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1

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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Hajar Mat Jani, and Rozita Yati Masri. "An Improved Online Mental Status Examination System and Mental Health Diagnostic System." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 3, no. 9 (October 31, 2011): 66–75. http://dx.doi.org/10.4156/aiss.vol3.issue9.9.

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Ge Ming, Xu Yangsheng, and Du Ruxu. "An Intelligent Online Monitoring and Diagnostic System for Manufacturing Automation." IEEE Transactions on Automation Science and Engineering 5, no. 1 (January 2008): 127–39. http://dx.doi.org/10.1109/tase.2006.886833.

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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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Chaoui, Hicham, Asmae El Mejdoubi, Amrane Oukaour, and Hamid Gualous. "Online System Identification for Lifetime Diagnostic of Supercapacitors With Guaranteed Stability." IEEE Transactions on Control Systems Technology 24, no. 6 (November 2016): 2094–102. http://dx.doi.org/10.1109/tcst.2016.2520911.

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Angeli, Chrissanthi, and Derek Atherton. "A Model-Based Method for an Online Diagnostic Knowledge-Based System." Expert Systems 18, no. 3 (July 2001): 150–58. http://dx.doi.org/10.1111/1468-0394.00167.

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Yang, Cheng Gang, Chun Hui Zhang, Jing Yi Zhao, and Shi Ming Zhao. "Research on Active Online Diagnosis Technology of Hydraulic System." Applied Mechanics and Materials 599-601 (August 2014): 1032–35. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.1032.

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Based on the introduction of the hydraulic diagnostic techniques which are commonly used and existed defects in these methods, the active hydraulic diagnosis technology is put forward. Besides, theory analysis of active online test is elaborated. The theory of active diagnose is used in the hydraulic system of heavy transporter to describe online diagnosis method. The results show that the active hydraulic diagnosis is appropriate for all kinds of hydraulic system which is a general diagnosis method.
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Qawqzeh, Yousuf, and Khalid Nazim Abdul Sattar. "Online Diagnostic Expert System for Detection of Breast Cancer in Saudi Arabia." International Journal of Computer Applications 113, no. 6 (March 18, 2015): 40–47. http://dx.doi.org/10.5120/19833-1686.

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Jing, Lu Yang, Tai Yong Wang, Dong Xiang Chen, and Jing Xiang Fang. "Design and Implementation of Online Monitoring and Remote Diagnostic System for CNC Machine Tools." Advanced Materials Research 819 (September 2013): 136–39. http://dx.doi.org/10.4028/www.scientific.net/amr.819.136.

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With the development of network technology and fault diagnosis technology, monitoring and diagnosis methods for the CNC machine tools had a great change. In this paper, an online monitoring and remote diagnosis system for CNC machine tools was built. The system was consisted of the multi-channel online acquisition system and remote fault diagnosis system. The online acquisition system achieved a real-time monitoring for CNC machine tools. The remote fault diagnosis system provided the management of devices and assistant for experts to analyze data which was uploaded from acquisition system. The system offered real-time state information of CNC machine tools and reduced downtime of machine effectively.
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Fujimura, Tatsuhiro, Takayuki Okamura, Kazuki Furuya, Yosuke Miyazaki, Hitoshi Takenaka, Hiroki Tateishi, Tetsuro Oda, et al. "Comparison of diagnostic performance in assessing the rewiring position into a jailed side branch between online 3D reconstruction systems version 1.1 and 1.2 derived from optical frequency domain imaging." Cardiovascular Intervention and Therapeutics 35, no. 4 (November 9, 2019): 336–42. http://dx.doi.org/10.1007/s12928-019-00629-2.

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Abstract The three-dimensional reconstruction of optical coherence tomography and optical frequency domain imaging (3D-OCT/OFDI) helps optimize bifurcation percutaneous coronary interventions (PCIs) with side branch (SB) dilatation by identifying the optimal rewiring position. 3D-OCT/OFDI’s diagnostic performance for assessing the rewiring position into a jailed SB is unknown. We retrospectively evaluated the diagnostic performances of a conventional (ver. 1.1) and a new (ver. 1.2) online 3D-OFDI reconstruction system based on an offline 3D reconstruction system’s performance. We analyzed 45 patients’ 52 OFDI pullbacks with main vessel stenting followed by rewiring into a jailed SB for coronary bifurcation lesions. We counted the undetected stent struts in the polygon of confluence as the stent detection performance. We assessed the diagnostic agreement regarding the rewiring position into a jailed SB by the three 3D reconstruction systems. The percentage of undetected struts and the diagnostic agreement of ver.1.2 were significantly better than those of ver.1.1 [5.1 ± 5.1% vs. 30.2 ± 14.2%; p < 0.0001, and 94.2% (49/52) vs. 76.9% (40/52); p = 0.0120]. The new online 3D-OFDI reconstruction system provides better diagnostic performance than the conventional online system for assessing the rewiring position into a jailed SB.
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Kern, Bastian, and Patrick Jöckel. "A diagnostic interface for the ICOsahedral Non-hydrostatic (ICON) modelling framework based on the Modular Earth Submodel System (MESSy v2.50)." Geoscientific Model Development 9, no. 10 (October 13, 2016): 3639–54. http://dx.doi.org/10.5194/gmd-9-3639-2016.

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Abstract. Numerical climate and weather models have advanced to finer scales, accompanied by large amounts of output data. The model systems hit the input and output (I/O) bottleneck of modern high-performance computing (HPC) systems. We aim to apply diagnostic methods online during the model simulation instead of applying them as a post-processing step to written output data, to reduce the amount of I/O. To include diagnostic tools into the model system, we implemented a standardised, easy-to-use interface based on the Modular Earth Submodel System (MESSy) into the ICOsahedral Non-hydrostatic (ICON) modelling framework. The integration of the diagnostic interface into the model system is briefly described. Furthermore, we present a prototype implementation of an advanced online diagnostic tool for the aggregation of model data onto a user-defined regular coarse grid. This diagnostic tool will be used to reduce the amount of model output in future simulations. Performance tests of the interface and of two different diagnostic tools show, that the interface itself introduces no overhead in form of additional runtime to the model system. The diagnostic tools, however, have significant impact on the model system's runtime. This overhead strongly depends on the characteristics and implementation of the diagnostic tool. A diagnostic tool with high inter-process communication introduces large overhead, whereas the additional runtime of a diagnostic tool without inter-process communication is low. We briefly describe our efforts to reduce the additional runtime from the diagnostic tools, and present a brief analysis of memory consumption. Future work will focus on optimisation of the memory footprint and the I/O operations of the diagnostic interface.
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Zorin, V. A., P. V. Stepanov, M. M. Styskin, P. G. Tregubov, and N. I. Baurova. "System of proactive online servicing of ground-based transport-production machines." Repair, Reconditioning, Modernization, no. 5 (May 2021): 25–27. http://dx.doi.org/10.31044/1684-2561-2021-0-5-25-27.

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Problems of the formation of a system of the proactive online servicing of ground-based transport-production machines, using diagnostic information are discussed. The system is intended for providing reliability and safe operation of ground-based transport-production machines. For the solution of the problem it is necessary the timely detection and prevention of failures, that requires the separation of a special class of intermediate states named «preabnormal». To receive information and statistical data, it is necessary to have systems of online diagnosis, monitoring of technical status, operation modes and location of machines on an object.
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Tarcsay, Bálint Levente, Ágnes Bárkányi, Tibor Chován, and Sándor Németh. "Development of Compartment Models for Diagnostic Purposes." Hungarian Journal of Industry and Chemistry 49, no. 1 (September 21, 2021): 47–58. http://dx.doi.org/10.33927/hjic-2021-07.

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The importance of recognizing the presence of process faults and resolving these faults is continuously increasing parallel to the development of industrial processes. Fault detection methods which are both robust and sensitive help to recognize the presence of faults in time to avoid malfunctions, financial loss, environmental damage or loss of human life. In the literature, the use of various model-based fault detection methods has gained a considerable degree of popularity. Methods usually based on black-box models, data-based techniques or models using symbolic logic, e.g.\ expert systems, have become widespread. White-box models, on the other hand, have been applied less despite their considerable robustness because of multiple reasons. Firstly, their complexity and the relatively vast amount of technological and modelling knowledge needed to construct them for industrial systems. Secondly, their large computational demand which makes them less suitable for online fault detection. In this study, the aim was to resolve these problems by developing a method to simplify the complex Computational Fluid Dynamics models employed to describe the equipment used in the chemical industry into less complex model structures. These simpler structures are Compartment Models, a type of white-box model which breaks down a complex system into smaller units with idealized behaviour. In the case of a small number of compartments, the computational load of such models is not significant, therefore, they can be employed for the purposes of online fault detection while providing an accurate representation of the system. For the purpose of identifying the compartmental structure, fuzzy logic was employed to create a model which approximates the real behaviour of the system as accurately as possible. Our future objective is to explore the possibility of combining this model with various diagnostic methods (expert systems, Bayesian networks, parity relations, etc.) and derive robust tools for the purpose of fault detection.
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Hu, Jie, Hao Li, Xian Jun Hou, and Xiong Zhen Qin. "Research and Development of Vehicle Fault Diagnostic System Based on MDI." Applied Mechanics and Materials 556-562 (May 2014): 3060–64. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3060.

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For the deficiencies of traditional PC-style vehicle fault diagnostic system, this paper proposes a kind of standardized PC-style vehicle fault diagnostic system which based on the standardized diagnostic interface device, selects MDI which conformed to SAE J2534 standard, studies the communication mechanism of MDI and SAE J2534 standard, optimizes the data read rate, develops the diagnostic system software using the design ideas of hierarchical architecture and function modularization. Through vehicle testing and analysis, this system allows the fault diagnosis, maintenance help, real-time monitoring and online refresh for vehicle electronic control system, has a good versatility and scalability, has a reference for developing standardized diagnostic device and provides the favorable tools for vehicle diagnosis and maintenance.
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Ceney, Adam, Stephanie Tolond, Andrzej Glowinski, Ben Marks, Simon Swift, and Tom Palser. "Accuracy of online symptom checkers and the potential impact on service utilisation." PLOS ONE 16, no. 7 (July 15, 2021): e0254088. http://dx.doi.org/10.1371/journal.pone.0254088.

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Objectives The aims of our study are firstly to investigate the diagnostic and triage performance of symptom checkers, secondly to assess their potential impact on healthcare utilisation and thirdly to investigate for variation in performance between systems. Setting Publicly available symptom checkers for patient use. Participants Publicly available symptom-checkers were identified. A standardised set of 50 clinical vignettes were developed and systematically run through each system by a non-clinical researcher. Primary and secondary outcome measures System accuracy was assessed by measuring the percentage of times the correct diagnosis was a) listed first, b) within the top five diagnoses listed and c) listed at all. The safety of the disposition advice was assessed by comparing it with national guidelines for each vignette. Results Twelve tools were identified and included. Mean diagnostic accuracy of the systems was poor, with the correct diagnosis being present in the top five diagnoses on 51.0% (Range 22.2 to 84.0%). Safety of disposition advice decreased with condition urgency (being 71.8% for emergency cases vs 87.3% for non-urgent cases). 51.0% of systems suggested additional resource utilisation above that recommended by national guidelines (range 18.0% to 61.2%). Both diagnostic accuracy and appropriate resource recommendation varied substantially between systems. Conclusions There is wide variation in performance between available symptom checkers and overall performance is significantly below what would be accepted in any other medical field, though some do achieve a good level of accuracy and safety of disposition. External validation and regulation are urgently required to ensure these public facing tools are safe.
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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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Yao, Chenguo, Zhongyong Zhao, Yu Chen, Xiaozhen Zhao, Zhaojiong Li, Yong Wang, Zehong Zhou, and Gang Wei. "Transformer winding deformation diagnostic system using online high frequency signal injection by capacitive coupling." IEEE Transactions on Dielectrics and Electrical Insulation 21, no. 4 (August 2014): 1486–92. http://dx.doi.org/10.1109/tdei.2014.004283.

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Akbarnozari, A., F. Ben-Ettouil, S. Amiri, O. Bamber, J. D. Grenon, M. Choquet, L. Pouliot, and C. Moreau. "Online Diagnostic System to Monitor Temperature of In-Flight Particles in Suspension Plasma Spray." Journal of Thermal Spray Technology 29, no. 5 (May 17, 2020): 908–20. http://dx.doi.org/10.1007/s11666-020-01045-2.

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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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Abramowitz, G. "Towards a public, standardized, diagnostic benchmarking system for land surface models." Geoscientific Model Development 5, no. 3 (June 5, 2012): 819–27. http://dx.doi.org/10.5194/gmd-5-819-2012.

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Abstract. This work examines different conceptions of land surface model benchmarking and the importance of internationally standardized evaluation experiments that specify data sets, variables, metrics and model resolutions. It additionally demonstrates how essential the definition of a priori expectations of model performance can be, based on the complexity of a model and the amount of information being provided to it, and gives an example of how these expectations might be quantified. Finally, the Protocol for the Analysis of Land Surface models (PALS) is introduced – a free, online land surface model benchmarking application that is structured to meet both of these goals.
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Jung, Dae-Hyun, Hak-Jin Kim, Joon Yong Kim, Soo Hyun Park, and Woo Jae Cho. "Water Nitrate Remote Monitoring System with Self-Diagnostic Function for Ion-Selective Electrodes." Sensors 21, no. 8 (April 12, 2021): 2703. http://dx.doi.org/10.3390/s21082703.

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The detection of nitrate pollutants is a widely used strategy for protecting water sources. Although ion-selective electrodes (ISEs) have been considered for the determination of ion concentrations in water, the accuracy of ISE technology decreases owing to the signal drift and decreasing sensitivity over time. The objectives of the present study were: (1) to develop an online water monitoring system mainly consisting of an Arduino board-based Internet-of-Things (IoT) device and nitrate ISEs; and (2) to propose a self-diagnostic function for monitoring and reporting the condition of the ISEs. The developed system communicates with the cloud server by using the message queuing telemetry transport (MQTT) protocol and provides monitoring information through the developed cloud-based webpage. In addition, the online monitoring system provides information on the electrode status, which is determined based on a self-diagnostic index (SDI, with a range of 0–100) of the electrode drift and sensitivity. The diagnostic method for monitoring and reporting the electrode status was validated in a one-month-long laboratory test followed by a field test in a stream near an agricultural facility. Moreover, a self-diagnostic index (SDI) was applied in the final field experiments with an accuracy of 0.77.
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Seuster, Rolf, Frank Berghaus, Kevin Casteels, Colson Driemel, Marcus Ebert, Colin Leavett-Brown, Michael Paterson, and Randall Sobie. "Quasi-online accounting and monitoring system for distributed clouds." EPJ Web of Conferences 214 (2019): 07035. http://dx.doi.org/10.1051/epjconf/201921407035.

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The HEP group at the University of Victoria operates a distributed cloud computing system for the ATLAS and Belle II experiments. The system uses private and commercial clouds in North America and Europe that run OpenStack, Open Nebula or commercial cloud software. It is critical that we record accounting information to give credit to cloud owners and to verify our use of commercial resources. We want to record the number of CPU-hours of the virtual machine. We continuously collect the CPU usage and an estimate of the HEPSpec06 units of the VM obtained during the boot of the VM and uploads it into an Elastic Search database. The information is processed and published as soon as it is available. The data is published in tables and plots in Kibana and as a cross check in ROOT. We have found the system to be useful beyond gathering accounting information and can be used for monitoring and diagnostic purposes. For example, we can use it to detect if the payload jobs are stuck in a waiting state for external information. We will report on the design and performance of the system, and show how it provides important accounting and monitoring information on a large distributed system.
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Locorotondo, Edoardo, Fabio Corti, Luca Pugi, Lorenzo Berzi, Alberto Reatti, and Giovanni Lutzemberger. "Design of a Wireless Charging System for Online Battery Spectroscopy." Energies 14, no. 1 (January 4, 2021): 218. http://dx.doi.org/10.3390/en14010218.

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This paper presents the design procedure of an electric circuit that can perform the battery state diagnosis and, simultaneously, provide its charging. A fast and embedded impedance measurement method is also proposed; this is based on a broadband current signal excitation on the battery during the constant current charging phase. The proposed solution performs the electrochemical impedance spectroscopy (EIS), which is known to provide useful information about battery chemical–physical property changes due to aging or failure events. To demonstrate the functionalities of the proposed method, the spectroscopy is implemented in the control in the wireless charging system. An EIS charging test is simulated on an equivalent circuit model, which emulates the battery impedance properties in a specified frequency band. Circuit parameters are evaluated by experimental data. According to the obtained results, the proposed method allows us to reach an accurate estimation of the battery state and represents a promising solution for an embedded diagnostic of battery health thanks to its simplicity and speed.
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Abramowitz, G. "Towards a public, standardized, diagnostic benchmarking system for land surface models." Geoscientific Model Development Discussions 5, no. 1 (February 20, 2012): 549–70. http://dx.doi.org/10.5194/gmdd-5-549-2012.

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Abstract. We examine different conceptions of land surface model benchmarking and illustrate the importance of internationally standardized evaluation experiments that specify data sets, variables, metrics and model resolutions. We additionally show how essential the definition of a priori expectations of model performance can be, based on the complexity of a model and the amount of information being provided to it, and give an example of how these expectations might be quantified. Finally, we introduce the Protocol for the Analysis of Land Surface models (PALS), a free, online land surface model benchmarking application, and show how it is structured to meet both of these goals.
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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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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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Toki, Eugenia I., Jenny Pange, and Tassos A. Mikropoulos. "An Online Expert System for Diagnostic Assessment Procedures on Young Children's Oral Speech and Language." Procedia Computer Science 14 (2012): 428–37. http://dx.doi.org/10.1016/j.procs.2012.10.049.

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Zheng, Xiang-wei, Hong-wei Ma, and Yan Li. "An Instructional and Collaborative Learning System with Content Recommendation." International Journal of Distance Education Technologies 11, no. 3 (July 2013): 109–21. http://dx.doi.org/10.4018/jdet.2013070108.

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With the rapid development of Internet, e-learning has become a new teaching and learning mode. However, lots of e-learning systems deployed on Internet are just electronic learning materials with very limited interactivity and diagnostic capability. This paper presents an integrated e-learning environment named iCLSR. Firstly, iCLSR provides an online environment for instruction and collaborative learning, which gets rid of the constraints of time and space. Second, online teaching and learning evaluation data from instructors and learners can be collected by iCLSR and can be analyzed with an improved PSK-means clustering algorithm. Third, the learning object lists can be recommended for learners based on online evaluation results and their learning history. The application of iCLSR demonstrates that it can recommend appropriate learning materials for learners, inspire communication between learners and instructors, save time for users and therefore improve the instructional effects and learning performance.
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Doernberg, Ellen, and Eric Hollander. "Neurodevelopmental Disorders (ASD and ADHD): DSM-5, ICD-10, and ICD-11." CNS Spectrums 21, no. 4 (July 1, 2016): 295–99. http://dx.doi.org/10.1017/s1092852916000262.

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Neurodevelopmental disorders, specifically autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) have undergone considerable diagnostic evolution in the past decade. In the United States, the current system in place is the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), whereas worldwide, the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) serves as a general medical system. This review will examine the differences in neurodevelopmental disorders between these two systems. First, we will review the important revisions made from the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) to the DSM-5, with respect to ASD and ADHD. Next, we will cover the similarities and differences between ASD and ADHD classification in the DSM-5 and the ICD-10, and how these differences may have an effect on neurodevelopmental disorder diagnostics and classification. By examining the changes made for the DSM-5 in 2013, and critiquing the current ICD-10 system, we can help to anticipate and advise on the upcoming ICD-11, due to come online in 2017. Overall, this review serves to highlight the importance of progress towards complementary diagnostic classification systems, keeping in mind the difference in tradition and purpose of the DSM and the ICD, and that these systems are dynamic and changing as more is learned about neurodevelopmental disorders and their underlying etiology. Finally this review will discuss alternative diagnostic approaches, such as the Research Domain Criteria (RDoC) initiative, which links symptom domains to underlying biological and neurological mechanisms. The incorporation of new diagnostic directions could have a great effect on treatment development and insurance coverage for neurodevelopmental disorders worldwide.
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Huang, Xiaoge, Yiyi Zhang, Jiefeng Liu, Hanbo Zheng, and Ke Wang. "A Novel Fault Diagnosis System on Polymer Insulation of Power Transformers Based on 3-stage GA–SA–SVM OFC Selection and ABC–SVM Classifier." Polymers 10, no. 10 (October 3, 2018): 1096. http://dx.doi.org/10.3390/polym10101096.

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Dissolved gas analysis (DGA) has been widely used in various scenarios of power transformers’ online monitoring and diagnoses. However, the diagnostic accuracy of traditional DGA methods still leaves much room for improvement. In this context, numerous new DGA diagnostic models that combine artificial intelligence with traditional methods have emerged. In this paper, a new DGA artificial intelligent diagnostic system is proposed. There are two modules that make up the diagnosis system. The two modules are the optimal feature combination (OFC) selection module based on 3-stage GA–SA–SVM and the ABC–SVM fault diagnosis module. The diagnosis system has been completely realized and embodied in its outstanding performances in diagnostic accuracy, reliability, and efficiency. Comparing the result with other artificial intelligence diagnostic methods, the new diagnostic system proposed in this paper performed superiorly.
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Narayanan, Radhika, and Priya Mathew. "Teaching International English Language Testing System (IELTS) Academic Writing and Exam Strategies Online to Develop Omani Students’ Writing Proficiency." Arab World English Journal, no. 2 (January 15, 2021): 49–63. http://dx.doi.org/10.24093/awej/mec2.4.

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The restrictions imposed by the COVID 19 pandemic have forced educators and students worldwide to adapt to online learning. Language teaching in L2 contexts also had to shift to the online mode without compromising the quality of teaching and learning. This paper examines the perceptions as well as the performance of the participants involved in the online International English Language Testing System (IELTS) course offered by Middle East College, Muscat, Oman via MS Teams, an online teaching platform. Most IELTS courses offered online focus on the improvement of exam techniques; however, the developers of this course designed a syllabus based on a needs analysis to cater to the specific needs of the candidates, which would not only improve their test-taking strategies but also develop their writing skills. Adopting the Test, Teach, Re-test method, a diagnostic test was conducted initially, followed by teaching interventions and post-tests. Interviews with teachers, feedback from students, a comparison of diagnostic test scores with exit level scores, and the use of corpus linguistic methods to examine lexicogrammatical features were carried out to determine the effectiveness of the online course. The results indicated that those students who were not motivated performed poorly, whereas the high achievers were those who engaged in self-study and were, to some extent, autonomous learners. This paper contributes to our understanding of the effectiveness of short-term online language classes for Omani learners as well as provides some recommendations for improving the design and delivery of such courses.
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Al-Gayem, Qais, Hussain F. Jaafar, and Saad S. Hreshee. "Self-diagnostic approach for cell counting biosensor." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 2 (May 1, 2021): 688. http://dx.doi.org/10.11591/ijeecs.v22.i2.pp688-698.

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<span id="docs-internal-guid-66699b2e-7fff-5c7e-3931-5de920908f42"><span>In this research, a test monitoring strategy for an array of biosensors is proposed. The principle idea of this diagnostic technique is to measure and compare the impedance of each sensor in the array to achieve fully controlled online health monitoring technique at the system level. The work includes implementation of the diagnostic system, system architecture for analogue part, and SNR analysis. The technique has been applied on a cell coulter counting biochip where the design and fabrication of this sensing chip with electrodes make the coulter counter be an effective mean to count and analyses the cells in a blood sample. The experimental results show that the indication factor of the sensing electrodes has increased from 1 to 1.8 gradually depending on the fault level.</span></span>
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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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Henderson, Emily J., and Greg P. Rubin. "The utility of an online diagnostic decision support system (Isabel) in general practice: a process evaluation." JRSM Short Reports 4, no. 5 (May 2013): 1–11. http://dx.doi.org/10.1177/2042533313476691.

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Lesieutre, B. C., W. H. Hagman, and J. L. Kirtley. "An Improved Transformer Top-Oil Temperature Model for use in an Online Monitoring and Diagnostic System." IEEE Power Engineering Review 17, no. 1 (January 1997): 50. http://dx.doi.org/10.1109/mper.1997.560690.

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Ng, Curtise K. C., and Zhonghua Sun. "Development of an online automatic diagnostic reference levels management system for digital radiography: A pilot experience." Computer Methods and Programs in Biomedicine 103, no. 3 (September 2011): 145–50. http://dx.doi.org/10.1016/j.cmpb.2010.07.008.

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Su, Dai Zhong, and Wen Jie Peng. "Remote Machine Condition Monitoring Using Wireless Web Technology." Key Engineering Materials 419-420 (October 2009): 745–48. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.745.

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A remote real-time machine condition monitoring system is reported in this paper, which is applied for diagnosis and prognosis of gearboxes’ working condition. Within the system, the diagnostic classification is performed by pattern recognition using statistic parameters, and remote diagnostic capability is enhanced by applying Wireless Web technology. An online signal-processing scheme is adopted based on time-frequency analysis, digital filtering and statistic parameter algorithm to detect early fault signals of gears and to provide expert advice for decision making for maintenance. The effectiveness of the developed remote diagnostic system is verified via experimental investigation of monitoring a gearbox on a test rig under different conditions.
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Chen, Clara Xiaoling, Jeremy B. Lill, and Thomas W. Vance. "Management Control System Design and Employees' Autonomous Motivation." Journal of Management Accounting Research 32, no. 3 (December 11, 2019): 71–91. http://dx.doi.org/10.2308/jmar-17-068.

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ABSTRACT Using an online survey of 468 U.S. employees from diverse industries and professions, we provide empirical evidence that management control system design choices can affect autonomous motivation in employees. Drawing on self-determination theory and the levers of control framework, we predict and find that employee autonomous motivation is positively associated with the use of beliefs control systems and interactive control systems and negatively associated with the use of diagnostic control systems. Moreover, we find that the joint use of diagnostic and interactive controls is positively associated with autonomous motivation. We also find a positive association between employees' autonomous motivation and individual self-reported effort, job performance, and creativity. Additional analyses examine the sources of motivation behind these results, focusing on identified motivation. The theory and results of our study provide a potential explanation for the recent trend in practice of organizations increasingly emphasizing their values and higher purposes. Data Availability: Data are available upon request.
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Šaraba, Predrag, Zoran Ljuboje, Božidar Popović, and Dražan Krsmanović. "Preventive Thermographic Diagnostic of a HV Busbar Disconnector." Electronics ETF 20, no. 1 (July 15, 2016): 3. http://dx.doi.org/10.7251/els1620003s.

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For the purpose of increasing quality, continuity and, at the same time, of increasing reliability and decreasing the losses in an electric power system (EPS), there is an emerging need for preventive diagnostic testing. From the standpoint of an electric power system availability, it is desirable to perform as many tests as possible without a violation of operating conditions of the system itself. The paper presents the thermographic testing of a HV disconnector, as an online testing with the aim of preventive maintenance and condition diagnosis of particular elements, as well as the suggestions for taking adequate measures with the aim of removing potential malfunctions. For the testing results to be quality and to give a reliable information, the load of a facility must be bigger that 50% of the nominal power. On the basis of obtained thermograms, the analysis of the disconnector and its contacts is performed, as well as of the contacts towards other elements in the facility.
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Gottliebsen, Kristian, and Göran Petersson. "Limited evidence of benefits of patient operated intelligent primary care triage tools: findings of a literature review." BMJ Health & Care Informatics 27, no. 1 (May 2020): e100114. http://dx.doi.org/10.1136/bmjhci-2019-100114.

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IntroductionThere is consistent evidence that the workload in general practices is substantially increasing. The digitalisation of healthcare including the use of artificial intelligence has been suggested as a solution to this problem. We wanted to explore the features of intelligent online triage tools in primary care by conducting a literature review.MethodA systematic literature search strategy was formulated and conducted in the PubMed database and the Cochrane Library. Articles were selected according to inclusion/exclusion criteria. Results and data were systematically extracted and thematically analysed. 17 articles of that reported large multimethod studies or smaller diagnostic accuracy tests on clinical vignettes were included. Reviews and expert opinions were also considered.ResultsThere was limited evidence on the actual effects and performance of triage tools in primary care. Several aspects can guide further development: concepts of system design, system implementation and diagnostic performance. The most important findings were: a need to formulate evaluation guidelines and regulations; their assumed potential has not yet been met; a risk of increased or redistribution of workloads and the available symptom checker systems seem overly risk averse and should be tested in real-life settings.ConclusionThis review identified several features associated with the design and implementation of intelligent online triage tools in a primary care context, although most of the investigated systems seemed underdeveloped and offered limited benefits. Current online triage systems should not be used by individuals who have reasonable access to traditional healthcare. Systems used should be strictly evaluated and regulated like other medical products.
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Sun, Jun, Feng Zhang, and Zhuang Chen. "The Designment of Digital Greenhouse Expert System." Applied Mechanics and Materials 190-191 (July 2012): 199–204. http://dx.doi.org/10.4028/www.scientific.net/amm.190-191.199.

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In order to improve the management of crops in digital greenhouse, and give crops a healthy growth, the digital greenhouse expert system is developed based on the growth knowledge of agricultural greenhouse, computer technology and artificial intelligence technology. The expert system can provide basic information about crop growth, cultivation and management techniques, pest control and other diagnostic functions, as well as expert online answering question and so on. The development of the system is advantageous to standardize digital management of greenhouse crop cultivation, reduce the burden of planting staff, and it also can improve crop quality.
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He, Xiaofeng, Xiaofeng Liu, Xiulian Lu, Lipeng He, Yunxiang Ma, Jiasheng Zhang, and Tao Yang. "Software design of rotating machinery fault diagnosis system based on deep learning." E3S Web of Conferences 260 (2021): 03006. http://dx.doi.org/10.1051/e3sconf/202126003006.

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With the development of Industry 4.0, in order to meet the needs of intelligent fault diagnosis of rotating machinery in the industrial field, this paper developed a fault diagnosis system for rotating machinery based on deep learning and wavelet transform methods. The system is based on the Python language and mainly combines the PyQt graphical interface framework and the TensorFlow machine learning framework to complete the training requirements for historical or online fault data, and perform online monitoring and diagnosis of equipment operating conditions. The diagnostic accuracy of the system test results is more than 95%, the software interface is friendly, the algorithm generalization ability is good, and the reliability is strong. It provides guidance for the diagnosis of rotating machinery.
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EROKHIN, MIKHAIL N., ALEKSEI S. DOROKHOV, and YURIY V. KATAEV. "INTELLIGENT SYSTEM FOR DIAGNOSING THE PARAMETERS OF THE TECHNICAL CONDITION OF TRACTORS." Agricultural engineering, no. 2 (2021): 45–50. http://dx.doi.org/10.26897/2687-1149-2021-2-45-50.

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Research aimed at the development and implementation of new digital methods and intelligent systems that allow improving the diagnostic process, increasing the reliability of determining the functional characteristics of agricultural tractors in an online mode is an important and relevant component of technologies and tools for servicing agricultural machinery. The paper presents the results on the justifi cation and development of an intelligent system for diagnosing machines based on the interaction of a neural network. The advantage of this diagnostic system is the ability to maintain the working condition of agricultural machinery, in case the processes of diagnosis and analysis of the obtained data are automated. The use of an intelligent tractor diagnostic system provides for the determination of not only the cause of failure by the controlled parameters, but also the effi ciency evaluation of the machine as a whole. It is established that one of the ways to increase the effi ciency of using agricultural machinery is the non-contact determination of the parameters of the technical condition of equipment through the modernization of the technology for monitoring the technical condition of machines and the quality of work on the basis of the introduction of modern intelligent and telemetric systems.
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Gałęzia, Adam, Szymon Gontarz, Marcin Jasiński, Jędrzej Mączak, Stanisław Radkowski, and Jarosław Seńko. "Distributed System for Monitoring of the Large Scale Infrastructure Structures Based on Analysis of Changes of its Static and Dynamic Properties." Key Engineering Materials 518 (July 2012): 106–18. http://dx.doi.org/10.4028/www.scientific.net/kem.518.106.

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The complexity and diversity of civil engineering structures impose requirements on the monitoring systems, which are difficult to be satisfied. In the paper the concept of the distributed diagnostic system capable of monitoring the technical state of critical elements of large infrastructure objects like steel trusses, supermarket buildings, exposition halls, bridges etc. is discussed. Adaptation of such systems is essential for online assessment of technical state of the infrastructure objects and could limit the possibility of catastrophic disasters with loss of people. As a source of information data from strain gauges, passive magnetic field sensors and acceleration sensors applied to the construction are considered. For the process of selection of sensors and diagnostic methods the mathematical model of the construction and the physical test stand were used.
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Radhakrishnan, Nila S., Hardeep Singh, and Frederick S. Southwick. "Teaching novice clinicians how to reduce diagnostic waste and errors by applying the Toyota Production System." Diagnosis 6, no. 2 (June 26, 2019): 179–85. http://dx.doi.org/10.1515/dx-2018-0081.

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Abstract Background Diagnostic waste, defined as the ordering of low value tests, increases cost, causes delays, increases complexity, and reduces reliability. The Toyota Production System (TPS) is a powerful approach for process improvement that has not been applied to the diagnostic process. We describe a curriculum based on tools and principles of TPS that provides medical students with an approach for reducing diagnostic waste and improving patient management. Methods A 2-day elective course “Fixing Healthcare Delivery” was offered to medical students at the University of Florida, Gainesville. A section within the course had three learning objectives related to TPS: (1) define value in health care; (2) describe how diagnostic waste leads to time delays and diagnostic errors; and (3) apply sequential and iterative value streams for patient management. Instruction methods included videos, readings, and online quizzes followed by a 2-h seminar with facilitated discussion and active problem solving. Results During the 3 years the course was offered students (n = 25) achieved average scores of 95% on a pre-seminar test of manufacturing principles applied to the diagnostic and management process. Course evaluations averaged 4.94 out of 5 (n = 31). Conclusions Students appreciated the application of the TPS principles to the diagnostic process and expressed the desire to apply these manufacturing principles in their future diagnostic and management decision-making.
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SUPRAPTO, Nadi, and Azmil ABIDAH. "USING ONLINE THREE-TIER DIAGNOSTIC TEST TO ASSESS CONCEPTIONS OF IONIZATION ENERGY." Periódico Tchê Química 17, no. 36 (December 20, 2020): 196–212. http://dx.doi.org/10.52571/ptq.v17.n36.2020.212_periodico36_pgs_196_212.pdf.

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The term describing the students’ notions of scientific concepts dissimilar from scientifically acceptable by the scientist is still debated. This study explores of how scientific concepts performed by high school students (HSSs), pre-service teachers (PSTs), and in-service teachers (ISTs) simultaneously to make clear between their conception vs. scientists’ conception, especially in the ionization energy concept. Therefore, it is crucial to raise the position of scientific conception and misconception. For diagnosing the misconceptions, some methods can be used: concept maps, interviews, multiple-choice tests (one-tier), multiple-tier tests (two-tier, three-tier, fourtiers), open-ended tests, and others. This study utilized multiple-tier tests with three-tier. Totally, 326 participants from Indonesia, including 118 HSSs, 165 PSTs, and 43 ISTs majoring in chemistry, were invited to complete an online -Ionization Energy Diagnostic-Modification (IEDI*M) test. The test consisted of 12 three-tier diagnostic items. The study indicated four substantial alternative conceptions were acknowledged: conservation of energy, half-filled sub-shells or stable fully-filled, octet rule framework, and relation-based reasoning. ISTs performed better than HSSs and PSTs on the understanding of ionization energy. The study has also specified the distribution of ionization energy conceptions of Group 1 and 2, and Period 2 and 3 on the periodic system. By utilizing the IEDI*M, the percentages of alternative concepts decreased from one-tier to two-tier and from two-tier to three-tier. This study gives some implications for the government, policy-makers, chemistry teachers, preservice teachers, and university faculty members.
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Costa, Cecília Passos Vaz da, and Maria Helena Barros Araújo Luz. "Digital learning object for diagnostic reasoning in nursing applied to the integumentary system." Revista Gaúcha de Enfermagem 36, no. 4 (December 2015): 55–62. http://dx.doi.org/10.1590/1983-1447.2015.04.54128.

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Objective: To describe the creation of a digital learning object for diagnostic reasoning in nursing applied to the integumentary system at a public university of Piaui. Method: A methodological study applied to technological production based on the pedagogical framework of problem-based learning. The methodology for creating the learning object observed the stages of analysis, design, development, implementation and evaluation recommended for contextualized instructional design. The revised taxonomy of Bloom was used to list the educational goals. Results: The four modules of the developed learning object were inserted into the educational platform Moodle. The theoretical assumptions allowed the design of an important online resource that promotes effective learning in the scope of nursing education. Conclusion: This study should add value to nursing teaching practices through the use of digital learning objects for teaching diagnostic reasoning applied to skin and skin appendages.
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Kohl, Johannes, Hans Fleischmann, and Jörg Franke. "Intelligent Energy Profiling for Decentralized Fault Diagnosis of Automated Production Systems." Applied Mechanics and Materials 805 (November 2015): 73–78. http://dx.doi.org/10.4028/www.scientific.net/amm.805.73.

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The proliferation of energy management systems leads to new potentials of data acquisition that can deliver improved machine information through intelligent linking. In addition to energy controlling, the newly gotten database creates further use cases for advanced purposes. This paper presents an exemplary application of a diagnostic scenario for industrial robots. For this objective, data fusion of energy data and operating logs is necessary to obtain detailed knowledge of the behavior of a production system. Hereby, an online measurement system will be described, which helps to uncover inefficiencies in production systems.
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Li, Zhengfei, Jianming Tan, Shaobin Li, Jiangyan Liu, Huanxin Chen, Jiaqin Shen, Ronggeng Huang, and Jiahui Liu. "An efficient online wkNN diagnostic strategy for variable refrigerant flow system based on coupled feature selection method." Energy and Buildings 183 (January 2019): 222–37. http://dx.doi.org/10.1016/j.enbuild.2018.11.020.

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Hutchinson, Claire, Michelle Brereton, Julie Adams, Barbara De La Salle, Jon Sims, Keith Hyde, Richard Chasty, Rachel Brown, Karen Rees-Unwin, and John Burthem. "The Use and Effectiveness of an Online Diagnostic Support System for Blood Film Interpretation: Comparative Observational Study." Journal of Medical Internet Research 23, no. 8 (August 9, 2021): e20815. http://dx.doi.org/10.2196/20815.

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Background The recognition and interpretation of abnormal blood cell morphology is often the first step in diagnosing underlying serious systemic illness or leukemia. Supporting the staff who interpret blood film morphology is therefore essential for a safe laboratory service. This paper describes an open-access, web-based decision support tool, developed by the authors to support morphological diagnosis, arising from earlier studies identifying mechanisms of error in blood film reporting. The effectiveness of this intervention was assessed using the unique resource offered by the online digital morphology Continuing Professional Development scheme (DM scheme) offered by the UK National External Quality Assessment Service for Haematology, with more than 3000 registered users. This allowed the effectiveness of decision support to be tested within a defined user group, each of whom viewed and interpreted the morphology of identical digital blood films. Objective The primary objective of the study was to test the effectiveness of the decision support system in supporting users to identify and interpret abnormal morphological features. The secondary objective was to determine the pattern and frequency of use of the system for different case types, and to determine how users perceived the support in terms of their confidence in decision-making. Methods This was a comparative study of identical blood films evaluated either with or without decision support. Selected earlier cases from the DM scheme were rereleased as new cases but with decision support made available; this allowed a comparison of data sets for identical cases with or without decision support. To address the primary objectives, the study used quantitative evaluation and statistical comparisons of the identification and interpretation of morphological features between the two different case releases. To address the secondary objective, the use of decision support was assessed using web analytical tools, while a questionnaire was used to assess user perceptions of the system. Results Cases evaluated with the aid of decision support had significantly improved accuracy of identification for relevant morphological features (mean improvement 9.8%) and the interpretation of those features (mean improvement 11%). The improvement was particularly significant for cases with higher complexity or for rarer diagnoses. Analysis of website usage demonstrated a high frequency of access for web pages relevant to each case (mean 9298 for each case, range 2661-24,276). Users reported that the decision support website increased their confidence for feature identification (4.8/5) and interpretation (4.3/5), both within the context of training (4.6/5) and also in their wider laboratory practice (4.4/5). Conclusions The findings of this study demonstrate that directed online decision support for blood morphology evaluation improves accuracy and confidence in the context of educational evaluation of digital films, with effectiveness potentially extending to wider laboratory use.
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