Miracle-dz/UniFAR-FTUs huggingface dataset:
Advance forecasting of cyclone track over north Indian Ocean using a global circulation model

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Identifying Decision Structures Underlying Activity Patterns: An Exploration of Data Mining Algorithms

The utility-maximizing framework—in particular, the logit model—is the dominantly used framework in transportation demand modeling. Computational process modeling has been introduced as an alternative approach to deal with the complexity of activity-based models of travel demand. Current rule-based systems, however, lack a methodology to derive rules from data. The relevance and performance of data-mining algorithms that potentially can provide the required methodology are explored. In particular, the C4 algorithm is applied to derive a decision tree for transport mode choice in the context of activity scheduling from a large activity diary data set. The algorithm is compared with both an alternative method of inducing decision trees (CHAID) and a logit model on the basis of goodness-of-fit on the same data set. The ratio of correctly predicted cases of a holdout sample is almost identical for the three methods. This suggests that for data sets of comparable complexity, the accuracy of predictions does not provide grounds for either rejecting or choosing the C4 method. However, the method may have advantages related to robustness. Future research is required to determine the ability of decision tree-based models in predicting behavioral change.
An Improved and Fast MPPT Algorithm for PV Systems Under Partially Shaded Conditions

The use of solar power in some applications is challenging due to sudden changes in irradiance level and the fast occurrence of partial shading condition (PSC). For this reason, maximum power point tracking (MPPT) methods employed in photovoltaic (PV) applications allow for very fast detection and tracking of the maximum power point (MPP) during a partial shading condition. This fast reaction should minimize the power losses, have minimum steady-state oscillation and be accurate. In this paper, an analytical approach is proposed to track the real MPP in uniform irradiance condition (UIC) and PSC via the use of analytical formulas of the PV system behavior. The proposed method exhibits a rapid tracking speed, stable steady-state performance, and low sampling rate in all conditions. The characteristics and performance of the proposed algorithm under UIC and PSC are investigated and demonstrated through simulations and experimental tests.
Anxiety Reduction and Emotional Responding After a Session of Yoga

Background: Anxiety reductions after traditional forms of exercise are typically small and most likely to occur after high intensities. Whether yoga, an alternative mindful exercise that is commonly practiced at light-to-moderate intensities, reduces anxiety is poorly understood. Methods: Here, we examined whether 20 minutes of self-directed Hatha Yoga practice would protect against elevated anxiety and alter emotional processing measured as valence-modification of the acoustic startle eye blink response during emotional picture viewing. Results: Compared to equally timed sessions of leg cycling exercise at self-selected intensity and quiet rest, yoga practice mitigated the increase in state anxiety elicited by picture viewing and subsequently protected against elevated anxiety during a second exposure to the emotional scenes. These effects were large enough (about one-half standard deviation) that they could be clinically meaningful. Yoga also attenuated the magnitude of the acoustic startle response to both pleasant and unpleasant picture content, but anxiety reduction after yoga was independent of the changes in startle response. Conclusion: The results extend past findings by showing that yoga practice mollifies anxiety elicited by emotionally arousing pictures without altering emotional processing.
Reduced Area and Low Power Square Root Carry Select Adder

Arithmetic operations are heart of computational units and data path logic systems. High performance power efficient adders occupying less chip area are necessary in battery powered portable devices. Square Root Carry Select Adder (SQRT CSLA) is one of the fastest adders as compared to all the existing adders. In the existing designs of SQRT CSLA there is possibility of reducing the power and area. In this work modification is carried out at the gate level to significantly reduce the area. The performance of the proposed modified design of SQRT CSLA in terms of delay, area, power and power delay product (PDP) is evaluated using Cadence tools using 0.18 µm CMOS technology. It is compared with the existing SQRT CSLAs for 8-bit, 16- bit, 32-bit and 64-bit on the same platform. Result analysis show that the proposed modified design for 64-bit is 34.28% more power efficient, occupies 19.32% less area than the regular SQRT CSLA with a slight increase in the delay.
Effect of stator resistance on average-value modeling of BLDC motor 120- degree inverter systems

For analysis and design of electromechanical systems with brushless dc motor drives, average-value modeling is often required. Many commonly used low-cost brushless dc motors operate with 120-degree inverter. The average-value modeling of such systems often ignores the commutation current and considers only the conduction interval. This paper uses a typical industrial BLDC machine to analyze the effect of stator resistance on the accuracy of a commonly used average-value model. It is shown that the model becomes less accurate for the motors with small stator resistance and significant commutation angle. However, reducing the electrical time constant of the stator winding increases the model accuracy in both time- and frequency-domains.
Direct laser writing of polyimide for flexible graphene photodetectors

Herein, we report a one-step laser writing method to form porous graphene on polyimide (PI), which is capable of broadband-spectral detection. By controlling different parameters of laser processed patterns, various samples were obtained. The comparative photoresponsivity and photocurrent curves of each porous graphene sample were obtained by conducting photoelectric testing at wavelength of 625 nm. The highest photoresponsivity obtained is 5.6´10-4 A/W, and the corresponding response and recovery times are 27 and 30 s. The method provides a new route to the fabrication of graphene photodetectors and promotes the development of future applications of optoelectronic devices in wearable and flexible electronics.
Orchestrating the dynamic adaptation of distributed software with process technology

Software systems are becoming increasingly complex to develop, understand, analyze, validate, deploy, configure, manage and maintain. Much of that complexity is related to ensuring adequate quality levels to services provided by software systems after they are deployed in the field, in particular when those systems are built from and operated as a mix of proprietary and non-proprietary components. That translates to increasing costs and difficulties when trying to operate large-scale distributed software ensembles in a way that continuously guarantees satisfactory levels of service. A solution can be to exert some form of dynamic adaptation upon running software systems: dynamic adaptation can be defined as a set of automated and coordinated actions that aim at modifying the structure, behavior and performance of a target software system, at run time and without service interruption, typically in response to the occurrence of some condition(s). To achieve dynamic adaptation upon a given target software system, a set of capabilities, including monitoring, diagnostics, decision, actuation and coordination, must be put in place. This research addresses the automation of decision and coordination in the context of an end-to-end and externalized approach to dynamic adaptation, which allows to address as its targets legacy and component-based systems, as well as new systems developed from scratch. In this approach, adaptation provisions are superimposed by a separate software platform, which operates from the outside of and orthogonally to the target application as a whole; furthermore, a single adaptation possibly spans concerted interventions on a multiplicity of target components. To properly orchestrate those interventions, decentralized process technology is employed for describing, activating and coordinating the work of a cohort of software actuators, towards the intended end-to-end dynamic adaptation. The approach outlined above, has been implemented in a prototype, code-named Workflakes, within the Kinesthetics eXtreme project investigating externalized dynamic adaptation, carried out by the Programming Systems Laboratory of Columbia University, and has been employed in a set of diverse case studies. This dissertation discusses and evaluates the concept of process-based orchestration of dynamic adaptation and the Workflakes prototype on the basis of the results of those case studies.
Disaster and New Adaptations: Digital Transformation in Public Services as an impact of the COVID-19 Pandemic in Indonesia

Public services in Indonesia have changed drastically due to COVID-19 Pandemic. However, the digitalization of public services has started to become a new trend as part of innovation. Many institutions improvise in providing public services by improving existing electronic-based public services. This study aims to describe the various digital transformation forms of public services and the main factors influencing success. This factor is the technological infrastructure that supports the implementation of electronic-based public services. Thus, this paper shows that digital transformation is strongly influenced by the availability of applications and social media that are forced to accommodate various online routines, including the provision of public services.
Enhancing Mechanistic–Empirical Pavement Design Guide Rutting-Performance Predictions with Hamburg Wheel-Tracking Results

To analyze the effects of mix production variability on pavement rutting, this paper compares predictions from the Mechanistic–Empirical Pavement Design Guide (MEPDG) with test results from the Hamburg wheel-tracking device (HWTD). An experiment was conducted during research to establish correlations effectively between the two methods. The experiment consisted of using volumetric data to model asphalt mixes and pavement structures in the MEPDG and to evaluate the sensitivity of these mixes in comparison to results obtained in the laboratory under the HWTD. The research study analyzed two limestone mixes: a coarse, dense-graded hot-mix asphalt (Type C) and a fine, dense-graded hot-mix asphalt (Type D), as defined in the 2004 Texas Department of Transportation Standard Specifications for Construction and Maintenance of Highways, Streets, and Bridges. The research found that the permanent deformation model embedded in the MEPDG supported the general performance trend observed in the laboratory under the HWTD. Both the MEPDG and the HWTD showed better performance for the Type C mix than for the Type D mix. However, the HWTD showed that small variations in mixture properties, such as mixture gradation within construction tolerance specifications and minor deviations from the optimum in binder content, had significant effects on pavement performance that were not captured by the MEPDG at a Level 2 mixture design. This finding suggests that laboratory results under the HWTD could be used to fine-tune the rutting performance models in the MEPDG until actual field performance data become available.
Sensorless control scheme based on sliding modes for interior permanent magnet synchronous motor

In this article, a sensorless speed control design for the interior permanent magnet synchronous motor based on sliding mode approach is proposed. The control objective is to drive the rotor speed to desired reference despite load torque disturbances and parameter uncertainties. The proposed control strategy combines a Sliding Mode Controller with an Adaptive Interconnected Observer design based on sliding mode techniques, which allows to estimate the rotor speed, the stator resistance and the load torque. Furthermore, experimental results, including a comparative study against schemes from literature, illustrate the robustness and performance of proposed approach.
Desired characteristics of continuing professional development for holistic academic development

ABSTRACT Academic development is increasingly complex and multi-faceted, and highly contextual. This study investigates why academic developers do what they do, within a continuing professional development (CPD) context. This qualitative research examines how six academic developers value their engagement in CPD and highlights five desired characteristics that form the basis for conceptualising and enacting a holistic approach to academic development. Findings show that academic development practice embraces concepts of dialogue, adaptive expertise, and connected communities with an emphasis on engaging with the disciplines and the larger purposes of higher education, as illuminated by the desired characteristics to sustain its value.
Forensic Application Evaluation of a Novel Canine STR System in Pembroke Welsh Corgi and Shiba Inu Groups

Aim To evaluate the forensic application values of 19 autosomal short tandem repeat (STR) loci in canines. Methods The 19 STR loci in two canine groups (Pembroke Welsh Corgis, n = 200; Shiba Inus, n = 175) were analysed by the capillary electrophoresis platform. The allele frequencies and forensic parameters were calculated, and the genetic relationships between these two canine groups and a previously reported Labrador group were analysed. Results These two canine groups conformed to the Hardy-Weinberg equilibrium at all STRs except for locus VGL3438 in the Pembroke Welsh Corgi group, and there was no linkage disequilibrium among pairwise loci at the 19 STRs. All STRs were polymorphic in the Pembroke Welsh Corgi and Shiba Inu groups, of which the locus C38 had the highest polymorphism. And it was found that the genetic relationship between the Pembroke Welsh Corgi and Labrador groups were closer in the three canine groups (Pembroke Welsh Corgi, Shiba Inu and Labrador). Conclusion The 19 STR loci had high genetic polymorphisms and forensic application values in Pembroke Welsh Corgi and Shiba Inu groups.
An Adaptive Model-Based Framework for Prognostics of Gas Path Faults in Aircraft Gas Turbine Engines

This paper presents an adaptive framework for prognostics in civil aero gas turbine engines, which incorporates both performance and degradation models, to predict the remaining useful life of the engine components that fail predominantly by gradual deterioration over time. Sparse information about the engine configuration is used to adapt a performance model, which serves as a baseline for implementing optimum sensor selection, operating data correction, fault isolation, noise reduction and component health diagnostics using nonlinear Gas Path Analysis (GPA). Degradation models, which describe the progression of faults until failure, are then applied to the diagnosed component health indices from previous run-to-failure cases. These models constitute a training library from which fitness evaluation to the current test case is done. The final remaining useful life (RUL) prediction is obtained as a weighted sum of individually evaluated RULs for each training case. This approach is validated using dataset generated by the Commercial Modular Aero-Propulsion System Simulation (CMAPSS) software, which comprises both training and testing instances of run-to-failure sensor data for a turbofan engine, some of which are obtained at different operating conditions and for multiple fault modes. The results demonstrate the capability of improved prognostics of faults in aircraft engine turbomachinery using models of system behavior, with continuous health monitoring data.
Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Model

Mapping evapotranspiration at high resolution with internalized calibration (METRIC) is a satellite-based image-processing model for calculating evapotranspiration (ET) as a residual of the surface energy balance. METRIC uses as its foundation the pioneering SEBAL energy balance process developed in The Netherlands by Bastiaanssen, where the near-surface temperature gradients are an indexed function of radiometric surface temperature, thereby eliminating the need for absolutely accurate surface temperature and the need for air-temperature measurements. The surface energy balance is internally calibrated using ground-based reference ET to reduce computational biases inherent to remote sensing-based energy balance and to provide congruency with traditional methods for ET. Slope and aspect functions and temperature lapsing are used in applications in mountainous terrain. METRIC algorithms are designed for relatively routine application by trained engineers and other technical professionals who possess a fami.
The Application of Regression Analysis for Estimating the Market Value of Commercial Real Estate

The transaction price of a land property with commercial buildings depends on both its quantitative and qualitative attributes. Quantitative attributes include surface areas of plots of land and usable floor spaces of premises and buildings with various intended purposes, as well as values of rents. Qualitative attributes are represented by the global attributes of these properties.In the analysis of the land property market with commercial buildings, all pairs that relate a transaction price to individual attributes are considered. The market value prediction is based on multiple regression analysis for a two-dimensional random variable, represented by the price and the predetermined attribute. The final market value of the property being valued is calculated as the weighted average of the market values predicted for each attribute.This research paper presents the procedure for determining the market value of land with commercial buildings, which falls within the method of statistical analysis of the market. The derived formulas and substantively justified algorithms may be the basis for market analysis and estimation of the market value of such land. This procedure has been thoroughly verified using two practical numerical examples.
Dynamic modelling and systematic control during the mode transition for a multi-mode hybrid electric vehicle

A smooth mode transition is critical for the driveability of hybrid electric vehicles and is difficult to achieve owing to transient intervention of torques from the engine, the electric machine and the transmission. This paper presents a systematic control strategy during transition from the motor-only mode to the compound driving mode of a multi-mode hybrid electric vehicle using one electric machine. The proposed strategy divides the mode transition process into four consecutive operating phases and employs a fuzzy gain-scheduling proportional–integral–derivative controller as feedback to adapt various non-linearities. Dynamic modelling of the vehicle system emphasizing the dynamics of the engine, the transmission, the clutches and the drive axle is conducted for validation simulation. Simulation results show that the mode transition controlled by the designed fuzzy gain-scheduling proportional–integral–derivative controller is completed in 700 ms with the vehicle jerk below 3.5 m/s3 and where the produced clutch frictional losses are only 56 J. The performance is better than those controlled by a conventional proportional–integral–derivative controller. A sensitivity study shows the proposed controller has good adaptability to disturbances caused by the changing road conditions, the uncertainties in engine system and the noise from clutch actuation.
The frequency dependence of urban man-made radio noise

A series of measurements in urban, suburban and city-centre areas has been conducted at frequencies in the range 40 MHz to 900 MHz. Analysis of the detected envelope of man-made noise in this frequency range has shown that notwithstanding the different experimental conditions, there is a general decrease in the level of noise as the monitoring frequency increases. At lower frequencies external noise is dominant but this is not the case at u.h. f. There is no evidence of a change in the fundamental character of manmade noise as frequency changes.