Miracle-dz/UniFAR-FTUs huggingface dataset:
Classification of Candidate Landing Sites for UAV Forced Landings

*† This paper presents the multi-stage neural network classification technique used to classify candidate landing sites for the unmanned aerial vehicle forced landing problem. Results are included that show the surface type classification accuracy of this approach to 90%. These results are based on imagery collected from a series of flights in a Cessna 172. Conclusions on the most frequent types of safe landing sites are also provided, based on trends in the safe landing sites identified from developed algorithms. These results indicate that for the south-east Queensland, Australia region, the most common safe landing sites are grass fields.
nth-order multi-bit ΣΔ ADC using SAR quantiser

An nth-order multi-bit delta-sigma (ΣΔ) analogue-to-digital converter (ADC) using a successive approximation register (SAR) quantiser is proposed. By exploiting the residue voltage of a multi-bit SAR ADC, the proposed ADC performs as an nth-order noise shaping converter with only one opamp and removes the need for a feedback multi-bit DAC. In addition, the proposed architecture is very reconfigurable and can be implemented as a bandpass ADC.
Automated Diagnostics Software Requirements Specification, Version 1.1

This document specifies requirements for a computerized automated diagnostic tool for the detection of faults in certain heating, ventilation, and air-conditioning (HVAC) system components. The automated diagnostic tool is being developed for Architectural Energy Corporation (AEC) by Battelle as part of a program sponsored by the California Energy Commission (CEC). Supplemental cost-share funds are provided by U.S. Department of Energy through the Pacific Northwest National Laboratory (PNNL). This Requirements Specification (RS) specifies the essential capabilities required of the automated diagnostic tool. The purpose of this document is to clarify for AEC, the California Energy Commission (CEC), the Office of Buildings Programs, Office of Energy Efficiency and Renewable Energy (EERN) of the U.S. Department of Energy, and the project team the results that must be achieved by the automated diagnostic tool. The automated diagnostic tool detects and identifies faults in chillers and cooling tower subsystems of HVAC units using sensed data acquired from the unit, unit specifications, unit installation and configuration data, and unit operation data (such as schedules). The tool is a software product that will be utilized primarily by building operators and facilities managers and only secondarily by HVAC service technicians, energy service providers, and operation supervisors.
Isolation and Identification of an Efficient Aerobic Denitrifying Pseudomonas stutzeri Strain and Characterization of Its Nitrite Degradation

Nitrogen pollution in water bodies is becoming increasingly serious, and how to remove nitrogen from water bodies economically and effectively has become a research hotspot. Especially in recent years, with the gradual expansion of aquaculture in China, the content of nitrite and other nitrogen-containing substances in water bodies has been increasing, which inhibits the growth of farm animals and is one of the causes of eutrophication in water bodies. In this study, a strain of bacteria was isolated from the sludge of an aquaculture fishpond and identified as Pseudomonas stutzeri, which can efficiently degrade nitrite. After continuous domestication in nitrite mixed solution, the nitrite nitrogen reduction capacity of P. stutzeri was significantly improved. Univariate experiments aiming to optimize the degradation conditions indicate that the optimal culture conditions for strain F2 are: medium with a carbon source of sodium succinate; C/N of 18; pH of 8; culture temperature of 28 °C; and shaking speed of 210 rpm in the shaker. Under the optimal culture conditions, the NO2−-N concentration of the culture solution was 300 mg/L, and the nitrite removal rate reached 98.67%. Meanwhile, the results of the nitrogen balance test showed that the strain converted 6.1% of the initial nitrogen into cellular organic nitrogen and 62.3% into gaseous nitrogen.
The Agile Architecture Revolution: How Cloud Computing, REST-Based SOA, and Mobile Computing Are Changing Enterprise IT

A sneak peek at up-and-coming trends in IT, a multidimensional vision for achieving business agility through agile architectures The Agile Architecture Revolution places IT trends into the context of Enterprise Architecture, reinventing Enterprise Architecture to support continuous business transformation. It focuses on the challenges of large organizations, while placing such organizations into the broader business ecosystem that includes small and midsize organizations as well as startups. * Organizes the important trends that are facing technology in businesses and public sector organizations today and over the next several years * Presents the five broad organizing principles called Supertrends: location independence, global cubicle, democratization of technology, deep interoperability, and complex systems engineering * Provides a new perspective on service-oriented architecture in conjunction with architectural approaches to cloud computing and mobile technologies that explain how organizations can achieve better business visibility through IT and enterprise architecture Laying out a multidimensional vision for achieving agile architectures, this book discusses the crisis points that promise sudden, transformative change, unraveling how organizations' spending on IT will continue to undergo radical change over the next ten years.
Annotated Bibliography of Applied Physical Anthropology in Human Engineering

Abstract : This volume contains condensations of 121 reports in the field of Applied Physical Anthropology. A majority of the annotations are grouped under three headings, Anthropometry, Biomechanics, and Comfort; a few are included in a General Group. Working data and important illustrations are quoted directly from the original papers in most cases. A complete indei is arranged by author as well as by subject. An additional list of reports (not annotated) is included as background material. Two appendices containing relevant commentary on Seating Comfort and Anthropomorphic Dummies. are also included.
A study for DDOS attack classification method

In this study, we discussed three DDoS attack classification methods based on machine learning. The comparison is done to measure the accuracy rate of each machine learning classification method in detecting DDoS attacks. The method of classification that is compared is the decision tree method, naive Bayes and artificial neural network. Based on the comparison of the performance of the classification method, the decision tree method reaches 83.9%, naive Bayes is 76.5% and artificial neural network reaches 84.3%. Based on this comparison, it can be concluded that the DDoS attack classification method using an artificial neural network has the highest accuracy compared to the other two methods.
bayesvl: Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with 'Stan'

Provides users with its associated functions for pedagogical purposes in visually learning Bayesian networks and Markov chain Monte Carlo (MCMC) computations. It enables users to: a) Create and examine the (starting) graphical structure of Bayesian networks; b) Create random Bayesian networks using a dataset with customized constraints; c) Generate 'Stan' code for structures of Bayesian networks for sampling the data and learning parameters; d) Plot the network graphs; e) Perform Markov chain Monte Carlo computations and produce graphs for posteriors checks. The package refers to one reference item, which describes the methods and algorithms: Vuong, Quan-Hoang and La, Viet-Phuong (2019) The 'bayesvl' R package. Open Science Framework (May 18).
Growth, Doping, and Characterization of ZnO Nanowires: Application in a Miniaturized Gas Ionization Sensor

ABSTRACT Growth, Doping, and Characterization of ZnO Nanowires: Application in a Miniaturized Gas Ionization Sensor Svetlana Spitsina, Ph. D. Concordia University, 2013 Semiconductor ZnO has been the subject of research for many applications for the past several years, because the material is nontoxic, biosafe, chemically stable, and biocompatible. In this work we report studies on ZnO nanowires (NWs), its fabrication and applications. Techniques are developed to control the morphology and distribution of ZnO Nanowires (NWs). We have also investigated the conductivity of nanowires and its manipulation using various doping materials and their concentrations. Fabricated nanowires have potential applications such as integration in nano optoelectronics, solar cells, gas or humidity sensors, and many other devices. In this thesis we have explored its application to develop a gas sensor based on the ionization of gases, so-called Gas Ionization Sensor (GIS). A GIS based on metallic nanowires (NWs) had been previously designed and developed in the Micro/Nano Laboratories in the ECE Department at Concordia University. However, the reported device suffered from very low durability. The high voltages induced at the NWs tips damage the apexes (due to their thin structure) and device loses its sensitivity after several episodes of usage. High performance GIS sensors demand specific morphology of NWs, uniform distribution, low density, and demand that NWs be made of highly conductive and chemically stable materials. In this work we have introduced ZnO nanowires to replace the metallic nanowires in the GIS. It is the core of thesis to fabricate ZnO NWs having the characteristics to improve the functioning of the GIS. In these investigations we have focused on the electrochemical synthesis of nanowires. We used this technique due to its advantages such as low cost, high throughput, repeatability, uniform and large area synthesis of NWs, strong adhesion of NWs to the substrate, ability to grow them with desired morphologies, as well as the possibility of effective doping during the growth. Effects of various growth parameters on the nanowire structures are investigated. Studies on doping the nanowires, p-type and n-type, were carried out. ZnO NWs with desired structures and conductivity were used to design and fabricate a GIS. The device was tested for various gases. Significantly improved performance of the GIS was demonstrated. GISs with p-type ZnO NWs illustrated high field enhancement factors because of the morphology, distribution, and conductivity of nanostructures. Also, the novel gas detectors illustrated superior sensitivity, reliability, and repeatability.
The age factor influencing long-term physical functionality in stroke patients undergoing intra-arterial thrombectomy treatment

The treatment of acute ischemic stroke is heavily time-dependent, and even though, with the most efficient treatment, the long-term functional outcome is still highly variable. In this current study, the authors selected acute ischemic stroke patients who were qualified for intravenous thrombolysis with recombinant tissue plasminogen activator and followed by intra-arterial thrombectomy. With primary outcome defined by the functional level in a 1-year follow-up, we hypothesize that patients with older age are at a disadvantage in post-stroke recovery. However, an age-threshold should be determined to help clinicians in selection of patients to undergo such therapy. This is a retrospective chart review study that include 92 stroke patients in Changhua Christian hospital with a total of 68 evaluation indexes recorded. The current study utilized the forward stepwise regression model whose Adj-R2 and P value in search of important variables for outcome prediction. The chngpt package in R indicated the threshold point of the age factor directing the better future functionality of the stroke patients. Datasets revealed the threshold of the age set at 79 the most appropriate. Admission Barthel Index, Age, ipsilateral internal carotid artery resistance index (ICA RI), ipsilateral vertebral artery (VA) PI, contralateral middle cerebral artery (MCA) stenosis, contralateral external carotid artery (ECA) RI, and in-hospital pneumonia are the significant predicting variables. The higher the age, in-hospital pneumonia, contralateral MCA stenosis, ipsilateral ICA RI and ipsilateral VA PI, the less likely patient to recover from functional deficits as the result of acute ischemic stroke; the higher the value of contralateral ECA RI and admission Barthel Index, the better chance to full functional recovery at 1-year follow up. Parameters of pre-intervention datasets could provide important information to aid first-line clinicians in decision making. Especially, in patients whose age is above 79 receives diminish return in the benefit to undergo such intervention and should be considered seriously by both the patients and the physicians.
REPRODUCTIVE PERFORMANCE OF FOUR VARIETIES OF INDIGENOUS ASEEL CHICKEN UNDER DIFFERENT REARING SYSTEMS

A study was undertaken to investigate the effect of three rearing systems (free range, semi-intensive and confinement) on reproductive performance in four varieties of indigenous Aseel chicken (Lakha, Mushki, Peshawari and Sindhi). A total of 192 adult birds (168 females and 24 males), 48 from each variety, were subjected to 3 rearing systems under Randomized Complete Block Design (RCBD) in a factorial experiment. Data regarding reproductive performance [settable eggs (%), fertility (%), hatch of fertile (%), hatchability (%), embryonic mortality (%) and A-grade chicks (%)] were recorded from 31 to 46 weeks of age. The collected data were analyzed by using ANOVA technique. The results demonstrated improved settable eggs, fertility and hatchability in hens reared under confinement and semi-intensive rearing systems. Among different varieties, Sindhi and Peshawari hens depicted higher settable eggs (95.41±0.54) and A-grade chicks (59.36±2.57), respectively. Interaction of rearing systems and varieties clearly indicated maximum settable eggs in both Sindhi and Peshawari hens reared under confinement rearing system. Fertility and hatchability were greater (P≤0.05) in Sindhi hens under semi-intensive rearing system. The highest (P≤0.05) A-grade chicks (63.59±4.68) were found in Peshawari hens under semi-intensive rearing system. From the findings, it can be concluded that confinement and semi-intensive rearing systems remained comparatively better with respect to settable eggs, fertility and hatchability. Both Sindhi and Lakha varieties of Aseel hens can be raised in semi-intensive rearing system as they demonstrated better performance with respect to settable eggs and A-grade chicks.
Using peer tutors to improve the legal writing skills of first-year law students at University of KwaZulu-Natal, Howard College School of Law

SUMMARY Over the past few decades, the University of KwaZulu-Natal’s Howard College School of Law (UKZN School of Law) has paid considerable attention to improving the legal writing skills of its first-year law (LLB) students. In its quest to improve these skills, the School of Law has implemented a number of writing interventions, which have focussed on finding a creative solution to the problem of balancing the need for time-intensive student support and the lack of staff capacity to provide it. This article argues that one such solution could be to use senior Law School students acting in the capacity of peer writing tutors. The article begins by discussing the concept of using peer tutors to teach persuasive legal writing to first-year LLB students within the context of a collaborative and social constructivist teaching and learning paradigm. It proceeds to discuss the substantial benefits of using senior law students as peer tutors and the training that must be provided to them. This tutor training is essential, since many of the peer tutors, despite being senior law students, lack experience in teaching persuasive writing and therefore must still develop these skills. Thus, the article explores the significance of the training aspect of using senior law students to tutor persuasive writing to first-year law students, including the theoretical underpinnings of this training as well as its practical application. In this discussion, two models of peer tutor development are examined – “participatory peer-tutor development” and “peer-tutor development sequencing” – before discussing the practical (and necessary) application of both of these models in the module Teaching Legal Skills (“TLS”) at the UKZN School of Law. Finally, the article makes recommendations that could inform the design of a viable, cost-effective, energy-efficient future legal writing programme, and suggests possible ways of overcoming or avoiding the challenges identified. Constructivism tells us that we learn by assimilating new experiences into our existing knowledge framework. The statement perhaps best captures the core of constructivism: “knowledge is not found, but made”. This implies that one cannot transmit discrete bits of information to another person, which that person can simply absorb, amounting to ostensible “learning”. 18
Esaldi etenaldien ezarpena CART bidez Euskal Testu Ahots Bihurketarako

This paper presents a prosodic phrasing method for the Basque language, to improve naturalness in text to speech synthesis. Binary classification trees are trained with morphological and syntactic information to predict locations of breaks. Overall score achieved by the prediction tree is 92.53%, which compares positively with the results published for other languages. Laburpena Artikulu hon ek testu ahots s intesiaren n aturaltasuna hobetzeko p rosodia eza rtzeko metodoa a urkezten du . Sailkapen b itarreko zuhaitzak informazio morfologiko eta sintaktikoarekin entrenatzen d ira e tenaldiak non ezarri erabakitzeko. Aurreikuspen zuhaitzak lortutako puntuazio orokorra %92'53 da, beste hizkuntza batzuetarako publikatu diren emaitzen parekoa. Berba gakoak: Ahotsaren sintesia, entonazioa, etenaldiak. 1. Sarrera Esaldi etenaldi egokiak ezartzea funtsezkoa da ahots sintetikoaren naturaltasunerako, eta bere ulergarritasunerako ere bai, batez e re e saldi l uzeetan. Zoritzarrez hau lan zaila da: ahots naturalean etenaldiak ezartzeko erabakia faktore a skoren funtzio da, hala nola testuingurua, ahoskatze a biadura e ta arnasa e giteko b eharra. Behar denean etenaldirik ez egotea, edo leku desegokian egoteak TAB (testu ahots bihurketa) sistema naturaltasun gabekoa izatea eragiten du. Bestalde, etenaldiak TAB sistemen hainbat moduluk erabili ohi dituzte (iraupen, grafema-fonema eta intonazioa moduluak). Etenaldiak arau bidez jartzen duten sistemak daude, funtzio/eduki berba sailkapena kontutan harturik (Karn 1996), eta beste sistema batzuk analisi estatistikoaren eskutik ezartzen dituzte etenaldiak (Busser et al. 2001) (Hirschberg 1991). Euskara hizkuntza atzizki-ezartzailea denez oso funtzio hitz gutxi daude, beraz metodo arruntak ez dira e rabilgarriak. Lan honetan informazio morfologiko eta sintaktikoarekin entrenatutako sailkapen zuhaitza erabiltzen da etenaldiak ezartzeko.
ACCORD Broadband ATM Satellite Experiment (BASE) -protocols characterization

Abstract : A Broadband ATM satellite Experiment (BASE) was carried out between the Communicadons Research Centre, Canada and Rome Laboratory, USA during the period of May 95 to March 96. The objectives of the experiment was to perform a series of tests to characterize ATM over broadband satellite bearers. This document reports on the second phase of the experiment that was conducted from December 95 to March 96 over the NASA Advanced Communication Technology Satellite (ACTS) satellite(Ka-band). Tests consisted in throughput measurements of TCP over a broadband ATM satellite link as a function of Bit Error Rate (BER). The throughput performance of TCP/IP was very poor due mostly to the (bandwidth * delay) product being limited by the TCP window size implementation. The results are presented along with the influence of others factors such as the Maximum Transmission Unit (MTU) size and packet size. Finally, a performance comparison with a special implementation of TCPfor network with large delays and high bandwidth (TCPfor Long Fat Networks - TCP-LFN) is presented. Ii%
Experimental Studies of neural Network Control Technique for Nonlinear Systems

In this paper, intelligent control method using neural network as a nonlinear controller is presented. Simulation studies for three link rotary robot are performed. Neural network controller is implemented on DSP board in PC to make real time computing possible. On-line training algorithms for neural network control are proposed. As a test-bed, a large x-y table was build and interface with PC has been implemented. Experiments such as inverted pendulum control and large x-y table position control are performed. The results for different PD controller gains with neural network show excellent position tracking for circular trajectory compared with those for PD controller only. Neural control scheme also works better for controlling inverted pendulum on x-y table.
Bioinformatics Network Analyses of Growth Differentiation Factor 11 Anti-aging Study

Growth differentiation factor 11 (GDF11) has been implicated in rejuvenative functions in age-related diseases. The molecular mechanisms connecting GDF11 with these anti-aging phenomena (reverse age-related cardiac hypertrophy, vascular and neurogenic rejuvenation, et al.) are still unclear. In this study, we aim to uncover the molecular functions of GDF11 using bioinformatics and network-driven analyses at human gene and transcription levels using gene co-expression network analysis and transcription factor network analysis. Our data suggests that GDF11 is involved in variety of functions such as apoptosis, DNA repair and telomere maintenance and interaction with key transcription factors such as MYC proto-oncogene (MYC), specificity protein 1 (SP1) and ETS proto oncogene 2 (ETS2). Our findings shed lights on the functions of GDF11 and provide insights into the role of GDF11 in aging.
MODELING LARGE DEFORMATIONS USING POLYCARBONATE SCALE MODELS

This paper presents a method for modeling large deformations of structures using scale plastic models. The method was used to predict the dynamic barrier crash performance of a proposed vehicle structure with the aid of a computer simulation of the collision. The use of the technique can provide design direction in the early stages of the vehicle design process.
Decision-Making Evaluation Facility for Tactical Teams

Abstract : The Decision-Making Evaluation Facility for Tactical Teams, or DEFTT, is a portable testbed system designed to provide a simulation environment for conducting tactical decision-making research. Teams engage in nine vignettes which provide the context for studying 'naturalistic' decision making in a realistic environment. A primary concern was to maintain the fidelity of the Navy combat information center (aboard ships) for six-member tactical teams under relatively stressful conditions. Six consoles and an experimented control station are electronically linked, and actions taken by each team member are recorded as they respond to highly complex decision events. A brief description is given of the (1) research objectives (including some of the psychological and engineering principles guiding the research); (2) general methodological approach; (3) hardware and software used; and (4) some development issues related to operationalization of such a research testbed.