Miracle-dz/UniFAR-FTUs huggingface dataset:
AdaFlow: Domain-adaptive Density Estimator with Application to Anomaly Detection and Unpaired Cross-domain Translation

We tackle unsupervised anomaly detection (UAD), a problem of detecting data that significantly differ from normal data. UAD is typically solved by using density estimation. Recently, deep neural network (DNN)-based density estimators, such as Normalizing Flows, have been attracting attention. However, one of their drawbacks is the difficulty in adapting them to the change in the normal data’s distribution. To address this difficulty, we propose AdaFlow, a new DNN-based density estimator that can be easily adapted to the change of the distribution. AdaFlow is a unified model of a Normalizing Flow and Adaptive Batch-Normalizations, a module that enables DNNs to adapt to new distributions. AdaFlow can be adapted to a new distribution by just conducting forward propagation once per sample; hence, it can be used on devices that have limited computational resources. We have confirmed the effectiveness of the proposed model through an anomaly detection in a sound task. We also propose a method of applying AdaFlow to the unpaired cross-domain translation problem, in which one has to train a cross-domain translation model with only unpaired samples. We have confirmed that our model can be used for the cross-domain translation problem through experiments on image datasets.
A Calibration Process Focused on Predicting Both Energy Performance and Indoor Thermal Conditions

This paper describes a new approach for calibrating whole-building energy models. In this case, we expose the building to a thermal-response test and observe its natural response to ambient conditions during unoccupied periods. This approach allows us to develop a calibrated model for the building structure using a set of conditions that more fully expose its complete dynamics. Subsequent calibration steps could be used to calibrate occupancy and system models as in Lam et al. (2014). The authors ultimately select parameters using the Bayesian calibration approach. The paper discusses both the rationale for the approach as well as the specific mechanism through which it is implemented. The superiority over whole-building energy calibration is demonstrated using a simulation study. Results from a real-world case study are also presented.
Robust pipeline localization for an autonomous underwater vehicle using stereo vision and echo sounder data

Submarine oil and gas pipeline inspection is a highly time and cost consuming task. Using an autonomous underwater vehicle (AUV) for such applications represents a great saving potential. However, the AUV navigation system requires reliable localization and stable tracking of the pipeline position. We present a method for robust pipeline localization relative to the AUV in 3D based on stereo vision and echo sounder depth data. When the pipe is present in both camera images, a standard stereo vision approach is used for localization. Enhanced localization continuity is ensured using a second approach when the pipe is segmented out in only one of the images. This method is based on a combination of one camera with depth information from the echo sounder mounted on the AUV. In the algorithm, the plane spanned by the pipe in the camera image is intersected with the plane spanned by the sea floor, to give the pipe position in 3D relative to the AUV. Closed water recordings show that the proposed method localizes the pipe with an accuracy comparable to that of the stereo vision method. Furthermore, the introduction of a second pipe localization method increases the true positive pipe localization rate by a factor of four.
PROPAGATING THE FLUID MODEL OF PRODUCTION PROCESSES WITH TIME DELAY

Process delay may largely reduce the production revenues of a business, particularly in smalland medium-sized enterprises. In our previous report, the production process was treated as a propagating fluid, and its delay was assumed as a lead time delay. As a new perspective, the downstream process is delayed by restraining the propagation of the upstream process. Moreover, we present that the propagation model with delay is equivalent to an Ornstein-Uhlenbeck (OU) process in mathematical finance. To obtain the parameters of the delay time and process stages, the stationary transition distribution is solved by analyzing the Fokker-Plank equation in numerical simulations. The types of production flow systems corresponding to different transition distributions are also analyzed.
Banes and boons of perturb & observe, incremental conductance and modified regula falsi methods for sustainable PV energy generation

Maximum power point tracking (MPPT) optimizes overall power generation in photovoltaic (PV) applications. The voltagepower characteristics of PV array operating under variable irradiance and temperature conditions exhibit numerous local maximum power points (MPP). This paper presents the optimization method of MPP tracking, based on the modified Regula Falsi method (MRFM). Results of this method are compared with the conventional perturb & observe (P&O) method and the incremental conductance (IC) method. The modified Regula Falsi method has better convergence, lower oscillation time, less power loss and enhanced output power than the other two methods. To obtain a stable voltage from a solar array, a DC-DC Cuk converter is used. It can step-up and step-down the voltage level according to load requirement. Results have been verified on the MATLAB platform in variable environmental conditions.
Perceived Factors Affecting the Integration-Responsiveness Framework: An Analysis from Chinese Multinationals Operating in Australia

This study extends quantitative and conceptual studies that have clarified and assessed the underlying factors influencing multinational corporations (MNCs) international business strategy choices relating to global integration and local responsiveness with the use of cross–level and in-depth interviews. Top management perceptions from nine Chinese MNCs (CMNCs) with operations in Australia are detailed and it is argued a contingency approach tends to prevail within firms with organisational, industrial, and environmental contingencies predominating.
Estuary and adjacent beach sediments in the Gannel Estuary 71 CHARACTERISATION OF ESTUARY AND ADJACENT BEACH SEDIMENTS IN THE GANNEL ESTUARY , SOUTH-WEST ENGLAND

The nature of estuary sediments reflects the transport processes operating at local and regional scales as well as the longer-term evolution of estuary morphology (Anthony and Héquette, 2007). Grain-size remains the most important property to inform our understanding of these linkages as it provides fundamental information on sediment transport dynamics, the transport history and provenance of sediment supply through depositional conditions (Folk and Ward, 1975; Friedman, 1979; Blott and Pye, 2001). Grain-size trends, which may be primarily related to abrasion and selective sorting effects (Le Roux and Rojas, 2007), are naturally the result of sediment transport processes (Krumbein, 1938; Russell, 1939; Swift et al., 1972; Stapor and Tanner, 1975; McCave, 1978; Harris et al., 1990; Le Roux and Rojas, 2007). Key grain size statistics (e.g. those relating to the average, sorting, skewness and kurtosis) have traditionally been obtained by sieve or settling techniques (Blott and Pye, 2001; Le Roux and Rojas, 2007). However, modern laser diffraction sediment size analysers permit much more rapid processing of large numbers of samples (Eshel et al., 2004; Blott and Pye, 2006). The aim of this study is to characterise and analyse size variation in the surface sediments of the Gannel Estuary, on the North Atlantic coast of Cornwall, South-West England. Specifically, the study investigates the variability in sediment characteristics within the estuary and on the adjacent beach with a view to elucidating the nature of the sedimentary exchanges that occur between these two environments. Oyedotun, T.D. T. , Burningham, H. and French, J.R. 2012. Characterisation of estuary and adjacent beach sediments in the Gannel Estuary, South-West England. Geoscience in South-West England, 13, 71-76.
Daily-life tele-monitoring of motor performance in stroke survivors

The objective of the EU project INTERACTION is to develop an unobtrusive and modular sensing system for objective monitoring of daily-life motor performance of stroke survivors. This will enable clinical professionals to advise their patients about their continued daily-life activity profile and home training, and evaluate and optimize rehabilitation programs.A modular textile-integrated sensing system was developed and performance and capacity measures were proposed and clinically tested in stroke subject.Telemonitoring facilities were developed and tested. In the last stage of the project, the system will be tested during daily-life.
Perfectionism in Collegiate Musicians

The primary purpose of this study was to investigate the constructs of perfectionism, music-related stress, and music performance anxiety among collegiate music majors. An additional purpose of this study was to investigate collegiate musicians' strategies for coping with each of the three dependent variables. A total of 52 collegiate music students enrolled at a large, mid-western university participated in an online questionnaire in the fall of 2017, and the response rate was approximately 13 percent. The survey instrument was constructed using items from Cohen, Karmarck, and Mermelstein’s Perceived Stress Scale (1993), Hewitt and Flett’s Multidimensional Perfectionism Scale (1999), and the Kenny Music Performance Anxiety Inventory (2009). In addition, demographic data was collected. The majority of participants were either music education or music performance students. Reliability ratings for each of the dependent variable subscales were high, and composite scores were created for each subscale. Participants indicated that, on average, they had elevated feelings of perfectionism, music performance anxiety, and music-related stress in their life. Each of these three constructs was significantly positively correlated with one another (p < .01) at modest to moderately strong magnitude. There were no group differences across gender, major area, or level in schooling with regard to each of the three dependent variables. Participants indicated that the main stressors in their lives were performing pressures, lesson expectations, and time management. In order to cope with these stressors, participants indicated that they used breathing strategies, exercising, and mindfulness strategies. Recommendations for both collegiate musicians and professors are discussed. Perfectionism in Collegiate Musicians 3
Seismic AVO inversion using the closed skew-normal random field

Skewness is often present in a wide range of geostatistical problems, and modeling it in the spatial context remains a challenging problem. In this article the multivariate closed skew-normal distribution is consider ed, which is a generaliza- tion of the traditional normal distribution. The closed ske w-normal distribution is used in a predictive setting on real seismic data from the Sleipner field in the North Sea. Model parameters are estimated by maximum likelihood, and the predictive distribution is estimated by a Metropolis-Hastings algori thm.
MDDAG: learning deep decision DAGs in a Markov decision process setup

In this paper we propose an algorithm that builds sparse decision DAGs (directed acyclic graphs) out of a list of features or base classiﬁers. The basic idea is to cast the DAG design task as a Markov decision process. Each instance can decide to use or to skip each base classiﬁer, based on the current state of the classiﬁer being built. The result is a sparse decision DAG where the base classiﬁers are selected in a data-dependent way. The development of algorithm was directly motivated by improving the traditional cascade design in applications where the computational requirements of classifying a test instance are as important as the performance of the classiﬁer itself. Beside outperforming classical cascade designs on benchmark data sets, the algorithm also produces interesting deep structures where similar input data follows the same path in the DAG, and subpaths of increasing length represent features of increasing complexity.
A MICROSCOPIC ANALYSIS ON SHAPE OF RUTHENIUM ISOTOPES

The advance of experimental techniques has opened the way for a better understanding of quantum phase transitions (QPT) in a variety of mesoscopic systems, atomic nuclei, molecules and atomic clusters [1]. In the case of atomic nuclei, the concept of QPTs has been applied and investigated in the recent decade, both experimentally and theoretically, in equilibrium shape changes of nuclei [2–4]. A new class of symmetries X(5) and E(5) have been proposed to describe shape phase transitions in atomic nuclei by Iachello [5, 6] and these symmetries was experimentally identified in the spectrum of 152Sm [7] and 134Ba [8]. The X(5) symmetry was suggested to define critical-points in the phase transitions from spherical to axially deformed systems while E(5) symmetry was proposed to describe systems lying at the criticalpoint in the transition from spherical to γ−soft shapes. Theoretical QPTs in nuclei have been studied based on geometrical [2] and algebraic models [3]. Although the X(5) and E(5) symmetries are based on particular solutions of the Bohr-Mottelson differential equations, they are usually applied in the context of the interacting boson model (IBM). As is well known, in the IBM there are three dynamic symmetries given by U(5), SU(3) and SO(6). They are related with spherical symmetry, axially deformed and γ-soft shapes, respectively. The symmetry X(5) is related with the critical-point between the U(5) and SU(3) symmetry limits. The E(5) symmetry corresponds to the phase transition region between the U(5) and O(6) symmetries. Although the Bohr collective Hamiltonian and the IBM are widely used for describing shape phase transitions in nuclei, mean field theories (e.g., HFB me-
Stability of grazed patches on rough fescue grasslands.

cootiouous stockiog usu8Ily leads to the fonlutioo of grued patclkea. However, the effect of p&bee 00 the grazelMd c0mmunity is related to their stability. Therefore, we ztudied the spatial stability of grazed pat&e oo Rough Fezcue Gramlande by map ping forage remov8l clmuee 00 10 site8 over 8 Cyeu period, tezting stability uzing the Kappa index (H), and characterizing the soila and vegetatioo of overgrazed and undergrazed patches. Spotlal stability of grazed patches between comecutivc yeam wm good (lEO.26) oo &en experieming low grazing prwsure. However, oo dtea having high grazing preezure, spatial stability waz Iese comizteot between comecutive yeuz (DKSO.45) ud low over 8 Cyeu period (K10.10). Overgrazed patches were dominated by graziogresistant zeral speck, but undergrazed patcher were dominated by climu species. Rough feecue (%cstuco SC&&~ 8nd P8rry oat grazs @u&to& porryi) plantz were 50% shorter, and forage production waz about 35% lees, on overgrazed than on undergrazed patches. Soil organic matter, carbohydratea, and depth of Ah horizon were zignificantly greater oo undergrazed patches but ureaze activity, NO& NH,, and available phosphorus were greater oo overgrazed patchez. Overgrazed and undagrazed patches were stable in the long term, although patch bouodariez fluctu8ted.
SEARCH FOR SUPERSYMMETRY USING FINAL STATES WITH MUONS , JETS , AND MISSING TRANSVERSE MOMENTUM WITH THE CMS DETECTOR IN √ s = 7 TeV pp COLLISIONS

The results of search for superparticles in final states with jets, muons and missing transverse energy are presented. The study is based on a data obtained in proton-proton collisions at √ s = 7 TeV. They correspond to 4.36 fb−1 of integrated luminosity collected with the CMS detector in 2011. mSUGRA/MSSM model built in generator PYTHIA6 was used for SUSY signal modeling. Two selection criteria for searching SUSYmanifesting were used. Background from Standard Model processes was estimated using the MADGRAPH and POWHEG generators. It is shown that with confidence level 95% the data are found to be in agreement with Standard Model expectations and new physics effects are not observed in ranges E T >200 GeV and M inc eff >600 GeV. PACS: 11.25. -w, 12.60. Jv, 02.10. Ws
Novice Superintendents and the Efficacy of Professional Preparation

Follow this and additional works at: http://ecommons.udayton. edu/eda_fac_pub Part of the Educational Assessment, Evaluation, and Research Commons, Educational Leadership Commons, Education Economics Commons, Elementary and Middle and Secondary Education Administration Commons, Higher Education Administration Commons, Other Educational Administration and Supervision Commons, Special Education Administration Commons, and the Urban Education Commons
Using Slow Feature Analysis to Extract Behavioural Manifolds Representing Humanoid Robot Postures

This paper demonstrates how Slow Feature Analysis (SFA), an unsupervised learning al-gorithm stemming from the domain of theoretical biology, can be used to extract behavioural manifolds related to a humanoid robot’s body postures. On one hand, we show that SFA detects abstract semantic features, encoding high-level behaviours, which can be used for representation making and the classiﬁcation of the robot’s posture; on the other hand we propose a method for analysing the obtained SFA components in terms of the manifold that contains the robot’s sensory states belonging to the detected postures. This allows further characterisation of the SFA results as well as a possible means for directed exploration of the sensory state space.
Methods of Phosphorus Application and Fertigation Rate on Eggplant Yield and Phosphorus Use Efficiency in Sandy Soil

Phosphorus (P) fertigation in water soluble form may increase P concentration in the soil and increase P use efficiency relative to conventional preplant soil application when P is a yield limiting factor. Maintaining adequate soil P status remains an agricultural priority and is a particular issue with chemical managed systems. Two field experiments were conducted to evaluate P application methods and different fertigation rates on yield performance of egg plants grown on sandy soil. The methods of P application included preplant soil application as super phosphate (SP) at a rate equivalent to 140 kg Phaandfertigationof orthophosuphoric acid (OP) at different rates equivalent to 80, 140 and 200kg P hawhich referred to (OP80,OP140 andOP200), respectively. Being slightly soluble, preplant application of SP resulted in P accumulation at top soil 0-20 cm with a substantial vertical but little horizontal movement. On the other hand, P was delivered to a greater soil volume when applied as OP and was higher with increasing fertigation rate. Concentrations of P were consistently higher under all fertigation rates as and maintained maximum concentrations in the soil across time. Fertigation of OP resulted in higher fruit yield, fruit numbers and P uptake by the plants under all fertigation rates compared to the preplant soil application. The response of yield to P was significantly up to 140 kg P ha (OP140),but further increase did not significantly increase yield. At the same quantity of P applied eggplants grown under fertigationOP140 produced 25 and 28% greater fruit yield than plants received preplant P application in the first and second year, respectively. Similarly, P recovery was higher under all fertigation rates compared to preplant application but decreased with increasing P fertigation rates. Except for the highest fertigation rate, maximum P use efficiency (PUE) was observed with ferigation treatments. These results indicate that fertigation of OP was preferable to achieve highest yield compared to preplant application method and hence could play a vital role in reducing production cost and minimizing the negative impact of the over fertilization and consequent nutrient imbalance on the soil.
Running head: LOCOMOTION AND PERCEPTION 1 Word Count: 6164 How Locomotion Concerns Influence Perceptual Judgments

Successful self-regulation involves both assessment (e.g., making the right choices) and locomotion (e.g., managing change and movement). Regulatory mode theory is a motivational framework that highlights the ways in which these locomotion versus assessment concerns can receive differential emphasis across both individuals and situations. Although we know that locomotion motivation modulates goal-related movement, it is unclear whether these rather high-level concerns influence perceptual judgments of physical movement. Four studies investigated whether locomotion motivation also increases individuals’ perceptual judgments of movement. Across studies, whether locomotion motivation was measured (Studies 1a and 1b) or manipulated (Studies 2 and 3), individuals high in locomotion motivation judged more movement in static images relative to individuals chronically low in locomotion (Study 1a and 1b) and to individuals in an assessment motivational state (Studies 2 and 3). Implications for understanding the nature of locomotion motivation, and motivated perceptual judgments more generally, are discussed.
Looking for changepoints in spatio-temporal earthquake data

This work presents an application of a new method for changepoint detection on spatio-temporal point process data. We summarise the methodology, based on building a Bayesian hierarchical model for the data and priors on the number and positions of the changepoints, and introduce two approaches to taking decisions on the acceptance of potential changepoints. We present the dataset collecting Italian seismic events over 30 years and show results for multiple changepoint detection. Finally, concluding comments and suggestions for further work are provided.
Integrated Occupant Motion Sensing with Real-Time CFD Simulation as a Design Assessment Tool

The research presented is an investigative work on real-time interactive Computational Fluid Dynamics (CFD) simulation where a section of a wind tunnel is computationally simulated using Lattice Boltzmann equations for fluid flows. This research introduces a different approach to dynamic fluid simulation in design, which uses physical parameters from the built environment and creates a user-interactive output interface. The intention of the tool is to a) make early stage airflow analysis in the design process more intuitive to all the stakeholders involved as well as b) invoke future conversations for simulation engines to input live data from physical sensors. The LBM code is built in Microsoft Visual Studio and is connected to Microsoft Kinect V2 to detect the occupant’s movement and mirror the resulting disturbance in air inside the simulation. A flow field with initial conditions is generated with parameters such as dynamic viscosity, initial velocity, fluid density and boundary conditions. A Module of Kinect sensor and HD projectors is organized in the space to create a sensing and projection network. Three experiments were setup on a 1:1 scale in spaces with increasing area, height, number of people equipment capacity. The disturbances in airflow caused by people’s motion were captured and projected live on a fabric screen for visual assessment. The experiments validated the ability of the method to simulate transient airflow with live occupant states and highly customizable boundary conditions along with furniture input. The built system was observed to output seamlessly at 30fps with occupants interacting with the flow field in the physical world. The system also displayed high quality visuals for an engaging interactive experience.