{"title":"Applied process mining in software development","authors":"Maria Laura Sebu, H. Ciocarlie","doi":"10.1109/SACI.2014.6840098","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840098","url":null,"abstract":"Current study uses the event process logs of a custom software development process used internally in the IT department of a large automotive company. The target is to extract hidden information about the process, difficult to identify due to the wideness and complexity of the input data. The log file contains all incident records tracked during one release of a software product. This analysis was performed using process mining techniques and tools included in ProM Framework, an academic project of the Eindhoven Technical University. The paper describes the steps followed to extract the working process model, organizational network and statistical information. Based on the obtained results, an action plan is put in practice with the scope of improving the development process and the release result.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"25 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":"123596107","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":"Identification of a linear driver model based on simulator experiments","authors":"András Mihály, P. Gáspár","doi":"10.1109/SACI.2014.6840057","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840057","url":null,"abstract":"The paper presents a driver model identification method based on simulator experiments. The visual and vestibular perception of the driver can be modeled by measuring proper signals of the vehicle motion and the environment during the real-time driving of the simulator. The parameters of different drivers are then estimated using a linear difference autoregressive model structure and least-squares estimation techniques. The aim of the identification is to describe the different driver behaviors with the parameters of a driver model with similar structure. The identified driver models are validated by simulation using the same excitation signals as in the simulator experiment and comparing the measured and simulated output of the driver. The main novelty of the paper is the identification method in which a real-time simulator is used.","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":"134425200","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":"Some results and algorithm for one-sided concept lattices with separable modifiers","authors":"P. Butka, J. Pócsová, J. Pócs","doi":"10.1109/SACI.2014.6840061","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840061","url":null,"abstract":"In this paper we provide a modification of one-sided concept lattices based on the usage of fuzzy separable modifiers. The proposed method is motivated by so-called fuzzy concept lattices with hedges and represents their slight modification. In fuzzy set theory, modifiers are often defined within the framework of linguistic variables, representing adverbs, while one-sided concept lattices provides the specific fuzzy version of data analytical method based on the approach known as Formal Concept Analysis. We define concept forming operators based on separable modifiers and we show that these operators form a Galois connection between power set of objects and fuzzy subsets of attributes. An algorithm for a creation of one-sided concept lattices with separable modifiers is also presented.","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":"129697953","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":"Mobile data acquisition towards contextual risk assessment for better disease management in diabetes","authors":"C. Cernazanu-Glavan, D. Lungeanu, S. Holban","doi":"10.1109/SACI.2014.6840088","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840088","url":null,"abstract":"Diabetes is one of the serious chronic medical conditions for which the patient's personal involvement into an adequate management of the disease is essential. This paper presents a framework to complement existing approaches in diabetes care through information technology instruments. Existing tools have been targeted at controlling the blood glucose level and generating alerts against hypo/hyper-glycaemia events, individualizing risk prediction based on epidemiological knowledge, or improving patient's education and motivation. We propose analyzing contextual data from patients, i.e. using data collected through mobile devices, on a daily basis, to uncover the implications of the life style and individual behaviour towards the risk for diabetic complications. The paper presents the rationale and the framework for this approach, rather than results from an accomplished work.","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":"134193940","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":"Fuzzy logic-based sport activity risk assessment framework optimization","authors":"E. Tóth-Laufer","doi":"10.1109/SACI.2014.6840049","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840049","url":null,"abstract":"The aim of the system presented in this paper is to assess the current risk level based on personal parameters during sport activity. In these kinds of monitoring systems the patient-specific evaluation is essential to obtain realistic result thereby making use of the system more secure. This requirement is fulfilled by the risk assessment framework published by the author and her colleagues. However, it is also equally important to obtain the accurate result in time to avoid the serious consequences. In order to address this problem in this paper the author presents some evaluation structure reduction techniques which reduce the computational need of the risk assessment. These models are the modifications of the conventional Mamdani-type inference system maintaining its advantageous properties while the computational complexity is reduced and the result is equivalent to the conventional system result.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"16 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":"126983913","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":"Company level Big Data Management","authors":"T. Orosz, I. Orosz","doi":"10.1109/SACI.2014.6840081","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840081","url":null,"abstract":"Carefully Processing enormous data in Company-level evokes new tools and methods in Enterprise Data Management. The volume of information and data increases in an exponential way, which makes strategic issues not only for individuals but also in Company-level. Typical approaches are well known for these kinds of problems. Date is stored in Databases, Data warehouses and Cloud applications. There are various well-known and appropriate solutions are ready-to-use for any of the above listed applications, but they are rarely complete at Corporation levels. Therefore, Enterprises require temporary solutions. The current article discusses the main issues together with the complete and temporary solutions for typical Data management. Effectiveness, efficiency and costs are demonstrated in different point of views, e.g. Project and Knowledge Management.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"5 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":"127929791","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":"Evaluating software maintenance processes in small software company based on fuzzy screening","authors":"Ž. Stojanov, V. Brtka, D. Dobrilović","doi":"10.1109/SACI.2014.6840037","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840037","url":null,"abstract":"Software maintenance is recognized as the most costly part of software life cycle. Evaluation of maintenance processes in order to improve planning activities is essential for increasing the efficiency of services provided to clients and the quality of software products. This paper presents a study on evaluating five typical maintenance processes in small software company. Evaluation is based on fuzzy screening procedure and includes four experts, three from the company and one from the university. Data for processes description are extracted from the internal repository of maintenance requests in the company and discretized by experts. Results of data analysis indicate that fuzzy screening is suitable technique for evaluating maintenance process, which is necessary for improving maintenance planning and management activities.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"25 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":"129675591","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}
Mihai-Ioan Popescu, D. Ungureanu-Anghel, I. Filip, E. Răduca
{"title":"Controlling a flexible manufacturing system using a centralized supervisor based on parallel composition of Petri networks","authors":"Mihai-Ioan Popescu, D. Ungureanu-Anghel, I. Filip, E. Răduca","doi":"10.1109/SACI.2014.6840055","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840055","url":null,"abstract":"The design and analysis of some algorithms for the implementation of supervisors corresponding to centralized systems using Petri networks is approached in this article. Starting from the basis of supervised control, namely, monitoring and controlling of discrete event systems via a central controller (supervisor), the paper proposes a method for supervised control using Petri net type models based on parallel composition of subsystems. To illustrate and validate the proposed method, a flexible manufacturing system based on a transport system with seven nodes is used.","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":"131119626","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":"Accurate positioning of pneumatic artificial muscle at different temperatures using LabVIEW based sliding mode controller","authors":"J. Sárosi","doi":"10.1109/SACI.2014.6840040","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840040","url":null,"abstract":"Pneumatic artificial muscles (PAMs) are difficult to control because of their highly nonlinear and time varying nature, thus robust control method is needed. Sliding mode control can be favourably used for accurate positioning of PAMs. In this paper the error of sliding mode control based positioning of a Fluidic Muscle at different temperatures is determined. The controller is developed in LabVIEW and the error of the experiments shows 0.01 mm.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"161 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":"114629993","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":"DeeDee - A mobile intelligent system able to assist a type 1 diabetic through the daily life","authors":"C. Cernazanu-Glavan, Doru Todinca, R. Precup","doi":"10.1109/SACI.2014.6840089","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840089","url":null,"abstract":"Type 1 diabetes mellitus is a chronic autoimmune disorder, an incurable disease affecting somebody's entire life. Yet, with proper care, a diabetic person can have a normal life and prevent complications. We believe technology could be a valuable helping tool, providing adequate decision support to diabetics. Our idea consists in realizing an intelligent system (DeeDee system) to assist a diabetic through the daily life, implemented on a mobile phone, a device to be carried on oneself along the day. The essence of this system is a new mechanism for glycaemia prediction. Existing mechanisms for glycaemia prediction are based on patient's continuous monitoring, i.e., the patient is placed into a controlled environment (a hospital), while our system aims to predict glycaemia and hence to help the patient through his/her everyday life. Compared to a continuous monitoring situation, in our case the amount of data obtained from the patient is much less. In order to correctly predict the value of glycaemia, our system relies on similar situation from diabetic's past. A key concept needed to ensure the functionality of the entire system is the construction and the management of diabetic's profiles. Each profile is automatically built such that it characterizes and groups similar situations from diabetic's life, i.e., how the diabetic's organism has reacted in these situations. In order to group correctly the similar situations, we need the context parameters recorded at that time moments. These parameters are continuously collected by the patient's mobile phone. This article proposes an integrated system capable to communicate with other medical equipments, having one main goal: to help a diabetic to have a better life.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"31 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":"123960231","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}