Miracle-dz/UniFAR-FTUs huggingface dataset:
Automated Mask Creation From A 3D Model Using Faethm

We have developed and implemented a method which given a three-dimensional object can infer from topology the two-dimensional masks needed to produce that object with surface micro-machining. The masks produced by this design tool can be generic, process independent masks, or if given process constraints, specific for a target process. This design tool calculates the two-dimensional mask set required to produce a given three-dimensional model by investigating the vertical topology of the model.
An ADMM Approach to Distributed Optimization in Distribution System Considering Fairness among Consumers

In recent years, the installation of distributed energy resources such as photovoltaic(PV) generations progresses. However, in a distribution system with many distributed energy resources, the voltage of the distribution line rises due to the increase of reverse power flow. Therefore, many optimization methods related to voltage control are widely studied. Particularly, the application of distributed optimization is attracting attention because the centralized control is not suitable due to the security issue for consumers and the difficulty of calculating for a large scale system. The conventional studies control real power outputs and/or reactive power outputs of power conditioning systems to minimize power losses or maximize the total real power output in the line. However, the fairness among the consumers is not considered there. In this paper, we propose a distributed optimization model using the alternating direction method of multipliers (ADMM) and the ractive power control to assure the fairness of real and reactive power outputs among consumers.
Automatic ear recognition by force field transformations

The objective in defining feature space is to reduce the dimension of pattern space yet maintaining discriminatory power for classification, together with invariant description. To meet this objective in the context of ear biometrics a novel force field transformation has been developed in which the image is treated as an array of Gaussian attractors that act as the source of a force field. The directional properties of the force field are exploited to automatically locate a small number of potential energy wells and channels that form the basis of the ear description. This has been applied to a small database of ears and initial results show that the new approach can be used for automatic ear recognition.
Financial-Economic Time Series Modeling and Prediction Techniques – Review

Financial-economic time series distinguishes from other time series because they contain a portion of uncertainity. Because of this, statistical theory and methods play important role in their analysis. Moreover, external influence of various parameters on the values in time series makes them nonlinear, which on the other hand suggests employment of more complex techniques for ther modeling. To cope with this challenging problem many researchers and scientists have developed various models and techniques for analysis of financial-economic time series and forecasting of the future trends, both linear and non-. This paper aims at reviewing current state-of-the-art techiques for financial-economic time series analysis and forecasting.
Automated and Adaptive Geometry Preparation for AR/VR-Applications

Product visualization in AR/VR applications requires a largely manual process of data preparation. Previous publications focus on error-free triangulation or transformation of product structure data and display attributes for AR/VR applications. This paper focuses on the preparation of the required geometry data. In this context, a significant reduction in effort can be achieved through automation. The steps of geometry preparation are identified and examined with respect to their automation potential. In addition, possible couplings of sub-steps are discussed. Based on these explanations, a structure for the geometry preparation process is proposed. With this structured preparation process it becomes possible to consider the available computing power of the target platform during the geometry preparation. The number of objects to be rendered, the tessellation quality and the level of detail can be controlled by the automated choice of transformation parameters. We present a software tool in which partial steps of the automatic preparation are already implemented. After an analysis of the product structure of a CAD file, the transformation is executed for each component. Functions implemented so far allow, for example, the selection of assemblies and parts based on filter options, the transformation of geometries in batch mode, the removal of certain details and the creation of UV maps. Flexibility, transformation quality and time savings are described and discussed.
Repercussions of COVID-19 on the Indian stock market

The present paper determines the repercussions of the coronavirus on the Indian financial markets by taking the eight sectoral indices into account. By taking the sectoral indices into account, the study deduces the impact of virus outbreak on the various sectoral indices of the Indian stock market. Employing Welch's t-test and Non-parametric Mann-Whitney U test, we empirically analysed the daily returns of eight sectoral indices: Nifty Auto, Nifty FMCG, Nifty IT, Nifty Media, Nifty Metal, Nifty Oil and Gas, Nifty Pharma, and Nifty Bank. The results unveiled that pandemic had a negative impact on the automobile, FMCG, pharmaceuticals, and oil and gas sectors in the short run. In the long run, automobile, oil and gas, metals, and the banking sector have suffered enormously. The results further unveiled that no selected indices underperformed the domestic average, except NIFTY Auto.
Main effects screening: a distributed continuous quality assurance process for monitoring performance degradation in evolving software systems

Developers of highly configurable performance-intensive software systems often use a type of in-house performance-oriented "regression testing" to ensure that their modifications have not adversely affected their software's performance across its large configuration space. Unfortunately, time and resource constraints often limit developers to in-house testing of a small number of configurations and unreliable extrapolation from these results to the entire configuration space, which allows many performance bottlenecks and sources of QoS degradation to escape detection until systems are fielded. To improve performance assessment of evolving systems across large configuration spaces, we have developed a distributed continuous quality assurance (DCQA) process called main effects screening that uses in-the-field resources to execute formally designed experiments to help reduce the configuration space, thereby allowing developers to perform more targeted in-house QA. We have evaluated this process via several feasibility studies on several large, widely-used performance-intensive software systems. Our results indicate that main effects screening can detect key sources of performance degradation in large-scale systems with significantly less effort than conventional techniques.
POWER BALANCING OPTIMAL SELECTIVE FORWARDING SCHEME IN WIRELESS SENSOR NETWORKS

Power management is the primary concern in wireless sensor network because the energy is limited. In many cases sensor node batteries cannot be easily refilled, however in some application the facility is available to recharge the sensor node by other mean like harvesting node or the energy from environment like solar energy but these are not enough thus we can say that nodes have a limited energy. Thus it is very necessary to send the message in limited energy. There are two types of transmission non selective transmission and selective transmission. In selective transmission also different cases are available. Now we are going to shows the comparative study of different selective forwarding scheme used to transmit the important message to the destination.
Development of a Human Activity Recognition System Using Inertial Measurement Unit Sensors on a Smartphone

Monitoring an individual's mobility with a modern smartphone can have a profound impact on rehabilitation in the community. The thesis objective was to develop and evaluate a third-generation Wearable Mobility Monitoring System (WMMS) that uses features from inertial measurement units to categorize activities and determine user changes-of-state in daily living environments. A custom suite of MATLAB® software tools were developed to assess the previous WMMS iteration and aid in third-generation WMMS algorithm construction and evaluation. A rotation matrix was developed to orient smartphone accelerometer components to any three-dimensional reference, to improve accelerometer-based activity identification. A quaternion-based rotation matrix was constructed from an axis-angle pair, produced via algebraic manipulations of acceleration components in the device's body-fixed reference frame. The third-generation WMMS (WMMS3) evaluation was performed on fifteen able-bodied participants. A BlackBerry Z10 smartphone was placed at a participant's pelvis, and the device was corrected in orientation. Acceleration due to gravity and applied linear acceleration signals on a BlackBerry Z10 were then used to calculate features that classify activity states through a decision tree classifier. The software tools were then used for offline data manipulation, feature generation, and activity state prediction. Three prediction sets were conducted. The first set considered a " phone orientation independent " mobility assessment of a person's mobile state. The second set differentiated immobility as sit, stand, or lie. The third prediction set added walking, climbing stairs, and small standing movements classification. Sensitivities, specificities and 1 F-Scores for activity categorization and changes-of-state were calculated. The mobile versus immobile prediction set had a sensitivity of 93% and specificity of 97%, while the second prediction set had a sensitivity of 86% and specificity of 97%. For the third prediction set, the sensitivity and specificity decreased to 84% and 95%-iii-respectively, which still represented an increase from 56% and 88% found in the previous WMMS. The third-generation WMMS algorithm was shown to perform better than the previous version in both categorization and change-of-state determination, and can be used for rehabilitation purposes where mobility monitoring is required. -iv
Bandwidth-Based Wake-Up Radio Solution through IEEE 802.11 Technology

IEEE 802.11 consists of one of the most used wireless access technologies, which can be found in almost all consumer electronics devices available. Recently, Wake-up Radio (WuR) systems have emerged as a solution for energy-efficient communications. WuR mechanisms rely on using a secondary low-power radio interface that is always in the active operation mode and is in charge of switching the primary interface, used for main data exchange, from the power-saving state to the active mode. In this paper, we present a WuR solution based on IEEE 802.11 technology employing transmissions of legacy frames by an IEEE 802.11 standard-compliant transmitter during a Transmission Opportunity (TXOP) period. Unlike other proposals available in the literature, the WuR system presented in this paper exploits the PHY characteristics of modern IEEE 802.11 radios, where different signal bandwidths can be used on a per-packet basis. The proposal is validated through the Matlab software tool, and extensive simulation results are presented in a wide variety of scenario configurations. Moreover, insights are provided on the feasibility of the WuR proposal for its implementation in real hardware. Our approach allows the transmission of complex Wake-up Radio signals (i.e., including address field and other binary data) from legacy Wi-Fi devices (from IEEE 802.11n-2009 on), avoiding hardware or even firmware modifications intended to alter standard MAC/PHY behavior, and achieving a bit rate of up to 33 kbps.
Effect of Some Fabric and Sewing Conditions on Apparel Seam Characteristics

Many previous studies showed that seam appearance as well as performance depends on the interrelationship of fabrics, threads, and the stitch/seam selection and lastly on the sewing conditions, which include the needle size, needle thread tension, stitch density, and the appropriate operation and maintenance of the sewing machine. Present investigation elucidates the effect of blend composition, sewing thread size, and sewing needle parameters on garment seam characteristics (i.e., seam strength, seam strength efficiency, seam puckering, seam stiffness, and drape coefficient). The seam quality characterization is studied through the L9 orthogonal design methodology. In good quality apparels, compatibility of the seams with the functional requirement is very important for serviceability and life of the apparel. Reversibility as well as repairing of seams in the apparel is very limited in the condition of seam failure. Seam strength efficiency is higher for the uniform fiber matrix in the structure of fabrics. The polyester dominated suiting fabrics give minimum seam stiffness because polyester component has low flexural rigidity. The cotton dominated suiting fabrics have less seam puckering due to increase in fabric stiffness.
An Evaluation of the Nuclear Fuel Performance Code BISON

BISON is a modern finite-element based nuclear fuel performance code that has been under development at the Idaho National Laboratory (USA) since 2009. The code is applicable to both steady and transient fuel behavior and is used to analyze either 2D axisymmetric or 3D geometries. BISON has been applied to a variety of fuel forms including LWR fuel rods, TRISO-coated fuel particles, and metallic fuel in both rod and plate geometries. Code validation is currently in progress, principally by comparison to instrumented LWR fuel rods and other well known fuel performance codes. Results from several assessment cases are reported, with emphasis on fuel centerline temperatures at various stages of fuel life, fission gas release, and clad deformation during pellet clad mechanical interaction (PCMI). BISON comparisons to fuel centerline temperature measurements are very good at beginning of life and reasonable at high burnup. Although limited to date, fission gas release comparisons are very good. Comparisons of rod diameter following significant power ramping are also good and demonstrate BISON's unique ability to model discrete pellet behavior and accurately predict clad ridging from PCMI. (authors)
Analysis of a novel method of current sharing in a resistive lightning protection terminal

Summary form only given as follows. A new method, which simulates the lightning channel as a series network of R-C circuits, has been proposed by E. Pan and A.C. Liew. It successfully calculates the return stroke current with various added resistance values at the base of the lightning channel. The calculation shows that the peak current and current risetime along the channel are strongly influenced by the added resistance element at ground level. However, the larger voltage across this resistance element may cause the flashover along its surface and result in failure of current limiting. This paper describes the analysis and simulation of a novel method of current sharing following the termination of a lightning stroke onto a resistive lightning protection terminal. Such a system of resistance elements is essential to ensure that surface flashover does not occur across lightning rods and current limiting is successful.
Non-parametric treatment time-lag effect estimation

In general, the change point problem considers inference of a change in distribution for a set of time-ordered observations. This has applications in a large variety of fields, and can also apply to survival data. In survival analysis, most existing methods compare two treatment groups for the entirety of the study period. Some treatments may take a length of time to show effects in subjects. This has been called the time-lag effect in the literature, and in cases where time-lag effect is considerable, such methods may not be appropriate to detect significant differences between two groups. In this paper, we propose a novel non-parametric approach for estimating the point of treatment time-lag effect by using an empirical divergence measure. Theoretical properties of the estimator are studied. The results from the simulated data and the applications to real data examples support our proposed method.
Internet-Based Medical Service Use and Eudaimonic Well-Being of Urban Older Adults: A Peer Support and Technology Acceptance Model

Currently, internet services are developing rapidly, and the relationship between specific types of internet services and the well-being of older adults is still unclear. This study took a total of 353 urban older adults aged 60 years and above as research objects to explore the impact of the use behavior toward internet-based medical services (IBMS) on their well-being through an online questionnaire. This study integrated well-being theory and peer support theory, constructed an extended structural equation model of technology acceptance based on the technology acceptance model (TAM), and analyzed the variable path relationship. The results confirm the proposed model: older adults improved their eudaimonic well-being through using IBMS; perceived usefulness significantly affected the older adults’ attitudes towards IBMS; perceived ease of use significantly affected the use of IBMS through mediation; peer support significantly affected older adults’ attitudes, willingness, actual use, and well-being in the process. This study proposes that facilitating IBMS use for older adults in the development and design of internet technology programs should be considered in order to provide them with benefits. Moreover, paying attention to peer support among older adults plays an important role in the acceptance of new technologies and improving their well-being. The “peer support” of this study expanded and contributed to the research on the impact on older adults’ well-being and the construction of a technology acceptance model. The peer support in this study extended the influence factor of eudaimonic well-being and contributed to the further development of the TAM.
Population Genetics and Spatial Ecology of Bobcats (Lynx rufus) in a Landscape with a High Density of Humans in New England

Abstract - Lynx rufus (Bobcat) is a wide-ranging and highly adaptable predator whose populations are increasing throughout much of its natural range including in the New England states, yet there are only limited empirical ecological studies there. How Bobcats are responding to the unique modern landscape of southern New England with its highly forested landscape coupled with high density of humans is unknown. This lack of spatial and population ecological information impedes evaluating recovery and management objectives and identifying necessary management actions. Our objectives were to better understand the spatial and population structure of Bobcats in Rhode Island. We specifically examined space use, resource selection, and population genetics. We trapped Bobcats across 5 field seasons from April 2015 to March 2019, totaling 2232 trap nights. We captured 8 Bobcats, equipped GPS collars to a subset (n = 3), and collected locations for 4 to 9 months. We used GPS locations to estimate annual and seasonal home-range size and individual-level seasonal resource selection within the home range for each individual. Further, we used tissue samples collected from trapped individuals and opportunistically collected roadkill (n = 30) to examine the population genetic structure and effective population size of Bobcats in the state. We found the mean winter and summer home-range sizes were 219.3 km2 and 51.7 km2, respectively. Bobcats selected for forested wetland habitats and were associated with areas closer to wetlands and young forests, according to resource-selection models. They also selected for areas with higher road densities, yet avoided developed areas. We found that Bobcats in Rhode Island are part of 1 genetic population and estimated their effective population size to be 82 individuals (95% CI: 44–329). Our study highlights the importance of examining a widely distributed species at a local scale in order to employ evidence-based management practices.
A Study on the Damageability Issue in the Design of Steel Moment Resisting Frames

This paper is initially associated with critical comparisons of Steel Moment Resisting Frames using European and American code methodologies, wherein capacity design philosophyis recommended for the design of steel frames and in which steel is used smartly and efficiently, thereby ensuring the assumed ductility of the system. Interested philosophical concepts have been laid down which are based on the observed issues during the design phase of moment resisting frames. After the application of capacity rules, the primary concern for most of the designers is the lateral stiffness of the frames. Therefore the vital influential parameters of these codes are the response modification factors/behaviour factors, overstrength factors and drift limitations. This research is aimed to disseminate the awareness about the discrepancy between damageability and ductility and thus to mitigate the complexities that exist as hidden inconsistencies during the design phase of MRFs. The here presented philosophical con- cepts and ideas could be handy and interesting for the Technicians involved in the design of Steel MRFs. Few suggested values are presented at the end of the paper in diminishing challenges while making deciding for ductility class and drift limit.
The preliminary investigation of system reliability and maintainability to develop availability sound designs

Due to the increasing complexity of modern engineering systems, availability is more and more emphasized when systems are used. In order to develop availability sound products, this paper presents a supporting method to evaluate the reliability and maintainability of the feasible solution in the early design phase. The evaluation is implemented based on some scaling factors that are determined according to the differences of the involved engineering activities between the feasible solution and an existing system. The engineering activities are constructed from three aspects: the complexity of product itself, the maturity of product in production and the related factors of product in use. Once the scaling factors are decided, the mean time between failure and the mean time to repair of a design are then estimated according to the data in failure and in maintenance of the known system. No sooner than the mean time between failure and the mean time to repair of a design are established, its availability in future use can also be calculated. Subsequently, the information is considered with the total cost estimation of the system for selecting the optimal one among the feasible solutions. Plausibly, the availability sound designs would be more easily achieved as well as the specified availability goal being further obtained by the design trade-off analysis.