Miracle-dz/UniFAR-FTUs huggingface dataset:
Extremum Seeking Speed and Heading Control Applied to Parametric Roll Resonance

Abstract Parametric roll is a dangerous resonance phenomenon for ships caused by time-varying restoring forces. The resulting large roll oscillations may endanger the ship's safety and possibly lead to capsizing. The susceptibility of container ships to parametric roll resonance has caused considerable research activities in the development of control and operational strategies to avoid large roll motions. In this paper, a novel approach to the active control of ships experiencing parametric roll resonance is presented. The methodology of extremum seeking control is used to iteratively determine the set-point for the wave encounter frequency in order to avoid the conditions for the onset and build-up of parametric roll. The desired trajectory for the wave encounter frequency is tracked by mapping it to the ship speed and heading angle by a control allocation, formulated as a constrained optimization problem, and consequently by implementing speed and heading controllers. The combined variation of the speed and heading angle is shown to efficiently drive the ship out of the parametric roll resonance region.
Customer short term load forecasting by using ARIMA transfer function model

Short-term load forecasting plays an important role in electric power system operation and planning. An accurate load forecasting not only reduces the generation cost in a power system, but also provides a good principle of effective operation. In this paper, the ARIMA model and transfer function model are applied to the short-term load forecasting by considering weather-load relationship. For four types of customer in Taiwan power (Taipower) system, residential load, commercial load, office load and industrial load customers, the summer ARIMA model transfer function model have been derived to proceed the short-term load forecasting during one week. To demonstrate the effectiveness of the proposed method, this paper compares the results of the transfer function model and the univariate ARIMA model with conventional regression. Besides, the transfer function model's accuracy of the load forecast on weekday and weekend is thoroughly investigated. To improve the accuracy level of load forecast, the temperature effect is considered in the transfer function. According to the short-term load forecasting for these four customer classes, it is concluded that the proposed method can achieve better accuracy of load forecast than the ARIMA model by considering the causality between power consumption and temperature.
Critical Factors Affecting Tacit-Knowledge Sharing within the Integrated Project Team

AbstractSharing tacit knowledge is of great importance for an integrated project team to achieve success. However, research on the factors affecting tacit-knowledge sharing within an integrated project team has been insufficient in the construction management field. This paper aims to identify the critical factors affecting tacit-knowledge sharing and explore the interrelationships between these factors. Based on a literature review, the authors first identify 31 factors of tacit-knowledge sharing within integrated project teams. Through a questionnaire and statistical test, this research next analyzes the factors that are significant to tacit-knowledge sharing within an integrated project team. Then, factors analysis was used to study the critical factors of tacit-knowledge sharing. Finally, the authors analyze the interrelations among the critical factors and explore how they influence tacit-knowledge sharing within the integrated project team. The findings in this research demonstrate the impacts of tr.
Research on Complex Equipment Reliability Growth AMSAA-ELP Model Based on Explore Learning Promotion

According to learning other models equipment test information of complex equipment in the development process, and making their own systems to improve the reliability of the case, a complex equipment reliability growth AMSAA-ELP model based on explore learning promotion was developed, and the property was analyzed from different parameter values. Additionally, the trend test was also presented. Secondly, maximum likelihood estimation formula of the parameters was given under time censored and failure censored test of AMSAA-ELP model, and point out that there are multiple poles value of the maximum likelihood estimate can use pseudo-Monte-Carlo method parameter calculation. Additionally, the model's goodness of fit test was also given. Finally, the combination of complex equipment with engine failure data was analyzed. The results shows that the AMSAA-ELP model is prefer to AMSAA model intended to test data, and the AMSAA-ELP model is suitable to the engineering applications.
Relating In Situ Properties of Cement-Bound Bases to Their Performance

A rationale for explanation of the in situ layer modulus expected from a cementitious base is presented. It is assumed that all such bases crack to various degrees, depending on material strength and other pavement parameters, under the influence of shrinkage, temperature changes, and trafficking. The layer modulus is shown to be a function of hinge and slip effects at cracks, as well as the intrinsic material modulus, and simple, practical, but fundamental-based equations are given for its prediction. The point that any given layer modulus could, in principle, be due to any of several different combinations of material modulus, crack spacing, and condition is made, and so careful interpretation is vital. The use of the predictive equations is then demonstrated in six selected cases, covering materials ranging from cracked pavement-quality concrete to lime- and cement-stabilized clay, and the equations are seen to enable the measured layer moduli to be interpreted sensibly. Finally, two examples are given. In these examples similar layer moduli relate to two quite different materials and conditions, which have given rise to different pavement performances. The weaker material resulted in a better combination of crack spacing and condition and a longer-lasting pavement, whereas the stronger material resulted in a pavement very susceptible to reflective cracking. The conclusion is drawn that, for optimum pavement performance, the key is to limit the amount of slip at cracks by ensuring good interlock as well as adequate intrinsic material strength and stiffness. A slowly curing material is ideal.
Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence

Most graph neural network models learn embeddings of nodes in static attributed graphs for predictive analysis. Recent attempts have been made to learn temporal proximity of the nodes. We find that real dynamic attributed graphs exhibit complex phenomenon of co-evolution between node attributes and graph structure. Learning node embeddings for forecasting change of node attributes and evolution of graph structure over time remains an open problem. In this work, we present a novel framework called CoEvoGNN for modeling dynamic attributed graph sequence. It preserves the impact of earlier graphs on the current graph by embedding generation through the sequence of attributed graphs. It has a temporal self-attention architecture to model long-range dependencies in the evolution. Moreover, CoEvoGNN optimizes model parameters jointly on two dynamic tasks, attribute inference and link prediction over time. So the model can capture the co-evolutionary patterns of attribute change and link formation. This framework can adapt to any graph neural algorithms so we implemented and investigated three methods based on it: CoEvoGCN, CoEvoGAT, and CoEvoSAGE. Experiments demonstrate the framework (and its methods) outperforms strong baseline methods on predicting an entire unseen graph snapshot of personal attributes and interpersonal links in dynamic social graphs and financial graphs.
SPR sensors in POF: a new experimental configuration for extended refractive index range and better SNR

In this work we present a new low cost SPR (Surface Plasmon Resonance) sensor configuration based on efficient higher-order mode filtering in plastic multimode fibers, using a tapered POF (Plastic Optical Fiber) after the sensor system, without decreasing the sensitivity of the sensor. In particular, we present the experimental results obtained with this new configuration. The experimental results have shown as the tapered POF after the sensor system influences the performances in terms of refractive index range and Signal-to-Noise Ratio (SNR).
Decomposition approach and analysis for a Z-matrix building process

An effective and procedural decomposition approach for Z-matrix building is proposed in this paper. There have been many papers in the literature regarding the Z-matrix building algorithms for large-scale power systems. Those methods mostly emphasised the relationship between the bus voltages and bus current injections. This paper provides a new perspective in observing the relationship. Bus voltages, bus current injections and branch currents were all investigated. The building algorithm can be accomplished by a simple search technique with two proposed matrices and is easily implemented. With these two matrices, the relationships among bus current injections, branch currents and bus voltages can be found. Those matrices will be very helpful in observing the structural changes in short-circuit analysis and contingency analysis. Numerical examples show that the proposed method is very effective and suitable to be used for large-scale power systems.
Evaluation of genetic change from translocation among Gunnison Sage-Grouse (Centrocercus minimus) populations

ABSTRACT Maintenance of genetic diversity is important for conserving species, especially those with fragmented habitats or ranges. In the absence of natural dispersal, translocation can be used to achieve this goal, although the success of translocation can be difficult to measure. Here we evaluate genetic change following translocation in Gunnison Sage-Grouse (Centrocercus minimus), a species reduced to 7 discrete populations with low levels of gene flow and high levels of genetic differentiation. Between 2000 and 2014, 306 birds from the largest and most genetically diverse population (Gunnison Basin) were translocated to 5 much smaller satellite populations to augment local population size and increase genetic diversity. Although the magnitude of the effect varied by population, we found evidence of increased genetic variation, decreased genetic differentiation from Gunnison Basin, and reproduction between translocated individuals and resident birds. These results suggest that translocations are impacting satellite populations, with current data providing a new baseline for genetic diversity among populations of this imperiled species.
Instantaneous directivity optimisation in time-modulated array receivers

As of the periodic on-off modulation of the static excitations, the number and the positions of the active elements in time-modulated arrays can vary significantly within the modulation period and the radiated pattern can drastically differ instant-by-instant. Since the fluctuations of the antenna gain could severely affect the behaviour of the received signal and its correct retrieval, the switching sequence is here properly optimised to keep constant the instantaneous directivity of the main beam, while generating a desired average radiation pattern at the frequency of the impinging signal. This allows one to avoid the spreading of the desired signal power into the harmonics generated by the on-off commutations of the switches. A set of representative results concerned with a benchmark linear case is reported and discussed to show the effectiveness of the proposed approach also in comparison with state-of-the-art solutions.
Static and dynamic thermal characteristics of IGBT power modules

This paper discusses the thermal behavior of an IGBT power module under static and dynamic conditions. Thermal interference and solder size effects were investigated. In the dynamic response, the thermal impedance was characterized by two transition times. For a pulse width modulation (PWM) scheme, conduction and switching losses are considered and a RC component model is proposed to predict the thermal characteristics in steady state periodic condition.
Dark Environment Motion Analysis Using Scalable Model and Vector Angle Technique

Detecting human existence in video streams is a fundamental task in many video processing applications. In this paper, a novel procedure is produced to model, analyze and recognize human motions (jogging and walking in dark environment) in video streams. There are four major areas that are related in this project for human motion analysis: (1) developing human body structure based on human skeleton model, (2) tracking and data collecting human motion with side view, (3) recognizing human activities from image sequences, and (4) image processing technique using edge detection and vectors angle calculation. All algorithms are developed using MATLAB software. Segmentation is developed to reduce the amount of data and filters out the useless information. Two methods are proposed for angle calculation and activities classification. Results showed that angle between 153.76°-180° for method 1 and 49.64°-92.86° for method 2 is classified as walking while jogging is 95.17°-138.72° for method 1 and 22.62°-56.31° for method 2.
Study of distributed algorithm for water sources monitoring based on wireless sensor networks

In order to improve the coverage of wireless sensor networks in the environment of water quality monitoring, the paper proposes a distributed algorithm which is based on diamond-shaped virtual force. In this algorithm, the differences between measurements and current calculated distances are modeled into forces, dragging the nodes close to their actual positions. Based on the diamond method, the algorithm can determine the predefined threshold of virtual force and optimize the global distribution. Compared with the simulation of existing algorithms, it is proved to have superior performance.
Maintenance Planning for Road Pavements and Structures—Commonality of Principles and Procedures

Pavements and bridges are the main components of a road infrastructure system. Both essentially perform a structural function in that they transfer the traffic loads to the foundation level or sub-grade below. In order to achieve a common rational approach for determining and funding their maintenance expenditure, it is necessary to understand the overall engineering processes involved in predicting and planning maintenance work in the two areas, their differences and similarities. Clearly, some of the differences will be fundamental, while others are nothing more than the same processes in a different guise. This paper is intended to provide an overview of the similarities and differences in the maintenance procedures used for road pavement and structures.
Bridge pier scour prediction by gene expression programming

Extensive research has been carried out to predict bridge pier scour, with laboratory and field data, using different modelling techniques. This study introduces a new soft computing technique called gene expression programming (GEP) for pier scour depth prediction using field data. A functional relationship has been established using GEP and its performance is compared with other inductive modelling techniques such as artificial neural networks (ANNs) and conventional regression-based techniques. Field data comprising 370 data sets were collected from the published literature and divided into calibration and validation (testing) data sets. The performance of GEP was found to be satisfactory and encouraging when compared with regression and ANN models in predicting bridge pier scour depth. GEP has the unique capability of providing a compact and explicit mathematical expression for computing bridge scour. This advantage of GEP over ANN is one of the main motivations for this work. The resulting GEP models.
Collaborative design in a networked enterprise: the case of the telecommunications industry

New product and service development is a highly interactive social process and is challenging enough when the activity is largely contained within one organizational unit. However, the complexity and challenges increase and magnify when the process involves a network of organizations with different goals, capabilities and dependencies. This paper takes an in-depth look at six new product and service development cases involving a network of organizations within the telecommunications industry. We are able to learn about the complex patterns of interaction across the value chain and uncover the nature of the process complexity and its impact on new product performance. Based on these insights, we discuss how managers can better manage these complex and challenging new product development processes in a networked enterprise.
A Model‐Based Approach to Unifying Disparate Project Management Tools for Project Classification and Customized Management

Modern project managers are aware that different types of projects need different styles of project management. A construction project is very different from a high‐tech research program in several ways, including how each is managed. The NTCP “Diamond” framework (Novelty‐Technology‐Complexity‐Pace) suggests classifying complex projects according to four dimensions such that the values attributed to each of these dimensions indicate a recommended style of management for increasing the likelihood of the project's success. It may be difficult to attribute values to these four dimensions in a large and complex project, which calls for systematic analysis of the project as part of its planning phase. The object‐process methodology (OPM) caters to such systematic step‐by‐step analysis by decomposing a project into its fundamental building blocks – objects, possibly with states, and processes that transform the objects. This paper suggests that the confluence of OPM and NTCP can improve the project planning phase and improve the project's overall chances of success.
Safety Evaluation of Mass Transit Systems by Reliability Analysis

A problem-independent concept for the reliability analysis of complex systems is presented. A method of system reliability analysis which is based on a selection of generally applicable mathematical models and computer programs for efficient numerical evaluation of the models emerges from this concept. A general safety model based on the same reliability analysis techniques and procedures is presented. A case study shows the application of the safety models and the methods of reliability analysis.
Bonding of a complicated polymer microchannel system for study of pressurized liquid flow characteristics with the electric double effect

Liquid flow characteristics with the electric double-layer (EDL) effect are studied in a microchannel made by polymer materials. The microchannel is integrated with arrays of a polymer pressure sensor for measurements of the local pressure distribution inside the channel. The bonding of this complicated microchannel requires special caution not only to ensure good contact between the channel walls and the cover plate leading to correct height of a channel but also to avoid liquid leakage at higher pressure. A bonding technique is developed in this work, which can be readily applied in a complicated lab-on-chip system for the study of micro-fluid behavior. The completed channel system with arrays of micro pressure sensors is used to study both the entry and fully developed flow of pure water. The accurate measurements of the pressure distribution along the channel clarify many of the conflicting issues reported in the microchannel flow system. It is found that the friction factor of liquid flow in the microchannel agrees well with the prediction accounting for the aspect ratio of the channel. The EDL effect on the local pressure drop, which may frequently occur in the liquid flow system, is also discussed and presented.
Micromachined H-plane horn antenna manufactured using thick SU-8 photoresist

A micromachined H-plane horn antenna designed at 63 GHz is presented. The horn is integrated with an air filled coaxial line to ridge waveguide transition with the ridge waveguide feeding the horn. The antenna is constructed by bonding five layers of gold coated SU-8 photoresist, each 200 m-thick. The performance has been validated experimentally using on-wafer probe measurements. A good match is achieved with low return loss obtained at the designed operating frequency. This proposed design is to be used in three-dimensional phased array beamformers.
EXIT-Chart-Based Design Method for Noncoherent LDPC-Coded Modulation in Correlated Rayleigh Fading Channels

In the paper, we investigate LDPC-coded differential amplitude/phase modulation (APM) schemes for correlated Rayleigh fading channels. Through the observation for the mutual information of the extrinsic log-likelihood ratio (LLR) values of the variable nodes in the LDPC decoder, it is found that the code design methods investigated in the previous literature loses their accuracy. Consequently, a modified code design method for the outer LDPC code is proposed in this paper. It is shown that the searched LDPC code effectively improves the error performance, when compared to the convolutional-coded scheme investigated in the previous literature.
The Time Domain Analysis of the Flutter of Wind Turbine Blade Combined with Eigenvalue Approach

The aeroelasticity and the flutter of the wind turbine blade have been emphasized by related fields. The flutter of the wind turbine blade airfoil and its condition will be focused on. The eigenvalue method and the time domain analysis method will be used to solve the flutter of the wind turbine blade airfoil respectively. The flutter problem will be firstly solved using eigenvalue approach. The flutter region, where the flutter will occur and anti-flutter region, where the flutter will not occur, will be obtained directly by judging the sign of the real part of the characteristic roots of the blade system. Then the time domain analysis of flutter of wind turbine blade will be carried out through the use of the four-order Runge-Kutta numerical methods, the flutter region and the anti-flutter region will be gotten in another way. The time domain analysis can give the changing treads of the aeroelastic responses in great detail than those of the eigenvalue method. The flap displacement of wind turbine blade airfoil will change from convergence to divergence, and change from divergence to convergence extremely suddenly. During the flutter region, the flutter of wind turbine blade will occur extremely dramatically. The flutter region provided by the time domain analysis of the flutter of the blade airfoil accurately coincides with the results of eigenvalue approach, therefore the simulation results are reliable and credible.
A multimodal sensor system for runway debris detection

For foreign object detection on runways, highly sensitive radar sensors give the opportunity to detect even very small objects, metallic and non-metallic, also under adverse weather conditions. As it is desirable for airport applications to install only small but robust installations along the traffic areas, millimeter-wave radars offer the advantage of small antenna apertures and miniaturized system hardware. A 220-GHz radar was developed, which is capable to serve this application, if several of these are netted to cover the whole traffic area. Although under fortunate conditions the radar allows a classification or even an identification of the debris, the complete system design incorporates 3-D time-of-flight cameras for assistance in the identification process, which are also distributed along the traffic areas. The system approach further relies upon a change detection algorithm on the netted information to discriminate non-stationary alarms and reduce the false alarm ratio.