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Статті в журналах з теми "Diesel motor Data processing"
Kurilkin, Dmitry, Roman Kulesh, Pavel Dvorkin, Anna Romanova, and Andrey Sadovskiy. "Determination of Energy Expenditures on Hydrostatic Drive of Cooling Device Motor-Fans of Diesel Locomotive TEP70BS According to Microprocessor Control System Data." Bulletin of scientific research results 2022, no. 3 (September 22, 2022): 89–102. http://dx.doi.org/10.20295/2223-9987-2022-3-89-102.
Повний текст джерелаKurilkin, Dmitry, Vladimir Grachev, and Valeriy Tanaev. "Defining Resistance in Traction Motor Circuit According to Microprocessor Control System Data." Bulletin of scientific research results 2022, no. 4 (December 24, 2022): 74–89. http://dx.doi.org/10.20295/2223-9987-2022-4-74-89.
Повний текст джерелаZhao, Fu Zhou, Rong Liang, and Xiao Ping Chen. "Study on Steady Condition Control of Hybrid Turbocharging System." Advanced Materials Research 139-141 (October 2010): 1941–44. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1941.
Повний текст джерелаHidayat, M. Reza, and Denasti Fajar Sukmawan. "Analisis Penurunan Daya Pada Sistem Propulsi Lokomotif Transmisi Diesel Elektrik CC 203 Di Depo Lokomotif." SUTET 10, no. 2 (December 1, 2020): 79–87. http://dx.doi.org/10.33322/sutet.v10i2.1296.
Повний текст джерелаDarno. "PERENCANAAN PEMELIHARAAN MOTOR DIESEL DENGAN METODE RCM (RELIABILITY CENTERED MAINTENANCE) PADA PLTG TELUK LEMBU PEKANBARU." Jurnal Surya Teknika 7, no. 1 (December 13, 2020): 77–85. http://dx.doi.org/10.37859/jst.v7i1.2353.
Повний текст джерелаArfittariah, Arfittariah, Abdul Zain, and Akbar Akbar. "Rancang Bangun Mesin Otomatis Pencacah mini Serabut Kelapa (Mesin Cocopeat)." Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) 4, no. 6 (December 28, 2021): 517–21. http://dx.doi.org/10.32672/jnkti.v4i6.3652.
Повний текст джерелаLopatin, O. P., V. A. Likhanov, A. A. Belov, A. O. Vasiliev, and E. P. Alekseev. "Development of a methodology for calculating the integral toxicity of exhaust gases of a diesel engine running on alternative fuels." IOP Conference Series: Earth and Environmental Science 981, no. 4 (February 1, 2022): 042003. http://dx.doi.org/10.1088/1755-1315/981/4/042003.
Повний текст джерелаGrekhov, L. V., V. A. Markov, N. А. Arsenov, J. Zhao, and B. Sa. "Determination of the Constants of the Equation of State for Calculating the Elastic Properties of Various Engine Fuels and Technical Fluids." Herald of the Bauman Moscow State Technical University. Series Mechanical Engineering, no. 4 (143) (December 2022): 108–37. http://dx.doi.org/10.18698/0236-3941-2022-4-108-137.
Повний текст джерелаVasilieva, Elena, Aleksandr Nevedrov, Andrey Papin, and Aleksandr Chernik. "The Study of the Distillation Volume of the Liquid Tire Pyrolysis Product." E3S Web of Conferences 174 (2020): 02019. http://dx.doi.org/10.1051/e3sconf/202017402019.
Повний текст джерелаGerges, Samir N. Y., Márcio R. Kimura, and J. L. Bento Coelho. "Acoustic Modelling and Measurements of Engine Mufflers." Building Acoustics 5, no. 1 (March 1998): 27–38. http://dx.doi.org/10.1177/1351010x9800500103.
Повний текст джерелаДисертації з теми "Diesel motor Data processing"
Ray, Subhasis. "Multi-objective optimization of an interior permanent magnet motor." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=116021.
Повний текст джерелаSindler, Petr. "Study of an error in engine ECU data collected for in-use emissions testing and development and evaluation of a corrective procedure." Morgantown, W. Va. : [West Virginia University Libraries], 2007. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=5246.
Повний текст джерелаTitle from document title page. Document formatted into pages; contains vii, 63 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 58).
Snider, Laurie Margaret. "Applications for keyboarding with students with motor dysfunction." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26923.
Повний текст джерелаEducation, Faculty of
Educational and Counselling Psychology, and Special Education (ECPS), Department of
Graduate
Barnett, Ryan A. "Characterization of infield vehicle activity data and exhaust emissions from diesel powered off-road vehicles." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=2094.
Повний текст джерелаTitle from document title page. Document formatted into pages; contains xv, 164 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 154-156).
Brickman, Staffan, and Peter Andersson. "Improving the accuracy of an industrial robotic arm using iterative learning control with data fusion of motor angles and imu sensors." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-48712.
Повний текст джерелаJenkins, William George. "Real-time vehicle performance monitoring with data integrity." Master's thesis, Mississippi State : Mississippi State University, 2006. http://sun.library.msstate.edu/ETD-db/ETD-browse/browse.
Повний текст джерелаO'Brien, Marita A. "Effects of Shape, Letter Arrangements, and Practice on Text Entry on a Virtual Keyboard." Thesis, Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/11499.
Повний текст джерелаNybäck, Björn. "Exhaust Pressure Based Misfire Detection." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235541.
Повний текст джерелаDe delar av denna rapport som är hemligstämplade har ersatts av symbolen□. Även axlar i vissa figurer har raderats av samma skäl.I emissionslagstiftning från California Air Resources Board, CARB, kommermisständningsdetektion för tunga dieselfordon att krävas i ett störrearbetsområde än vad som tidigare kravställts. Industristandard har hittillsvarit varvtalsbaserad misständningsdiagnos, men det är inte uppenbart attden metoden kommer att klara detektion i det utökade lagkravsområdet.Denna rapport visar en alternativ metod för misständningsdetektion sombaseras på uppmätt tryck i avgassamlaren. Metoden som används jämföruppmätt avgastryck mot ett känt mönster. Det har i detta arbete visats attmetoden fungerar vid stationära mätningar i hela lagkravsområdet. Vidare harmätningar visat att avgasbroms kan användas upp till ca □□□ hPa mottryckutan att tryckmönstret ändras signifikant. Inverkan av turbons waste gate vidlåga laster har analyserats och visar låg påverkan i fall då man användermisständning som detektionsmönster. Slutligen har placering avtrycksensorer analyserats. Denna visar att det går att förbättradetektionsförmågan genom att placera sensorn närmare utblåset på dencylinder man önskar förbättra detektionen.
Stefano, Filho Carlos Alberto 1991. "Performance analysis of graph metrics for assessing hand motor imagery tasks from electroencephalography data : Análise de desempenho de métricas de grafos para reconhecimento de tarefas de imaginação motora das mãos a partir de dados de eletroencefalografia." [s.n.], 2016. http://repositorio.unicamp.br/jspui/handle/REPOSIP/305739.
Повний текст джерелаDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Física Gleb Wataghin
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Resumo: Interfaces cérebro-computador (BCIs, brain-computer interfaces) são sistemas cuja finalidade é fornecer um canal de comunicação direto entre o cérebro e um dispositivo externo, como um computador, uma prótese ou uma cadeira de rodas. Por não utilizarem as vias fisiológicas convencionais, BCIs podem constituir importantes tecnologias assistivas para pessoas que sofreram algum tipo de lesão e, por isso, tiveram sua interação com o ambiente externo comprometida. Os sinais cerebrais a serem extraídos para utilização nestes sistemas devem ser gerados mediante estratégias específicas. Nesta dissertação, trabalhamos com a estratégia de imaginação motora (MI, motor imagery), e extraímos a resposta cerebral correspondente a partir de dados de eletroencefalografia (EEG). Os objetivos do trabalho foram caracterizar as redes cerebrais funcionais oriundas das tarefas de MI das mãos e explorar a viabilidade de utilizar métricas da teoria de grafos para a classificação dos padrões mentais, gerados por esta estratégia, de usuários de um sistema BCI. Para isto, fez-se a hipótese de que as alterações no espectro de frequências dos sinais de eletroencefalografia devidas à MI das mãos deveria, de alguma forma, se refletir nos grafos construídos para representar as interações cerebrais corticais durante estas tarefas. Em termos de classificação, diferentes conjuntos de pares de eletrodos foram testados, assim como diferentes classificadores (análise de discriminantes lineares ¿ LDA, máquina de vetores de suporte ¿ SVM ¿ linear e polinomial). Os três classificadores testados tiveram desempenho similar na maioria dos casos. A taxa média de classificação para todos os voluntários considerando a melhor combinação de eletrodos e classificador foi de 78%, sendo que alguns voluntários tiveram taxas de acerto individuais de até 92%. Ainda assim, a metodologia empregada até o momento possui várias limitações, sendo a principal como encontrar os pares ótimos de eletrodos, que variam entre voluntários e aquisições; além do problema da realização online da análise
Abstract: Brain-computer interfaces (BCIs) are systems that aim to provide a direct communication channel between the brain and an external device, such as a computer, a prosthesis or a wheelchair. Since BCIs do not use the conventional physiological pathways, they can constitute important assistive technologies for people with lesions that compromised their interaction with the external environment. Brain signals to be extracted for these systems must be generated according to specific strategies. In this dissertation, we worked with the motor imagery (MI) strategy, and we extracted the corresponding cerebral response from electroencephalography (EEG) data. Our goals were to characterize the functional brain networks originating from hands¿ MI and investigate the feasibility of using metrics from graph theory for the classification of mental patterns, generated by this strategy, of BCI users. We hypothesized that frequency alterations in the EEG spectra due to MI should reflect themselves, in some manner, in the graphs representing cortical interactions during these tasks. For data classification, different sets of electrode pairs were tested, as well as different classifiers (linear discriminant analysis ¿ LDA, and both linear and polynomial support vector machines ¿ SVMs). All three classifiers tested performed similarly in most cases. The mean classification rate over subjects, considering the best electrode set and classifier, was 78%, while some subjects achieved individual hit rates of up to 92%. Still, the employed methodology has yet some limitations, being the main one how to find the optimum electrode pairs¿ sets, which vary among subjects and among acquisitions; in addition to the problem of performing an online analysis
Mestrado
Física
Mestre em Física
165742/2014-3
1423625/2014
CNPQ
CAPES
Pang, Shih-Hao. "Life cycle inventory incorporating fuel cycle and real-world in-use measurement data for construction equipment and vehicles." 2007. http://www.lib.ncsu.edu/theses/available/etd-12152007-080346/unrestricted/etd.pdf.
Повний текст джерелаКниги з теми "Diesel motor Data processing"
Buys, Clifford R. Motor carrier/shipper electronic data exchange. Alexandria, Va. (2200 Mill Rd., Alexandria 22314): The Associations, 1985.
Знайти повний текст джерелаBuys, Clifford R. Motor carrier/shipper electronic data interchange. 2nd ed. Alexandria, Va. (2200 Mill Rd., Alexandria 22314): The Associations, 1987.
Знайти повний текст джерелаI, Volodin A. Modelirovanie na ĖVM raboty teplovoznykh dizeleĭ. Moskva: "Transport", 1985.
Знайти повний текст джерелаChen, M. J. Generation systems software: Steam, gas and diesel plant. London: Chapman & Hall, 1996.
Знайти повний текст джерелаSatyanarayana, Ch. Processing and testing of biodiesel fuels. New Delhi: Serials Publications, 2009.
Знайти повний текст джерелаBuys, Clifford R. MCMS: Motor carrier management systems. 3rd ed. Alexandria, Va. (2200 Mill Rd., Alexandria 22314): ATA, 1987.
Знайти повний текст джерелаSatyanarayana, Ch. Processing and testing of biodiesel fuels. New Delhi: Serials Publications, 2009.
Знайти повний текст джерелаSatyanarayana, Ch. Processing and testing of biodiesel fuels. New Delhi: Serials Publications, 2009.
Знайти повний текст джерелаSatyanarayana, Ch. Processing and testing of biodiesel fuels. New Delhi: Serials Publications, 2009.
Знайти повний текст джерелаSatyanarayana, Ch. Processing and testing of biodiesel fuels. New Delhi: Serials Publications, 2009.
Знайти повний текст джерелаЧастини книг з теми "Diesel motor Data processing"
Li, Junhua, Zbigniew Struzik, Liqing Zhang, and Andrzej Cichocki. "Spectral Power Estimation for Unevenly Spaced Motor Imagery Data." In Neural Information Processing, 168–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-42054-2_22.
Повний текст джерелаHettiarachchi, Imali Thanuja, Thanh Thi Nguyen, and Saeid Nahavandi. "Motor Imagery Data Classification for BCI Application Using Wavelet Packet Feature Extraction." In Neural Information Processing, 519–26. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12643-2_63.
Повний текст джерелаYenikieiev, Oleksandr, Dmytro Zakharenkov, Yevhen Korotenko, Olexii Razzhyvin, Ihor Yakovenko, Fatima Yevsyukova, and Olena Naboka. "A Computer System for Reliable Operation of a Diesel Generator on the Basis of Indirect Measurement Data Processing." In International Conference on Reliable Systems Engineering (ICoRSE) - 2022, 30–44. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15944-2_4.
Повний текст джерелаDixit, Monika, and Smita Shandilya. "Parameter Estimation of an High Performance I.M. Drive for Sensorless Operation." In Advances in Computer and Electrical Engineering, 325–46. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9911-3.ch016.
Повний текст джерелаAltosole, Marco, Flavio Balsamo, Maria Acanfora, Luigia Mocerino, Ugo Campora, and Francesco Perra. "A Digital Twin Approach to the Diagnostic Analysis of a Marine Diesel Engine." In Progress in Marine Science and Technology. IOS Press, 2022. http://dx.doi.org/10.3233/pmst220025.
Повний текст джерелаBurlaka, Serhiy, and Natalia Telekalo. "MODERNIZATION OF THE POWER SUPPLY SYSTEM OF A DIESEL POWER PLANT." In Modernization of research area: national prospects and European practices. Publishing House “Baltija Publishing”, 2022. http://dx.doi.org/10.30525/978-9934-26-221-0-10.
Повний текст джерелаZhu, Huawei, Yihao Mao, Yiming Zhao, Liyuan Shi, and Yanli Shao. "Short-Term Traffic Flow Prediction Method Based on Spatio-Temporal Characteristics of Complex Road Network." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220060.
Повний текст джерелаAjali-Hernández, Nabil, and Carlos M. Travieso-González. "Analysis of Brain Computer Interface Using Deep and Machine Learning." In Artificial Intelligence. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.106964.
Повний текст джерелаKemmerer, David. "The Perspective from Cognitive Neuroscience." In Concepts in the Brain, 29–60. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190682620.003.0002.
Повний текст джерелаDale, Peter, and John McLaughlin. "Land Information Management." In Land Administration. Oxford University Press, 2000. http://dx.doi.org/10.1093/oso/9780198233909.003.0012.
Повний текст джерелаТези доповідей конференцій з теми "Diesel motor Data processing"
Li, Li, Yong-tao Long, and Ming Yan. "Motor Testing Data Processing with Hybrid Programming Technology." In 2009 First International Conference on Information Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icise.2009.761.
Повний текст джерелаGunay, Sezen Yagmur, Elif Hocaoglu, Volkan Patoglu, and Mujdat Cetin. "Detection of motor task difficulty level from EEG data." In 2016 24th Signal Processing and Communication Application Conference (SIU). IEEE, 2016. http://dx.doi.org/10.1109/siu.2016.7495903.
Повний текст джерелаGunay, Sezen Yagmur, Elif Hocaoglu, Volkan Patoglu, and Mujdat Cetin. "Classification of motor task execution speed from EEG data." In 2016 24th Signal Processing and Communication Application Conference (SIU). IEEE, 2016. http://dx.doi.org/10.1109/siu.2016.7496225.
Повний текст джерелаSchmidt, Alexander, and Walter Kellermann. "Informed Ego-noise Suppression Using Motor Data-driven Dictionaries." In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019. http://dx.doi.org/10.1109/icassp.2019.8682570.
Повний текст джерелаAltindis, Fatih, Bulent Yilmaz, Sergey Borisenok, and Kutay Icoz. "Use of Topological Data Analysis in Motor Intention Based Brain-Computer Interfaces." In 2018 26th European Signal Processing Conference (EUSIPCO). IEEE, 2018. http://dx.doi.org/10.23919/eusipco.2018.8553382.
Повний текст джерелаOikonomou, Vangelis P., Spiros Nikolopoulos, and Ioannis Kompatsiaris. "A Multitask Bayesian Framework for the analysis of Motor Imagery EEG Data." In 2022 30th European Signal Processing Conference (EUSIPCO). IEEE, 2022. http://dx.doi.org/10.23919/eusipco55093.2022.9909921.
Повний текст джерелаCao, Shuhua, Dayong Ning, and Jiujun Xu. "Air Valve Clearance Fault Diagnosis of Diesel Engine Based on Acoustic Signal Data Processing." In 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/meic-15.2015.286.
Повний текст джерелаSafronova, Valeria P., and Pavel A. Daragan. "Problems of Data Processing in Acoustic Emission Nondestructive Testing Systems for Ship’s Diesel Engines." In 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). IEEE, 2019. http://dx.doi.org/10.1109/eiconrus.2019.8657015.
Повний текст джерелаYetis, Hasan, Mehmet Karakose, Ilhan Aydin, and Erhan Akin. "Bearing Fault Diagnosis in Traction Motor Using the Features Extracted from Filtered Signals." In 2019 International Artificial Intelligence and Data Processing Symposium (IDAP). IEEE, 2019. http://dx.doi.org/10.1109/idap.2019.8875901.
Повний текст джерелаYang, Yuan, Olexiy Kyrgyzov, Joe Wiart, and Isabelle Bloch. "Subject-specific channel selection for classification of motor imagery electroencephalographic data." In ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2013. http://dx.doi.org/10.1109/icassp.2013.6637856.
Повний текст джерела