Search results for: HARMONY SEARCH ALGORITHM - Bridge of Knowledge

Search

Search results for: HARMONY SEARCH ALGORITHM

Search results for: HARMONY SEARCH ALGORITHM

  • Harmony Search for Data Mining with Big Data

    Publication

    - Year 2016

    In this paper, some harmony search algorithms have been proposed for data mining with big data. Three areas of big data processing have been studied to apply new metaheuristics. The first problem is related to MapReduce architecture that can be supported by a team of harmony search agents in grid infrastructure. The second dilemma involves development of harmony search in preprocessing of data series before data mining. Moreover,...

    Full text to download in external service

  • Harmony Search for Self-configuration of Fault–Tolerant and Intelligent Grids

    Publication

    - Year 2016

    In this paper, harmony search algorithms have been proposed to self-configuration of fault-tolerant grids for big data processing. Self-configuration of computer grids lies in the fact that new computer nodes are automatically configured by software agents and then integrated into the grid. A base node works due to several configuration parameters that define some aspects of data communications and energy power consumption. We...

    Full text to download in external service

  • Harmony Search to Self-Configuration of Fault-Tolerant Grids for Big Data

    In this paper, harmony search algorithms have been proposed to self-configuration of fault-tolerant grids for big data processing. Some tasks related to big data processing have been considered. Moreover, two criteria have been applied to evaluate quality of grids. The first criterion is a probability that all tasks meet their deadlines and the second one is grid reliability. Furthermore, some intelligent agents based on harmony...

    Full text to download in external service

  • Adaptive Algorithm for Interactive Question-based Search

    Publication

    - Year 2012

    Popular web search engines tend to improve the relevanceof their result pages, but the search is still keyword-oriented and far from "understanding" the queries' meaning. In the article we propose an interactive question-based search algorithm that might come up helpful for identifying users' intents. We describe the algorithm implemented in a form of a questions game. The stress is put mainly on the most critical aspect of this...

  • 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,...

  • A Backtracking Search Algorithm for Distribution Network Reconfiguration Problem

    Publication
    • T. Nguyen
    • H. Pham
    • A. Truong
    • T. Phung
    • T. Nguyen

    - Year 2016

    Full text to download in external service

  • A Tabu Search Algorithm for Optimization of Survivable Overlay Computing Systems

    Publication

    - Advances in Intelligent Systems and Computing - Year 2012

    Paradygmat obliczeń rozproszonych ostatnio zyskuje coraz większą uwagę, ponieważ zarówno instytucje przemysłowe, jak i uczelnie wymagają coraz większej mocy obliczeniowej do przetwarzania i analizy danych. Z uwagi na dużą podatność systemów obliczeń na awarie różnych typów (podobnie do systemów sieciowych), gwarancje przeżywalności niniejszych systemów są nieodzowne w celu zapewnienia nieprzerwanego działania usług. Z tego powodu,...

    Full text to download in external service

  • A Biased-Randomized Iterated Local Search Algorithm for Rich Portfolio Optimization

    Publication
    • R. Kizys 
    • A. Juan
    • B. Sawik
    • L. Calvet 

    - Applied Sciences-Basel - Year 2019

    Full text to download in external service

  • Constant-Factor Approximation Algorithm for Binary Search in Trees with Monotonic Query Times

    Publication

    - Year 2022

    We consider a generalization of binary search in linear orders to the domain of weighted trees. The goal is to design an adaptive search strategy whose aim is to locate an unknown target vertex of a given tree. Each query to a vertex v incurs a non-negative cost ω(v) (that can be interpreted as the duration of the query) and returns a feedback that either v is the target or the edge incident to v is given that is on the path towards...

    Full text to download in external service

  • Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm

    Publication
    • K. Thiagarajan
    • M. Manapakkam Anandan
    • A. Stateczny
    • P. Bidare Divakarachari
    • H. Kivudujogappa Lingappa

    - Remote Sensing - Year 2021

    Satellite image classification is widely used in various real-time applications, such as the military, geospatial surveys, surveillance and environmental monitoring. Therefore, the effective classification of satellite images is required to improve classification accuracy. In this paper, the combination of Hierarchical Framework and Ensemble Learning (HFEL) and optimal feature selection is proposed for the precise identification...

    Full text available to download

  • Use of Modified Cuckoo Search algorithm in the design process of integrated power systems for modern and energy self-sufficient farms

    Publication

    In the face of increasingly stringent pollutant emission regulations, designing an agricultural holding becomes a difficult challenge of connecting a large number of coefficients that describe an energy system of a farm in regard to its ecological and economic efficiency. One way to cope with this issue is to design an energy self-sufficient farm that integrates various technologies, including renewable energy. However, the selection...

    Full text to download in external service

  • Energy Management for PV Powered Hybrid Storage System in Electric Vehicles Using Artificial Neural Network and Aquila Optimizer Algorithm

    Publication

    - ENERGIES - Year 2022

    In an electric vehicle (EV), using more than one energy source often provides a safe ride without concerns about range. EVs are powered by photovoltaic (PV), battery, and ultracapacitor (UC) systems. The overall results of this arrangement are an increase in travel distance; a reduction in battery size; improved reaction, especially under overload; and an extension of battery life. Improved results allow the energy to be used efficiently,...

    Full text available to download

  • Volunteer Computing System Comcute with Smart Scheduler

    In this paper, a volunteer grid called Comcute is studied. Moreover, the harmony search scheduler is proposed. This scheduler has been designed for efficient using some resources of volunteer grid. The harmony search scheduler optimizes both a workload of a bottleneck computer and the cost of grid. Finally, some experiment outcomes have been discussed.

    Full text to download in external service

  • Big Data Processing by Volunteer Computing Supported by Intelligent Agents

    Publication

    In this paper, volunteer computing systems have been proposed for big data processing. Moreover, intelligent agents have been developed to efficiency improvement of a grid middleware layer. In consequence, an intelligent volunteer grid has been equipped with agents that belong to five sets. The first one consists of some user tasks. Furthermore, two kinds of semi-intelligent tasks have been introduced to implement a middleware...

    Full text to download in external service

  • Metaheurystyki sztucznej inteligencji w wybranych grach komputerowych

    W pracy omówiono trzy metaheurystyki sztucznej inteligencji, które mogą stać się źródłem inspiracji dla projektantów gier komputerowych. Pokazano, w jaki sposób zastosowano algorytm mrówkowy, algorytm genetyczny i algorytm tabu search w grach komputerowych zaprojektowanych przez studentów Politechniki Gdańskiej. W szczególności, odniesiono się do problematyki wyznaczania trajektorii przemieszczających się obiektów...

  • Green Therapy w projektowaniu ośrodków medycznych Green Therapy in complex design of health centres

    Publication

    Koncepcja przestrzenna ogrodu terapeutycznego podporządkowana jest generalnej idei otwierania się projektantów na poszukiwanie nowych możliwości poprawy samopoczucia odbiorcy - poprzez zapewnienie użytkownikom poczucia bezpieczeństwa, komfortu i odprężenia, harmonii. Dotyczy to nie tylko grupy osób chorych, które dręczone są przez niepokoje i napięcia wywołane przez niepełnosprawność czy chorobę, ale także pacjentów w różnym wieku...

  • Working in harmony with nature. Green office buildings in a present-day city

    Publication

    - GeoScape - Year 2010

    Metropolis - as main point of people's migration, mostly because of work, have to face sustainable development as a strategy for the near future. This article describes possible ways leading to the best office building concepts in the design process. Searching for a workspace in harmony with nature is one of the aspects of a balanced development. The challenge is to create functional, compact, environmentally friendly and healthy...

    Full text to download in external service

  • Fast Approximate String Search for Wikification

    Publication

    The paper presents a novel method for fast approximate string search based on neural distance metrics embeddings. Our research is focused primarily on applying the proposed method for entity retrieval in the Wikification process, which is similar to edit distance-based similarity search on the typical dictionary. The proposed method has been compared with symmetric delete spelling correction algorithm and proven to be more efficient...

    Full text available to download

  • Parallel tabu search for graph coloring problem

    Publication

    - Year 2006

    Tabu search is a simple, yet powerful meta-heuristic based on local search that has been often used to solve combinatorial optimization problems like the graph coloring problem. This paper presents current taxonomy of patallel tabu search algorithms and compares three parallelization techniques applied to Tabucol, a sequential TS algorithm for graph coloring. The experimental results are based on graphs available from the DIMACS...

  • Standards for Quality Assurance in the European Higher Education Area versus Common Assessment Framework in education. Conflict or harmony?

    Publication

    - Year 2014

    The aim of the research was to analyze the assumptions of Standards and Guidelines for Quality Assurance in the European Higher Education Area (ENQA) and the criteria of Common Assessment Framework (CAF) for the educational sector and based on that to find out the main differences and similarities (conflicts and harmony) between them. The results of the research showed that the current trends of the quality movement evolution in...

  • 0-step K-means for clustering Wikipedia search results

    Publication

    - Year 2011

    This article describes an improvement for K-means algorithm and its application in the form of a system that clusters search results retrieved from Wikipedia. The proposed algorithm eliminates K-means isadvantages and allows one to create a cluster hierarchy. The main contributions of this paper include the ollowing: (1) The concept of an improved K-means algorithm and its application for hierarchical clustering....

  • Deep neural network architecture search using network morphism

    Publication

    The paper presents the results of the research on neural architecture search (NAS) algorithm. We utilized the hill climbing algorithm to search for well-performing structures of deep convolutional neural network. Moreover, we used the function preserving transformations which enabled the effective operation of the algorithm in a short period of time. The network obtained with the advantage of NAS was validated on skin lesion classification...

    Full text to download in external service

  • On-line Search in Two-Dimensional Environment

    Publication

    We consider the following on-line pursuit-evasion problem. A team of mobile agents called searchers starts at an arbitrary node of an unknown network. Their goal is to execute a search strategy that guarantees capturing a fast and invisible intruder regardless of its movements using as few searchers as possible. As a way of modeling two-dimensional shapes, we restrict our attention to networks that are embedded into partial grids:...

    Full text to download in external service

  • On-line Search in Two-Dimensional Environment

    We consider the following on-line pursuit-evasion problem. A team of mobile agents called searchers starts at an arbitrary node of an unknown network. Their goal is to execute a search strategy that guarantees capturing a fast and invisible intruder regardless of its movements using as few searchers as possible. We require that the strategy is connected and monotone, that is, at each point of the execution the part of the graph...

    Full text available to download

  • 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...

  • 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.

  • Spectral Clustering Wikipedia Keyword-Based search Results

    The paper summarizes our research in the area of unsupervised categorization of Wikipedia articles. As a practical result of our research, we present an application of spectral clustering algorithm used for grouping Wikipedia search results. The main contribution of the paper is a representation method for Wikipedia articles that has been based on combination of words and links and used for categoriation of search results in this...

    Full text available to download

  • Brief Announcement: Energy Constrained Depth First Search

    Publication

    - Year 2018

    Depth first search is a natural algorithmic technique for constructing a closed route that visits all vertices of a graph. The length of such route equals, in an edge-weighted tree, twice the total weight of all edges of the tree and this is asymptotically optimal over all exploration strategies. This paper considers a variant of such search strategies where the length of each route is bounded by a positive integer B (e.g. due...

    Full text to download in external service

  • 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...

    Full text to download in external service

  • Neural Architecture Search for Skin Lesion Classification

    Deep neural networks have achieved great success in many domains. However, successful deployment of such systems is determined by proper manual selection of the neural architecture. This is a tedious and time-consuming process that requires expert knowledge. Different tasks need very different architectures to obtain satisfactory results. The group of methods called the neural architecture search (NAS) helps to find effective architecture...

    Full text available to download

  • Features of a radial user interface to search engines

    The paper is concerned with a new type of user interface to search engines. Instead of presenting search results in a form of a ranked list, the results are presented in radial arrangement. In the center of the interface the most relevant web page is presented. Other web pages are located around the central one. The location of a web page depends on two factors: its relevance to the query and its content. The relevance has influence...

    Full text to download in external service

  • Interactive Information Search in Text Data Collections

    Publication

    This article presents a new idea for retrieving in text repositories, as well as it describes general infrastructure of a system created to implement and test those ideas. The implemented system differs from today’s standard search engine by introducing process of interactive search with users and data clustering. We present the basic algorithms behind our system and measures we used for results evaluation. The achieved results...

    Full text to download in external service

  • Decision making process using deep learning

    Publication

    - Year 2019

    Endüstri 4.0, dördüncü endüstri devrimi veya Endüstriyel Nesnelerin İnterneti (IIoT) olarak adlandırılan sanayi akımı, işletmelere, daha verimli, daha büyük bir esneklikle, daha güvenli ve daha çevre dostu bir şekilde üretim yapma imkanı sunmaktadır. Nesnelerin İnterneti ile bağlantılı yeni teknoloji ve hizmetler birçok endüstriyel uygulamada devrim niteliği taşımaktadır. Fabrikalardaki otomasyon, tahminleyici bakım (PdM – Predictive...

  • 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...

    Full text to download in external service

  • Arterial cannula shape optimization by means of the rotational firefly algorithm

    The article presents global optimization results of arterial cannula shapes by means of the newly modified firefly algorithm. The search for the optimal arterial cannula shape is necessary in order to minimize losses and prepare the flow that leaves the circulatory support system of a ventricle (i.e. blood pump) before it reaches the heart. A modification of the standard firefly algorithm, the so-called rotational firefly algorithm,...

    Full text to download in external service

  • KEYSTONE WG2: Activities and Results Overview on Keyword Search

    Publication

    In this chapter we summarize activities and results achieved by the Keyword Search Working Group (WG2) of the KEYSTONE Cost Action IC1302. We present the goals of the WG2, its main activities in course of the action and provide a summary of the selected publications related to the WG2 goals and co-authored by WG2 members. We concludewith a summary of open research directions in the area of keyword search for structured data.

    Full text to download in external service

  • Using River Formation Dynamics Algorithm in Mobile Robot Navigation

    River Formation Dynamics is a heuristic optimization algorithm based on the manner, in which drops of water form the river bed. The idea is to imitate the movement of drops on the edges between given nodes thus performing a search based on their height, which is modified through the mechanism of soil erosion and sediment deposition. In this way decreasing gradients are constructed, and these are followed by subsequent drops to...

    Full text to download in external service

  • Comparison of reproduction strategies in genetic algorithm approach to graph searching

    genetic algorithms (ga) are a well-known tool used to obtain approximate solutions to optimization problems. successful application of genetic algorithm in solving given problem is largely dependant on selecting appropriate genetic operators. selection, mutation and crossover techniques play a fundamental role in both time needed to obtain results and their accuracy. in this paper we focus on applying genetic algorithms in calculating...

  • Web search results clusterization with background knowledge

    Publication

    - Year 2009

    Clusterization of web pages is an attractive wayfor presenting web resources. Arranging pages into groups ofsimilar topics simplifies and shorten the search process. Thispaper concerns the problem of clustering web pages and presentsour approach to this issue. Our solution is focused on findingsimilarities between documents delivered by different web searchengines. This process was accomplished by applying WordNetdictionary.

  • Approximation Strategies for Generalized Binary Search in Weighted Trees

    Publication

    - Year 2017

    We consider the following generalization of the binary search problem. A search strategy is required to locate an unknown target node t in a given tree T. Upon querying a node v of the tree, the strategy receives as a reply an indication of the connected component of T\{v} containing the target t. The cost of querying each node is given by a known non-negative weight function, and the considered objective is to minimize the total...

    Full text to download in external service

  • Relation-based Wikipedia Search System for Factoid Questions Answering

    In this paper we propose an alternative keyword search mechanism for Wikipedia, designed as a prototype solution towards factoid questions answering. The method considers relations between articles for finding the best matching article. Unlike the standard Wikipedia search engine and also Google engine, which search the articles content independently, requiring the entire query to be satisfied by a single article, the proposed...

  • Complex Root Finding Algorithm Based on Delaunay Triangulation

    A simple and flexible algorithm for finding zeros of a complex function is presented. An arbitrary-shaped search region can be considered and a very wide class of functions can be analyzed, including those containing singular points or even branch cuts. The proposed technique is based on sampling the function at nodes of a regular or a self-adaptive mesh and on the analysis of the function sign changes. As a result, a set of candidate points...

    Full text available to download

  • Computer experiments with a parallel clonal selection algorithm for the graph coloring problem

    Publication

    - Year 2008

    Artificial immune systems (AIS) are algorithms that are based on the structure and mechanisms of the vertebrate immune system. 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 a parallel island model algorithm based on the clonal selection principles for solving the Graph Coloring Problem. The performance of...

    Full text to download in external service

  • In search for new urban planning education and research formulas

    This paper shows research and educational urban planning projects based on international and mutlicultural cooperation including innovative elements to conduct research on built environment. Their common aim is to search for a new perspective on the city development and challenges resulting from changing conditions.

    Full text to download in external service

  • Reduced-cost design closure of antennas by means of gradient search with restricted sensitivity update

    Design closure, i.e., adjustment of geometry parameters to boost the performance, is a challenging stage of antenna design process. Given complexity of contemporary structures, reliable parameter tuning requires numerical optimization and can be executed using local algorithms. Yet, EM-driven optimization is a computationally expensive endeavour and reducing its cost is highly desirable. In this paper, a modification of the trust-region...

    Full text available to download

  • Performance comparison of new modified gradient algorithm and Foy algorithm for iterative position calculation

    In the paper a new position calculation algorithm is presented. It is proposed for indoor environments and is called modified gradient algorithm. This algorithm is compared with well-known Foy algorithm. The comparative analysis is based on real distance measurements conducted in indoor environment.

    Full text to download in external service

  • Acoustic journal bearing - A search for adequate configuration

    Classical non-contact bearings are already used in a number of specialist applications but there are somespecialist areas where they cannot be used for variety of reasons and acoustic sliding bearings could be an alternative. The paper presents the quest for a configuration of an acoustic journal bearing and shows that the overall shape of the bearing and its geometry are of a vital importance for the load capacity oft he bearing....

    Full text to download in external service

  • Development of Local IDF-formula Using Controlled Random Search Method for Global Optimization

    Publication

    The aim of the study is to present the effective and relatively simple empirical approach to rainfall Intensity-Duration-Frequency-formulas development, based on Controlled Random Search (CRS) for global optimization. The approach is mainly dedicated to the cases in which the commonly used IDF-relationships do not provide satisfactory fit between simulations and observations, and more complex formulas with higher number of parameters...

    Full text available to download

  • Electronic nose algorithm design using classical system identification for odour intensity detection

    The two elements considered crucial for constructing an efficient environmental odour intensity monitoring systems are sensors and algorithms typically addressed to as electronic nose sensor (e-nose). Due to operational complexity of biochemical sensors developed in human bodies algorithms based on computational methods of artificial intelligence are typically considered superior to classical model based approaches in development...

    Full text to download in external service

  • Computationally-efficient design optimisation of antennas by accelerated gradient search with sensitivity and design change monitoring

    Electromagnetic (EM) simulation tools are of primary importance in the design of contemporary antennas. The necessity of accurate performance evaluation of complex structures is a reason why the final tuning of antenna dimensions, aimed at improvement of electrical and field characteristics, needs to be based on EM analysis. Design automation is highly desirable and can be achieved by coupling EM solvers with numerical optimisation...

    Full text available to download

  • A tetragonal polymorph of SrMn2P2 made under high pressure – theory and experiment in harmony

    Publication

    - DALTON TRANSACTIONS - Year 2017

    Following the predictions of total energy calculations, a tetragonal SrMn2P2 phase is proposed and successfully formed under high pressure. At ambient pressure, SrMn2P2 adopts the primitive trigonal La2O3 structure type (space group P[3 with combining macron]m1). However, the results of total energy calculations indicate that SrMn2P2 should be more stable in the tetragonal ThCr2Si2 structure type (space group I4/mmm) than in its...

    Full text to download in external service

  • Multimodal Genetic Algorithm with Phase Analysis to Solve Complex Equations of Electromagnetic Analysis

    Publication

    - Year 2020

    In this contribution, a new genetic-algorithm-based method of finding roots and poles of a complex function of a complex variable is presented. The algorithm employs the phase analysis of the function to explore the complex plane with the use of the genetic algorithm. Hence, the candidate regions of root and pole occurrences are selected and verified with the use of discrete Cauchy's argument principle. The algorithm is evaluated...

    Full text available to download

  • A Systematic Search for New Coupling Schemes of Cross-Coupled Resonator Bandpass Filters

    Publication

    In this paper, a systematic approach to an extensive search for topologies of cross-coupled filters with generalized Chebyshev response is presented. The technique applies graph theory to find unique, nonisomorphic filter configurations, and tests whether a specific frequency response can be realized in a given set of topologies. The results of the search are then stored in a database of possible filter configurations.

    Full text available to download

  • An Efficient Noisy Binary Search in Graphs via Median Approximation

    Publication

    - LECTURE NOTES IN COMPUTER SCIENCE - Year 2021

    Consider a generalization of the classical binary search problem in linearly sorted data to the graph-theoretic setting. The goal is to design an adaptive query algorithm, called a strategy, that identifies an initially unknown target vertex in a graph by asking queries. Each query is conducted as follows: the strategy selects a vertex q and receives a reply v: if q is the target, then =, and if q is not the target, then v is a...

    Full text to download in external service

  • A Population-Based Method with Selection of a Search Operator

    Publication

    - Year 2020

    This paper presents a method based on a population in which the parameters of individuals can be processed by operators from various population-based algorithms. The mechanism of selecting operators is based on the introduction of an additional binary parameters vector located in each individual, on the basis of which it is decided which operators are to be used to modify individuals’ parameters. Thus, in the proposed approach,...

  • Low-Cost Multi-Objective Optimization of Antennas By Means Of Generalized Pareto Ranking Bisection Algorithm

    Publication

    - Year 2018

    This paper introduces a generalized Pareto ranking bisection algorithm for low-cost multi-objective design optimization of antenna structures. The algorithm allows for identifying a set of Pareto optimal sets of parameters (that represent the best trade-offs between considered objectives) by iterative partitioning of the intervals connecting previously found designs and executing a Pareto-ranking-based poll search. The initial...

    Full text to download in external service

  • An optimized system for sensor ontology meta-matching using swarm intelligent algorithm

    Publication

    - Internet Technology Letters - Year 2024

    It is beneficial to annotate sensor data with distinct sensor ontologies in order to facilitate interoperability among different sensor systems. However, for this interoperability to be possible, comparable sensor ontologies are required since it is essential to make meaningful links between relevant sensor data. Swarm Intelligent Algorithms (SIAs), namely the Beetle Swarm Optimisation Algorithm (BSO), present a possible answer...

    Full text to download in external service

  • Porównanie wydajności modyfikacji algorytmu Proof-number search uwzględniających wartości remisowe

    Proof-number search to znana rodzina algorytmów służących do wyznaczania wartości pozycji w nielosowych grach dwóch graczy z pełną informacją. W wersji podstawowej pn-search doskonale radzi sobie z wyszukiwaniem strategii wygrywającej jednego z graczy. Jednak istnieje wiele znanych gier, w których obydwaj gracze posiadają jedynie strategię remisującą (Młynek, Awari, Warcaby). W niniejszej pracy porównano wydajność dwóch modyfikacji...

    Full text to download in external service

  • Reduced-cost constrained miniaturization of wideband antennas using improved trust-region gradient search with repair step

    In the letter, an improved algorithm for electromagnetic (EM)-driven size reduction of wideband antennas is proposed. Our methodology utilizes variable-fidelity EM simulation models, auxiliary polynomial regression surrogates, as well as multi-point response correction. The constraint handling is implicit, using penalty functions. The core optimization algorithm is a trust-region gradient search with a repair step added in order...

    Full text to download in external service

  • Self-Organizing Map representation for clustering Wikipedia search results

    The article presents an approach to automated organization of textual data. The experiments have been performed on selected sub-set of Wikipedia. The Vector Space Model representation based on terms has been used to build groups of similar articles extracted from Kohonen Self-Organizing Maps with DBSCAN clustering. To warrant efficiency of the data processing, we performed linear dimensionality reduction of raw data using Principal...

  • Self–Organizing Map representation for clustering Wikipedia search results

    Publication

    - Year 2011

    The article presents an approach to automated organization of textual data. The experiments have been performed on selected sub-set of Wikipedia. The Vector Space Model representation based on terms has been used to build groups of similar articles extracted from Kohonen Self-Organizing Maps with DBSCAN clustering. To warrant efficiency of the data processing, we performed linear dimensionality reduction of raw data using Principal...

    Full text to download in external service

  • Follow the Light. Where to search for useful research information

    Architectural Lighting Design (ALD) has never been a standalone professional discipline. Rather, it has existed as the combination of art and the science of light. Today, third generation lighting professionals are already creatively intertwining these fields, and the acceleration in scientific, technological and societal studies has only increased the need for reliable multidisciplinary information. Therefore, a thorough re-examination...

    Full text available to download

  • Synchronous black hole search in directed graphs

    Publication

    - THEORETICAL COMPUTER SCIENCE - Year 2011

    The paper considers a team of robots which has to explore a graph G, where some nodes can be harmful. Robots are initially located at the so-called home base node. The dangerous nodes are the so-called black hole nodes, and once a robot enters in one of them, it is destroyed. The goal is to find a strategy in order to explore G in such a way that minimum number of robots is wasted. The exploration ends if there is at least one...

    Full text available to download

  • Pareto Ranking Bisection Algorithm for Expedited Multi-Objective Optimization of Antenna Structures

    The purpose of this letter is introduction of a novel methodology for expedited multi-objective design of antenna structures. The key component of the presented approach is fast identification of the initial representation of the Pareto front (i.e., a set of design representing the best possible trade-offs between conflicting objectives) using a Pareto-ranking bisection algorithm. The algorithm finds a discrete set of Pareto-optimal...

    Full text to download in external service

  • Controlled Random Search Applied to Parameters Estimation of the Longitudinal Solutes Transport Model for Rivers

    Publication

    - Year 2003

    Numerical computations are presented for the longitudinal transport of passive, conservative solutes in an actual river with the inclusion of geometrical complexities of river channels. A special emphasis is put on the method of the identification of model parameters which is based on a specially designed optimisation procedure using random control search algorithm. Two different situations are considered namely a linear version...

  • In Search of Naval Beauty. Historical Study of Ship Architecture

    Publication

    - Year 2018

    Designing ships is no mean achievement. In the old days, constructors focused on making their ships visually appealing, while paying scant regard to the living conditions of the crew. Such an approach reflected the state of the art in ship building at the time as well as the social order prevalent in those days. A breakthrough came no earlier than at the turn of the 19th / 20th centuries. The industrial revolution brought along...

    Full text to download in external service

  • 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.

    Full text to download in external service

  • IN SEARCH OF A NEW EXHIBITION SPACE

    Publication

    The buildings considered as raising the prestige and promoting cities are those related to culture. Their impact on urban life is undeniable, which is reflected in a continuous increase in the number of new museum buildings. Apart from places intrinsically linked with culture, which, as such, may be considered as standard - like museum, theatres or galleries - there also appear alternative places of development and promotion of...

    Full text available to download

  • SEARCH-Journal of Media and Communication Research

    Journals

    eISSN: 2672-7080

  • 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...

  • EM-Driven Multi-Objective Design of Impedance Transformers By Pareto Ranking Bisection Algorithm

    Publication

    - Year 2017

    In the paper, the problem of fast multi-objective optimization of compact impedance matching transformers is addressed by utilizing a novel Pareto ranking bisection algorithm. It approximates the Pareto front by dividing line segments connecting the designs found in the previous iterations, and refining the obtained candidate solutions by means of poll-type search involving Pareto ranking. The final Pareto set is obtained using...

    Full text to download in external service

  • 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...

  • On Improved-Reliability Design Optimization of High-Frequency Structures Using Local Search Algorithms

    The role of numerical optimization has been continuously growing in the design of high-frequency structures, including microwave and antenna components. At the same time, accurate evaluation of electrical characteristics necessitates full-wave electromagnetic (EM) analysis, which is CPU intensive, especially for complex systems. As rigorous optimization routines involve repetitive EM simulations, the associated cost may be significant....

    Full text available to download

  • 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....

    Full text to download in external service

  • Can Web Search Queries Predict Prices Change on the Real Estate Market?

    Publication

    This study aims to explore whether the intensity of internet searches, according to the Google Trends search volume index (SVI), is a predictor of changes in real estate prices. The motivation of this study is the possibility to extend the understanding of the extra predictive power of Google search engine query volume of future housing price change (shift direction) by (i) the introduction of a research approach that combines...

    Full text available to download

  • 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...

    Full text available to download

  • 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...

    Full text to download in external service

  • 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...

    Full text available to download

  • 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.

    Full text to download in external service

  • 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...

    Full text available to download

  • Global Complex Roots and Poles Finding Algorithm in C × R Domain

    An algorithm to find the roots and poles of a complex function depending on two arguments (one complex and one real) is proposed. Such problems are common in many fields of science for instance in electromagnetism, acoustics, stability analyses, spectroscopy, optics, and elementary particle physics. The proposed technique belongs to the class of global algorithms, gives a full picture of solutions in a fixed region ⊂ C × R and...

    Full text available to download

  • 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...

    Full text to download in external service

  • 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....

  • Approximate search strategies for weighted trees

    Publication

    W pracy podajemy 3-przybliżony algorytm dla problemu spójnego przeszukiwania drzew ważonych.

    Full text available to download

  • Intelligent Resources Search in Virtual Libraries.

    Publication

    - Year 2004

    Została zaprezentowana koncepcja bibliotek cyfrowych oraz temat wyszukiwania zasobów. W celu poprawy jakości procesu wyszukiwania, zostało zaproponowane użycie koncepcji sieci semantycznej zamiast klasycznego sposóbu opisu zasobów bibliograficznych. Została opisana prosta ontologia oparta o Dublin Core meta-data. Zostało przedyskutowane zastosowanie algorytmu przetważania połączeń semantycznych w celu szukania. Zastosowany w Wirtualnej...

  • In search of a common ground for the space sciences

    Publication

    - Year 2019

    The paper discusses the relations between various aspects of human activities performed in space, taking into consideration the past, present and future contexts. Interdisciplinarity and integrity of technological issues combined with legal and management issues were emphasized. Consequently, it was recognized that it is necessary to build a network of universities, research-and-development companies and engineering companies....

    Full text to download in external service

  • 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...

    Full text available to download

  • 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...

    Full text to download in external service

  • How proteins bind to DNA: target discrimination and dynamic sequence search by the telomeric protein TRF1

    Publication

    Target search as performed by DNA-binding proteins is a complex process, in which multiple factors contribute to both thermodynamic discrimination of the target sequence from overwhelmingly abundant off-target sites and kinetic acceleration of dynamic sequence interrogation. TRF1, the protein that binds to telomeric tandem repeats, faces an intriguing variant of the search problem where target sites are clustered within short fragments...

    Full text available to download

  • 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...

    Full text to download in external service

  • Using Long-Short term Memory networks with Genetic Algorithm to predict engine condition

    Publication

    - Gazi University Journal of Science - Year 2022

    Predictive maintenance (PdM) is a type of approach for maintenance processes, allowing maintenance actions to be managed depending on the machine's current condition. Maintenance is therefore carried out before failures occur. The approach doesn’t only help avoid abrupt failures but also helps lower maintenance cost and provides possibilities to manufacturers to manage maintenance budgets in a more efficient way. A new deep neural...

    Full text to download in external service

  • 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....

    Full text available to download

  • Global Complex Roots and Poles Finding Algorithm Based on Phase Analysis for Propagation and Radiation Problems

    A flexible and effective algorithm for complex roots and poles finding is presented. A wide class of analytic functions can be analyzed, and any arbitrarily shaped search region can be considered. The method is very simple and intuitive. It is based on sampling a function at the nodes of a regular mesh, and on the analysis of the function phase. As a result, a set of candidate regions is created and then the roots/poles are verified...

    Full text available to download

  • Moving object tracking algorithm evaluation in autonomous surveillance system

    Publication

    Results of evaluation of video object tracking algorithm being a part of an autonomous surveillance system are presented. The algorithm was investigated employing a set of benchmarks recorded locally. The precision of object detection, evaluated with such metrics as fragmentation, object area recall and object precision, is in focus. The experiments aimed at examining the detection quality using various object detection algorithm...