Miracle-dz/UniFAR-FTUs huggingface dataset:
A Method of Detect Traffic Police in Complex Scenes

Target detection has a wide range of applications in many areas of life, and it is also a research hotspot in the field of unmanned driving. Urban roads are complex and changeable, especially at intersections, which have always been a difficult and key part in the research of pilotless technology. Traffic policemen detection at intersections is a key link, but there are few existing algorithms, and the detection speed is generally slow. Aiming at this problem, this paper proposes a real-time detection method of traffic police based on YOLOv3 network.The YOLO network is robust and capable of quickly completing target detection tasks. According to the information investigated, there are currently few data sets on traffic police detection. In response to this problem, this paper adopts the transfer learning method, adopts the imageNet set to training model, learns the basic characteristics of people, and then selects 1000 pictures containing traffic police to conduct experiments. The average accuracy of traffic police detection is 77%, and the detection speed reaches 50FPS, which basically meets the requirements of real-time performance, indicating that the method is reasonable and feasible.
Genome Sequence of Kurthia Type Species Kurthia zopfii Strain ATCC 33403T

The genome of the type strain of the Kurthia genus, Kurthia zopfii ATCC 33403, was sequenced. Nonpathogenic K. zopfii has been isolated from intestinal contents, fecal material, meats, meat products, milk, water, and air, including air at high altitudes. ABSTRACT The genome of the type strain of the Kurthia genus, Kurthia zopfii ATCC 33403, was sequenced. Nonpathogenic K. zopfii has been isolated from intestinal contents, fecal material, meats, meat products, milk, water, and air, including air at high altitudes. The predicted genome size is 2,878,279 bp, with 37.05% G+C content.
A New Configuration of Dual Output Buck-Boost Converter for Solar Energized Water Pump Driven by Switched Reluctance Motor

This paper provides a new configuration of a single switch dual output Zeta derived DC-to-DC converter for an efficient harvesting of photovoltaic (PV) power for a 4-phase switched reluctance motor (SRM) driven irrigation pump. The system is essentially developed to minimize both cost and complexity, while synchronously guaranteeing optimal operation of the PV array. The proposed converter is derived from a hybrid of a ‘Zeta’ and CSC (Canonical Switching Cell) converters and so it contains all the benefits of both converters including two balanced outputs. Due to an identical instantaneous duty cycle, the switching node is shared by both Zeta and CSC converters. The proposed converter offers continuous power to drive, low ripple in output current and balanced dual output voltages supply. The CCM (Continuous Conduction Mode) working of proposed converter, helps to reduce the stress on its parameters and to increase its conversion performance. The PV power optimization and smooth automatic start of SRM, are the two major objectives of proposed DC-to-DC converter. A new deviation free maximum power point tracking (MPPT) technique is also used in proposed system. Moreover, the proposed MPPT control has an additional advantage of regulating the flow rate of water pumping by adjusting the duty cycle of proposed DC-to-DC converter. Overall, the proposed system provides a cost effective, efficient and maintenance free PV energized water pump.
Single and Simultaneous Fault Diagnosis With Application to a Multistage Gearbox: A Versatile Dual-ELM Network Approach

High-precision fault diagnosis is vital for widely used multistage gearbox systems. Intelligent monitoring is difficult due to the fuzzy boundaries and a variety of unseen single or simultaneous faults of such complex machinery. To solve this problem, local mean decomposition is applied to extract features effectively from the original nonstationary and nonlinear vibration signals. By exploiting the diverse functionalities of extreme learning machines (ELM) in both regression and classification, a novel dual-ELM network is proposed, in which one ELM is employed to count the number of faults and the other is used to identify the specific single- or simultaneous-fault scenarios. The proposed dual-ELM-based multilabel classifier does not rely on an empirically specified threshold. Thus, it is more self-adaptive than the existing probabilistic-based classifiers. In addition, by inheriting the advantages of the original ELM, the dual-ELMs do not require iterative fine-tuning of parameters. Finally, the training speed of the dual-ELMs is much faster than other combinations of the existing classifiers. Experimental results under various loading conditions show that the proposed dual-ELM-based fault diagnostic framework is versatile at detecting single and simultaneous faults accurately and quickly.
Damping Control of Heaving Wave Energy Harvester Using a Single-Switch Boost Rectifier Circuit

In this paper, a novel online damping control strategy is proposed. The strategy is based on developing an explicit relation for controlling the damping force of the permanent magnet linear generator (PMLG) in real time. The strategy regulates the duty cycle of a single-switch three-phase boost rectifier connected to the PMLG. Computer simulations were conducted to assess the performance of the wave energy converter (WEC) when applying the proposed strategy under different operating scenarios. The results showed satisfactory performances for different sea wave conditions and under various electrical loading conditions.
Exploring health profiles from physical and cognitive serious game analytics

Recent research discourse has emphasized the role of ecological validity for cognitive health measurements/assessments. To this extent, serious games have been sought not only as a contemporary added value intervention for cognitive and physical health, but also considered of great potential in contributing on early detection of health deterioration when in-game metrics/analytics are evaluated. Thus, recent research has started investigating the use of built-in gameplay measures as assessment tools and performance indicators. This study presents a methodology for exploiting in-game metrics information towards a representative user profile, taking as ground truth clinical cognitive and physical assessment tests. The results of this preliminary analysis look very promising and can support further investigation towards the value of in-game metrics/analytics and their overall monitoring capacity.
Seguro de desempleo para Ecuador: características y sostenibilidad

According to mainstream economics, unemployment insurance could reduce job search, increase the reservation wage and eventually raise the unemployment rate. On the other hand, several studies and theoretical considerations show that this kind of programs, provided that they do not discourage job search, can be beneficial for the unemployed and for the whole economy as an instrument of countercyclical economic policy. This article proposes an unemployment insurance program for Ecuador and calculates its parameters applying micro labor market simulations and using information from administrative records. Finally, conditions are established for sustainability of this unemployment insurance proposal in Ecuador.
Extending and Evaluating Fault-Tolerant Preconditioned Conjugate Gradient Methods

We compare and refine exact and heuristic fault-tolerance extensions for the preconditioned conjugate gradient (PCG) and the split preconditioner conjugate gradient (SPCG) methods for recovering from failures of compute nodes of large-scale parallel computers. In the exact state reconstruction (ESR) approach, which is based on a method proposed by Chen (2011), the solver keeps extra information from previous search directions of the (S)PCG solver, so that its state can be fully reconstructed if a node fails unexpectedly. ESR does not make use of checkpointing or external storage for saving dynamic solver data and has only negligible computation and communication overhead compared to the failure-free situation. In exact arithmetic, the reconstruction is exact, but in finite-precision computations, the number of iterations until convergence can differ slightly from the failure-free case due to rounding effects. We perform experiments to investigate the behavior of ESR in floating-point arithmetic and compare it to the heuristic linear interpolation (LI) approach by Langou et al. (2007) and Agullo et al. (2016), which does not have to keep extra information and thus has lower memory requirements. Our experiments illustrate that ESR, on average, has essentially zero overhead in terms of additional iterations until convergence, whereas the LI approach incurs much larger overheads.
Conceptual Design of Compact Planar Quasi-Isotropic Antenna

Design guidelines of a circular sector compact planar quasi-isotropic antenna are presented. General relationship between the non-uniformity and flared angle is deduced at first. Then, it is employed to determine the usable flared angle range for non-uniformity $< 3\mathrm{dB}$. Based upon the design guidelines, a compact planar quasi-isotropic antenna is conceptually designed and numerically studied. It is seen a circular sector magnetic dipole antenna with flared angle of 300° can exhibit both quasi-isotropic radiation characteristic and compact size.
A Smart Email Client Prototype for Effective Reuse of Past Replies

Email communication is widely used in managing customer queries such as complaints and inquiries. With an increasing number of customer emails being received every day, better tools are needed to answer emails efficiently, reuse past efforts and prevent overwhelming and cluttered email backlog. Finding similar past cases is difficult since customer requests might use non-standard terminology. In this paper, we develop a smart email client prototype which helps in replying to an email by providing a list of replies gleaned from the past replied emails. The suggested replies are ranked according to the level of similarity. We have evaluated real-world email data in order to ascertain that reuse is possible, but requires careful retrieval mechanisms. We implement and evaluate a case-based reasoning approach as a methodology to solve the problem by reusing previously written solutions from the past replies stored in the case base. We build a retrieval algorithm that finds similar cases beyond the exact matching, by using text processing and semantics analysis techniques. To optimize retrieval, we apply and cross-evaluate several text analysis techniques such as lexical analysis and synonym expansion, and our evaluation shows that synonym expansion could improve the chance of retrieving a more relevant match even at lower ranks. We evaluate our prototype based on the quality of retrieval results, index size, and processing time elapsed.
Investigation of explosive electron emission sites on surface of polished cathodes in vacuum

The field enhancement effect of the surface microstructures of electrodes with two different surface treatments is evaluated, on the basis of observations made by a 3-D laser microscope. The maximum field enhancement factor of the micro-protrusions on the surface after turning or mirror polishing is about 1–5.8. The vacuum gap breakdown strength of the mirror polished electrodes is 1–1.4 times higher than that of the turned electrodes, because the surface grooves are removed. Experiments to test the breakdown strength of 2.5 cm vacuum gaps with the electrodes after the treatments were carried out and the experimental results were found to correspond to the analysis. The results also revealed that it is not enough to induce explosive electron emission and vacuum breakdown just by the field enhancement at the micro-protrusions and grooves. Moreover, the emission sites of mirror polished cathode made of titanium alloy and stainless steel after vacuum breakdown were observed by a scanning electron microscope and an energy dispersive spectrometer. The results show that the proportion of carbon atoms in the damaged area of the stainless steel cathode surface is as high as 40–70%, and most of the pits located at the grain boundaries, which suggests that grain boundaries have important effects on the electron emission and vacuum breakdown.
An Improved Model for Effective Customer Network Future State Prediction

For the purpose of prediction analysis of customer relationships in social networks, this paper proposes a simple model that can generate future states of a social network based on relevant data analysis and previous research. In this model, we insert nodes and edges of a customer network at the same preferential attachment probabilities, but delete them at different anti-preferential attachment probabilities with the consideration of the limit of network size, the directions of incident links and the factor of time in attractiveness. Furthermore, we propose an improved model based on the simple model that computes the attractiveness measure of nodes by applying time series prediction and takes into account of node in-degrees. Networks generated from our models have a nice property that their in-degree distribution follows the power-law, which desirably characterizes an essential property of social networks. This property is derived by applying the mean-field theory [7]. It is validated through simulation that this model can effectively generate a social network's future state and incorporating the factor of node in-degrees in computing the attractiveness measure of nodes using time series prediction can improve the prediction result.
A Super-Junction MOSFET-Based 99%+ Efficiency T-Type Multilevel Converter

High-efficiency (e.g. 99%+) converters bring benefits in terms of lower energy consumption, reduced cooling requirements (e.g. smaller heatsinks), high power density and potential material cost saving. Super-junction MOSFETs have low on-state resistances and low switching losses, which are essential for high-efficiency operation. However, the reverse recovery behavior of their intrinsic diodes and their output capacitances make their deployment in freewheeling locations challenging. The non-linear output capacitance of SJ MOSFETs may cause significant voltage overshoot, EMI and switching loss. This paper proposes using a novel combination of snubber circuitry and intrinsic diode deactivation circuitry for a three-level T-type converter to address the non-linear capacitance and poor intrinsic diode issues. Benefits of multilevel conversion include reduced harmonic currents for a given switching frequency and filter component size, and a lower switched voltage giving a lower switching loss. Results are given for a 600-V converter supplying a 3-kVA load. Intended applications are in small machine drives and UPS systems. No forced cooling is needed and efficiency is calculated in excess of 99%. A step-by-step approach to locating snubber elements in voltage source converters is elucidated and the power device and ancillary circuit requirements for three-level NPC and T-type circuits are compared.
The Design of Low-Loss Phase Shifter Based on MEMS Switch

In this paper, a 2-bit reflection-type digital phase shifter based on MEMS switch is designed to replace the high-loss phase shifter based on PIN diode. This design uses 3dB directional coupler and integrated SP4T (single-pole-four-throw) micro-electro-mechanical systems(MEMS) switch. ADGM1304 is used as MEMS switch to overcome the disadvantages of traditional digital phase shifter which has high insertion loss. 0°,90°,180° and 270°phase shift are realized with insertion loss less than 1.5 dB in a bandwidth from 2.6 GHz to 3.2GHz.
Whole-Genome Sequence of Pseudomonas sp. Strain 1239, Isolated from Soil in Western France

We report here the draft genome sequence of Pseudomonas sp. strain 1239, a bacterium that is potentially usable as a biostimulant for agriculture or in depollution. ABSTRACT We report here the draft genome sequence of Pseudomonas sp. strain 1239, a bacterium that is potentially usable as a biostimulant for agriculture or in depollution. Its genome encodes resistance to mercury, heavy metals, and several antibiotics. It is potentially able to produce marinocine, a broad-spectrum antibiotic.
Micro/miniature shape memory alloy actuator

Shape memory alloy (SMA) has great potential for microminiature actuators. The feasibility is discussed, and theoretical estimates based on scale effect are presented. Control schemes for microminiature SMA servoactuators are discussed, and a control scheme is proposed. Combined with electric resistance feedback and position feedback, it enables the author to control stiffness of SMA directly and to sense force without a force sensor. Experimental verifications are reported. The application of a miniature SMA actuator to a miniature clean gripper with position-force hybrid control for microelectronics manufacture is presented. Fabrication of a thin film micro SMA actuator is investigated. <<ETX>>
A Novel High-Precision RC Oscillator

This paper presents a high-precision oscillator using a single comparator. A reference bias current is used to charge and discharge the capacitor array to generate a 100MHz square wave signal. Realized by Hlmc55ef process with 1.2V power supply, the proposed oscillator exhibits 59 ppm/°C average temperature coefficient and less than 1.88% frequency deviation at different process corners within the specified temperature range. Keywords: RC oscillator; Comparator; Capacitor.
Phase-Locked Loop of SerDes for Satellite Laser Communication

Based on TSMC 55G process, a phase-locked loop (PLL) design is presented, which is used in the SerDes system of satellite laser communication equipment. The codec in the satellite laser communication equipment needs SerDes system to provide the fractional-N frequency-division clock signal. The transmission rate of the SerDes system is 5Gb/s. The clock frequency range of fractional-N PLL is 2.5GHz-20/7GHz. The power consumption is 27mW at 1.8V.
Infection, Self-reproduction and Overinfection in Ransomware: The Case of TeslaCrypt

Security experts observed between 2015 and 2017 an exponential increase in the number of advanced threats via ransomware, They confirm that ransomware continues to make organizations suffer. This situation is announced in SophosLabs malware forecast 2018 which mentioned that the history of 2016/2017 is a revolution of ransomware. For Kaspersky this situation will not be different in 2018, ransomware will remain king and its destructive attacks will continue to rise, leveraging its status as the most visible type of cyberwarfare. In this work, we present a model of infection, self-reproduction and overinfection in a particular ransomware, it is TeslaCrypt in its version 3.1. We describe these concepts and discuss some indicators for TeslaCrypt and other ransomware detection.
Genome Sequences of Actinobacteria from Extreme Environments in Colombia

We sequenced six actinobacterial genomes isolated from a salt mine and from soil in a high-mountain Páramo ecosystem. The strains belonged to the genera Streptomyces, Nesterenkonia, and Isoptericola and were sequenced due to their antimicrobial and cytotoxic activities. ABSTRACT We sequenced six actinobacterial genomes isolated from a salt mine and from soil in a high-mountain Páramo ecosystem. The strains belonged to the genera Streptomyces, Nesterenkonia, and Isoptericola and were sequenced due to their antimicrobial and cytotoxic activities.
Improved Extended Polynomial-Based Secret Image Sharing Scheme Using QR Code

Secret image sharing technology is an effective approach to encode the secret image into several shares, and the original image can be recovered by the remaining shares even some shares are lost. As a typical two-dimensional machine reada-ble code, QR code is widely used in human life due to its fast reading speed, high data density and strong error correction capability. Combined with the characteristics of QR code and secret image sharing, an extended secret image sharing scheme was proposed based on QR code, where "extended" means that the generated shares were visually similar to the QR code. The main idea is to control the parameters' selec-tion of polynomial using the binary QR codes. Meanwhile, the average gray difference of the shares was defined as α to measure the similarity between QR-like shares and the origi-nal carrier QR codes. Based on α, a secret sharing algorithm was designed to generate QR-like shares. At last, upper and lower limits of α are introduced through experimental analy-sis, and the relationship between the error correction level of carrier QR code and the lower limit of α.
Loss Distribution among Paralleled GaN HEMTs

The market and opportunities are growing for GaN HEMTs in high-power applications. In many cases, GaN HEMTs need to be paralleled to increase the power capability or to enhance the efficiency. Unbalanced loss distribution among paralleled switches could cause overtemperature issues potentially, which will result in the derating of the power stage or even cause system failure. An analytical loss model is derived to analyze the tolerance of device characteristics variation for parallel. An auto-balancing mechanism for both switching loss and conduction loss is observed with paralleled GaN HEMTs due to the negative temperature coefficient of transconductance in the whole operating range. Stable operation is expected under all conditions without preselecting GaN HEMTs for parallel. Metal-core PCB based 240A/650V power modules are built with randomly selected GaN HEMTs and tested under high-power conditions. The junction temperatures of paralleled GaN HEMTs are measured to monitor the loss distribution, and the characteristic of GaN HEMTs in parallel is verified.
Draft Genome Sequence of Mycobacterium shimoidei Strain P7336

Mycobacterium shimoidei, a slow-growing, nontuberculous mycobacterium initially isolated from a Japanese man, is a rare opportunistic lung pathogen. The 4,842,631-bp draft genome of M. shimoidei strain P7336 exhibits a 65.7% G+C content, 4,643 protein-coding genes, and 57 predicted RNA genes, including 49 tRNAs, 7 rRNA operons, and 1 transfer-messenger RNA. ABSTRACT Mycobacterium shimoidei, a slow-growing, nontuberculous mycobacterium initially isolated from a Japanese man, is a rare opportunistic lung pathogen. The 4,842,631-bp draft genome of M. shimoidei strain P7336 exhibits a 65.7% G+C content, 4,643 protein-coding genes, and 57 predicted RNA genes, including 49 tRNAs, 7 rRNA operons, and 1 transfer-messenger RNA.
An Indoor Positioning System Based on Wireless Range and Angle Measurements Assisted by Multi-Modal Sensor Fusion for Service Robot Applications

The current trend for automation is expected to a strongly growth in the area of service robotics. One of the main challenges for reliable operation of such systems is the measurement of the mobile robot pose in a given coordinate system. We present an alternative approach to indoor localization of mobile robots based on the sensor fusion of secondary radar data with an ultrasonic sensor and odometry. The main advantage of the proposed system is that it requires only minimum infrastructure and provides an absolute localization reference to increase the accuracy and reliability. Measurement campaigns in a university building, a hospital, and an office building demonstrate a very good localization performance and prove the advantage of this approach.