Journal articles: 'Online diagnostický systém'

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Wróblewski, Sławomir, and Andrzej Napieralski. "A Multichannel Measurement System for Online Turbogenerator Vibration Diagnostics." IEEE Transactions on Energy Conversion 27, no. 4 (December 2012): 978–83. http://dx.doi.org/10.1109/tec.2012.2208645.

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Kumara, Soundar R. T., and Jinwhan Lee. "Intelligent Integrated Diagnostics: Development of the Diagnostics System for Online Quality Control of Powder Injection Molding." CIRP Annals 44, no. 1 (1995): 393–98. http://dx.doi.org/10.1016/s0007-8506(07)62349-x.

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Korovin, Iakov S., and Maxim V. Khisamutdinov. "Neuronetwork Decision Support System for Oilfield Equipment Condition Online Monitoring." Advanced Materials Research 902 (February 2014): 409–15. http://dx.doi.org/10.4028/www.scientific.net/amr.902.409.

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In this paper we offer the solution of the problem of oil-extracting production efficiency and safety raise by decision support system (DSS) application developed on the artificial neuronetwork technology basis. The description of new database knowledge discovery neuronetwork methods, applied for diagnostics and forecasting is provided. The architecture and the functions of DSS applied for oilfield objects state online monitoring, developed on proposed methods and algorithms basis, is described.

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Kozitsin, Viacheslav, Iurii Katser, and Dmitry Lakontsev. "Online Forecasting and Anomaly Detection Based on the ARIMA Model." Applied Sciences 11, no. 7 (April 2, 2021): 3194. http://dx.doi.org/10.3390/app11073194.

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Real-time diagnostics of complex technical systems such as power plants are critical to keep the system in its working state. An ideal diagnostic system must detect any fault in advance and predict the future state of the technical system, so predictive algorithms are used in the diagnostics. This paper proposes a novel, computationally simple algorithm based on the Auto-Regressive Integrated Moving Average model to solve anomaly detection and forecasting problems. The good performance of the proposed algorithm was confirmed in numerous numerical experiments for both anomaly detection and forecasting problems. Moreover, a description of the Autoregressive Integrated Moving Average Fault Detection (ARIMAFD) library, which includes the proposed algorithms, is provided in this paper. The developed algorithm proves to be an efficient algorithm and can be applied to problems related to anomaly detection and technological parameter forecasting in real diagnostic systems.

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Ding, Shuiting, Ye Yuan, Naiyu Xue, and Xiaofeng Liu. "Online Fault-Tolerant Onboard Aeroengine Model Tuning Structure." International Journal of Aerospace Engineering 2016 (2016): 1–15. http://dx.doi.org/10.1155/2016/7904657.

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Online onboard aeroengine models (OBEMs) have been widely used in health management, fault diagnostics, and fault-tolerant control. A mismatch between the OBEM and the actual engine may be caused by a variety of factors such as health degradation or sensor fault and may influence the effectiveness of the systems mentioned above. However, mismatch caused by unpredictable sensor fault is hardly distinguished from that caused by health degradation through the tuning process. A fault-tolerant OBEM tuning structure is provided to perform the online tuning function when health degradation and sensor fault coexist. This system includes three parts that include improved fault diagnostics and isolation (IFDI), a fault-tolerant OBEM tuning system (FTOTS), and a channel switching module. IFDI is used to distinguish the cause of mismatch and provide fault information, a FTOTS is used to complete an online tuning process based on information obtained from the IFDI, and the channel switching module is used to switch the working process from the IFDI to the FTOTS. Several simulation results show that this system is able to distinguish the causes of mismatch and complete online tuning in the case of sensor faults.

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Kryukov, O. V., and A. V. Serebryakov. "A system of online diagnostics of the technical condition of wind power plants." Russian Electrical Engineering 86, no. 4 (April 2015): 208–12. http://dx.doi.org/10.3103/s1068371215040069.

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Rahman, Musfiq, and Bruce R. Childers. "Asteroid: Scalable Online Memory Diagnostics for Multi-core, Multi-socket Servers." International Journal of Parallel Programming 44, no. 5 (February 18, 2016): 949–74. http://dx.doi.org/10.1007/s10766-016-0400-2.

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Puchalski, Andrzej, and Iwona Komorska. "Online Fault Diagnosis of Automotive Powernets by Kalman Filtering." Key Engineering Materials 588 (October 2013): 209–13. http://dx.doi.org/10.4028/www.scientific.net/kem.588.209.

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The paper discusses real-time parameters identification methods of the mechatronics subsystems in the automobile for the on-board diagnostics and adaptive control. In particular, the significant increase in electric power consumption requires predictive management strategy that detects critical loads situations. To accomplish these goals we investigated diverse vehicular powernet circuits and devices. This paper presents the results of the extended Kalman filtering algorithm for the parameters estimation of the wiring harness of a cooling fan system.

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Kasprowski, Pawel, and Katarzyna Harezlak. "Vision Diagnostics and Treatment System for Children with Disabilities." Journal of Healthcare Engineering 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/9481328.

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Vision plays a crucial role in children’s mental development. Therefore, early diagnosis of any vision disparities and implementation of a correct therapy is very important. However, carrying out such a procedure in case of young children and especially children with brain dysfunctions poses some limitations due to cooperation problems. The vision diagnostics and treatment (VisDaT) system presented in this paper is meant to help therapists in proper diagnosis and treatment involving such children. It utilizes a computer connected to two monitors and equipped with a specialized software. The main system components are as follows: an eye tracker recording child’s eye movements and a digital camera monitoring online child’s reactions. The system is equipped with a specialized software, which creates the opportunity to stimulate children’s vision with a dedicated stimulus and post hoc analyses of recorded sessions, which enable making decision as to the future treatment.

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Paoli, Andrea, Matteo Sartini, and Stéphane Lafortune. "Active fault tolerant control of discrete event systems using online diagnostics." Automatica 47, no. 4 (April 2011): 639–49. http://dx.doi.org/10.1016/j.automatica.2011.01.007.

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S.P.M. Sharma B, S., H. Ravishankar Kamath, and V. Siva Brahmaiah Rama. "Modelling of cloud based online access system for solar charge controller." International Journal of Engineering & Technology 7, no. 2.21 (April 20, 2018): 58. http://dx.doi.org/10.14419/ijet.v7i2.21.11836.

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In the current scenario, the considerable necessity of industry is to concatenate heterogeneous hardware components to the cloud based online access system for monitoring and identifying their behavior over a period. Every cloud computing is provided with a secured login credentials for limited access. The main objective of this paper is to record and transmit the readings of the instruments (Solar Charge Controller) to IoT which deals with establishing the suitable Web application on the cloud for Data logging and diagnostics. Using microcontroller information can be transmitted wirelessly with the help of Ethernet or Wi-Fi module. Some of the electrical devices can direct certain parameters to the microcontroller which are handled with the help of Ethernet or Wi-Fi module and connected to the cloud based system which may lessen the overall memory squandered. An attempt has been made to know the status of devices through PC/Laptop/Mobile/Tablet at any place while connected to cloud computing services.

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Aaljoki, Kari. "Automated Quality Assurance of Online NIR Analysers." Journal of Automated Methods and Management in Chemistry 2005, no. 2 (2005): 44–49. http://dx.doi.org/10.1155/jammc.2005.44.

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Modern NIR analysers produce valuable data for closed-loop process control and optimisation practically in real time. Thus it is highly important to keep them in the best possible shape. Quality assurance (QA) of NIR analysers is an interesting and complex issue because it is not only the instrument and sample handling that has to be monitored. At the same time, validity of prediction models has to be assured. A system for fully automated QA of NIR analysers is described. The system takes care of collecting and organising spectra from various instruments, relevant laboratory, and process management system (PMS) data. Validation of spectra is based on simple diagnostics values derived from the spectra. Predictions are validated against laboratory (LIMS) or other online analyser results (collected from PMS). The system features automated alarming, reporting, trending, and charting functions for major key variables for easy visual inspection. Various textual and graphical reports are sent to maintenance people through email. The software was written with Borland Delphi 7 Enterprise. Oracle and PMS ODBC interfaces were used for accessing LIMS and PMS data using appropriate SQL queries. It will be shown that it is possible to take actions even before the quality of predictions is seriously affected, thus maximising the overall uptime of the instrument.

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Zimin, Alexander, Andrey Shumov, Vladislav Troynov, and Ivan Zemtsov. "Online Plasma Diagnostics in the Remote Spectroscopy Laboratory for Practical Training and Experimental Research." Information 11, no. 1 (December 21, 2019): 9. http://dx.doi.org/10.3390/info11010009.

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This paper deals with an integrated Internet-based education laboratory that allows both practical lab sessions and full-blown research projects to be carried out using state-of-the-art experimental facilities. The setup of a system that controls lab equipment via a global computer network is described, and a distributed hardware and software control facility supporting remote lab operations is considered in terms of its structural arrangement and component interaction. We present a computer-aided dispatch-and-information system that allows students to generate their own experiment scenarios, conduct experiments remotely, and store/process experimental results from their personal cabinets. We also discuss the peculiarities of developing a computerized system to support plasma spectroscopy hands-on education and research. Further emphasis is given to the laboratory modernization, regarding both hardware and result processing software.

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Mikołajczyk, Janusz, Jacek Wojtas, Zbigniew Bielecki, Tadeusz Stacewicz, Dariusz Szabra, Paweł Magryta, Artur Prokopiuk, Arkadiusz Tkacz, and Małgorzata Panek. "System of Optoelectronic Sensors for Breath Analysis." Metrology and Measurement Systems 23, no. 3 (September 1, 2016): 481–89. http://dx.doi.org/10.1515/mms-2016-0030.

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AbstractThe paper describes an integrated laser absorption system as a potential tool for breath analysis for clinical diagnostics, online therapy monitoring and metabolic disorder control. The sensors operate basing on cavity enhanced spectroscopy and multi-pass spectroscopy supported by wavelength modulation spectroscopy. The aspects concerning selection of operational spectral range and minimization of interference are also discussed. Tests results of the constructed devices collected with reference samples of biomarkers are also presented. The obtained data provide an opportunity to analyse applicability of optoelectronic sensors in medical screening.

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Englbrecht, Franz, Felix Balling, Thomas Federico Rösch, Matthias Würl, Florian Hans Lindner, Katia Parodi, and Jörg Schreiber. "Characterization of online high dynamic range imaging for laser-driven ion beam diagnostics using visible light." Current Directions in Biomedical Engineering 3, no. 2 (September 7, 2017): 343–46. http://dx.doi.org/10.1515/cdbme-2017-0070.

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AbstractLaser-driven acceleration of particle beams is an emerging modality under research for biomedical applications. The spatially resolved diagnostics of laser-accelerated proton bunches is crucial for their application. The RadEye detector, featuring up to 10 cm x 5 cm area of online complementary metal-oxide-semiconductor (CMOS) detector made of 48 μm pixels, is established for x-ray, proton and ion beam diagnostics. We exploit the usually undesired ‘Image lag’ phenomenon of incomplete pixel reset to generate 2D-images with a larger dynamic range than the single frame range of 12-bit. Using 532 nm laser pulses and computer simulations for single-slit diffraction, calibration factors to stack multiple readouts were successfully derived to quantitatively reconstruct spatial information about an optical beam and hence extend the dynamic range of the detector compared to a single frame. The final goal is focus quantification for a permanent magnet quadrupole system for protons and terawatt (TW-class) laser focus diagnostics.

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Nikula, Riku-Pekka, Marko Paavola, Mika Ruusunen, and Joni Keski-Rahkonen. "Towards online adaptation of digital twins." Open Engineering 10, no. 1 (August 23, 2020): 776–83. http://dx.doi.org/10.1515/eng-2020-0088.

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AbstractDigital twins have gained a lot of attention in modern day industry, but practical challenges arise from the requirement of continuous and real-time data integration. The actual physical systems are also exposed to disturbances unknown to the real-time simulation. Therefore, adaptation is required to ensure reliable performance and to improve the usability of digital twins in monitoring and diagnostics. This study proposes a general approach to the real-time adaptation of digital twins based on a mechanism guided by evolutionary optimization. The mechanism evaluates the deviation between the measured state of the real system and the estimated state provided by the model under adaptation. The deviation is minimized by adapting the model input based on the differential evolution algorithm. To test the mechanism, the measured data were generated via simulations based on a physical model of the real system. The estimated data were generated by a surrogate model, namely a simplified version of the physical model. A case study is presented where the adaptation mechanism is applied on the digital twin of a marine thruster. Satisfactory accuracy was achieved in the optimization during continuous adaptation. However, further research is required on the algorithms and hardware to reach the real-time computation requirement.

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Zhou, Jun, Yuan Liu, and Tianhong Zhang. "Analytical Redundancy Design for Aeroengine Sensor Fault Diagnostics Based on SROS-ELM." Mathematical Problems in Engineering 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/8153282.

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Analytical redundancy technique is of great importance to guarantee the reliability and safety of aircraft engine system. In this paper, a machine learning based aeroengine sensor analytical redundancy technique is developed and verified through hardware-in-the-loop (HIL) simulation. The modified online sequential extreme learning machine, selective updating regularized online sequential extreme learning machine (SROS-ELM), is employed to train the model online and estimate sensor measurements. It selectively updates the output weights of neural networks according to the prediction accuracy and the norm of output weight vector, tackles the problems of singularity and ill-posedness by regularization, and adopts a dual activation function in the hidden nodes combing neural and wavelet theory to enhance prediction capability. The experimental results verify the good generalization performance of SROS-ELM and show that the developed analytical redundancy technique for aeroengine sensor fault diagnosis based on SROS-ELM is effective and feasible.

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Loboda, Igor, Luis Angel Miró Zárate, Sergiy Yepifanov, Cristhian Maravilla Herrera, and Juan Luis Pérez Ruiz. "Estimation of Gas Turbine Unmeasured Variables for an Online Monitoring System." International Journal of Turbo & Jet-Engines 37, no. 4 (November 18, 2020): 413–28. http://dx.doi.org/10.1515/tjj-2017-0065.

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AbstractOne of the main functions of gas turbine monitoring is to estimate important unmeasured variables, for instance, thrust and power. Existing methods are too complex for an online monitoring system. Moreover, they do not extract diagnostic features from the estimated variables, making them unusable for diagnostics. Two of our previous studies began to address the problem of “light” algorithms for online estimation of unmeasured variables. The first study deals with models for unmeasured thermal boundary conditions of a turbine blade. These models allow an enhanced prediction of blade lifetime and are sufficiently simple to be used online. The second study introduces unmeasured variable deviations and proves their applicability. However, the algorithms developed were dependent on a specific engine and a specific variable. The present paper proposes a universal algorithm to estimate and monitor any unmeasured gas turbine variables. This algorithm is based on simple data-driven models and can be used in online monitoring systems. It is evaluated on real data of two different engines affected by compressor fouling. The results prove that the estimates of unmeasured variables are sufficiently accurate, and the deviations of these variables are good diagnostic features. Thus, the algorithm is ready for practical implementation.

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Trohák, Attila, Béla Illés, and Zoltán Biró. "CAN Message Filter Algorithms for Remote Diagnostics of Vehicles." Applied Mechanics and Materials 309 (February 2013): 213–20. http://dx.doi.org/10.4028/www.scientific.net/amm.309.213.

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Remote diagnostics means the substitution of regular in-place diagnostic processes with methods based on telecommunication networks. This includes online monitoring of the vehicles' On-Board systems. Those corporations run on logistics, transportation, using these devices experience in order to increase reliability and decrease down-time of their vehicles. In our paper we introduce our research results on how to make possible remote diagnostics of vehicles through a GSM system. For remote diagnostics through GSM network, it is necessary to reduce the amount of data to be transmitted. We explain our implemented filter algorithms developed into a programmable controller for the reduction of communication load.

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Bin Lu and V. C. Gungor. "Online and Remote Motor Energy Monitoring and Fault Diagnostics Using Wireless Sensor Networks." IEEE Transactions on Industrial Electronics 56, no. 11 (November 2009): 4651–59. http://dx.doi.org/10.1109/tie.2009.2028349.

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Thiru Kumaran, Gheena S, and Gayatri Devi R. "Knowledge and Awareness about Recent Advances in HIV Diagnostics Among General Population-A Survey." International Journal of Research in Pharmaceutical Sciences 11, SPL3 (October 9, 2020): 1165–70. http://dx.doi.org/10.26452/ijrps.v11ispl3.3359.

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HIV (Human immunodeficiency virus) is a virus which cripples the immune system and causes AIDS; with no effective cure. It can be diagnosed by many techniques like HIV-Antigen/antibody test, Nucleic acid test-CD4 T Cell count, viral load (HIV RNA)-drug-resistant, complications test, tuberculosis, hepatitis B or C-STIS, Liver or kidney damage. The aim of this study was to assess the popular perception about the advances in diagnostics of HIV among the general population. An online survey with a self-structured questionnaire was prepared based on the advances in diagnostics of HIV/AIDS. A questionnaire containing 10 questions was distributed among the general population through an online survey platform. Results were analyzed using SPSS software version 2.0. 37% of them were aware of the various HIV diagnostic tests and the majority were not aware. 92% of the population believed that Antigen/antibody test can also be a diagnostic test for HIV. 69% were familiar about the recent testing methods which have the potency to diagnose p24. Based on this survey, it was concluded that the general population was well aware about the recent techniques of diagnostics used in HIV.

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Zangrando, Marco, Daniele Cocco, Claudio Fava, Simone Gerusina, Riccardo Gobessi, Nicola Mahne, Eric Mazzucco, Lorenzo Raimondi, Luca Rumiz, and Cristian Svetina. "Recent results of PADReS, the Photon Analysis Delivery and REduction System, from the FERMI FEL commissioning and user operations." Journal of Synchrotron Radiation 22, no. 3 (April 16, 2015): 565–70. http://dx.doi.org/10.1107/s1600577515004580.

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The Photon Analysis Delivery and REduction System of FERMI (PADReS) has been routinely used during the machine commissioning and operations of FERMI since 2011. It has also served the needs of several user runs at the facility from late 2012. The system is endowed with online and shot-to-shot diagnostics giving information about intensity, spatial-angular distribution, spectral content, as well as other diagnostics to determine coherence, pulse lengthetc. Moreover, PADReS is capable of manipulating the beam in terms of intensity and optical parameters. Regarding the optics, besides a standard refocusing system based on an ellipsoidal mirror, the Kirkpatrick–Baez active optics systems are key elements and have been used intensively to meet users' requirements. A general description of the system is given, together with some selected results from the commissioning/operations/user beam time.

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Walczak, Krzysztof, and Wojciech Sikorski. "Non-Contact High Voltage Measurement in the Online Partial Discharge Monitoring System." Energies 14, no. 18 (September 14, 2021): 5777. http://dx.doi.org/10.3390/en14185777.

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The article presents an innovative system for non-contact high voltage (HV) measurement, which extends the measurement capabilities of a portable partial discharges (PD) monitoring system intended for diagnostics of power transformers. The proposed method and the developed measuring system are based on the use of a capacitive probe, thanks to which the high voltage measurement is safe (galvanic separation from the objects at ahigh potential). It is also flexible because the voltage ratio of this system can be configured in a wide range by changing the probe’s position. The proposed solution makes the portable PD monitoring system fully autonomous and independent of the substation systems and devices. The article presents both the concept of the non-contact HV measurement system and its practical implementation. The procedure for determining the voltage ratio and measurement uncertainty, which is at an acceptable level of 1–5% in laboratory conditions, was discussed in detail. In addition, the article discusses the digital filtering and wavelet de-noising methods implemented in the software of the monitoring system, which makes it possible to measure the voltage in the presence of strong electromagnetic disturbances occurring at the substation. Finally, the results of field tests carried out on a 250 MVA power transformer are presented, which confirmed the high accuracy of the HV measurement using a capacitive probe and the advantages of this technique.

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Danina, M. M., N. V. Kiselnikova, E. A. Kuminskaya, and P. Greskova. "Methods for Preventing Depression on Digital Platforms and in Social Media." Клиническая и специальная психология 8, no. 3 (2019): 101–24. http://dx.doi.org/10.17759/cpse.2019080306.

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The prevalence of depression among the population estimated at 8-12%. The World Health Organization admits that the existing help system is not sufficiently successful in dealing with depression, and gives priority to online methods – accessible and anonymous. So it can be used by a large number of people and can help to overcome the problem of stigmatization of people with depression. In the article current trends in using online diagnostics tools (mobile applications and gadgets) are discussed and detection of groups with depression risk in social media digital footprints are analyzed. The prospect of research consists in studying the mechanisms and identifying specific components of programs related to the preventive effect, as well as the possibilities of using online methods to work with other mental disorders.

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Queiroz, Luciana, and Samuel Miranda Mattos. "SENTIMENTOS VIVENCIADOS POR GESTANTES COM DIAGNOSTICO DE DIABETES GESTACIONAL : REVISÃO DE ESCOPO." RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218 2, no. 7 (August 23, 2021): e27564. http://dx.doi.org/10.47820/recima21.v2i7.564.

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Ao abordar sentimentos vivenciados por gestantes com diabetes mellitus gestacional (DMG), esta revisão de escopo tem o objetivo de mapear, na literatura, as principais dificuldades que permeiam a vida das gestantes com diagnóstico de DMG. O levantamento de dados foi feito no período de agosto de 2020 nas fontes de dados da Biblioteca Virtual em Saúde (BVS), Base de Dados de Enfermagem (BDENF), Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS), Medical Literature Analysis and Retrieval System Online (MEDLINE) e Scientific Electronic Library Online (SciELO), bem como na literatura cinza. O processo de aprendizado acerca dessa patologia pode ser difícil e, em alguns casos, pode estar relacionado à baixa escolaridade da gestante ou a fatores psíquicos, como negação da patologia, ansiedade, angústia, medo, insegurança, impotência, entre outros sentimentos gerados com as restrições alimentares, privação de sono, hipertensão etc. Assim, sugere-se intensificar pesquisas com vista à promoção de saúde e à prevenção dos agravos às gestantes com DMG, a fim de diminuir a morbimortalidade materno-fetal.

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Serik, G., K. Kirgizov, G. Muftakhova, S. Kogan, and S. Varfolomeeva. "Continuous Medical Education in Pediatric Oncology As Successful Approach for Improvement of Early Diagnostics and Treatment." Journal of Global Oncology 4, Supplement 2 (October 1, 2018): 165s. http://dx.doi.org/10.1200/jgo.18.62100.

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Background and context: Continuous medical education (CME) is very important in improvement of knowledge in all field of pediatrics. CME in pediatric oncology could be aimed both for oncologists and pediatricians. Aim: We aimed to organize CME system in the field of pediatric oncology for oncologists and pediatricians. Strategy/Tactics: Continuous education for improvement of knowledge for all pediatric oncologists and pediatricians based on Russian CME system. This system was organized by the Ministry of Health and National Medical Chamber and based on continuous work of professional medical societies. Each society could propose their educational activities and receive accreditation (participants receiving educational credits). Specialist required receiving education in pediatric oncology participating this system, obtaining credits and getting new knowledge. Program/Policy process: The National Society of Pediatric Hematologists and Oncologists (NSPHO) organized a system of educational seminars in pediatric oncology with CME status and approved credits in different regions of the Russian Federation. NSPHO organizing one seminar per month, 12 seminars per year. Each seminar has three major components: organization (meetings with governments of regions), education (lectures and discussions) and workshops. These seminars are free of charge for all regions and organized with the help of resources of NSPHO. A special report with recommendations for improvement of pediatric cancer care prepared after each seminar and transferred to the Government and Ministry of Health. NSPHO organized also online CME courses with accreditation. To estimate the effectiveness of seminars we are doing surveys and estimation of quality of cancer treatment. Outcomes: All 86 centers and departments of pediatric hematology/oncology in Russia participating this system. All members of NSPHO (about 1200 participants) are studied within the single educational program including governmental certification and Russian CME educational meetings/seminars as well as online CME seminars. CME education in pediatric hematology/oncology and immunology for pediatricians allowed studying more than 1000 specialists during 2017. Estimation by surveys and quality control showed high effectiveness of seminars in early diagnostics and treatment. What was learned: CME platform for online and off-line education in Russia developing rapidly. Nowadays we involved all Russian regions to this work. Results showed high effectiveness of this approach.

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Franchek, Matthew A., Patrick J. Buehler, and Imad Makki. "Intake Air Path Diagnostics for Internal Combustion Engines." Journal of Dynamic Systems, Measurement, and Control 129, no. 1 (May 29, 2006): 32–40. http://dx.doi.org/10.1115/1.2397150.

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Presented is the detection, isolation, and estimation of faults that occur in the intake air path of internal combustion engines during steady state operation. The proposed diagnostic approach is based on a static air path model, which is adapted online such that the model output matches the measured output during steady state conditions. The resulting changes in the model coefficients create a vector whose magnitude and direction are used for fault detection and isolation. Fault estimation is realized by analyzing the residual between the actual sensor measurement and the output of the original (i.e., healthy) model. To identify the structure of the steady state air path model a process called system probing is developed. The proposed diagnostics algorithm is experimentally validated on the intake air path of a Ford 4.6L V-8 engine. The specific faults to be identified include two of the most problematic faults that degrade the performance of transient fueling controllers: bias in the mass air flow sensor and a leak in the intake manifold. The selected model inputs include throttle position and engine speed, and the output is the mass air flow sensor measurement.

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Fedotov, Alexander, Rafik Basyrov, Georgii Vagapov, and Ainur Abdullazyanov. "Practical Implementation of the System of Feeder Diagnostics of Single-Phase Earth Faults with Online Distributed Data Collection." Известия высших учебных заведений. Электромеханика 64, no. 2 (2021): 78–85. http://dx.doi.org/10.17213/0136-3360-2021-2-78-85.

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Single-phase earth faults are one of the main problem of the distribution electrical networks with voltage 6 - 35 kV with isolated neutral. Single-phase earth fault is one of the reasons decrease of the power quality and the reliability of power supply. The paper presents the theoretical base of the monitoring parameters selection during the single-phase earth fault process and its practical implementation as an installed system at a power substation with a 110/10 kV level voltage. The hardware part of the feeder monitoring system allows implementing the determination of feeder with fault and the phase of this feeder with fault without the need to switch off of the feeders. The software part of the system allows for ongoing monitoring of feeders with built-in alarm and viewing the event archive on the supervisor computer.

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Park, Bongsoo, Frank Martin, David M. Geiser, Hye-Seon Kim, Michele A. Mansfield, Ekaterina Nikolaeva, Sook-Young Park, et al. "Phytophthora Database 2.0: Update and Future Direction." Phytopathology® 103, no. 12 (December 2013): 1204–8. http://dx.doi.org/10.1094/phyto-01-13-0023-r.

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The online community resource Phytophthora database (PD) was developed to support accurate and rapid identification of Phytophthora and to help characterize and catalog the diversity and evolutionary relationships within the genus. Since its release in 2008, the sequence database has grown to cover 1 to 12 loci for ≈2,600 isolates (representing 138 described and provisional species). Sequences of multiple mitochondrial loci were added to complement nuclear loci-based phylogenetic analyses and diagnostic tool development. Key characteristics of most newly described and provisional species have been summarized. Other additions to improve the PD functionality include: (i) geographic information system tools that enable users to visualize the geographic origins of chosen isolates on a global-scale map, (ii) a tool for comparing genetic similarity between isolates via microsatellite markers to support population genetic studies, (iii) a comprehensive review of molecular diagnostics tools and relevant references, (iv) sequence alignments used to develop polymerase chain reaction-based diagnostics tools to support their utilization and new diagnostic tool development, and (v) an online community forum for sharing and preserving experience and knowledge accumulated in the global Phytophthora community. Here we present how these improvements can support users and discuss the PD's future direction.

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Korczewski, Zbigniew. "Exhaust Gas Temperature Measurements in Diagnostics of Turbocharged Marine Internal Combustion Engines Part I Standard Measurements." Polish Maritime Research 22, no. 1 (January 1, 2015): 47–54. http://dx.doi.org/10.1515/pomr-2015-0007.

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Abstract The article discusses the problem of diagnostic informativeness of exhaust gas temperature measurements in turbocharged marine internal combustion engines. Theoretical principles of the process of exhaust gas flow in turbocharger inlet channels are analysed in its dynamic and energetic aspects. Diagnostic parameters are defined which enable to formulate general evaluation of technical condition of the engine based on standard online measurements of the exhaust gas temperature. A proposal is made to extend the parametric methods of diagnosing workspaces in turbocharged marine engines by analysing time-histories of enthalpy changes of the exhaust gas flowing to the turbocompressor turbine. Such a time-history can be worked out based on dynamic measurements of the exhaust gas temperature, performed using a specially designed sheathed thermocouple. The first part of the article discusses possibilities to perform diagnostic inference about technical condition of a marine engine with pulse turbocharging system based on standard measurements of exhaust gas temperature in characteristic control cross-sections of its thermal and flow system. Selected metrological issues of online exhaust gas temperature measurements in those engines are discusses in detail, with special attention being focused on the observed disturbances and thermodynamic interpretation of the recorded measuring signal. Diagnostic informativeness of the exhaust gas temperature measurements performed in steady-state conditions of engine operation is analysed in the context of possible evaluations of technical condition of the engine workspaces, the injection system, and the fuel delivery process.

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Thumati, Balaje T., Gary R. Halligan, and S. Jagannathan. "A Novel Fault Diagnostics and Prediction Scheme Using a Nonlinear Observer With Artificial Immune System as an Online Approximator." IEEE Transactions on Control Systems Technology 21, no. 3 (May 2013): 569–78. http://dx.doi.org/10.1109/tcst.2012.2186635.

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Zhang, Jin Zhao. "Construction of Experimental Platform for Multi-Motor System Synchronization Control." Advanced Materials Research 588-589 (November 2012): 438–41. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.438.

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According to the three-motor synchronous system, S7-300PLC is as the controller .The three-motors synchronization control platform is constructed based on PC monitoring configuration software of WinCC, so the combination of drive, testing, monitoring, communications and other systems are optimized. The programming software for the lower computer is STEP7V5.3 which supports S7-300PLC.In addition to the hardware configuration, parameter setting, the communications configuration and programming, its function includes starting, maintenance, operation and diagnostics, etc. Then, the system can not only run under the operating system WIN2000/XP matching with the Windows graphical and object-oriented operating principles, but also be provided online debugging capabilities. In the preparation stage of experiment, in order to making the algorithm implementation high accuracy and strong rapid real-time response, the data sample has been optimized to fully reflect the dynamic and static performance of the original system.

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Pawlak, Mariusz. "Active Fault Tolerant Control System for the Measurement Circuit in a Drum Boiler Feed-Water Control System." Measurement and Control 51, no. 1-2 (March 2018): 4–15. http://dx.doi.org/10.1177/0020294018754714.

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This paper presents a water-level control system in a drum boiler. The system was equipped with a fault tolerant control–type diagnostic system. The paper presents the results of tests conducted on the fault tolerant control system implemented in the water-level control system in a boiler drum. The diagnostics of the measurement circuits was carried out online. To that end, the appropriate partial models were developed and tested. This allowed for the application of analytical redundancy for the measurement circuits. The paper also identifies the influence of diagnostics and fault tolerance on the values of reliability indices and operating safety of a power unit. Fault tolerant control systems increase the safety of a power unit operation, and the studies described in the paper directly contribute to them. These kinds of systems have not been used so far in power unit automation. Site tests confirmed the validity of the acquired concept for the diagnostic system. Fault tolerant control systems have not been commonly applied in power engineering yet. Studies of the water-level control system in a steam drum using the fault tolerant control system for the measurement circuits as presented in the paper are original ideas, providing a new solution. All control systems made for the study fulfil their role in a satisfactory way, which results in a minor deviation in the water-level adjustment in the boiler drum. The tests confirmed the efficiency of the fault detection algorithm. The created models of the water level and flows proved to be successful. Under a no-fault condition of the facility, there were no errors in the diagnoses and the values of all residua were below the detection thresholds. This was achieved despite a high value of measurement noises. The residua helped detect minor faults.

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Dindorf, Ryszard, and Piotr Wos. "Universal Programmable Portable Measurement Device for Diagnostics and Monitoring of Industrial Fluid Power Systems." Sensors 21, no. 10 (May 15, 2021): 3440. http://dx.doi.org/10.3390/s21103440.

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This paper presents a new universal programmable portable measuring device (PMD) as a complete, accurate, and efficient solution for monitoring and technical diagnostics of industrial fluid power systems. PMD has programmable functions designed for recording, processing, and graphical visualization of measurement results at the test stand or the place of operation of fluid power systems. PMD has a built-in WiFi communication module for transferring measurement data via Industrial Internet of Things (IIoT) technology for online remote monitoring of fluid power systems. PMD can be programmed for a variety of measuring tasks in servicing, repairing, diagnosing, and monitoring fluid power systems. For this purpose, the fluid dynamic quantity, mechanical quantity, and electrical quantity can be measured. The adjustment of the PMD to the indirect measurement of leakage flow rate in a compressed air system (CAS) is presented in detail. Measuring instruments and PMDs were connected to a branch of the pipeline. The tests used the measurement system to estimate the leakage flow rate through air small nozzles, as well as other CAS indicators.

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Zaki, Osama, Matthew Dunnigan, Valentin Robu, and David Flynn. "Reliability and Safety of Autonomous Systems Based on Semantic Modelling for Self-Certification." Robotics 10, no. 1 (January 3, 2021): 10. http://dx.doi.org/10.3390/robotics10010010.

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A novel modelling paradigm for online diagnostics and prognostics for autonomous systems is presented. A model for the autonomous system being diagnosed is designed using a logic-based formalism. The model supports the run-time ability to verify that the autonomous system is safe and reliable for operation within a dynamic environment. The paradigm is based on the philosophy that there are different types of semantic relationships between the states of different parts of the system. A finite state automaton is devised for each sensed component and some of the non-sensed components. To capture the interdependencies of components within such a complex robotic platform, automatons were related to each other by semantic relationships. Modality was utilised by the formalism to abstract the relationships and to add measures for the possibility and uncertainty of the relationships. The complexity of the model was analysed to evaluate its scalability and applicability to other systems. The results demonstrate that the complexity is not linear and a computational time of 10 ms was required to achieve run-time diagnostics for 2200 KB of knowledge for complex system interdependences. The ability to detect and mitigate hardware related failures was demonstrated within a confined space autonomous operation. Our findings provide evidence of the applicability of our approach for the significant challenge of run-time safety compliance and reliability in autonomous systems.

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Mahmoodi, L., and M. Aliyari Shoorehdeli. "Comments on “A Novel Fault Diagnostics and Prediction Scheme Using a Nonlinear Observer With Artificial Immune System as an Online Approximator”." IEEE Transactions on Control Systems Technology 25, no. 6 (November 2017): 2243–46. http://dx.doi.org/10.1109/tcst.2017.2661828.

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Puzakov, Andrey. "Diagnosing of automotive alternators on thermal state." MATEC Web of Conferences 298 (2019): 00005. http://dx.doi.org/10.1051/matecconf/201929800005.

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Since automotive alternators serve as the primary sources of power onboard of vehicles, the online diagnostics of technical conditions thereof is a relevant task. An advantage of temperature as a diagnostic parameter is sensitivity to most faults at the early stage of their development. Physical modeling of faults (stator one-line open fault, stator turn-to-turn short circuit, stator winding phase-to-phase short circuit, circuit opening and short circuit of rectifier diodes) has been done by forced increase (decrease) of electrical resistance between alternator elements. In order to measure alternator temperature, it has been brought to steady thermal state within 20 minutes. It has been found that the alternator temperature in case of faults can increase the rated temperature by 10-30 °С even when the alternator operates without load. An algorithm has been developed to find alternator faults by evaluating the thermal state thereof, which can become a basis of an onboard automatic online diagnosing system of an automotive alternator.

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Morozov, Sergey P., Ekaterina S. Kuzmina, Natalya V. Ledikhova, Anton V. Vladzymyrskyy, Irina A. Trofimenko, Olesya A. Mokienko, Elena V. Panina, et al. "Mobilizing the academic and practical potential of diagnostic radiology during the COVID-19 pandemic in Moscow." Digital Diagnostics 1, no. 1 (December 30, 2020): 5–12. http://dx.doi.org/10.17816/dd51043.

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At the beginning of the first wave of the COVID-19 pandemic, a network of outpatient CT centers (OCTC) for lung pathology diagnostics in patients with suspected viral pneumonia with the round-the-clock operation was formed in Moscow. The introduction of the CT 0-4 scale allowed for effective routing. To prevent the spread of infection among patients and staff, OCTC zoning was introduced, dividing into red, buffer, and green zones. As part of the mobilization of the Radiology Service, the Moscow Reference Center was established, aimed at quality control, remote expert consultations, and organizational and methodological support. Several online courses and training webinars have been developed. Artificial Intelligence services were connected to recognize the signs of COVID-19 and assess the severity. The developed strategy of the Moscow Radiology Service ensured readiness for the high burden on the city health care system and minimized losses among medical personnel. The experts significantly contributed to effective infection control through accessible, timely, and high-quality diagnostics and routing.

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CIAMPAGLIA, GIOVANNI LUCA. "A FRAMEWORK FOR THE CALIBRATION OF SOCIAL SIMULATION MODELS." Advances in Complex Systems 16, no. 04n05 (August 2013): 1350030. http://dx.doi.org/10.1142/s0219525913500306.

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Simulation with agent-based models is increasingly used in the study of complex socio-technical systems and in social simulation in general. This paradigm offers a number of attractive features, namely the possibility of modeling emergent phenomena within large populations. As a consequence, often the quantity in need of calibration may be a distribution over the population whose relation with the parameters of the model is analytically intractable. Nevertheless, we can simulate. In this paper we present a simulation-based framework for the calibration of agent-based models with distributional output based on indirect inference. We illustrate our method step by step on a model of norm emergence in an online community of peer production, using data from three large Wikipedia communities. Model fit and diagnostics are discussed.

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Pavlenko, Viacheslav, Volodymyr Kuzhel, and Maksym Khorin. "The essence of automobile diagnostics in the implementation of expert systems." Journal of Mechanical Engineering and Transport 12, no. 2 (February 2021): 85–92. http://dx.doi.org/10.31649/2413-4503-2020-12-2-85-92.

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The article discusses the approach to the implementation and use of an expert system for servicing passenger cars using the example of Mercedes cars. After analyzing the development of trends in artificial intelligence, we came to the conclusion that one of the main directions in this area is real-time expert systems. The direction of expert systems is the development of programs that, when solving difficult tasks for a human expert, obtain results that are not inferior in quality and efficiency of solutions obtained by an expert. This approach allows you to create almost any online diagnostic complexes faster than using traditional methods. An important direction in the automotive industry is an accurate and reliable forecast assessment of the main indicators of reliability and serviceability of the car as a whole. Technical diagnostics is an integral part of the technological processes of acceptance, maintenance and repair of vehicles at service stations and is a process of determining the technical condition of the object of diagnosis with a certain accuracy. Purpose of the work: to reveal the essence of the expert approach at the present stage of development of diagnostic systems when servicing passenger cars. The theme of the work is revealed by the example of a modern diagnostic complex with elements of an expert system for diagnosing Mercedes cars. In particular, the work of Star Diagnosis software, which ensures the success of car diagnostics, is considered. A complex, a service specialist, or an expert system has the ability to analyze the condition of the car, the severity of the malfunction, and select methods for repairing the car without having a car at the service station. Ultimately, based on the development of electronic systems and the number of executing elements of various control units in the car, if possible, output a huge amount of information that we can use when servicing it, we can conclude that today the prospect of the development of expert methods and means of diagnosing cars using expert systems is very promising.

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Badža, Milica M., and Marko Č. Barjaktarović. "Segmentation of Brain Tumors from MRI Images Using Convolutional Autoencoder." Applied Sciences 11, no. 9 (May 10, 2021): 4317. http://dx.doi.org/10.3390/app11094317.

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The use of machine learning algorithms and modern technologies for automatic segmentation of brain tissue increases in everyday clinical diagnostics. One of the most commonly used machine learning algorithms for image processing is convolutional neural networks. We present a new convolutional neural autoencoder for brain tumor segmentation based on semantic segmentation. The developed architecture is small, and it is tested on the largest online image database. The dataset consists of 3064 T1-weighted contrast-enhanced magnetic resonance images. The proposed architecture’s performance is tested using a combination of two different data division methods, and two different evaluation methods, and by training the network with the original and augmented dataset. Using one of these data division methods, the network’s generalization ability in medical diagnostics was also tested. The best results were obtained for record-wise data division, training the network with the augmented dataset. The average accuracy classification of pixels is 99.23% and 99.28% for 5-fold cross-validation and one test, respectively, and the average dice coefficient is 71.68% and 72.87%. Considering the achieved performance results, execution speed, and subject generalization ability, the developed network has great potential for being a decision support system in everyday clinical practice.

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Filina, O. A., A. N. Tsvetkov, P. P. Pavlov, D. Radu, and V. M. Butakov. "Vibration model as a system of coupled oscillators in a direct current electric motor." E3S Web of Conferences 124 (2019): 02002. http://dx.doi.org/10.1051/e3sconf/201912402002.

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This article describes a vibration model connected by individual nodes of a DC motor. The purpose of the article is a mathematical model allowing to predict the work of machines with a depreciation resource and search for ways to increase the information content of assessing the functioning of the rolling stock condition without dismantling them. Currently, the operational reliability of the DC motor is reduced after the development of the service life. Study and evaluation of the vibration effect on the brush-collector node. The main components of the DC motor (bearings, electrical brushes) are unrecoverable. Therefore, any interference with their normal operation leads to premature wear of the entire DC motor. Existing methods for life-extending maintain the operational reliability of a DC motor equal or close to the passport data for several years. This model allows vibration diagnostics without dismantling the DC motor and stopping the rolling stock. The mathematical model describes the oscillations of each node of the DC motor in the direction of movement of the rolling stock, showing the excess of the permissible value. After mathematical processing of the results, a machine reliability model under study is obtained (usually in the form of polynomials) as a function of the needed parameters – the influencing factors. Due to this model, pre-detected defects can save on repairs and maintenance in the future. This model is the basis of software for online diagnostics. The proposed model allows providing an objective use of repair and restoration compositions depending on the current technical condition, which will lead to an increase in the service life of the mechanism and savings in operating costs. On the one hand, extending the operating life of a DC motor should produce an economic effect, and on the other hand, technical measures to maintain operational reliability cause an increase in material costs.

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Astapieva, O., V. Starenkiy, G. Grushka, O. Paskevych, and R. Spuzyak. "CURRENT REQUIREMENTS FOR EDUCATIONAL AND METHODOLOGICAL SUPPORTS OF THE EDUCATIONAL PROCESS OF RADIOLOGY AT KHARKOV NATIONAL MEDICAL UNIVERSITY." Український радіологічний та онкологічний журнал 28, no. 1 (March 25, 2020): 40–52. http://dx.doi.org/10.46879/ukroj.1.2020.40-52.

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He most important trends in reforming national education systems in most developed countries are the internationalization of the education system and the integration of the educational space. Both Ukraine and Kharkov National Medical University joined this process. Therefore, at present, the task has arisen of creating unified educational programs for the training of masters in specialty 224 «Technologies for medical diagnostics and treatment» specializing in laboratory diagnostics. Such a curriculum was the silabus created by the Department of Radiology and Radiation Medicine of KNMU, that is, information about the subject of study of a discipline, a description of interdisciplinary connections, goals and objectives of a discipline, competence (integral, general and special) and learning outcomes, a thematic plan, description independent work of students, the definition of knowledge control methods, a description of the assessment of the discipline, a list of educational literature or online sources for preparing students. Unlike the traditional curriculum, the force bus includes exactly three types of competencies, which allow the student to gain experience in successful contact with other students, teachers, in the future — with colleagues and work experience in a «team». In addition to special knowledge and skills, a student at the end of higher education becomes an educated member of a social society, can fulfill not only his professional or professional duty, but also has a certain civic position. In addition, the modern system of higher education involves continuing education throughout the professional life

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Gu, Peiqin, Huajun Chen, and Tong Yu. "Ontology-Oriented Diagnostic System for Traditional Chinese Medicine Based on Relation Refinement." Computational and Mathematical Methods in Medicine 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/317803.

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Although Chinese medicine treatments have become popular recently, the complicated Chinese medical knowledge has made it difficult to be applied in computer-aided diagnostics. The ability to model and use the knowledge becomes an important issue. In this paper, we define the diagnosis in Traditional Chinese Medicine (TCM) as discovering the fuzzy relations between symptoms and syndromes. An Ontology-oriented Diagnosis System (ODS) is created to address the knowledge-based diagnosis based on a well-defined ontology of syndromes. The ontology transforms the implicit relationships among syndromes into a machine-interpretable model. The clinical data used for feature selection is collected from a national TCM research institute in China, which serves as a training source for syndrome differentiation. The ODS analyzes the clinical cases to obtain a statistical mapping relation between each syndrome and associated symptom set, before rechecking the completeness of related symptoms via ontology refinement. Our diagnostic system provides an online web interface to interact with users, so that users can perform self-diagnosis. We tested 12 common clinical cases on the diagnosis system, and it turned out that, given the agree metric, the system achieved better diagnostic accuracy compared to nonontology method—92% of the results fit perfectly with the experts’ expectations.

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Cuca, Colleen, Patrick Scheiermann, Dorothea Hempel, Gabriele Via, Armin Seibel, Magnus Barth, Tim O. Hirche, Felix Walcher, and Raoul Breitkreutz. "Assessment of a New E-Learning System on Thorax, Trachea, and Lung Ultrasound." Emergency Medicine International 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/145361.

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Background. Lung ultrasound has become an emerging tool in acute and critical care medicine. Combined theoretical and hands-on training has been required to teach ultrasound diagnostics. Current computer technology allows for display, explanation, and animation of information in a remote-learning environment.Objective. Development and assessment of an e-learning program for lung ultrasound.Methods. An interactive online tutorial was created. A prospective learning success study was conducted with medical students using a multiple-choice test (Trial A). This e-learning program was used as preparation for a certified course followed by an evaluation of trained doctors (Trial B) by linear analogue scales. Pretests were compared with postcourse tests and sustainability tests as well as a posttest of a one-day custom classroom training.Results. In Trial A, during the learning success study (n=29), the increase of correct answers was 11.7 to 17/20 in the post-test and to 16.6/20 in the sustainability test (relative change 45.1%,P<0.0001). E-learning almost equalled scores of classroom-based training regarding gain and retention of factual knowledge. In Trial B, nineteen participating doctors found a 79.5% increase of knowledge (median, 95% CI: 69%; 88%).Conclusion. The basics of lung ultrasound can be taught in a highly effective manner using e-learning.

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OSADCHUK, Mikhail A., Maxim V. TRUSHIN, Alexey M. OSADCHUK, Ekaterina D. MIRONOVA, Karina S. SOLODENKOVA, and Alisa E. LAZAREVA. "Rehabilitation Tourism Opportunities in the Russian Federation for Recovering COVID-19 Patients." Journal of Environmental Management and Tourism 11, no. 7 (November 30, 2020): 1871. http://dx.doi.org/10.14505//jemt.v11.7(47).25.

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The COVID-19 pandemic determined the necessity for prompt diagnostics and optimal routing of patients, followed by rehabilitation and secondary prevention, as domestic tourism intensifies. The epidemic increased the importance of digital systems for the tourism service market. Digitalization took leading positions in the tourism industry and made market participants adapt to these changes for optimizing their activities and increasing revenues. Further development of tourism in Russia, giving the ongoing pandemic, would require digital technologies such as multilanguage informational services overcoming language barriers, digital tourist cards, mobile apps introducing cultural and national landmarks online, web services for preparing tourist routes. Judging from scientific and practical experience, we can expect that medical, social, physical and psychological rehabilitation supervised by medical personnel will improve body functioning including heart, lungs, central nervous system as well as restore patients’ quality of life in general.

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Geovanna, Willyara, Silvia Caroninne da Luz Alves, and Raquel Vilanova Araújo. "A IMPORTÂNCIA DA INVESTIGAÇÃO DO DISTRESS EM PACIENTES ONCOLÓGICOS: REVISÃO INTEGRATIVA." RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218 2, no. 5 (June 10, 2021): e25309. http://dx.doi.org/10.47820/recima21.v2i5.309.

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Objetivo: Analisar as evidências científicas relacionadas à importância da investigação do distress em pacientes oncológicos e descrever as ações de enfermagem. Metodologia: Trata-se de um estudo de revisão integrativa com busca realizada nas bases de dados da Literatura Latino-Americana e do Caribe em Ciências da Saúde, Banco de Dados em Enfermagem,Medical Literature Analysis and Retrieval System Online e Biblioteca Eletrônica Científica Online, com os descritores em saúde “distress”, “assistência de enfermagem” e “oncologia”. Resultados e discussões: As evidências cientificas apontam que se observa que a avaliação do distress pelos profissionais ainda é tímida nos serviços Brasil, no entanto, é notória sua investigação em indivíduos com câncer, portanto, apontam um maior direcionamento para a terminalidade da vida e em indivíduos sobreviventes da doença. Observa-se ao interesse de pesquisadores em avaliar e validar instrumento que auxiliam no diagnóstico do distress em indivíduos com câncer. Conclusões: É notório a tamanha importância da investigação do distress na oncologia, no entanto ressalta-se a necessidade de pesquisas e, discussões acerca do mesmo, e, portanto, da implantação da investigação do distress na rotina dos serviços de saúde por meio de instrumentos de avaliação a fim de diagnosticar precocemente este sofrimento e prevenir suas complicações.

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Badwe, Rajendra A., Pramesh CS, Sudeep Gupta, Nita S. Nair, Nancy Renee Feldman, and Anil D'Cruz. "Global impact of a clinical informatics system: Scalable delivery of on-time access to evidence-based multidisciplinary expert treatment decisions for all cancers." Journal of Clinical Oncology 35, no. 15_suppl (May 20, 2017): 6502. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.6502.

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6502 Background: There is a scarcity of expert oncologists in the world. Patients in nonurban areas have poor access to evidence-based treatment decisions and worse outcomes. In India, there are ~1600 experts for 1.8 Million patients. Created in May 2014, “TMC NCG Navya Online” is an expert opinion service based on an informatics system. We prospectively study its real-world impact. Methods: Navya exhaustively searches and outputs evidence and experience based treatment options for an individual patient. Its accuracy was validated in trials at TMC (one of the world’s largest tertiary care centers) and UCLA-OVMC. Navya’s patient data summary and treatment options are rapidly reviewed and vetted (1-2 minutes) on mobile by experts from TMC and NCG, (consortium of 104 cancer centers in India). Expert decisions are converted into a simple language report for patients. System generated evidence based information on diagnostics, regimens, side effects etc are also provided. To prospectively assess impact, from July to December 2016, all patients were asked via phone follow-up: 1. If report was shared with treating provider, 2. Final treatments delivered. Results: 9361patients from 22 developing countries registered with TMC NCG Navya Online. 3402 expert decisions were provided and converted into 2614 simple language reports. 5229 patients received system generated evidence based information. Median time to deliver a report was 24 hours. The prospective sample was 582 decisions with a 75% (n = 436) follow-up rate. 74% of reports were shared with treating providers. 73% of TMC NCG Navya’s decisions, (n = 306), were the final treatments delivered. Common reasons for non-implementation included decline in ECOG status and not testing biomarkers (ER/PR etc). Conclusions: Expert oncologists use Navya to provide rapid online opinions to patients across 22 developing countries. Patients shared the expert opinions with their providers and received evidence-based treatments. Expanding the reach and impact of such a service to nonurban USA and the world, can maximize outcomes for patients without ready access to expertise.

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Stepanov, Sergei Yurievich, Pavel Alexandrovich Orzhekovskiy, and Inna Borisovna Mishina. "Creative-digital diagnostics and reflexive development of school students in the course of studying Natural Sciences." SHS Web of Conferences 117 (2021): 04003. http://dx.doi.org/10.1051/shsconf/202111704003.

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The authors of the article raises an issue that is relevant from the perspective of modern education connected with difficulties of using the results of psychological diagnostics of students’ creative thinking carried out with the help of traditional testing techniques within the framework of the actual learning process. To address this issue, it is recommended to use the solutions suggested by the “forming” and “reflexive” approaches to this problem and conduct a synthesis of these two approaches using modern digital technologies. This way, it will provide us with an opportunity to turn developing (forming) procedures into diagnostic and turn diagnostic means into developing. Such a conceptual and technological symbiosis allowed us to create a computer networking system “CREO DATUM” enabling its users to carry out creative-digital diagnostics and psycho-pedagogical support of reflexive development of students’ creative potential at the same time based on the material of one of the natural sciences taught within the school curriculum, namely chemistry. This system includes a database of domain-specific creative tasks by solving which students demonstrate their thinking abilities; digitalization of this process in the online mode allows teachers to monitor and assess the dynamics of such parameters of their creative potential as divergence and criticality. This tool enables the teacher and student to predict the area of future development promptly and select further creative tasks on the subject via “CREO DATUM” taking into consideration the strengths and weaknesses of previous creative efforts. Experimental testing of the “CREO DATUM” system allowed us to categorize the students who took part in the research. Four groups have been identified: children with high creative potential, ones with low creative potential, divergents, and analysts. Methodological recommendations have been developed for each category of students based on the material of a natural science subject aimed at psychological and pedagogical support of their development.

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Termite, Maria Rosaria, Piero Baraldi, Sameer Al-Dahidi, Luca Bellani, Michele Compare, and Enrico Zio. "A Never-Ending Learning Method for Fault Diagnostics in Energy Systems Operating in Evolving Environments." Energies 12, no. 24 (December 16, 2019): 4802. http://dx.doi.org/10.3390/en12244802.

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Condition monitoring (CM) in the energy industry is limited by the lack of pre-classified data about the normal and/or abnormal plant states and the continuous evolution of its operational conditions. The objective is to develop a CM model able to: (1) Detect abnormal conditions and classify the type of anomaly; (2) recognize novel plant behaviors; (3) select representative examples of the novel classes for labeling by an expert; (4) automatically update the CM model. A CM model based on the never-ending learning paradigm is developed. It develops a dictionary containing labeled prototypical subsequences of signal values representing normal conditions and anomalies, which is continuously updated by using a dendrogram to identify groups of similar subsequences of novel classes and to select those subsequences to be labelled by an expert. A 1-nearest neighbor classifier is trained to online detect abnormal conditions and classify their types. The proposed CM model is applied to a synthetic case study and a real case study concerning the monitoring of the tank pressure of an aero derivative gas turbine lube oil system. The CM model provides satisfactory performances in terms of classification accuracy, while remarkably reducing the expert efforts for data labeling and model (periodic) updating.

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Journal articles on the topic 'Online diagnostický systém'

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