During monitoring of rear-mounted equipment, frequent rearward turning of tractor drivers in awkward postures can cause musculoskeletal disorders related to the back, neck, and shoulders. A camera-based monitoring system, consisting of one or more cameras placed on the implement and a monitor placed inside the tractor cab, has potential ergonomic benefits compared with traditional implement monitoring strategies by reducing the rearward turning and twisting movements of tractor drivers. A camera-based monitoring system was compared with two traditional monitoring strategies (direct looking and using rear-view mirrors) in a lab environment using a Tractor Air-Seeder Driving Simulator. The operator’s reaction time and response errors, head/neck movement (acceleration), and neck muscle temperature were compared for the three monitoring strategies. The camera-based monitoring system yielded significantly (α=0.05) better outcomes in terms of acceleration and muscle temperature values. No significant difference was observed for response errors.

Unscheduled aircraft maintenance causes a lot problems and costs for aircraft operators. This is due to the fact that aircraft cause significant costs if flights have to be delayed or canceled and because spares are not always available at any place and sometimes have to be shipped across the world. Reducing the number of unscheduled maintenance is thus a great costs factor for aircraft operators. This thesis describes three methods for aircraft health monitoring and prediction; one method for system monitoring, one method for forecasting of time series and one method that combines the two other methods for one complete monitoring and prediction process. Together the three methods allow the forecasting of possible failures. The two base methods use decision trees for decision making in the processes and genetic optimization to improve the performance of the decision trees and to reduce the need for human interaction. Decision trees have the advantage that the generated code can be fast and easily processed, they can be altered by human experts without much work and they are readable by humans. The human readability and modification of the results is especially important to include special knowledge and to remove errors, which the automated code generation produced.

During monitoring of rear-mounted equipment, frequent rearward turning of tractor drivers in awkward postures can cause musculoskeletal disorders related to the back, neck, and shoulders. A camera-based monitoring system, consisting of one or more cameras placed on the implement and a monitor placed inside the tractor cab, has potential ergonomic benefits compared with traditional implement monitoring strategies by reducing the rearward turning and twisting movements of tractor drivers. A camera-based monitoring system was compared with two traditional monitoring strategies (direct looking and using rear-view mirrors) in a lab environment using a Tractor Air-Seeder Driving Simulator. The operator’s reaction time and response errors, head/neck movement (acceleration), and neck muscle temperature were compared for the three monitoring strategies. The camera-based monitoring system yielded significantly (α=0.05) better outcomes in terms of acceleration and muscle temperature values. No significant difference was observed for response errors.

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Applikationsövervakning är en term för att i realtid övervaka applikationer och kunna upptäcka fel innan slutanvändaren märker av ett problem. Med övervakning av applikationer menas inte bara den enskilda programvaran utan allt som rör applikationen i fråga. Trafikverkets önskemål är att leverera en hög kvalité i sina applikationer. I nuläget har utvecklare ingen eller dålig insyn i hur en applikation levererar i en skarp miljö efter att de lämnat över ansvaret till drift. För att kunna hålla en bra kvalité i sina applikationer så vill de undersöka hur applikationsövervakning kan hjälpa till att se behov av ändringar i applikationer innan större problem uppstår. I en fallstudie bestående av intervjuer och dokumentstudier kommer genom användning av situationsbaserad FA/SIMM nuvarande arbetssätt fångas. Samt fånga mål och problem som uttrycks i verksamheten kring utveckling & förvaltning och drift av applikationer. Dessa kommer sedan analyseras för att undersöka på vilket sätt applikationsövervakning skulle hjälpa utvecklare & förvaltare, men även driftspersonal i deras arbete. Resultatet av detta visar att de problem och mål som tas upp dels är organisatoriska i sin natur och arbetssättet DevOps framhålls som en möjlig lösning. Även att applikationsövervakning de facto skulle kunna bidra till en ökad kvalité i applikationerna genom att tillföra en möjlighet att arbeta mer proaktivt. / Application monitoring is a term for real-time monitoring of applications to be able to discover faults before they reach the end-user. Application monitoring does not only mean the individual software but also everything surrounding it, which can have an impact on the application. Trafikverket wishes to deliver high quality in their applications. At present the developers have no or little insight in how an application delivers in a live environment after they handed over the responsibility to the operations. In order to maintain a good quality of their applications they want to explore how application monitoring may help to see changes in the needs of applications before major problems occur. In a case study consisting of interviews and document studies and through situation based FA/SIMM present ways of working will be produced. It will also identify wishes/concerns expressed by the developers and operations departments in the managing of existent applications. These will then be analyzed to examine in which way application monitoring would help developers, but also operations, in their work. The result shows that the problems which are brought forward are in a sense organizational of nature and that DevOps is a possible way for solution. But also that application monitoring could contribute to the delivery of high quality in applications in a proactive manor.

The main objective of this master thesis is a comparative effectiveness analysis of selected social media monitoring tools. The theoretical part of the thesis first familiarizes the reader with the core terms, which will be used throughout the thesis. The next chapter focuses on the detailed specification of classic online marketing. It describes the growing trend of social media marketing and charts out its current status on the Czech online market. In addition, the vital SEO and SEM techniques are also described. The subsequent chapter is devoted to social network marketing, where the increasing power of "word of mouth" in purchase behavior, is explained. Last but not least, illustrative examples of the most successful social media marketing campaigns are listed. The next part deals with the issues of monitoring social media. The reasons for monitoring social media, its principles and features are stated in this chapter. The practical part of this thesis has a described methodology for testing selected tools, acceptance criteria and metrics of measurement. The selected tools are compared in terms of qualitative properties and the relevance of results, both from a global perspective with English phrases, as well as from the perspective of local phrases suitable for the Czech environment. In the second test a set of free monitoring tools is determined and compared with the tools from the first test. In the conclusion is the last measurement, which is proposes the most appropriate monitoring tool for small sized Czech company.

Gemeinsamer Workshop von Universitaetsrechenzentrum und Professur Rechnernetze und verteilte Systeme der Fakultaet fuer Informatik der TU Chemnitz. Service Monitoring ist eine Voraussetzung für zuverlässige Dienste. Ausgehend von einer Einführung in die Techniken des Real-Time Monitoring wird das System "Big Brother" und der Einsatz im Universitätsrechenzentrum der TUC vorgestellt. Abschliesend werden einige Aspekte der Benachrichtigung beim Auftreten kritischer Ereignisse und Zustände diskutiert. bei der Alarmierung

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Clinical trials involving digital health technologies are complex and challenging deployments. The SMArTVIEW trial (n=800), underway, combines remote automated patient monitoring (RAM) in hospital and virtual hospital-to-home nursing support, up to 30-days post-discharge, for patients who have undergone cardiac and major vascular surgery. Cardiac and vascular surgery patients are at risk for postoperative complications, as well as hospital readmission; SMArTVIEW aims to reduce hospital readmissions and emergency department visits. The purpose of this work was to conduct a process monitoring evaluation of the first 100 patients enrolled in order to examine the implementation, mechanisms, context, and specialized nursing role of the SMArTVIEW intervention. Six data sources were used to examine patient recruitment, daily nursing intervention workflows, RAM technology compliance, technical troubleshooting, patient education, and virtual nursing care. A content analysis was used to identify nursing advice, recommendations, and corrective actions for patients requiring intervention recovering at home. Fifty patients were allocated to the SMArTVIEW intervention; of these, 34 engaged in all intervention components, both in-hospital and at home. In-hospital RAM technology generated 194 notifications, drawing nurses to the beside for patient reassessment. Forty-two daily nurse reports and 926 virtual nursing care records were audited to determine technology implementation issues and nursing actions to support patient recovery at home. Process monitoring uncovered strengths and limitations in the initial days of intervention deployment. Strengths included the functionality of RAM technology, facilitating nurse compliance with required workflows, as well as a high degree of patient engagement in the program. SMArTVIEW nurses addressed multiple health concerns for patients, resulting in 1,865 nursing actions over the 30-day intervention course. Patient withdrawals and lack of standardized communication practices were areas requiring improvement. Results were used to refine and standardize intervention workflows in order to scale the intervention for deployment at a second site (United Kingdom). / Thesis / Master of Science (MSc)

Self-monitoring involves teaching students to be aware of their own behavior, and be able to record whether the behavior happened or not. The present study uses meta-analysis of single case design (SCD) studies to evaluate the effectiveness of self-monitoring interventions that use electronic devices during implementation for individuals with autism spectrum disorder (ASD). Eligible studies were accessed to determine design quality, and examine the use of self-monitoring for individuals diagnosed with ASD. Studies were evaluated against inclusion-exclusion criteria. The studies that met inclusion criteria (n = 15) were assessed with the What Works Clearinghouse (WWC) standards for methodological rigor. The WWC standards were applied to baseline and intervention phases. There were a total of 12 studies with 32 students diagnosed with ASD that met SCD standards without, and with reservations. The 12 studies were evaluated using the Tau-U effect size metric to quantify the percentage of change that was attributed to the self-monitoring intervention. Overall, omnibus Tau-U was 0.96 (95% confidence interval [CI] = [0.89, 1.0]). Limitations and directions for future research are discussed.