Miracle-dz/UniFAR-FTUs huggingface dataset:
Endfire Beam Synthesis of Flush-Mounted Conformal Array with Large Periodicity Using Stochastic Algorithms

Endfire beam of a two dimensional array antenna is usually hard to realize as the array periodicity is usually much larger than a quarter of one wavelength. This paper demonstrates an endfire beam synthesis method of a flush-mounted conformal array with large array periodicity. The proposed beam synthesis method starts from the extraction of embeded radiation patterns of typical elements in the flush-mounted conformal array. Then an initial endfire beam is synthesized by equalizing the phase of the radiation field of every array element at the desired endfire direction. The initial endfire beam features high side lobe and back lobe level due to large array periodicity. The array excitation is optimized with two stochastic algorithms, i.e. genetic algorithm and differential evolution strategy, respectively, resulting in good endfire beam with low side lobe and back lobe level. The synthesis results demonstrate that differential evolution strategy is overwhelming in both execution efficiency and synthesis performance.
The influence of place attachment and leisure benefits on tourist satisfaction and tourist loyalty: A case study of internet-famous city

In order to better shape tourist satisfaction and loyalty, the theories of place attachment, leisure benefits, satisfaction, loyalty were used as the research perspective to research the formation mechanism of tourist satisfaction and loyalty. The structural equation model and bootstrap of Amos were utilized to test for direct and mediating effects. The study showed that: (1)place attachment can promote tourists' perception of leisure benefits;(2)place attachment is under a significant direct effect on tourist satisfaction and tourist loyalty;(3)leisure benefits make a significant positive impact on tourist satisfaction;(4)place attachment and leisure benefit influence tourist loyalty through tourist satisfaction;(5)the path ‘place attachment → leisure benefits → tourist satisfaction → tourist loyalty’ was verified, highlighting the essential role of leisure benefits and tourist satisfaction in the relationship between place attachment and tourist loyalty. The study suggests that the relevant departments of tourism destinations should pay more attention to establishing an emotional connection with tourists, improving service quality, and creating a good atmosphere for the travel experience.
Privateer: Multi-versioned Memory-mapped Data Stores for High-Performance Data Science

The exponential growth in dataset sizes necessitates the use of high-performance computing (HPC) for large-scale data science. Furthermore, the sizes of these datasets shift the performance bottleneck from the compute subsystem towards the memory and I/O subsystems. To address this shift, modern HPC clusters are equipped with low-latency and high-bandwidth storage devices, such as non-volatile memory, and, in turn, re-designed I/O subsystems to improve performance. However, an overlooked bottleneck arises due to the size of these storage devices being dwarfed by the storage footprint of large-scale data science applications. For instance, applications that process and store consistent snapshots of incrementally growing data streams require a significant storage footprint that far outstrips the size of the storage devices. To address this bottleneck, we present Privateer, a general-purpose data store that optimizes the tradeoff between storage space utilization and I/O performance. Privateer uses memory-mapped I/O with private mapping and an optimized writeback mechanism to maximize write parallelism and eliminate redundant writes; it also uses content-addressable storage to optimize storage space via de-duplication. We evaluate the effectiveness of Privateer by using it as the data-store management layer of Metall, a persistent C++ data structure allocator. Using a micro-benchmark that incrementally constructs and stores snapshots of an incremental graph data structure, Privateer can reduce the storage space used by approximately 30% while delivering comparable performance to the baseline Metall implementation.
Research on Multiple Mobile Robots Scheduling Based on Penalized Hybrid A * Algorithm and S- T Graph

With the wide application of mobile robots, multiple mobile robots scheduling problem has attracted much attention. When parked in a confined space, due to the fixed and single exit, mobile robots are easy to cause conflicts in the outbound process, resulting in low efficiency. In order to improve the overall performance of mobile robots, a scheduling scheme for multiple mobile robots is proposed in this paper. In view of mobile robots with complicated kinematic constraints, penalized hybrid A * algorithm is used to obtain a smooth path. The improved A * algorithm based on S- T graph is adopted to determine velocity of mobile robots assuring collision-free with moving objects. The experimental simulation demonstrates that the scheme can make multiple mobile robots of good performance leave the confined space as soon as possible along the smooth path.
Design of Cost-Effective BMS for PV Fed DC-Microgrid

Solar power generation is the future of clean and green energy. In developing countries like India, these DC homes are an effective path to reach electrification goals. Although the overall performance of a DC Home is good, in remote areas where the existing utility grid is not available, the cost of installation and maintenance is a burden. In a traditional PV system topology battery, the prime component of a DC Homes comes with a disadvantage of over current. Thus, there is periodic maintenance needed for the battery or far worst replacement. Alongside the conventional methods as the MPPT control algorithm, a Bidirectional DC-DC converter is used for DC bus voltage regulation. This paper has proposed a scheme for improving the lifetime of the battery. The Battery Management System stated here coordinates the charging and discharging control and employs scheduling of the battery bank for optimization of the battery performance.
CSI Ranging-based Wi-Fi Indoor Localization Error Analysis

Compared with the Wi-Fi Received Signal Strength (RSS) commonly-used for the indoor localization, the Channel State Information (CSI) can be used for precise ranging to achieve the high Wi-Fi indoor localization accuracy since it includes the fine-grained physical-layer information such as the amplitude and phase of each subcarrier during the signal transmission. Due to the lack of the theoretical analysis of the localization error bound in the existing CSI ranging-based localization methods, it is not easy to compare the ideal performance of different localization methods. Therefore, this paper proposes a CSI ranging-based Wi-Fi indoor localization error bound analysis method, which is based on the indoor signal propagation model to derive out the CSI ranging-based localization error bound by considering the relationship between the localization accuracy and the path loss, shadow fading, multipath effect and asynchronous effect. Besides, through the experimental comparison, this paper analyzes the difference between the actual localization error and the derived localization error bound, as well as discusses the impact of different experimental parameters on the localization performance.
Visual SLAM Based on Dynamic Object Detection

On the one hand, traditional visual SLAM does not consider dynamic objects in the scene, on the other hand, deep learning technology has been widely used in computer vision. This paper combines the two organically, and proposes an algorithm that uses dynamic object detection to improve the robustness of visual SLAM in a dynamic environment. Firstly, we use the object detection network integrated into the attention mechanism to detect the dynamic target in the key frame. Then, we follow the optical flow detection to further determine the dynamic feature points in the scene and eliminate them. Finally, we use the static feature points for camera tracking to achieve highly robust monocular visual SLAM. The method described in this paper can not only eliminate dynamic feature points, but also retain as many static feature points as possible. The method described in this paper is compared with the original ORB-SLAM2 algorithm and DS-SLAM algorithm, and tested with public data sets. The results show that the method described in this paper can effectively eliminate the influence of dynamic objects on the visual SLAM algorithm.
A review of creativity principles applied to engineering design

Abstract There is a very large amount of literature in the field of creativity outside the field of engineering that has potential for application to engineering design. This paper presents a review of the salient literature and identifies how creativity principles that are based on well-founded research may be applied to engineering design. The scope of the paper includes understanding creativity, creative style, invention and innovation, certain creativity tools and an understanding of the combinations of people, products, creative process and environment that are required to achieve high levels of creativity. A discussion of the application of creativity principles to engineering design is given.
Multi-Objective Robust Optimization for Planning of Mineral Processing under Uncertainty

The planning of mineral processing is crucial for improving the utilization ratio of nonrenewable raw mineral resources. However, in the optimization process, the uncertainty of raw ore grade poses a very important issue and it directly affects the optimization performance. To address the above-mentioned issues, an improved multi-objective robust optimization algorithm is proposed, which employs NSGA-II as the basic component assisted by the random elite immigrant scheme and robustness evaluation in batches strategy. The proposed strategy aims at realizing the optimization of the planning of mineral processing. Using real data from a mineral processing plant on iron ore beneficiation process has been carried out. Experiment results show that the proposed strategy can efficiently achieve the Pareto front of the multi-objective robust optimization problem under the disturbance.
Operating conflicts for distributed generation on distribution systems

Distribution systems have been designed to optimize the delivery of power in one direction. The installation of distributed generation (DG) in significant capacity will result in some conflicts with the operation of the system. A selected set of conflicts is described. One conflict might result in changes to overcurrent device timing and reach that degrade reliability and power quality for other customers on the feeder. Interconnection requirements can increase the risk of equipment damage due to ferroresonant overvoltages. Transformer connections for DG involve a tradeoff between harmonic current injections, the risk of overvoltages, protective device coordination, and transformer life. The paper also addresses voltage regulation issues that often arise from the application of DG on distribution systems.
Hardware Security Leak Detection by Symbolic Simulation

Aiming to expose security risks in hardware designs, we describe a novel usage of symbolic simulation that led to discoveries of previously unknown potential local data leakages on an Intel Core processor design. Symbolic simulation is an established formal verification method, the main vehicle for verification of arithmetic data-paths in Intel Core processor designs for twenty years. It extends traditional simulation by allowing symbolic variables in the stimulus, covering the circuit behavior for all possible values simultaneously. A special trait of symbolic simulation is that every variable has a name. In the security context, named values allow us to know the exact origin of data and identify data leakages by determining whether values are expected to be read by an operation or present a risk. Leveraging the existing formal verification infrastructure and observing an operation’s data dependencies we could identify local leaks without the need to have a complete functional specification for the operation.
5G/mm-Wave Next Generation RFID Systems for Future IoT Applications

With the promise of the massive deployment of 5G/mm-Wave technologies, low-maintenance and highly scalable wireless systems are desirable to meet the needs of the next generation IoT systems. Mm-Wave backscattering devices present great potential for IoT systems with their compact form factors, minimalist design, and available spectrum. This paper provides a review of the current state-of-the-art in semi-passive RFID/mmID tag technology, non-line-of-sight (NLOS) repeater architecture, and 5G/mm-Wave energy harvesting enabling low-latency wireless communication, precise localization, long-range capabilities, dense wireless sensor networks, and powering these next generation ultra-low-power RFID systems through the 5G wireless power-grid.
Multi-layer 3dB Directional Coupler Based on Half-mode Corrugated Substrate Integrated Waveguide

In this paper, a multi-layer half-mode corrugated substrate integrated waveguide (HMCSIW) 3dB directional coupler is proposed. The coupler is constructed by a dual-layer HMCSIW transmission structure with a array of holes on the middle metal plane. The stubs in HMCSIW can replace via-holes in HMSIW. Half-mode and muti-layer technology can both reduce the size of the device. So HMCSIW directional coupler not only maintains the advantages of HMSIW such as strong coupling, low cost and fabricating simplicity, but also can be used in more integrated circuits. The probability on HMCSIW circuit device design is first explored. This exploration will bring a great increase of application scope of HMCSIW technology. Compared to HMSIW directional coupler, the proposed coupler has a better coupling performance after optimization.
Water Quality and Crop Production Improvement Using a Wetland-Reservoir and Draining/Subsurface Irrigation System

In a wetland-reservoir system, tile drainage water and surface runoff water from agricultural fields are routed into a wetland reservoir, rather than into open-ended streams and drainage ditches. The collected water is then recycled back through a controlled tile drainage-subsurface irrigation system to provide subsurface irrigation during times of crop water deficit. The wetland reservoir provides wildlife habitat and serves as a sink to prevent off-site movement (loss) of water and sediments, and also provides a means for intercepting and recycling agricultural nutrients and chemicals via return irrigation. As a result, precipitation water is used more efficiently and the discharge of agricultural sediments and chemicals into off-site surface and ground water resources is substantially reduced. The controlled drainage/subirrigation system (CDS) reduced total nitrate loss by 41% compared to traditional tile drainage (DR). The CDS system also reduced losses of dissolved inorganic phosphorus, dissolved organic phosphorus and total dissolved phosphorus in tile drainage water by 18%, 47% and 36%, respectively, relative to the non-irrigated DR system. During the low rainfall growing seasons of 2001 and 2002, the CDS system increased corn grain yield by 91% (2001) and soybean yield by 49% (2002), relative to the DR system. Thus, the CDS system combined with a wetland-reservoir can be highly effective for improving crop yield and reducing non-point source pollution from agricultural fields.
Review of series and parallel connection of IGBTs

The availability of high power handling devices is of a great importance in the present power electronics industry. These high power ratings can be achieve by connecting existing devices in series or parallel depending on the application. The main problems associated with series and parallel connections are unequal sharing of voltage and current respectively. The active gate control techniques, snubber circuits and clamping circuits are some of the most common methods used to minimise the problem of unequal sharing of voltage and current. The aim of the paper is to review the available techniques to minimise the problems in series and parallel connections of insulated gate bipolar transistors.
Development and validation of business process reengineering (BPR) variables: a survey research in Slovenian companies

Business Process Reengineering (BPR) literature is based primarily on case studies and there is a lack of rigorous wide-ranging empirical research covering all its aspects. This paper presents the results of a survey research carried out in 73 medium and large-sized Slovenian manufacturing companies. Seven crucial areas were identified based on a synthesis of BPR literature, which must be practised to achieve effective process reengineering: management commitment, education & training, team work, BPR project characteristics, employee cooperation, information technology support, and levers & results. Variables have been constructed within these areas, using Likert scales, and statistical validity and reliability analyses. These developed variables can be important both for understanding BPR and in terms of the descriptive statistics, also reported in this paper. What emerges is the crucial importance of process orientation, goal setting, and top management commitment. Furthermore, these variables can be helpful for further research aimed at investigating BPR and its linkages with other areas, such as strategy, performance measurement, etc.
A Bandpass Filter With Switchable Frequency and Bandwidth on Substrate Integrated Waveguide

This paper presents a substrate integrated waveguide (SIW) bandpass filter with switchable center frequency and bandwidth (BW). PIN diodes are used to control the on-off between the via posts and the ground or to change the length of the slot line. When the via posts located in the middle of the resonator is grounded, the electric field is disturbed and the frequency rises. When the column at the coupling window is grounded, the coupling quantity decreases and the bandwidth also decreases. Thus the BWs and frequencies can be switched in the same filter. The SIW filter has three center frequencies that can be switched: 2.62 GHz, 2.86 GHz and 3.10 GHz. And there are two switchable BWs for each center frequency. Return loss is better than 13 dB and insertion loss range from 1.58 dB to 2.25 dB.
A subharmonically pumped resistive dual-HEMT-mixer

A novel subharmonically pumped high electron mobility transistor (HEMT)-based resistive mixer is described. The mixer is based on a paralleled HEMT-configuration where the LO (local oscillator) is applied to the gates with the same amplitude but with opposite phase. A mixer prototype was constructed at X-band. A conversion loss of 6.5 dB was measured at an LO-power level of 12 dB/sub m/. A high LO-IF (intermediate frequency) and LO-RF isolation is obtained intrinsically due to LO-cancellation. HEMT-devices were fabricated and characterized, and a nonlinear device model was developed and used in harmonic balance simulations. <<ETX>>
An amino residue that guides the correct photoassembly the water-oxidation complex but not required for high affinity Mn2+ binding

The assembly of the Mn4O5Ca cluster of the photosystem II (PSII) starts from the initial binding and photooxidation of the first Mn2+ at a high affinity site (HAS). Recent cryo-EM apo-PSII structures reveal an altered geometry of amino ligands in this region and suggest the involvement of D1-Glu189 ligand in the formation of the HAS. We now find that Gln and Lys substitution mutants photoactivate with reduced quantum efficiency compared to the wild-type. However, the affinity of Mn2+ at the HAS in D1-E189K was very similar to the wild-type (∼2.2 μM). Thus, we conclude that D1-E189 does not form the HAS (∼2.9 μM) and that the reduced quantum efficiency of photoactivation in D1-E189K cannot be ascribed to the initial photooxidation of Mn2+ at the HAS. Besides reduced quantum efficiency, the D1-E189K mutant exhibits a large fraction of centers that fail to recover activity during photoactivation starting early in the assembly phase, becoming recalcitrant to further assembly. Fluorescence relaxation kinetics indicate on the presence of an alternative route for the charge recombination in Mn-depleted samples in all studied mutants and exclude damage to the photochemical reaction center as the cause for the recalcitrant centers failing to assemble and show that dark incubation of cells reverses some of the inactivation. This reversibility would explain the ability of these mutants to accumulate a significant fraction of active PSII during extended periods of cell growth. The failed recovery in the fraction of inactive centers appears to a reversible mis-assembly involving the accumulation of photooxidized, but non-catalytic high valence Mn at the donor side of photosystem II, and that a reductive mechanism exists for restoration of assembly capacity at sites incurring mis-assembly. Given the established role of Ca2+ in preventing misassembled Mn, we conclude that D1-E189K mutant impairs the ligation of Ca2+ at its effector site in all PSII centers that consequently leads to the mis-assembly resulting in accumulation of non-catalytic Mn at the donor side of PSII. Our data indicate that D1-E189 is not functionally involved in Mn2+ oxidation\binding at the HAS but rather involved in Ca2+ ligation and steps following the initial Mn2+ photooxidation.
Follicular GH and IGF1 Levels Are Associated With Oocyte Cohort Quality: A Pilot Study

Introduction Oocyte quality contributes to the development of an optimal embryo and thus a successful pregnancy. The objective of this study was to analyse the association between oocyte cohort quality and the follicular levels of growth hormone (GH), insulin-like growth factor 1 (IGF1), 25-hydroxy vitamin D (25OHD), thyroid-stimulating hormone (TSH), free triiodothyronine (fT3), free thyroxine (fT4) and antithyroid antibodies, as a function of intracytoplasmic sperm injection (ICSI) outcomes. Material and methods We conducted a prospective comparative pilot study from January 2013 to December 2017. 59 ICSI cycles constituted an abnormal oocyte cohort (n=34 cycles, in which more than 50% of oocytes presented at least one morphological abnormality) and a normal oocyte cohort (n=25 cycles, in which 50% or less of the oocytes presented at least one morphological abnormality). GH, IGF1, 25OHD, TSH, fT3, fT4 and antithyroid antibodies were measured in follicular fluid. Results The fertilisation rate was lower in the abnormal oocyte cohort (65.5% vs. 80%, respectively, p=0.012). Oocytes’ proportion with at least one abnormality was 79.4% in the abnormal oocyte cohort and 29.0% in the normal oocyte cohort. The mean number of morphological abnormalities per oocyte was significantly higher in the abnormal oocyte cohort. The follicular levels of GH (4.98 vs. 2.75 mIU/L, respectively; p <0.01) and IGF1 (72.1 vs. 54.2 ng/mL, respectively; p=0.05) were higher in the normal oocyte cohort. There was no association with follicular levels of TSH, fT3, fT4, antithyroid antibodies, or 25OHD. Conclusion Oocyte cohort quality appears to be associated with follicular levels of GH and IGF1.