementation for net-zero energy building applications","authors":"C. Szász","doi":"10.1109/SACI.2014.6840060","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840060","url":null,"abstract":"It is well known that rising energy prices have lead scientists to focus a special attention over resident or commercial building energy efficiency. Recent advances in digital technologies also encourage the development of a wide range of HVAC (Heating, Ventilation and Air Conditioning) automation systems for “net-zero energy building” strategies implementation. In topic with these emerging trends, this paper presents the modeling and software implementation research efforts of several HVAC elements, as basic components of a specially conceived “intelligent house” at Debrecen University. These components have been designed to overcome same of the actually existing deficiencies and emptiness in the HVAC systems modeling and simulation processes. Their original models have been implemented as novel VI (Virtual Instruments) by using the graphical oriented LabView software toolkit. Beside the elaborated mathematical models concrete software implementation examples are provided in the paper. These models are suited to become a useful software toolkit for implementing HVAC systems for net-zero energy building approaches, offering a feasible solution for future developments and research.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129082602","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":"G-code optimization algorithm and its application on Printed Circuit Board drilling","authors":"Razvan-Mihai Aciu, H. Ciocarlie","doi":"10.1109/SACI.2014.6840096","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840096","url":null,"abstract":"Computer Numerical Controlled (CNC) machines are more and more used for a variety of tasks such as milling, drilling, lathing, etc. As many CNCs are programmed using G-Code, it is of great interest for this code to be close to the optimum, taking into consideration different metrics such as the total path length covered by the CNC head during the machining process or the total machining time. We propose an algorithm to optimize a large class of G-Codes, by reducing the total path length. As most of the machining operations require translations, our algorithm is applicable for many processes. In this paper we describe the algorithm and demonstrate its performance in the specific case of Printed Circuit Boards (PCB) drilling.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"181 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133138440","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}