Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Different Lateral Load Patterns in Estimating Seismic Demands of 3D Mass Eccentric Mid-rise Building

Nowadays, architects tend to create more complex structures than before. So engineers should become compatible with these ideas especially when they would be located on hazarded areas. For gaining this, two different kinds of 10-story structures for considering Different degrees of coupling between translational and torsional modes, have created from a symmetric structure, considering effects of Soil-Structure Interaction (SSI). Then a series of Nonlinear Response History Analysis (NLRHA) under bidirectional ground motions, are performed to calculating seismic demands of them. Finally, modal pushover analysis (MPA), modified consecutive modal pushover procedure (MCMP) and some lateral load pattern that recommended in FEMA-356 are performed to estimate seismic demands of them. Comparing results of NLRHA and other methods indicate that MCMP procedure is able to catch a good estimation of seismic demands of one way asymmetric plan building.
Design equation for offshore overlap tubular K-joints under in-plane bending

Overlap tubular K-joints are generally regarded as having higher axial strength than similar simple gap K-joints due to their more direct load transfer between braces. Due to congestion at the nodes in steel jackets, overlap K-joints are used as key structural elements in many existing offshore platforms. However, relatively little experimental research has been done to quantify their strength and this has prevented engineers from taking full advantage of overlapping in the design of new structures as well as in the life extension assessment of existing platforms. This paper presents the results of a numerical study on gap and overlap K-joints under in-plane bending. The parametric study reveals new insight into how the behavior and strength varies across the practical range of geometrical parameters. Based on the finite element strength database, a capacity equation has been derived and presented herein using nonlinear regression analysis techniques.
A hierarchical approach to understanding physiological associations with climate

Aim: Our understanding of species’ responses to climate depends on choosing the scale for the analysis. Processes driving physiological adaptation that occur at the small spatial scales most relevant to animals may be masked in correlations between organismal traits and broad-scale climatologies, but the extent to which this under-mines our understanding of the macroevolution of physiological traits is unknown. Location: Global. Time period: Current. Major taxa studied: Lizards. Methods: We investigated relationships between physiological traits (water loss rate, standard and field metabolic rates, thermal preferences and critical thermal limits) and environmental conditions in 369 lizard species across sets of environmental predictors representing different processes across hierarchically nested spatial scales: macroclimate, microclimate and biophysical. Results: We found that microclimatic and biophysical predictors had greater explanatory power than macroclimatic predictors for all traits except standard and field metabolic rates. Across spatial scales, standard metabolic rate was negatively re-lated to maximum temperatures whereas field metabolic rate was positively related to minimum temperatures. Thermal preference and critical limits showed expected relationships
Some Features of Classifiers Implementation for Object Recognition in Specialized Computer systems

Generalized formalization of recognition algorithm for specialized computer systems is presented in this paper. The structure features of image recognition methods, which have to be taken into account when developing classifiers for object recognition in specialized computer systems, are described. The fundamental types of images characteristics-features, which are used in various methods of image recognition, are discussed. Approaches to development of classifiers for recognizing robotization objects, which are implemented on basis of Haar classifiers, are discussed. The issues of using machine learning algorithm of adaptive gain AdaBoost for development of such classifiers are also considered. Utilities have been developed for implementation of classifiers for object recognition in specialized computer systems.
Research on Travel Path Planning Based on Group Related Mapping

This paper analyzed travel path planning problem. Firstly, it reviewed some references about path planning method and found that those methods were not suit for travel path planning. Secondly, it proposed group related mapping method to solve travel path planning problem. This method had two steps, arranging trips when conflicts were overlooked and rearranging the trips when conflicts were eliminated. Thirdly, to explain the arrangement clearly, it took schedule of ten days travel along the Big Long River as an example. The result showed that the arrangement of all the accessible trips could be worked out during the whole rafting season.
Glulam rivets in radiata pine

Glulam rivets are special nails for making high strength connections in timber structures. This paper describes an investigation of glulam rivet behaviour in radiata pine timber grown in New Zealand. Test results are compared with those on Canadian species, and with several international codes. The European yield theory is shown to give excellent prediction of glulam rivet strength in those connections where wood tension failures do not occur. Simple techniques for obtaining rivet bending strength and wood embedment strength are described, to provide input to the yield theory equations. Key words: fastenings, glulam, laminated, nails, pine, radiata, rivets, timber, wood.
Estimation of Radiated Sound Power: A Case Study on Common Approximation Methods

The radiated sound power value is often used to evaluate the sound radiation of a machine or a product. Since its estimation requires the sound pressure on a surrounding surface of the radiating object, the sound power value is mostly computed under high numerical costs due to the acoustic field that has to be modeled. Therefore, approximations of the sound pressure are widely popular. In this article three common methods namely the equivalent radiated power, the lumped parameter model and an approximation based on the volume velocity are investigated. It is the goal of this paper to test these methods on realistic examples. The radiated sound power functions of the floor panel of a car and the radiation of a diesel engine under realistic load cases are estimated.
A Discuss on Basing Half-Cell Potential Method for Estimating Steel Corrosion Rate in Concrete

Basing half-cell potential method estimating steel corrosion rate in concrete was studied in this paper. The exponential relationship between the corrosion current and the corrosion potential was regressed by the data collected from the linear polarization method experiment. Potential collected by the half-cell potential method and linear polarization resistance method in the experiment were close, it is reasonable to using regression equation. Regression equation was applied to analysis steel corrosion rate in a concrete structure column.
Cognitive Factors in Homeland Defense: The Role of Human Factors in the Novel Intelligence from Massive Data (NIMD) Project

The Intelligence Community's Advanced Research and Development Activity (ARDA) recently issued 17 contracts for innovative, creative, and high-risk research to advance the state-of-the-art in technologies and methods for supporting the intelligence analyst in discovering “novel intelligence from massive data” (NIMD). An important feature of this initiative is the role it gave to cognitive factors. The Call-for-Participation said, “Thus, NIMD is about human interaction with information in a way that permits intelligence analysts to spot the telltale signs of strategic surprise in massive data sources — building tools that capitalize on human strengths and compensate for human weaknesses to enhance and extend analytic capabilities. ” This symposium will provide a brief overview of NIMD as well as project reports from four of the teams that won NIMD contracts. While the approaches and projects are diverse, all attempt to bring an understanding of cognitive factors and quantitative approaches to bear on improving the intelligence analyst's success at extracting hidden patterns from massive databases.
Gate length scaling for Al/sub 0.2/Ga/sub 0.8/N/GaN HJFETs: two-dimensional full band Monte Carlo simulation including polarization effect

Two-dimensional self-consistent full band Monte Carlo (FBMC) simulator was developed for electron transport in wurtzite phase AlGaN/GaN heterojunction (HJ) FET. Recessed gate Al/sub 0.2/Ga/sub 0.8/N/GaN HJFET structures with an undoped cap layer were simulated, where the spontaneous and piezoelectric polarization effects were taken into account. The polarization effect was shown to not only increase the current density, but also improve the carrier confinement, and hence improve the transconductance. An off-state drain breakdown voltage (BV/sub ds/) of 300 V and a maximum linear output power (P/sub max/) of 46 W/mm were predicted for a 0.9-/spl mu/m gate device. For a 0.1-/spl mu/m gate device, 60 V BV/sub ds/, 20 W/mm P/sub max/, and 160 GHz current-gain cutoff frequency were predicted. Although there is considerable uncertainty due to lack of information on the band structure, scattering rates, and surface conditions, the present results indicate a wide margin for improvements over current performance of AlGaN/GaN HJFETs in the future. To our knowledge, this is the first report on the FBMC simulation for AlGaN/GaN HJFETs.
Comparison between the simplified and the Jiles‐Atherton model when accounting for the hysteresis losses of a transformer

Purpose – The investigation was aimed at magnetically‐nonlinear dynamic model of a single‐phase transformer, where the effects of dynamic hysteresis losses are accounted for by a simplified model. Such a modelling could be applied when analyzing the transient operating conditions or the impact of nonlinear and unbalanced loads on the transformer operation and the big power systems modelling.Design/methodology/approach – Secondly, an inverse form of the Jiles‐Atherton hysteresis model was applied for the hysteresis losses of a transformer defining. In that sense this paper compares and evaluates both hysteresis models, where the possible errors caused by simplified model application are exposed.Findings – The Jiles‐Atherton model can be applied when more accurate hysteresis models are required, however, at the cost of increased model complexity and required computational effort. Apart from that the main drawback is impossible application of such a modelling, when some of the input parameters are unknown. O.
A digital image processing method for estimating the level of hydrophobicity of high voltage polymeric insulating materials

Image analysis of water drop patterns on a flat polymeric insulator surface has been performed in order to find a simple mathematical function that indicates the level of hydrophobicity of an insulator surface. The result, a simple function given the name of "scaled entropy", seems to correlate well with hydrophobicity as defined by the STRI classification. Some of the various pitfalls in the measurement procedure are identified, together with possible solutions for avoiding them.
CROP YIELD PREDICTION BASED ON SOIL NUTRIENTS USING K-MEANS CLUSTERING

Agriculture is the backbone of Indian economy. Yield prediction is very popular among farmers these days, which particularly contributes to the proper selection of crops for sowing. This research will help farmers to generate their revenue with effective cultivation of crops and which soil is the best suitable for which crop. Estimating the nutrients present in the soil is an important factor for better crop management. Soils are categorized according to their physical and chemical properties like color, drainage capacity, acidity and alkalinity, major and minor nutrients. In this paper we propose multiple soil types to predict the best crop yield and K-means Clustering Techniques are applied in the field of agriculture to predict which soil is suitable for selected crop. IndexTerms Yield Prediction, K-means Clustering, Soil Nutrients. ________________________________________________________________________________________________________
Research on Energy-Saving Scheme Based on LED Street Lamp Management-System

Along with the rapid development of the Internet of things, the concept of intelligent city gradually affect our life. In a large number of consumption we enjoy intelligent bring convenience and was accompanied by energy. This research is the energy-saving LED street lamps lighting the city plan. Different environment for city street lamp, street lamp pole through the parameter sensor acquisition itself, integrated, intelligent to develop energy-saving light modulation scheme. At the same time, according to city various scenarios to develop energy-saving strategies, so as to solve the problem of energy waste city street planning unreasonable, light modulation scheme is not perfect cause.
In Silico Testing of the Semi-Closed Loop Infusion System with a New Simulator

This research was funded by the European Union Funds (project No. VP1-3.1-SMM-10-V-02-014). Audrius Andrijauskas has received a consultant’s fee and travel funding from Masimo Corp. (Irvine, CA, USA). Also, AA received an honorarium from Masimo Corp. for an expert witness report. A.A. is an inventor in US patent US 7,788,045 B2, non-provisional US patent application US 61/470,224 and International non-provisional patent application US 13/973,747.
Design and implementation of green intelligent lights based on the ZigBee

By analysis of the low degree of intelligence of the traditional lighting control methods, the paper uses the singlechip microcomputer for the control core, and uses a pyroelectric infrared technology to detect the existence of the human body, light sensors to sense the light intensity; the interface uses infrared sensor module, photosensitive sensor module, relay module to transmit the signal, which based on ZigBee wireless network. The main function of the design is to realize that the lighting can intelligently adjust the brightness according to the indoor light intensity when people in door, and it can turn off the light when people left. The circuit and program design of this system is flexible, and the system achieves the effect of intelligent energy saving control.
Algorithm for Predicting Inattentive Signal Violators in an Infrastructure-Based Intelligent System

In June 2003, the FHWA introduced the first intelligent intersection, capable of assisting drivers in avoiding right-angle collisions that typically occur at intersections. One of the concepts that intelligent collision-avoidance systems displayed was a violator warning system, consisting of an illuminated sign with strobe lights to alert distracted drivers that they may violate an approaching red signal. Proposed is a novel approach for creation of an algorithm to predict and alert likely inattentive signal violators in time for them to react to an infrastructure-based warning. The algorithm is based on comparing velocity and acceleration data of vehicles traveling at free-flow speeds through an intersection with data from alert motorists stopping for a red signal on the same approach. Kinematic data were obtained at four intersections for two sets of motorists, those who were stopping for a red light and those who were going through a green light. It was presumed that inattentive violators act identically to attentive drivers with a green signal. Comparison of speed and acceleration profiles revealed distinct differences that could be used to distinguish into which subset a given vehicle would fall, well in advance of the intersection. These comparisons yield a simple, economical, and site-specific algorithm for detecting inattentive motorists about to violate a signal.
Development and design of flexible Fowler flaps for an adaptive wing

Civil transport airplanes fly with fixed geometry wings optimized only for one design point described by altitude, Mach number and airplane weight. These parameters vary continuously during flight, to which means the wing geometry seldom is optimal. According to aerodynamic investigations a chordwide variation of the wing camber leads to improvements in operational flexibility, buffet boundaries and performance resulting in reduction of fuel consumption. A spanwise differential camber variation allows to gain control over spanwise lift distributions reducing wing root bending moments. This paper describes the design of flexible Fowler flaps for an adaptive wing to be used in civil transport aircraft that allows both a chordwise as well as spanwise differential camber variation during flight. Since both lower and upper skins are flexed by active ribs, the camber variation is achieved with a smooth contour and without any additional gaps.
Novel CMOS differential voltage current conveyor and its applications

Novel CMOS realisations of a differential voltage current conveyor (DVCC) are described. These circuits are powerful building blocks, especially for applications demanding differential or floating inputs like impedance converter circuits and current mode instrumentation amplifiers. Applications suitable for VLSI are then considered by using the DVCC to realise a MOS transconductor and a continuous-time current mode MOSFET-C filter. PSpice simulations indicate the excellent performance of the proposed DVCC and of its circuit applications.
Adoption of Conservation-Tillage Practices in Cotton Production

Agricultural Resource Management Survey data for 2003 were used to estimate logit models for adoption of conservation-tillage practices and herbicide-resistant/stacked-gene cottonseed in the United States. No endogenous relationship between these two adoption decisions was noticed. That is, the decision to simultaneously adopt those two technologies was not evidenced. However, results indicate each technology impacted the other independently. Prior experience with no-till was observed to have significant, positive impacts on both technologies, while the representative farmer’s college education, gross farm income, age, farming tenure , and a “highly erodible land” classification were not significant factors in determining the adoption of either technology.
AN EFFICIENT HYBRID ALGORITHM FOR COMMUNITY STRUCTURE DETECTION IN COMPLEX NETWORKS BASED ON NODE INFLUENCE

Community detection in complex networks has recently become considerable because it is possible to explore community structure, analyze behaviour and action. Detecting these communities brings enormous ﬁnance and provides informational value in the complex network. Many algorithms are proposed in previous studies for community structure detection problem. However, the majority of studies on community detection often have an element of randomization in their performance that leads to inconsistent results. In this paper, we proposed an eﬃcient hybrid Algorithm for Community structure Detection in complex networks based on individual Node Inﬂuence (named CDANI) to detect community with stable results
Web-Based Benchmarking System for the Construction Industry

The construction industry has been slow to adopt competitive benchmarking as a tool for continuous improvement. The nature of the industry, its projects, participants, and methods of execution differ widely from the manufacturing sectors making traditional benchmarking models developed for manufacturing difficult to adapt. This paper presents a benchmarking system developed by the Construction Industry Institute (CII) for broad application in the construction industry. During the past couple of years, the CII Benchmarking and Metrics (BM&M) system has been ported to a web-based system of data collection, performance and practice use reporting, and industry analysis. CII serves as a third-party facilitator and data clearinghouse to permit the sharing of highly confidential project data in a competitive environment. Cost, schedule, safety, practice use, and productivity data are now collected on-line during project execution 24/7 from the most remote project sites. Confidential reports are returned online showing metric scores, performance quartiles, and graphical comparisons of individual project performance to a database of similar projects. This paper addresses many of the issues that have served as barriers to benchmarking for the construction industry and provides an overview of how CII is confronting these issues. A background and a descriptive discussion of the database is provided and a few key findings from the data analyses are presented.
Iron loss prediction considering the rotational field and flux density harmonics in IPMSM and SynRM

Although good precision has been realised in iron loss calculation for static electrical apparatus, such as transformers, difficulties have been encountered in the case of rotating machines. Due to complex structures, varying flux distributions, rotational field and flux density harmonics, less satisfactory results are achieved for the prediction of iron loss in rotating machines. The influence of the rotational field as well as flux density harmonics on the iron loss calculation based on finite element method are considered in this paper. To account for the effect of additional iron losses due to the appearance of rotational flux density vectors and harmonics, revisions to the conventional method are made to reduce the prediction error. Calculations and experiments have been carried out on two interior permanent magnet synchronous motors with different kinds of winding and a synchronous reluctance motor. Experimental results have verified that improved precision of iron loss calculation can be achieved by using the proposed method.
Usability Engineering of a Tangible User Interface Application for Visually Impaired Children

Educational applications provide engaging learning experiences particularly for children, but their visual nature limits their usefulness and accessibility for the visually impaired (VI). By utilizing physical objects in the interactions, tangible user interfaces (TUIs) could make educational applications more accessible for VI children. Fully understanding the specific needs of users and involving them in the system design and testing are necessary for developing usability and accessibility guidelines to improve the overall user experience for such applications. This paper reports on the user-centered design process for an innovative, engaging TUIbased educational application for VI children, wherein several gamification elements were included to enhance the user experience and increase engagement. An evaluation was also conducted over two iterations to assess the TUI application’s usability quantitatively and qualitatively. The results of the evaluation sessions generated several design recommendations and guidelines to enhance educational TUI-based applications for VI children.
Sixteen-Layer Write Once Disc with a Separated Guide Layer

We proposed a new recordable multilayer optical disc and its recording system. The new optical disc has multiple-plane-recordable layers and a separated guide layer, and we fabricated 16 recording layers made of high-transmittance inorganic recording materials stacked on the separated guide layer. The recorded signals were evaluated on all recording layers by using jitter and i-MLSE as the evaluation indicators. As a result, the technical feasibility of our proposal was confirmed to achieve the total capacities of 400 and 512 Gbytes, respectively, by the continuous recording of all 16 recording layers with a track pitch of 0.32 µm and two bit lengths. We believe that our multilayer optical disc and recording system are the most practical solutions for realizing huge-capacity data storage.