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1
Content available remote AI-based method of vortex core tracking as an alternative for Lambda2
EN
The paper presents a new method of vortex core detection developed for use in CFD simulation result analysis. Apart from the conventional approach involving vector algebra, mainly the Lambda2 method, it focuses on the identification of certain features in a graphic representation of the velocity field. It is done by generating a series of slices of the said field in the postprocessing software and training a Convolutional Neural Network (AI) to recognize vortex cores. The neural network can be integrated into a simple python program and used to quickly identify vortex cores on a large number of images and translate their locations to coordinates of a CFD model for visualisation.
EN
Introduction/background: The research problem was formulated by asking two research questions (RQ): RQ1: What are the similarities and differences in startup activity as observed in Poland and Israel? RQ2: What characteristics of a startup allow it to be treated as an AI-organisation? The conducted literature review allowed us to identify a certain cognitive gap (CG). CG1: There are few study reports discussing the characteristics of the European market of startups utilizing modern technologies. The study was conducted in 2018-2019. Aim of the paper: The main goal of the article is to present the results of a comparative analysis of Polish startups with Israeli organizations using artificial intelligence technology (AI startups). This main goal sets the focus on the respective partial epistemological aims. TA1: To determine the current state of knowledge about the characteristics of startups in Poland and AI startups in Israel. TA2: To try and define the term AI startup. Materials and methods: The research methods employed in implementing the formulated goals included: quantitative bibliometric analysis, systematic and critical review of the subject literature, text analysis and comparative analysis. Results and conclusions: It was noticed that clear differences can be observed between the analyzed markets, especially in terms of the number of AI startups. In addition, an attempt was made to define the concept of an AI startup, and the determinants of AI startups were also presented. In conclusion, the authors set the direction for further research, which would be based on expanding the observation of a broader spectrum of AI startups in other European and American markets.
3
Content available remote Artificial Intelligence Research Community and Associations in Poland
EN
In last years Artificial Intelligence presented a tremendous progress by offering a variety of novel methods, tools and their spectacular applications. Besides showing scientific breakthroughs it attracted interest both of the general public and industry. It also opened heated debates on the impact of Artificial Intelligence on changing the economy and society. Having in mind this international landscape, in this short paper we discuss the Polish AI research community, some of its main achievements, opportunities and limitations. We put this discussion in the context of the current developments in the international AI community. Moreover, we refer to activities of Polish scientific associations and their initiative of founding Polish Alliance for the Development of Artificial Intelligence (PP-RAI). Finally two last editions of PP-RAI joint conferences are summarized.
4
Content available The impact of Industry 4.0 and AI on economic growth
EN
This study explores the impact of Industry 4.0 and AI on economic growth. The high level development of industry 4.0 and readiness using artificial intelligence doesn't provide high rates of economic growth. One of the reasons is the objective obstacles associated with the implementation of industry 4.0 and AI. These obstacles are economic, technological and institutional.
5
Content available remote From Architecture Without Architects to architecture after architects
EN
The ideas presented by Bernard Rudofsky in the exhibition and book entitled Architecture Without Architects are being proposed by the author as the starting point of discussion on the condition of the architectural profession. Rudofsky focused the world’s attention on architecture formed by the forces of Nature and as a result of natural development processes. The article raises the question of the future of the architectural profession seen from the perspective of the present time, whilst the technological development, in particular automation and computerization of design and construction processes, has gone so far that it is possible in the near future that man might be replaced by machines, which in turn may lead to a deep change in the architectural profession, or to its eventual complete disappearance.
PL
Autor za punkt wyjścia do dyskusji przyjmuje idee przedstawione przez Bernarda Rudofsky’ego w wystawie i książce zatytułowanej Architecture Without Architects, idee architektury formowanej siłami Natury i w wyniku naturalnych procesów rozwojowych. Następnie stawia pytanie o przyszłość architektury widzianej z perspektywy czasu obecnego, w którym rozwój technologiczny, w szczególności automatyzacja i komputeryzacja procesów projektowania i budowy, zaszedł tak daleko, iż możliwe jest w nieodległej przyszłości zastąpienie człowieka przez maszyny, co w konsekwencji doprowadzić może do zmiany charakteru zawodu architekta lub do jego częściowego zaniku.
EN
Today’s market and customer expectations are changing so fast that numerous solutions and logistic concepts are becoming obsolete or require radical changes. These changes largely result from digital transformation, which creates a new business reality, generating access to digital tools and services in any place, at any time and scope. Owing to digital transformation it is possible to apply technology which ensures visibility throughout the supply chain, realtime response, implementation of modern E2E concepts, and primarily solutions that will allow to effectively meet the expectations of the modern customer. In this respect, it could be useful to consider the place of telematics in meeting these requirements and expectations. The assumed increase in effectiveness of activities, real-time data exchange and automation of many processes without the broad implementation of telematics considerations seems impossible. Thus, the question arises not only about the role and importance of telematics, but also about the scope and areas of implantation of telematics solutions into the functioning of modern supply chain referred to as “RealTime-End-to-End-Visibility”. The article attempts to identify and comprehensively approach the factors determining the emergence of such solutions. The objective of the study is also to indicate trends and directions of changes in the implementation of the latest telematics solutions on the example of selected companies in Lower Silesia.
PL
Zasygnalizowano wiele kluczowych wyzwań, jakie stają przed społeczeństwami wobec pojawienia się aplikacji, wykorzystujących elementy sztucznej inteligencji (AI), rozwoju prac nad autonomicznymi platformami (robotami) bojowymi oraz podejmowania prac nad sztuczną inteligencją ogólną. Problematykę tę przedstawiono jako kolejny, ważny etap powstawania społeczeństwa informacyjnego, powodujący akcelerację możliwości, ale i zwiększający poziom ryzyka. Zwrócono uwagę, że środowisko osób, skupionych wokół Konferencji Okrągłego Stołu Polska w drodze do społeczeństwa informacyjnego od prawie dwudziestu lat, zajmuje się tą tematyką i ma w tym zakresie znaczący dorobek. Przypomniano proponowane wcześniej kierunki działań, zmierzające do poprawy jakości życia i przeciwdziałania niszczącym skutkom spodziewanego bezrobocia. Zasygnalizowano konieczność podejmowania problematyki społeczeństwa informacyjnego i wykorzystania AI z uwzględnieniem jej multidyscyplinarnej złożoności. Sformułowano propozycję modyfikacji celów społecznych oraz zaproponowano postulowany kierunek budowy społeczeństwa informacyjnego, wykorzystującego sztuczną inteligencję, w duchu dobra, prawdy i piękna. Podkreślono gotowość udziału Stowarzyszenia Elektryków Polskich w dalszych, związanych z tą tematyką, odpowiedzialnych pracach.
EN
The publication indicates a number of key challenges that societies face in the face of applications, using elements of artificial intelligence (AI), development of work on autonomous combat platforms (robots) and undertaking work on artificial general intelligence (AGI). This problem was presented as the next, important stage in the emergence of the information society, resulting in the acceleration of opportunities but also increasing the level of risk. It was pointed out that the environment of persons gathered around the Round Table Conference "Poland on the way to the Information Society" for almost twenty years, deal with this subject and has significant achievements in this area. The previously proposed directions of actions aimed at improving the quality of life and counteracting the devastating effects of the expected unemployment are reminded. The necessity to take up information society issues and the use of AI with regard to its multidisciplinary complexity was indicated. A proposal to modify social goals was formulated and the postulated direction of building an information society using artificial intelligence was proposed in the spirit of good, truth and beauty. It was emphasized that the Association of Polish Electrical Engineers is ready to participate in further responsible matters related to this subject.
PL
W artykule przedstawiono badania algorytmów sztucznej inteligencji w procesie rozpoznawania stanu narzędzia online. Ponadto opisano możliwości diagnozowania procesu frezowania, wynikające z zastosowana sztucznych sieci neuronowych, oraz ograniczenia zastosowania tej technologii. W przeprowadzonych badaniach doświadczalnych określono wpływ struktury sieci neuronowej na proces uczenia (czasochłonność uczenia i zdolność sieci do uogólniania wiedzy).
EN
The paper contains a research about an ability to use an artificial intelligence in tool condition monitoring process online. There was a parolee why developing a system which set a machine able to get a decision them self is advisable. Besides, there was described an ability to use an artificial intelligence, and limits to use the technology. In conducted experimental researchers there was discover an influence neural network’s structure on learning process (learning time-consuming and ability to make a knowledge an abstract).
9
Content available remote Affective pathfinding in video games
EN
To allow player submerge in created environment of a video game, agents called Non-Player Characters (NPCs) should act believably. One of the most vital aspect, in case of NPCs is pathfinding. There are a few methods that allow change path finding algorithms to become more human-like. Yet, those are not considering many vital aspects of human decisions regarding path choosing. The main purpose of this paper is to present known approaches and show example of a new approach that wider considers psychological aspects of decision making in case of choosing a path.
EN
Multiplayer Online Battle Arena games focus mainly on struggles between two teams of players. An increasing level of cyberbullying [1] discourages new players from the game and they often chose a different option, that is, a match against opponents controlled by the computer. The behavior of artificial foes can be dynamically fitted to user’s needs, in particular with regard to the difficulty of the game. In this paper we explore different approaches to provide an intelligent behavior of bots basing on more human-like combat predictions rather than instant, scripted behaviors.
EN
Artificial Intelligence (AI) can be defined as the application of science and engineering with the intent of intelligent machine composition. It involves using tool based on intelligent behavior of humans in solving complex issues, designed in a way to make computers execute tasks that were earlier thought of human intelligence involvement. In comparison to other computational automations, AI facilitates and enables time reduction based on personnel needs and most importantly, the operational expenses. Artificial Intelligence (AI) is an area of great interest and significance in petroleum exploration and production. Over the years, it has made an impact in the industry, and the application has continued to grow within the oil and gas industry. The application in E & P industry has more than 16 years of history with first application dated 1989, for well log interpretation; drill bit diagnosis using neural networks and intelligent reservoir simulator interface. It has been propounded in solving many problems in the oil and gas industry which includes, seismic pattern recognition, reservoir characterisation, permeability and porosity prediction, prediction of PVT properties, drill bits diagnosis, estimating pressure drop in pipes and wells, optimization of well production, well performance, portfolio management and general decision making operations and many more. This paper reviews and analyzes the successful application of artificial intelligence techniques as related to one of the major aspects of the oil and gas industry, drilling capturing the level of application and trend in the industry. A summary of various papers and reports associated with artificial intelligence applications and it limitations will be highlighted. This analysis is expected to contribute to further development of this technique and also determine the neglected areas in the field.
EN
Modern organizations commonly use the strategy of a learning organization, and therefore operate with not only material resources, but also information resources. The collected data resources become the basis for generating business and management information. This database is maintained on various platforms using integrated BI (Business Intelligence) systems enabling knowledge to be generated through the data-mining mechanisms embedded in the artificial intelligence models. In this article, the authors focus on AI (Artificial Intelligence) models and systems based on ANN's (Artificial Neural Networks) and fuzzy set theory, which can be useful in solutions dedicated to supporting the complex management of modern organisations, and in particular the support of active functions (forecasting, planning and monitoring activities, as well as risk analysis and system effectiveness).
PL
W artykule dokonano analizy literaturowej, omawiając teoretyczne podstawy strategii ECR, wspomagających ją technolo-gii Elektronicznej Wymiany Informacji (EDI) i Automatycznej Identyfikacji (AI) w odniesieniu do ich zastosowania w sekto-rze spożywczym.
EN
In the article a literature analysis has been done, describing the theoretical basics of the ECR strategy, the supporting it EDI technologies and the AI in respect to their usage in the food sector.
14
Content available Data storage management using AI methods
EN
Data management and monitoring is an important issue in scientific computation. Scientists want to access their data as quickly as possible. Some experiments need to store a lot of data which have to be secure. By saying this we mean that this data can not disappear or be damaged also the data storage should be as cheap as possible. In this paper we present an approach to the automation of monitoring and management of data storage. We introduce a knowledge based system which is able to manage data, i.e., make decisions on migrating data, replicating or removing it. We discuss some of the existing solutions which are popular on the market. In this paper we aim to present our system which uses such AI techniques like fuzzy logic or a rule-based expert system to deal with data storage management. We exploit in this system a cost model to analyze the proposed solutions. The operations performed by our system are aimed to optimize the usage of the monitored infrastructure.
15
EN
The paper discusses an approach which is targeted at obtaining maximal benefits of contemporary advanced lighting systems. The benefits are expressed in terms of improved energy efficiency (i.e. lower power consumption) or citizens ąuality of life. Applying proposed solution one could use intelligent control methods which functionality goes far beyond simple preset lighting scenarios as it is present in existing commercial systems. The main problem tackled here is a high complexity of control algorithms related to a size of a state space compound of lighting profiles, fixtures' working parameters and varying environment conditions. The proposed method, designed for solving this issue, is using decom-posable graph representations of the environment under control, and multiagent system deployed on it. An important component of the system is a rule-based engine, adapting lighting control parameters to actual environment needs.
PL
Artykuł przedstawia podejście nastawione na maksymalizację korzyści płynących z zastosowania zaawansowanych systemów oświetlenia tj. poprawę wydajności energetycznej (np. zmniejszenie poboru energii) oraz polepszenie jakości życia. Proponowane rozwiązanie, bazujące na koncepcji inteligentnego sterowania, udostępnia funkcje dotychczas niespotykane w oferowanych komercyjnie produktach. Problemem, w przypadku systemów oświetlenia, jest duża złożoność obliczeniowa algorytmów sterujących. Związane jest to z rozbudowaną przestrzenią stanów dla takiego systemu reprezentującą różne profile oświetlenia, parametry pracy punktów świetlnych oraz warunki środowiska. Zaproponowane podejście rozwiązuje ten problem poprzez zastosowanie dekomponowalnej reprezentacji grafowej oraz środowiska wieloagentowego przetwarzającego takie grafy. Istotnym elementem rozwiązania jest system regułowy określający parametry sterowania dla poszczególnych punktów świetlnych w zależności od zapotrzebowania.
16
Content available AI and IQ- the comparison and the measuring methods
EN
The hereby article is to present the notions of two concepts: human and artificial intelligence. The paper first offer the short presentation of their most common definitions. Both terms are widely known, however, not often are they viewed from the same perspective. Thus, the most intriguing part is to treat both issues in the similar, if not the same, way, using close assessment tools. Furthermore, the ways, methods and the approaches towards the assessment tools are provided. Finally, the comparison between those two concepts is shown, together with the idea of ITS as an example of AI.
EN
The abstract, rigorous, and expressive needs in cognitive informatics, intelligence science, software science, and knowledge science lead to new forms of mathematics collectively known as denotational mathematics. Denotational mathematics is a category of expressive mathematical structures that deals with high level mathematical entities beyond numbers and sets, such as abstract objects, complex relations, behavioral information, concepts, knowledge, processes, and systems. Denotational mathematics is usually in the form of abstract algebra that is a branch of mathematics in which a system of abstract notations is adopted to denote relations of abstract mathematical entities and their algebraic operations based on given axioms and laws. Four paradigms of denotational mathematics, known as concept algebra, system algebra, Real-Time Process Algebra (RTPA), and Visual Semantic Algebra (VSA), are introduced in this paper. Applications of denotational mathematics in cognitive informatics and computational intelligence are elaborated. Denotational mathematics is widely applicable to model and manipulate complex architectures and behaviors of both humans and intelligent systems, as well as long chains of inference processes.
EN
Agents play an important role in high level artificial intelligence in such areas as distributed decision support, robot control, computer games, etc. Currently, the most popular high-level agent architectures are based on the belief-desire-intention (BDI) model. BDI agents are usually specified in modal logic. This is efficient for defining event goals. However, defining quantitative goals can be very difficult in many popular formalisms. In this paper we propose a method for expressing quantitative goals by associating partial utility functions with agent’s goals. We propose a modified BDI agent architecture which is loosely based on fuzzy logic. In this architecture, approximation of partial derivatives of those functions enables us to use gradient based optimization algorithms in the intention reconsideration step to weight some action specializations. Using the proposed approach allows us to easily combine quantitative and event goals, and consider them all while planning. This paper also describes a simple language which can be used to elegantly describe generic action libraries in accordance to the proposed model.
19
Content available remote Wybrane zastosowania sztucznej inteligencji w diagnostyce technicznej
PL
Przedmiotem referatu są zastosowania sztucznej inteligencji w określonej dziedzinie, jaką jest diagnostyka techniczna. W praktycznych zadaniach diagnostyki technicznej celowe jest wyodrębnienie podmiotu, przez który rozumiany będzie bądź człowiek-diagnosta, bądź sztuczny układ diagnozujący. Głównym celem postępowania ("diagnostycznego") jest ocena stanu (technicznego) obiektu diagnozowania. Działanie to wymaga zgromadzenia odpowiedniej wiedzy i/lub doświadczenia. Może ono być bądź to wspomagane, bądź wręcz realizowane, przez odpowiedni system bazujący na wiedzy (ang. Knowledge-based system). Budowa takich systemów, a zwłaszcza budowa ich baz wiedzy, jest ważną gałęzią sztucznej inteligencji.
EN
The paper deals with several issues concerning applications of Artificial Intelligence (AI) in technical diagnostics. The applications were selected with respect to research work carried out in the Department of Fundamentals of Machinery Design, Silesian University of Technology at Gliwice, Poland. Main tasks of technical diagnostics of objects (machinery and equipment) and processes are briefly discussed. Further on, some arbitrary selected applications are described. Apart from the first application that focuses on acquisition of procedural and declarative knowledge from domain experts, all remaining ones are connected with knowledge acquisition from databases containing either examples obtained during simulations, or collected from real machinery and processes. Diagnostic inverse models are means of diagnostic concluding. The models are usually trained on simulation data. Belief network is other means of efficient modeling diagnostic relations that allows representing and dealing with uncertainty. An important contribution to classification yield diagnostic multimodels and multilevel models, both of them making possible application of local models, and then combining responses of component models. Recently, approximate models of processes become important, with special attention paid to different soft modeling methods. It is shown that classical machine learning methods may be efficiently employed for knowledge acquisition from examples. However, since many databases accessible from monitoring systems contain unclassified though quite valuable data, applications of new methodology of knowledge discovery in databases are very promising. Finally, a comprehensive application - a diagnostic expert system - is discussed. The paper concludes with short discussion about the role that AI should play in technical diagnostics in the future, and some issues that become potential subjects of prospective research.
20
Content available remote Zastosowanie metody CBR do wspomagania procesu koncepcyjnego projektowania maszyn
PL
W pracy zaprezentowano koncepcję systemu komputerowego, bazującego na wiedzy i doświadczeniu projektowym, do wspomagania projektowania maszyn. Do wspomagania tego procesu zaimplementowano metodę CBR (Case Based Reasoning). Przedstawiono podstawy metody CBR, pokazano sformalizowany opis działania opracowanego systemu SWPK_CBR oraz zaprezentowano strukturę i sposób jego funkcjonowania.
EN
In this paper a conception of computer system based on knowledge and design experience was applied to machine design aiding. The method called Case Based Reasoning (CBR) was complied. Formalised function description, structure and descriptions of created system operating were presented
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