Citizens of South Africa expect that the policy and regulatory changes introduced by government will be translated into tangible service delivery. Elected representatives, in particular, must demonstrate that national, provincial and local government are capable of managing public resources in a way that deliver benefits to its citizens. The ex- President Thabo Mbeki often used to speak about performance-driven public sector and has referred to the critical role that local government will play in this process. Municipalities which are at the coal-face of service delivery are being challenged to demonstrate their ability to execute both basic as well as enabling services crucial for social and economic growth and development. This challenge finds expression in the requirement that municipalities are expected to report on their performance, from both a civic and policy perspective. The present government is taking performance of government officials and politicians seriously. The Government has created a new ministry in the Presidency called Performance Mortitoring and Evaluation that will assist in ensuring that government performs better. The President of South Africa Mr. Jacob Zuma said that performance management works only if there is a mechartism to hold the people responsible and accountable City of Johannesburg (COJ) therefore looks at the effectiveness of City Scorecard (CS) in terms of performance management at the City of Johannesburg for enhanced performance of employees. The improved performance of employees is imperative for effective service delivery to communities. There were numerous protests all over the country between January and August 2009 including COJ against poor service delivery by different municipalities. It is therefore essential to identify the impact of City Scorecard on performance management of municipal employees. There is a close relationship between performance management and service delivery. The needs and expectations of the community are considered in Integrated Development Plan that assists the top Management of COJ to develop strategic objectives for the City. The priorities are established by the Mayor, commonly known as Mayoral priorities. The needs, priorities and strategies are combined, monitored and measured through City Scorecard (CS). The community is a yard stick of City Scorecard. The satisfaction of the community is a means to ensure that municipal officials are performing and rendering effective and efficient services to communities. / Thesis (M. Development and Management)--North-West University, Vaal Triangle Campus, 2010.

Citizens of South Africa expect that the policy and regulatory changes introduced by government will be translated into tangible service delivery. Elected representatives, in particular, must demonstrate that national, provincial and local government are capable of managing public resources in a way that deliver benefits to its citizens. The ex- President Thabo Mbeki often used to speak about performance-driven public sector and has referred to the critical role that local government will play in this process. Municipalities which are at the coal-face of service delivery are being challenged to demonstrate their ability to execute both basic as well as enabling services crucial for social and economic growth and development. This challenge finds expression in the requirement that municipalities are expected to report on their performance, from both a civic and policy perspective. The present government is taking performance of government officials and politicians seriously. The Government has created a new ministry in the Presidency called Performance Mortitoring and Evaluation that will assist in ensuring that government performs better. The President of South Africa Mr. Jacob Zuma said that performance management works only if there is a mechartism to hold the people responsible and accountable City of Johannesburg (COJ) therefore looks at the effectiveness of City Scorecard (CS) in terms of performance management at the City of Johannesburg for enhanced performance of employees. The improved performance of employees is imperative for effective service delivery to communities. There were numerous protests all over the country between January and August 2009 including COJ against poor service delivery by different municipalities. It is therefore essential to identify the impact of City Scorecard on performance management of municipal employees. There is a close relationship between performance management and service delivery. The needs and expectations of the community are considered in Integrated Development Plan that assists the top Management of COJ to develop strategic objectives for the City. The priorities are established by the Mayor, commonly known as Mayoral priorities. The needs, priorities and strategies are combined, monitored and measured through City Scorecard (CS). The community is a yard stick of City Scorecard. The satisfaction of the community is a means to ensure that municipal officials are performing and rendering effective and efficient services to communities. / Thesis (M. Development and Management)--North-West University, Vaal Triangle Campus, 2010.

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.

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.

Moderate-to-severe traumatic brain injury (M/S TBI) can affect an individual's ability to perform daily tasks. For example, individuals with M/S TBI are more likely to commit errors on tasks such as making a meal or wrapping a present. The neural processes involved in such errors are poorly understood. Studies suggest that neurophysiologic markers of cognitive control and error processing may be helpful in gaining additional insight into errors on naturalistic action tasks. Unfortunately, previous experimental methods left a methodological gap which limited the use of neurophysiological markers in the study of naturalistic action. Several recent studies in healthy adults have suggested one method of bridging the gap by having individuals observe another person's errors. The current study was the first study to employ the method in a TBI population as a possible means of gaining additional insight into the detrimental effects of M/S TBI on the performance of naturalistic actions. In order to gain additional insight into the effects of M/S TBI on the completion of naturalistic tasks I used two neurophysiologic markers of cognitive control and error processing. They were the observer error related negativity (oERN) and the P300 components of the scalp-recorded event-related potential (ERP). I hypothesized that individuals with M/S TBI would demonstrate error-specific changes in the two oERN and P300 that would correlate with self-reported difficulties in daily functioning. The study consisted of two experiments. One compared 15 individuals with M/S TBI to 17 demographically similar healthy controls on an error related naturalistic action based picture task. The second compared an overlapping sample of 16 individuals with M/S TBI to 16 demographically similar controls as they watched a confederate complete the Erikson flanker task, a commonly used task in the study of electrophysiological markers. Accuracy (error vs. correct) and group (M/S TBI vs. control) effects were analyzed using 2 x 2 repeated measures ANOVAs on ERP amplitude and latency. Pearson product-moment correlations were calculated to evaluate the relationship between the P300 and oERN and measures of self-reported executive functioning (Frontal Systems Behavior Scale, FrSBe) and neuropsychological measures. Findings supported a difference between the control and M/S TBI groups in how errors were processed during the naturalistic actions based picture task. There was an interaction between group membership and response accuracy (error vs. correct) on P300 amplitude and P300 latency. Controls demonstrated reduced P300 amplitude and latency on error trials compared to correct trials. Individuals with M/S TBI did not demonstrate a significant difference between correct trials and error trials on P300 amplitude and latency. The amplitude and latency of the P300 were correlated with self-reported functional difficulties in individuals with M/S TBI but not control participants. A Fisher's r -- z analysis indicated that correlations differed significantly between groups; however, an outlier was identified in the correlational data. Removal of the outlier data led to non-significant results in the Fisher's r -- z analysis. Taken together, results of the picture task supplied evidence that for individuals with M/S TBI differences in neurophysiologic markers between groups could be explained by reduced adaptation to complexity or by possible deficits in a secondary error processing pathway for complex errors. Future research could focus on better defining the functional relationship between P300 amplitude and latency and increased errors in naturalistic actions following M/S TBI. Observation of the flanker task did not elicit oERN waveforms from either healthy controls or from individuals with M/S TBI. The results could be due to problems with the current task, but also raised some concerns about previous studies using the flanker task which employed a slightly different methodology requiring participants to count errors. The current study did not require participant to count errors. As a whole, the study supplied partial support for using electrophysiological markers of error processing to gain additional understanding increased errors in the performance of naturalistic actions following M/S TBI.

No description available.

This study presents two computer vision based algorithms for automated 2D detection of construction workers and equipment from site video streams. The state-of-the-art research proposes semi-automated detection methods for tracking of construction workers and equipment. Considering the number of active equipment and workers on jobsites and their frequency of appearance in a camera's field of view, application of semi-automated techniques can be time-consuming. To address this limitation, two new algorithms based on Histograms of Oriented Gradients and Colors (HOG+C), 1) HOG+C sliding detection window technique, and 2) HOG+C deformable part-based model are proposed and their performance are compared to the state-of-the-art algorithm in computer vision community. Furthermore, a new comprehensive benchmark dataset containing over 8,000 annotated video frames including equipment and workers from different construction projects is introduced. This dataset contains a large range of pose, scale, background, illumination, and occlusion variation. The preliminary results with average performance accuracies of 100%, 92.02%, and 89.69% for workers, excavators, and dump trucks respectively, indicate the applicability of the proposed methods for automated activity analysis of workers and equipment from single video cameras. Unlike other state-of-the-art algorithms in automated resource tracking, these methods particularly detects idle resources and does not need manual or semi-automated initialization of the resource locations in 2D video frames. / Master of Science

Objectives: To determine if force differences exist between isometric pulling positions corresponding to key positions of the deadlift. Design: Cross-sectional evaluation of isometric strength Methods: 14 powerlifters performed isometric pulls on a force plate at 3 key positions related to the deadlift (at the floor, just above the patella, and 5-6 cm short of lockout) and in the mid thigh pull position (MTP). A 1x4 repeated measures ANOVA was used to ascertain differences between the various pulling positions tested. Bonferroni-adjusted paired samples t-tests were used post-hoc. Results: Forces generated at each bar height were significantly different (F(3,39) = 51.058, p2=0.80). Paired samples t-tests showed significant differences between positions, revealing a trend of greater force generation at increasing heights for positions corresponding to the deadlift. Force generated in the mid thigh pull position was significantly higher than any other position. Conclusion: In positions corresponding to the deadlift, force generation increases at higher bar heights.

Thesis (Ph.D. (Industrial Psychology) )--North-West University, Potchefstroom Campus, 2007.

We propose a mathematical framework that integrates low-level sensory signals from monitoring engineering systems and their components with high-level decision models for maintenance optimization. Our objective is to derive optimal adaptive maintenance strategies that capitalize on condition monitoring information to update maintenance actions based upon the current state of health of the system. We refer to this sensor-based decision methodology as "sense-and-respond logistics". As a first step, we develop and extend degradation models to compute and periodically update the remaining life distribution of fielded components using in situ degradation signals. Next, we integrate these sensory updated remaining life distributions with maintenance decision models to; (1) determine, in real-time, the optimal time to replace a component such that the lost opportunity costs due to early replacements are minimized and system utilization is increased, and (2) sequentially determine the optimal time to order a spare part such that inventory holding costs are minimized while preventing stock outs. Lastly, we integrate the proposed degradation model with Markov process models to derive structured replacement and spare parts ordering policies. In particular, we show that the optimal maintenance policy for our problem setting is a monotonically non-decreasing control limit type policy. We validate our methodology using real-world data from monitoring a piece of rotating machinery using vibration accelerometers. We also demonstrate that the proposed sense-and-respond decision methodology results in better decisions and reduced costs compared to other traditional approaches.