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Search results for: INTELIGENT ENTERPRISE
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Adaptacyjny system sterowania ruchem drogowym
PublicationAdaptacyjny system sterowania ruchem drogowym to rodzaj systemu sterowania, który dynamicznie, w czasie rzeczywistym, dostosowuje swoje parametry w oparciu o bieżące warunki ruchu drogowego. Celem niniejszej rozprawy jest sprawdzenie wpływu wybranych cech systemu, zbudowanego w oparciu o zaprojektowane i zbudowane z udziałem autora inteligentne znaki drogowe, na wybrane parametry mające wpływ na bezpieczeństwo i płynność ruchu....
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WZROST ZATRUDNIENIA W PRZEDSIĘBIORSTWACH MSP problemy badawcze i wyniki
PublicationW artykule w pierwszej kolejności przedstawiono główne problemy badawcze związane z zagadnieniem wzrostu i rozwoju przedsiębiorstwa, wskazując na najczęściej stosowane rozwiązania metodyczne w tym zakresie. W dalszej części zaprezentowano wyniki badań empirycznych, dotyczące zmian zatrudnienia oraz planów związanych z rozwojem małych i średnich przedsiębiorstw funkcjonujących na Pomorzu (badania zostały przeprowadzone w 2009 i...
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Bio-inspired Decisional DNA in Machinas and other Man-made Systems: The Way Forward
PublicationArtificial bio-inspired intelligent techniques and systems supporting smart, knowledge-based solutions of real world problems which are currently researched very extensively by research teams around the world, have enormous potential to enhance automation of decision making and problem solving for a number of diverse areas including design, manufacturing, Information Technology (IT), social communities of practice, and economics...
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EXPERIENCE-ORIENTED SMART EMBEDDED SYSTEM
PublicationThe Experience-Oriented Smart Embedded System (EOSES) is proposed as a new technological platform providing a common knowledge management approach that allows mass embedded systems for experiential knowledge capturing, storage, involving, and sharing. Knowledge in the EOSES is represented as SOEKS, and organized as Decisional DNA. The platform is mainly based on conceptual principles from Embedded Systems and Knowledge Management....
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Wavelet-based denoising method for real phonocardiography signal recorded by mobile devices in noisy environment
PublicationThe main obstacle in development of intelligent autodiagnosis medical systems based on the analysis of phonocardiography (PCG) signals is noise. The noise can be caused by digestive and respiration sounds, movements or even signals from the surrounding environment and it is characterized by wide frequency and intensity spectrum. This spectrum overlaps the heart tones spectrum, which makes the problem of PCG signal filtrating complex....
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Evaluation of a Novel Approach to Virtual Bass Synthesis Strategy
PublicationThe aim of this paper is to present a novel approach to the Virtual Bass Synthesis (VBS) strategy applied to portable computers. The developed algorithms involve intelligent, rule-based settings of bass synthesis parameters with regard to music genre of an audio excerpt and the type of a portable device in use. The Smart VBS algorithm performs the synthesis based on a nonlinear device (NLD) with artificial controlling synthesis...
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Estimating the Average Speed of Public Transport Vehicles Based on Traffic Control System Data
PublicationIntelligent Transport Systems are a valuable source of traffic information, covering both private and public vehicles. The main problem, however, is that very few studies are conducted to determine the speed of buses, trams and trolleys in urban networks in relation to traffic conditions. The paper investigates how ITS systems data could be used to model the speed of Public Transport vehicles. This is now possible thanks to the...
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Experience-Oriented Intelligence for Internet of Things
PublicationThe Internet of Things (IoT) has gained significant attention from industry as well as academia during the past decade. The main reason behind this interest is the capabilities of the IoT for seamlessly integrating classical networks and networked objects, and hence allows people to create an intelligent environment based on this powerful integration. However, how to extract useful information from data produced by IoT and facilitate...
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Application of chemometric techniques in studies of toxicity of selected commercially available products for infants and children
PublicationThe goal of the present study is to assess the impact of the experimental conditions for extraction procedures (time of extraction, thermal treatment and type of extraction media) as applied to several baby and infant products checked for their possible ecotoxicological response when tested by various ecotoxicity tests(Microtox®, Ostracodtoxkit F™and Xenoscreen YES/YAS™). The systems under consideration are multidimensional by...
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SYNTHESIZING MEDICAL TERMS – QUALITY AND NATURALNESS OF THE DEEP TEXT-TO-SPEECH ALGORITHM
PublicationThe main purpose of this study is to develop a deep text-to-speech (TTS) algorithm designated for an embedded system device. First, a critical literature review of state-of-the-art speech synthesis deep models is provided. The algorithm implementation covers both hardware and algorithmic solutions. The algorithm is designed for use with the Raspberry Pi 4 board. 80 synthesized sentences were prepared based on medical and everyday...
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The impact of shipping 4.0 on controlling shipping accidents: A systematic literature review
PublicationMaritime shipping, with a significant role in global trade, confronts various accidents leading to loss of lives, properties, and the environment. Shipping 4.0 technologies are scaling up to address this problem by employing real-time data-driven technologies, including cyber-physical systems, advanced tracking and tracing, intelligent systems, and big data analytics. Despite growing attention, there is a general lack of clarity...
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Metrisable assessment of the course of stream‑systemic processes in vector form in industry 4.0
PublicationThe goal of this paper is to present an innovative conception how to use metrisable vector structure of a manufacturing process, based on quantitative relations between the activity of input streams, features of the product, and effect of losses; all of which are excellent practical solution for Industry 4.0, and in turn intelligent factories. This solution can be a usefull way in the process of building sustainable organization....
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Modelling and testing of a hydrodynamic clutch filled with electrorheological fluid in varying degree
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Investigation of hydrodynamic clutch with a magnetorheological fluid
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Data normalisation for Lamb wave–based damage detection using cointegration: A case study with single- and multiple-temperature trends
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Driving Performance Indicators of Electric Bus Driving Technique: Naturalistic Driving Data Multicriterial Analysis
PublicationThe issue of electric energy saving in public transport is becoming the key area of interest. By improving of driving techniques and the implementation of eco-driving, it is possible to save electric energy. Systems that help to decrease energy consumption and to reduce fuel emissions are becoming popular in vehicles powered by diesel engines. However, these methods have not yet gained popularity in electric vehicles. Therefore,...
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Assessment of dynamic characteristics of thin cylindrical sandwich panels with magnetorheological core
PublicationBased on the equivalent single-layer linear theory for laminated shells, free and forced vibrations of thin cylindrical sandwich panels with magnetorheological core are studied. Five variants of available magnetorheological elastomers differing in their composition and physical properties are considered for smart viscoelastic core. Coupled differential equations in terms of displacements based on the generalized kinematic hypotheses...
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Metody wprowadzania informacji do mobilnych dokumentów interaktywnych oparte na identyfikacji podobnych treści
PublicationArtykuł dotyczy nowatorskiej architektury dokumentu pozwalającej na szybsze wprowadzanie informacji i wydajniejsze ich przetwarzanie. Dokumenty opracowywane zgodnie z przedstawioną architekturą charakteryzują się tym, że są wykonywalne, mobilne, interaktywne oraz inteligentne. Dokumenty te aktywnie współpracują z użytkownikiem podczas wprowadzania treści oraz są w stanie automatycznie przemieszczać się w Internecie. Ponadto dokumenty,...
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Kierunki rozwoju inteligentnych systemów produkcyjnych
PublicationNiniejszy rozdział jest konsekwentnym rozwinieciem wybranych wniosków pracy [8]. W szczególności nadal aktualne pozostaje twierdzenie, że projektowanie Elastycznych Systemów Sterowania Produkcją nalezy do kręgu podstawowych kierunków prac badawczych o istotnym znaczeniu w nauce o inzynierii i zarządzania produkcją. Zatem po charakteryzowaniu trendów interpretacji elastyczności systemów produkcyjnych przystąpiono do analizy jej...
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Applications of knowledge technologies to sound and vision engineering
PublicationSpecjalność Inżynieria Dźwięku i Obrazu jest ukierunkowana przede wszystkim na aplikacje praktyczne metod rejestracji i przetwarzania sygnałów fonicznych i wizyjnych we współczesnej telekomunikacji i w multimediach. W związku z tym, specjalność ta wykorzystuje również wiedzę z obszaru akustyki, psychofizjologii percepcji a także estetyki muzycznej. W zastosowaniach multimedialnej technologii informatycznej w telekomunikacji, w...
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Female entrepreneurship in Kazakhstan
PublicationWomen constitute the majority of the Kazakh population and, even though they live almost 10 years longer than men on average, they are far less economically active. Less than half of the female population take up employment. Women’s wages are often as much as 30% lower than men’s. The subjective reasons for undertaking economic activity as mentioned by women included: independence from the husband, low earnings of the husband and...
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Evaluation of the factors influencing business bankruptcy risk in Poland
PublicationThis article is devoted to the issue of assessing the causes of business failure. The presented studies answer two research questions – what are the causes of corporate bankruptcies in Poland and how to more efectively predict the scale of bankruptcies in the country. The author has conducted a study to analyze the specic endogenous and exogenous causes of company bankruptcy depending on the type of the bankruptcy with consideration...
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Determinants of COVID-19 Impact on the Private Sector: A Multi-Country Analysis Based on Survey Data
PublicationOur paper aims to investigate the impact of COVID‐19 on private sector companies in terms of sales, production, finance and employment. We check whether the country and industry in which companies operate, government financial support and loan access matter to the behaviour and performances of companies during the pandemic. We use a microdata set from a worldwide survey of more than 15,729 companies conducted between April and...
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Doing Well by Doing Good- CSR in a Global Context
PublicationNowadays, there is a general understanding that stakeholders are crucial for the successful enterprise. There is also a need to think about Corporate Social Responsibility (CSR) in a global context. Never before corporations enjoyed so much power and authority. Corporations need to evolve, re-think their strategies and change their processes accordingly. However, as of now, there is no agreed way of measuring overall sustainability...
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Usability of UML modeling tools
PublicationNarzędzia wspomagające modelowanie w UML pełnią istotną rolę w procesie wytwarzania i utrzymania oprogramowania. Badanie użyteczności tych narzędzi ma na celu poprawę produktywności oraz satysfakcji z ich użytkowania. W referacie zaprezentowano badania użyteczności za pomocą trzech metod: eksperymentalnego testowania efektywności, zapytań o aspekty użyteczności testowanych narzędzi oraz analitycznej metody GOMS (ang. Goals, Operators,...
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Human Resource Management Digitalisation in Multidisciplinary Ship Design Companies
PublicationThe digitalisation in the ship design sector is currently applied to the design process itself and is well defined, partially standardised and practically implemented by both independent design companies and the design departments of shipyards. The situation is similar in other sectors of engineering. However, the requirements for the digitalisation of other processes in design and engineering companies have not previously been...
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Analysis of the Heating Process of Hydraulic Motors during Start-Up in Thermal Shock Conditions
PublicationConditions that prevail during harsh winters and hot summers pose a serious challenge for machine designers building devices suitable for operation in extreme weather. It is essential for the designers and the users to define the principles and conditions for the safe operation of machines and devices with hydraulic drive in low ambient temperatures. Bearing in mind the above, the author tested the hydraulic motors in thermal shock...
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Strategic Flexibility as a Mediator in Relationship between Managerial Decisions and Organizational Learning: Ambidexterity Perspective
PublicationPurpose: The purpose of the article is to determine strategic flexibility in the relationship between managerial decisions and organizational learning. The analyses are conducted in the ambidexterity convection. Design/Methodology/Approach: The study was conducted at a textile company. The company is a leader in the textile recycling industry in Poland. Empirical data were collected using the PAPI technique. The survey questionnaire...
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Online sound restoration system for digital library applications
PublicationAudio signal processing algorithms were introduced to the new online non-commercial service for audio restoration intended to enhance the content of digitized audio repositories. Missing or distorted audio samples are predicted using neural networks and a specific implementation of the Jannsen interpolation method based on the autoregressive model (AR) combined with the iterative restoring of missing signal samples. Since the distortion...
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Music genre classification applied to bass enhancement for mobile technology
PublicationThe aim of this paper is to present a novel approach to the Virtual Bass Synthesis (VBS) algorithms applied to portable computers. The proposed algorithm is related to intelligent, rule-based setting of synthesis parameters according to music genre of an audio excerpt. The classification of music genres is automatically executed employing MPEG 7 parameters and the Principal Component Analysis method applied to reduce information...
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Autoencoder application for anomaly detection in power consumption of lighting systems
PublicationDetecting energy consumption anomalies is a popular topic of industrial research, but there is a noticeable lack of research reported in the literature on energy consumption anomalies for road lighting systems. However, there is a need for such research because the lighting system, a key element of the Smart City concept, creates new monitoring opportunities and challenges. This paper examines algorithms based on the deep learning...
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Bimodal deep learning model for subjectively enhanced emotion classification in films
PublicationThis research delves into the concept of color grading in film, focusing on how color influences the emotional response of the audience. The study commenced by recalling state-of-the-art works that process audio-video signals and associated emotions by machine learning. Then, assumptions of subjective tests for refining and validating an emotion model for assigning specific emotional labels to selected film excerpts were presented....
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Influence of finishing colour on the efficiency of automated production line for wooden doors
PublicationPorta KMI Poland S.A. company has implemented a fully automated intelligent technological line TechnoPORTA for customized mass-production of technical door leaves. Each door leaf is provided with a unique QR code. It allows the line modules to individually adjust the machining parameters to the currently processed element according to the IT controlling system. Before en-tering the TechnoPorta line, the door leaves are not sorted,...
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Improving the quality of speech in the conditions of noise and interference
PublicationThe aim of the work is to present a method of intelligent modification of the speech signal with speech features expressed in noise, based on the Lombard effect. The recordings utilized sets of words and sentences as well as disturbing signals, i.e., pink noise and the so-called babble speech. Noise signal, calibrated to various levels at the speaker's ears, was played over two loudspeakers located 2 m away from the speaker. In...
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Experimental Research on the Energy Efficiency of a Parallel Hybrid Drive for an Inland Ship
PublicationThe growing requirements for limiting the negative impact of all modes of transport on the natural environment mean that clean technologies are becoming more and more important. The global trend of e-mobility also applies to sea and inland water transport. This article presents the results of experimental tests carried out on a life-size, parallel diesel-electric hybrid propulsion system. The eciency of the propulsion system was...
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Assessment of the Speed Management Impact on Road Traffic Safety on the Sections of Motorways and Expressways Using Simulation Methods
PublicationMethods used to evaluate the impact of Intelligent Transport System (ITS) services on road safety are usually based on expert assessments or statistical studies. However, commonly used methods are challenging to apply in the planning process of ITS services. This paper presents the methodology of research using surrogate safety measures calculated and calibrated with the use of simulation techniques and a driving simulator. This...
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Automatic Incident Detection at Intersections with Use of Telematics
PublicationWhile there are many examples of Intelligent Transport System deployments in Poland, more attention should be paid to traffic incident management and detection on dual-carriageways and urban street networks. One of the aims of CIVITAS DYN@MO, a European Union funded project, is to use TRISTAR (an Urban Transport Management System) detection modules to detect incidents at junctions equipped with traffic signals. First part of paper...
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Smart sustainable cities : Reconnaissance Study
PublicationThe global urban population is expected to grow by 63 percent between 2014 and 2050 – compared to an overall global population growth of 32 percent during the same period. Megacities with over 20-million inhabitants will see the fastest increase in population – and at least 13 new megacities are expected by 2030, in addition to the 28 existing today. The fastest growing urban centres contain around one-million inhabitants, and...
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Aktualne trendy w zakresie certyfikacji normatywnych systemów zarządzania w branży spożywczej
PublicationW opracowaniu omówiono aktualne trendy dotyczące certyfikacji systemu zarządzania jakością w sektorze rolno-spożywczym. Na podstawie danych uzyskanych z dużej, renomowanej jednostki certyfikującej przedstawiono analizę porównawczą dotyczącą liczby wydanych certyfikatów dla ogólnych systemów zarządzania oraz dla systemów branżowych dedykowanych sektorowi rolno-spożywczemu w odniesieniu do przedsiębiorstw różnych wielkości.
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Rola innowacji otwartych w klastrach
PublicationInnowacje otwarte to podejście, w którym korzysta się z partnerstwa i łączenia zasobów wewnętrznych i zewnętrznych wobec firmy w celu kreowania nowych pomysłów i technologii. Klastry natomiast są uznawane za przestrzeń sprzyjającą międzyorganizacyjnej współpracy innowacyjnej. Głównym celem podejmowanym w rozprawie było zbadanie roli innowacji otwartych w klastrach poprzez dokonanie diagnozy stanu i sposobu ich podejmowania oraz...
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Podejścia i strategie zarządzania wiedzą w przedsiębiorstwach
PublicationArtykuł przedstawia przegląd różnego rodzaju strategii zarządzania wiedzą.Jak powszechnie wiadomo, charakterystyka firmy (np. jej wielkość) wpływa na tworzoną i realizowaną w danym przedsiębiorstwie strategię. Należy więc założyć, że charakterystyka ta będzie również wpływała na wybór strategii zarządzania wiedzą, która będzie realizowana w danej firmie. Inne podejście do strategii zarządzania wiedzą będzie potrzebne w małej czy...
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Tax Evasion, Tax Morale, and Trade Regulations: Company-Level Evidence from Poland
PublicationObjective: To investigate the determinants of the phenomenon of evading taxes among polish entrepreneurs. In particular, I examine such factors as tax administration satisfaction, tax morale, tax burden, and the influence of trade regulations. Research Design & Methods: A survey study conducted in 2017 in Poland among 454 enterprises. I used the zero-inflated negative binomial modelling technique to examine the impact of factors...
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Zmiany w systemach jakości BRC dedykowanych producentom żywności
PublicationW artykule przedstawiono zmiany wprowadzone w najnowszych wersjach standardu BRC Food wersja 7 i BRC/IoP wersja 5. Na podstawie danych zamieszczonych w ogólnodostępnym katalogu „BRC Global Standards Directory” dokonano oceny stopnia certyfikacji polskich przedsiębiorstw wg standardu BRC Food. Przeprowadzono analizę liczby akredytowanych jednostek certyfikujących w Polsce z uwzględnieniem stopnia ich wydajności.
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Automatyzacja zarządzania ruchem w warunkach wystąpienia zdarzenia drogowego
PublicationCelem działań operacyjnych służb ratowniczych i zarządców ruchu jest maksymalne skrócenie czasu trwania procesu zarządzania zdarzeniami drogowymi w celu zmniejszenia ciężkości wypadku, zminimalizowania okresu ekspozycji na ryzyko wystąpienia zdarzeń wtórnych oraz zminimalizowania strat czasu podróżujących. Realizację celu, jakim jest skrócenie czasu zakłóceń spowodowanych zdarzeniem drogowym umożliwia zastosowanie środków i metod...
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Systemy wieloagentowe w prognozowaniu inwestycyjnym w telekomunikacji
PublicationArtykuł przedstawia przykład zastosowania ekonomii obliczeniowej opartej na systemach wieloagentowych w prognozowaniu rozwoju rynku telekomunikacyjnego. Inteligentne agenty programowe reprezentujące wszystkich uczestników rynku telekomunikacyjnego, a więc klientów, operatorów i dostawców sprzętu, działając na bazie rozproszonej sztucznej inteligencji, wchodzą w równoległe lokalne interakcje, podejmując decyzje wypracowane w oparciu...
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Analiza Nagrań Ruchu Drogowego w Kontekście Akustycznej Klasyfikacji Typu Pojazdu
PublicationCelem niniejszej pracy jest przeprowadzenie analizy sygnału fonicznego w kontekście klasyfikacji typu pojazdu. Część teoretyczna zawiera krytyczny przegląd systemów monitorowania ruchu drogowego, w szczególności systemów ITS (Intelginet Transport System). Część praktyczna przedstawia założenia dotyczące przygotowania bazy nagrań testowych, uwzględniających różne scenariusze ruchu drogowego. Zarejestrowane sesje nagraniowe przetworzono,...
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Superkomputery do wspomagania procesów gospodarczych ze szczególnym uwzględnieniem sektora bankowego
PublicationW artykule omówiono wykorzystanie superkomputerów do wspomagania procesów gospodarczych ze szczególnym uwzględnieniem sektora bankowego. Odniesiono się do wybranych projektów wspierających rozwój gospodarczy w oparciu o superkomputery. W szczególności zaproponowano zastosowanie HPC do implementacji wybranych metod sztucznej inteligencji w bankowości, w tym oceny ryzyka wybranych przedsięwzięć. Zaproponowane podejście umożliwia...
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Semantic URL Analytics to Support Efficient Annotation of Large Scale Web Archives
PublicationLong-term Web archives comprise Web documents gathered over longer time periods and can easily reach hundreds of terabytes in size. Semantic annotations such as named entities can facilitate intelligent access to the Web archive data. However, the annotation of the entire archive content on this scale is often infeasible. The most efficient way to access the documents within Web archives is provided through their URLs, which are...
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Wysokopoziomowy model projektowania wskaźników KPI systemów inteligentnych miast
PublicationCelem pracy jest prezentacja etapów budowy wysokopoziomowych modeli projektowania wskaźników KPI (WPMPW) systemów inteligentnych miast. Dotychczasowy rozwój, badanie procesów miast i przyporządkowanie im miar może być kontrolowane za pomocą wskaźników KPI. Autorzy pracy w trakcie procesów projektowania zwrócili uwagę na ograniczoną użyteczność tak projektowanych wskaźników dla przedstawicieli miast. Stąd też zaproponowali koncepcję...
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Asking Data in a Controlled Way with Ask Data Anything NQL
PublicationWhile to collect data, it is necessary to store it, to understand its structure it is necessary to do data-mining. Business Intelligence (BI) enables us to make intelligent, data-driven decisions by the mean of a set of tools that allows the creation of a potentially unlimited number of machine-generated, data-driven reports, which are calculated by a machine as a response to queries specified by humans. Natural Query Languages...