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Wyświetlanie 1-6 z 6
Tytuł:
New technology for shaping ditches - multitasking device in the watercourse
Nowa technologia kształtowania rowów melioracyjnych - prowadzenie urządzenia wielozadaniowego w cieku wodnym
Autorzy:
Bąkiewicz, P.
Woźniak, P.
Rutkowski, J.
Spadło, M.
Powiązania:
https://bibliotekanauki.pl/articles/335370.pdf
Data publikacji:
2015
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Maszyn Rolniczych
Tematy:
technology
melioration
melioration machine
driving
technologia
melioracja
maszyna melioracyjna
Opis:
Correct and secure position of a multitasking device inside watercourse is the basis of regenerative technology to shape the open watercourses. The article describes the ways to drive a device when performing basic operations related to holistic treatment of reclamation, beginning from the placing the device into the watercourse through the work and avoidance of the obstacles inside the watercourse, and ending with the removal of the device beyond the watercourse.
Podstawą nowej technologii regeneracyjnego kształtowania otwartych cieków wodnych jest prawidłowe i bezpieczne umiejscowienie urządzenia wielozadaniowego wewnątrz cieku wodnego. W artykule przedstawiono sposoby prowadzenia urządzenia podczas wykonywania podstawowych operacji związanych z całościowym zabiegiem melioracji, od wprowadzania urządzenia do cieku wodnego, pracę i omijanie przeszkód wewnątrz cieku, aż do wyprowadzania urządzenia poza ciek wodny.
Źródło:
Journal of Research and Applications in Agricultural Engineering; 2015, 60, 3; 6-10
1642-686X
2719-423X
Pojawia się w:
Journal of Research and Applications in Agricultural Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Sisyphus Cannot Rest. Ethical Challenges of Artificial Intelligence
Autorzy:
Thiel, Volker
Powiązania:
https://bibliotekanauki.pl/articles/781483.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
artificial intelligence
machine ethics
automotive driving
emotional elusions
personal responsibility
Opis:
The use of machines with artificial intelligence in different areas of life and the trend to develop a „homunculus“ makes ethical rating necessary. Starting with early rules of behavior and moral norms, traditions in the occidental ethic history will be presented and faced with the question, whether they can be of any help to understand artificial intelligence, and which conclusions should be considered while developing and using machines with (strong) artifical intelligence by individuals, states, and finally, the whole world.
Źródło:
Ethics in Progress; 2019, 10, 2; 33-44
2084-9257
Pojawia się w:
Ethics in Progress
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Machine vision in autonomous vehicles: designing and testing the decision making algorithm based on entity attribute value model
Autorzy:
Shubenkova, Ksenia
Zabinski, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/2056098.pdf
Data publikacji:
2021
Wydawca:
Sieć Badawcza Łukasiewicz. Przemysłowy Instytut Motoryzacji
Tematy:
autonomous driving
unmanned vehicle
machine vision
decision rules
Decision Table
Opis:
If we speak about the Smart City’s transport system, autonomous vehicles idea is the first thing that comes to mind. Today, it is strongly believed that the autonomous vehicles’ introduction into the traffic will increase the road safety. However, driverless cars are not the solution by itself. The road safety and, accordingly, sustainability will strongly depend on decision making algorithms inbuilt into the control module. Therefore, the goal of our research is to design and test the data mining algorithm based on Entity–Attribute–Value (EAV) model for decision making in the Intelligent System in the fully- or semi-autonomous vehicles. In this article, we describe the methodology to create 3 main modules of the designed Intelligent System: (1) an Object detection module; (2) a Data analysis module; (3) a Knowledge database built on decision rules generated with the help of our data mining algorithm. To build the Decision Table on the base of the real data, we have tested our algorithm on a simple collection of photos from a Polish two-lane road. Generated rules provide comparable classification results to the dynamic programming approach for optimization of decision rules relative to length or support. However, our decision making algorithm thanks to excluding the mistakes made on the object detection stage, works faster than existing ones with the same level of correctness.
Źródło:
Archiwum Motoryzacji; 2021, 94, 4; 27--37
1234-754X
2084-476X
Pojawia się w:
Archiwum Motoryzacji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Study of the influences of blending different proportions of propane into methane on combustion characteristics at the knock threshold by using RCM
Autorzy:
Shokrollahi, F.
Wyszynski, M.
Sundell, J.-P.
Powiązania:
https://bibliotekanauki.pl/articles/244926.pdf
Data publikacji:
2018
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
Rapid Compression Machine
knock threshold operating condition
peak driving pressure
knock intensity
Opis:
A spark-ignited Rapid Compression Machine (RCM) has been used to investigate the influences of the different proportions of methane-propane mixtures on the combustion characteristics at knock threshold operating condition. First, the threshold operating points of the mixtures have been obtained and the results indicated that the piston driving pressure reduces from 142 bars to 90 bars as the propane content in the mixture increases. As a spark plug was fitted in this RCM, the optimum spark timing was also investigated. It was established that spark timing should be set synchronize with the piston at TDC, due to the free movement of the piston. In most RCMs, piston can move toward TDC following the equilibria of forces due to the absence of con-rod. Finally, knock intensity of the different mixtures has been studied. Pre-heating system in RCM with and without trace heating system; effects of flow-rate and lambda variations on peak pressure, ignition delay time and ARR; threshold operating conditions of pure methane, 90% methane and 10% propane, 80% methane and 20% propane, 70% methane and 30% propane; effect of driving pressure on the knocking intensity for mixture of methane and propane for heavy and light knockings are presented in the article.
Źródło:
Journal of KONES; 2018, 25, 1; 339-346
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research on driving behavior decision making system of autonomous driving vehicle based on benefit evaluation model
Autorzy:
Wang, Pengwei
Gao, Song
Li, Liang
Cheng, Shuo
Zhao, Hailan
Powiązania:
https://bibliotekanauki.pl/articles/223910.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
autonomous driving vehicle
decision making model
finite state machine
lane change decision
Opis:
Autonomous driving vehicle could increase driving efficiency, reduce traffic congestion and improve driving safety, it is considered as the solution of current traffic problems. Decision making systems for autonomous driving vehicles have significant effects on driving performance. The performance of decision making system is affected by its framework and decision making model. In real traffic scenarios, the driving condition of autonomous driving vehicle faced is random and time-varying, the performance of current decision making system is unable to meet the full scene autonomous driving requirements. For autonomous driving vehicle, the division between different driving behaviors needs clear boundary conditions. Typically, in lane change scenario, multiple reasonable driving behavior choices cause conflict of driving state. The fundamental cause of conflict lies in overlapping boundary conditions. To design a decision making system for autonomous driving vehicles, firstly, based on the decomposition of human driver operation process, five basic driving behavior modes are constructed, a driving behavior decision making framework for autonomous driving vehicle based on finite state machine is proposed. Then, to achieve lane change decision making for autonomous driving vehicle, lane change behavior characteristics of human driver lane change maneuver are analyzed and extracted. Based on the analysis, multiple attributes such as driving efficiency and safety are considered, all attributes benefits are quantified and the driving behavior benefit evaluation model is established. By evaluating the benefits of all alternative driving behaviors, the optimal driving behavior for current driving scenario is output. Finally, to verify the performances of the proposed decision making model, a series of real vehicle tests are implemented in different scenarios, the real time performance, effectiveness, and feasibility performance of the proposed method is accessed. The results show that the proposed driving behavior decision making model has good feasibility, real-time performance and multi-choice filtering performance in dynamic traffic scenarios.
Źródło:
Archives of Transport; 2020, 53, 1; 21-36
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of the Exhaust Emissions of Toxic Compounds from a Special Purpose Rail Machine PŁT-500 During Profiling the Ballast Cess
Autorzy:
Daszkiewicz, Paweł
Andrzejewski, Maciej
Urbański, Patryk
Woch, Aleksandra
Stefańska, Natalia
Powiązania:
https://bibliotekanauki.pl/articles/1955467.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
exhaust emission
non-road mobile machinery
real driving emissions
special purpose rail machine
PŁT-500 machine
railway subgrader
Opis:
Track works typically require the use of special-purpose rail machines, in which the main source of propulsion includes high-power compression ignition engines. Reliance on these types of engines, which are characterized by a significant degree of wear and tear, relates to relatively high specific fuel consumption and the exhaust emissions of toxic compounds. Using such rail machines to perform modernization and repair works has a negative impact on the natural environment. The article presents test results of toxic compounds exhaust emissions as measured from a special purpose rail machine. The tested vehicle was a machine designed for profiling the ballast cess labeled as PŁT-500. The machine was classified as NRMM (Non Road Mobile Machinery) as well as used for profiling and cleaning the cess. A PEMS (Portable Emissions Measurement System) type apparatus was used for the emissions measurement. This made it possible to measure the exhaust emissions as RDE (Real Driving Emissions) of toxic compounds from the machine under real operating conditions. The obtained test results include the measured exhaust emissions of gaseous compounds: CO, CO2, HC and NOx as well as the vehicle fuel consumption while performing its track works.
Źródło:
Journal of Ecological Engineering; 2021, 22, 7; 80-88
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-6 z 6

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