Miracle-dz/UniFAR-FTUs huggingface dataset:
Methodology of the process design of gross product output of an enterprise

1* Department of Applied Mathematics and Information Technologies. Pridniprovsk State Academy of Cyvil Engineering and Architecture. 24-a Chernishevskogo st. 49600, Dnipropetrovsk, Ukraine, tel. +38 (0567) 56-34-10, email: prmat@mail.pgasa. dp.ua ORCID ID: 0000-0001-5894-0642 2* Department of Applied Mathematics and Information Technologies. Pridniprovsk State Academy of Cyvil Engineering and Architecture. 24-a Chernishevskogo st. 49600, Dnipropetrovsk, Ukraine, tel. +38 (0567) 56-34-10, email: nersova107@gmail.com, ORCID ID: 0000-0003-0198-0883 3* Department of Applied Mathematics and Information Technologies. Pridniprovsk State Academy of Cyvil Engineering and Architecture. 24-a Chernishevskogo st. 49600, Dnipropetrovsk, Ukraine, tel. +38 (0567) 56-34-10, email: velmagina24@gmail.com ORCID ID: 0000-0002-5584-3748 Annotation. The methods for designing the process of gross product output of an enterprise, based on the stochastic method of dynamic programming for continuous deterministic systems was created. The selection of weight factors of quadratic quality functional was substantiated, the dependence between parameters of design and weight factors was established, and the region of optimum values of design parameters was determined, the optimal filter of the process of gross product output of an enterprise was obtained. Modeling of the process of gross product output with optimum values of coefficients of growth and retirement of basic production assets. Production capacity is determined by the output at the achieved level of organization and production technology. The shape of production capacity graphs changes noticeably even with minor changes in parameters, i.e., capacity is sensitive to changes in the state of a firm. Design parameters are determined by the matrix method of dynamic programming. Based on the concepts of observability and controllability, it has been established that the process of producing a gross product of an enterprise is subject to management. By modeling and calculations, it was proved that using the matrix method of dynamic programming, one can obtain analytical dependencies for growth and retirement coefficients, as well as calculate the regions of their optimal values, i.e. The production capacity of an enterprise can be the main indicator of the characteristics of the life cycle of an enterprise. The technique should be used when designing the process of producing a gross product of enterprises, its implementation will reduce the design time and ensure the stability of the process of producing a gross product.
VHDL-AMS Simulation Framework for Molecular-FET Device-to-Circuit Modeling and Design

We concentrate on Molecular-FET as a device and present a new modular framework based on VHDL-AMS. We have implemented different Molecular-FET models within the framework. The framework allows comparison between the models in terms of the capability to calculate accurate - characteristics. It also provides the option to analyze the impact of Molecular-FET and its implementation in the circuit with the extension of its use in an architecture based on the crossbar configuration. This analysis evidences the effect of choices of technological parameters, the ability of models to capture the impact of physical quantities, and the importance of considering defects at circuit fabrication level. The comparison tackles the computational efforts of different models and techniques and discusses the trade-off between accuracy and performance as a function of the circuit analysis final requirements. We prove this methodology using three different models and test them on a 16-bit tree adder included in Pentium 4 that, to the best of our knowledge, is the biggest circuits based on molecular device ever designed and analyzed.
Examining the Use of EMI in Primary and Secondary English Classes in Taiwan: Reflections on Participation in the WWU/NTNU Cloud Project

The purpose of this study is to examine the ​the impact of the 2017 Western Washington University and National Taiwan Normal University Cloud Project on the Taiwanese participants’ use of English as the medium of instruction in their primary and secondary English classrooms, as well as their teaching practices over the course of the program​. ​The participants were surveyed via Qualtrics, and data analysis was undertaken qualitatively using a combination of postcoding categories to identify common elements among the responses to open-ended survey questions. The majority cited an increase in English use in the classroom as a result of the Cloud Project. Similar to previous studies, the teachers found improved listening and speaking skills, increased confidence and motivation, improved pronunciation, and improved writing skills in their students. Participants also described instances in which they found code-switching to be helpful, such as when giving instructions, explaining grammar, or managing the classroom. Based on the results, implementation of EMI in primary and secondary English classrooms can help to eliminate the English achievement gap between rural and urban areas in Taiwan.
Contribution to the Reduction of Annealing Processes in the Manufacturing of Valve Solenoids by Using Inline Measuring Technology in the Caulking Process

Electromagnetic actors (solenoids) are used in automotive and automation technology as valve actors for pneumatics and hydraulics or as actuating and pressure solenoids. During assembly there are often press-in and caulking processes used. A central quality aspect of the final control elements is the adherence to defined actuating force ranges in order to ensure the switching process and at the same time to keep wear within limits. These defined force ranges can currently only be maintained by additional heat treatment of the parts. The hysteresis of the assembled unit can be influenced by the caulking. The objective of this paper is to propose the potential reduction of annealing processes by revealing the interdependencies between the magnetic interactions of the individual components and the assembly process parameters. In addition, errors in the caulking process are detected and prevented at an early stage. A magnetic characterization of the soft magnetic components and assemblies before and during their assembly is proposed. Furthermore, the integration of the measurement data into a process control system is intended. The precondition is the development and construction of measuring equipment and systems that can be used to assess the magnetic properties at an early stage of assembly. The assembly can then be adjusted in order to compensate batch fluctuations. As a consequence new materials can be used to eliminate complex annealing processes prior to assembly.
DC Gate Leakage Current Model Accounting for Trapping Effects in AlGaN/GaN HEMTs

A DC leakage current model accounting for trapping effects under the gate of AlGaN/GaN HEMTs on silicon has been developed. Based on TCAD numerical simulations (with Sentaurus Device), non-local tunneling under the Schottky gate is necessary to reproduce the measured transfer characteristics in a subthreshold regime. Once the trap concentration and distribution are determined in the device, the resulting gate leakage current is modeled making use of Verilog-A, for typical operation regimes.
A Study of Phase Noise and Frequency Error of a Fractional-N PLL in the Course of FMCW Chirp Generation

This paper presents the theoretical and experimental results on the phase noise spectrum and the rms frequency error of a fractional-N phase-locked loop (PLL) under frequency-modulated continuous-wave (FMCW) chirp generation. The phase noise spectrum under modulation is analytically calculated for a second-order charge pump PLL with a feedback divider ratio linearly changing over time. This is followed by an analysis of the steady-state rms frequency error of the output frequency after PLL settling is achieved during chirp generation. A fractional-N PLL with integrated frequency ramp generator is presented. Phase noise and jitter measurements on the PLL under modulation are performed at the output of the programmable feedback divider. The resulting low-frequency rms jitter is reduced by about 9dB with doubling the charge pump current, and reduced by about 6dB with halving the ramp slope. The rms frequency error under FMCW modulation is measured at the modulated voltage-controlled oscillator output. The dependence of the frequency error on the loop filter capacitance for various ramp slopes is given. A frequency error of 112kHz is achieved with a ramp slope of 1.28GHz/80 $\mu \text{s}$ at a carrier frequency of 62GHz. The noise measurements are in good agreement with the developed phase noise model. A programmable loop filter capacitance is suggested to accommodate the static phase offset and the resulting noise performance to the ramp slope.
Kinetic Study on the Pyrolysis of Medium Density Fiberboard: Effects of Secondary Charring Reactions

The reaction models employed in the kinetic studies of biomass pyrolysis generally do not include the secondary charring reactions. The aim of this work is to propose an applicable kinetic model to characterize the pyrolysis mechanism of medium density fiberboard (MDF) and to evaluate the effects of secondary charring reactions on estimated products yields. The kinetic study for pyrolysis of MDF was performed by a thermogravimetric analyzer over a heating rate range from 10 to 40 °C/min in a nitrogen atmosphere. Four stages related to the degradation of resin, hemicellulose, cellulose, and lignin could be distinguished from the thermogravimetric analyses (TGA). Based on the four components and multi-component parallel reaction scheme, a kinetic model considering secondary charring reactions was proposed. A comparison model was also provided. An efficient optimization algorithm, differential evolution (DE), was coupled with the two models to determine the kinetic parameters. Comparisons of the results of the two models to experiment showed that the mass fraction (TG) and mass loss rate (DTG) calculated by the model considering secondary charring reactions were in better agreement with the experimental data. Furthermore, higher product yields than the experimental values will be obtained if secondary charring reactions were not considered in the kinetic study of MDF pyrolysis. On the contrary, with the consideration of secondary charring reactions, the estimated product yield had little error with the experimental data.
Efficient Direct-Model Predictive Control With Discrete-Time Integral Action for PMSGs

This paper presents an efficient direct-model predictive control (EDMPC) technique for surface-mounted permanent-magnet synchronous generators (PMSGs) in variable-speed wind energy conversion systems. The proposed control technique is based on directly computing the reference voltage vector (VV) from the demanded currents using a deadbeat (DB) function. Then, a discrete-time integral action (DTIA) is added to this DB function to enhance the robustness of the proposed EDMPC scheme against variations of the machine parameters and to achieve a good steady-state response. The proposed DTIA is simple and easy to implement. Finally, according to the location of this reference VV, two evaluations of the quality function are only required. Accordingly, the proposed EDMPC technique with DTIA overcomes the following drawbacks of the conventional direct-model predictive control (DMPC): high calculation burden, sensitivity to parameters mismatches, and non-zero steady-state error. The performance of the proposed EDMPC technique with DTIA has been experimentally investigated and compared with that of the EDMPC with time delay control approach and with the performance of the convention DMPC using a $\text{14.5}\,\text{kW}$ PMSG.
Mathematical Modeling, Simulation and Experimental Testing of Interior-Mount LSPMSM Under Stator Inter-Turn Fault

Accurate modeling is the first step in developing a model-based diagnostics tool for different types of failures in electric motors. In this paper, a mathematical model for an interior-mount line start permanent magnet synchronous motor (LSPMSM) under the stator inter-turn fault is developed based on the principles of magnetic coupled circuit theory, electromechanical energy conversion and reference frame theory. The developed mathematical model is simulated using MATLAB and experimentally validated using a 1-hp, 4-pole, 400-V LSPMSM. To investigate the performance of the motor under the stator inter-turn fault at different loading levels, experimental and simulation results are compared and analyzed for both transient and steady-state responses of the current and speed. The simulation and experimental results are in very good agreement and show that under the stator inter-turn fault, the current magnitude and time response of the phase that contains the inter-turn are highly affected. In addition, due to asymmetry in the stator windings under this fault, the speed experiences some oscillations at steady state. Hence, the developed model can be used to detect the possibility and location of the stator inter-turn fault in an LSPMSM.
Network Model of Shielded Cables for the Analysis of Conducted Immunity and Emissions

In this paper, a network model for a shielded coaxial cable with a single braid placed above a ground plane is presented. The model is developed on a SPICE basis, taking into account the coupling from the outer system between the screen and the ground to the inner system between the core and the screen, and vice versa. The model enables determining the common-mode current on the cable shield. It considers the boundary conditions at the cable ends and can thus be integrated into circuits for conducted immunity and emission simulation. An immunity test can be simulated by applying a disturbance voltage or current to the shielding ends. The model can be used in the time domain along with non-linear elements or in the frequency domain. The cable is not divided into segments, and no inverse Fourier transform is applied. The results of the model are in good agreement with those of the measurements and the numerical simulations.
Query Optimization For Performance Gain With Index Joins In Hive

--Index joins is crucial for efficiency and adaptability when processing queries in big data. HIVE is a batch oriented big data management engine which is well accepted for data analysis applications and for an OLAP. For very “selective” queries whose outputs are tiny fraction from the data contribution, there the brute-force suffers with poor performance because of dispensable disk I/O operations or lead to initiations of added map operations. Here, An attempt is made and propose to speed up the query process and integrate it with index joins technique in Hive by mapping our design to the ideational optimization flow. To evaluate the performance, we generate and estimate test queries on datasets generated using TPC-H benchmark. And the results indicate notable performance gain over proportional large data sets and /or highly select queries having a two-way join and a single join condition.
An Image Recognition-Based Approach to Actin Cytoskeleton Quantification

Quantification of the actin cytoskeleton is of prime importance to unveil the cellular force sensing and transduction mechanism. Although fluorescence imaging provides a convenient tool for observing the morphology of the actin cytoskeleton, due to the lack of approaches to accurate actin cytoskeleton quantification, the dynamics of mechanotransduction is still poorly understood. Currently, the existing image-based actin cytoskeleton analysis tools are either incapable of quantifying both the orientation and the quantity of the actin cytoskeleton simultaneously or the quantified results are subject to analysis artifacts. In this study, we propose an image recognition-based actin cytoskeleton quantification (IRAQ) approach, which quantifies both the actin cytoskeleton orientation and quantity by using edge, line, and brightness detection algorithms. The actin cytoskeleton is quantified through three parameters: the partial actin-cytoskeletal deviation (PAD), the total actin-cytoskeletal deviation (TAD), and the average actin-cytoskeletal intensity (AAI). First, Canny and Sobel edge detectors are applied to skeletonize the actin cytoskeleton images, then PAD and TAD are quantified using the line directions detected by Hough transform, and AAI is calculated through the summational brightness over the detected cell area. To verify the quantification accuracy, the proposed IRAQ was applied to six artificially-generated actin cytoskeleton mesh work models. The average error for both the quantified PAD and TAD was less than 1.22 ∘ . Then, IRAQ was implemented to quantify the actin cytoskeleton of NIH/3T3 cells treated with an F-actin inhibitor (latrunculin B). The quantification results suggest that the local and total actin-cytoskeletal organization became more disordered with the increase of latrunculin B dosage, and the quantity of the actin cytoskeleton showed a monotonically decreasing relation with latrunculin B dosage.
Impact Force Reduction Strategies To Achieve Safer Human-Robot Collisions

—The increasing use of robots operating close to people has made human-robot collisions more likely. In this paper, strategies intended to reduce the impact force to a safe level, without sacrificing the robot’s performance, are investigated. The strategies can be applied to a robot arm without modifying its internal hardware. They include the existing strategies: lowering the actuator controller’s stiffness; actuator switched off upon impact detection; withdrawing the arm upon impact detection; and adding a compliant cover. We also propose the novel strategy of limiting the controller’s feedback term. The collision scenario studied is a robot arm colliding with a person’s constrained head. An improved lumped parameter model of the constrained impact is proposed. Simulation results are included for a UR5 collaborative robot. Sixteen combinations of the impact force reduction strategies are compared. The results show that using a high stiffness controller with a feedback limit and compliant cover reduces the impact force to a safe level, and achieves precise trajectory tracking.
Zephyr Topology of D-Wave Quantum Processors TECHNICAL REPORT

This paper presents an overview of the topology of D-Wave’s upcoming generation of quantum annealing processors. It provides examples of minor embeddings and discusses performance of embedding algorithms for the new topology compared to the existing Chimera and Pegasus topologies. It also presents some initial performance results for simple, standard Ising model classes of problems.
We Need a Replacement for TCP in the Datacenter

In spite of its long and successful history, TCP is a poor transport protocol for modern datacenters. Every signiﬁcant element of TCP, from its stream orientation to its requirement of in-order packet delivery, is wrong for the datacenter. It is time to recognize that TCP’s problems are too fundamental and interrelated to be ﬁxed; the only way to harness the full performance potential of modern networks is to introduce a new transport protocol into the datacenter. Homa demonstrates that it is possible to create a transport protocol that avoids all of TCP’s problems. Although Homa is not API-compatible with TCP, it should be possible to bring it into widespread usage by integrating it with RPC frameworks.
Robust Phi-Divergence MDPs

In recent years, robust Markov decision processes (MDPs) have emerged as a prominent modeling framework for dynamic decision problems affected by uncertainty. In contrast to classical MDPs, which only account for stochasticity by modeling the dynamics through a stochastic process with a known transition kernel, robust MDPs additionally account for ambiguity by optimizing in view of the most adverse transition kernel from a prescribed ambiguity set. In this paper, we develop a novel solution framework for robust MDPs with s-rectangular ambiguity sets that decomposes the problem into a sequence of robust Bellman updates and simplex projections. Exploiting the rich structure present in the simplex projections corresponding to phi-divergence ambiguity sets, we show that the associated s-rectangular robust MDPs can be solved substantially faster than with state-of-the-art commercial solvers as well as a recent first-order solution scheme, thus rendering them attractive alternatives to classical MDPs in practical applications.
Multi-objective ranking with directions of preferences

Recently, gradient based multi-objective optimization methods have been developed to find models that are aligned with preference directions (MOO-PD) in machine learning community. Most of the methods are tuned and tested with multi-task learning problems in computer vision tasks with deep neural networks. While MOO-PD is useful in building a model with user specified MOO criteria, there is no existing work in the learning-to-rank (LTR) applications with gradient boosted ranking trees (GBRT), which is a popular method in LTR especially in production systems. Hence, there is no evidence demonstrating that existing MOO-PD methods work well for LTR. In this paper, we apply several MOO-PD methods such as the Exact Pareto Optimal search, etc. to LTR. Further, to quantify model performance on MOO-PD, we propose a novel model evaluation metric, which is referred to as the maximum weighted loss. Through experiments, we reveal common challenges with MOO-PD methods, and propose a smoothing technique to address the challenges. The revised algorithms are shown to significantly improve the empirical performance on both public and proprietary datasets, indicating that we now have a realistic way to build MOO-PD models in GBRT, which may benefit many application use cases in practice.
DIVERSITY OF FRESHWATER ROTIFER IN VEINTHANKULAM POND, TIRUNELVELI, TAMILNADU

: The Veinthankulam pond is selected for present-day study and it is the only lentic freshwater in Tirunelveli District. Qualitative collections were done by towing surface water column, quantitative zooplankton samples were collected by filtering 50 lots of water through a zooplankton net made bolting silk 100 microns mesh size. were observed. Filinia longiseta, Keratella sp. Brachionus calyciflorus, Brachionus caudatus, Keratella valga, Conochilus, Brachionus forficula, Lecanelunaris, Dipleuchlanis propatula , Philodina sp. and Rotaria neptunia
Off-diagonal ground-state properties of a one-dimensional gas of Fermi hard rods

A variational Monte Carlo calculation of the one-body density matrix and momentum distribution of a system of Fermi hard rods (HR) is presented and compared with the same quantities for its bosonic counterpart. The calculation is exact within statistical errors since we sample the exact ground state wave function, whose analytical expression is known. The numerical results are in good agreement with known asymptotic expansions valid for Luttinger liquids. We find that the difference between the absolute value of the bosonic and fermionic density matrices becomes marginally small as the density increases. In this same regime, the corresponding momentum distributions merge into a common profile that is independent of the statistics. Non-analytical contributions to the one--body density matrix are also discussed and found to be less relevant with increasing density.