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Journal articles on the topic 'Electronic monitoring tool'

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Author: Grafiati

Published: 2 July 2022

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1

Baby, R. E., M. Cabezas, and E. N. Walsöe de Reca. "Electronic nose: a useful tool for monitoring environmental contamination." Sensors and Actuators B: Chemical 69, no. 3 (October 2000): 214–18. http://dx.doi.org/10.1016/s0925-4005(00)00491-3.

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2

Klátik, Jaroslav, and Martin Orviský. "Electronic and informatization of the judiciary as a tool for innovation." SHS Web of Conferences 92 (2021): 04013. http://dx.doi.org/10.1051/shsconf/20219204013.

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Research background: The computerization and computerization of the judiciary are important support tools with great potential in addressing key issues in the judiciary. The basic architecture of the modernization and informatization of justice consists of the Electronic Judicial File, Development of Electronic Judicial Services, Electronic monitoring of offenders and the Register of Bankruptcies projects. In terms of scope and financial volume, the most intensive electronicization of Slovak courts in their modern history is currently underway. At present, an electronic person monitoring system is also being successfully implemented in Slovakia, which represents a fundamental modernization of prisons, but also an increase in the safety of citizens against perpetrators of violent crimes, domestic violence or crime at public mass events. Purpose of the article: The main goal of the paper is to analyze the problems in the electronic justice system with a focus on the issue of introducing electronic monitoring of offenders. The authors also analyzes whether a change in legislation that allowed the use of electronic monitoring in more serious crimes contributed to more frequent use of electronic monitoring, or this change did not bring the desired effect of greater use of electronic monitoring. Methods: The authors use the method of analysis, synthesis, system-structural method and normative-legal method of interpretation of legal norms. Findings & Value added: The main benefit of the research is to point out specific problems in connection with the electrification of the judiciary and the introduction of electronic monitoring and to propose solutions to these problems.

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Carlsson, A., C. Krantz-Rülcker, and F. Winquist. "An electronic tongue as a tool for wet-end monitoring." Nordic Pulp & Paper Research Journal 16, no. 4 (December 1, 2001): 319–26. http://dx.doi.org/10.3183/npprj-2001-16-04-p319-326.

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4

DeMichele, Matthew. "Electronic Monitoring: It Is a Tool, Not a Silver Bullet." Criminology & Public Policy 13, no. 3 (August 2014): 393–400. http://dx.doi.org/10.1111/1745-9133.12089.

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5

Babarada, Florin. "Electronic Tool Interferences with Electrophysiology for the Psychiatric Disorders Monitoring." American Journal of Bioscience and Bioengineering 3, no. 3 (2015): 14. http://dx.doi.org/10.11648/j.bio.s.2015030301.13.

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Ikonnikova, Ksenia V., Natalia E. Vaisblat, Igor S. Peremitin, and Raisa N. Abramova. "Electronic Database - Monitoring Tool and Quality Improvement of Supplied Electricity." MATEC Web of Conferences 19 (2014): 01039. http://dx.doi.org/10.1051/matecconf/20141901039.

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7

Pfeifer, T., and P. Plapper. "Transputer-based tool monitoring system." Measurement 9, no. 3 (July 1991): 134–39. http://dx.doi.org/10.1016/0263-2241(91)90034-n.

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8

Beyens, Kristel. "Electronic monitoring and supervision: A comparative perspective." European Journal of Probation 9, no. 1 (April 2017): 3–10. http://dx.doi.org/10.1177/2066220317704130.

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The use of electronic monitoring (EM) has grown rapidly in Europe and elsewhere and is likely to continue to do so. EM is a technological tool that allows to monitor the location of individuals via an electronic ankle tag, to track the movements of individuals either in real time or retrospectively. This special issue of the European Journal of Probation focuses on the relationship of EM with supervision in four jurisdictions (Belgium, Germany, The Netherlands and Scotland) and the question whether EM is mainly used as a stand-alone order or as an integrated measure; that is, alongside other supervisory conditions. It also contains a contribution with an initial round up of Australian experiences with EM.

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9

Du, R. "Signal understanding and tool condition monitoring." Engineering Applications of Artificial Intelligence 12, no. 5 (October 1999): 585–97. http://dx.doi.org/10.1016/s0952-1976(99)00026-3.

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Greenlaw, Paul S., and Cornelia Prundeanu. "The Impact of Federal Legislation to Limit Electronic Monitoring." Public Personnel Management 26, no. 2 (June 1997): 227–44. http://dx.doi.org/10.1177/009102609702600205.

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Organizations are increasingly using technology to electronically monitor employees' telephone calls, computer use and even their physical location. Electronic monitoring's popularity is largely driven by organizational security problems and the need to measure employee performance. However, there is growing concern, particularly among employee groups and some legislators, that guidelines are needed to ensure these technologies are used responsibly and do not infringe on employee rights. Additionally, the effectiveness of unlimited electronic monitoring as a management tool is being questioned. The Privacy for Consumers and Workers Act (PCWA) was drafted in response to these concerns, and has been vigorously debated in both the House and the Senate. This article will address key arguments raised both in support of and in opposition to this legislation. Although the PCWA did not become law, the complex issues raised by unrestricted electronic monitoring of employees are likely to remain on the public policy agenda.

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Tocci, Noah Xavier, Jim Doolin, Daniel Aaron Roberts, Christina Cibotti, Rebekah A. Hartwell, Jennifer Espiritu, Scott M. Devlin, et al. "Patients’ perspectives and outcomes on an oral chemotherapy education and electronic monitoring program." Journal of Clinical Oncology 37, no. 15_suppl (May 20, 2019): e18007-e18007. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e18007.

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e18007 Background: Patients on oral chemotherapy (OC) often lack consistent education and monitoring, risking toxicity and poor adherence. We developed an OC management program including education and an online tool for active outreach. Methods: In November 2017, we initiated pharmacist-led education for patients newly prescribed OC at a community practice and in the gastrointestinal oncology group at an academic medical center (AMC). An online tool assessing adherence, symptoms, and financial toxicity was emailed to patients three days after starting OC. Non-responders were contacted for phone interviews. A random sample of 28 patients newly started on OC at both sites before the intervention in 2017 was analyzed at baseline. A retrospective chart analysis was done to collect time to symptom assessment, identification and action. A report generated date of first emergency department (ED) visit or hospitalization within the AMC. We conducted a Mann Whitney U-Test, using a one-sided p value of 0.025 with Bonferroni correction. Results: Sixty-nine of 106 eligible patients (66%) received education, of whom 36 (52.1%) received the online tool, and 13 (36.1%) responded. There was a significant difference between the intervention and baseline median times to first new/worsening symptoms (p = 0.0105) but otherwise there were no outcome improvements. Eight of 23 patients who did not respond to the electronic tool were interviewed and indicated that their illness impeded their ability to check email (n = 2), and that they never check email (n = 2). Conclusions: This OC management program improved time to detect new/worsening symptoms and could potentially improve outcomes after further patient accrual. Future investigation should examine ways to improve patient responsiveness to electronic patient-reported symptom tools. [Table: see text]

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Ilonen, J., J. K. Kamarainen, T. Lindh, J. Ahola, H. Kalviainen, and J. Partanen. "Diagnosis Tool for Motor Condition Monitoring." IEEE Transactions on Industry Applications 41, no. 4 (July 2005): 963–71. http://dx.doi.org/10.1109/tia.2005.851001.

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Knepper, Bryan, Amber Miller, Sara Reese, Jennifer Kurtz, Sarah Stella, and Heather Young. "Electronic Hand Hygiene Monitoring: A Tool to Drive Improvement and Measure Impact." Open Forum Infectious Diseases 4, suppl_1 (2017): S408—S409. http://dx.doi.org/10.1093/ofid/ofx163.1021.

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Abstract Background Hand hygiene (HH) is a basic principle of infection control, yet national HH adherence rates are only 40%. Challenges to improving HH rates include finding effective ways to promote and sustain change and collecting unbiased observations to measure the success of interventions. Our institution implemented an electronic HH (eHH) monitoring system on select hospital units with the goal of using this technology to both improve and measure HH rates. Methods In Apr 2016, Denver Health installed the HillRom Hand Hygiene Compliance Solution in 4 inpatient units (2 adult wards, 1 intensive care unit, and 1 progressive care unit). Sensors were installed on all HH dispensers and at the thresholds of patient rooms on the units. Registered nurses and certified nursing assistants wear badges that track HH upon entry and exit from the room. Appropriate eHH was defined as the use of waterless hand sanitizer or soap within 60 seconds before or after entering or exiting a room. Baseline data was collected for 2 months; a series of interventions, including public recognition of top performers, private individualized feedback, and posters emphasizing social pressures, were undertaken beginning in June 2016 (Figure 1). Descriptive statistics, chi-squared tests, and interrupted time series analyses were used to analyze the data. Results The median number of total daily observations was 4083 (IQR 3801–4437). The mean eHH adherence rate in the baseline period (Apr/May 2016) was 46% (IQR 44%-49%) and increased to 76% (IQR 75%-78%) in Mar 2017. Over the study period, there was a significant decreasing trend in the proportion of nurses with eHH rates <50% (P < 0.0001, Figure 2) and a significant increasing trend in the proportion of nurses with eHH rates ≥80% on all units (P < 0.0001, Figure 3). Conclusion eHH provides thousands of objective observations per day. eHH rates improved over the study period both due to an increase in nurses with eHH ≥80% and a decrease in the proportion of nurses with eHH <50%. Disclosures All authors: No reported disclosures.

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Jochmann, Anja, Luca Artusio, Angela Jamalzadeh, Prasad Nagakumar, Edgar Delgado-Eckert, Sejal Saglani, Andrew Bush, Urs Frey, and Louise J. Fleming. "Electronic monitoring of adherence to inhaled corticosteroids: an essential tool in identifying severe asthma in children." European Respiratory Journal 50, no. 6 (December 2017): 1700910. http://dx.doi.org/10.1183/13993003.00910-2017.

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International guidelines recommend that severe asthma can only be diagnosed after contributory factors, including adherence, have been addressed. Accurate assessment of adherence is difficult in clinical practice. We hypothesised that electronic monitoring in children would identify nonadherence, thus delineating the small number with true severe asthma.Asthmatic children already prescribed inhaled corticosteroids were prospectively recruited and persistence of adherence assessed using electronic monitoring devices. Spirometry, airway inflammation and asthma control were measured at the start and end of the monitoring period.93 children (62 male; median age 12.4 years) were monitored for a median of 92 days. Median (range) monitored adherence was 74% (21–99%). We identified four groups: 1) good adherence during monitoring with improved control, 24% (likely previous poor adherence); 2) good adherence with poor control, 18% (severe therapy-resistant asthma); 3) poor adherence with good control, 26% (likely overtreated); and 4) poor adherence with poor control, 32%. No clinical parameter prior to monitoring distinguished these groups.Electronic monitoring is a useful tool for identifying children in whom a step up in treatment is indicated. Different approaches are needed in those who are controlled when adherent or who are nonadherent. Electronic monitoring is essential in a paediatric severe asthma clinic.

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Denkena, Berend, Benjamin Bergmann, and Tobias H. Stiehl. "Transfer of Process References between Machine Tools for Online Tool Condition Monitoring." Machines 9, no. 11 (November 10, 2021): 282. http://dx.doi.org/10.3390/machines9110282.

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Process and tool condition monitoring systems are a prerequisite for autonomous production. One approach to monitoring individual parts without complex cutting simulations is the transfer of knowledge among similar monitoring scenarios. This paper introduces a novel monitoring method which transfers monitoring limits for process signals between different machine tools. The method calculates monitoring limits statistically from cutting processes carried out on one or more similar machines. The monitoring algorithm aims to detect general process anomalies online. Experiments comprise face-turning operations at five different lathes, four of which were of the same model. Results include the successful transfer of monitoring limits between machines of the same model for the detection of material anomalies. In comparison to an approach based on dynamic time warping (DTW) and density-based spatial clustering of applications with noise (DBSCAN), the new method showed fewer false alarms and higher detection rates. However, for the transfer between different models of machines, the successful application of the new method is limited. This is predominantly due to limitations of the employed process component isolation and differences between machine models in terms of signal properties as well as execution speed.

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R, Jyothi, Tejas Holla, Uma Rao K, and Jayapal R. "Machine learning based multi class fault diagnosis tool for voltage source inverter driven induction motor." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 2 (June 1, 2021): 1205. http://dx.doi.org/10.11591/ijpeds.v12.i2.pp1205-1215.

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AC drives are employed in process industries for varying applications resulting in a wide range of ratings. The entire process industry has seen a paradigm shift from manual to automated systems. The major factor contributing to this is the advanced power electronics technology enabling power electronic drives for smooth control of electric motors. Induction motors are most commonly used in industries. Faults in the power electronic circuits may occur periodically. These faults often go unnoticed as they rarely cause a complete shutdown and the fault levels may not be large enough to lead to a breakdown of the drive. An early detection of these faults is required to prevent their escalation into major faults. The diagnostic tool for detection of faults requires real time monitoring of the entire drive. In this work, detailed investigation of different faults that can occur in the power electronic circuit of an industrial drive is carried out. Analysis and impact of faults on the performance of the induction motor is presented. A real time monitoring platform is proposed to detect and classify the fault accurately using machine learning. A diagnostic tool also is developed to display the severity and location of the fault to the operator to take corrective measures.

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Sun, Rui, Yong Wang, and Shao Peng Li. "Design and Realization of a CAN Network Development and Analysis Tool." Advanced Materials Research 846-847 (November 2013): 1676–80. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1676.

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With the large-scale promotion and application of CAN bus in automotive electronics, a set software tool supporting the development, analysis and test of CAN bus network is required for the design of CAN network and single automotive electronic unit. Since the CAN bus development and analysis tool adopted by the buyer is quite expensive and it should be bonded to specific CAN card, it is not applicable for parallel development. The team of the author realized a low-cost CAN network development and analysis tool with Java and JNI by taking Eclipse as the development platform. The tool mainly includes two parts, namely the networking protocol design tool and bus monitoring tool. The former realizes the design of signal matrix, provides several views for the network signal, and generates XML signal matrix as the interface of bus monitoring tool; while the latter realizes the control and interface of ordinary CAN card, which will carry out the real-time monitor of bus data and provide several views of the data for further analysis through connecting CAN card to the CAN bus network.

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18

Rutelli, G., and D. Cuppini. "Development of Wear Sensor for Tool Management System." Journal of Engineering Materials and Technology 110, no. 1 (January 1, 1988): 59–62. http://dx.doi.org/10.1115/1.3226011.

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In automatic metalworking systems, in-process tool-life monitoring and quality control of the parts produced play a crucial role. This paper is on the architecture and performance of an opto-electronic sensor designed for automatic tool-wear monitoring in Computer Numerical Controlled (CNC) lathe applications. Tool wear is sensed by detecting the wear land image, which is captured by an analogic camera, digitized and processed using a computer system. The computer system, linked to the lathe control module, implements a real-time procedure supporting an optimal tool replacement strategy.

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Fertig, Alexander, Lukas Grau, Marius Altmannsberger, and Matthias Weigold. "TOOL CONDITION MONITORING AND TOOL DEFECT DETECTION FOR END MILLS BASED ON HIGH-FREQUENCY MACHINE TOOL DATA." MM Science Journal 2021, no. 5 (November 3, 2021): 5160–66. http://dx.doi.org/10.17973/mmsj.2021_11_2021174.

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In the context of increasing digitalization, machine tools have a decisive impact on the manufacturing of technically sophisticated products. The resulting large amount of available data opens up new opportunities for process monitoring and optimization. In this paper, a new in-process tool condition monitoring (TCM) approach for end mills is developed. Besides in-process wear determination, the presented approach also enables the early detection of tool manufacturing defects on end mills. By applying machine learning algorithms, high prediction accuracies can be achieved. The results allow the implementation of an in-process TCM system based on internal machine tool data.

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20

Burnes, Jan. "Use of electronic clinical tracking tool for thiopurine blood monitoring in IBD patients." Inflammatory Bowel Diseases 17 (December 2011): S64. http://dx.doi.org/10.1097/00054725-201112002-00205.

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21

Biswas, Rajoshi, Gaurav Patel, Ali Mohsin, Nicola Hanania, and Ashutosh Sabharwal. "Measuring Competence in Metered Dose Inhaler Use Using Capmedic Electronic Inhaler Monitoring Tool." Chest 150, no. 4 (October 2016): 14A. http://dx.doi.org/10.1016/j.chest.2016.08.017.

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22

Gliszczyńska-Świgło, Anna, and Jarosław Chmielewski. "Electronic Nose as a Tool for Monitoring the Authenticity of Food. A Review." Food Analytical Methods 10, no. 6 (December 6, 2016): 1800–1816. http://dx.doi.org/10.1007/s12161-016-0739-4.

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23

Romanenko, Evgeniy. "AN ELECTRONIC CONTROL – THE TOOL OF DEMOCRATIZATION OF STATE ADMINISTRATION." International Journal of New Economics and Social Sciences 2, no. 2 (December 30, 2015): 0. http://dx.doi.org/10.5604/01.3001.0010.4772.

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In the paper carried out the analysis of e-government as a means of interactive and communicative interaction of public authorities and the public allowed to identify it as a self-organizational tools for effective public-management decisions, to ensure transparency mechanisms for monitoring their implementation. Analyzed the history of creation and international documents that contain recommendations, the requirements for States parties that intend to build or develop at an effective information society. It is shown that the rate of introduction of E-governance in Ukraine is considerably lagging behind the leading countries of the world.

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Rahemtulla, Zahra, Theodore Hughes-Riley, and Tilak Dias. "Vibration-Sensing Electronic Yarns for the Monitoring of Hand Transmitted Vibrations." Sensors 21, no. 8 (April 15, 2021): 2780. http://dx.doi.org/10.3390/s21082780.

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Overexposure to hand transmitted vibrations (HTVs) from prolonged use of vibrating power tools can result in severe injuries. By monitoring the exposure of a worker to HTVs, overexposure, and injury, can be mitigated. An ideal HTV-monitoring system would measure vibration were it enters the body, which for many power tools will be the palm and fingers, however this is difficult to achieve using conventional transducers as they will affect the comfort of the user and subsequently alter the way that the tool is held. By embedding a transducer within the core of a textile yarn, that can be used to produce a glove, vibration can be monitored close to where it enters the body without compromising the comfort of the user. This work presents a vibration-sensing electronic yarn that was created by embedding a commercially available accelerometer within the structure of a yarn. These yarns were subsequently used to produce a vibration-sensing glove. The purpose of this study is to characterize the response of the embedded accelerometer over a range of relevant frequencies and vibration amplitudes at each stage of the electronic yarn’s manufacture to understand how the yarn structure influences the sensors response. The vibration-sensing electronic yarn was subsequently incorporated into a fabric sample and characterized. Finally, four vibration-sensing electronic yarns were used to produce a vibration-sensing glove that is capable of monitoring vibration at the palm and index finger.

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Monostori, L. "Computer-aided generation of monitoring strategy for complex machine tool monitoring systems." Measurement 8, no. 3 (July 1990): 98–102. http://dx.doi.org/10.1016/0263-2241(90)90046-9.

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26

Wang, De Wen, and Ru Kun Liu. "An Improvement of IED Configuration Tool and Modeling for Transformer Condition Monitoring IED." Applied Mechanics and Materials 519-520 (February 2014): 1309–12. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.1309.

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This paper analyzes the object-oriented modeling technology of IEC 61850 standard and the modeling steps of condition monitoring intelligent electronic devices (IED). Aiming at the problem of the existing configuration tools poor scalability for the IEC 61850 standard, a new design method of the IED configuration tool is brought up. Information model of transformer condition monitoring IED is established including logical device (LD), logical node (LN), data object (DO), data attribute (DA), dataset and report control block with the method mentioned above, and described with substation configuration description language.

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Aini, Qurotul, Untung Rahardja, Harries Madiistriyatno, and Azharul Fuad. "Rancang Bangun Alat Monitoring Pergerakan Objek pada Ruangan Menggunakan Modul RCWL 0516." Jurnal Teknik Elektro 10, no. 1 (June 20, 2018): 41–46. http://dx.doi.org/10.15294/jte.v10i1.13731.

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Nowdays, along with the development of electronics and computers, the crime rate increases rapidly. today almost all systems and security tools are using electronic devices such as computers and microcontrollers. Every electronic device always has weakness, such as camera needs the light to capture images, Passive InfraRed (PIR) sensor only has ability for human body temperature detection, Short Message Service (SMS) which its services depend on prepay credit and cellular operator signal range. Based on the problem, a radio-based doppler radar detection tool was developed using RCWL 0516 module. In this research will be discussed the use of RCWL 0516 sensor as main module to detect the movement of the object by measuring the microwave wave value that displayed on the user gadget by using Blynk application. The digital communication is used and implemented on Arduino Uno microcontroller. The data is sent and will be displayed on the gadget through Blynk application in the form of graph in real time and connect to the internet using ESP8266 as a connection receiver. The results obtained that the RCWL 0516 module has a better accuracy level in detecting movement than other motion detection sensors such as PIR sensors and ultrasonic sensors.

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Benetazzo, L., C. Narduzzi, P. A. Pegoraro, and R. Tittoto. "Passive Measurement Tool for Monitoring Mobile Packet Network Performances." IEEE Transactions on Instrumentation and Measurement 55, no. 2 (April 2006): 449–55. http://dx.doi.org/10.1109/tim.2006.870121.

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29

Li, X., R. Du, B. Denkena, and J. Imiela. "Tool Breakage Monitoring Using Motor Current Signals for Machine Tools With Linear Motors." IEEE Transactions on Industrial Electronics 52, no. 5 (October 2005): 1403–8. http://dx.doi.org/10.1109/tie.2005.855656.

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Wuerschinger, H., D. Gross, M. Muehlbauer, M. Stadler, and N. Hanenkamp. "DEMONSTRATION OF A NEW APPROACH FOR MEASURING TOOLS WITH THE IMPINGEMENT SOUND OF AN AIR JET USING MACHINE LEARNING." MM Science Journal 2021, no. 5 (November 3, 2021): 4984–91. http://dx.doi.org/10.17973/mmsj.2021_11_2021139.

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Monitoring the tool condition of machining processes is important but challenging. Several automated tool condition monitoring solutions are available, but often not used due to existing restrictions or disadvantages. A new approach can be the detection and measurement of tool conditions analyzing the sound of an air jet impingement on tools. Due to the availability of compressed air as a working and cleaning medium for many processes, this approach can be used for various condition monitoring and measuring tasks. In this paper the procedure and its functionality are first presented on simple shapes and then tested on the tool wear of inserts.

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Kuntoğlu, Mustafa, Abdullah Aslan, Danil Yurievich Pimenov, Üsame Ali Usca, Emin Salur, Munish Kumar Gupta, Tadeusz Mikolajczyk, Khaled Giasin, Wojciech Kapłonek, and Shubham Sharma. "A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends." Sensors 21, no. 1 (December 26, 2020): 108. http://dx.doi.org/10.3390/s21010108.

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The complex structure of turning aggravates obtaining the desired results in terms of tool wear and surface roughness. The existence of high temperature and pressure make difficult to reach and observe the cutting area. In-direct tool condition, monitoring systems provide tracking the condition of cutting tool via several released or converted energy types, namely, heat, acoustic emission, vibration, cutting forces and motor current. Tool wear inevitably progresses during metal cutting and has a relationship with these energy types. Indirect tool condition monitoring systems use sensors situated around the cutting area to state the wear condition of the cutting tool without intervention to cutting zone. In this study, sensors mostly used in indirect tool condition monitoring systems and their correlations between tool wear are reviewed to summarize the literature survey in this field for the last two decades. The reviews about tool condition monitoring systems in turning are very limited, and relationship between measured variables such as tool wear and vibration require a detailed analysis. In this work, the main aim is to discuss the effect of sensorial data on tool wear by considering previous published papers. As a computer aided electronic and mechanical support system, tool condition monitoring paves the way for machining industry and the future and development of Industry 4.0.

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Sanyal, Amit, James M. Heun, Clemens walter Janssen, and Jessica Sweeney. "Mobile health tool for monitoring cancer treatment complications." Journal of Clinical Oncology 38, no. 29_suppl (October 10, 2020): 297. http://dx.doi.org/10.1200/jco.2020.38.29_suppl.297.

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297 Background: Side effects after cancer treatment are ubiquitous, seen in up to 98.3% of patients in one Phase III lymphoma trial. Additionally, cancer patients are at a greater risk of mortality from infections such as coronavirus disease 2019 (COVID-19), prompting recommendations for routine screening. Current care delivery model, reliant on self- triaging of symptoms by patients results in delayed management and avoidable emergency room visits and hospitalizations. Technology based symptom monitoring allows early identification of complications, reduces symptom burden, cost of care and enables early detection of relapse. We studied utility of a mobile-health tool for toxicity monitoring and COVID-19 screening. Methods: We developed an application that periodically delivers disease specific toxicity questionnaires to patients following cancer treatment. Based on NCI- PRO-CTCAE form builder, the questions are delivered through SMS or e-mail. Responses crossing pre-specified thresholds are flagged for manual care team follow-up. Patient and staff experience as well as medical interventions are captured. Results: Currently, 68 patients with different malignancies are enrolled. Median age 60 years (range 24-85), 35 males, 31 females. 72.35% patients rated user experience at 4 or higher (1-5 scale, 5 highest). Aggregate provider rating was 3.25 (1-5 scale, 5 highest). Of 639 captured responses, 157 reported fatigue, 145 no symptoms, 57 nausea/vomiting or diarrhea, 52 numbness/tingling and 48 shortness of breath. 76 responses were flagged for nurse follow-up calls. These resulted in 72 successful outpatient symptom management, 2 hospitalizations for neutropenic fever, 1 MRI diagnosis of radiation necrosis and 1 diagnosis of lymphoma progression. 92% of patients received a follow up within one business day. Median time between response recorded and follow up completed was 55 minutes. Of 1299 responses recorded by COVID-19 screening, 1175 reported no symptoms. All positive responses (47 cough, 52 diarrhea, 5 fever and 20 dyspnea) were false positives. Study is ongoing with recent implementation of a distress screening and survivorship modules. Conclusions: Electronic capture of symptoms using connected technology is feasible and can be used to screen cancer patients for treatment related complications as well as pandemic related illnesses.

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Li, Huaizhong, Xiaoqi Chen, Hao Zeng, and Xiaoping Li. "Embedded tool condition monitoring for intelligent machining." International Journal of Computer Applications in Technology 28, no. 1 (2007): 74. http://dx.doi.org/10.1504/ijcat.2007.012334.

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Medoued, Ammar, Abdesselem Lebaroud, Ahcene Boukadoum, and Guy Clerc. "On-line Faults Signature Monitoring Tool for Induction Motor Diagnosis." Journal of Electrical Engineering and Technology 5, no. 1 (March 1, 2010): 140–45. http://dx.doi.org/10.5370/jeet.2010.5.1.140.

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Kamal, Arif, and Amy Pickar Abernethy. "Development of an electronic, integrated quality monitoring and needs assessment tool for palliative care." Journal of Clinical Oncology 30, no. 15_suppl (May 20, 2012): e16556-e16556. http://dx.doi.org/10.1200/jco.2012.30.15_suppl.e16556.

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e16556 Background: In order to facilitate uptake of continuous quality improvement in oncology and palliative care, practical data capture and reporting solutions are needed that allow real-time collection of structured data that simultaneously contributes to quality measurement and aids clinical care. We aimed to build and test a point-of-care system for continuous quality monitoring in community palliative care. Methods: Within a four-organization, academic/community quality consortium, we first conducted a focus group to inventory characteristics of an effective system. A systematic review and prioritization of quality measures for supportive oncology and palliative care followed. These results informed development of a set of data elements and electronic platform. A usability study with think-aloud protocols was then conducted with twenty providers using two mock cases across paper, laptop, and tablet computer platforms. Results: Identified priorities for a proposed system were: 1. Use of information technology (IT); 2. Point-of-care use with patient-report and provider-entry; and 3. Immediate, provider-level reporting on quality conformance. In the systematic review, 282 quality measures (152 prioritized for clinical utility and feasibility) for supportive oncology and palliative care were identified; these measures informed the development of a 92 item dataset of validated clinical tools within National Quality Forum quality domains. Data elements were harmonized with the National Cancer Institute’s Cancer Bioinformatics Grid (CaBIG) and other metadata sets. To foster electronic, point-of-care data capture, the Quality Data Collection Tool (QDACT) was then developed. The QDACT informs 82% (125) of high-priority quality measures; a color-code reminder system provides immediate conformance feedback. The usability study demonstrated high satisfaction, less than 15 minutes for completion, and a low error rate. Conclusions: Electronic systems that can integrate point-of-care quality monitoring and clinical assessments are buildable and usable in palliative care. Feasibility testing within the context of routine outpatient and inpatient palliative care practice is ongoing.

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De Filippo, Paolo, Giovanni Malanchini, and Paola Ferrari. "Remote monitoring of cardiovascular implantable electronic devices: a valuable tool for a better care." Kardiologia Polska 78, no. 11 (November 25, 2020): 1086–87. http://dx.doi.org/10.33963/kp.15688.

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Campos, Inmaculada, Miguel Alcañiz, Daniel Aguado, Ramón Barat, José Ferrer, Luis Gil, Mouna Marrakchi, Ramón Martínez-Mañez, Juan Soto, and José-Luis Vivancos. "A voltammetric electronic tongue as tool for water quality monitoring in wastewater treatment plants." Water Research 46, no. 8 (May 2012): 2605–14. http://dx.doi.org/10.1016/j.watres.2012.02.029.

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Zhu, Kunpeng, Guochao Li, and Yu Zhang. "Big Data Oriented Smart Tool Condition Monitoring System." IEEE Transactions on Industrial Informatics 16, no. 6 (June 2020): 4007–16. http://dx.doi.org/10.1109/tii.2019.2957107.

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Gaskin, Pamela S., Peter Chami, Tamara Nancoo, Patricia Warner, Patrick Barrett, and Yvette Mayers. "Electronic based reported anthropometry—A useful tool for interim monitoring of obesity prevalence in developing states." PLOS ONE 15, no. 12 (December 7, 2020): e0243202. http://dx.doi.org/10.1371/journal.pone.0243202.

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Background Wide participation in electronic surveys and reliable reporting of anthropometry can serve to reduce costs associated with monitoring of obesity among adolescents where resources are limited. We conducted a single school pilot study among Caribbean adolescents to assess use of electronic surveys and whether face to face encouragement could promote enrollment. In addition, we assessed students’ ability to reliably report simple anthropometry. Methods Students were provided with access to an electronic survey on anthropometry and food preferences regarding school-based food offerings. Responses to survey questions were presented as percentages. A sample of students also had their heights and weights measured after reporting these measures from memory. Intra-class correlation coefficients were used to assess reliability among measurers and Bland-Altman plots, consistency between student reported and recorded anthropometric measures and Support Vector Machine to assess robustness of anthropometry prediction models. Results Response rate to the electronic survey was low (9%). Students were able to interpret questions; open-ended options were inappropriately used 13% of the time. Post survey qualitative responses indicated displeasure with use of school-associated e-mail addresses. Concerns with confidentiality were expressed as well as preference for completion of surveys during school time. Students reliably reported anthropometry most measures fell within the 95% CI of Bland-Altman plots. SVM classified with a prediction accuracy of 95%. Estimates of overweight from recorded and reported measures were similar. Conclusions Adolescents are able to report simple anthropometry, and this can be used to help with monitoring of growth and overweight. Although they are capable of competently completing electronic surveys, school-based email is an ineffective contact tool. In-person school-based contact and administration of surveys are preferred. Adolescents can reliably report simple anthropometry that can be utilized for estimation of overweight/obesity prevalence. This method can be widely applied.

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Brili, Nika, Mirko Ficko, and Simon Klančnik. "Tool Condition Monitoring of the Cutting Capability of a Turning Tool Based on Thermography." Sensors 21, no. 19 (October 8, 2021): 6687. http://dx.doi.org/10.3390/s21196687.

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In turning, the wear control of a cutting tool benefits product quality enhancement, tool-related costs‘ optimisation, and assists in avoiding undesired events. In small series and individual production, the machine operator is the one who determines when to change a cutting tool, based upon their experience. Bad decisions can often lead to greater costs, production downtime, and scrap. In this paper, a Tool Condition Monitoring (TCM) system is presented that automatically classifies tool wear of turning tools into four classes (no, low, medium, high wear). A cutting tool was monitored with infrared (IR) camera immediately after the cut and in the following 60 s. The Convolutional Neural Network Inception V3 was used to analyse and classify the thermographic images, which were divided into different groups depending on the time of acquisition. Based on classification result, one gets information about the cutting capability of the tool for further machining. The proposed model, combining Infrared Thermography, Computer Vision, and Deep Learning, proved to be a suitable method with results of more than 96% accuracy. The most appropriate time of image acquisition is 6–12 s after the cut is finished. While existing temperature based TCM systems focus on measuring a cutting tool absolute temperature, the proposed system analyses a temperature distribution (relative temperatures) on the whole image based on image features.

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Issa, Sami Abdelhamid Mohamed. "A proposed electronic tool for managing educational procedures, following-up teachers' performance in the classroom, and measuring their attitudes." International Journal of ADVANCED AND APPLIED SCIENCES 9, no. 1 (January 2022): 55–70. http://dx.doi.org/10.21833/ijaas.2022.01.008.

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The educational process depends on many procedures, which lead to positive educational outcomes. The research depends on modern technology in the design and development of an electronic tool that manages the teaching process in the classroom from beginning to end. The purpose of the research is to monitor the teacher's procedures by following up on all teaching procedures using an electronic tool for managing the educational process. The teacher implemented all educational lesson procedures in the classroom through the proposed electronic tool according to its prior preparation. The researcher designed a cognitive achievement test for students of the experimental and control groups to measure the effectiveness of the electronic tool. An attitude scale was applied to teachers to identify their attitude toward using the tool in monitoring procedures in the classroom to ensure the effectiveness of the proposed electronic tool in developing the educational process and enriching the academic situation. The research's results indicated that using the proposed electronic tool improved students' educational achievement by comparing the students' results in the experimental and control groups. The teachers' attitude toward using the tool was also characterized as favorable and desired. The research recommended applying the proposed electronic tool to a more significant number of teachers in different specializations, using the tool reports in overcoming problems in the classroom, and conducting more studies related to performance follow-up and observation in the classroom.

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Gallagher, David, Congwen Zhao, Amanda Brucker, Jennifer Massengill, Patricia Kramer, Eric G. Poon, and Benjamin A. Goldstein. "Implementation and Continuous Monitoring of an Electronic Health Record Embedded Readmissions Clinical Decision Support Tool." Journal of Personalized Medicine 10, no. 3 (August 26, 2020): 103. http://dx.doi.org/10.3390/jpm10030103.

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Unplanned hospital readmissions represent a significant health care value problem with high costs and poor quality of care. A significant percentage of readmissions could be prevented if clinical inpatient teams were better able to predict which patients were at higher risk for readmission. Many of the current clinical decision support models that predict readmissions are not configured to integrate closely with the electronic health record or alert providers in real-time prior to discharge about a patient’s risk for readmission. We report on the implementation and monitoring of the Epic electronic health record—“Unplanned readmission model version 1”—over 2 years from 1/1/2018–12/31/2019. For patients discharged during this time, the predictive capability to discern high risk discharges was reflected in an AUC/C-statistic at our three hospitals of 0.716–0.760 for all patients and 0.676–0.695 for general medicine patients. The model had a positive predictive value ranging from 0.217–0.248 for all patients. We also present our methods in monitoring the model over time for trend changes, as well as common readmissions reduction strategies triggered by the score.

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Liao, T. W., Q. Zou, M. E. Zodhi, and L. Mann. "Online PCBN tool failure monitoring system based on acoustic emission signatures." IEE Proceedings - Science, Measurement and Technology 142, no. 5 (September 1, 1995): 404–10. http://dx.doi.org/10.1049/ip-smt:19952071.

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Achiche, Sofiane, Marek Balazinski, Luc Baron, and Krzysztof Jemielniak. "Tool wear monitoring using genetically-generated fuzzy knowledge bases." Engineering Applications of Artificial Intelligence 15, no. 3-4 (June 2002): 303–14. http://dx.doi.org/10.1016/s0952-1976(02)00071-4.

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Pratama, Mahardhika, Eric Dimla, Tegoeh Tjahjowidodo, Witold Pedrycz, and Edwin Lughofer. "Online Tool Condition Monitoring Based on Parsimonious Ensemble+." IEEE Transactions on Cybernetics 50, no. 2 (February 2020): 664–77. http://dx.doi.org/10.1109/tcyb.2018.2871120.

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Sundram, Frederick, Susan J. Hawken, Karolina Stasiak, Mathijs FG Lucassen, Theresa Fleming, Matthew Shepherd, Andrea Greenwood, Raechel Osborne, and Sally N. Merry. "Tips and Traps: Lessons From Codesigning a Clinician E-Monitoring Tool for Computerized Cognitive Behavioral Therapy." JMIR Mental Health 4, no. 1 (January 11, 2017): e3. http://dx.doi.org/10.2196/mental.5878.

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Background Computerized cognitive behavioral therapy (cCBT) is an acceptable and promising treatment modality for adolescents with mild-to-moderate depression. Many cCBT programs are standalone packages with no way for clinicians to monitor progress or outcomes. We sought to develop an electronic monitoring (e-monitoring) tool in consultation with clinicians and adolescents to allow clinicians to monitor mood, risk, and treatment adherence of adolescents completing a cCBT program called SPARX (Smart, Positive, Active, Realistic, X-factor thoughts). Objective The objectives of our study were as follows: (1) assess clinicians’ and adolescents’ views on using an e-monitoring tool and to use this information to help shape the development of the tool and (2) assess clinician experiences with a fully developed version of the tool that was implemented in their clinical service. Methods A descriptive qualitative study using semistructured focus groups was conducted in New Zealand. In total, 7 focus groups included clinicians (n=50) who worked in primary care, and 3 separate groups included adolescents (n=29). Clinicians were general practitioners (GPs), school guidance counselors, clinical psychologists, youth workers, and nurses. Adolescents were recruited from health services and a high school. Focus groups were run to enable feedback at 3 phases that corresponded to the consultation, development, and postimplementation stages. Thematic analysis was applied to transcribed responses. Results Focus groups during the consultation and development phases revealed the need for a simple e-monitoring registration process with guides for end users. Common concerns were raised in relation to clinical burden, monitoring risk (and effects on the therapeutic relationship), alongside confidentiality or privacy and technical considerations. Adolescents did not want to use their social media login credentials for e-monitoring, as they valued their privacy. However, adolescents did want information on seeking help and personalized monitoring and communication arrangements. Postimplementation, clinicians who had used the tool in practice revealed no adverse impact on the therapeutic relationship, and adolescents were not concerned about being e-monitored. Clinicians did need additional time to monitor adolescents, and the e-monitoring tool was used in a different way than was originally anticipated. Also, it was suggested that the registration process could be further streamlined and integrated with existing clinical data management systems, and the use of clinician alerts could be expanded beyond the scope of simply flagging adolescents of concern. Conclusions An e-monitoring tool was developed in consultation with clinicians and adolescents. However, the study revealed the complexity of implementing the tool in clinical practice. Of salience were privacy, parallel monitoring systems, integration with existing electronic medical record systems, customization of the e-monitor, and preagreed monitoring arrangements between clinicians and adolescents.

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Kutyła-Olesiuk, Anna, Małgorzata Wesoły, and Wojciech Wróblewski. "Hybrid Electronic Tongue as a Tool for the Monitoring of Wine Fermentation and Storage Process." Electroanalysis 30, no. 9 (May 11, 2018): 1983–89. http://dx.doi.org/10.1002/elan.201800093.

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WETZELS, G., P. NELEMANS, J. SCHOUTEN, C. DIRKSEN, T. VANDERWEIJDEN, H. STOFFERS, R. JANKNEGT, P. DELEEUW, and M. PRINS. "Electronic Monitoring of Adherence as a Tool to Improve Blood Pressure ControlA Randomized Controlled Trial." American Journal of Hypertension 20, no. 2 (February 2007): 119–25. http://dx.doi.org/10.1016/j.amjhyper.2006.07.018.

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Pamungkas, Aldian Dwi, Lilik Subiyanto, Afif Zuhri Arfianto, Hendra Agus Widodo, and Rachmad Andri Atmoko. "Electronic Equipment Loads Telemetry in Ferry Ship Passenger Room Based on Long Range Wireless Communication (LoRa)." Indonesian Journal of Engineering Research 1, no. 1 (October 27, 2020): 1–6. http://dx.doi.org/10.11594/ijer.01.01.01.

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The development of information technology both software and hardware support development in various fields, especially in the field of electronics. This progress can be used in making automation systems and controlling electronic and electrical components. With the increasing need for system monitoring in real-time, a model that is more than just portable storage can be developed, using telemetry (remote measurement)systems. This research makes a prototype that is used for remote monitoring of electronic equipment telemetry in the passenger space of ferries using wireless communications. Radiofrequency is used for electronic equipment located in the passenger space. The system is made using ACS712 current sensor and ZMPT101B voltage sensor to measure current and voltage monitored by long-range wireless communications (LoRa) to maintain the strength of the amplifier signal and the distance that the LoRa can reach. By utilizing the frequency of the LoRa, it is expected to monitor the load current and voltage generated by electronic equipment in the ferry passenger's passenger space. From the monitoring tool obtained the test results of testing Television with power 27 W and Voltage 19 Volt obtained the percentage of voltage error is 1.09 % and the percentage of current error is 1.15 %.3. Based on the results of the test data, it can be concluded that the current, voltage in the passenger room of the JokoTole KMP ship is fluctuating. This needs to be done monitoring the current load on the ship, especially in the safety alarm system, electronic devices, pumps for the safety of shipping, which at KMP Joko Tole still uses conventional technology and the absence of adequate electrical system data support.

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Kim, Eun Joo, Ji Young Lim, Geun Myun Kim, and Junghyun Min. "An electronic medical record-based fall risk assessment tool for pediatric inpatients in South Korea: Improved sensitivity and specificity." Child Health Nursing Research 27, no. 2 (April 30, 2021): 137–45. http://dx.doi.org/10.4094/chnr.2021.27.2.137.

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Purpose: To develop a fall risk assessment tool to predict fall risk in pediatric inpatients.Methods: Three tools widely used in clinical practice (Humpty Dumpty Fall Scale, General Risk Assessment for Pediatric Inpatient Falls, and Seoul National University Hospital Pediatric Fall Risk Scale) were examined, and assessment items were extracted. Employing a case-control design, 29 children who experienced falls during hospital stays were selected as the "fall" group, and a control group (93 children) was selected based on age and sex matching. The sensitivity, specificity, and positive and negative predictive values of the newly developed tool ("Newfs-PI") were analyzed.Results: The Newfs-PI consisted of seven items: age, activity, history of falls, length of hospital stay, and medication. The total score ranged from 0 to 15. Its sensitivity and specificity were 62.07% and 74.19%, respectively.Conclusion: The Newfs-PI has high specificity and sensitivity, which are essential for a fall risk assessment tool that complements existing tools. These values are high relative to those of existing assessment tools and satisfy both sensitivity and specificity criteria. As the EMR enables monitoring of the components of the Newfs-PI, the tool can be used as a fall risk assessment and prevention scale for pediatric inpatients.

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