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Search results for: DECISION-MAKING ALGORITHM

Search results for: DECISION-MAKING ALGORITHM

  • Analiza decyzyjna/Decision analysis

    e-Learning Courses
    • B. Woliński

  • Smart Embedded Systems with Decisional DNA Knowledge Representation

    Publication

    - Year 2020

    Embedded systems have been in use since the 1970s. For most of their history embedded systems were seen simply as small computers designed to accomplish one or a few dedicated functions; and they were usually working under limited resources i.e. limited computing power, limited memories, and limited energy sources. As such, embedded systems have not drawn much attention from researchers, especially from those in the artificial...

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  • Dominik Jasiński dr

    People

    Dominik Jasiński is an alumni of International Engineering Doctorate programme completed in the UK at the Warwick Manufacturing Group, faculty of the University of Warwick. He received his Engineering Doctorate degree in 2019 in sustainable materials and sustainable manufacturing. His doctorate project was sponsored by EPSRC and Jaguar Land Rover and the aim of which was to investigate how large manufacturing organisation in the...

  • Evolving neural network as a decision support system — Controller for a game of “2048” case study

    Publication

    The paper proposes an approach to designing the neuro-genetic self-learning decision support system. The system is based on neural networks being adaptively learned by evolutionary mechanism, forming an evolved neural network. Presented learning algorithm enables for a selection of the neural network structure by establishing or removing of connections between the neurons, and then for a finding the beast suited values of the network...

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  • Self-stabilizing algorithm for edge-coloring of graphs

    Referat ten poświęcony jest kolorowaniu grafów w modelu rozproszonym.Podano samostabilizujący się algorytm kolorowania krawędzi grafu wraz z dowodem poprawności oraz oszacowaniem jego czasu działania.

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  • Selection of derivatisation agents for chlorophenols determination with multicriteria decision analysis

    Publication

    The paper shows very systematic method of selection of derivatisation agents for a given group of analytes. In this study 8 derivatisation agents are assessed for their capability to derivatise 8 chlorophenols. Multicriteria decision analysis is used to combine many objectives of derivatisation agents selection into single, easy to be interpreted numerical value. Three basic analyses were performed to obtain rankings with the aims...

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  • Decision Analysis

    Journals

    ISSN: 1545-8490 , eISSN: 1545-8504

  • DECISION SCIENCES

    Journals

    ISSN: 0011-7315 , eISSN: 1540-5915

  • MANAGEMENT DECISION

    Journals

    ISSN: 0025-1747 , eISSN: 1758-6070

  • THEORY AND DECISION

    Journals

    ISSN: 0040-5833 , eISSN: 1573-7187

  • Adversarial attack algorithm for traffic sign recognition

    Publication

    - MULTIMEDIA TOOLS AND APPLICATIONS - Year 2022

    Deep learning suffers from the threat of adversarial attacks, and its defense methods have become a research hotspot. In all applications of deep learning, intelligent driving is an important and promising one, facing serious threat of adversarial attack in the meanwhile. To address the adversarial attack, this paper takes the traffic sign recognition as a typical object, for it is the core function of intelligent driving. Considering...

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  • Interactive Information Retrieval Algorithm for Wikipedia Articels

    Publication

    - Year 2012

    The article presents an algorithm for retrieving textual information in documents collection. The algorithm employs a category system that organizers the repository and using interaction with user improves search precision. The algorithm was implemented for simple English Wikipedia and the first evaluation results indicates the proposed method can help to retrieve information from large document repositories.

  • New Indoor Positioning Algorithm for Distance Measurements

    Publication

    - Year 2017

    In the paper a new indoor positioning algorithm is presented. This algorithm takes into account selected features of radio wave propagation in indoor environment. This results in improvement in accuracy of calculated position estimates. A comparative analysis of this new algorithm with Chan and Foy algorithms was made and described in the paper. This comparative analysis was made with utilization of real radio distance measurements.

  • An Approximation of the Zero Error Capacity by a Greedy Algorithm

    Publication

    - Year 2020

    We present a greedy algorithm that determines a lower bound on the zero error capacity. The algorithm has many new advantages, e.g., it does not store a whole product graph in a computer memory and it uses the so-called distributions in all dimensions to get a better approximation of the zero error capacity. We also show an additional application of our algorithm.

  • An Approximation of the Zero Error Capacity by a Greedy Algorithm.

    Publication

    - Year 2020

    We present a greedy algorithm that determines a lower bound on the zero error capacity. The algorithm has many new advantages, e.g., it does not store a whole product graph in a computer memory and it uses the so-called distributions in all dimensions to get a better approximation of the zero error capacity. We also show an additional application of our algorithm.

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  • Evolutionary algorithm and decisional DNA for multiple travelling salesman problem

    Publication

    - NEUROCOMPUTING - Year 2014

    In the real world, it is common to face optimization problems that have two or more objectives that must be optimized at the same time, that are typically explained in different units, and are in conflict with one another. This paper presents a hybrid structure that combines set of experience knowledge structures (SOEKS) and evolutionary algorithms, NSGA-II (Non-dominated Sorting Genetic Algorithm II), to solve multiple optimization...

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  • Termination functions for evolutionary path planning algorithm

    Publication

    In this paper a study of termination functions (stop criterion) for evolutionary path planning algorithm is presented. Tested algorithm is used to determine close to optimal ship paths in collision avoidance situation. For this purpose a path planning problem is defined. A specific structure of the individual path and fitness function is presented. For the simulation purposes a close to real tested environment is created. Five...

  • Comparison of new position estimation algorithm for indoor environment

    Publication

    In the paper a new position estimation algorithm based on distance measurements is presented. This algorithm is dedicated for indoor environments. In the paper the new algorithm is compared with Chan algorithm. For the comparison were used real measurements conducted inside a building.

  • Superresolution algorithm to video surveillance system

    Publication

    - Year 2010

    An application of a multiframe SR (superresolution) algorithm applied to video monitoring is described. The video signal generated by various types of video cameras with different parameters and signal distortions which may be very problematic for superresolution algorithms. The paper focuses on disadvantages in video signal which occur in video surveillance systems. Especially motion estimation and its influence on superresolution...

  • Quantitative Storytelling in the Making of a Composite Indicator

    Publication

    - Social Indicators Research - Year 2020

    The reasons for and against composite indicators are briefly reviewed, as well as the available theories for their construction. After noting the strong normative dimension of these measures—which ultimately aim to ‘tell a story’, e.g. to promote the social discovery of a particular phenomenon, we inquire whether a less partisan use of a composite indicator can be proposed by allowing more latitude in the framing of its construction....

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  • Making agile retrospectives more awesome

    Publication

    According to the textbook [23], Scrum exists only in its entirety, where every component is essential to Scrum’s success. However, in many organizational environments some of the components are omitted or modified in a way that is not aligned with the Scrum guidelines. Usually, such deviations result in missing the full benefits of Scrum [24]. Thereby, a Scrum process should be frequently inspected and any deviations should be...

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  • Organic syntheses greenness assessment with multicriteria decision analysis

    Green chemistry requires a metrics system that is comprehensive by the criteria included and simple in the application at the same time. We propose the application of multicriteria decision analysis for com- parative greenness assessment of organic synthesis procedures. The assessment is based on 9 criteria (the reagent, reaction efficiency, atom economy, temperature, pressure, synthesis time, solvent, catalyst and reactant) for...

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  • Interactive Query Expansion with the Use of Clustering by Directions Algorithm

    This paper concerns Clustering by Directions algorithm. The algorithm introduces a novel approach to interactive query expansion. It is designed to support users of search engines in forming web search queries. When a user executes a query, the algorithm shows potential directions in which the search can be continued. This paper describes the algorithm and it presents an enhancement which reduces the computational complexity of...

  • Information Retrieval with the Use of Music Clustering by Directions Algorithm

    Publication

    - Year 2013

    This paper introduces the Music Clustering by Directions (MCBD) algorithm. The algorithm is designed to support users of query by humming systems in formulating queries. This kind of systems makes it possible to retrieve songs and tunes on the basis of a melody recorded by the user. The Music Clustering by Directions algorithm is a kind of an interactive query expansion method. On the basis of query, the algorithm provides suggestions...

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  • Ontology clustering by directions algorithm to expand ontology queries

    Publication

    - Year 2009

    This paper concerns formulating ontology queries. It describes existing languages in which ontologies can be queried. It focuses on languages which are intended to be easily understood by users who are willing to retrieve information from ontologies. Such a language can be, for example, a type of controlled natural language (CNL). In this paper a novel algorithm called Ontology Clustering by Directions is presented. The algorithm...

  • Evaluation of Decision Fusion Methods for Multimodal Biometrics in the Banking Application

    Publication

    An evaluation of decision fusion methods based on Dempster-Shafer Theory (DST) and its modifications is presented in the article, studied over real biometric data from the engineered multimodal banking client verification system. First, the approaches for multimodal biometric data fusion for verification are explained. Then the proposed implementation of comparison scores fusion is presented, including details on the application...

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  • Lexicon Based Algorithm for Domain Ontology Merging and Alignment

    Publication

    More and more systems contain some kind of knowledge describing their field of operation. Such knowledge in many cases is stored as an ontology. A need arises for ability to quickly match those ontologies to enable interoperability of such systems. The paper presents a lexicon based algorithm for merging and aligning of OWL ontologies. The proposed similarity levels are being presented and the proposed algorithm is being described....

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  • Benchmark of the traffic congestion in electrical transport by means of multi criteria decision analysis

    Publication

    - Przegląd Elektrotechniczny - Year 2013

    Congestion of the road traffic is an important aspect related to the issues of energy consumption in public transport. Due to the multiattribute nature, the expression of traffic congestion in a quantitative valueis difficult to achieve. The article presents a method of estimation of traffic congestion by means of a multiattribute decision analysis.

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  • DEVELOPMENT OF THE ALGORITHM OF POLISH LANGUAGE FILM REVIEWS PREPROCESSING

    The algorithm and the software for conducting the procedure of Preprocessing of the reviews of films in the Polish language were developed. This algorithm contains the following steps: Text Adaptation Procedure; Procedure of Tokenization; Procedure of Transforming Words into the Byte Format; Part-of-Speech Tagging; Stemming / Lemmatization Procedure; Presentation of Documents in the Vector Form (Vector Space Model) Procedure; Forming...

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  • Clonal selection algorithm for vehicle routing

    Publication

    - Year 2008

    Over the years several successful computing techniques have been inspired by biological mechanisms. Studies of the mechanisms that allow the immune systems of vertebratesto adapt and learn have resulted in a class of algorithms called artificial immune systems. Clonal selection is a process that allows lymphocytes to launch a quick response to known pathogens and to adapt to new, previously unencountered ones. This paper presents...

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  • Distributed Evolutionary Algorithm for Path Planning in Navigation Situation

    This article presents the use of a multi-population distributed evolutionary algorithm for path planning in navigation situation. The algorithm used is with partially exchanged population and migration between independently evolving populations. In this paper a comparison between a multi-population and a classic single-population algorithm takes place. The impact on the ultimate solution has been researched. It was shown that using...

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  • Context Search Algorithm for Lexical Knowledge Acquisition

    Publication

    - CONTROL AND CYBERNETICS - Year 2012

    A Context Search algorithm used for lexical knowledge acquisition is presented. Knowledge representation based on psycholinguistic theories of cognitive processes allows for implementation of a computational model of semantic memory in the form of semantic network. A knowledge acquisition using supervised dialog templates have been performed in a word game designed to guess the concept a human user is thinking about. The game,...

  • Graphs hard-to-process for greedy algorithm MIN

    Publication

    We compare results of selected algorithms that approximate the independence number in terms of the quality of constructed solutions. Furthermore, we establish smallest hard- to-process graphs for the greedy algorithm MIN.

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  • Single and Series of Multi-valued Decision Diagrams in Representation of Structure Function

    Publication

    - Year 2022

    Structure function, which defines dependency of performance of the system on performance of its components, is a key part of system description in reliability analysis. In this paper, we compare two approaches for representation of the structure function. The first one is based on use of a single Multi-valued Decision Diagram (MDD) and the second on use of a series of MDDs. The obtained results indicate that the series of MDDs...

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  • Impact of Initial Population on Evolutionary Path Planning Algorithm

    Publication

    In this paper an impact of initial population on evolutionary path planning algorithm is presented. Tested algorithm is used to determine close to optimal shippaths in collision avoidance situation. For this purpose a path planning problem is defined. A specific structure of the individual path and fitness function is presented. For the simulation purposes a close to real tested environment is created. Four tests are performed....

  • AN ALGORITHM FOR PORTAL HYPERTENSIVE GASTROPATHY RECOGNITION ON THE ENDOSCOPIC RECORDINGS

    Publication

    Symptoms recognition of portal hypertensive gastropathy (PHG) can be done by analysing endoscopic recordings, but manual analysis done by physician may take a long time. This increases probability of missing some symptoms and automated methods may be applied to prevent that. In this paper a novel hybrid algorithm for recognition of early stage of portal hypertensive gastropathy is proposed. First image preprocessing is described....

  • Proximal primal–dual best approximation algorithm with memory

    Publication

    - COMPUTATIONAL OPTIMIZATION AND APPLICATIONS - Year 2018

    We propose a new modified primal–dual proximal best approximation method for solving convex not necessarily differentiable optimization problems. The novelty of the method relies on introducing memory by taking into account iterates computed in previous steps in the formulas defining current iterate. To this end we consider projections onto intersections of halfspaces generated on the basis of the current as well as the previous...

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  • Impact of Initial Population on Evolutionary Path Planning Algorithm

    Publication

    In this paper an impact of initial population on evolutionary path planning algorithm is presented. Tested algorithm is used to determine close to optimal ship paths in collision avoidance situation. For this purpose a path planning problem is defined. A specific structure of the individual path and fitness function is presented. For the simulation purposes a close to real tested environment is created. Four tests are performed....

  • Novel 5.1 Downmix Algorithm with Improved Dialogue Intelligibility

    Publication

    A new algorithm for 5.1 to stereo downmix is introduced, which addresses the problem of dialogue intelligibility. The algorithm utilizes proposed signal processing algorithms to enhance the intelligibility of movie dialogues, especially in difficult listening conditions or in compromised speaker setup. To account for the latter, a playback configuration utilizing a portable device, i.e. an ultrabook, is examined. The experiments...

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  • Point cloud unification with optimization algorithm

    Terrestrial laser scanning is a technology that enables to obtain three-dimensional data – an accurate representation of reality. During scanning not only desired objects are measured, but also a lot of additional elements. Therefore, unnecessary data is being removed, what has an impact on efficiency of point cloud processing. It can happen while single point clouds are displayed – user decides what he wants...

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  • Dynamically positioned ship steering making use of backstepping method and artificial neural networks

    The article discusses the issue of designing a dynamic ship positioning system making use of the adaptive vectorial backstepping method and RBF type arti cial neural networks. In the article, the backstepping controller is used to determine control laws and neural network weight adaptation laws. e arti cial neural network is applied at each time instant to approximate nonlinear functions containing parametric uncertainties....

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  • Design analysis of ORC micro-turbines making use of thermal energy of oceans

    Publication

    The article presents the results of the analysis of energy conversion cycles making use of thermal energy of oceans. The objects of analysis were two cases of closed Organic Rankine Cycle (ORC) power plants, which were: the cycle in which the vapour of the working medium was produced by warm oceanic water in the circum-equatorial zone, and the so-called “arctic” cycle in which this vapour was produced by non-frozen water in the circumpolar...

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  • Intelligent Decision Forest Models for Customer Churn Prediction

    Publication
    • F. E. Usman-Hamzah
    • A. O. Balogun
    • L. F. Capretz
    • H. A. Mojeed
    • S. Mahamad
    • S. A. Salihu
    • A. G. Akintola
    • S. Basri
    • R. T. Amosa
    • N. K. Salahdeen

    - Applied Sciences-Basel - Year 2022

    Customer churn is a critical issue impacting enterprises and organizations, particularly in the emerging and highly competitive telecommunications industry. It is important to researchers and industry analysts interested in projecting customer behavior to separate churn from non‐churn consumers. The fundamental incentive is a firm’s intent desire to keep current consumers, along with the exorbitant expense of gaining new ones....

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  • Robust algorithm for active feedback control of narrowband noise

    Publication

    The problem of active control of narrowband acoustic noise is considered. It is shown that the proposed earlier feedback control algorithm called SONIC (self-optimizing narrowband interference canceller), based on minimization of the L2-norm performance measure, can be re-derived using the L1 approach. The resulting robust SONIC algorithm is more robust to heavy-tailed measurement noise, such as the αlpha-stable noise, than the...

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  • How green are ionic liquids? – A multicriteria decision analysis approach

    Due to various desirable physicochemical properties, ionic liquids (ILs) are still gaining in popularity. ILs have been recurrently considered green solvents. However, environmental, health and safety assessments of ILs have raised certain doubts about their benignness, and their greenness status is currently unclear. To clarify the situation on their greenness, we perform a comprehensive assessment of more than 300 commercially...

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  • MAKING OF FERROMAGNETIC ELLIPTICAL SHELL IN TRANSVERSE MAGNETIC

    A ferromagnetic object, located in the Earth’s magnetic field, changes its distribution. Through measuring such disturbances, one can locate the object and destroy it. To conceal the object, a special winding is placed inside its ferromagnetic shell, and its task is to eliminate the disturbances in the distribution of the Earth’s magnetic field.

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  • Multicriteria decision analysis in ranking of analytical procedures for aldrin determination in water

    The study presents the possibility of multi-criteria decision analysis (MCDA) application when choosing analytical procedures with low environmental impact. A type of MCDA, Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), was chosen as versatile tool that meets all the analytical chemists – decision makers requirements. Twenty five analytical procedures for aldrin determination in water samples (as...

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  • Quality Evaluation of Novel DTD Algorithm Based on Audio Watermarking

    Publication

    Echo cancellers typically employ a doubletalk detection (DTD) algorithm in order to keep the adaptive filter from diverging in the presence of near-end speech signal or other disruptive sounds in the microphone signal. A novel doubletalk detection algorithm based on techniques similar to those used for audio signal watermarking was introduced by the authors. The application of the described DTD algorithm within acoustic echo cancellation...

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  • Eventual Convergence of the Reputation-Based Algorithm in IoT Sensor Networks

    Publication

    - SENSORS - Year 2021

    Uncertainty in dense heterogeneous IoT sensor networks can be decreased by applying reputation-inspired algorithms, such as the EWMA (Exponentially Weighted Moving Average) algorithm, which is widely used in social networks. Despite its popularity, the eventual convergence of this algorithm for the purpose of IoT networks has not been widely studied, and results of simulations are often taken in lieu of the more rigorous proof....

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  • Analyzing and Visualizing Government-Citizen Interactions on Twitter to Support Public Policy-making

    Publication

    - Digital Government: Research and Practice - Year 2020

    Twitter is widely adopted by governments to communicate with citizens. It has become a major source of data for analyzing how governments communicate with citizens and how citizens respond to such communication, uncovering important insights about government-citizen interactions that could be used to support public policy-making. This article presents research that aims at developing a software tool called Twitter Analytics for...

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