Oliviu Matei

Oliviu Matei
Universitatea Tehnica Cluj-Napoca | UT Cluj

Dr. Habil.

About

89
Publications
12,507
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
609
Citations
Introduction
Oliviu Matei currently works at Universitatea Tehnica Cluj-Napoca. Oliviu does research in Artificial Intelligence.

Publications

Publications (89)
Chapter
Nowadays, swarm intelligence shows a high accuracy while solving difficult problems, including image processing problem. Image Edge detection is a complex optimization problem due to the high-resolution images involving large matrix of pixels. The current work describes several sensitive to the environment models involving swarm intelligence. The a...
Conference Paper
Async Messaging Systems tend to be ubiquitous nowadays. Their major drawback, however, lays in the limited usability with classic REST API's, that cannot be easily integrated inside such a platform, but are readily available in all major programming languages. This article proposes an alternate approach, which is the design of an Ontology Driven Se...
Article
Knowing the level of quality from which the context is no longer valuable in a Context-Aware Data Mining (CADM) system is an important information. The main goal of this research is to study the variations of the predictions in case of different levels of noise and missing context data in practical scenarios for predicting soil moisture. The resear...
Chapter
Far from being a hype, cybersecurity is one of the most important aspects of our daily lives. Gaining trust in a cyber system is not an easy task, as problems and security hazards can be willingly or unwillingly introduced in it. This paper describes a security-centric architecture of the communication bus in loosely coupled heterogeneous systems....
Article
Full-text available
Nowadays, reliable medical diagnostics from computed tomography (CT) and X-rays can be obtained by using a large number of image edge detection methods. One technique with a high potential to improve the edge detection of images is ant colony optimization (ACO). In order to increase both the quality and the stability of image edge detection, a vect...
Chapter
Evaluating the performance of high-impact components when building a solution is the process that provides an informed and fitting choice. Choosing a database system and the proper infrastructural configuration underneath it is however a process that can prove to be extremely complex. In the context of the highly volatile NewSQL database systems an...
Chapter
Nowadays there is a large spectrum of tools for implementation of data mining processes. Researchers could be put in a difficult position when having to choose a proper tool for performing the experiments they design. This paper presents an overview of some well known data mining tools and describes the implementation of the Decision Analysis Resol...
Chapter
Full-text available
In the field of cloud technology and big data a new kind of databases arose - NewSQL databases. In the meantime there are many different suppliers and databases available. In this article the most common NewSQL databases in the field of Linux OS are presented and their performance is measured and compared to each other. Therefore a data set with we...
Chapter
With the upcoming term of big data and enhancements in cloud technology a new kind of database arose - NoSQL databases. Concomitant with these new databases load processes changed from Extract-Transform-Load (ETL) to Extract-Load-Transform (ELT). Therefore new transformation tools are needed supporting the requirements of a transformation tool and...
Chapter
Full-text available
Reducing the carbon footprint of our daily activities, as a race, is one of the most important priorities that we can have today. Optimizations play a key role in this process, as just swapping one fuel with another is not enough. An important part of managing and engineering a sustainable and economical transportation system, specifically in the f...
Chapter
Full-text available
Collecting, transforming and analyzing data is seeing an all time high interest over the last few years. Due to the large amount of emerging or enhanced data management systems, as well as the high amount of differences in features and options they support, this paper is focused on reviewing the existing systems that are part of the NewSQL category...
Chapter
Full-text available
Operational data and analytical data are no longer two separate disciplines and discussions. Data Analysis is gaining more ground and more request from companies that begin to base their strategies - as well as decision intelligence and decision management - on factual information. In surveying the state of the data industry and the trends in data...
Chapter
Full-text available
With the introduction of NoSQL databases the new opportunities in the field of cloud technology like scalability and performance were utilized. In fact not NoSQL databases could not satisfy all requirements towards some applications like consistency and ACID transactions. For this reason NewSQL databases were developed - a mixture of relational dat...
Chapter
Full-text available
The article presents MELODIC/FUNCTIONIZER platform, developed to support serverless deployment. It is a complete cross-cloud, cloud-agnostic deployment platform with advanced, utility-based optimization and multi-layer and real time monitoring features. This platform exploits the modelling language CAMEL, which advances the state-of-the-art through...
Preprint
Full-text available
In the family of Intelligent Transportation Systems (ITS), Multimodal Transport Systems (MMTS) have placed themselves as a mainstream transportation mean of our time as a feasible integrative transportation process. The Global Economy progressed with the help of transportation. The volume of goods and distances covered have doubled in the last ten...
Chapter
Full-text available
This article presents an application for face recognition, which takes its video input streamed from smart glasses through an internet connection. The application resides in the cloud and uses serverless technologies. The system has been tested on a database of 1119 individuals and the results show that the classical serverfull architecture is from...
Article
Full-text available
Technical Debt (TD) interest refers to the extra maintenance costs incurred by the very existence of TD items in a system. The generation of TD interest can make or break a system: too little interest and the effect of TD is negligible; too much interest and the system becomes unsustainable. In this paper, we consider the generation of interest as...
Chapter
The focus of this research is finding out how different levels of context noise and missing data, affect the overall prediction results in a Context-Aware Data Mining (CADM) system for predicting soil moisture. Experiments were performed using more machine learning algorithms and varying the levels of noise and missing context data in realistic sce...
Chapter
Full-text available
The article presents an analysis of seven crossover operators for continuous spaces applied for Diploid Genetic algorithms (DGA). Unlike the classical ones, called in genetic “haploid” in which an individual is synonym with a chromosome, the individuals of DGA carry two chromosomes, which brings in intrinsic diversity in the population. The impact...
Article
Full-text available
In the family of Intelligent Transportation Systems (ITS), Multimodal Transport Systems (MMTS) have placed themselves as a mainstream transportation mean of our time as a feasible integrative transportation process. The Global Economy progressed with the help of transportation. The volume of goods and distances covered have doubled in the last ten...
Chapter
Full-text available
This paper makes a practical comparison between serverfull and serverless architectures for the same specific cloud application used for face recognition. It turns out that both approaches have advantages and disadvantages and their specific use needs to be carefully assessed in the design phase of the software life cycle.
Conference Paper
Full-text available
The paper aims to investigate the possibility that a local currency system becomes a source of strengthening the local economy in Baia Mare, in its objective to become sustainable and, in the long term a resilient community. Methodology/approach-As an approach, the primary qualitative observation method was used, combined with the literature review...
Article
Full-text available
The temperature of the soil at different depths is one of the most important factors used in different disciplines, such as hydrology, soil science, civil engineering, construction, geotechnology, ecology, meteorology, agriculture, and environmental studies. In addition to physical and spatial variables, meteorological elements are also effective i...
Chapter
As the society develops, the volume of criminal offences and the complexity of crimes also increases. Data mining techniques can be used to help the police departments and explore already existing data to predict for a person the potential risk of committing a criminal offence. This information, known in advance by the authorities, could lead to sm...
Article
Full-text available
Nowadays research has shown that including context-awareness, in a classic data mining (CDM) process can improve the overall results. The current work investigates the impact of context completeness and accuracy over predictive forecasting for soil moisture in a context-aware data mining (CADM) system. Experiments with different levels of noise and...
Preprint
Full-text available
The process of knowledge discovery involves nowadays a major number of techniques. Context-Aware Data Mining (CADM) and Collaborative Data Mining (CDM) are some of the recent ones. the current research proposes a new hybrid and efficient tool to design prediction models called Scenarios Platform-Collaborative & Context-Aware Data Mining (SP-CCADM)....
Article
Full-text available
The process of knowledge discovery involves nowadays a major number of techniques. Context-Aware Data Mining (CADM) and Collaborative Data Mining (CDM) are some of the recent ones. the current research proposes a new hybrid and efficient tool to design prediction models called Scenarios Platform-Collaborative & Context-Aware Data Mining (SP-CCADM)....
Article
Full-text available
A fluent economical collaboration between countries is a major need. European flows of trade and people are supported by efficient connections between main localities from a geographic region, in many cases overriding national borders. This paper introduces three traveling salesmen problem instances based on freely available geographic coordinates...
Chapter
Full-text available
The purpose of this article is to investigate whether or not including context data (context-awareness) in a classical data mining process would enhance the overall results. For that, the efficiency of the predictions was analyzed and compared: in a classical data mining process versus a context-aware data mining process. The two processes were app...
Chapter
The present article presents the research for optimizing a real-life instance of heterogeneous vehicle routing problem, used intensively by shipping companies. The experiments have been carried out on the data provided by real companies, with constrains on the number and capacity of the vehicles, minimum and maximum number of stops for each route,...
Chapter
Predictions in data mining are a difficult process but useful in various areas. The purpose of this article is to make a parallel between the classical data mining process and two new approaches in the process of data mining: collaborative data mining and context-aware data mining. Data gathered from seven meteorological stations in Transylvania se...
Chapter
Full-text available
Agriculture is one of the domains that depend on weather forecasts and which would improve its performance if some features could be predicted. Because of that, we try to define a concept that is capable of generating predictive results for temperature, based on multiple sources and use of virtual machine learning. We define collaborative approache...
Chapter
Full-text available
Incomplete data in the data mining process is a common case. In collaborative data mining, treating this case can bring better performance and results, so the study of missing data from the perspective of the collaborative data mining approach is addressed in this article. Completing missing data for research sources have been done in two ways: usi...
Article
Full-text available
In the information industry there is a huge amount of data which can be used to obtain relevant information necessary for them to be processed, cleaned and analyzed. This survey paper presents different data extraction research that can be applied in various areas. The main point is to determine a new approach and to be the starting point for new e...
Chapter
Full-text available
Genetic algorithms (GAs) are powerful tools for solving complex optimization problems, usually using a haploid representation. In the past decades, there has been a growing interest concerning the diploid genetic algorithms. Even though this area seems to be attractive, it lacks wider coverage and research in the Evolutionary Computation community....
Conference Paper
Technical Debt is a software engineering metaphor that refers to the intentional or unintentional production of software at a lower quality, to achieve business goals (e.g., shorten time to market). Nevertheless, similarly to financial debt, technical debt does not come without negative consequences. The accumulation of technical debt leads to addi...
Chapter
Full-text available
Climate change affects agriculture in many ways. Reducing the vulnerability of agricultural systems to climate change and enhancing their capacity to adapt would generate better results with fewer losses. Under the conditions, according to The United Nations Food and Agriculture Organization, the world has to produce 70% more food in 2050 than it p...
Conference Paper
Refactoring is a prevalent technique that can be applied for improving software structural quality. Refactorings can be applied at different levels of granularity to resolve ‘bad smells’ that can be identified in various artifacts (e.g., methods, classes, packages). A fundamental software engineering principle that can be applied at various levels...
Conference Paper
In order to solve combinatorial optimization problem are used mainly hybrid heuristics. Inspired from nature, both genetic and ant colony algorithms could be used in a hybrid model by using their benefits. The paper introduces a new model of Ant Colony Optimization using multiple colonies with different level of sensitivity to the ant’s pheromone....
Conference Paper
In this paper, we consider the Family Traveling Salesman Problem (FTSP), which is a variant of the classical Traveling Salesman Problem (TSP). Given a partition of the nodes into a predefined number of clusters, called families, the aim of the FTSP is to find a minimum cost tour visiting a given number of nodes from each family. We describe a novel...
Chapter
In the current paper we take a different approach to a particular capacitated two-stage fixed-charge transportation problem proposing an efficient hybrid Iterated Local Search (HILS) procedure as a means of solving the above-mentioned problem. Our approach is a heuristic one; it constructs an initial solution while using a local search procedure wh...
Article
Full-text available
In the context of the increased climate change, local weather monitoring is crucial from economic and agricultural point of view, as the classical meteo prediction schemes do not apply very precisely. Therefore, the current paper presents a data mining system capable of gathering weather data from several weather stations and predicting the moistur...
Article
Full-text available
This study was conducted to assess the spatial distribution of pollutants in stormwater runoff from four areas at Cluj-Napoca city, Romania having different land uses (commercial, industrial, low density residential and high density residential). The water samples were taken from the collection points established across each of the four sites, duri...
Article
In this paper, we are addressing the generalized minimum spanning tree problem, denoted by GMSTP, which is a variant of the classical minimum spanning tree (MST) problem. The main characteristic of this problem is the fact that the vertices of the graph are partitioned into a given number of clusters and we are looking for a minimum-cost tree spann...
Conference Paper
In this paper, we are addressing the generalized traveling salesman problem, denoted by GTSP, which is a variant of the classical traveling salesman problem (TSP). The GTSP is characterized by the fact that the vertices of the graph are partitioned into a given number of clusters and we are looking for the minimum cost tour that visits exactly one...
Conference Paper
The article presents a data mining system capable of predicting the soil moisture using local data, provided by weather stations in real time, as well as context-related, publicly available data from web portals. We have proven that the quality and quantity of context data is very important for improving the accuracy of the predictions, comparing w...
Article
Full-text available
This paper presents the study of a single-phase synchronous motor with permanent magnets (PM) using some computer programs. This motor type is used especially in household applications, and it has a low power. It is known that PM synchronous motors have a great advantage consisting in the lack of rotor losses. For this motor the starting problem ha...
Article
Full-text available
Even in homogenous soil and for simple geometrical structure the analytical design of a grounding system is a complex and not very accurate procedure. Using Finite Element Analysis (FEA) it can perform a precise design for complex grounding systems but with important hardware resources and time consumption. This paper proposes a methodology for pow...
Article
Full-text available
In this paper, we address the automated product design problem by two distinct evolutionary approaches: genetic algorithms and evolutionary ontologies. Based on the mechanisms and internal representation of each algorithm, their capabilities are different, which means that the structure and complexity of the products differs. We provide detailed de...
Conference Paper
Full-text available
The augmentation of physical devices and resources with electronics, software, sensing elements and network connectivity is a " hot topic " as confirmed also by the several research projects and activities on internet-of-things (IoT) and cyber-physical systems (CPS) research streams. It is obvious that intelligent products are taking more responsib...
Conference Paper
In order to solve combinatorial optimization problem are used mainly hybrid heuristics. Inspired from nature, both genetic and ant colony algorithms could be used in a hybrid model by using their benefits. The paper introduces a new model of Ant Colony Optimization using multiple colonies with different level of sensitivity to the ant’s pheromone....
Conference Paper
Full-text available
A large number of studies have documented the risks and dangers posed by stormwater runoff from urban areas for health, aquatic habitat and water quality. The impervious surface does not allow the infiltration, creating an increase in the peak flow and volume of stormwater runoff, reduce soil humidity, and increase the risk of flooding. The land us...
Poster
Full-text available
The aim of this study was to assess the degree of soils compaction in four different sites in terms of land use and to determine whether permeable surfaces are subjected to severe compaction. This study is justified by the fact that the soil compaction depreciates the capacity of infiltration and lead to increased stormwater runoff and related cons...
Conference Paper
The scope of this paper is to introduce two novel TSP instances based on the freely available geographic coordinates of the main cities from Spain and Portugal. We analyze in the case of the described instances the hardness, the quality of the provided solutions and the corresponding running times, using the Lin-Kernighan heuristic algorithm with d...
Article
Full-text available
In general, landscape architecture includes analysis, planning, design, administration and management of natural and artificial. An important aspect is the formation of so called sustainable landscapes that allow maximum use of the environment, natural resources and promo the sustainable restoration of ecosystems. For such purposes, a designer need...
Article
Full-text available
In general, landscape architecture includes analysis, planning, design, administration and management of natural and artificial. An important aspect is the formation of so-called sustainable landscapes that allow maximum use of the environment, natural resources and promote sustainable restoration of ecosystems. For such purposes, a designer needs...
Article
Full-text available
Nowadays manufacturers are forced to shift from their traditional product-manufacturing paradigm to the goods-services continuum by providing integrated combination of products and services. The adoption of service-based strategies is the natural consequence of the higher pressure that these companies are facing in the global markets especially due...
Article
Full-text available
Recently introduced, evolutionary ontologies rep-resent a new concept as a combination of genetic algorithms and ontologies. We have defined a new framework comprising a set of parameters required for any evolutionary algorithm, i.e. ontological space, representation of individuals, the main genetic operators such as selection, crossover, and mutat...
Article
Full-text available
Nowadays, (industrial) companies invest more and more in connecting with their clients and machines deployed to the clients. Mining all collected data brings up several technical challenges, but doing it means getting a lot of insight useful for improving equipments. We define two approaches in mining the data in the context of Industrial Internet,...
Chapter
Full-text available
The nowadays trend in product design is the creation of an ontology containing all components of a manufacturer along with their features. It is expected that a huge amount of information will be available in the near future. The problem that arises is how all these ontologies may be explored in an automatic way. And moreover, if it is possible to...
Article
Full-text available
This paper is focusing on an important transportation application encountered in supply chains, namely the capacitated two-stage fixed-charge transportation problem. For solving this complex optimization problem we described a novel hybrid heuristic approach obtained by combining a genetic algorithm based on a hash table coding of the individuals w...
Article
We present a novel approach for automatically create industrial products, namely powertrains consisting of engine, transmission and power shaft. We apply a genetic algorithm for exploring the solution space, consisting of 3000 variants, using various criteria, such as power, efficiency and rotation speed. We compare our results with the ones obtain...
Article
The paper presents the effort of the authors to minimize the computational time and resources brought in electrical machines conception, design and analyses. The proposed methodology is a mixture between Finite Element Analysis and neural network interpretation of resulting data, with important conclusions about the minimum number of inputs asked b...
Article
This paper deals with sudden short-circuit transient regimes of a three-phase salient poles synchronous generator. The three-phase, two-phase and single-phase transient short-circuits of a synchronous generator with two pole pairs, 1500 rev/s, are studied analytically, by finite elements analysis (FEA) and experimentally. Analytic study was perform...
Chapter
In this paper we introduce a new genetic operator, namely relational crossover applied to evolutionary ontologies recently defined. Also we demonstrate that the relations preserve properties like reflexivity, irreflexivity, symmetry, antisymmetry, asymmetry, transitivity after applying relational crossover operator. Applying such an operator in the...