Miracle-dz/UniFAR-FTUs huggingface dataset:
Autonomous Path Following Using Convolutional Networks

Autonomous vehicles have many application possibilities within many different fields like rescue missions, exploring foreign environments or unmanned vehicles etc. For such system to navigate in a safe manner, high requirements of reliability and security must be fulfilled. This master's thesis explores the possibility to use the machine learning algorithm convolutional network on a robotic platform for autonomous path following. The only input to predict the steering signal is a monochromatic image taken by a camera mounted on the robotic car pointing in the steering direction. The convolutional network will learn from demonstrations in a supervised manner. In this thesis three different preprocessing options are evaluated. The evaluation is based on the quadratic error and the number of correctly predicted classes. The results show that the convolutional network has no problem of learning a correct behaviour and scores good result when evaluated on similar data that it has been trained on. The results also show that the preprocessing options are not enough to ensure that the system is environment dependent.
Serum Iron and Iron Binding Capacity in the Arabian Camel (Camelus dromedarius)

Abstract Hussein, M.F. , Al-Mufarrej, S.I. , Mogawer, H.H. , Gar El Nabi, A.R. and Sanad, H.H. 1997. Serum iron, and iron binding capacity in the Arabian camel (Camelus dromedarius). J. Appl. Anim. Res., 11: 201–205. Serum iron concentration and iron binding capacity were determined in 47 healthy adult camels and 20 camel calves of either sex. The total iron binding capacity was similar in male and female camels; however, a significant sex effect was observed in serum iron, unbound iron binding capacity and saturation concentration percentage. Age effect was significant for total and unbound iron binding capacities and the highest values were recorded in adult male camels.
Effect of tail surfaces on the base drag of a body of revolution at Mach numbers of 1.5 and 2.0

Wind-tunnel tests were performed at Mach numbers of 1.5 and 2.0 to investigate the influence of tail surfaces on the base drag of a body of revolution without boattailing and having a turbulent boundary layer. The tail surfaces were of rectangular plan form of aspect ratio 2.33 and has symmetrical, circular-arc airfoil section. The results of the investigation showed that the addition of these tail surfaces with the trailing edges at or near the body base incurred a large increase in the base-drag coefficient. For a cruciform tail having a 10-percent-thick airfoil section, this increase was about 70 percent at a Mach number of 1.5 and 35 percent at a Mach number of 2.0. As the trailing edge of the tail was moved forward or rearward of the base by about one tail-chord length, the base-drag increment was reduced to nearly zero. The increments in base-drag coefficient due to the presence of 10-percent-thick tail surfaces were generally twice those for 5-percent-thick surfaces. The base-drag increments due to the presence of a cruciform tail were less than twice those for a plane tail. An estimate of the change in base pressure due to the tail surfaces was made, based on a simple superposition of the airfoil-pressure field onto the base-pressure field behind the body. A comparison of the results with the experimental values indicated that in most cases the trend in the variation of the base-drag increment with changes in tail position could be predicted by this approximate method but that the quantitative agreement at most tail locations was poor.
Access-To-Egress III: Repeated Measurement of Factors that Control the Emergency Evacuation of Passengers Through the Transport Airplane Type-III Overwing Exit

Simulated emergency evacuations were conducted from a narrow-body transport airplane simulator through a Type-III overwing exit. The independent variables were passageway configuration, hatch disposal location, subject group size (density), and subject motivation level. Additional variables of interest included individual subject characteristics, i.e., gender, age, waist size, and height, shown in previous studies to significantly affect emergency egress. Subjects were restricted to those who had no previous emergency evacuation (research) history. Evacuation trials were conducted with 48 groups of either 30, 50, or 70 subjects per group, totaling 2,544 subject participants. Each subject group completed 4 evacuation trials, totaling 192 group evacuations, which included 10,176 individual subject exit crossings. The dependent variable of interest was individual subject egress time. Small but significant independent variable main effects on mean individual egress times were found for passageway configuration (p<.001), subject group motivation (p<.05); significance of these effects was potentiated by the extremely large number of subject observations. The effects of subject waist size (p<.0001), gender (p<.0001), and age (p<.0001) on mean individual egress times were much more robust. The within-subjects main effect of evacuation trial (experience) failed to achieve significance (p<.63), although within-subjects effects were found for group motivation level (p<.0004), the combination of group motivation level and hatch disposal location (p=.03), and the combination of passageway configuration and hatch disposal location (p<.007), via their interactions with individual egress trial. The findings replicate prior research showing that the physical attributes of subjects produce large differences in emergency evacuation performance, whereas airplane configuration has minimal effects on emergency egress, as long as ergonomic minimums are respected. Where such problems do exist, evacuation experience acts to mitigate such negative effects, as does proper passenger management by flight attendants.
Power management of enterprise storage systems

Data-centric services, such as transaction processing systems and search-engines, sustain the demands of millions of users each day. These services rely heavily on the I/O subsystem for their data storage and processing requirements. Technological improvements in hard disk drive densities and data-rates have been key enablers in the realization of these storage systems. However, server storage systems consume a large amount of power, leading to higher running costs, increased stresses on the power supply, higher failure rates and detrimental environmental impacts. This thesis makes four contributions towards understanding the nature of the power problem and developing effective solutions to combat its effects. First, it shows that power management is a challenging problem for enterprise storage systems and traditional techniques to reduce power are relatively ineffective in such systems. Second, it shows that the heat that is dissipated due to the high power consumption would significantly restrict the ability to sustain the pace of performance growth of disks in the near future. Third, it proposes a novel disk drive architecture called DRPM that can provide significant savings in energy with very little loss in delivered performance. It also shows how such savings can be attained in practice via a control-policy and considers engineering issues in building such a device. Finally, the thesis shows how DRPM can be leveraged to provide a spectrum of dynamic thermal management policies which would pave the way for maintaining good performance growth in future disk drives.
A Comparison of Computed Versus Experimental Loading and Response of a Flat Plate Subjected to Mine Blast

Abstract : The DORF hydrocode is used to generate the loading history on a target plate subjected to the blast loading from a buried land mine. The REPSIL structural response code is used to compute the response of the target plate to this loading. The deflection of a clamped-edge, square, target plate of rolled loading. The deflection of a clamped-edge, square, target plate of rolled homogeneous armor, 25.4 cm on a side and 0.678 cm thick, centered above a buried 0.265 kg charge of C-4, is predicted. The computations performed here are numerical simulations of a field experiment performed and reported by the Southwest Research Institute (SwRI). The agreement with the SwRI empirical correlation functions, which include the data for this field experiment, is excellent: the DORF calculation for the total impulse delivered to the target is 4.5% above the value computed using the SwRI correlation function for impulse; the REPSIL calculation for the maximum residual deformation of the target plate is 10% above the value computed using the SwRI correlation function for maximum residual deformation. The remainder of the profile for the residual deformation of the target plate shows even better agreement with the SwRI correlation function.
Farm Size and the Diffusion of Green Revolution Technology

The introduction of high-yield-crop varieties (HYV) is one of the more significant technological changes taking place in less developed countries' agricultural sectors. This so-called Green Revolution technology consists of hybrid seeds, chemical inputs (fertilizers, pesticides), and special cultivation practices. The yield potential and the income-generating capacity of the modern variety are significantly superior to those of the traditional crops, when properly cultivated. Furthermore, the technology is divisible and neutral to scale. Thus, one may expect that adoption patterns will not be affected by farm size. But the facts are, as the record of diffusion experience in a substantial number of regions throughout the world shows, that adoption rates and the time pattern of adoption are related to farm size. One obvious reason for differential adoption rates in many regions is the credit constraint. Working capital requirements associated with the new technology are substantially higher (fertilizers, pesticides, and hybrid seeds are cash inputs). Thus, where credit for smaller farmers is severely limited, they may not be able to adopt HYV at the same rate as larger farmers. '
The Impact of Aligning IT Capability and Operations Strategy on Operational Performance

This paper examines the relationship among IT capability, operations strategy decisions and operational performance. Using primary data from a sample of European firms, the authors test a model of fit between two specific IT capability-building decisions and three competitive priorities, and they analyze the impact of IT capability alignment on several dimensions of process performance. After uncovering three stylized configurations, they note that firms tend to adopt internally coherent IT capability-building decisions but they find only mixed evidence of alignment between IT capability-building decisions and competitive priorities. Interestingly, however, failing to achieve alignment has negative performance consequences but only for firms that develop limited IT capability. Their results suggests that IT plays a central role in the fulfillment of a firm’s operations strategy, not only for firms that pursue differentiation and are interested in improving the effectiveness of their customer-oriented functions, but also for firms seeking efficiency improvements in back-office operations. Although it is, a priori, more expensive, the development of advanced IT capability can support cost leadership strategies more effectively than a frugal approach, as long as IT projects are used to generate operational knowledge and thus improve process efficiency. At the same time, their results cast further doubt on the value of frugal IT capability, even for firms that strive to reduce cost.
Study of Software reuse at Skattedirektoratet

This master thesis is a case study on software reuse within a subset of systems at the Norwegian Directorate of Taxes, Skattedirektoratet (SKD). The systems chosen for our research are the GLD systems; legacy systems which dates back to the late 1980's and early 1990's. Because of historical reasons, these systems are copied and created over and over again in an annual cycle. There are redundancies in code and data between the annual versions, but also across the different GLD systems. The consequence of this is systems with reduced maintainability and possible inconsistencies in code and data. Our objectives with this case study is to determine both the current level of software reuse within a subset of the GLD systems, and the emphasis on reuse in SKD's development process. After determining the status of as-is, we will continue with an investigation of the potential for software reuse within the context of SKD, and how they can achieve systematic software reuse. The contributions of this thesis can be divided into four main themes: * T1: Review of state-of-the-art literature on software reuse * T2: Investigation of reuse level within selected GLD systems * T3: Investigation of SKD's development process * T4: Investigation of opportunities for systematic reuse in SKD The main contributions are: * C1: Review of literature in the field of software reuse * C2: Measurement of the reuse maturity level within the selected GLD systems. * C3: Survey of the software development process and reuse aspects at SKD * C3.1: Results from SKD * C3.2: Results from SKD combined with results from previous surveys on software developers attitude toward software reuse by NTNU * C4: Process which assures reuse Keywords: Systematic software reuse, Reuse maturity, Software development, Software engineering
Key Predictors of Anemia in Under Five Children in Rural Setting of Bangladesh: A Cross Sectional Study

Introduction: Anemia is a substantial public health problem that happens worldwide with higher prevalence noted in children less than 5 years and rural children. The studywas aimed to explore the keypredictors of anemia of study population in rural setting of Bangladesh. Methodology & Materials: This cross-sectional study was conducted in the rural Bangladesh from 1 July 2018 to December 2019. Under-five children aged six months to below sixty months were enrolled in the study. Data were collected through face-to-face interview from attending primary caregiver and from the results of laboratory tests of blood sample from target children. Data were analyzed through SPSS 23 software. Initially univariate analysis was done to identify predictors of anaemia followed by multivariate analysis to explore the key predictors through logistic regression. Results: A total data of258 under-five children aged 6-59 month were included in this study from the rural areas of Bangladesh. Among the studied children overall prevalence of anaemia was found 61.8%. The significant predictors (p <0.05) of anaemia through univariate analysis are age, maternal education level, monthly family income, exclusive breast feeding, proper complementary feeding practice as well as regular consumption of animal protein, fruits and vegetables. In addition, children who were under-weight stunted and wasted. Through multivariate analysis the key factors were explored as age group 6-24 month (AOR=0.02; p=0.006), family income less than 10000 BDT group-i.e 5000BDT or below (AOR=0.27;p=0.01) and 5001- 10000 BDT (AOR=8.84; 0.02), early and late weaning practiced children (AOR=0.23;p=0.002), low consumption of animal protein (AOR=0.05; p=0.001), and vegetables (AOR=0.18; p<0.001), stunting (AOR=0.18;p<0.001), wasting (AOR=0.14; p=0.03) and children who have chronic or recent infection (AOR=0.33; p=0.008). Conclusion: The keypredictors of anaemia are explored in this study are age below 2 year, family income less than 10000 BDT (in 2018 AD) or below, early and late weaning practice, low consumption of animal protein and vegetables, chronic malnutrition, acute malnutrition and chronic or recent infection. Rising mass awareness among the caregiver group on child care, nutrition and special focus to the children below age of two years will be the key strategies to prevent and control this extensive public health problem in Bangladesh.
Dietary patterns of farmers and their relation with sociodemographic, labor, and lifestyle conditions: Brazilian rural population-based study

Background : The eating habits have changed in the last few decades, but few studies prioritize the food consumption of farmers and the rural population. Therefore, the objective of this study was to define the dietary patterns of farmers in a Brazilian municipality and evaluate their association with sociodemographic, occupational and lifestyle factors. Methods : This is a cross-sectional epidemiological study of 740 farmers (51.5%, n=381 males) from a municipality in Southeastern Brazil. Food intake data were obtained by applying three 24-hour recalls and dietary intake was presented in dietary patterns determined by Principal Component Analysis with varimax orthogonal rotation. Results : Three dietary patterns were identified. The first pattern, “local traditional”, was associated with sociodemographic and labor variables, being considered typical of the region's farmer. The permanence of a “traditional Brazilian” pattern and the occurrence of an “industrialized” pattern were also observed. Individuals aged 50 and over years were 82% less likely (OR 0.18, 95% CI 0.10–0.30) to adhere to “industrialized” pattern than those aged 30 and under. Still, individuals of socioeconomic class D or E were 52% less likely to adhere to this pattern (OR 0.48, 95% CI 0.24–0.96). Farmers who spent R$ 200 or more per capita to buy food were more than twice as likely to adhere to this food pattern (OR 2.22, 95% CI 1.32–3.73), and who had the habit of frequently eating out were 1.62 as likely adhere to “industrialized” pattern (95% CI 1.11–2.36). Conclusions : The findings indicate changes in dietary patterns in rural areas of the country, maintaining a traditional Brazilian pattern, as well as a local and an industrialized pattern. This last pattern demonstrates that the contemporary rural population also opts for a diet with ultra-processed products, being associated with the characteristic habits of a more urbanized rural region.
Balancing agility and discipline

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A STUDY ON WORK COMMITMENT AND SATISFACTION AMONG THE WORKERS OF GOTA INDUSTRY AJMER, RAJASTHAN

The study discusses the work satisfaction of workers of the Gota industry Ajmer. Ajmer is a central city of Rajasthan, India. It is fabulous for its unity in diversity in religion, race, caste and workmanship. It is a religious center for Muslims and Hindus. A number of tourists visit the palace and are impressed by city art and architecture. The city is famous for Gota patti work. More than 400 families work in the industry. As the demand for its products is increasing day by day; it developed the researcher's interest to measure the commitment and satisfaction of the workers in the area. Factors like commitment and job satisfaction are equally important for the employee and employer. The knowledge of these factors is important for the business. The data for the study was collected with the help of the District Industrial Center, Ajmer. A total of 100 respondents were selected through convenience sampling. They voluntarily participated in the survey. Well reputed scale from renowned journals was adopted for the study. The study is cross-sectional in nature. The researcher found a low level of commitment and satisfaction among the workers of the industry. The researcher found the need for training among the workers of the industry on various aspects.
From teacher to teacher-researcher: A narrative inquiry into a language teacher becoming an agent of motivational strategies

ABSTRACT This article reports on a case study of Miho, a Japanese high school teacher, exploring her efforts to bridge research and practice in her use of motivational strategies. Drawing on Emirbayer and Mische’s conceptualisation of agency and Connelly and Clandinin’s theorisation on teachers’ personal knowledge, the study examined how this language teacher-researcher developed her agency as she strove to integrate motivation strategy research into teaching practice. The narratives of Miho’s experience were gathered over three phases: (1) an enrolment phase; (2) a retrospective phase/the follow-up retrospective phase; and (3) an overview phase. The analysis of the collected data focused on Miho’s experience of becoming an agent of using motivational strategies. The findings suggest that the more experience she accumulated through trial-and-error use of motivational strategies in different educational contexts, the better she became at absorbing what she had learned from her research engagement, and the better she found herself able to make full use of strategies learnt in the classroom.
Statistical Temporal Analysis of Freight Train Derailment Rates in the United States

Safety is the top priority for every rail system in the world. A widely used measure for rail safety is the accident rate, which is the number of train accidents normalized by traffic exposure. Of interest in rail safety research is understanding the temporal trend of accident rates, the significant factors affecting the trend, and how to predict accident rates. This paper uses a negative binomial regression model to present a statistical analysis of U.S. Class I railroad freight train derailment rates on main tracks by year and accident cause for 2000 to 2012. The accident and traffic data used in the analysis come from FRA. The analysis led to several observations. There is a significant temporal decline in freight train derailment rate (-5.9% per year). The rate of change in accident rate varied by accident cause. Rates of freight train derailment caused by broken rails or welds and track geometry defects declined by 6% and 5% annually, respectively; the rate of derailment caused by bearing failure decreased by 11% annually; and rate of derailment caused by train handling errors fell by 7% annually. The regression model is used to project train derailment rates by accident causes and can be used to evaluate the safety benefit of potential accident prevention strategies. This research provides policy makers and practitioners with a statistical method for analyzing the temporal trend of train accident rate for development of rail safety policy and practice.
Prototypes and prototyping in design research

In contrast, our focus will be on the roles of prototypes as vehicles for research about, for and through design. We focus on prototyping within research processes that necessarily involve design activities, which we will refer to as constructive design research, i.e. “research that imagines and builds new things and describes and explains these constructions” (Koskinen et al. 2011: 6). Our aim is to present a rough typology of the various ways that designed things appear in design research methods. We do this in order to identify and differentiate the range of possibilities open to design researchers for whom design practice is an essential component of their modes of investigation.