Miracle-dz/UniFAR-FTUs huggingface dataset:
A Foster-Type Partial-Element Equivalent Circuit Model for the Modeling of Wire Structure in Rectangular Enclosures

For the modeling of wire structures in rectangular metallic enclosures, a Foster-type partial-element equivalent circuit model is presented. The model is based on the electric field integral equation of the wire structures. The integral equation is converted to a circuit network adopting the method of moment and the Kirchhoff's voltage law. The dyadic Green's functions for a three-dimensional (3-D) rectangular cavity are used. The circuit elements and the controlled sources are realized by the Foster-type circuit model. Application examples validate the accuracy and efficiency of the presented model.
Derivation of Brightness Scales Using Partition Scaling

ABSTRACT To capture the relationship between the magnitude of an optical stimulus (e.g. luminance) and its perceived brightness, a number of psychophysical procedures can be used. One of the oldest procedures capable of capturing such a relationship is partition scaling (PS). A PS procedure constructs an interval scale of a psychological attribute (e.g. brightness) directly from the judgements of observers. It is rarely used in visual research, despite being one of the oldest psychophysical procedures. PS is investigated on its robustness, susceptibility to possible biases and its speed. Partition scaling experiments with simple achromatic discs were set up to obtain brightness scales as a function of luminance. In total four luminance ranges were investigated: three subranges (low-, mid- and high-range) equally divided from 5 to 175 cd/m2 and one overlapping full-range. Results show that observers had difficulties in accurately estimating the mid- and high-ranges, because the brightness of the two anchor discs was too similar. However, perceptual brightness scales could be obtained for the full- and low-range. To reduce cumulative errors and increase observer accuracy, an improved PS method was implemented. Results show that PS is a valid, rapid psychophysical procedure capable of capturing a brightness scale without the need of prior knowledge of the psychophysical brightness function.
Modeling and Simulation of a Novel Active Three-Phase Multilevel Power Factor Correction Front End – The “Negev” Rectifier

This paper presents a modification of the Vienna rectifier (VR) to obtain more than three voltage levels at the DC line connection, while preserving the unity power factor at the AC grid side. The proposed unidirectional multilevel there-phase rectifier, called the “Negev rectifier”, has a reduced device count and utilizes a unique novel Time Division Multiplexed based control scheme, which makes the challenging N-level VR expansion possible. The Negev rectifier can serve as a grid interface for supplying dc voltage to multilevel inverters with 4 up to 7 voltage levels, eliminating the burden of inverter-side voltage balancing control. The Negev hardware can be constructed by two complementary topologies, making it suitable for either high current or high voltage applications.
Experimental and computational investigation of energy ball wind turbine aerodynamic performance

Small-scale wind turbines with innovative design are introduced for small applications, providing clean renewable energy to rural homes, street lighting, and hybrid systems. Energy ball wind turbine, known as Venturi wind turbine, has untraditional blades’ shape and special aerodynamic behavior that creates a venturi effect on the air stream passing through its aspherical shape. This article represents an integration of computational fluid dynamics and wind tunnel experimentation to study the aerodynamic performance of a manufactured model of energy ball wind turbine. Physical models with different twist angles were fabricated and tested in a small wind test section. In these experiments, dynamic torque, angular velocity, and coefficient of performance values were measured at different speeds. The experimental power coefficient results were discussed showing the best-tested twist angle. Fluid flow simulation has been developed in ANSYS FLUENT software. The findings of these numerical simulations have provided pressure contour, velocity contour, and torque values which help to study the solidity effect on turbine’s power coefficient. Nevertheless, the velocity contours provided from the computational analysis ensure the Venturi effect of the energy ball wind turbine design.
Intelligent Three Tie Contactor Switch Unit-Based Fault Detection and Isolation in DC Microgrids

Faults in dc microgrids require quicker interruption than those in traditional ac power systems. This is due to the reduced stiffness of dc microgrids being powered by low inertia distributed energy resources interfaced through power electronic converters. For a high impedance fault, the limited magnitude of the fault current poses additional challenges in detection and identification of fault location in the system, with difficulty in distinguishing the fault condition from the normal operating condition. This article proposes a new cost-effective protection system for fast identification, selective isolation of short circuit and high impedance faults, and system restoration in such dc microgrids. It is achieved through proper coordination of source converters with intelligent three tie contactor switch units (ICU) and there are no solid-state circuit breakers in action. The high impedance faults are identified through multi resolution analysis of the locally measured current signals with discrete wavelet transform and K-nearest neighbor-based classifier at each source converter and contactor. The selectivity is achieved through adaptive resistance time curves set by the programmable relay units installed at each ICU node in the system.
Dexterous Manipulation of Unknown Objects Using Virtual Contact Points

The manipulation of unknown objects is a problem of special interest in robotics since it is not always possible to have exact models of the objects with which the robot interacts. This paper presents a simple strategy to manipulate unknown objects using a robotic hand equipped with tactile sensors. The hand configurations that allow the rotation of an unknown object are computed using only tactile and kinematic information, obtained during the manipulation process and reasoning about the desired and real positions of the fingertips during the manipulation. This is done taking into account that the desired positions of the fingertips are not physically reachable since they are located in the interior of the manipulated object and therefore they are virtual positions with associated virtual contact points. The proposed approach was satisfactorily validated using three fingers of an anthropomorphic robotic hand (Allegro Hand), with the original fingertips replaced by tactile sensors (WTS-FT). In the experimental validation, several everyday objects with different shapes were successfully manipulated, rotating them without the need of knowing their shape or any other physical property.
Resilient Control Design for Lateral Motion Regulation of Intelligent Vehicle

This article studies the state-feedback resilient control problem for lateral motion regulation of an intelligent vehicle in the presence of randomly occurring uncertainties. First, the uncertain disturbance in an external yaw moment is compensated by the randomly occurring uncertainty when modeling the vehicle system, and a resilient controller by considering the randomly occurring uncertainty is developed, which is a more general case, but increases complexity of regulation design. Then, the resilient control condition is proposed to guarantee the sideslip angle and yaw rate satisfying the prescribed <inline-formula><tex-math notation="LaTeX">$\mathcal {H}_{\infty }$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$\mathcal {L}_2-\mathcal {L}_\infty$</tex-math></inline-formula> performance indexes. Moreover, <inline-formula><tex-math notation="LaTeX">$\mathcal {H}_{\infty }$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$\mathcal {L}_2-\mathcal {L}_\infty$</tex-math></inline-formula> performance indexes of control outputs are merged into one linear matrix inequality. Finally, an illustrative simulation is given to show the effectiveness of the proposed resilient control design.
Global Navigation Satellite System‐based positioning technology for structural health monitoring: a review

Global Navigation Satellite System (GNSS) positioning technology has had widespread applications in the structural health monitoring as its overall performance has improved significantly in the last two decades. It is capable of providing timely and accurate structural vibration information such as dynamic displacements and modal frequencies at higher performance than traditional accelerometers. The studies summarized in this paper focus on the improvement of the multi‐sensors and multi‐constellation data acquisition techniques, the improvement of multiple approaches for erroneous noise mitigation, and innovative modal parameter identification methods. We also detailed the applications of GNSS on the deformation monitoring for towers, chimneys, tall buildings, and bridges. With continuous enhancements in the algorithm and hardware of GNSS, it is expected that the application of GNSS technology can be expanded to other fields such as bridge cable‐force measurements and bridge weight‐in‐motion as well as structural deformation monitoring.
Evaluation of Hand-Tracking Systems in Teleoperation and Virtual Dexterous Manipulation

The quality of robotic dexterous manipulation, in real or in virtual environments, relies on a fine control of the fingertips to perform stable grasps and inside-hand manipulation. In practice, teleoperating a robotic hand requires to capture the human hand configuration. If the user manipulates objects with fingertips, the acquisition of their motion must be accurate enough to produce realistic manipulation at the robot hand or its virtual avatar. In this context, one challenge is to accurately capture the motion of the human hand. The performances of three different hand-tracking devices are evaluated in this paper: two data gloves, the VRFree and the Manus VR, and a vision-based system, the Leap Motion Controller. To this end, the positions of the human hand joints and fingertips are captured while performing several tasks, with a high-precision motion capture system as reference, and with the tested devices. The accuracy of the measured joint angles and fingertips positions is compared for the different systems. Specific measurement configurations are considered by varying the hand orientation and the distances to the sensors. The strengths and weaknesses of these different systems are deduced from the experiments. This system review gives insights into the relevance of hand-tracking devices for remote robotic or virtual manipulation.
End‐to‐end double JPEG detection with a 3D convolutional network in the DCT domain

Detection of double JPEG compression is essential in the field of digital image forensics. Although double JPEG compression detection methods have greatly improved with the development of convolutional neural networks (CNNs), they rely on handcrafted features such as discrete cosine transform (DCT) histograms. In this Letter, the authors propose an end-to-end trainable 3D CNN in the DCT domain for double JPEG compression detection. Moreover, they also propose a new type of module, called feature rescaling , to insert the quantisation table into the network suitably. The experiments show that the proposed method outperforms state-of-the-art methods.
Design and Characteristics Analysis of Coaxial Magnetic Gear for Contra-Rotating Propeller in Yacht

In this article, the design and characteristic research of the coaxial magnetic gear for the contra-rotating propeller in the premium yacht are presented. The scale-down model of 1/25 is reviewed as the research of the applicability of the coaxial magnetic gear. The space harmonic characteristics of the magnetic field in the coaxial magnetic gear with the low gear ratio from 1 to 2 are investigated, and the optimized models with the surface-mounted permanent magnet and quasi-Halbach array are obtained using the response surface method. In the several operating points of the diesel engine, the magnetic loss and the resultant thermal characteristics are analyzed and compared in each model. Finally, the desired coaxial magnetic for the contra-rotating propeller in the premium yacht is achieved.
Analysis of a Fractional-Order Wireless Power Transfer System

This brief presents a fractional coupled model of fractional-order wireless power transfer (FOWPT) system based on the fractional calculus. By applying coupled-mode theory (CMT), dynamic characteristics of fractional systems can be described clearly while avoiding complex circuit models. The theoretical simulation results indicate that the FOWPT system has better characteristics and greater design freedom. Furthermore, the fractional coupled model is in good agreement with the circuit model and experiment, which proves the correctness of the generalized fractional coupled mode equations. Therefore, the fractional coupled model provides a valuable tool for the further analysis of FOWPT systems and may be used in other fractional-order resonant circuits.
In Vitro and In Vivo Testing of Zinc as a Biodegradable Material for Stents Fabricated by Photo-Chemical Etching

There is an increasing interest in biodegradable metal implants made from magnesium (Mg), iron (Fe), zinc (Zn) and their alloys because they are well tolerated in vivo and have mechanical properties that approach those of non-degradable metals. In particular, Zn and its alloys show the potential to be the next generation of biodegradable materials for medical implants. However, Zn has not been as well-studied as Mg, especially for stent applications. Manufacturing stents by laser cutting has become an industry standard. Nevertheless, the use of this approach with Zn faces some challenges, such as generating thermal stress, dross sticking on the device, surface oxidation, and the need for expensive thin-walled Zn tubing and post-treatment. All of these challenges motivated us to employ photo-chemical etching for fabricating different designs of Zn (99.95% pure) stents. The stents were constructed with different strut patterns, made by photo-chemical etching, and mechanically tested to evaluate radial forces. Stents with rhombus design patterns showed a promising 0.167N/mm radial force, which was comparable to Mg-based stents. In vitro studies were conducted with uncoated Zn stents as control and Parylene C-coated Zn stents to determine corrosion rates. The Parylene C coating reduced the corrosion rate by 50% compared to uncoated stents. In vivo studies were carried out by implanting photo-chemically etched, uncoated Zn stent segments subcutaneously in a C57BL/6 mice model. Histological analyses provided favorable data about the surrounding tissue status, as well as nerve and blood vessel responses near the implant, providing insights into the in vivo degradation of the metal struts. All of these experiments confirmed that Zn has the potential for use in biodegradable stent applications.
Attitudes of Experienced Seafarers as Predictor of ISM Code Implementation: A Croatian Example

The aim of this paper is to identify what attitudes towards safety performance indicators influence the attitudes towards successfulness of ISM Code implementation among contemporary seafarers. Secondly, the goal of the research was to obtain insight into the seafarer’s attitudes towards the current state of ISM implementation and safety performance. Consequently, a sample of N=330 seafarers was examined regarding their attitudes towards safety performance variables and ISM Code implementation. By using multiple regression analysis it was concluded that well designed and structured safety rules and procedures, positive work environment and adequate communication can make significant contributions to seafarers’ attitudes towards ISM implementation.
Evaluation on efficacy of Methyldopa monotherapy and combination therapy with Nifedipine in pregnancy-induced hypertension

To find the effectiveness of methyldopa and methyld opa in combination with nifedipine to treat pregnancy-induced hypertension (PIH). A prospective study was conducted involving 105 pregnant women having PIH diagnosed after 20 weeks of gestation between May 2009 and Jan 2010. Patients were divided into two groups accordi ng to severity of the disease, Group 1 contains 55 patients (mild hypertension) and Group 2 contains 50 patients (moderate to severe hypertension). Group 1 was treated with methyldopa and Group 2 was treated with methyldopa and nifedipine. On treatment with methyldopa, the m ean systolic and diastolic blood pressure were found to decrease from 150.6 ± 6.9 to 121.2 ± 6.29 and 96 ± 6.21 to 82 ± 7.14 respectively. For the group of patients treated wit h methyldopa and nifedipine, the mean systolic and diastolic blood pressure were changed from 170. 5 ± 17.4 to 126 ± 8.83 and 112.5 ± 11.05 to 85 ± 6.88 respectively. Methyldopa was effective in controlling mild pregnancy induced hypertension and methyldopa with nifedipine as a co mbination was effective in controlling moderate to severe hypertension of both preeclampsi a and pregnancy induced hypertension patients.
Optimal economic–emission power scheduling of RERs in MGs with uncertainty

This study proposes a framework for economic–emission dispatch problem (EEDP) in microgrids (MGs). The problem of EEDP aims at finding the optimal scheduling of renewable energy resources (RERs) in isolated and grid-connected MGs. The EEDP is formulated as a non-linear constrained multi-objective optimisation problem. It minimises the total cost and emission simultaneously. Simulation results in nine different cases are conducted to emulate the complexity of the EEDP. Also, the proposed scheduling procedure is tested under abnormal operation of MGs considering unexpected increase in power demand, shortage of battery storage and partial shedding of photovoltaic units. These cases reveal the capability of the proposed method. A multi-objective function is employed to increase the economic benefits and minimise emission issues. In this line, the simulation results are obtained using an enhanced moth-flame optimisation (EMFO) algorithm. The obtained results verified the effectiveness, robustness and global convergence for minimising emission and generation costs. These results are compared with several well-known techniques in the literature. Notable economic and environmental benefits are achieved using the EMFO that lead to flexible scheduling of RERs for MG operation under uncertainty.
Advances in ICT in Design, Construction and Management in Architecture, Engineering, Construction and Operations (AECO): Proceedings of the 36th CIB W78 2019 Conference

Network FOuNTAIN is the Network For ONTologies And Information maNagement in Digital Built Britain, a project funded by the Centre for Digital Built Britain. The vision of the Network is for all stakeholders in Digital Built Britain (DBB) to be able to meet their information needs. With the establishment of concepts such as Building Information Modelling and Common Data Environments, built environment design, construction and operation are becoming increasingly information-intensive. The Network undertook five workshop activities between July and December 2018. This paper summarises the proceedings of these workshops, and in particular establishes future capabilities needed to realise the vision of DBB. The first workshop sought to establish the scope of “Information Management”. It was concluded that the capability to gauge Information Management Maturity was needed. The second and third workshops focused on ontologies and reviewed the variety of standards currently available. It was concluded that the capability was needed to establish the appropriate scope of standardisation, and to design or extend existing ontologies in general. The capability was also needed to develop current classification systems, schema and frameworks, Uniclass 2015 in particular, to maximise the potential to share data. The fourth workshop explored system requirements; it identified three modes of consuming information and the corresponding software requirements for each mode. The three modes identified are: Search & Retrieval, Browsing & Expiration and Information Delivery. The fifth and final workshop focused on business models and concluded that the capability was needed to identify and derive business value from Information Management. The paper closes with a research agenda required to deliver those capabilities. Fundamental research is needed to formulate a process of establishing the appropriate scope of standardisation for Information Management at project, organisation and industry levels. This research needs to unfold in the context of emerging related international standards.
A Mini Review of Microneedle Array Electrode for Bio-Signal Recording: A Review

Bio-signal recording is vital for human condition monitoring and early disease diagnosis. An electrode is a biosensor for bio-signal collection. The conventional wet electrode is not suitable for long-term bio-signal recording owing to the gradual drying of the electrolytic gel and increase in the electrode-skin interface impedance. Microneedle array electrode is a dry electrode that can painlessly pierce skin, form a contact interface between the microneedles and skin tissue, eliminate the high impedance of stratum corneum, weaken the motion artifact, and accurately record bio-signals without skin preparation and application of electrolytic gel. This review focuses on the recently developed fabrication techniques, the mechanical performance, and bio-signal recording performance of microneedle array electrode. The microneedle array electrode is a potential electrode for long-term bio-signal recording, although progress is required in terms of safety and scaled-up manufacture.
Data‐driven human‐like cut‐in driving model using generative adversarial network

In this Letter, the authors developed a data-driven human-like cut-in driving model using a generative adversarial network (GAN). When a vehicle cuts into the lane of another vehicle, complex interactions occur among the various vehicles. The purpose of the GAN driver model is to learn the human-driving abilities in complex and diverse situations. Using the Kullback–Leibler divergence evaluation method, the authors confirmed that the GAN driver model shows more human-like driving than the rule-based driver model.