Miracle-dz/UniFAR-FTUs huggingface dataset:
Surveillance and Reconnaissance Imaging Systems: Modeling and Performance Prediction

Introduction - Modeling Applications. Conceptual S&R Model. Performance Prediction Approaches. Surveillance and Reconnaissance Systems - Introduction. Imaging with IR and EO Sensors. Image Formation. Imaging System parameters. Synthetic Aperture Radar. Choice of Imaging Sensors. Examples of Surveillance and Reconnaissance Sensors. Historical Review of S&R Modeling - Pre-1950. 1950-1970. 1970-Present. Linear Shift Invariant Imaging Systems - Linearity and Shift Invariance. The Impulse Function. The Fourier Series and Fourier Transform. LSI Imaging System. Imaging in the Space and Frequency Domain. Imaging With Components. Simplifying LSI Imager Analysis to One Dimension. Sampled Imaging Systems. SAR Impulse Response and Transfer Function. Information Extraction Measures - Direct Performance Measures. Theory of Signal Detection. Range/Time Measures. Performance Estimate Measures. Information and Difference Metrics. Information Extraction Performance Predictors - Scale, Resolution, and Sharpness. Contrast and Noise. Artifacts. Summary Measures. Target and Environmental Considerations - Target Effects. Deception and Denial. Atmospheric Effects. Image Processing Considerations - Bandwidth Compression. Enhancement Processing. Display and Observer Considerations - Displays. Observer Characteristics. Observer Models. Performance Prediction Models - Parameter-based Models. Image-Based Models. Sensor Performance Conversions - Johnson Criteria and NIIRS. Conversion with Models. Comparing Sensor Performance Conversions. Performance Conversion as a Function of Target Size. Conclusions and Future Directions - Spectral Domain. Temporal Effects. Search. SAR.
A NEW BREATH ALCOHOL METER

This meter employs the thermocatalytic sensing method stipulated in Japanese industrial standards (jis M 7626). The drinking experiment was performed to prove the efficiency of the new alcohol meter model am-481. Ethanol concentrations in breath were determined by gas chromatography and alcohol meter and both readings were compared. By a study of breath ethanol concentrations, the following conclusions were drawn as for the alcohol meter. The alcohol meter has practical merits to determine breath ethanol. It is small, usable anywhere, fairly accurate, and can record the breath ethanol concentration determined and preserve the record. On principle, tobacco, thinner and breath of a diabetic may affect the determination by alcohol meter, but in reality such effects can be excluded by making the subject rinse his throat. As the determination values by alcohol meter and gas chromatography were compared, with the reading of the alcohol meter as y and that of the gas chromatograph as x, the following equation y = 0.942X + 0.001 (gamma = 0.996, p << 0.001) was obtained. It is concluded that the alcohol meter is practically and functionally excellent. (TRRL)
Analysis and Outcome Prediction of Crowdfunding Campaigns

Humongous volumes of data are being generated every minute by individual users as well as organizations. This data can be turned into a valuable asset only if it is analyzed, interpreted and used for improving processes or for benefiting users. One such source that is contributing huge data every year is a large number of web-based crowd-funding projects. These projects and related campaigns help ventures to raise money by acquiring small amounts of funding from different small organizations and people. The funds raised for crowdfunded projects and hence, their success depends on multiple elements of the project. The current work predicts the success of a new venture by analysis and visualization of the existing data and determining the parameters on which success of a project depends. The prediction of a project’s outcome is performed by application of machine learning algorithms on crowd-funding data stored in the NoSQL database, MongoDB. The results of this work can prove beneficial for the investors to have an estimate about the success of a project before investing in it.
An incident reporting system as a tool in the management of work-related violence

This thesis concerns the gathering, interpretation and use of information pertaining to work-related violence as a risk to the health and safety of staff. It considers incident reporting systems in particular, and describes work carried out to extend the usefulness of such a system operating within the licensed retail trade. Information obtained from the system falls into two categories. First, information about the reporting system itself includes the benefits and limitations of incident reporting as a diagnostic tool for the occurrence of violence, and the use of complementary methods to enhance its effectiveness; the design of a report form that elicits more detail than is required by national reporting; the evolution of a flexible and easily expandable coding scheme; and the usefulness of innovative pathway and survival techniques in the treatment of the violent incident as a developing situation. Second, information about violent incidents within licensed premises concerns characteristics of reported incidents; the dynamic nature of incidents; common pathways through violent incidents; the relation of the outcomes of incidents to other features; the timing of incidents; and the perceived seriousness of the reported incidents. Key findings include the role of every-day situations and ordinary objects used as weapons; the pivotal importance of intervention by staff, particularly in challenging customer misbehaviour; a system memory effect that increases the likelihood of a further incident occurring during the days and weeks following a reported incident at the same premises; and the variety of features that contribute to the seriousness rating given to an incident by the members of staff involved. The methods and findings have implications for academic research, for the organisational management of work-related violence and for the day-to-day management of licensed premises. Primarily, they can be used in devising strategies to reduce the risks to staff.
Data warehouse development : An opportunity for business process improvement

Many of today’s organizations are striving to find ways to make faster and better decisions about their business. One way to achieve this is to develop a data warehouse, offering novel features such as data mining and ad hoc querying on data collected and integrated from many of the computerized systems used in the organization. A data warehouse is of vital interest for decision makers and may reduce uncertainty in decision making. The relationship between data warehousing and business processes may be used at the pre-deployment stage of a data warehouse project, i.e. during the actual development of the data warehouse, as an opportunity to change business processes in an organization. This may then result in improved business processes that in turn may result in a better performing data warehouse. By focusing on the pre-deployment stage instead of the post-deployment stage, we believe that the costs for development will decrease, since needs for changes detected early in a development project probably will be detected anyway, but in a later stage where changes in the business processes may cause a need to restructure the finished data warehouse. We are therefore interested in which factors that may cause a need for changes in the business processes during the pre-deployment stage of a data warehouse project, the types of business processes affected, and also if there is any correspondence between factors that trigger changes and business processes affected. Based on a literature survey and an interview study, general triggering factors to change business processes have been identified, such as needs for new organizational knowledge and for prioritization of goals etc. We have also found that needs for changes more often concern supporting processes than other types of business processes. We have also found a general correspondence at a type level between triggering factors and affected business processes. In combination with the results and conclusions presented, we have also identified propositions for future work, which will refine and confirm the ideas presented here.
How Gamification will change Business Intelligence

In 1958, William Higginbotham was part of the Brookhaven National Laboratory (BNL) Instrumentation Division. In those days, BNL hosted a visitors day each fall. This was an opportunity for thousands of visitors to come and tour the lab and get a better understanding of the capabilities and operations at a nuclear research facility. William Higinbotham wanted to do something that would impress the audience as well as demonstrate the capabilities of the instrumentation division. Higinbotham came up with an idea that would allow the audience to play a simulated game of table tennis. By utilizing an analog computer and an oscilloscope, Higinbotham created the first publically available video game. The game was very simple and simulated the vertical side of a tennis court, the edge of the floor with the edge of the net perpendicular, on a screen. Each player had a button and a rotating knob. Rotating the knob would change the angle of the bar controlling the ball; pressing the button sent the ball toward the opposite side of the court. If the ball hit the net, it rebounded at an unexpected angle. If the ball went over and was not hit back, it would hit the floormore » and bounce again at a natural angle. If it disappeared off the screen, a reset button could be pressed, causing the ball to reappear and remain stationary until the user pressed the button to send the ball flying back across the net. Higginbotham recounted that "it was a simple design. Back then, analog computers were used to work out all kinds of mechanical problems. They didn't have the accuracy of digital computers, which were very crude at the time, but then you don't need a great deal of precision to play TV games. " The game was wildly successful and Higinbotham could tell from the crowd’s reaction that he had developed something very special. From the days of Higinbotham’s rudimentary version of the classic game Pong, video games have matured and become much more complex. Not only has the technology advanced, allowing for better graphics, sound and game play, but also significant research has been done in the area of game mechanics. “Game mechanics are rule based systems that facilitate and encourage a user to explore and learn the properties of their possibility space through the use of feedback mechanisms. ” (Koster, 2004) As these game mechanics become better understood, they are being applied to areas outside of the realm of video game development. Game mechanics have become the basis for understanding the psychological drivers of users in the digital world. Business Intelligence, part of this digital experience, can learn some great lessons in how to engage users and revolutionize the user experience through the application of these game mechanics. In the tradition of BNL’s innovative spirit and as a sister laboratory in the Department of Energy laboratory complex, Idaho National Laboratory (INL) looks to determine how we can enhance the user experience through the effective application of game mechanics to Business Intelligence to meet the needs of our business. « less
The Arms production dilemma : contraction and restraint in the world combat aircraft industry

INTRODUCTION: Competitive Arming or Co-operative Arms Control? , Randall Forsberg RUSSIA: Russian Air Strategy and Combat Aircraft Production: A Russian Air Force View edited and with a commentary by Alexei Arbatov, The Conversion of the Russian Military Aircraft Industry, Alexander Ozhegov, Russian Aerospace Exports, Sergei Kortunov, with a commentary by Alexei Arbatov OTHER PRIMARY ARMS PRODUCERS: U.S. Airpower and Aerospace Industries in Transition, Randall Forsberg, Andrew Peach, and Judith Reppy, The British Push for the Eurofighter 2000, Susan Willett, Michael Clarke, and Philip Gummett, Italy's Aerospace Industry and the Eurofighter 2000, Marco De Andreis and Giulio Perani, Germany - The Reluctant Eurofighter Partner, Ulrich Albrecht, Peter Lock, and Jonathan Cohen, The Rafale and French Military-Industrial Autonomy, Francois Chesnais, Claude Serfati, and Andrew Peach, The Gripen and Sweden's Evolving Defense Industrial Policy, Elisabeth Skons and Fredrik Wetterquist SECONDARY ARMS PRODUCERS AND MAJOR IMPORTERS: The Spread of Advanced Combat Aircraft, Jonathan Cohen and Andrew Peach GLOBAL PROSPECTS: Issues and Choices in Arms Production and Trade, Randall Forsberg and Jonathan Cohen Appendix, Jonathan Cohen and Andrew Peach.
EnerCities - A Serious Game to Stimulate Sustainability and Energy Conservation: Preliminary Results

Serious gaming is generally considered to be a powerful means to educate people. Using such games influencing the energy consumers of tomorrow, i.e. present-day secondary school students to become more environmentally friendly and conserve more energy at home presents researchers and designers with a specific set of challenges: in addition to resorting desired effects on outcome variables, the game also has to appeal to people who are highly critical. This paper presents some preliminary evaluation results of a project initiated to do just that: a serious game was developed to increase awareness and attitudes relating to energy use in the household, in a number of European countries. Combining results from exploratory quantitative and qualitative pilot studies and a quantitative field experiment, we come to the following conclusions: (serious) gaming in the field of sustainability and energy conservation is not common among students, as evidenced by extremely low percentages of reported use. Furthermore, results clearly show that playing EnerCities increased awareness, and more positive attitudes towards some everyday-life energy-related behaviours.
ERODIBILITY TESTS OF SHALE-ROCK SAMPLES TAKEN FROM BRIDGE PIER CONSTRUCTION SITE ON THE MISSISSIPPI RIVER

In 1991 the Iowa Department of Transportation (IADOT) was constructing a new bridge across the Mississippi River (approximately River Mile 404) on U.S. 34 at Burlington, Iowa, when some hazardous material (old coal tar) was found along the right river bank (Iowa side) within a thin sand layer, approximately 2.4 m thick, of the river bottom which overlaid the shale rock. The original design of the bridge pier scour protection called for placement of riprap materials around the bridge pier. However, the discovery of the coal tar forced a design change of the pier footings to allow for the future clean-up operation of the hazardous material. A re-designed scheme involved possible elimination of proposed riprap. In order to evaluate the entire system's safety against potential scour problems, IADOT decided to extract undisturbed shale samples and test them using prototype velocity scales under a realistic prototype time scale under laboratory conditions. This practical approach was needed because of the uncertainties involved in estimating prototype velocities around bridge piers during extreme flood events, and a scarcity of literature available on the subject. Laboratory scour tests were conducted at IIHR-Hydroscience & Engineering, formerly Iowa Institute of Hydraulic Research (IIHR), the University of Iowa, for two shale specimens which were sampled directly from the bridge construction site. Although the samples were not under the desired undisturbed conditions, the laboratory test results using round jets indicated some potential for scour under high flow velocities. However, because there are so many unknown factors involved, such as true magnitudes of velocities in the scour hole, impact of large-scale eddies within the scour hole on shale-rock stability, surface conditions of shale rock when exposed in the prototype, changes in homogeneity of the shale-rock formation during construction activities, etc., the laboratory erodibility tests could by no means simulate the exact physical phenomena which would occur in the prototype. Instead, the test results reported should be viewed as an indication of probable events that would take place in the prototype.
A Home Automation system based on Smart phone

Smart Home or Home Network technology is one that continuously creates added value, making a better life. This paper designed and developed a smart home control system using smart phone. This proposed smart home system consists of home server control system, remote smart application system and home node structure. Home node structure, in detail, is composed of intrusion detection, gas leakage or gas valve control, door lock, automatic curtain, ventilation control and On/Off control modules and these modules are controlled at home server. Home server makes it easy to control home automatic control system anytime, anywhere as it provides remote interface that enables control via smartphone and user interface in itself.
Use of the Extended Fourier Amplitude Sensitivity Test to Assess the Importance of Input Variables on Urban Water Supply System Yield - A Case Study.

This paper presents a Sensitivity Analysis (SA) of the input variables used in the estimation of yield, considering multiple 20 year hydroclimatic scenarios of system inflow, rainfall, evaporation and demand. The Barwon urban water supply system in Australia was considered as the case study, whilst the extended Fourier Amplitude Sensitivity Test (eFAST) method was used for the SA. Input variables of the simulation model of the Barwon system were divided into two categories for use in SA analysis: the climate dependant variables (i.e. system inflow, rainfall, evaporation and demand) used to generate various climate scenarios, and the system policy variables which were assumed to have knowledge deficiency in relation to their optimum values. The security of supply thresholds were found to be the most important input variables, followed by the upper restriction rule curve position. The remaining variable did not show a discernible trend, indicating sensitivity to system inflow variability rather than total system inflow volume. The yield estimate was found to increase as the total system inflow increased. However the yield estimate had a wide range of variability as the total system inflow increased showing that the model behaviour and the yield estimate is particularly sensitive to climate variability.
A Model for the Estimation of the Residual Driving Range of Battery Electric Vehicles Including Battery Ageing, Thermal Effects and Auxiliaries

Sustainable mobility has recently become a priority of research for on-road vehicles. Shifting towards vehicle electrification is one of the most promising solutions concerning the reduction in pollutant emissions and greenhouse gases, especially for urban areas. Nevertheless, battery electric vehicles might carry substantial limitations compared with other technologies. Specifically, the electric range could be highly affected by the ageing process, non-optimal thermal management of the battery and cabin conditioning. In this paper, a model for the estimation of the residual range of electric vehicles is proposed accounting for the influence of battery state of health, battery pack temperature, power consumption of the main vehicle auxiliaries, and battery pre-heating on the residual driving range. The results of the model application to an L7 battery electric vehicle highlighted that the electric range can be highly affected by several factors related to real-world driving conditions and can consistently differ from nominal values.
DSP-Based Electromechanical Motion Control

Introduction to the TMSLF2407 DSP Controller C2xx DSP CPU and Instruction Set General Purpose Input/Output (GPIO) Functionality Interrupts on the TMS320LF2407 The Analog-to-Digital Converter (ADC) The Event Managers (EVA, EVB) DSP-Based Implementation of DC-DC Buck-Boost Converters DSP-Based Control of Stepper Motors DSP-BaseD Control of Permanent Magnet Brushless DC Machines Park and Clarke's Transformations Space Vector Pulse Width Modulation DSP-Based Control of Permanent Magnet Synchronous Machines DSP-Based Vector Control of Induction Motors DSP-Based Control of Switched Reluctance Motor Drives DSP-Based Control of Matrix Converters Appendix A: Induction Motor Simulation and Control using Software Packages
Synthesis of the Dan Trahn Based on a Parameter Extraction System

Analysis and synthesis processes for the dan tranh, a Vietnamese plucked string instrument, are described. In the analysis part, parameters are extracted from the decay region of recorded tones by using partial decay estimation and short-time Fourier transforms. The parameters of the string model are estimated, and the excitation signals for the model are extracted from recorded tones. The quality of synthesized tones is also studied based on different recorded data, numerous analyzed partials, and amplitude normalization. The results are compared with the Korean gayageum with silk strings and the acoustic guitar with steel strings. The quality of the synthesized sounds is verified by a multiple stimulus with hidden reference and anchor (MUSHRA) test. The average score was about 87, based on 100.
Mechanisms and Mechanical Devices Sourcebook

Preface Acknowledgments Chapter 1: Basics of Mechanisms Chapter 2: Motion Control Systems Chapter 3: Industrial Robots Chapter 4: Mobile Scientific, Military, and Research Robots Chapter 5: Linkages: Drives and Mechanisms Chapter 6: Gears, Devices, Drives, and Mechanisms Chapter 7: Cam, Geneva, and Ratchet Drives and Mechanisms Chapter 8: Clutches and Brakes Chapter 9: Latching, Fastening, and Clamping Devices and Mechanisms Chapter 10: Chain and Belt Devices and Mechanisms Chapter 11: Spring and Screw Devices and Mechanisms Chapter 12: Shaft Couplings and Connections Chapter 13: Motion-Specific Devices, Mechanisms, and Machines Chapter 14: Packaging, Conveying, Handling, and Safety Mechanisms and Machines Chapter 15: Torque, Speed, Tension, and Limit Control Systems Chapter 16: Instruments and Controls: Pneumatic, Hydraulic, Electric, and Electronic Chapter 17: Computer-Aided Design Concepts Chapter 18: Rapid Prototyping Chapter 19: New Directions in Mechanical Engineering Index
Reflection in Transformative Learning: The Challenge of Measurement

Reflection is a key component of the transformative learning process. In this study, we take steps to define components of reflection and link them to a computer-based, quantitative method of content analysis called Linguistic Inquiry and Word Count (LIWC). This method can be used to evaluate common forms of reflective writing such as journals, reflective essays, and blog posts. It has several advantages over more common qualitative approaches for measuring reflection. We test the efficacy of this quantitative measurement approach with data from 98 study abroad university students. The results indicate strong explanatory power that tracks well with theory and observation of the reflective process. Our approach follows procedures for construct validation of the measurement method. As an early step to use quantitative methods with reflection, the LIWC shows promise. However, much more research must be done to extend these initial findings both in measurement and theory development.
Manufacture and Quality Characteristics of Korean Traditional Gugija(Lycii fructus) Tagju

To develop a new traditional Gugija tagju, various koji were prepared using several starch sources along with Aspergillus awamori var. kawachi, and then their effects on the quality of the tagju were investigated. Ethanol contents(11.113.8%) were not significantly different among the Gugija tagju made from the various types of koji, whereas the tagju made using non-glutinous rice koji had the best total acceptability. The addition of 1% Gugija extracts into the mash increased its total acceptability and anti-hypertensive angiotensin I-converting inhibitory activity, and the optimal fermentation period for brewing the Gugija tagju was 10 days.