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Relevant bibliographies by topics / Electronic Performance Monitoring

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Academic literature on the topic 'Electronic Performance Monitoring'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Electronic Performance Monitoring"

1

Alder, G. Stoney, and Phillip K. Tompkins. "Electronic Performance Monitoring." Management Communication Quarterly 10, no. 3 (February 1997): 259–88. http://dx.doi.org/10.1177/0893318997010003001.

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Schleifer, Lawrence M. "Electronic performance monitoring (EPM)." Applied Ergonomics 23, no. 1 (February 1992): 4–5. http://dx.doi.org/10.1016/0003-6870(92)90004-f.

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Jeske, Debora, and Alecia M. Santuzzi. "Monitoring what and how: psychological implications of electronic performance monitoring." New Technology, Work and Employment 30, no. 1 (March 2015): 62–78. http://dx.doi.org/10.1111/ntwe.12039.

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Lund, J. "Electronic Performance Monitoring: Implications for Work Design." IFAC Proceedings Volumes 25, no. 27 (September 1992): 83–87. http://dx.doi.org/10.1016/s1474-6670(17)49562-0.

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Chen, T. M., and L. Hu. "Internet performance monitoring." Proceedings of the IEEE 90, no. 9 (September 2002): 1592–603. http://dx.doi.org/10.1109/jproc.2002.802006.

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Rogers, Katherine J. S., Michael J. Smith, and Pascale C. Sainfort. "Electronic Performance Monitoring, Job Design and Psychological Stress." Proceedings of the Human Factors Society Annual Meeting 34, no. 12 (October 1990): 854–58. http://dx.doi.org/10.1177/154193129003401206.

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Aiello, John R., and Elizabeth A. Douthitt. "Social facilitation from Triplett to electronic performance monitoring." Group Dynamics: Theory, Research, and Practice 5, no. 3 (2001): 163–80. http://dx.doi.org/10.1037/1089-2699.5.3.163.

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Lund, J. "Electronic performance monitoring: A review of research issues." Applied Ergonomics 23, no. 1 (February 1992): 54–58. http://dx.doi.org/10.1016/0003-6870(92)90011-j.

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Moorman, Robert H., and Deborah L. Wells. "Can Electronic Performance Monitoring Be Fair? Exploring Relationships Among Monitoring Characteristics, Perceived Fairness, and Job Performance." Journal of Leadership & Organizational Studies 10, no. 2 (May 2003): 2–16. http://dx.doi.org/10.1177/107179190301000202.

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HENDERSON, RON, DOUG MAHAR, ANTHONY SALIBA, FRANK DEANE, and RENEE NAPIER. "Electronic monitoring systems: an examination of physiological activity and task performance within a simulated keystroke security and electronic performance monitoring sytem." International Journal of Human-Computer Studies 48, no. 2 (February 1998): 143–57. http://dx.doi.org/10.1006/ijhc.1997.0167.

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Dissertations / Theses on the topic "Electronic Performance Monitoring"

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Bidaki, Laila June. "The effects of electronic performance monitoring on performance." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2588.

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Jiang, Jie Cheng. "Performance monitoring in transputer-based multicomputer networks." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/28968.

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Parallel architectures, like the transputer-based multicomputer network, offer potentially enormous computational power at modest cost. However, writing programs on a multicomputer to exploit parallelism is very difficult due to the lack of tools to help users understand the run-time behavior of the parallel system and detect performance bottlenecks in their programs. This thesis examines the performance characteristics of parallel programs in a multicomputer network, and describes the design and implementation of a real-time performance monitoring tool on transputers. We started with a simple graph theoretical model in which a parallel computation is represented as a weighted directed acyclic graph, called the execution graph. This model allows us to easily derive a variety of performance metrics for parallel programs, such as program execution time, speedup, efficiency, etc. From this model, we also developed a new analysis method called weighted critical path analysts (WCPA), which incorporates the notion of parallelism into critical path analysis and helps users identify the program activities which have the most impact on performance. Based on these ideas, the design of a real-time performance monitoring tool was proposed and implemented on a 74-node transputer-based multicomputer. Major problems in parallel and distributed monitoring addressed in this thesis are: global state and global clock, minimization of monitoring overhead, and the presentation of meaningful data. New techniques and novel approaches to these problems have been investigated and implemented in our tool. Lastly, benchmarks are used to measure the accuracy and the overhead of our monitoring tool. We also demonstrate how this tool was used to improve the performance of an actual parallel application by more than 50%.
Science, Faculty of
Computer Science, Department of
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Ormond, Wayne E. "Electronic performance monitoring and organizational citizenship behavior, a procedural justice perspective." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0012/MQ34983.pdf.

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Nicolaou, Nicos. "Electronic performance monitoring : the crossover between self-discipline and emotion management." Thesis, University of Warwick, 2015. http://wrap.warwick.ac.uk/69211/.

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This thesis studies the crossover between self-discipline and emotion management in an electronic performance monitoring (EPM) setting. The intersection between these two elements is explained in terms of six main themes: control, power and discipline; compliance, conformity and resistance; rationality, performance standards and corrective action; emotional labour and the management of emotions; society, responsibility and accountability; and subjectivity, internalisation and the self. These main themes emerged from interview data and are supported by the literature. A qualitative methodology was adopted to support a social constructionist perspective. Semi-structured interviews were conducted to collect data from a single case study organisation, and thematic coding was used for analysis. EPM systems installed in the case study call centre are used to control agents’ behaviour, embedding in their minds the importance of controlling and disciplining their own behaviour. They are forced by EPM to manage their own emotions and conform to the rules of the system through self-discipline. Nevertheless, some find it difficult constantly to suppress their emotions and may exhibit resistance. There is a preoccupation with self-correction. Agents internalise the call centre's norms of behavior. The technological environment largely determines the way in which they manage their emotions. They fake their emotions when interacting with callers, supervisors and colleagues, and exercise self-discipline and emotion management to satisfy personal and group expectations. They incorporate the cultural values, motives and beliefs of the EPM context through learning, socialisation and identification. This thesis offers significant theoretical contributions which revolve around the relationship between surveillance-induced self-discipline and emotional labour over time. It aims to alert academics and business people to the problems of emotional labour and to prompt them to make changes to the design, implementation and use of EPM.

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Kaminskaite, Magdalena, and Samir Muzaiek. "Big Brother is Watching: : Electronic Performance Monitoring in the Knowledge-based Sector." Thesis, Jönköping University, IHH, Företagsekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-52770.

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In light of the global shift to remote work that was prompted by the Covid-19 pandemic - the relevance and use of Electronic Performance Monitoring (EPM) significantly escalated across all sectors. However, the most recent comprehensive literature review on the topic by Ravid et al. (2020) pointed out significant gaps in how EPM is perceived by knowledge-based employees. In line with those defined gaps, we raised two research questions, regarding what the perceptions of knowledge-based workers are towards the implementation and dissemination of EPM techniques, and whether the workplace context (home/office) has an effect on knowledge-based worker’s perceptions towards it. In this paper, we take a critical approach relying on a theory-based typology of EPM characteristics and build on the organizational control theory by elaborating on the technology-mediated control concept. We follow the constructivist grounded theory approach developed by Charmaz (2008) and the data was collected via 20 semi-structured interviews. The key findings of this research showed similarities as well as differences in how knowledge-based employees perceive EPM in contrast to other types of workforce. While overall the perceptions on EPM are negative, they can to some extent be alleviated by introducing a justifiable purpose, being transparent, allowing control over monitoring, and setting clear limits. Moreover, we provided insights into the perceptions of knowledge-based workers in response to EPM within the context of working from home. In such a context, knowledge-based workers show more resistance to EPM techniques and higher expectations of privacy, transparency, and appropriate data handling. Lastly, the authors provided avenues for further research including cross-cultural perspective, access to data, and ethicality and legality of EPM.

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Morison, Rebecca, and n/a. "The impact of electronic performance monitoring on staff turnover in a call centre environment." University of Canberra. Health Sciences, 2002. http://erl.canberra.edu.au./public/adt-AUC20050530.111117.

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Call Centres represent one of the fastest growing industries today. In a competitive business environment the service delivered by Call Centre operators needs to be quantified and this is achieved through Electronic Performance Monitoring (EPM). This study considered the effects of EPM, and related factors such as job control, task complexity, performance, goal-setting and feedback, on the job satisfaction, organisational commitment and work stress, of Call Centre operators. The impact of these factors on staff turnover, which media reports suggest is very high for many Call Centres, was also considered. A total of 388 participants (265 females, 123 males) completed a voluntary self-report questionnaire. All participants were Call Centre operators who were working in one of 27 call centres across Australia in a variety of industries, including Banking & Finance, IT, Employment, Insurance and Telecommunications. All operators were working in an electronically monitored environment. Regression and path analyses revealed age, that is younger employees, and job dissatisfaction to be the only variables that predicted staff turnover. A positive perception of EPM was predicted by a positive perception of both goal-setting and feedback. It was concluded that while staff turnover was high in the current sample, it was not associated with perceptions of EPM, and other factors appeared to be more important.

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Baqqar, Mabrouka. "Machine performance and condition monitoring using motor operating parameters through artificial intelligence techniques." Thesis, University of Huddersfield, 2015. http://eprints.hud.ac.uk/id/eprint/28315/.

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Condition monitoring (CM) of gearboxes is a necessary activity due to the crucial importance of gearboxes in power transmission in most industrial applications. There has long been pressure to improve measuring techniques and develop analytical tools for early fault detection in gearboxes. This thesis develops new gearbox monitoring methods by demonstrating that operating parameters (static data) obtained from machine control processes can be used, rather than parameters obtained from vibration and acoustic measurements. Such a development has important implications for the future of CM techniques because it could greatly simplify the measurement process. To monitor the gearbox under different operating and fault conditions based on the static data, three artificial intelligence (AI) techniques: a general regression neural network (GRNN), a back propagation neural network (BPNN), and an adaptive neuro-fuzzy inference system (ANFIS) have been used successfully to capture nonlinear variations of the electric motor current and control parameters such as load settings and temperatures. The three AI systems are taught the expected values of current; load and temperature for the gearbox in a given condition, and then measured values obtained from the gearbox with a known fault introduced are assessed by each of the AI models to indicate the presence of this abnormal condition. The experimental results show that each of GRNN, BPNN and ANFIS are adequate and are able to serve as an effective tool for gearbox condition monitoring and fault detection. The main contributions of this study is to examine the performance of a model based condition monitoring approach by using just operating parameters for fault detection in a two stage gearbox. A model for current prediction is developed using an ANFIS, GRNN and BPNN which captures the complicated inter-relations between measured variables, and uses direct comparison between the measured and predicted values for fault detection.

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Kårfors, André. "Social persuasion and electronic performance monitoring : A qualitative study of feedback and self-efficacy in call centers." Thesis, Stockholms universitet, Företagsekonomiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-158439.

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Electronic performance monitoring (EPM) has long been associated with an array of negative effects, one of which is decreased employee self-efficacy, an essential determinant of human agency and workplace success. The negative discourse of control and discipline dominating the research field fails to account for the role of performance feedback, an integral component of EPM and part of an alternative discourse focusing on employee development. While feedback has been shown to ameliorate the negative impact of EPM, its effect on self-efficacy remains unclear. Therefore, this study investigates how employees subjected to EPM perceive and experience social persuasion – feedback aimed at increasing self-efficacy – using semi-structured interviews (with 10 customer service agents from as many call centers) and theoretical thematic analysis. The findings suggest that social persuasion can mitigate the efficacy-depleting effects of EPM, and that a mixture of positive and negative feedback is particularly conducive to successful persuasion. Moreover, the conflict between management's predilection for quantitative performance criteria and employees' qualitatively oriented conceptions of service quality is found to be a key issue. Based on these findings, it is argued that the heavy emphasis on positive feedback found in extant literature on EPM and self-efficacy is potentially misleading, as is the dominance of the control and discipline discourse. Finally, it is argued that social persuasion may ameliorate the quantitative-qualitative conflict, and that the potential of social persuasion is particularly high in call centers, where low self-efficacy levels are likely to be the norm.

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Alge, Bradley J. "Electronic performance monitoring and control systems: an examination of the roles of organizational justice and organizational privacy." The Ohio State University, 1999. http://rave.ohiolink.edu/etdc/view?acc_num=osu1277384776.

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Alge, Bradley J. "Electronic performance monitoring and control systems ; ban examination of the roles of organizational justice and organizational privacy /." The Ohio State University, 1999. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488190595940972.

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Books on the topic "Electronic Performance Monitoring"

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Smith, Michael J. Motivational, behavioral, and psychological implications of electronic monitoring of worker performance. [Washington, D.C.?: The Office, 1986.

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Montana. Legislature. Office of the Legislative Auditor. Performance audit report: Regulation and monitoring of video gambling machines, Department of Justice, Gambling Control Division. Helena, Mont: The Office, 1994.

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Singh, Janardan Prasad. 2005 Annual Report on Operations Evaluation. Washington, D.C: The World Bank, 2006.

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Vasfi, Gucer, and International Business Machines Corporation. International Technical Support Organization., eds. IBM Tivoli Monitoring: Implementation and performance optimization for large scale environments. [Poughkeepsie, NY]: International Technical Support Organizatioin, 2008.

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Temperton, David H. Personal monitoring. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199655212.003.0008.

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Personal dose monitoring provides the important check and reassurance that radiation doses to those working with radiation are at a level that complies with dose constraints. The quantity which is relevant to external personal monitoring is the personal dose equivalent Hp(d) defined by the ICRU. Values at different depths d are equated to effective dose or doses to the skin or eye lens. This chapter contains the basic information that the radiation protection practitioner needs on personal monitoring, and the requirements for running a personal dose-monitoring service, including dosimeter calibration, performance testing, and record keeping. Techniques used in different types of dosemeters such as thermoluminescent dosimetry and optically stimulated luminescence, as well as neutron detection are explained, together with practical considerations for eye dose and extremity monitoring. Use of electronic personal dosemeters is discussed and techniques for monitoring internal exposure are described.

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Book chapters on the topic "Electronic Performance Monitoring"

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Sousa, Artur Afonso, Pedro Agante, and Luís Borges Gouveia. "Governmeter: Monitoring Government Performance. A Web Based Application Proposal." In Electronic Government and the Information Systems Perspective, 158–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15172-9_16.

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Aiello, John R., and Kathryn J. Kolb. "Electronic performance monitoring: A risk factor for workplace stress." In Organizational risk factors for job stress., 163–79. Washington: American Psychological Association, 1995. http://dx.doi.org/10.1037/10173-010.

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Schleifer, Lawrence M., Traci L. Galinsky, and Christopher S. Pan. "Mood disturbance and musculoskeletal discomfort effects of electronic performance monitoring in a vdt data-entry task." In Organizational risk factors for job stress., 195–203. Washington: American Psychological Association, 1995. http://dx.doi.org/10.1037/10173-012.

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Kalischko, Thomas, and René Riedl. "Physiological Measurement in the Research Field of Electronic Performance Monitoring: Review and a Call for NeuroIS Studies." In Information Systems and Neuroscience, 233–43. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60073-0_27.

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Khatami, Ahmad Akbar, Husneni Mukhtar, and Dien Rahmawati. "Performance Comparison of Strain Sensors for Wearable Device in Respiratory Rate Monitoring." In Proceedings of the 1st International Conference on Electronics, Biomedical Engineering, and Health Informatics, 723–34. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6926-9_63.

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Hauske, Fabian N., and Maxim Kuschnerov. "Optical performance monitoring based on electronic digital signal processing." In Optical Performance Monitoring, 261–300. Elsevier, 2010. http://dx.doi.org/10.1016/b978-0-12-374950-5.00010-9.

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"Performance Monitoring in the 21st Century." In Encyclopedia of Electronic HRM, 182–87. De Gruyter Oldenbourg, 2020. http://dx.doi.org/10.1515/9783110633702-028.

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Bandopadhyay, Tapati, and Pradeep Kumar. "SLA Monitoring of Presence-Enabled Services." In Electronic Services, 705–17. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-967-5.ch042.

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The concept of presence was initially associated with an instant messaging service, allowing an end user to recognize the presence of a peer online to send or receive messages. Now the technology has grown up to include various services like monitoring performance of any type of end user device, and services are accessible from anywhere, any time. The need for enhanced value remains the driving force behind these services, for example, Voice over Internet Protocol (VoIP) services, which is drawing tremendous research interest in services performance evaluation, measurement, benchmarking, and monitoring. Monitoring service level parameters happens to be one of the most interesting application-oriented research issues because various service consumers at the customer companies/end users’ level are finding it very difficult to design and monitor an effective SLA (Service Level Agreement) with the presence-enabled service providers. This chapter focuses on to these specific issues and presents a new approach of SLA monitoring through Data Envelopment Analysis (DEA). This extreme point approach actually can work much better in the context of SLA monitoring than general central-tendency-based statistical tools, a fact which has been corroborated by similar application examples of DEA presented in this chapter and has therefore it acts as the primary motivation to propose this new approach. Towards this end, this chapter first builds up the context of presence-enabled services (Day, Rosenburg, & Sugano, 2000), its SLA and SLA parameters, and the monitoring requirements. Then it explains the basics of DEA and its application in various other engineering and services context. Ultimately, a DEA application framework for monitoring an SLA of presence-enabled services is proposed which can serve as a clear guideline for the customers of presence-enabled services, not only for SLA monitoring but also at various other stages of implementing presence-enabled services frameworks. This approach exploits the definitive suitability of the application of DEA methods to presence-enabled service monitoring problems, and can be easily implemented by the industry practitioners.

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Rogers, Katherine J. S., Michael J. Smith, and Pascale C. Sainfort. "Electronic Performance Monitoring, Job Design and Psychological Stress." In Information and Communication Technologies, Society and Human Beings, 98–103. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-057-0.ch008.

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This study helps establish how electronic performance monitoring may influence employee physical strain levels through job design. It identifies job design variables which differ between monitored and non-monitored employees in the telecommunications industry (using discriminant function analysis). These variables’ relationships to psychological stress outcomes were examined using multiple regression analysis. A group of 704 employees in three job categories (telephone operator {n=228}, customer service representative {n=230}, and clerk {n=246}) responded to a questionnaire survey mailed to their residence. Four hundred thirty-four of the respondents were monitored and 264 were not. The results indicated that the monitored employees had significantly higher levels of reported psychological stress than the non-monitored employees. The discriminant function analysis of job design variables showed that a variety of job design factors discriminated between monitored and non-monitored employees. High levels of workload, few lulls between periods of high workload, high levels of career/future ambiguity, poor relationships with supervisors, as well as low levels of task meaningfulness and completeness were significant predictors of psychological stress outcomes (tension, anxiety, depression and fatigue).

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Panina, Daria. "Electronic Monitoring in the Workplace." In Encyclopedia of Human Resources Information Systems, 314–20. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-883-3.ch047.

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Recent advances in technology have led to the rapid development of electronic monitoring in the workplace (Chen & Ross, 2007). Electronic monitoring is widely used in many industries, and there is no doubt that the size of the workforce subjected to it continues to grow (American Management Association, 2005; D’Urso, 2006). It is used by organizations due to its potential to optimize supervision and control processes, protect company assets, safeguard property information, and avoid costly litigation (Case & Young, 2002; Friedman & Reed, 2007). Electronic monitoring can become a central organizational tool for human resource management as well. It can have a profound impact on several HR functions. For example, an electronic monitoring system may be used as a source of data for performance management and performance evaluation and provide the basis for promotion, training, and development decisions (Wells, Moornan, & Werner, 2007). Due to these capabilities, electronic monitoring affects an array of work-related attitudes and behaviors of employees and management (Stanton, 2000b). Existing research is focusing on identifying the ways to make electronic monitoring acceptable to all stakeholders, by elucidating electronic monitoring designs that help maintain the motivation and well-being of individuals. However, we are only beginning to address the issue of the effects of organizational culture and human resource strategy on the role of electronic monitoring and its effectiveness within specific organizational contexts (Chen & Ross, 2005). These contextual factors may determine the role that electronic monitoring plays in managing human resources, from being one of the technology-enhanced human resource management practices devolved to line managers, to being a central part of the overall human resource strategy that supports various HR functions within an organization. The purpose of this article is to present a model of electronic monitoring effectiveness that combines the major electronic monitoring characteristics, their individual and organizational outcomes, and contextual variables that affect electronic monitoring acceptance and use.

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Conference papers on the topic "Electronic Performance Monitoring"

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Jian Yin, Liangyin Jiang, Yin Jian, and Ming Li. "Virtual instrumentation for motorized spindle performance monitoring." In 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering (CMCE 2010). IEEE, 2010. http://dx.doi.org/10.1109/cmce.2010.5610354.

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Wan, Qiansu, Geng Yang, Qiang Chen, and Li-Rong Zheng. "Electrical performance of inkjet printed flexible cable for ECG monitoring." In 2011 IEEE 20th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS). IEEE, 2011. http://dx.doi.org/10.1109/epeps.2011.6100234.

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Zhou, Lin, Gang Jing, Yan Liu, and Haimei Luo. "On-line monitoring flip LED chip performance degradation and failure analysis." In 2017 18th International Conference on Electronic Packaging Technology (ICEPT). IEEE, 2017. http://dx.doi.org/10.1109/icept.2017.8046645.

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HU, Wenhua, Xiaoxiu ZHU, Yongshan MA, Baofeng GUO, and Dongfang XUE. "Design of Receiver Performance Online Monitoring System in Radar BIT." In 2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT). IEEE, 2019. http://dx.doi.org/10.1109/iceict.2019.8846329.

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Faralli, Stefano, Lorenzo Tozzetti, Fabrizio Gambini, Fabrizio Di Pasquale, Ivano Izzo, Tommaso Barsanti, and Luca Matteucci. "Monitoring gasoline direct injectors for engine performance and emission control." In 2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE). IEEE, 2019. http://dx.doi.org/10.23919/eeta.2019.8804506.

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Chan, Tuck-Boon, Puneet Gupta, Andrew B. Kahng, and Liangzhen Lai. "DDRO: A novel performance monitoring methodology based on design-dependent ring oscillators." In 2012 13th International Symposium on Quality Electronic Design (ISQED). IEEE, 2012. http://dx.doi.org/10.1109/isqed.2012.6187559.

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Yuan, Cadmus, An Xiao, Joey Salta, Michel de Langen, and Willem van Driel. "Thermal modeling for advanced high power packaging development and on-line performance monitoring." In 2010 3rd Electronic System-Integration Technology Conference (ESTC). IEEE, 2010. http://dx.doi.org/10.1109/estc.2010.5642900.

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Yue, Song, Yu Jinsong, Tang Diyin, Liang Xu, and Dai Jing. "A dynamic bayesian network approach for electro-optical system performance monitoring digital twin." In 2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI). IEEE, 2019. http://dx.doi.org/10.1109/icemi46757.2019.9101414.

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Sadineni, Suresh B., Srikanth Madala, and Robert F. Boehm. "A Cost Effective Solar Tracker and Performance Monitoring System for Utility Scale Photovoltaic Installations." In ASME 2012 6th International Conference on Energy Sustainability collocated with the ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/es2012-91533.

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A prototype of an integrated tracking and monitoring system is developed and experimentally tested in the environmental conditions of the desert south-west. This system hardware design incorporates both the tracker control and performance monitoring mechanism. A wireless communication protocol coupled with internet transmits the PV panel performance information collected by the electronic sensors to a remote user who can monitor the system performance. The initial experimental results of this newly developed system performance are presented. Finally, an economic analysis is conducted to evaluate the applicability of the current system to a utility scale installation. The preliminary results suggest that there would be a 25% average increase in solar insolation received by a single-axis tracking surface over a fixed (tilt equal to local latitude) surface during the winter months. Although, limited amount of data is available for typical summer days, results from September days suggest an increase in solar insolation as high as 38%. Also, such an integrated tracking and monitoring system will yield in better monitoring resolution due to monitoring at the string level as opposed to central inverter level in the central inverter type PV power plant topology. The monitoring sub-system design incorporates cutting edge electronic sensors. The measurements using these sensors were compared against the measurement through a programmable D.C load. The difference between both the power measurements is well within a median of 5–12% suggesting a good agreement between both the measurements.

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Capelli, Laura, and Selena Sironi. "Monitoring odour emisssions from an oil & gas plant: Electronic nose performance testing in the field." In 2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose (ISOEN). IEEE, 2017. http://dx.doi.org/10.1109/isoen.2017.7968862.

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