Miracle-dz/UniFAR-FTUs huggingface dataset:
From Recommendation to Generation: A Novel Fashion Clothing Advising Framework

In the field of clothing recommendation, building a successful recommendation system means giving each user an optimal personalized recommending list. The top ranked clothing in the list are expected to meet a series of user's needs such as preference, taste, style, and consumption level. In online shopping, the most common way is to use user's explicit rating of items. However, user's implicit feedback such as browsing log, collection, and reviews may contains extra information to help model user's preference more accurately. In addition, the recommended clothing should also meet user's consumption level, which is an important factor easily overlooked in recommendation system. In this paper, we combine visual features of clothing images, user's implicit feedback and the price factor to construct a recommendation model based on Siamese network and Bayesian personalized ranking to recommend clothing satisfying user's preference and consumption level. Then on the basis of recommending clothing, we use Generative Adversarial Networks to generate new clothing images and use them to form a compatible collocation to provide fashion suggestions out of datasets.
Spurious-Free Dual-Band Bandpass Frequency-Selective Surfaces With Large Band Ratio

Frequency-selective surfaces (FSSs) are widely employed in antenna’s radar cross-sectional reduction, which plays a key role in improving survivability and penetration ability of future military systems. In practical, dual-band bandpass FSSs with large band ratio (BR) are urgently needed for some military equipment, such as homing head, that can detect both middle and far range targets. In this paper, a novel method for designing dual-band bandpass FSS with large BR is proposed. The method can provide a large BR response, by utilizing a spurious-free structure and combing resonant and nonresonant elements. The detailed analysis is presented with the aid of equivalent circuit model as well as closed-form equations to reveal the operating mechanism. A design example is simulated, fabricated, and then measured. Two excellent passbands are obtained with a large BR value of 15.3 in experiment. Moreover, a −10 dB fractional bandwidth of 164.3% is realized from 1.31 to 13.35 GHz, without observing any spurious transmission windows. In conclusion, our proposed method fills the gap of the existing dual-band FSSs to obtain a large BR value of more than 6 and could be a good guidance for designing the future multiband FSSs.
Effect of Thermal Aging and e-beam Energy on the Trapped Charge of Irradiated XLPE HV Insulation Cables in SEM

In the present paper we have used Scanning Electronic Microscopy (SEM) under vacuum conditions to show the influence of aging at high temperature and e-beam energy on the trapped charge in XLPE insulation. The XLPE samples are modeled and aged at 140°C. Unaged and aged samples are charged with electron beam irradiation with three different energies: 5 kev, 15 kev and 30 kev. According to the overall results, thermal aging influences considerably the trapped charge in the material. It is found that the trapped charge increases with increasing aging time. The similar positive correlation has been noticed between the trapped charge quantity and the e-beam energy level. Overall, it is believed more shallower traps are generated under thermal aging because the modification of physico-chimical structure of the material leading to modification of depth and range of the traps.
An Improvement on A Simplified Space Vector Modulation Algorithm to Solve the Inherent Three-Phase Unbalance

Space vector modulation (SVM) is widely used in traditional three-phase converters, but when extended to multilevel converters it suffers from issues of heavy computation cost and intense memory usage. Researchers have proposed many simplified SVM algorithms, but they are still impractical in some respects. This paper examines a simplified SVM algorithm based on H-D coordinates, which has simpler calculations than simplified algorithms based on other coordinate systems. Then, this paper analyzes this simplified algorithm and finds it has an inherent three-phase unbalance problem. There are two reasons for the unbalance: the unbalance of generation rules and the directionality of H-D coordinates. Then, based on the feature of HD coordinates, we propose an improved SVM algorithm. The proposed algorithm divides the hexagonal vector space diagram into three diamond-shaped areas equally and can take full advantage of the similarities among them. Consequently, the unbalance problem is solved and the calculations are still compact. In addition, the proposed algorithm has another two features: simplified calculation in a condition of overmodulation and better balance performance when switching frequency equals a multiple of 150 Hz. Based on our findings, we believe the proposed SVM algorithm is more practical than others and is suitable for large level-number applications like three-phase modular multilevel converters. Simulations in various operating conditions are done.
An Improved Active Li-ion Battery Equalization Scheme for Enhancing the Performance of a nearly Zero Energy Building and Electric Vehicle Microgrid

This paper proposes an improved Battery Management System (BMS) that provides active equalization in the battery cells to reduce the total charging time and enhance the system performance. The suggested control scheme can be applied to energy storage systems with Li-ion batteries that are utilized in nearly zero energy building (nZEB) and electric vehicle (EV) microgrids. The proposed BMS is more suitable for the above applications, since repeatable and high dynamic performance from the battery system are required. The improvement in the battery operation and therefore, the enhancement of the whole microgrid performance can be accomplished by properly regulating the charging current of each battery cell through the gate voltage of a parallel connected MOSFET. An Aging Estimator Fuzzy Logic Controller (AEFLC) is also proposed that can online estimates the healthier cell of each battery stack by properly evaluating the internal resistance growth and the capacity fade factor of each cell. Thus, based on the healthier cell, the proposed algorithm controls the MOSFET current in order to achieve the cell equalization. Specifically, an Equalizer Fuzzy Logic Controller (EFLC) evaluates the cells’ voltages and applies the appropriate gate-source voltage ($V _{GS}$) at each MOSFET. The functionality and the effectiveness of the proposed BMS are verified both for nZEB and EV microgrids via simulation models using the MATLAB/Simulink program. Selective simulation results are presented to validate the operating improvements that the new BMS technique can provide.
Effect of Halide Compositions on the Performance of Perovskite Solar Cells

In this work, we present a simulation based study of perovskite solar cells to determine the best halide composition of methyl ammonium lead halide perovskite for the light absorbing layer of solar cells. We explore the performance of the two most commonly used configurations of perovskite solar cells: p-i-n and n-i-p and determine the halide composition of perovskite that yields the best results for each configuration. In addition, further optimization of the structures is attained in terms of different layer thicknesses, which leads to an increased efficiency of 17.78% and 16.43% for the p-i-n and n-i-p architectures, respectively.
A Compact Dual-Band and Dual-Polarized Electromagnetic Band-Gap Structure

In this paper, we present a compact dual-band and dual-polarized Electromagnetic Band-Gap (EBG) structure. The unit cell is composed of an inner folded rotated Jerusalem cross cell and four outer T-shaped cells. All of cells are connected with ground by via. The inner resonance cell operates in low frequency band, and outer resonance operates in high frequency band. Different frequency ratios can be obtained by adjusting the dimensions of inner and outer resonance cells. The greatest advantage of this EBG is that the adjustable range of frequency ratio is very wide. Additional results will be presented during the symposium.
New Methods for Designing a Grounding System for Future Expansion of High Voltage Substations

Substation grounding has proved to be a vital action in high voltage substations for safety of persons and equipment. This paper first describes the potential impacts of increasing the earth fault current of high voltage transformers substations more than the designed value on the performance of the grounding system of these substations. New designing methods for system grounding are suggested in this paper to avoid such problems. These proposed new methods aim at designing and constructing the grounding grid system in a way such that it can accommodate the system expansion more easily and safely. A real case 66/11 kV substation is considered as a case study and ETAP 12.6 is used as a simulation tool. The IEEE 80-2000std is adopted as a reference standard for design.
Revealing Encryption Algorithm for Integrating with Quantum Technologies by Using Cryptanalysis

The problem of secure connection becomes more and more popular nowadays. Almost all encryption systems can be hacked, and this motivates to the creation of an unbreakable data transfer. The article discussed modern encryption algorithms and the possibility of integrating them into different spheres. Using cryptanalysis method has chosen algorithm for integration with quantum technologies.
Measuring Dielectric Properties for Sensing Foreign Material in Peanuts

Free-space dielectric properties measurements at 10 GHz with four pairs of low-cost printed Yagi–Uda antennas are proposed for detecting foreign material in unshelled peanuts, including sticks, peanut shells, peanut raisins, and stones. The four-element array design of the Yagi–Uda antenna allowed better averaging over the entire sample volume and improved the measurement resolution. The antenna gain is about 9.7 dBi. The beam width of each antenna is about 18° and 38° for the E-plane and H-plane at 3 dB, respectively. The attenuation and phase shift were measured for each pair of antennas by controlling automatically the microwave switches. Measurement repeatability of the system was confirmed by using different thicknesses of polyethylene dielectric slab samples. The standard deviation was less than 0.5 dB for the attenuation and less than 5.0° for phase measurements. Sensitivity of each antenna pair for unshelled peanuts and different foreign materials, each loaded in a small volume (4.4 cm <inline-formula> <tex-math notation="LaTeX">$\times4.4$ </tex-math></inline-formula> cm <inline-formula> <tex-math notation="LaTeX">$\times12.1$ </tex-math></inline-formula> cm), was tested by using a partitioned sample container. It was shown that a difference in attenuation was more than 1.5 dB for different types of foreign materials and also for unshelled peanut samples with a 1% moisture content difference. Prediction of moisture content in cleaned unshelled peanut samples agreed well with the standard oven-drying method (standard error of calibration = 0.51%). The dielectric properties of foreign materials mixed with cleaned unshelled peanut samples were measured through the attenuation and phase shift. The measurement repeatability of each antenna and all four pairs of antennas is presented.
Implementation of Flat Gain Broadband Power Amplifier With Impedance Rotation Compensation

The conventional broadband impedance matching network in low-pass structure cannot present adequate broadband impedance rotation for the optimum broadband operation of the power amplifier (PA), resulting in performance variations and degradations. The underlying constraint is the phenomenon of opposite impedance rotation. Against such a backdrop, this paper presents a methodology using the band-pass topology to compensate the frequency-variable response of the PA. The CGH40010F from Cree is used to verify the effectiveness of this compensation method. The experimental results are in good agreement with the simulation. The proposed PA yields good gain flatness (±0.5 dB), input/output return loss (>13 dB), and high power added efficiency (>60 %) over the band from 1.7 to 2.7 GHz. After digital predistortion, the measured adjacent channel power ratio is about −55 and −50 dBc at ±5 and ±10 MHz offset when the PA is driven by 5- and 10-MHz WCDMA signals at 6.5 ~ 7 dB power back-off.
Modulation-Specific Angle-of-Arrival Estimation Algorithm for Correlative Interferometry

Emitter localization via triangulation is a common task for spectrum management, and it is typically realized by angle-of-arrival (AoA) estimation with correlative interferometers installed within fixed or mobile monitoring stations. The AoA estimation technique is addressed and a modulation-specific algorithm is proposed. Simulation results show that, for a specific set of modulation types, namely the ones which are noncircular, both the accuracy of AoA estimation and that of localization are improved.
Biological Features De-identification in Iris Images

Biometric authentication has recently become hugely popular in mobile social networks. Iris recognition, a typical biometric authentication technology, has been widely used in many fields. However, it can lead to serious consequences if the iris feature information is utilized by an illegal party. Thus, a critical issue is how to preserve iris features when the human's images are used in mobile social networks. In this paper, we first introduce an approach to identify the iris area in an eye image. By means of differential privacy, we present a de-identification algorithm on the iris area to preserve iris biological features. A remarkable advantage of our approach is that it only conceals the iris biological features but does not change the other parts of the given image. A simulation example is provided to show the effectiveness of our de-identification method at last.
A Data erasing Writing technique based 1T1M Quaternary Memory Circuit Design

Memristor is a newly fabricated device which is becoming very popular among the researchers for its nonvolatility, nanometer size and good switching behavior. In this work- Memristor-MOS hybrid architecture based Quaternary memory array design with complete read write technique has been developed. Each cell contains only one Memristor and a Transistor and is able to store two bits of memory in the single cell. The proposed writing technique for this design is data erasing based which reduces circuit complexity by avoiding feedback read-based writing technique. The verification of the proposed design has been achieved through LTSPICE simulation and the design shows superiority in terms of compactness, acceptable noise margin and simplicity in operation.
Superpixel Segmentation Methods on Stereo Fundus Images and Disparity Map for Glaucoma Detection

Glaucoma is an optic neuropathy resulting in progressive vision loss. It is the leading cause of global irreversible blindness. The reported prevalence among the population in New Zealand is 2% over the age of 40 years. About 10 % of those over 70 years are diagnosed with this disease. Population-based studies report high rates of undiagnosed glaucoma with over 50 % of the population with glaucoma living in developed countries remaining undiagnosed and unaware of their disease. Clinical diagnosis rests on the detection of the characteristic optic disc signs. Stereo optic-disc imaging improves intra and inter-observer agreement in the detection of optic disc abnormalities. We propose a robust method to help the specialist in detecting some abnormalities in stereo optic-disc images using stereo vision and superpixel segmentation concepts. A stereo vision system produces a disparity map for the input stereo images of the retina in which abnormalities are more distinguishable. In the region of interest in the disparity map, we can clearly visually recognize all abnormalities because of changes in distances for abnormality parts in glaucoma patients. The produced disparity map is segmented using two different superpixel segmentation algorithms (simple linear-iterative clustering and simple noniterative clustering) to detect abnormalities. The original stereo images are also segmented using the same concept; results are compared with the segmented disparity map.
Open Application Framework for Disaster Mitigation Based on Deeper Understanding Approach

Hazard risk assessment is essential to coexist with the natural disasters. An open application framework for knowledge-oriented hazard risk assessment based on deeper understanding of the root cause and drivers of a disaster is developed and verified in this study. Hazard risks estimation by numerical simulation could be effective and reliable only if we have enough knowledge and observation data to the hazards. Insufficient knowledge to the natural hazards is the most critical barrier for efficient disaster risk assessment. To transform the knowledge into valuable simulations on hazard risks is still a challenge. To overcome the challenges, we proposed and implemented the application framework for hazard risk evaluation based on deeper understanding approach. For each case study, scientists achieved the accurate simulation processes with best knowledge to the root cause and physical mechanism of the target hazard. Simulation portal was then developed for easier access to the most updated analysis facility. All the data, services, methods and knowledge were compiled into a knowledge base. Those shared data, analysis and simulation facility, knowledge base and value-added services, and the distributed could infrastructure constitute the open application framework. This is a practical framework verified by case studies and will be evolved progressively with more cases of various types of disasters in different places. In this paper, design details of the application framework based on deeper understanding approach and the verification by a case study are explained. The application framework would be a facilitator for capacity building on hazard risk assessment and will be a solid ground for open science development of this domain in the future.
A Secure Privacy-Preserving Mutual Authentication Scheme for Publish-Subscribe Fog Computing

The exponential grow of internet of things applications leads to proposing fog computing structure that is geospatially distributed and latency sensitive. Since asynchronous dissemination of information is the main issue for typical distributed applications, publish-subscribe system is introduced as a key technology to provide asynchronous communications for distributed systems. In publish-subscribe systems, broker acts as a middleware in between subscribers and publishers and all communications are done through the brokers. However, serious security issues have been raised with such new architecture. In this paper, we propose a secure privacy-preserving mutual authentication scheme for fog-based publish-subscribe system using elliptic curve cryptography. The proposed scheme can provide mutual authentication between subscribers and brokers and between publishers and brokers. Moreover, the proposed scheme can preserve users’ privacy due to the difficulty of relating the requested topic for subscription and/or publication to their anonymous identities. In addition, the proposed scheme can resist against the curiosity of users and/or brokers. The analysis of security services that are achieved by the proposed scheme is provided.
A New Approach of Load Rejection in Fault of PV Output in Smart Grid

The purpose of this paper is to present a new approach of load rejection in smart grid for a combination of emergency generators (EGs) with a photovoltaic power generation (PV). The power balance of grid is not only the influence of generator on the governor control with droop but also the output fluctuation of the PV cannot be ignored. A frequency control and a load control by a load prediction are necessary for the system grid combined with EGs and PV in island mode. When the cloud interrupts light from the sun in maximum output of PV, the output of PV faults at a moment, so that it is difficult to balance the power by the use of EGs with the output change rate limit. This paper presents a method to stabilize supplied power in the grid by a load rejection in fault of PV output with island mode. The proposed method can realize operation by using emulation with grid system model. The verification results show that the emulator is effective in the energy management strategies.
Requirements for Reproducibility of Research in Situational and Spatio-Temporal Visualization : Position Paper

Research on spatio-temporal visualization is driven by the development of novel visualization and data aggregation techniques. Yet, only little research is conducted on the systematic evaluation of such visualizations. Evaluation of such technology is often conducted in real-life settings and thus lacks fundamental requirements for laboratory-based replication. Replication requires other researchers to independently conduct their own experiments to verify your results. In this position paper, we discuss the requirements for replication studies of spatio-temporal visualization systems. These requirements are often impossible to achieve for highly contextual visualizations such as spatio-temporal visualizations. We argue that reproducibility—allowing other researchers to validate your findings from your data—is a better aim for highly contextual visualizations. We provide a sample workflow to ensure reproducibility for spatio-temporal visualization and discuss its implications.
Deep Multiview Heartwave Authentication

This paper presents a heartwave based authentication method that utilizes an ensemble of deep belief networks (DBNs) under different parameters to increase the reliability of feature extraction. The multiview outputs are further embedded into a single view before inputting into a stacked DBN for classification. The result of the proposed novel architecture achieved a classification rate of 98.3% with 30% training data. Importantly, it is able to perform user classification using heartwave signals acquired under intense physical exercise where heart rate ranges from 50 bpm to as high as 180 bpm. Under extreme physical duress, the heartwave from an individual experiences extreme morphological variations that render conventional classification approaches nonapplicable.
A New Topology for the Large-Scale Photovoltaic Systems Grid Connection Based on Modular Multilevel Converter

Modular multilevel converter (MMC) became one of the most popular converters in medium / high power applications. This paper introduces a new topology to connect the large scale photovoltaic (PV) systems to the grid using MMC. The proposed topology capable of concentrating a large PV farm into a single converter which have merits such as a unique control systems, transformer, and line filter. In addition to decrease the losses and cost comparing by using several conventional two-level converters handling the same power. A multi-string PV configuration in which a high gain DC/DC converter is implemented to reach medium voltage operation and to perform the maximum power point tracking (MMPT). The grid connected MMC is controlled by using the finite control-set model predictive control (FCS-MPC) which is a recently powerful control technique used in the power converters. The proposed topology can significantly improve the output power of the PV system under the conditions of constant and changeable solar irradiation in addition to the decoupled active and reactive power regulation. The simulation results are presented to verify the validity of the proposed topology.