Miracle-dz/UniFAR-FTUs huggingface dataset:
Reconfiguration of the Shipboard Power System Based on Particle Swarm Optimization with Non-Clique Topology

The modern shipboard power system integrates heavy loads and has less fault tolerance than the terrestrial power system. Therefore, a fast and high-performance reconfiguration is needed when a fault occurs. This paper proposes a method to achieve a rapid and optimal reconfiguration for shipboard power system. This method at first employs graph theory to generate the topology of particles, which can construct a non-Clique topology. Then, the particle swarm optimization algorithm with the non-Clique topology is used to improve the restoration scheme while considering constraints. The proposed Particle Swarm Optimization algorithm enables to find the optimal combination of loads that can be supplied after the occurrence of the fault.
A novel simulation technique of the PV generation system using real weather conditions

The photovoltaic (PV) generation system has been studied and watched with keen interest as a clean energy source. Moreover, the various MPPT control methods are proposed to more efficient utilized. Now, in order to confirm the effectiveness of each control method, simulation or experimental analysis is used. Here, from an economical point of view, simulation analysis is more effective. However, the more detailed model of a solar cell for simulation is necessary. In this paper, a novel simulation analysis method of the PV generation system with VI characteristics equation of a solar cell and real weather condition is proposed. Here, ATP is used as the simulation analysis software. We compared the results from the simulation analysis with the experimental one. Consequently, two values were very matched and the validity of the proposed method is examined. The result shows that the cost effective verification for the efficiency, availability and stability of the PV generation systems. The comparison research of various control methods like MPPT control under the same weather conditions is possible.
Stigmergic, Diegetic Guidance of Swarm Construction

No matter how autonomous a technical system is, in the end, the goals it is meant to serve are specified by humans. This also applies to systems implementing self-organized construction. In this paper, we present an approach to guide such systems by means of an accessible spatial user interface. We inferred its basic requirements from a previously published taxonomy on interactive self-organizing systems. We found solutions to these requirements that we could all realize based on the very simple idea to instruct all aspects of a swarm by means of spatially placed control points, innovating preceding virtual pheromone approaches. We implemented a very simple, yet effective model of a terrain-shaping swarm to test the guidance approach and to manually explore the generative space.
Analysis of Hybrid Diesel-Biogas for Palm Oil Mill Electrification and Environmental Sustainability

This paper presents an economic analysis of the hybrid diesel-biogas plant for the electrification of palm oil mills and the reduction of greenhouse gas emissions. A palm oil factory load in remote Sumatra area is used as a case study. The optimization configuration, economic and environmental aspects were analyzed using HOMER software. The optimization result obtained 78.7% of total electricity is supplied by hybrid diesel-biogas generators with net present cost (NPC) of IDR 130,693 million and cost of energy (CoE) of IDR 2,142 /kWh. The operating cost of the system is relatively low due to a reduction of diesel fuel consumption. The hybrid system also reduced greenhouse gases emission compared to non-renewable power system. Environmental sustainability is obtained through efforts to increase biogas power generation and reduce the use of non-renewable power system.
Simulation analysis of defect repair methods for EUVL Mo/Si multilayer mask blanks

The availability of defect-free masks is a critical concern in EUV lithography. An intensive investigation of defect repair methods for EUVL mask blanks is required because the mitigation of defects has turned out to be much more difficult than anticipated. We investigated the effect of four methods through accurate simulations employing the FDTD method: 1) scooping a multilayer for amplitude defects, 2) EB exposure for phase defects, 3) covering a defect with an absorber pattern, and 4) making intrusions in the absorber pattern near a defect. These methods create structural changes in the masks themselves. We calculated the aerial images of masks with such changes and compared them with that of a perfect mask. It was found that all the methods suppress the degradation in light intensity caused by defects. At the same time, each repair method has some limitations and factors that require special attention. Thus, it is important to choose the most suitable repair method for a given defect.
Optoelektronische Erfassung und rechnerunterstützte Analyse der Mikrozirkulations-Rhythmik

Es exist iert eine Reihe von Untersuchungsmcthoden , die sich mit dem Problem der E r f a s s u n g rhy thmischer Schwankungen von Kre i s l au fg rößen befaßt 'haben. Die Ents tehungsweise solcher Rhythmen ist mit Ausnahme des herzsynchronen Rhythmus 1. Ordnung (Ar ter ienpuls ) a l le rd ings letzlich noch n ich t vol l geklär t . Im Rahmen der Unte r suchung und Funkt ionsp r ü f u n g der Arterien gal t bis jetzt das Interesse überwiegend der E r f a s sung des Arter ienpulses /3/. Dazu kann u. o. neben der P a l p a t i o n der Pulsphänomene die phonographische Ausku l t a t ion , die akrale Osz i l lograph ie (Kondensatormikrophone für Frequenzbereich 0.03 1200 Hz) , die Impedanzple thysmographie und das Ult raschal l verfahren verwendet werden. Auch die photoelektr ische Plethysmographie wurde hierzu seit Oahren angewendet.
Systems Engineering for Capabilities

Abstract : With the increased emphasis on capabilities and networking, the DoD is recognizing the criticality of effective end-to-end performance of systems of systems (SoS) to meet user needs. While acquisition continues to focus on systems, systems requirements are increasingly based on the assessment of gaps in user capabilities and in priority areas; there is an increasing focus on integration across systems to enable capabilities. Thus, the role of systems engineering (SE) is expanding to the engineering of SoS that provide user capabilities. This article discusses the shape of SoS in the DoD today. It outlines a recent initiative to provide guidance on the application of SE processes to the definition and evolution of SoS.
Analytical Investigation of the Unsteady Aerodynamic Environments in Space Shuttle Main Engine (SSME) Turbines

Unsteady computational fluid dynamics (CFD) analyses of the SSME alternate turbopump development (ATD) high pressure fuel turbopump (HPFTP) and high pressure oxidizer turbopump (HPOTP) turbine first stage blades are presented. Modal analyses of the first stage blades of each turbine indicated possible resonance problems in crucial operating ranges of the turbopumps. Unsteady aerodynamic simulations were conducted for each turbine to support further investigations of dynamic responses of the first stage blades. To appropriately characterize the aerodynamic environments in the turbines, unsteady, multistage, and multiblade calculations were required. Within this set of requirements, two approaches were taken. The first approach was to apply a two-dimensional (2D) Navier-Stokes code at each turbine midspan. Because the unsteady interactions were believed to be dominated by wake effects, this viscous approach was considered to be the more accurate. However, unsteady Navier-Stokes calculations have been shown to be computer intensive. Therefore, a second, quicker approach was undertaken. This approach was to apply, at each turbine midspan, an Euler code modified with a shear stress model that was calibrated with a set of turbine test data. Comparisons of time-averaged and transient pressure distributions, axial and tangential loads, and entropy contours calculated by each approach are presented. Discrepancies between results are noted and the relative merits of each approach are discussed.Copyright © 1993 by ASME
ADAPTABLE DESIGN OF MACHINE TOOLS STRUCTURES

Adaptable design aims to extend the utilities of design and product.The specific methods are developed for practical applications of adaptable design in the design of mechanical structures, including adaptable platform,interface and module designs.Adaptable redesign problems are formulated as adaptable platform design under adaptability bound constraints.Analysis tools are then suggested for the implementation of the redesign of machine tool structures,including variation techniques based sensitivity analysis,similarity-based commonality analysis,performance improvement,and adaptability measures.The specific measure of adaptability for machine tool structures is measured through the quantification of the structural similarity and performance improvement gained from adaptable design.The method provides designers with an approach that brings adaptability into the design process,with considering the cost and benefits of such adaptability. The redesign of CNC spiral bevel gear cutting machine structures has been included to illustrate these concepts and methods.
An overview of some important contributions to microwave engineering

The author presents a brief overview of the many contributions to microwave engineering of Dr. Seymour B. Cohn during the period that he was at the Stanford Research Institute (1953 to 1960). Consideration is given to Cohn's contributions in the following areas: design theory for transmission lines and obstacles, new microwave filter design theory and structures, and microwave lens antennas. <<ETX>>
Dynamic Mathematical Models’ System and Synchronization

We created the equilibrium, which includes sickness outcomes, health and risk behaviors, environmental factors, and health-related assets and delivery systems, and it should be incorporated in system Dyc (dynamic) modelling of chronic disease prevention. System Dyc has the ability to model a variety of interconnected illnesses and dangers, as well as the interaction between delivery systems and afflicted people, as well as state and national policies. This paper proposes a unique idea. Hybrid synchronization utilizes four positive LYP (Lyapunov) exponents based on state feedback management with two identical systems of the Lorenz system 6D HYCH system.
On localization of the star-Menger selection principle

In this paper we primarily introduce the local version of star-Menger property, namely locally star-Menger property (a space with this property is called locally star-Menger) and present some important topological observations. Certain interactions between the new notion and star-Menger property are also observed. Some observations on effectively locally star-Menger Pixley-Roy hyperspaces (introduced here) are obtained. Preservation like properties under several topological operations are also interpreted carefully. Besides, several results on decomposition and remainder of locally star-Menger spaces are also presented. Mathematics Subject Classification (2020). Primary: 54D20; Secondary: 54B05, 54B15, 54B20, 54C10, 54D40
Voltage Nonlinear Control in Multiterminal HVDC Networks

The use of DC networks including the transmission of energy using DC current at high voltage HVDC has become a reality with the advancement of power electronics. The HVDC system, for long distances has advantages in terms of the environment, cost, weight, losses, public health when compared to the traditional HVAC, while allowing the interconnection of two independent asynchronous AC networks directly. The purpose of this dissertation is to model and control a standard multiterminal DC network which consists in the interconnection of two independent networks. Each of these networks have an AC source, inverter, DC-DC converter, resistive loads, and electronic loads (constant power and constant current). Two nonlinear control strategies were created including droop control. These controllers must be able to control the voltage steady state regardless of disturbances. The developed controllers for the three-phase inverterrectifier and for the DC-DC converters are based on two nonlinear control methods based on the theory of Lyapunov stability and combine the theory of the backstepping and the theory of sliding mode control (BSMC). The strategy mentioned above was test in terms of response to transients and overvoltage/undervoltage through MATLAB/Simulink simulations. Keywords— HVDC, HVAC, Multiterminal DC network, BSMC, Nonlinear controllers
Characterization of Swine Influenza A(H1N2) Variant, Alberta, Canada, 2020

Influenza strains circulating among swine populations can cause outbreaks in humans. In October 2020, we detected a variant influenza A subtype H1N2 of swine origin in a person in Alberta, Canada. We initiated a public health, veterinary, and laboratory investigation to identify the source of the infection and determine whether it had spread. We identified the probable source as a local pig farm where a household contact of the index patient worked. Phylogenetic analysis revealed that the isolate closely resembled strains found at that farm in 2017. Retrospective and prospective surveillance using molecular testing did not identify any secondary cases among 1,532 persons tested in the surrounding area. Quick collaboration between human and veterinary public health practitioners in this case enabled a rapid response to a potential outbreak.
Optimization principle determines human arm postures and "comfort"

In this study, from the viewpoint of optimization principle, we investigate a selection mechanism of human arm postures for task execution because we can execute skillfully object manipulation by adjusting own arm postures. Moreover, when executing object manipulation, we feel comfort and/or discomfort for movements. Therefore, we investigate also a relationship between the selection mechanism and "comfort" during task execution. As a result, we found that an optimization principle based on a minimum muscle stress index determines human arm postures and also the comfort.
Use of the Species Sensitivity Distribution Approach to Derive Ecological Threshold of Toxicological Concern (eco-TTC) for Pesticides

The species sensitivity distribution (SSD) calculates the hazardous concentration at which 5% of species (HC5) will be potentially affected. For many compounds, HC5 values are unavailable impeding the derivation of SSD curves. Through a detailed bibliographic survey, we selected HC5 values (from acute toxicity tests) for freshwater aquatic species and 129 pesticides. The statistical distribution and variability of the HC5 values within the chemical classes were evaluated. Insecticides are the most toxic compounds in the aquatic communities (HC5 = 1.4 × 10−3 µmol L−1), followed by herbicides (HC5 = 3.3 × 10−2 µmol L−1) and fungicides (HC5 = 7.8 µmol L−1). Subsequently, the specificity of the mode of action (MoA) of pesticides on freshwater aquatic communities was investigated by calculating the ratio between the estimated baseline toxicity for aquatic communities and the HC5 experimental values gathered from the literature. Moreover, we proposed and validated a scheme to derive the ecological thresholds of toxicological concern (eco-TTC) of pesticides for which data on their effects on aquatic communities are not available. We proposed eco-TTCs for different classes of insecticides, herbicides, and fungicides with a specific MoA, and three eco-TTCs for those chemicals with unavailable MoA. We consider the proposed approach and eco-TTC values useful for risk management purposes.
Mining Metrics for Predicting Intermittent Software Failures

testing and maintenance processes are adversely affected by failures that are hard to reproduce. Such intermittent failures, although investigated in great depth, are often closed as being "Not Repeatable" with no fault fixed. However, a variety of techniques, such as altering processor speed and memory, can be used to increase the likelihood of reproducing some failures. The goal of our research is to help software engineers understand the characteristics of intermittent behavior in software systems, and aid in developing efficient techniques for detecting and fixing such failures. We mined metrics from failure repositories of a large industrial software system developed by ABB Inc. and a large open source system, Mozilla Firefox. Our results indicate that testers spend more time debugging intermittent failures than reproducible failures. Additionally, we demonstrate that metrics extracted from failure reports and metrics based on natural language processing techniques can be used to predict that a failure may be intermittent at the time the failure is reported. Our prediction models were able to correctly predict more than 60% of failure reports as being intermittent.
Delay Mitigation in the Malaysian Construction Industry

This paper describes the importance of applying proper management in dealing with delays in construction for a growing economy. The main objective of this paper is to identify the management tools that are practiced in the local construction industry in mitigating delay. It also aims to identify the main factors that lead to project delays and to suggest recommendations on how to overcome or mitigate effects of the problem. Data is gathered from responses from questionnaire survey and interviews with those involved in construction project. The surveys and research findings indicate that delay incidents occur mainly during the construction phase of a project and one or more parties usually contribute to delay. This paper highlights the importance of having more experienced and capable construction managers as well as skilled laborers to enable the industry to develop at a faster rate either nationally or internationally.
Integrating Engineering Design into Technology Education: Georgia's Perspective.

This descriptive research study reported on Georgia’s secondary level (grades 6-12) technology education programs capability to incorporate engineering concepts and/or engineering design into their curriculum. Participants were middle school and high school teachers in the state of Georgia who currently teach technology education. Participants completed a Likert-type online-survey which reported on technology education teacher’s (a) current instructional practices to teach engineering-based instruction, (b) curricular value placed on engineering-based instruction, and (c) instructional needs to teach engineering-based topics. General demographic information was collected from all participants. The results from the study aided in informing the educational community on the perspective of the values, needs, and Cameron Denson is a Postdoctoral Research Associate at Utah State University. He can be reached at Cameron.denson@aggiemail.usu. edu. Todd Kelley is an Assistant Professor at Purdue University, IN. He can be reached at trkelley@purdue.edu. Robert Wicklein is a Professor at the University of Georgia, Athens. He can be reached at wickone@uga.edu. 82 JOURNAL OF INDUSTRIAL TEACHER EDUCATION instructional practices associated with an engineering design focus for technology education. A summary of the five main recommendations are reported.
Learning an Ontology Of Text Data

The paper describes an algorithm for automating learning an ontology of data represented by natural language texts. Firstly the problem of learning ontology from a sample of texts is formulated. Next, the structure of data ontology that includes the basic level concepts and concepts of higher levels of generalization is described. The algorithm for extracting basic-level ontology concepts, which is based on the use of semantic resources of Wikipedia and DBpedia tools, is presented. Details on the generalization and specialization of basic ontology concepts are given. The new scientific results of the work include the probabilistic model of ontology, the model of interconnections between the basic concepts of ontology and their instance, and the stop criteria for the iterative process of ontology learning.
Envisaging global balance-sheet capitalism: The Bank for International Settlements as a collective organic intellectual

This article examines how the Bank for International Settlements, as a collective organic intellectual of finance capital, has sought to maintain the hegemony of financial globalization in the context of an increasingly fractured global order following the 2007–2009 financial crisis. I show how the Bank for International Settlements’ defence of financial globalization has pivoted around the construction of a new ‘economic imaginary’ of global capitalism in which the global financial cycle, which culminates in systemic financial crises, threatens economic and political stability. Asserting that this cycle can be ‘properly managed’, the Bank for International Settlements has advocated a set of formal shifts in macro-policy frameworks. Focusing on the temporality of economic governance as envisioned by the Bank for International Settlements, I highlight two important dimensions of the organization’s discourse: the reduction of policy to process and the fetishization of policy innovation. Here, the pursuit of principles of ‘good’ economic management is prioritized over the achievement of concrete economic or social outcomes. In traversing this economic imaginary, this article offers insights into how global capitalism and its management are envisioned by elites in the current period of hegemonic disorganization and political-economic turmoil.
A Novel Neural Network Based Modeling for Control of NOx Emission in Power Plant

A novel neural network based modeling for non-linear model identification technique is proposed. It combines a nonlinear steady state model with a linear one, to describe the disturbance and dynamics in the coal-fired power plant. The modeling and training algorithm is used to develop a model of nitrogen oxides (NOx) emitted from the process where one-step ahead optimal prediction formula are developed. Two cases show that the resulting model provides a better prediction of NOx and fitting capabilities.
Using Geographically Weighted Regression Models to Estimate Annual Average Daily Traffic

Annual average daily traffic (AADT) is important information for many transportation planning, design, operation, and maintenance activities and for funding allocation. Many studies have attempted AADT estimation by using various methods, such as the factor approach, regression analysis, and artificial neural networks. An application of geographically weighted regression (GWR) methods for estimating AADT is presented. GWR models allow model parameters to be estimated locally instead of globally, as in the case of ordinary linear regression (OLR) analysis. The spatial variation of the parameter estimates and the local R2 from the GWR models were investigated, and the AADT estimation errors were analyzed. Compared with OLR models, the GWR models were more accurate and were useful for studying the effects of the regressors at different locations.