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Gorenc, Mateja. "ELECTRONIC MONITORING IN THE WORKPLACE." Innovative Issues and Approaches in Social Sciences 10, no. 1 (January 31, 2017): 54–86. http://dx.doi.org/10.12959/issn.1855-0541.iiass-2017-no1-art3.
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Camardella, Matthew J. "Electronic monitoring in the workplace." Employment Relations Today 30, no. 3 (2003): 91–100. http://dx.doi.org/10.1002/ert.10102.
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Smith, Kevin J., and Rachel J. Tischler. "Electronic Monitoring in the Workplace." Employment Relations Today 42, no. 1 (April 2015): 73–79. http://dx.doi.org/10.1002/ert.21491.
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Oz, Effy, Richard Glass, and Robert Behling. "Electronic workplace monitoring: What employees think." Omega 27, no. 2 (April 1999): 167–77. http://dx.doi.org/10.1016/s0305-0483(98)00037-1.
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Holland, Peter Jeffrey, Brian Cooper, and Rob Hecker. "Electronic monitoring and surveillance in the workplace." Personnel Review 44, no. 1 (February 2, 2015): 161–75. http://dx.doi.org/10.1108/pr-11-2013-0211.
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Purpose – Electronic monitoring and surveillance (EMS) practices provide new challenges in the workplace. The purpose of this paper is to examine the relationship between EMS in the workplace on employees’ trust in management. Design/methodology/approach – This paper is based upon data from the 2012 Australian Electronic Workplace Survey of 500 randomly sampled employees. Controlling for a range of personal, job and workplace characteristics, the data were analysed using OLS and ordered probit regression. Findings – The regression analyses identified that EMS has, on average, a negative relationship with trust in management. The authors further differentiated the sample to examine the potential impact of EMS on trust between manual and non-manual employees. The study found the relationship between EMS and trust in management was only evident for manual workers. Research limitations/implications – Future research should investigate the extent to which employee attitudes, commitment and engagement are impacted, and the individual-level and organisational-level outcomes of EMS. Causal inferences are necessarily limited and the research does not address managers’ underlying motives. Although self-reported data on EMS reflect objectively measured characteristics of the organisation. Practical implications – EMS can have negative effects on the employment relationship through the loss of trust in management, especially for manual workers. Tangible effects may flow from this through withdrawal behaviour such as employee exit from the organisation. Social implications – The findings of this study provide evidence to add to the debate on the extent and impact of EMS in the workplace and its impact on employees, the employment relationship and productivity. Originality/value – Workplace surveillance is one of the most contentious issues facing employers, workers, unions, government and legal experts. However, little research has been undertaken on the effects of EMS on important job-related attitudes such as trust. The current paper remedies some of these deficits.
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Flanagan, Julie A. "Restricting Electronic Monitoring in the Private Workplace." Duke Law Journal 43, no. 6 (April 1994): 1256. http://dx.doi.org/10.2307/1372857.
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Manokha, Ivan. "The Implications of Digital Employee Monitoring and People Analytics for Power Relations in the Workplace." Surveillance & Society 18, no. 4 (November 30, 2020): 540–54. http://dx.doi.org/10.24908/ss.v18i4.13776.
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Jeremy Bentham’s panopticon prison project was based on three central assumptions: the omnipresence of the “watcher”; the universal visibility of objects of surveillance; and the assumption, by the “watched,” that they are under constant observation. While the metaphor of the panopticon, following Michel Foucault’s work, was often applied to workplace and workplace surveillance to highlight the “disciplining” power of the supervisor’s “gaze,” this paper argues that it is only with the recent advent of digital employee monitoring technology that the workplace is becoming truly “panoptic.” With modern electronic means of surveillance, the supervisor is always “looking”—even when not physically present or not actually watching employees—as all worker actions and movements may now be recorded and analyzed (in real time or at any time in the future). This paper argues that the modern workplace approximates Bentham’s panoptic prison much more than the “traditional” workplace ever did and examines the implications of this fundamental historical change in the paradigm of employee monitoring for power relations in the modern workplace.
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Pistorius, Tania. "Monitoring, interception and Big Boss in the workplace: is the devil in the details?" Potchefstroom Electronic Law Journal/Potchefstroomse Elektroniese Regsblad 12, no. 1 (June 26, 2017): 1. http://dx.doi.org/10.17159/1727-3781/2009/v12i1a2718.
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This article discusses the opposing dynamics in the modern workplace environment, specifically employees’ expectations of e-privacy and employers’ interception and monitoring of electronic communications. In terms of the Regulation of Interception of Communications and Provision of Communication-Related Information Act 70 of 2002 employees must take prior notice of or consent to the interception and monitoring of their e-communications. The article focuses on the extent to which click-wrap agreements and hypertext or XML links to e-workplace policies could meet these requirements.
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Zarkovic, Ivan. "Measures of electronic monitoring of employees and the right to privacy in the workplace." Nauka, bezbednost, policija 20, no. 3 (2015): 165–82. http://dx.doi.org/10.5937/nbp1503165z.
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Enghagen, Linda K., Eric P. Healy, and Robert Kirschner. "The Office No Longer has Walls: Privacy Rights and Electronic Monitoring in the Workplace." Hospitality Research Journal 18, no. 2 (February 1994): 115–25. http://dx.doi.org/10.1177/109634809401800208.
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Payne, Julianne. "Manufacturing Masculinity: Exploring Gender and Workplace Surveillance." Work and Occupations 45, no. 3 (June 11, 2018): 346–83. http://dx.doi.org/10.1177/0730888418780969.
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Research on workplace surveillance highlights managerial initiatives to expand monitoring and make it less obtrusive, but we know relatively little about how to explain workers’ diverse responses to monitoring. Using ethnographic data collected at an electronics retailer, I suggest that gender-related status seeking between workers helps to account for variation in workers’ experience of and responses to workplace surveillance. Men used surveillance to demonstrate their skill and expertise relative to other men, a process I refer to as “manufacturing masculinity.” Although women also aspired to be strong and knowledgeable salespeople, they were treated as illegitimate competitors in men’s status contests. The company’s masculine culture primed workers to interpret surveillance through this gendered lens.
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Abu Hasan, Rumaisa, Shahida Sulaiman, Nur Nabila Ashykin, Mohd Nasir Abdullah, Yasir Hafeez, and Syed Saad Azhar Ali. "Workplace Mental State Monitoring during VR-Based Training for Offshore Environment." Sensors 21, no. 14 (July 18, 2021): 4885. http://dx.doi.org/10.3390/s21144885.
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Adults are constantly exposed to stressful conditions at their workplace, and this can lead to decreased job performance followed by detrimental clinical health problems. Advancement of sensor technologies has allowed the electroencephalography (EEG) devices to be portable and used in real-time to monitor mental health. However, real-time monitoring is not often practical in workplace environments with complex operations such as kindergarten, firefighting and offshore facilities. Integrating the EEG with virtual reality (VR) that emulates workplace conditions can be a tool to assess and monitor mental health of adults within their working environment. This paper evaluates the mental states induced when performing a stressful task in a VR-based offshore environment. The theta, alpha and beta frequency bands are analysed to assess changes in mental states due to physical discomfort, stress and concentration. During the VR trials, mental states of discomfort and disorientation are observed with the drop of theta activity, whilst the stress induced from the conditional tasks is reflected in the changes of low-alpha and high-beta activities. The deflection of frontal alpha asymmetry from negative to positive direction reflects the learning effects from emotion-focus to problem-solving strategies adopted to accomplish the VR task. This study highlights the need for an integrated VR-EEG system in workplace settings as a tool to monitor and assess mental health of working adults.
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Tabak, Filiz, and William P. Smith. "Privacy and Electronic Monitoring in the Workplace: A Model of Managerial Cognition and Relational Trust Development." Employee Responsibilities and Rights Journal 17, no. 3 (September 2005): 173–89. http://dx.doi.org/10.1007/s10672-005-6940-z.
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Jaculjaková, Simona, Dominik Laitkep, and Jana Štofková. "KVALITA ELEKTRONICKÝCH SLUŽIEB POSKYTOVANÝCH NÁRODNÝM POŠTOVÝM OPERÁTOROM V KONTEXTE ROZVOJA DIGITÁLNEJ EKONOMIKY." Pošta, Telekomunikácie a Elektronický obchod 15, no. 1 (2020): 17–23. http://dx.doi.org/10.26552/pte.c.2020.1.3.
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In general, the term quality can be characterized as an overall summary of the characteristics and features of a product or service that satisfies anticipated needs. At present, the emphasis is on analyzing the quality of electronic services. For this reason, this article is devoted to analyzing the quality of electronic services at the Citizen's Integrated Service Point. The aim of this article is to carry out primary research aimed at monitoring customer satisfaction with the quality of electronic services of the Integrated citizen serice point workplace in Žilina self-governing region.
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Princi, Evgenia, and Nicole C. Krämer. "Acceptance of Smart Electronic Monitoring at Work as a Result of a Privacy Calculus Decision." Informatics 6, no. 3 (September 10, 2019): 40. http://dx.doi.org/10.3390/informatics6030040.
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Smart technology in the area of the Internet of Things (IoT) that extensively gathers user data in order to provide full functioning has become ubiquitous in our everyday life. At the workplace, individual’s privacy is especially threatened by the deployment of smart monitoring technology due to unbalanced power relations. In this work we argue that employees’ acceptance of smart monitoring systems can be predicted based on privacy calculus considerations and trust. Therefore, in an online experiment (N = 661) we examined employees’ acceptance of a smart emergency detection system, depending on the rescue value of the system and whether the system’s tracking is privacy-invading or privacy-preserving. We hypothesized that trust in the employer, perceived benefits and risks serve as predictors of system acceptance. Moreover, the moderating effect of privacy concerns is analyzed.
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Kaifer, R. C., J. F. Kordas, P. L. Phelps, C. T. Prevo, A. H. Biermann, D. W. Rueppel, D. L. Sawyer, R. M. Del Vasto, T. J. Merrill, and R. E. Salbeck. "A Transuranic-Aerosol-Measurement System for the Workplace or Stack Monitoring." IEEE Transactions on Nuclear Science 33, no. 1 (February 1986): 624–30. http://dx.doi.org/10.1109/tns.1986.4337180.
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Akbar, Mark, Pavlidis, and Gutierrez-Osuna. "An Empirical Study Comparing Unobtrusive Physiological Sensors for Stress Detection in Computer Work." Sensors 19, no. 17 (August 30, 2019): 3766. http://dx.doi.org/10.3390/s19173766.
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Several unobtrusive sensors have been tested in studies to capture physiological reactions to stress in workplace settings. Lab studies tend to focus on assessing sensors during a specific computer task, while in situ studies tend to offer a generalized view of sensors’ efficacy for workplace stress monitoring, without discriminating different tasks. Given the variation in workplace computer activities, this study investigates the efficacy of unobtrusive sensors for stress measurement across a variety of tasks. We present a comparison of five physiological measurements obtained in a lab experiment, where participants completed six different computer tasks, while we measured their stress levels using a chest-band (ECG, respiration), a wristband (PPG and EDA), and an emerging thermal imaging method (perinasal perspiration). We found that thermal imaging can detect increased stress for most participants across all tasks, while wrist and chest sensors were less generalizable across tasks and participants. We summarize the costs and benefits of each sensor stream, and show how some computer use scenarios present usability and reliability challenges for stress monitoring with certain physiological sensors. We provide recommendations for researchers and system builders for measuring stress with physiological sensors during workplace computer use.
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Oikonomou, P., A. Botsialas, A. Olziersky, I. Kazas, I. Stratakos, S. Katsikas, D. Dimas, et al. "A wireless sensing system for monitoring the workplace environment of an industrial installation." Sensors and Actuators B: Chemical 224 (March 2016): 266–74. http://dx.doi.org/10.1016/j.snb.2015.10.043.
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Blumenfeld, Stephen, Gordon Anderson, and Val Hooper. "Covid-19 and Employee Surveillance." New Zealand Journal of Employment Relations 45, no. 2 (December 14, 2020): 42–56. http://dx.doi.org/10.24135/nzjer.v45i2.28.
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While working from home is not a new concept, the advent of the Covid-19 pandemic has, for many in the workforce, rendered it the ‘new normal’, concomitant with enhanced use of workplace surveillance technologies to monitor and track staff working from home. Even prior to the global pandemic, organisations were increasingly using a variety of electronic surveillance methods to monitor their employees and the places where they work, whether it be in an office building or remotely. This technology traverses various facets of the work environment, including email communications, web browsing, the use of active badges for locating and tracking employees, and the gathering of personal information by employers. The application of these technologies, nevertheless, raises privacy concerns, which are exacerbated when work is undertaken in employees’ own homes, a phenomenon that has become more prevalent due to Covid-19. This article addresses the issue of electronic workplace monitoring, its implications for employees’ privacy and the role of collective bargaining in addressing this emergent practice, which has also been given new impetus during the pandemic.
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Alkhaldi, Faisal, and Ali Alouani. "Systemic Design Approach to a Real-Time Healthcare Monitoring System: Reducing Unplanned Hospital Readmissions." Sensors 18, no. 8 (August 2, 2018): 2531. http://dx.doi.org/10.3390/s18082531.
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Following hospital discharge, millions of patients continue to recover outside formal healthcare organizations (HCOs) in designated transitional care periods (TCPs). Unplanned hospital readmissions of patients during TCPs adversely affects the quality and cost of care. In order to reduce the rates of unplanned hospital readmissions, we propose a real-time patient-centric system, built around applications, to assist discharged patients in remaining at home or in the workplace while being supported by care providers. Discrete-event system modeling techniques and supervisory control theory play fundamental roles in the system’s design. Simulation results and analysis show that the proposed system can be effective in documenting a patient’s condition and health-related behaviors. Most importantly, the system tackles the problem of unplanned hospital readmissions by supporting discharged patients at a lower cost via home/workplace monitoring without sacrificing the quality of care.
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Svertoka, Ekaterina, Salwa Saafi, Alexandru Rusu-Casandra, Radim Burget, Ion Marghescu, Jiri Hosek, and Aleksandr Ometov. "Wearables for Industrial Work Safety: A Survey." Sensors 21, no. 11 (June 2, 2021): 3844. http://dx.doi.org/10.3390/s21113844.
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Today, ensuring work safety is considered to be one of the top priorities for various industries. Workplace injuries, illnesses, and deaths often entail substantial production and financial losses, governmental checks, series of dismissals, and loss of reputation. Wearable devices are one of the technologies that flourished with the fourth industrial revolution or Industry 4.0, allowing employers to monitor and maintain safety at workplaces. The purpose of this article is to systematize knowledge in the field of industrial wearables’ safety to assess the relevance of their use in enterprises as the technology maintaining occupational safety, to correlate the benefits and costs of their implementation, and, by identifying research gaps, to outline promising directions for future work in this area. We categorize industrial wearable functions into four classes (monitoring, supporting, training, and tracking) and provide a classification of the metrics collected by wearables to better understand the potential role of wearable technology in preserving workplace safety. Furthermore, we discuss key communication technologies and localization techniques utilized in wearable-based work safety solutions. Finally, we analyze the main challenges that need to be addressed to further enable and support the use of wearable devices for industrial work safety.
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Liang, Steve H. L., Sara Saeedi, Soroush Ojagh, Sepehr Honarparvar, Sina Kiaei, Mahnoush Mohammadi Jahromi, and Jeremy Squires. "An Interoperable Architecture for the Internet of COVID-19 Things (IoCT) Using Open Geospatial Standards—Case Study: Workplace Reopening." Sensors 21, no. 1 (December 24, 2020): 50. http://dx.doi.org/10.3390/s21010050.
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To safely protect workplaces and the workforce during and after the COVID-19 pandemic, a scalable integrated sensing solution is required in order to offer real-time situational awareness and early warnings for decision-makers. However, an information-based solution for industry reopening is ineffective when the necessary operational information is locked up in disparate real-time data silos. There is a lot of ongoing effort to combat the COVID-19 pandemic using different combinations of low-cost, location-based contact tracing, and sensing technologies. These ad hoc Internet of Things (IoT) solutions for COVID-19 were developed using different data models and protocols without an interoperable way to interconnect these heterogeneous systems and exchange data on people and place interactions. This research aims to design and develop an interoperable Internet of COVID-19 Things (IoCT) architecture that is able to exchange, aggregate, and reuse disparate IoT sensor data sources in order for informed decisions to be made after understanding the real-time risks in workplaces based on person-to-place interactions. The IoCT architecture is based on the Sensor Web paradigm that connects various Things, Sensors, and Datastreams with an indoor geospatial data model. This paper presents a study of what, to the best of our knowledge, is the first real-world integrated implementation of the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) and IndoorGML standards to calculate the risk of COVID-19 online using a workplace reopening case study. The proposed IoCT offers a new open standard-based information model, architecture, methodologies, and software tools that enable the interoperability of disparate COVID-19 monitoring systems with finer spatial-temporal granularity. A workplace cleaning use case was developed in order to demonstrate the capabilities of this proposed IoCT architecture. The implemented IoCT architecture included proximity-based contact tracing, people density sensors, a COVID-19 risky behavior monitoring system, and the contextual building geospatial data.
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Tomczak, Michał T. "Individuals with Autism Spectrum Disorders in the Digitized Work Environment – Review of Technological Solutions Supporting Integration." Kwartalnik Ekonomistów i Menedżerów 52, no. 2 (April 24, 2019): 45–54. http://dx.doi.org/10.5604/01.3001.0013.2346.
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The aim of the article is to examine the opportunities for employees with ASD, arising from assistive technology in order to integrate work environment. The possible solution to a communication problem is replacing the interpersonal communication between employees with electronic forms of communication, communicators, chats, chatbots. Furthermore, there is the implementation of wearable electronic systems monitoring stress level and facilitating effective stress control. In the future, developing the work environment according to ‘smart workplace concept’ is expected, by connecting sensors recording human body parameters in a network with sensors recording ambient physical parameters and also with the controllers of its values, adjusting it dynamically. As a result, distracting factors influencing work performance could be eliminated, improving the work comfort of people with ASD and their collaborators.
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Toledo, Javier, Víctor Ruiz-Díez, Maik Bertke, Hutomo Suryo Wasisto, Erwin Peiner, and José Sánchez-Rojas. "Piezoelectric MEMS Resonators for Cigarette Particle Detection." Micromachines 10, no. 2 (February 21, 2019): 145. http://dx.doi.org/10.3390/mi10020145.
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In this work, we demonstrate the potential of a piezoelectric resonator for developing a low-cost sensor system to detect microscopic particles in real-time, which can be present in a wide variety of environments and workplaces. The sensor working principle is based on the resonance frequency shift caused by particles collected on the resonator surface. To test the sensor sensitivity obtained from mass-loading effects, an Aluminum Nitride-based piezoelectric resonator was exposed to cigarette particles in a sealed chamber. In order to determine the resonance parameters of interest, an interface circuit was implemented and included within both open-loop and closed-loop schemes for comparison. The system was capable of tracking the resonance frequency with a mass sensitivity of 8.8 Hz/ng. Although the tests shown here were proven by collecting particles from a cigarette, the results obtained in this application may have interest and can be extended towards other applications, such as monitoring of nanoparticles in a workplace environment.
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Tsybin, Yu N. "MONITORING THE AFR OF THE INFORMATION SIGNAL FILTER OF A FLUX-GATE MAGNETOMETER ON THE EXAMPLE OF A SINGLE LINK BUTTERWORTH FILTER." Kontrol'. Diagnostika, no. 257 (2019): 40–49. http://dx.doi.org/10.14489/td.2019.11.pp.040-049.
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The content of this paper relates to the field of monitoring the parameters of a magnetic field (MF) meter with a MF a fluxgate sensor. The article directly discusses the control method for the amplitude frequency response (AFR) of the second harmonic filter of an EMF fluxgate meter. The purpose of the work is to minimize the workplace (WP) equipment for magnetometer monitoring. We suggest an AFR monitoring method based on three readings. As an input signal source, while monitoring an AFR filter, we suggest the use of a WP fluxgate meter. The fluxgate meter is installed in a magnetic screen. The method consists in generating the filter input signal using the magnetometer. The essence of the suggested method is to analyze the AFR symmetry. As the base filter, we use a second-order Butterworth filter with a narrowband symmetric AFR. The effect of the electrical element filter ratings is systematized in the form of a correspondence table: an electric element – an AFR parameter. We present the AFR sufficiency control analysis in terms of its symmetry. The AFR monitoring, in terms of its symmetry, has been supplemented with the Kр(f0) monitoring using the personal computer. We demonstrate the peculiarities of using a fluxgate meter as an input signal source. We derived the ratio of the magnetometer electronic part parameters that affect the accuracy (discreteness) of the filter’s input signal generation. We present an algorithm with a description of the magnetometer operation in the AFR monitoring mode.
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Rumpsfeld, Markus, Eli Arild, Jan Norum, and Elin Breivik. "Telemedicine in haemodialysis: a university department and two remote satellites linked together as one common workplace." Journal of Telemedicine and Telecare 11, no. 5 (July 1, 2005): 251–55. http://dx.doi.org/10.1258/1357633054471885.
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A common workplace was established between the renal unit at the University Hospital of North Norway and two satellite dialysis centres, in Alta and Hammerfest. A 2 Mbit/s ATM network was employed for IP-based videoconferencing. A common electronic medical record system and dialysis monitoring software were used. During an eight-month study period, nine patients were enrolled and 225 videoconferences were performed for daily visits and regular rounds. A bandwidth of 768 kbit/s was required for satisfactory teledialysis. Although technical (28%) and logistical problems (10%) were frequent, five hospitalizations and one-third of the planned visiting rounds were avoided. An economic analysis showed that annual savings amounted to US$46,613, while annual costs were US$79,489. Despite the technical difficulties in about 30% of conferences, the nurses were satisfied with the videoconferencing system. Digital X-rays were communicated without problems. The pilot study indicates that satellite units may be incorporated into the daily management at the central institution by telemedicine.
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VAGAS, MAREK, and ALENA GALAJDOVA. "APPLICATION OF SPEED AND SEPARATION MONITORING TECHNIQUE AT AUTOMATED ASSEMBLY PROCESS." MM Science Journal 2021, no. 2 (June 2, 2021): 4420–23. http://dx.doi.org/10.17973/mmsj.2021_6_2021036.
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The realization and implementation of a collaborative robotic system in the automotive industry has many advantages in productivity, product quality, and worker ergonomics, but worker safety aspects play a crucial role in these activities. This paper presents the results of ongoing research into developing an automated workplace for an assembly of industrial limit switches based on the cooperation between human and robotic systems. Operating speed and worker-robot separation monitoring methodology (SSM) was used as one of the available methods to reduce the risk of injury according to the technical specification ISO 15066 on collaborative method sharing space with humans. The virtual environment simulation aims to determine the SSM algorithm’s parameters to estimate the minimum protective distance between the robot and the operator. The cooperation between the human and the robot and the safety issues specified by the SSM system assumed operational safety and reduced the operator fatigue during the assembly process.
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Pavelic, Luka, Igor Lackovic, Marija Suric Mihic, and Ivica Prlic. "A TECHNOLOGY OVERVIEW OF ACTIVE IONIZING RADIATION DOSEMETERS FOR PHOTON FIELDS." Radiation Protection Dosimetry 188, no. 3 (December 28, 2019): 361–71. http://dx.doi.org/10.1093/rpd/ncz294.
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Abstract Radiation protection and radiation dosimetry strongly rely on measurements performed by dosimetry instrumentation. Two categories of dosimetry instrumentation prevail: personal dosemeters and survey meters. Passive dosemeters were for many years the base of personal and area dosimetry (environmental, including workplace). Survey meters have been long-established between area meters due to their dose rate measurement capability, but just over a decade ago, debates over possibility that electronic personal dosemeters (EPDs) could replace passive personal dosemeters as legal monitoring devices have started. These debates have now branched into the use of EPDs, but also survey meters in various exposure scenarios, where some concerns have been reported. These concerns were mostly related to the response in pulsed X-ray fields and poor energy response. This article summarizes recent literature related to electronic dosemeters for strongly penetrating photon radiation and covers technologies used in contemporary EPDs and survey meters, their performance and future perspectives.
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Buckingham, Sarah Ann, Andrew James Williams, Karyn Morrissey, Lisa Price, and John Harrison. "Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: A systematic review." DIGITAL HEALTH 5 (January 2019): 205520761983988. http://dx.doi.org/10.1177/2055207619839883.
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Objective This systematic review aimed to assess the effectiveness, feasibility and acceptability of mobile health (mHealth) technology (including wearable activity monitors and smartphone applications) for promoting physical activity (PA) and reducing sedentary behaviour (SB) in workplace settings. Methods Systematic searches were conducted in seven electronic databases (MEDLINE, SPORTDiscus, Scopus, EMBASE, PsycINFO, Web of Science and the Cochrane library). Studies were included if mHealth was a major intervention component, PA/SB was a primary outcome, and participants were recruited and/or the intervention was delivered in the workplace. Study quality was assessed using the Effective Public Health Practice Project (EPHPP) tool. Interventions were coded for behaviour change techniques (BCTs) using the Coventry, Aberdeen and London – Refined (CALO-RE) taxonomy. Results Twenty-five experimental and quasi-experimental studies were included. Studies were highly heterogeneous and only one was rated as ‘strong’ methodological quality. Common BCTs included self-monitoring, feedback, goal-setting and social comparison. A total of 14/25 (56%) studies reported a significant increase in PA, and 4/10 (40%) reported a significant reduction in sedentary time; 11/16 (69%) studies reported a significant impact on secondary outcomes including reductions in weight, systolic blood pressure and total cholesterol. While overall acceptability was high, a large decline in technology use and engagement was observed over time. Conclusions While methodological quality was generally weak, there is reasonable evidence for mHealth in a workplace context as a feasible, acceptable and effective tool to promote PA. The impact in the longer term and on SB is less clear. Higher quality, mixed methods studies are needed to explore the reasons for decline in engagement with time and the longer-term potential of mHealth in workplace interventions. Protocol registration: The review protocol was registered with PROSPERO: CRD42017058856
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Womack, Dana M., Michelle R. Hribar, Linsey M. Steege, Nancy H. Vuckovic, Deborah H. Eldredge, and Paul N. Gorman. "Registered Nurse Strain Detection Using Ambient Data: An Exploratory Study of Underutilized Operational Data Streams in the Hospital Workplace." Applied Clinical Informatics 11, no. 04 (August 2020): 598–605. http://dx.doi.org/10.1055/s-0040-1715829.
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Abstract Background Registered nurses (RNs) regularly adapt their work to ever-changing situations but routine adaptation transforms into RN strain when service demand exceeds staff capacity and patients are at risk of missed or delayed care. Dynamic monitoring of RN strain could identify when intervention is needed, but comprehensive views of RN work demands are not readily available. Electronic care delivery tools such as nurse call systems produce ambient data that illuminate workplace activity, but little is known about the ability of these data to predict RN strain. Objectives The purpose of this study was to assess the utility of ambient workplace data, defined as time-stamped transaction records and log file data produced by non-electronic health record care delivery tools (e.g., nurse call systems, communication devices), as an information channel for automated sensing of RN strain. Methods In this exploratory retrospective study, ambient data for a 1-year time period were exported from electronic nurse call, medication dispensing, time and attendance, and staff communication systems. Feature sets were derived from these data for supervised machine learning models that classified work shifts by unplanned overtime. Models for three timeframes —8, 10, and 12 hours—were created to assess each model's ability to predict unplanned overtime at various points across the work shift. Results Classification accuracy ranged from 57 to 64% across three analysis timeframes. Accuracy was lowest at 10 hours and highest at shift end. Features with the highest importance include minutes spent using a communication device and percent of medications delivered via a syringe. Conclusion Ambient data streams can serve as information channels that contain signals related to unplanned overtime as a proxy indicator of RN strain as early as 8 hours into a work shift. This study represents an initial step toward enhanced detection of RN strain and proactive prevention of missed or delayed patient care.
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Ghazaly, Christelle, Marc Hébrant, Eddy Langlois, Blandine Castel, Marianne Guillemot, and Mathieu Etienne. "Real-Time Ozone Sensor Based on Selective Oxidation of Methylene Blue in Mesoporous Silica Films." Sensors 19, no. 16 (August 10, 2019): 3508. http://dx.doi.org/10.3390/s19163508.
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Sensitive and selective personal exposure monitors are needed to assess ozone (O3) concentrations in the workplace atmosphere in real time for the analysis and prevention of health risks. Here, a cumulative gas sensor using visible spectroscopy for real-time O3 determination is described. The sensing chip is a mesoporous silica thin film deposited on transparent glass and impregnated with methylene blue (MB). The sensor is reproducible, stable for at least 50 days, sensitive to 10 ppb O3 (one-tenth of the occupational exposure limit value in France, Swiss, Canada, U.K., Japan, and the USA) with a measurement range tested up to 500 ppb, and insensitive to NO2 and to large variation in relative humidity. A model and its derivative as a function of time are proposed to convert in real time the sensor response to concentrations, and an excellent correlation was obtained between those data and reference O3 concentrations. This sensor is based on a relatively cheap sensing material and a robust detection system, and its analytical performance makes it suitable for monitoring real-time O3 concentrations in workplaces to promote a safer environment for workers.
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Spunar, Marilyn E., Bernadette M. Racicot, and Michael J. Kalsher. "Camera Surveillance: The Effect of Policy Characteristics on Perceived Fairness and Organizational Commitment." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 39, no. 12 (October 1995): 814–18. http://dx.doi.org/10.1177/154193129503901214.
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The use of camera surveillance in the workplace is increasing. Many corporations have found that cameras are an appropriate tool for reducing employee theft and monitoring employee performance. However, little research has been done on camera surveillance to determine its effects on perceptions of fairness and organizational commitment. Prior research in both electronic performance monitoring and drug testing has shown that measures of fairness and commitment are affected by the purpose of the policy, degree of control allowed to workers, and the severity of outcomes resulting from such policies. The current study examined the effects of purpose (theft reduction versus cheating), type of surveillance (overt versus covert), and consequences of detection (probation versus dismissal) on perceptions of fairness and organizational commitment. Results indicated that participants rated camera surveillance policies intended to reduce theft as more fair than those intended to reduce cheating. Overt policies were perceived as more fair than covert policies. No significant effect of consequence was obtained. Results of a two-stage regression analysis indicated that perceived fairness mediated the relationship between purpose and type of surveillance and organizational commitment. Implications for the development and implementation of camera surveillance policies are discussed.
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Wu, Fan, Taiyang Wu, and Mehmet Yuce. "An Internet-of-Things (IoT) Network System for Connected Safety and Health Monitoring Applications." Sensors 19, no. 1 (December 21, 2018): 21. http://dx.doi.org/10.3390/s19010021.
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This paper presents a hybrid wearable sensor network system towards the Internet of Things (IoT) connected safety and health monitoring applications. The system is aimed at improving safety in the outdoor workplace. The proposed system consists of a wearable body area network (WBAN) to collect user data and a low-power wide-area network (LPWAN) to connect the WBAN with the Internet. The wearable sensors in the WBAN are exerted to measure the environmental conditions around the subject using a Safe Node and monitor the vital signs of the subject using a Health Node. A standalone local server (gateway), which can process the raw sensor signals, display the environmental and physiological data, and trigger an alert if any emergency circumstance is detected, is designed within the proposed network. To connect the gateway with the Internet, an IoT cloud server is implemented to provide more functionalities, such as web monitoring and mobile applications.
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Nikitin, Yury, Pavol Božek, and Jozef Peterka. "Logical–Linguistic Model of Diagnostics of Electric Drives with Sensors Support." Sensors 20, no. 16 (August 8, 2020): 4429. http://dx.doi.org/10.3390/s20164429.
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The presented paper scientifically discusses the progressive diagnostics of electrical drives in robots with sensor support. The AI (artificial intelligence) model proposed by the authors contains the technical conditions of fuzzy inference rule descriptions for the identification of a robot drive’s technical condition and a source for the description of linguistic variables. The parameter of drive diagnostics for a robotized workplace that is proposed here is original and composed of the sum of vibration acceleration amplitudes ranging from a frequency of 6.3 Hz to 1250 Hz of a one-third-octave filter. Models of systems for the diagnostics of mechatronic objects in the robotized workplace are developed based on examples of CNC (Computer Numerical Control) machine diagnostics and mechatronic modules based on the fuzzy inference system, concluding with a solved example of the multi-criteria optimization of diagnostic systems. Algorithms for CNC machine diagnostics are implemented and intended only for research into precisely determined procedures for monitoring the lifetime of the mentioned mechatronic systems. Sensors for measuring the diagnostic parameters of CNC machines according to precisely determined measuring chains, together with schemes of hardware diagnostics for mechatronic systems are proposed.
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Laribi, Ouahiba, Brian Malig, Katherine Sutherland-Ashley, Rachel Broadwin, Walker Wieland, and Charles Salocks. "A Statewide Evaluation of the California Medical Supervision Program Using Cholinesterase Electronic Laboratory Reporting Data." INQUIRY: The Journal of Health Care Organization, Provision, and Financing 54 (January 1, 2017): 004695801770968. http://dx.doi.org/10.1177/0046958017709687.
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The California Medical Supervision program is designed to protect workers who regularly mix, load, or apply the highly toxic Category I and II organophosphates and carbamates from overexposure by monitoring cholinesterase (ChE) inhibition in plasma and red blood cells. Since January 2011, testing laboratories are required to report test results electronically to the California Department of Pesticide Regulation who shares it with the Office of Environmental Health Hazard Assessment for evaluation. The purpose of this study is to assess the utility of this reporting in evaluating the effectiveness of the Program for illness surveillance and prevention. From 2011 to 2013, we received more than 90 000 test results. Despite data gaps and data quality issues, we were able to perform spatial and temporal analyses and developed a screening tool to identify individuals potentially at risk of overexposure. The data analysis provided some evidence that the Program is effective in protecting agricultural workers handling the most toxic ChE-inhibiting pesticides even though it also identified some areas of potential concerns with individuals that appeared lacking corrective actions in the workplace in response to excessive ChE depressions and parts of the state with disproportionately at-risk individuals. However, changes to the electronic reporting are needed to more accurately identify tests related to the Program and therefore improve the utility of the data received. Moreover, data analysis also revealed that electronic reporting has its limitation in evaluating the Program.
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Буряченко, Анна Григорьевна. "МЕТРОЛОГИЧЕСКОЕ ОБЕСПЕЧЕНИЕ КАЛИБРОВКИ КАНАЛОВ КОНТРОЛЯ ВИБРАЦИИ В СОСТАВЕ РЕГУЛЯТОРА АВИАДВИГАТЕЛЯ." Aerospace technic and technology, no. 7 (August 31, 2019): 151–56. http://dx.doi.org/10.32620/aktt.2019.7.22.
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There are shown the normative documentation requirements concerning complete and element wise calibration of the information-measuring systems measuring channels. It is about requirements, which are applicable for tests area of aviation turbo-engines and their componentry, including the electronic regulators FADEC-type. There are given short information concerning the experience of JSC "Element" – certificated developer and manufacturer of such regulators – on providing of calibration (testing) of measuring channels with the use of imitators of electric signals of engine transducers. There is given the information concerning the ranges of measuring of vibrating accelerations and vibrating frequencies, which are required for providing of the engine vibrating monitoring and the information about the extreme high magnitudes of vibrating acceleration, which is interesting for the developer of the engine. There are covered the problems, which the developer of regulators deals with necessary to execute complete calibration of vibration measuring channels (jointly with a primary transducer), including the limitations laid on by the possibilities of accessible facilities of creation of vibration with the controlled magnitudes of vibration acceleration and vibration frequency in the required ranges of measuring. There are described the workplaces organized in JSC "Element" at the methodical help of SE "Ukrmetrteststandard" for providing of complete calibration of vibration measuring channels in laboratory terms at the enterprise-manufacturer, including the workplace with the resonator, which was specially developed and made. There are brought the results over of development, making and uses of the resonator, which provides controlled vibrations with the extreme level of vibration acceleration – 400 g and more at the predetermined level of vibration frequency.There is shown the expediency of element wise measuring channels calibration with the use of imitators of sensors signals for serial producing of regulators. There is explained the necessity to organize workplaces for the realization of complete calibration on enterprise-developer of FADEC regulators, which provide verification results got with imitators.
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Garcia-Martin, Roberto, Alfonso González-Briones, and Juan M. Corchado. "SmartFire: Intelligent Platform for Monitoring Fire Extinguishers and Their Building Environment." Sensors 19, no. 10 (May 25, 2019): 2390. http://dx.doi.org/10.3390/s19102390.
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Due to fire protection regulations, a minimum number of fire extinguishers must be available depending on the surface area of each building, industrial establishment or workplace. There is also a set of rules that establish where the fire extinguisher should be placed: always close to the points that are most likely to be affected by a fire and where they are visible and accessible for use. Fire extinguishers are pressure devices, which means that they require maintenance operations that ensure they will function properly in the case of a fire. The purpose of manual and periodic fire extinguisher checks is to verify that their labeling, installation and condition comply with the standards. Security seals, inscriptions, hose and other seals are thoroughly checked. The state of charge (weight and pressure) of the extinguisher, the bottle of propellant gas (if available), and the state of all mechanical parts (nozzle, valves, hose, etc.) are also checked. To ensure greater safety and reduce the economic costs associated with maintaining fire extinguishers, it is necessary to develop a system that allows monitoring of their status. One of the advantages of monitoring fire extinguishers is that it will be possible to understand what external factors affect them (for example, temperature or humidity) and how they do so. For this reason, this article presents a system of soft agents that monitors the state of the extinguishers, collects a history of the state of the extinguisher and environmental factors and sends notifications if any parameter is not within the range of normal values.The results rendered by the SmartFire prototype indicate that its accuracy in calculating pressure changes is equivalent to that of a specific data acquisition system (DAS). The comparative study of the two curves (SmartFire and DAS) shows that the average error between the two curves is negligible: 8% in low pressure measurements (up to 3 bar) and 0.3% in high pressure (above 3 bar).
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BEŇO, MICHAL, JOZEF HVORECKÝ, and JOZEF ŠIMÚTH. "E-PANOPTICON OF FACE-TO-DISPLAY WORKERS: FROM THE OFFICE TO THE HOME." AD ALTA: 11/01 11, no. 1 (June 30, 2021): 97–105. http://dx.doi.org/10.33543/110197105.
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Electronic Monitoring (EM) is becoming prevalent, enabling varied and pervasive monitoring of workplaces. The research design was a set of e-mail surveys. Quantitative data were analyzed using cross-tabulation of data, descriptive and chi-square tests statistics. The study provides an overview of e-worker monitoring in five countries. Twenty percent of respondents believe that their organization uses employee monitoring software to track their activities. Almost half of the e-workers believe that their activities are not being tracked by software. Nearby 1/10 of the face-to-display workers surveyed would trust their employer more using EM. Four-fifths of e-workers state that EM affects their productivity. Presented data emphasizes that companies using face-to-display workers monitoring software can negatively affect morale and productivity instead of producing better work. Further, employees are often unfamiliar with whether or not there is monitoring software tracking their activities. The study recommends that organizations should inform its employees before implementation of EM system to facilitate their positive attitudes
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Álvarez, José Luis, Juan Daniel Mozo, and Eladio Durán. "Analysis of Single Board Architectures Integrating Sensors Technologies." Sensors 21, no. 18 (September 21, 2021): 6303. http://dx.doi.org/10.3390/s21186303.
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Development boards, Single-Board Computers (SBCs) and Single-Board Microcontrollers (SBMs) integrating sensors and communication technologies have become a very popular and interesting solution in the last decade. They are of interest for their simplicity, versatility, adaptability, ease of use and prototyping, which allow them to serve as a starting point for projects and as reference for all kinds of designs. In this sense, there are innumerable applications integrating sensors and communication technologies where they are increasingly used, including robotics, domotics, testing and measurement, Do-It-Yourself (DIY) projects, Internet of Things (IoT) devices in the home or workplace and science, technology, engineering, educational and also academic world for STEAM (Science, Technology, Engineering and Mathematics) skills. The interest in single-board architectures and their applications have caused that all electronics manufacturers currently develop low-cost single board platform solutions. In this paper we realized an analysis of the most important topics related with single-board architectures integrating sensors. We analyze the most popular platforms based on characteristics as: cost, processing capacity, integrated processing technology and open-source license, as well as power consumption (mA@V), reliability (%), programming flexibility, support availability and electronics utilities. For evaluation, an experimental framework has been designed and implemented with six sensors (temperature, humidity, CO2/TVOC, pressure, ambient light and CO) and different data storage and monitoring options: locally on a μSD (Micro Secure Digital), on a Cloud Server, on a Web Server or on a Mobile Application.
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Matijevich, Emily S., Peter Volgyesi, and Karl E. Zelik. "A Promising Wearable Solution for the Practical and Accurate Monitoring of Low Back Loading in Manual Material Handling." Sensors 21, no. 2 (January 6, 2021): 340. http://dx.doi.org/10.3390/s21020340.
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(1) Background: Low back disorders are a leading cause of missed work and physical disability in manual material handling due to repetitive lumbar loading and overexertion. Ergonomic assessments are often performed to understand and mitigate the risk of musculoskeletal overexertion injuries. Wearable sensor solutions for monitoring low back loading have the potential to improve the quality, quantity, and efficiency of ergonomic assessments and to expand opportunities for the personalized, continuous monitoring of overexertion injury risk. However, existing wearable solutions using a single inertial measurement unit (IMU) are limited in how accurately they can estimate back loading when objects of varying mass are handled, and alternative solutions in the scientific literature require so many distributed sensors that they are impractical for widespread workplace implementation. We therefore explored new ways to accurately monitor low back loading using a small number of wearable sensors. (2) Methods: We synchronously collected data from laboratory instrumentation and wearable sensors to analyze 10 individuals each performing about 400 different material handling tasks. We explored dozens of candidate solutions that used IMUs on various body locations and/or pressure insoles. (3) Results: We found that the two key sensors for accurately monitoring low back loading are a trunk IMU and pressure insoles. Using signals from these two sensors together with a Gradient Boosted Decision Tree algorithm has the potential to provide a practical (relatively few sensors), accurate (up to r2 = 0.89), and automated way (using wearables) to monitor time series lumbar moments across a broad range of material handling tasks. The trunk IMU could be replaced by thigh IMUs, or a pelvis IMU, without sacrificing much accuracy, but there was no practical substitute for the pressure insoles. The key to realizing accurate lumbar load estimates with this approach in the real world will be optimizing force estimates from pressure insoles. (4) Conclusions: Here, we present a promising wearable solution for the practical, automated, and accurate monitoring of low back loading during manual material handling.
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Spinsante, Susanna, Luca Gioacchini, and Lorenzo Scalise. "A field-measurements-based LoRa network planning tool." ACTA IMEKO 9, no. 4 (December 17, 2020): 21. http://dx.doi.org/10.21014/acta_imeko.v9i4.725.
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Long range (LoRa) transmission technology enables energy-constrained devices such as the tiny sensor systems used in internet-of-things applications that are distributed over wide areas while still being able to establish appropriate connectivity. This has resulted in the development of an exponentially increasing number of different solutions and services based on LoRa, be they dedicated to the long-term monitoring of distributed plants and infrastructures or to human-centred applications such as safety-oriented sensor systems for use in the workplace. In dense LoRa networks, predicting the number of supported nodes in relation to their position and the propagation environment is essential for ensuring reliable and stable communication and minimising costs. In this paper, after comparing different path loss models based on a field measurement campaign for LoRa received signal strength indicator values within a university campus, two main modifications of the LoRa simulator tool were implemented. These were aimed at improving the accuracy of the prediction of the number of sustainable nodes in relation to the target data extraction rate set. The simulations based on field measurements demonstrated that through an improved path loss evaluation and the use of three gateways, the number of nodes could be increased theoretically from around 100 to around 6,000.
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Manjarres, Jose, Pedro Narvaez, Kelly Gasser, Winston Percybrooks, and Mauricio Pardo. "Physical Workload Tracking Using Human Activity Recognition with Wearable Devices." Sensors 20, no. 1 (December 19, 2019): 39. http://dx.doi.org/10.3390/s20010039.
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In this work, authors address workload computation combining human activity recognition and heart rate measurements to establish a scalable framework for health at work and fitness-related applications. The proposed architecture consists of two wearable sensors: one for motion, and another for heart rate. The system employs machine learning algorithms to determine the activity performed by a user, and takes a concept from ergonomics, the Frimat’s score, to compute the corresponding physical workload from measured heart rate values providing in addition a qualitative description of the workload. A random forest activity classifier is trained and validated with data from nine subjects, achieving an accuracy of 97.5%. Then, tests with 20 subjects show the reliability of the activity classifier, which keeps an accuracy up to 92% during real-time testing. Additionally, a single-subject twenty-day physical workload tracking case study evinces the system capabilities to detect body adaptation to a custom exercise routine. The proposed system enables remote and multi-user workload monitoring, which facilitates the job for experts in ergonomics and workplace health.
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Márquez-Sánchez, Sergio, Israel Campero-Jurado, Daniel Robles-Camarillo, Sara Rodríguez, and Juan M. Corchado-Rodríguez. "BeSafe B2.0 Smart Multisensory Platform for Safety in Workplaces." Sensors 21, no. 10 (May 12, 2021): 3372. http://dx.doi.org/10.3390/s21103372.
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Wearable technologies are becoming a profitable means of monitoring a person’s health state, such as heart rate and physical activity. The use of the smartwatch is becoming consolidated, not only as a novelty but also as a very useful tool for daily use. In addition, other devices, such as helmets or belts, are beneficial for monitoring workers and the early detection of any anomaly. They can provide valuable information, especially in work environments, where they help reduce the rate of accidents and occupational diseases, which makes them powerful Personal Protective Equipment (PPE). The constant monitoring of the worker’s health can be done in real-time, through temperature, falls, noise, impacts, or heart rate meters, activating an audible and vibrating alarm when an anomaly is detected. The gathered information is transmitted to a server in charge of collecting and processing it. In the first place, this paper provides an exhaustive review of the state of the art on works related to electronics for human activity behavior. After that, a smart multisensory bracelet, combined with other devices, developed a control platform that can improve operators’ security in the working environment. Artificial Intelligence and the Internet of Things (AIoT) bring together the information to improve safety on construction sites, power stations, power lines, etc. Real-time and historic data is used to monitor operators’ health and a hybrid system between Gaussian Mixture Model and Human Activity Classification. That is, our contribution is also founded on the use of two machine learning models, one based on unsupervised learning and the other one supervised. Where the GMM gave us a performance of 80%, 85%, 70%, and 80% for the 4 classes classified in real time, the LSTM obtained a result under the confusion matrix of 0.769, 0.892, and 0.921 for the carrying-displacing, falls, and walking-standing activities, respectively. This information was sent in real time through the platform that has been used to analyze and process the data in an alarm system.
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Pokorny, Jiri, Khanh Ma, Salwa Saafi, Jakub Frolka, Jose Villa, Mikhail Gerasimenko, Yevgeni Koucheryavy, and Jiri Hosek. "Prototype Design and Experimental Evaluation of Autonomous Collaborative Communication System for Emerging Maritime Use Cases." Sensors 21, no. 11 (June 3, 2021): 3871. http://dx.doi.org/10.3390/s21113871.
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Automated systems have been seamlessly integrated into several industries as part of their industrial automation processes. Employing automated systems, such as autonomous vehicles, allows industries to increase productivity, benefit from a wide range of technologies and capabilities, and improve workplace safety. So far, most of the existing systems consider utilizing one type of autonomous vehicle. In this work, we propose a collaboration of different types of unmanned vehicles in maritime offshore scenarios. Providing high capacity, extended coverage, and better quality of services, autonomous collaborative systems can enable emerging maritime use cases, such as remote monitoring and navigation assistance. Motivated by these potential benefits, we propose the deployment of an Unmanned Surface Vehicle (USV) and an Unmanned Aerial Vehicle (UAV) in an autonomous collaborative communication system. Specifically, we design high-speed, directional communication links between a terrestrial control station and the two unmanned vehicles. Using measurement and simulation results, we evaluate the performance of the designed links in different communication scenarios and we show the benefits of employing multiple autonomous vehicles in the proposed communication system.
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Wasisto, H. S., S. Merzsch, E. Uhde, A. Waag, and E. Peiner. "Partially integrated cantilever-based airborne nanoparticle detector for continuous carbon aerosol mass concentration monitoring." Journal of Sensors and Sensor Systems 4, no. 1 (March 11, 2015): 111–23. http://dx.doi.org/10.5194/jsss-4-111-2015.
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Abstract. The performance of a low-cost partially integrated cantilever-based airborne nanoparticle (NP) detector (CANTOR-1) is evaluated in terms of its real-time measurement and robustness. The device is used for direct reading of exposure to airborne carbon engineered nanoparticles (ENPs) in indoor workplaces. As the main components, a miniaturized electrostatic aerosol sampler and a piezoresistive resonant silicon cantilever mass sensor are employed to collect the ENPs from the air stream to the cantilever surfaces and to measure their mass concentration, respectively. Moreover, to realize a real-time measurement, a frequency tracking system based on a phase-locked loop (PLL) is built and integrated into the device. Long-term ENP exposure and a wet ultrasonic cleaning method are demonstrated to estimate the limitation and extend the operating lifetime of the developed device, respectively. By means of the device calibrations performed with a standard ENP monitoring instrument of a fast mobility particle sizer (FMPS, TSI 3091), a measurement precision of ENP mass concentrations of < 55% and a limit of detection (LOD) of < 25 μg m−3 are obtained.
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Vaismoradi, Mojtaba, Flores Vizcaya-Moreno, Sue Jordan, Ingjerd Gåre Kymre, and Mari Kangasniemi. "Disclosing and Reporting Practice Errors by Nurses in Residential Long-Term Care Settings: A Systematic Review." Sustainability 12, no. 7 (March 26, 2020): 2630. http://dx.doi.org/10.3390/su12072630.
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Patient safety is crucial for the sustainability of the healthcare system. However, this may be jeopardized by the high prevalence of practice errors, particularly in residential long-term care. Development of improvement initiatives depends on full reporting and disclosure of practice errors. This systematic review aimed to understand factors that influence disclosing and reporting practice errors by nurses in residential long-term care settings. A systematic review using an integrative design was conducted. Electronic databases including PubMed (including Medline), Scopus, CINAHL, Embase, and Nordic and Spanish databases were searched using keywords relating to reporting and disclosing practice errors by nurses in residential long-term care facilities to retrieve articles published between 2010 and 2019. The search identified five articles, including a survey, a prospective cohort, one mixed-methods and two qualitative studies. The review findings were presented under the categories of the theoretical domains of Vincent’s framework for analyzing risk and safety in clinical practice: ‘patient’, ‘healthcare provider’, ‘task’, ‘work environment’, and ‘organisation & management’. The review findings highlighted the roles of older people and their families, nurses’ individual responsibilities, knowledge and collaboration, workplace atmosphere, and support by nurse leaders for reporting and disclosing practice errors, which had implications for improving the quality of healthcare services in residential long-term care settings.
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Lu, S. F. D., and J. L. Lu. "Perceived job stress of women workers in diverse manufacturing industries." European Psychiatry 26, S2 (March 2011): 1670. http://dx.doi.org/10.1016/s0924-9338(11)73374-0.
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ObjectiveThis was An investigation of the impact of organizational factors on perceived job stress among women workers in the IT-dominated garment and electronics industries in the Philippines was undertaken.AimTo target risk factors affecting women workers.MethodsThe sample included 23 establishments with 630 women respondents. Questionnaires, walk-through surveys of the industries, and interviews were done. The workplace factors included the content of the job, the nature of tasks, job autonomy, hazard exposure, and management and supervisory styles.ResultsChi-square analysis showed that there were interactions among the organizational factors (P = 0.05 and 0.10). These factors included the need for better quality and new products; tasks requiring intense concentration; exposure to radiation, chemical, noise, and vapor hazards; standing for prolonged periods of time; and highly monitored, repetitious work. Workers experienced job stress (P = .05) when they were subjected to low job autonomy, poor work quality, close monitoring, and hazardous work pressure.ConclusionThis study has shown that there exists an intricate relationship between work hazards, organizational factors, gender, health and technology. Organizational factors that have been identified to contribute to adverse health effects among women workers were the physical work environment, nature of the task, lack of job autonomy, and difficult relationships with supervisors and management.
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Laskaris, Zoey, Chad Milando, Stuart Batterman, Bhramar Mukherjee, Niladri Basu, Marie S. O’neill, Thomas G. Robins, and Julius N. Fobil. "Derivation of Time-Activity Data Using Wearable Cameras and Measures of Personal Inhalation Exposure among Workers at an Informal Electronic-Waste Recovery Site in Ghana." Annals of Work Exposures and Health 63, no. 8 (July 23, 2019): 829–41. http://dx.doi.org/10.1093/annweh/wxz056.
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Abstract Objectives Approximately 2 billion workers globally are employed in informal settings, which are characterized by substantial risk from hazardous exposures and varying job tasks and schedules. Existing methods for identifying occupational hazards must be adapted for unregulated and challenging work environments. We designed and applied a method for objectively deriving time-activity patterns from wearable camera data and matched images with continuous measurements of personal inhalation exposure to size-specific particulate matter (PM) among workers at an informal electronic-waste (e-waste) recovery site. Methods One hundred and forty-two workers at the Agbogbloshie e-waste site in Accra, Ghana, wore sampling backpacks equipped with wearable cameras and real-time particle monitors during a total of 171 shifts. Self-reported recall of time-activity (30-min resolution) was collected during the end of shift interviews. Images (N = 35,588) and simultaneously measured PM2.5 were collected each minute and processed to identify activities established through worker interviews, observation, and existing literature. Descriptive statistics were generated for activity types, frequencies, and associated PM2.5 exposures. A kappa statistic measured agreement between self-reported and image-based time-activity data. Results Based on image-based time-activity patterns, workers primarily dismantled, sorted/loaded, burned, and transported e-waste materials for metal recovery with high variability in activity duration. Image-based and self-reported time-activity data had poor agreement (kappa = 0.17). Most measured exposures (90%) exceeded the World Health Organization (WHO) 24-h ambient PM2.5 target of 25 µg m−3. The average on-site PM2.5 was 81 µg m−3 (SD: 94). PM2.5 levels were highest during burning, sorting/loading and dismantling (203, 89, 83 µg m−3, respectively). PM2.5 exposure during long periods of non-work-related activities also exceeded the WHO standard in 88% of measured data. Conclusions In complex, informal work environments, wearable cameras can improve occupational exposure assessments and, in conjunction with monitoring equipment, identify activities associated with high exposures to workplace hazards by providing high-resolution time-activity data.
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Yoon, Inug, Gayoung Eom, Sungwoo Lee, Bo Kyeong Kim, Sang Kyung Kim, and Hyunjoo J. Lee. "A Capacitive Micromachined Ultrasonic Transducer-Based Resonant Sensor Array for Portable Volatile Organic Compound Detection with Wireless Systems." Sensors 19, no. 6 (March 21, 2019): 1401. http://dx.doi.org/10.3390/s19061401.
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The development of portable volatile organic compound (VOC) sensors is essential for home healthcare and workplace safety because VOCs are environmental pollutants that may critically affect human health. Here, we report a compact and portable sensor platform based on a capacitive micromachined ultrasonic transducer (CMUT) array offering multiplex detection of various VOCs (toluene, acetone, ethanol, and methanol) using a single read-out system. Three CMUT resonant devices were functionalized with three different layers: (1) phenyl-selective peptide, (2) colloids of single-walled nanotubes and peptide, and (3) poly(styrene-co-allyl alcohol). As each device exhibited different sensitivities to the four VOCs, we performed principal component analysis to achieve selective detection of all four gases. For the simultaneous detection of VOCs using CMUT sensors, the changes in the resonant frequencies of three devices were monitored in real time, but using only a single oscillator through an electrically controlled relay to achieve compactness. In addition, by devising a wireless system, measurement results were transmitted to a smartphone to monitor the concentration of VOCs. We used multiple sensors to obtain a larger number of fingerprints for pattern recognition to enhance selectivity but interfaced these sensors with a single read-out circuit to minimize the footprint of the overall system. The compact CMUT-based sensor array based on a multiplex detection scheme is a promising sensor platform for portable VOC monitoring.
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Jandl, Christian, Markus Wagner, Thomas Moser, and Sebastian Schlund. "Reasons and Strategies for Privacy Features in Tracking and Tracing Systems—A Systematic Literature Review." Sensors 21, no. 13 (June 30, 2021): 4501. http://dx.doi.org/10.3390/s21134501.
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In the course of the digitization of production facilities, tracking and tracing of assets in the supply chain is becoming increasingly relevant for the manufacturing industry. The collection and use of real-time position data of logistics, tools and load carriers are already standard procedure in entire branches of the industry today. In addition to asset tracking, the technologies used also offer new possibilities for collecting and evaluating position and biometric data of employees. Thus, these technologies can be used for monitoring performance or for tracking worker behaviour, which can lead to additional burdens and stress for employees. In this context, the collection and evaluation of employee data can influence the workplace of the affected employee in the company to his or her disadvantage. The approach of Privacy by Design can help to benefit from all the advantages of these systems, while ensuring that the impact on employee privacy is kept to a minimum. Currently, there is no survey available that reviews tracking and tracing systems supporting this important and emerging field. This work provides a systematic overview from the perspective of the impact on employee privacy. Additionally, this paper identifies and evaluates the techniques used with regard to employee privacy in industrial tracking and tracing systems. This helps to reveal new privacy preserving techniques that are currently underrepresented, therefore enabling new research opportunities in the industrial community.