Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of Measured Data with IF-77 Propagation Model Predictions

his report provides extensive comparisons of measured propagation data with predictions made by the IF-77 (ITS-FAA-77) and other propagation models. Although IF-77 was developed for aeronautical applications, it can be used for some point-to-point propagation paths, and the measured data selected for comparison includes point-to-point as well as aeronautical paths. Approximately 870,000 hours of data are associated with the 242 paths used. Predictions made with IF-77 were always best or second best and were substantially better than those made for free space conditions. The IF-77 model has a wide range of application and provides predictions compatible with the more specialized models tested. A discussion of the aeronautical propagation data pool from which the data were selected is included as an appendix.
Unmanned Aircraft Systems: Uavs Design, Development and Deployment

Foreword Preface Acknowledgments List of Figures Units and Acronyms Introduction to UAV Systems Part 1 - The Design of Unmanned Air Vehicle (UAV) Systems Introduction to the Design and Selection of the System Aerodynamics and Airframe Configurations Characteristics of Aircraft Types Design Standards and Regulatory Aspects Aspects of Airframe Design Design for Stealth Payload Types Communications Control and Stability Navigation Launch and Recovery Control Stations Support Equipment Transportation Design for Reliability Part 2 - The Development of UAV Systems Introduction to System Development and Certification System Ground Testing System In-Flight Testing Part 3 - The Deployment of UAV Systems Operational Trials and Full Certification UAV Systems Deployment Army Roles Air Force Roles Civilian, Paramilitary, and Commercial Roles Part 4 - UAS Future Future Prospects and Challenges UAS Continuing Evolution Appendix A - UAS Organizations.
Fine mapping of wheat Tatyd with pleiotropic roles in plant architecture, leaf yellowish and improved powdery mildew resistance

Background: Photosynthesis is the primary energy for biosphere, and is the foundation for life on earth. Leaf color mutations are widely used to study chloroplast structure and development, biosynthesis and metabolism of chlorophyll and plant photosynthesis, such as in rice and maize, with many genes be mapped and cloned. By comparison, there is few researches on the leaf color mutants in wheat. More and more studies have demonstrated that photosynthesis is involved in plant-pathogen interaction, whether leaf color mutations affect plant-pathogen interactions are rarely reported.Results: In this study, a leaf color mutant, NAU31, which has fewer tillers, dwarfed plant and improved powdery mildew resistance was identified from regenerated plant of common wheat cv. Yangmai158. Inheritance analysis of NAU31 showed that the above mutant traits were significantly correlated and controlled by a dominant gene, named Tatyd. Linkage analysis of a mapping population between NAU31 and a synthesized wheat W7984 using SSR markers, the Tatyd was preliminary mapped to 2DS. By BSA and linkage analysis using a 55K wheat SNP array, the Tatyd was fine mapped to the terminal region of 2DS, flanked by markers ZH47 and gwm296 and corresponding to a physical interval of 0.76 Mb. Genome-wide gene expression analysis indicated that the impairing of photosynthesis may be responsible for plant yellowing in NAU31. Photosynthetic physiological analysis showed varied chloroplast inner structure in the mesophyll cells of the mutant, and this may lead to reduced chlorophyll content (chlorophyll “a”, Chlorophyll “b”, total chlorophyll and carotenoid), as well as decreased maximum quantum efficiency of photosystem II (Fv/Fm) and Net photosynthetic rate.Conclusions: A mutant with few-tiller, plant yellowish, dwarfness and improved powdery mildew resistance was identified, and the mutated locus Tatyd was fine mapped to a 0.76 Mb genome region of wheat chromosome 2D. The yellowing trait of NAU31 may be attributed to its reduced photosynthesis ability due to changes of the chloroplast inner structure. The cloning of Tatyd will facilitate dissection of the mechanism involved in chloroplast development of wheat and the regulation of plant development and disease resistance.
Integration of biocatalyst and process engineering for sustainable and efficient n‐butanol production

Recent environmental economic developments generate a need for sustainable and cost‐effective (microbial) processes for the production of high‐volume, low‐priced bulk chemicals. As an example, n‐butanol has, as a second‐generation biofuel, beneficial characteristics compared to ethanol in liquid transportation fuel applications. The industrial revival of the classic n‐butanol (ABE) fermentation requires process and strain engineering solutions for overcoming the main process limitations: product toxicity and low space–time yield. Reaction intensification on the biocatalyst, fermentation, and bioprocess level can be based on economic and ecologic evaluations using quantifiable constraints. This review describes the means of process intensification for biotechnological processes. A quantitative approach is then used for the comparison of the massive literature on n‐butanol fermentation. A comprehensive literature study—including key fermentation performance parameters—is presented and the results are visualized using the window of operation methodology. The comparison allowed the identification of the key constraints, high cell densities, high strain stability, high specific production rate, cheap in situ product removal, high n‐butanol tolerance, to operate in situ product removal efficiently, and cheap carbon source. It can thus be used as a guideline for the bioengineer during the combined biocatalyst, fermentation, and bioprocess development and intensification.
Design of water-splitting photocatalysts by first principles computations

This thesis focuses on the design of novel inorganic water-splitting photocatalysts for solar applications using first principles computations. Water-splitting photocatalysts are materials that can photo-catalyze the water-splitting reaction under certain conditions. They provide an alternative way to capture and store the energy from the sun. Currently, the energy conversion efficiency of photocatalytic devices under solar illumination and in pure water (pH=7) is still far from the commercialization target. The design of new photocatalysts with better potentials is the key to solve this problem. We have first developed a so-called three-step method to compute the relative position of a semiconductor's conduction band (valence band) vs. the H2/H20 (0 2/H 20) level in solution from first principles. The merits of the method have been highlighted, and the performance of the method has been tested and compared with the performance of other methods. We conclude that the three-step method provides the desired accuracy for high throughput screening at an acceptable computational cost. We have designed a three-tier first principles high throughput screening system to identify new water-splitting photocatalysts by examining the phase stability, band gap and band edge positions of the candidate compounds. We construct the screening system by integrating the three-step method together with other previously developed methods in our group. We use the system to screen about 3000 different materials. Through the screening, most of the known water-splitting photocatalysts have been reproduced and, more importantly, sixteen new promising candidates have been proposed. Properties of these new candidates have been analyzed and compared to those of the known photocatalysts. Some particularly promising ones are highlighted. Ti30 3N2 is one of the identified candidates from the high throughput screening, and is particularly interesting as it has good phase stability, a low band gap and suitable band edge positions. In addition, it has the same crystal structure as Ta3N5 , which is also a photocatalyst with a low band gap. This leads to our study on the Ta3N5:Ti 3O 3N2 solid solution as a water-splitting photocatalyst. Using first principles computations, we study the phase stability, band gap and band edge positions of the solid solution. The results suggest that the Ta3N5:Ti3O3N2 solid solution may have a better potential than both its end members as a water-splitting photocatalyst. Thesis Supervisor: Gerbrand Ceder Title: R.P. Simmons Professor of Materials Science and Engineering
What Do Formal Communications Contribute to Knowledge-Intensive Project Work?

This study examined the role of deliverables in knowledge-intensive project work. Organizational genre studies, composition research, and object theory suggest that project deliverables (such as contracting documents, status updates, and final presentations) play a more comprehensive role in work activities than is examined to date. To explore this role we collected 1009 surveys from individual members of 214 teams after they completed initial, midpoint, and final deliverables during 7-14 week projects for diverse organizations. Scaled questions asked respondents to associate or disassociate deliverables with project activities; open-ended questions solicited information on value, learning, and client feedback. We also conducted 28 targeted interviews and participant observations of 35 projects. Findings show that deliverables serve three critical functions: operating as genres they control work by providing expectations for content, sequence, and timing; as drafts-being-composed they facilitate knowledge creation; as material objects they enable collaboration within and across groups. We elaborate these control, compose, and collaborative functions as the 3C Framework and explore implications for project management.
Optimal traffic control at railway junctions

Conflict occurs when two or more trains approach the same junction within a specified time. Such conflicts result in delays. Current practices to assign the right of way at junctions achieve orderly and safe passage of the trains, but do not attempt to reduce the delays. A traffic controller developed in the paper assigns right of way to impose minimum total weighted delay on the trains. The traffic flow model and the optimisation technique used in this controller are described. Simulation studies of the performance of the controller are given.
INTRODUCTION TO BIOMECHANICS CINEMATOGRAPHY AND VIDEO AS TOOLS FOR THE RESEARCHER AND COACH

The compact personal computer, with a large memory and a small price, is about to make biomechanics cinematography and biomechanics videography a part of the modern coach repertoire for advising the individual performer and for directing team strategy. However, before this happens the person trained in biomechanics will have to develop a "cook book" approach which can be turned over to the coach for practical implementation. There is a qualitative and quantitative side to biomechanics cinematography and biomechanics videography which will be discussed further.
Optimum Filters for Independent Measurements of Two Related Perturbed Messages

A general technique is developed for designing an optimum filter to smooth a perturbed message (signal plus noise) by employing separate and independent information about a second perturbed message whose signal portion is related to the first. For example, the second signal might be the first derivative of the original signal, or its second derivative, or its delay value, etc. The two noises are required to be statistically distinguishable. The method involves four steps: 1) feeding both sources of information into the same device, 2) utilizing known relations between the signal portions so as to remove the signal portions and leave noise terms only, 3) designing a subsidiary system to pass one of the two noise terms in an optimal way, and 4) recombining with one of the original messages so as to furnish an optimum smoothed estimate of the desired signal. A second question considered in the paper shows how one might smooth simultaneously both of the perturbed messages with a single compact system. The main ideas are illustrated in detail in a practical physical problem involving independent measurements of a signal and its derivative, such as occurs in guidance and control problems using radar equipment. Optimum physically realizable system designs are derived for handling this example.
Data-Enabled Poisson Equation Solver Using Multiple Input Artificial Neural Networks (ANNs)

We explore the possibility of using multiple input artificial neural networks for the solution of Poisson Equation. Results are shown for 1D case considering a boundary value problem with Dirichlet boundary conditions. As opposed to previous work, we consider the cases where input to the ANN is provided at multiple input nodes. A typical variation is considered containing sinc and cosine type functions and output validation is shown for different discretization steps. Time and error performances of the algorithm are presented.
Development of a workload estimator : the influence of surrounding traffic behaviour on driver workload and performance

The consumers’ increasing desire to be connected at all times and the advancement of integrated functionality within the vehicle, increases the risk that drivers could be faced with information overload while driving. Given the importance of human interaction with technology within the vehicle, automobile manufacturers are introducing workload manager systems within the vehicles to help prevent driver overload. However the ability of the system to decide in a timely manner requires anticipation of changes in workload, depending on the capacity of the driver and matching it with the demand expected from the driving task such as the dynamic traffic environment. In relation to the need to understand the influence of traffic demand on driver workload, the work here comprises the systematic manipulation of traffic complexity and exploration of workload measures to highlight which are sensitive to primary task demand manipulated. A within-subjects design was used in the studies explored in this thesis to allow comparison between different manipulated traffic conditions. In the first simulator test, the ability of various objective and subjective workload measures to tap into drivers’ momentary workload was examined. Following the identification of a subjective measure that was sensitive to the influence of lane changes performed by neighbouring vehicle on drivers’ momentary workload, the characteristics of the lane change were explored in the subsequent studies involving single and dual-task conditions. Overall, these studies suggested suppression of non-urgent communications by a workload manager during safety-critical conditions involving critical cut-ins would be advantageous to both younger and older drivers. This thesis offers a novel and valuable contribution to the design of a workload estimator so as to ensure that the driving demand is always within drivers’ capacity to avoid driver overload. Results of these studies have also highlighted the utility of vehicle-based sensor data in improving workload manager functionality.
Understanding the Level of Trust in Twitter based on the three Psychological Facets - Predictability, Dependability and Faith

Trust plays a significant role in social relations. Automatic trust prediction has become an important research area recently. However, trust-prediction is still an ill-defined problem. There is no concrete definition of trust that can be found in literature, mostly it is task-specific so far. In this paper, a generic definition of trust has been borrowed from psychology, which includes three facets of trust namely predictability, dependability, and faith. To understand the role and influence of these facets we have crowd-sourced a Twitter network data through Amazon Mechanical Turk and Rapid Workers. People were asked to rate their followers/followings (aka friends) on a Likert scale ranging from 0 to 5 (0 as low and 5 as high) into these three facets. Then to understand ‘ who trusts whom’ in a social network user level personality (aka person level sentiment) and their societal traits in terms of values (societal sentiment) has been analyzed. For the personality analysis, the Big 5 or the OCEAN model (Openness, Conscientiousness, Extroversion, Agreeableness, and Neuroticism) has been used and to understand the sociological sentiment the Schwartz values (Achievement, Benevolence, Conformity, Hedonism, Power, Security, Self-Direction, Stimulation, Traditional, and Universalism) has been utilized. Empirical results reveal several interesting insights of trust relations in societal relations.
International Conference on SMART CITY Innovation 2018

Preface Dear honorable speakers, participants, board of committees, guests, ladies, and gentlemen. On behalf of Scientific Modeling, Application, Research, and Training for City-centered Innovation and Technology Center for Collaborative Research (SMART CITY CCR), I welcome you all to Bandung for the very first International Conference on Smart City Innovation (ICSCI 2018), organized by Universitas Indonesia and Universitas Padjadjaran. It is my pleasure and privilege, knowing that this event happened by the cooperation between five Indonesian universities, which is funded by United States Agency for International Development (USAID), through one of our projects, Sustainable Higher Education Research Alliances (SHERA). This conference has a role to expose excellent and useful scientific writings to a wider scope, especially the works of researchers around technological innovations as a response to challenges in urban development and planning. As we know, issues on urban are issues collateral with people’s life. The research components from the data, information, experiments or interventions, and findings could be used by stakeholders such as influential societies, local leaders, governments, even ourselves as citizens to decide our way of living. The wonderful thing about ICSCI 2018 is it gives us an opportunity to listen to and get involved in the discussion with expert panellists (speakers) and presenters (participants), who are researchers focused in their respective fields. This conference also bridges the gap between scholars from various disciplines to bring and share their ideas about actual and relevant issues. ICSCI 2018 results in a collection of 47 oral presentations of full papers and 67 poster presentations covering 10 topics around 4 big themes: (1) Energy and Environment, (2) Infrastructure, (3) Information and Communication Technologies and Mobility, and (4) Quality of Life. As the USAID concerns on addressing gender equality or female empowerment in science and technology research, we are glad that we have a dominant number of female researchers participating in this year conference (62 among 114 people). We cherish each individual involved for making and contributing in this conference. I wish you a fruitful stay in Bandung, and above all a successful ICSCI 2018. Thank you. Director of SMART CITY CCR, Prof. Dr. Heri Hermansyah, S.T. , M.Eng.
On the Measurement of Electro Acoustic Enhanced Sound Fields

The installation and optimization of acoustic enhancement systems requires a large amount of experience. The verification in terms of measurement is most of the time done using conventional reverberation and acoustic parameter measurements according to ISO 3382. This is a good solution for diffuse sound analysis and general examination of early reflections, but in terms of direction dependent analysis the results are not satisfying. In this study a room equipped with an acoustic enhancement system was measured using a circular array. The effects of adding specific early reflections and direction dependent diffuse energy generated by the acoustic enhancement system are investigated. The results are compared to standard measurements according to ISO 3382.
Robustness in quantitative model-based fault diagnosis

Quantitative model-based fault diagnosis has become a popular issue in safety-critical systems, e.g., aircraft, spacecraft, chemical processes and nuclear plants. The use of dynamical system model information has been widely recognized as an important approach to fault detection and isolation for the case when there are no repeated hardware units. A prerequisite for feasibility of quantitative model-based fault diagnosis is satisfactory robust performance with respect to uncertainties. The paper discusses the different problems in robustness and surveys the state of the art in robust solutions for quantitative model-based fault diagnosis. The state observer with disturbance de-coupling design is recommended as a good solution for robustness in fault diagnosis. Further research topics in robust fault diagnosis are outlined.
Optimization Model for Time Sensitive IoT Requests

Emergence of Internet of Things (IoT) in the context of the smart city environments led to a variety of applications with different quality of service (QoS) requirements and characteristics. Vast portion of these applications have time sensitive requirements which raises the need to have a cloud-based computational infrastructure that can provide these applications with satisfying services within their delay specifications. In addition to the delay specifications, mixed types of end IoT devices in terms of request parameters and degrees of mobility pose extra challenges for the service providers. In this manner, fog computing which is a cloud-based computing paradigm has been introduced to bring the services to the edge of the network closer to the end user. The purpose of this work is to propose a scheduling solution that adopts three-tier fog computing architecture that can satisfy the maximum number of requests given their deadline constraints. Such a scheduling problem is known to be NP-hard. This led us, in this proposal, to model it as an optimization problem using mixed integer programming. The proposed model is then validated with an exact optimization technique.
Turning Points Detection of Business Cycles: A Model Comparison

This paper compares three models, namely Markov-Switching Model (MS), Self-Exciting-Threshold-Autoregressive Model (SETAR) and Hidden Markov Model (HMM), for detecting turning points of business cycles. The aim is to find out which of the three models produces the most reliable signals of turning points. For this purpose we apply these models to the US Industrial Production Index (IPI) and make a comparison of the results of the different models. We observe that the HMM performs best in our testing environment. The turning points detected by the HMM correspond well to the different phases of the business cycle. In comparison, the MS and SETAR produce rather instable signals.
Technological Trampolines for new venture creation in Catalonia: the case of University of Girona

Recent trends in technology transfer show an intensification of spin-off creation as a modality of university research commercialisation, complementary to the conventional ones, contract research and licensing. In this paper we analyse the evolution, objectives, resources and activities of a specialised unit -Technological Trampoline (TT) - in charge of new venture creation at the University of Girona (Catalonia-Spain). Based on two theoretical frameworks, Resource-based-view and Institutional Theory, we adopt a multi-dimensional approach to study the strategy of spinning-off new ventures at the University of girona in terms of resources and activities, how this process is organised and if the outputs fit with this UdG's objectives and the local environment. Our main contributtion is an in-depth analysis of the spin-off creation unit with special emphasis on its variety of resources and activities. The results have a series of implications and recommendations at both university and TT level.