Miracle-dz/UniFAR-FTUs huggingface dataset:
Combination of stub‐loaded and DMS techniques for planar monopole size reduction

In this study, a new technique is presented to reduce the dimensions of a strip line monopole antenna. A combination of stub‐loaded and defected microstrip structure (DMS) methods are employed to design and built a prototype of a reduced planar monopole performing at UHF band (650 MHz). The method allows achieving a size reduction close to 50%, without modifying, significantly, the parameters of the antenna, including gain, radiation pattern, and polarization. The antenna is suitable to perform in personal communications and can be the basis to extrapolate the application to planar arrays. © 2011 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2012.
Distribution, Abundance and Parasitoids Associated with Cryptaspasma perseana (Tortricidae) in Mexican Creole Avocado (Persea americana var. Drymifolia) Cultivars from Nayarit, Mexico

ABSTRACT. Avocado cultivation in the State of Nayarit, Mexico is limited by various phytosanitary problems. Recently, the seed borer Cryptaspasma perseana (Lepidoptera: Tortricidae) was detected in the municipalities of Tepic and Xalisco. Its status as a potential avocado pest and its natural enemies under these agroecological conditions are unknown. The aim of this study was to determine the distribution, abundance and parasitoids of C. perseana in Nayarit. We conducted field surveys from August to December 2019 and October 2020 in 25 avocado orchards planted with “Hass” and Mexican creole distributed in six municipalities. The seed borer was only found in orchards of Criollo avocado cultivars (Persea americana var. Drymifolia) avocado orchards. Hymenopteran parasitoids were obtained from seed boring larvae, belonging to the genera Xiphosomella (Ichneumonidae) and Pseudophanerotoma (Braconidae), the latter being the most abundant. Both genera are new records for Nayarit State and could be the potential native parasitoids of C. perseana.
Genital infection with Ureaplasma urealyticum and its effect on pregnancy

Chorioamnionitis or intra-amniotic infection is an infection that affects the intrauterine content during pregnancy. Numerous studies have reported vaginal colonization with various types of infectious agents as a risk factor for chorioamnionitis. Although this complication occurs due to the ascending polymicrobial bacterial infection at the time of membrane breakage, it may also occur in pregnant women with intact membranes, mainly due to Ureaplasma urealyticum (U. urealyticum) and Mycoplasma hominis (M. hominis). The main aim of the present study was to identify a region-specific panel of infectious agents that can be used more accurately determine premature birth, as well as the premature rupture of membranes (PROM). Thus, a 10-year retrospective study was conducted. A total of 1,301 pregnant women with PROM and premature birth or spontaneous abortion were included in the study. It was observed that the main infectious agent varied in the five groups analyzed in total. The infectious agent distribution also varied depending on environmental parameters. Ureaplasma was found to be the most frequently detected germ amongst the infectious agents of the vaginal cultures from pregnant women enrolled in the present study, regardless of gestational age. On the whole, the findings of the present study suggest that additional studies are required, in order to confirm that diagnosis and treatment according to laboratory results of vaginal infections with U. urealyticum/M. hominis during the first trimester of pregnancy could prevent premature birth, abortion or chorioamnionitis.
Capacity allocation strategies in a hypothetical job-shop

In today's manufacturing environment, many companies are stressing due date performance and inventory levels as primary measures of shop performance. This is contrary to the traditional performance measure of resource efficiency. In response to this changing emphasis, and partly due to the success of many Japanese companies that emphasize inventory reduction and due date performance, companies may seek to add capacity cushions in an attempt to become more responsive to customer demands. In this paper, several strategies are studied to determine how best to allocate the additional capacity. Results suggest that the choice of allocation strategy is dependent on the level of fluctuations in the manufacturing process.
Design techniques for reducing the cogging torque in surface-mounted PM motors

Several techniques may be adopted in motor design of surface-mounted permanent magnet motors in order to reduce the cogging torque. This paper describes the various techniques, (both classical and innovative techniques), giving for each of them a theoretical justification. To this aim, a simple original model of the cogging torque mechanism and a Fourier analysis are introduced. As a result, it is highlighted that some techniques are not always utilizable, and some of the well known ones may be even depreciatory when not used correctly. In addition, effects on back EMF are discussed.
Predictive Control for Wireless Networked Systems in Process Industry

Wireless networks in industrial process control enable new system architectures and designs. However, wireless control systems can be severely affected by the imperfections of the communication links. This thesis proposes new methods to handle such imperfections by adding additional components in the control loop, or by adapting sampling intervals and control actions.First, the predictive outage compensator is proposed. It is a filter which is implemented at the receiver side of networked control systems. There it generates predicted samples when data are lost, based on past data. The implementation complexity of the predictive outage compensator is analyzed. Simulation and experimental results show that it can considerably improve the closed-loop control performance under communication losses.The thesis continues with presenting an algorithm for controlling multiple processes on a shared communication network, using adaptive sampling intervals. The methodology is based on model predictive control, where the controller jointly decides the optimal control signal to be applied as well as the optimal time to wait before taking the next sample. The approach guarantees conflict-free network transmissions for all controlled processes. Simulation results show that the presented control law reduces the required amount of communication, while maintaining control performance.The third contribution of the thesis is an event-triggered model predictive controller for use over a wireless link. The controller uses open-loop optimal control, re-computed and communicated only when the system behavior deviates enough from a prediction. Simulations underline the methods ability to significantly reduce computation and communication effort, while guaranteeing a desired level of system performance.The thesis is concluded by an experimental validation of wireless control for a physical lab process. A hybrid model predictive controller is used, connected to the physical system through a wireless medium. The results reflect the advantages and challenges in wireless control.
American Road Map for Research for Nanotechnology-Based Concrete Materials

The mechanical behavior of concrete materials depends to a large extent on structural elements and phenomena that are effective on micro- and nanoscales. The nanomodification of concrete materials has the potential to open up new uses and classes of concrete materials, with wideranging implications for the concrete transportation infrastructure. The development of nanotechnology-based concrete materials will require a multidisciplinary approach, consisting of teams of civil engineers, chemists, physicists, and materials scientists. To help develop nanotechnology-based concrete materials, a concentrated effort was undertaken in the United States to develop a national road map for research in this area. This effort included two National Science Foundation (NSF) workshops held in August 2006 and September 2007. In addition to NSF, the Portland Cement Association, the Defense Threat Reduction Agency, the Florida Concrete and Products Association, the Army Corps of Engineers, TRB, and the International Union of Testing and Research Laboratories for Materials and Structures sponsored this effort. The road map for nanotechnology-based concrete materials charts a path beginning with current nanotechnology capabilities to advanced materials and systems. The road map details key milestones and step-by-step short-term, intermediate, and long-term courses of development that must take place to reach these key milestones. The road map also serves as a tool to identify the gap between the basic concrete materials of today and the potential of nanosystems and nanomaterials interacting in concrete nano-houses, nano-bridges, and nano-pavements. The national road map for nanotechnology-based concrete is described and discussed.
An exploration of spatial differences and influencing factors of migrant attainment in Chinese cities

ABSTRACT Spatial inequality in migrant attainment has become a core issue in migrant welfare and urbanization. This paper investigates the spatial differences and related factors of migrant attainment in 337 Chinese cities using national survey data and applying the factor analysis method. The results indicate that migrants’ challenges in the economic and residential dimensions contribute the most to the relatively low degree of migrant attainment. The spatial distribution of migrant attainment is reflected in higher grades clustered in blocks in separate provinces. The economic and residential dimensions have opposite outcomes and reveal differences between China's north and south. The cultural and psychological dimensions are homogeneous, and the civil rights dimension is zonal. The spatial pattern of migrant attainment is jointly shaped by both the characteristics of the receiving cities and the migrants themselves. Hindrance factors involving policy differentiation and spatial barriers have the greatest impact. This paper puts into practice the theory of human-space relationship, provides a deeper research connotation, and delves deeper into the role of migrants and receiving cities. These ﬁndings provide an path to increase migrant attainment and spatial equality: determine the spatial characteristics – clarify the dimensions of lower migrant attainment – address the key influencing factors.
Failure analysis of ULSI circuits using photon emission

A real-time failure analysis technique for ULSI circuits using photon emission is proposed. This technique utilizes a photon detection system combined with a circuit tester. Improved failure detection is achieved because the tester can bias arbitrary blocks in the ULSI chip. Detecting and correct process defects and design errors improves the reliability of the ULSI chip. >
Advantages of an Ornithopter against an Airplane with a Propeller

The goal of our research is to develop a micro air vehicle (MAV) that is strongly stable in a wind gust. After observation of flights of an insect and a bird, we conjectured that an ornithopter would be a promising candidate as a high-performance MAV. In this paper we demonstrate the clear advantage of an ornithopter over an airplane with propellers. The variations in the aerodynamic forces acting on the two aircrafts, which generate the same thrust under the condition of no wind gust, were compared when they encountered gusts of wind. The consumed power, or alternately the period of one cycle of flapping motion and that of one rotation of propeller(s), remained constant before and after they encountered a wind gust. The following results were obtained: The variations of the aerodynamic force of an ornithopter by vertical and frontal wind gusts were slightly smaller than those of an airplane with one or two propellers. The variation in the aerodynamic force of the former by a side wind gust was smaller than that of the latter when the tip speed of the propeller and the flapping amplitude of the ornithopter were small.
A Study on the Dynamic Characteristics of an ER Fluid Controlled Displacement Transmitter with Two Output Units

In this paper, a novel array-type dynamic displacement output transmitter utilizing the tunable viscoelastic property of the electrorheological fluid as a control valve mechanism is studied. The characteristics of this ER valve are modeled theoretically and its major design parameters are identified thereafter. In addition, by applying electric field upon the concentric electrodes of the ER valve, the controllability of the output displacement due to the change in the stiffness and damping properties of the ER fluid is investigated experimentally. It is found that the cross-talk between two output units is insignificant in this design setup and therefore, two units can be operated independently. Finally, the transient responses of the output fluid chamber under the pulse-type controlled electric field with different duty time and phase are measured. It is concluded that under the sinusoidal excitation of the displacement amplitude, the output chamber can have minimal response as the controlled electric field is at its highest permissible magnitude and zero phase lag.
The Fabrication of Management Accounting Systems – Why, How and What are the Consequences? A Romanian Testimony

There is a significant body of literature on management accounting systems and their roles in organizations, based on a broad range of theories. An interesting setting for research is developing economies, because of the nature of changes characterizing their economical and accounting environment. The issue of accounting change is a fruitful field of research for management accounting (Atkinson et al., 1997), yet little is known regarding the practice of management accounting (change) in Romania. The purpose of this paper is in this context, to explore and understand the process of fabrication (in Latourian terms) of management accounting systems in several Romanian companies. Data for this study were collected between 2005 and 2010 from 20 companies acting in the constructions field. We find that an originally-well designed and internally-supported system may be detracted from its initial purposes and use via complex relationships between the actors constituting the project’s network (each of whom are animated by their own interests). This is a testimony about management accounting change and failure in our country.
A General Method for Semi-Active Feedback Control of Variable Friction Dampers

Although there are many well-established control methods for vibration mitigation of seismic structures with active devices, their direct application for structures with semi-active control devices are limited. This limitation is primarily contributed by the fact that a semi-active device can only provide a resistant (passive) force to the controlled structure. In this paper, a general method for semi-active feedback control of seismic structures with variable friction dampers (VFD) is proposed. In order to overcome the force limitation of friction dampers, the method forms a semi-active feedback gain by multiplying an active gain with Heaviside functions. Based on this method, two newly developed control laws, i.e., semi-active modal control and semi-active optimal control were numerically investigated. A multiple DOF structural system with various sensor deployments, for either full-state or direct-output feedbacks was considered in the numerical study. The performances of both semi-active control laws for seismic vibration mitigation were compared with those of passive and active controls. The numerical results showed that both semi-active controls resulted in better acceleration reductions than the passive case and were able to closely imitate the performance of their active control counterparts.
The Scottish Brain Health Service Model: Rationale and Scientific Basis for a National Care Pathway of Brain Health Services in Scotland

In order to address the oft-cited societal, economic, and health and social care impacts of neurodegenerative diseases, such as Alzheimer’s disease, we must move decisively from reactive to proactive clinical practice and to embed evidence-based brain health education throughout society. Most disease processes can be at least partially prevented, slowed, or reversed. We have long neglected to intervene in neurodegenerative disease processes, largely due to a misconception that their predominant symptom — cognitive decline — is a normal, age-related process, but also due to a lack of multi-disciplinary collaboration. We now understand that there are modifiable risk factors for neurodegenerative diseases, that successful management of common comorbidities (such as diabetes and hypertension) can reduce the incidence of neurodegenerative disease, and that disease processes begin (and, crucially, can be detected, reduced, and delayed, prevented, or treated) decades earlier in life than had previously been appreciated. Brain Health Scotland, established by Scottish Government and working in partnership with Alzheimer Scotland, propose far-reaching public health and clinical practice approaches to reduce neurodegenerative disease incidence. Focusing here on Brain Health Scotland’s clinical offerings, we present the Scottish Model for Brain Health Services. To our knowledge, the Scottish Model for Brain Health, built on foundations of personalised risk profiling, targeted risk reduction and prevention, early disease detection, equity of access, and harnessing comprehensive data to assist in clinical decision-making, marks the first example of a nationwide approach to overhauling clinical, societal, and political approaches to the prevention, assessment, and treatment of neurodegenerative disease.
Active sensing and characterization of nonlinear damages by modulated phases and envelopes of scattered waves

In this paper, a sensing methodology is developed and experimentally investigated to detect and characterize damages, which are essentially accompanied by changes in the micro/macroscopic condition of surface contact. The proposed technique is developed mainly for early detection of loose bolted joints, but also may be applicable to kissing bonds in adhesive joints and breathing cracks under the operational condition. The presented sensing system consists of PZT patches attached on the structural surface, one of which acts as a transmitter of high frequency harmonic wave. The incident harmonic wave is scattered by the contact surfaces which potentially involve damages, and received by the other patches. When the structure is subjected to the operational or ambient load at low frequencies, it vibrates, and the inherent damages may introduce a nonlinear effect to the vibro-acoustic dynamics that induces an interaction between the low frequency structural vibration and the high frequency transmitted wave. This nonlinearity is observed as the amplitude and phase modulation of the received wave due to the changes in the scattering characteristics synchronous with the structural vibration. By investigating the relationship between the modulations and the structural vibration, the nonlinear characteristics of the damages can be specified. Experiments using a beam with a bolted joint are conducted for illustrative purpose.
Rolling Element Bearing Fault Time Series Prediction Using Optimized MCKD-LSTM Model

This paper realizes early bearing fault warning through bearing fault time series prediction, and proposes a bearing fault time series prediction model based on optimized maximum correlation kurtosis deconvolution (MCKD) and long short-term memory (LSTM) recurrent neural network to ensure bearings operation reliability. The model is based on lifecycle vibration signal of the bearing, to begin, the cuckoo search (CS) is utilized to optimize the parameter filter length L and deconvolution period T of MCKD, taking into account the influence and periodicity of the bearing time series, the fault impact component of the optimized MCKD deconvolution time series is improved. Then select the LSTM learning rate α depending on deconvolution time series. Finally, the dataset obtained through various preprocessing approaches are used to train and predict the LSTM model. The average prediction accuracy of the optimized MCKD-LSTM model is 26 percent higher than that of the original time series, proving the efficiency of this method, and the prediction results track the real fault data well, according to the XI'AN JIAOTONG University XJTU-SY bearing dataset.
A MATHEMATICAL MODEL FOR MOUNTAIN WAVE IN A STRATIFIED ROTATING ATMOSPHERE ACROSS WESTERN GHATS

1. How does a fluid behave, when it crosses an obstacle ? It is a interesting problem of fluid dynamics. Challenges to this subject have been attempted by many researchers. Due to orographic waves, the pressure is systematically higher on the upwind slopes than the downward slopes and thus exerting a net force on the ground. This pressure force is known as pressure drag or mountain drag. It is one of the sinks in the atmospheric budget.
Design and Implementation of Location Based Silver Town u-Service System

In this paper, the u-Service system that is based on location-aware technology is designed and implemented for a silver town. On the real silver town the developed system has been employed and tested to provide convenient and secure living for residents. It provides services such as emergency call, intelligent elevator operation, and hands-free door access based on the location of the residents with personal device as called smart tag. It can also be applied to other service areas such as the location-aware u-Service for hospital, high-rising complex building, APT, etc.
Influence of end winding leakage in permanent magnet excited synchronous machines with asymmetrical rotor design

The authors describe the influence of the stator end winding coils on an asymmetrical rotor. Experimental investigations have shown, that the expected dynamic behaviour and torque output reduces enormously, when the motor length becomes shorter. These effects are pointed out with a rotor with interior radial buried magnets and short motor length by 3D field calculations. A current control method is applied to use the reluctancy of this rotor and to reach minimal current consumption. Due to the saturation, 3D- finite elements field calculations are compared with the 2D- finite element field calculation. Methods for torque estimation are discussed. Different rotor lengths are taken into account and a difference of rotor length to stator length is examined. To regard the effect of saturation, different current levels are calculated.
Development of a spined underwater biomimetic vehicle with SMA actuators

We present here our progress towards the development of a type of biomimetic active hydrofoil that utilizes Shape Memory Alloy (SMA) actuator technology. The actuation is presently applied to the control of hydrodynamic forces and moments, including thrust generation, on a 2D hydrofoil. The SMA actuation elements are two sets of thin wires (0.015' to 0.027') on either side of an elastomer element that provides the main structural support. Controlled heating and cooling of the two wire sets generates bi-directional bending of the elastomer, which in turn deflects (for quasi-static control) or oscillates (for thrust generation) the trailing edge of the hydrofoil. The aquatic environment of the hydrofoil lends itself to cooling schemes that utilize the excellent heat transfer properties of water. The SMA actuator was able to deflect the trailing edge by +/- 5 degree(s) at rates as high as 2 Hz. FEM modeling of hydrofoil response to thermoelectric heating has been carried out using a thermomechanical constitutive model for SMAs. FEM predictions are compared with experimental measurements.