Miracle-dz/UniFAR-FTUs huggingface dataset:
Determination of column size for displacement‐based design of reinforced concrete frame buildings

This article reports a method to determine the storey‐wise column size for displacement‐based design of reinforced concrete frame buildings with a wide range of storey drift and building plan. The method uses a computer program based algorithm. The basic relation used in the algorithm is formulated by considering the various possible deformation components involved in the overall frame deformation. As a necessity to represent the deformation component due to plastic rotation of beam members, a relation between the beam plastic rotation and the target‐drift is adopted. To control the dynamic amplification of interstorey drift, a target‐drift dependant design‐drift reduction factor is used. The dynamic amplification of column moment is accounted with the help of an approximate conversion of fundamental period of the building from the effective period of the equivalent SDOF system. To avoid the formation of plastic hinge in column members, a design‐drift dependant column–beam moment capacity ratio is used. The method successfully determines the storey‐wise column size for buildings of four plans of different varieties, heights up to 12 storeys and target‐drift up to 3%. Copyright © 2013 John Wiley & Sons, Ltd.
Input power clamp for controlling regeneration in matrix converter drive

Current aircraft power quality specifications do not allow regeneration onto the power bus. Therefore, the inherent regeneration available from matrix converter is not desirable in aerospace application. In this paper, a simple method to avoid regeneration from matrix converters is proposed. The method has been called the input power clamp (IPC) method. The IPC method is an alternative to the bi-directional switch (BDS) method and has a number of advantages which will be discussed in the paper.
Application of the structural articulation method to dynamic impact loading of railway bridges – a case study

This article demonstrates a practical application of the structural articulation method. An existing prototype railway bridge was selected to compare our new method with the industry codes of practice. The response history and dynamic increment of the bridge were investigated through a variety of methods: lump sum mass analysis (LSMA) and suspension system analysis (SSA) for a single-axle force, and SSA for multi-axle forces. We considered both a local irregularity and a global sinusoidal irregularity. The dynamic impact load induced by either form of track irregularity increases approximately linearly with the vehicle speed up to a certain point, then tends to decrease gradually. This behaviour reveals that the dynamic impact load induced by track irregularities is dominated by the resonance of the bridge. If a bridge must support multiple axles, or if an especially accurate dynamic impact factor is required for safety reasons, then multi-axle SSA is recommended because this approach is the most accurate and likely to produce a weaker response than single-axle analysis. The random irregularity is generated by the stochastic track irregularity process. It is found that the dynamic impact load induced by the random irregularity is negligible, compared with the deterministic irregularity.
Stability Analysis on Anti-Slide Pile to Reinforce Slope Based on ABAQUS

The research uses the method of three-dimensional finite element analysis combined with the actual project application to study the slope reinforced by anti-slide pile. The research analyses the influence of reinforcement that the anti-slide exert on the soil and shows the changes of the sliding surface properties by establishing the finite element numerical model. The conclusion can be made that the ABAQUS finite element method is visual and practical. The study is of great benefit to the actual engineering.
Design of an integrated THz electromagnetic crystals (EMXT) cavity filter

An electromagnetic crystals (EMXT) cavity filter with photonic band gap (PBG) structure is analyzed and a narrowband filter operating at around 0.5 THz is designed. The filter is simulated using the finite element method and it can be fabricated by micro-electromechanical systems (MEMS) technology, due to its low cost, high performance and high processing precision. The simulation results show the filter has a good performance. The passband bandwidth is 7%, the rejection at one time bandwidth out of the passband is larger than 30 dB, and the insertion loss in the passband is less than 1 dB.
Micro-grid Dynamic Response Enhancement Using New Proportional Integral Wind Turbine Pitch Controller and Neuro-fuzzy Photovoltaic Maximum Power Point Tracking Controller

Abstract Power deregulation and shortage of transmission capacities have led to increased interest in distributed generators, especially renewable sources. In this study, a complete model is developed that can simulate in detail the transient dynamic performance of the micro-grid during and subsequent to the islanding process. Wind speed fluctuations cause high fluctuations in output power of a wind turbine, resulting in fluctuations in frequency and voltages of the micro-grid during islanding mode. In this study, new proportional integral pitch controller is proposed to smooth the output power of a wind turbine to reduce frequency and voltage fluctuations. The proposed proportional integral controller is compared with the conventional proportional integral controller that is used for wind turbine power control. The obtained results proved that the proposed controller is effective for the improvement of micro-grid performances. In addition, a neuro-fuzzy controller is also proposed for obtaining maximum power point tracking of the photovoltaic panels installed in the micro-grid. All models and controllers are developed on a Matlab® Simulink® environment.
Selection of distribution transformer based on economic criteria

This paper presents considerations related to tlie loss of life calculation and to the determination of tlie distribution transformers loading, with technical and economical consideratioiis and applying daily load curves obtained from measurements in typical transformers. Loss of life estimation is done applying probabilistic daily load curves and their probability of occurrence. The transformer loading rnanagement criteria is then compared to tlie methodology presently in use by Silo Paulo State utilities. Finally a transformer loading analysis is done through an economic criteria that consists on the calculation of tlie investment cost, losses, and the loss of life cost, all during its operational life.
The Compact Ignition Tokamak (CIT) preliminary structural analysis for the vacuum vessel

The preliminary structural analyses performed in support of the design development of the CIT (Compact Ignition Tokamak) vacuum vessel are described. The analyses were used to determine the preliminary structural configuration of the vessel and to optimize the vessel support schemes. The analysis activities planned in support of the final design are summarized. <<ETX>>
The Role of Mental Computations in Current and Future En Route Air Traffic Control

As air traffic control (ATC) becomes increasingly automated, software designers need to know how air traffic controllers process information as they manage operations in today’s system. Extracting knowledge from today’s controller workforce and representing that knowledge in the form of mental computations are essential steps toward needs assessment and development of advanced decision-aiding tools and technologies. A recent task analysis documented information derived by controllers from their cognitive integration of displayed information. This work envisions future, more detailed analyses of the controller’s mental computations as essential to identifying needs for advanced software tools, including predictive displays.
Integrated volt/VAr control in distribution systems

The paper proposes new supervisory control schemes for integrated volt/VAr control at distribution substations and feeders. The new supervisory controller located at the substation coordinates the control of local regulating devices based on dynamically changing system conditions rather than local measurements. The supervisory scheme uses the measurements and communications between field devices in order to provide the coordination. Three different versions of this control scheme have been developed in order to accommodate for the varying amount of measurement and communication that may be available on a given system. Test results indicate that the new schemes better coordinate the control actions of the voltage regulator and capacitor banks and thus provide a more effective volt/VAr control.
A STUDY ON KMS ADOPTION: ATTRIBUTES FOR IMPROVING SYSTEM USER SATISFACTION

The electronic knowledge management system (KMS) adoption phenomenon has long been researched with an objective of exploring and improving how corporations can best manage their knowledge assets and capabilities (Alavi and Leidner, 2001). Corporations invest in technology and in people with the assumption that acceptable returns of improved performance and organizational value will follow. A more complete perspective on what promotes potential KMS adopters to fully engage in the use, support, and promotion of the KMS provides an opportunity for both academics and practitioners to dig deeper into the adoption phenomenon. This paper proposes a research model expand academic insight into the use of a KMS. The perceived levels of user satisfaction resulting from “fully engaged” end users will be enhanced by a closer examination of the user’s cultural characteristics and work role. In addition, this paper will consider the practitioner’s perspective where initial acceptance must be extended beyond general use and into ongoing support and the continuous input necessary to keep the KMS useful for the end user community.
The Serlio floor and its derivations

The idea of spanning a space with beams, none of which is long enough to reach clear across, is one which has long held a fascination for designers. Described by Villard de Honnecourt and by Serlio, variations on this form have appeared both in drawings and in actual use. This paper describes examples of both and considers the structural behaviour of this kind of arrangement.
A driver face monitoring system for fatigue and distraction detection

Driver face monitoring system is a real-time system that can detect driver fatigue and distraction using machine vision approaches. In this paper, a new approach is introduced for driver hypovigilance (fatigue and distraction) detection based on the symptoms related to face and eye regions. In this method, face template matching and horizontal projection of top-half segment of face image are used to extract hypovigilance symptoms from face and eye, respectively. Head rotation is a symptom to detect distraction that is extracted from face region. The extracted symptoms from eye region are (1) percentage of eye closure, (2) eyelid distance changes with respect to the normal eyelid distance, and (3) eye closure rate. The first and second symptoms related to eye region are used for fatigue detection; the last one is used for distraction detection. In the proposed system, a fuzzy expert system combines the symptoms to estimate level of driver hypo-vigilance. There are three main contributions in the introduced method: (1) simple and efficient head rotation detection based on face template matching, (2) adaptive symptom extraction from eye region without explicit eye detection, and (3) normalizing and personalizing the extracted symptoms using a short training phase. These three contributions lead to develop an adaptive driver eye/face monitoring. Experiments show that the proposed system is relatively efficient for estimating the driver fatigue and distraction.
The continuation power flow: a tool for steady state voltage stability analysis

A method of finding a continuum of power flow solutions starting at some base load and leading to a steady-state voltage stability limit (critical point) of a system is presented. A salient feature of the so-called continuation power flow is that it remains well conditioned at and around the critical point. As a consequence, divergence due to ill-conditioning is not encountered at the critical point, even when single-precision computation is used. Intermediate results of the process are used to develop a voltage stability index and identify areas of the system most prone to voltage collapse. Examples are given wherein the voltage stability of a system is analyzed using several different scenarios of load increase. <<ETX>>
SCHEDULING IN A PRODUCTION ENVIRONMENT WITH MULTIPLE PROCESS PLANS PER JOB

Traditional job shop scheduling problems generally assume that there is a single feasible routing with which a part can be processed in a shop. In today's flexible production systems, this assumption is rarely true. For most manufactured parts, it is possible to generate multiple ways to sequence the operations required to realize the finished product. Each feasible ordering of the operations generates a process plan. Multiple process plans per job increase production flexibility, while at the same time they increase planning and scheduling difficulty. In this paper, the problem of scheduling multiple jobs with each having multiple process plans in a job shop environment is addressed. The problem is modelled and solved using a mathematical approach. Because of the high computational effort required to solve the model using an exact solution procedure, two algorithms were developed and compared against solutions obtained by an optimum finding technique. The results of the test problems indicate that one of.
Fractal‐shape small size microstrip patch antenna

In this Letter, a new Koch island microstrip patch antenna is proposed. The Koch patch is fractal shaped and characterized by space‐filling and self‐similarity properties. Due to the space‐filling properties of fractal geometry, the proposed antennas are a smaller in size than conventional Euclidean‐type ones. The characteristics of Koch patches are demonstrated by experimental results: when the fractal iteration factor is 2.5, then the patch is 45% smaller in size than a conventional square patch, thereby maintaining a radiation pattern comparable to that of a normal square patch. © 2002 Wiley Periodicals, Inc. Microwave Opt Technol Lett 34: 15–17, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.10359
An Innovative Method for Evaluating Power Distribution System Reliability

The reliability assessment of future distribution networks is an important issue in power engineering for both utilities and customers. This is due to the increasing demand for more reliable service with less interruption frequency and duration. This research consists of two main parts related to the evaluation of the future distribution system reliability. An innovative algorithm named the encoded Markov cut set (EMCS) is proposed to evaluate the reliability of the networked power distribution system. The proposed algorithm is based on the identification of circuit minimal tie sets using the concept of Petri nets. Prime number encoding and unique prime factorization are then utilized to add more flexibility in communicating between the systems states, and to classify the states as tie sets, cut sets, or minimal cut sets. Different reduction and truncation techniques are proposed to reduce the size of the state space. The Markov model is used to compute the availability, mean time to failure, and failure frequency of the network. A well-known Test Bed is used to illustrate the analysis (the Roy Billinton test system (RBTS)), and different load and system reliability indices are calculated. The method shown is algorithmic and appears suitable for off-line comparison of alternative secondary distribution system designs on the basis of their reliability. The second part assesses the impact of the conventional and renewable distributed generation (DG) on the reliability of the future distribution system. This takes into account the variability of the power output of the renewable DG, such as wind and solar DGs, and the chronological nature of the load demand. The stochastic nature of the renewable resources and its influence on the reliability of the system are modeled and studied by computing the adequacy transition rate. Then, an integrated Markov model that incorporates the DG adequacy transition rate, DG mechanical failure, and starting and switching probability is proposed and utilized to give accurate results for the DG reliability impact. The main focus in this research is the conventional, solar, and wind DG units. However, the technique used appears to be applicable to any renewable energy source.
IS OBJECT-ORIENTED MODELING EASY TO LEARNAND USE? A CONFIRMATORY FACTOR ANALYSIS

In this study, we examine the notions of perceived ease of learning (PEL) and perceived ease of use (PEU) and their impact on the performance of applying the object-oriented methodology (OOM). We propose a research model that stipulates that PEL positively influences PEU and both PEU and PEL are positively related to performance. As expected, we found that PEL was strongly related to PEU. Findings regarding the causality of PEL and PEU on performance were partially supported. To test the hypotheses, we conducted an experiment to collect data from a group of undergraduate students in a large Midwest University. Structural Equation Modeling was employed to analyze the data.
Analysis of multiwavelength clock recovery based on Stimulated Brillouin Scattering

Multiwavelength clock recovery based on Stimulated Brillouin Scattering is realized. The maximum frequency spacing of two channels is theoretical analyzed and experimental demonstrated. The calculated maximum frequency spacing is about 416GHz, and the corresponding wavelength span for multiwavelength clock recovery is 3.4nm. And the total wavelength span for two channels of the clock recovery scheme is demonstrated to be 3.37nm in experiment. Once exceed this span, the clock tones of two channels are out of the Brillouin gain spectrum, and not able to experience the process of SBS. The experiment results are in good agreement with the theoretical analysis.
Automatic Point Clouds Registration Method Based on Mesh Segmentation

This paper proposes an automatic point clouds registration method based on High-Speed Mesh Segmentation. The proposed method works fast for doing an initial registration and extracting point clouds region feature. First, the features of the point region are used for matching point cloud regions. Second, matched regions sets are classified for calculating transform matrix of initial registration. Based on the initial registration result the Iterative Closest Point (ICP) algorithm which had been used for accuracy registration to composite point cloud pairs will be applied. The proposed registration approach is able to do automatic registration without any assumptions about their initial positions, and avoid the problems of traditional ICP in bad initial estimate. The proposed method plus with ICP algorithm provides an efficient 3D model for computer-aided engineering and computer-aided design.
Research on terminal behavior of electrostatically an actuated micropump membrane based on modal analysis

For optimizing the performance of the electrostatically actuated micropump, a multi-terminal behavior model of a micropump membrane is constructed by a modal projection technique. The dynamic state of the membrane is represented by a weighted combination of a few eigenmodes, which was obtained by using commercial finite element analysis programs ANSYSTM. By the data extraction technology, the capacitance of electrostatic excitation and membrane strain energy can be represented in modal coordinates. For considering the fluidic damping impact on the mode natural frequency and mode shape, the pump flow was treated as an additional mass attaching to the membrane. The pumping flow rate can be calculated by integrating the deformation profile function over the membrane's area. As a result, the terminal behavior model of membrane can be formulated in a set of ordinary differential algebraic equations, which is suitable for system level simulation. Finally, the dynamic behavior of a membrane was investigated.
A Novel Correction Technique for Simple Gas Turbine Parameters

Data normalization for gas turbines is necessary for comparison of test data collected at various environmental conditions. The normalization procedure is regulated by the ISO-standard. In this study, a single Artificial Neural Network is used to model the performance of a simple gas turbine (VT600) using measured data at various environmental and operational conditions. Consequently, engine performance maps covering a wide range of operational and environmental conditions have been generated. Comparison of the normalized/experimental data, results provided by thermodynamic models using heat and mass balance programs and results generated by the Artificial Neural Network (ANN) model shows a high level of consistency. The study presented here was performed as a pilot study, to investigate the applicability of an ANN model for data normalization applied to an Evaporative Gas Turbine (EvGT), since the ISO-standard normalization procedure is not applicable to the EvGT plant. Results of this work show that Artificial Neural Networks are powerful tools for performance prediction as well as generation of accurate power plant model of an specific simple gas turbine, and that data normalization can easily and accurately be carried out by using these performance maps.Copyright © 2001 by ASME
Improving speed behaviour: the potential of in-car speed assistance and speed limit credibility

Speeding is still a common practice on many roads and it contributes to a significant number of crashes. Two new approaches to solve speeding issues are focused on: intelligent speed assistance systems (ISA) and speed limit credibility. Research has indicated that ISA is promising with respect to improving speed behaviour but has not been widely implemented yet. Another promising approach to reduce speeding involves adjusting the environment to improve the speed limit credibility. The aim here is to investigate the potential of both approaches and particularly the potential of the combination of these measures. A driving simulator study was conducted to investigate the individual and combined effects of the use of an ISA system and the speed limit credibility on drivers' average speed and the amount of time spent speeding. The results indicated that both the informative ISA system used here and the speed limit credibility significantly improved speed behaviour. Drivers not using ISA appeared to be more susceptible to the speed limit credibility than those using ISA. It is concluded that both the measures can be effective to improve speed behaviour. The results obtained suggest that the properties of this particular informing and warning type of ISA could have resulted in the speed limit credibility neither affecting the amount of time speeding nor the average speed.