Miracle-dz/UniFAR-FTUs huggingface dataset:
Automated large scale indoor reconstruction using vehicle survey data

Indoor reconstruction is important in location based service with the development of web Geographic Information System (GIS). 3D visualization virtual navigation in indoor scene is high demanded in the internet. Due to lack of texture, active range is used for location and mapping, such as structure of light and time of flight. Laser scanner is more accurate for large scale indoor mapping. A backpack or trolley mounted laser scanners and cameras are widely used in indoor mapping. Point cloud of laser scanner is mainly used to location. Camera images are used to make panoramic images. In a large scale environment, the point cloud and images are a large dataset to be shown. Indoor reconstruction can reduce the dataset in the web. This paper presents an automatic pipeline of indoor reconstruction for the dataset captured by Navvis M3 trolley. Firstly, Poisson reconstruction is used to generate the triangle mesh from the point cloud. Secondly, the mesh is partitioned into several blocks using the building principal direction to improve the efficiency, and then the mesh is simplified using plane segmentation based method. At last, a ray intersection based method is used to select the corresponding images to the mesh, and then texture atlas is generated. Experiment shows that, the pipeline can automatic get the indoor reconstruction mesh with texture. The result reduces the data size sharply, and is also convenient to be shown on the web.
Optimal Strategy for Seabed 3D Mapping of AUV Based on Imaging Sonar

An imaging sonar loses information of elevation angle while a mapping process. To overcome this limitation, the motion of the autonomous underwater vehicle (AUV) can be used to obtain 3D information using the imaging sonar. In this paper, we propose a two-stage mapping strategy for accurately generating underwater 3D maps based on an imaging sonar. It consists of searching and scanning stage. In the scanning stage, multi-directional scanning is performed on an object. To process 3D point cloud data obtained by multi-directional scanning, we propose a polygonal approximation method. This method reduces the uncertainty of 3D point cloud data by extracting intersection area of multiple data groups. To verify the feasibility of proposed strategies, we conducted indoor tank experiments using a hovering-type AUV ‘Cyclops’ and acoustic lens-based multibeam sonar (ALMS) ‘DIDSON’.
Trap Distribution and Insulation Characteristics of Epoxy/AlN Nanocomposites for Current Lead Insulation of DC-SFCL

Epoxy resin is usually used as the current lead insulation in the superconducting fault current limiter (SFCL), which requires low coefficient of thermal expansion of insulating material. This paper investigated the thermal and electrical properties of the epoxy/AlN nanocomposites with different content of AlN. The mass fraction of AlN particles in the nanocomposites were 0, 1, 3 and 5 wt% respectively. The average coefficient of thermal expansion of the sample was measured. Meanwhile, the trap level distribution and breakdown characteristics of samples in LN2 were calculated by Weibull distribution. The experimental results indicate that the coefficient of thermal expansion of epoxy/AlN nanocomposites is reduced by about 25%. And the trap density increases first and then decreased with the increase of content of AlN.
Draft Genome Sequence of the Phenol-Degrading Bacterium Cupriavidus sp. Strain P-10, Isolated from Trichloroethene-Contaminated Aquifer Soil

A batch culture was enriched on phenol with trichloroethene-contaminated aquifer soil as an inoculum. Cupriavidus sp. ABSTRACT A batch culture was enriched on phenol with trichloroethene-contaminated aquifer soil as an inoculum. Cupriavidus sp. strain P-10 was isolated from the culture using a diluted plating method. Here, we report the draft genome sequence and annotation of strain P-10, which provides insights into the metabolic processes of phenol degradation.
Draft Genome Sequence of Xylella fastidiosa subsp. fastidiosa Strain IVIA5235, Isolated from Prunus avium in Mallorca Island, Spain

We report the complete annotated genome sequence of the plant-pathogenic bacterium Xylella fastidiosa subsp. fastidiosa strain IVIA5235. ABSTRACT We report the complete annotated genome sequence of the plant-pathogenic bacterium Xylella fastidiosa subsp. fastidiosa strain IVIA5235. This strain was recovered from a cherry tree in Mallorca, Spain.
Category I caesarean delivery and preferred mode of anaesthesia: Dilemma persists

The rates of CD have increased world over with a global average increase from 6.7% in 1990 to 19.1% in 2014, while in some countries the rates exceed 30% (Latin America and the Caribbean, North America and Oceania), and in the United States an increase in CDrates as high as 65% has been reported. [1] These spiralling rates of CD have placed increasing demands on the obstetric anaesthesiologists to provide high-quality, safe anaesthesia for both elective and emergency caesarean sections.
Dual-Band Differential Phase Shifter Using Phase- Slope Alignment on Coupled Resonators

In this letter, we propose a new class of phase shifter which can provide different constant phase shifts at two bands for the first time. The prescribed phase shifts <inline-formula> <tex-math notation="LaTeX">$\Delta \Phi _{\mathbf {1}}({f}_{\mathbf {1}})$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$\Delta \Phi _{\mathbf {2}}({f}_{\mathbf {2}})$ </tex-math></inline-formula> and frequency ratio (<inline-formula> <tex-math notation="LaTeX">${n} ={f}_{\mathbf {2}}/{f}_{\mathbf {1}}$ </tex-math></inline-formula>) of the two bands can be obtained by the developed dual-band phase-shifting line on C-section. Meanwhile, the dual-band phase-slope alignment is first realized by virtue of the two groups of coupled resonators, resulting to independently control the phase slopes at two separated bands as required. The closed-form equations and design charts are further given. For verification, a prototype dual-band phase shifter operating at 3.0 and 5.4 GHz (<inline-formula> <tex-math notation="LaTeX">$n = 1.8$ </tex-math></inline-formula>) is designed, fabricated, and tested. The measured results show the proposed phase shifter exactly achieves prescribed constant phase shifts of 90° ± 2.3° over 2.76–3.31 GHz (18%) and 180° ± 2.7° over 4.97–5.80 GHz (15%). Both the simulation and measured results are recorded with good agreement.
GIMI: A New Evaluation Index for 3D Multimodal Medical Image Fusion

Multimodal medical image fusion plays important roles in clinical applications. Existing indexes used to evaluate 2D medical image fusion algorithms are not suitable for 3D fusions. In this paper, a new evaluation index, which is named as GIMI, is proposed to evaluate and compare the quality of 3D medical image fusion algorithms. GIMI index is based on image volumes not slices. It captures spatial information through the combination of image intensity and gradient, where gradients are computed in 3D space to reconnect all separated image slices together. It treats image slices as a whole of volume to improve the consistency of evaluation. Quantitative and qualitative test results show that GIMI index is effective in evaluating 3D medical image fusions. Its evaluation is consistent with the visual perception of fused images.
Metagenomic Sequencing of Wastewater from a South African Research Farm

We sequenced wastewater effluent from the Agricultural Research Council–Animal Production in South Africa that conducts studies on livestock health and farm ecology. Thauera, Oscillibacter, and Pseudomonas were the most abundant genera within the community. ABSTRACT We sequenced wastewater effluent from the Agricultural Research Council–Animal Production in South Africa that conducts studies on livestock health and farm ecology. Thauera, Oscillibacter, and Pseudomonas were the most abundant genera within the community. Thirty-one different antibiotic resistance genes were identified, 10 of which are associated with tetracycline resistance.
A Novel Recycled FPGA Identification Flow with High Precision

In this paper, a novel delay calibration system is presented to distinguish recycled FPGAs from unused FPGAs. This system, which is composed of all-digital delay calibration module, periphery circuits and selected path, is used to identify the true age of the chips. The change of one frequently used path delay before and after usage can be directly obtained through Delay Calibration Module. In addition, the support vector machine is employed to determine the difference between the recycled and unused FPGAs. Simulation results on 28nm technology show the delay degradation measurement accuracy is better than 15ps, and identification rate for fresh and 3-months recycled FPGAs is more than 97% within several microseconds calibration time. Besides, the proposed system is of low-cost, robust against process variations, and easy to be implemented.
Online Coverage Path Planning for a Mobile Robot Considering Energy Consumption

An efficient coverage path planning (CPP) algorithm for a mobile robot is required in particular for outdoor area cleaning and mowing tasks. CPP is impeded by a high number of possible solutions and dependency to environmental change, which require algorithms that enables to provide short computation time or run online while covering whole area. In addition, because a mobile robot has generally a limited battery capacity, an energy optimal solution is expected for outdoor tasks. This paper proposes two CPP algorithms that consider energy consumption of a mobile robot with/without knowledge of environment. Energy consumption, required motion time and path length, and computation time of the proposed algorithms are compared with two existing methods by simulation.
Harmonics Mitigation of Standalone Brushless Doubly-Fed Induction Generator Feeding Nonlinear Loads Considering Power Converter Voltage Rating

In standalone brushless doubly-fed induction generator (BDFIG) power generation systems, nonlinear loads would cause the distorted power winding (PW) voltage, which mainly includes the fifth and seventh voltage harmonics. In order to mitigate the harmonic voltage, this paper proposes an improved coordinated control method considering the power converter voltage rating. Based on the principle of maximum harmonics mitigation per voltage for different order harmonics, the proposed control method is not only applied to the machine-side converter (MSC) for eliminating the seventh PW harmonic voltage, but also to the load-side converter (LSC) for rejecting the fifth harmonic. A proportional integral plus a resonant controller (PIR) is employed to the current control loops in both MSC and LSC so as to obtain a good current track ability. Comprehensive experimental results with 30 kVA BDFIG are presented to verify the proposed method.
Physical Human-Robot Interaction Coupled with a Moving Environment or Target: Contact and Track

There is an increasing number of applications in physical human-robot interaction (pHRI) where the end-effector of the robot is compliant in response to the force exerted by the human. The force sensor is normally mounted with an instrument on the end-effector to measure the human operational force. However, when the robot is in contact with the human and an environment simultaneously, the force sensor reading includes both the human and the environmental force resulting in ineffective contacting interaction within these three objects (robot, human and environment). In addition, if the environment is moving, it is more challenging for the operator to track the target with the robot. Therefore, in this paper, we address the issue of pHRI coupled with a moving environment. More specifically, we use a collaborative robot with an ultrasound probe as an illustration due to its sophisticated condition: the operator needs to contact the environment using a sufficient force to get clearer images and track the moving target. The proposed control scheme is employed using only one force sensor to guarantee a stable physical interaction within three objects and provide the compliant and intuitive operation for human. Experiments with a collaborative robot are conducted to evaluate the effectiveness of the proposed controller.
Development of an Interface for Human-Robot Interaction on a Robotic Platform for Gait Assistance: AGoRA Smart Walker

Alterations to the human locomotor system, commonly result in problems related to balance and gait stability. To address such gait dysfunctions, several mobility aids have been developed. Devices, such as Smart Walkers (SWs), in conjunction with Human-Robot Interaction (HRI) interfaces, are typically implemented. However, common HRI interfaces are not able to provide safe assistance, at the same time as, proper environment interaction and natural user interaction. In this paper is presented the implementation of a safety robust and novel HRI interface on a SW, that provides secure human-walker interaction, as well as, environment and user interaction systems. To this end, a navigation system, a people detection system, a gait cadence estimator, a user's intention detection system and several control strategies were implemented. Additionally, a preliminary validation was conducted with a healthy user.
Multiobjective Optimization Approaches to Airline Crew Rostering Problems: A Case Study

This work investigates an airline crew rostering problem derived from a real practice of a large airline company in China. The problem has the characteristics of large scale, complex constraints and multiple objectives. Three multiobjective evolutionary algorithms are developed to seek a set of approximated Pareto optimal solutions. The algorithms are verified via several groups of instances extracted from a realworld airline's operational data. The computational results can help us gain insight into how to make better trade-off decisions among different objectives.
Numerical Simulation on Hydrodynamic and Acoustic Performance of Circular Cylinder Using Bio-Inspired Method

The hydrodynamic noise radiated from a circular cylinder can be reduced effectively by controlling the flow field. A bionic method proposed in this study is one of the flow control methods. The effects of bionic serrated structures arranged on both sides of a cylinder on hydrodynamic and hydroacoustic performance of the cylinder were numerically investigated. At the Reynolds number of 43,000, based on approach flow velocity and cylinder diameter, the simulation approach of Large Eddies Simulation (LES) were verified by compared with an experiment. The simulation results indicated that the serrated structures arranged on both sides of the cylinder have a significant influence on the hydrodynamic and hydroacoustic performance of the cylinder. The serrated structures can control the fluctuating lift force induced by unstable vortices acting on the cylinder surface. Meanwhile the hydrodynamic noise of the cylinder can be reduced by arranging serrated structures on both sides.
Complete Genome Sequence of Escherichia Phage vB_EcoM-Pr121LW, Isolated from Soil in an Organic Farm

Here, we report a new member of rV5-like phages, Escherichia phage vB_EcoM-Pr121LW, isolated from soil samples and lytic against different serogroups of Shiga toxin-producing Escherichia coli (STEC) strains. With molecular properties that contain no antibiotic resistance, virulence, or lysogenic genes, this phage is a potential biocontrol agent against STEC. ABSTRACT Here, we report a new member of rV5-like phages, Escherichia phage vB_EcoM-Pr121LW, isolated from soil samples and lytic against different serogroups of Shiga toxin-producing Escherichia coli (STEC) strains. With molecular properties that contain no antibiotic resistance, virulence, or lysogenic genes, this phage is a potential biocontrol agent against STEC.
Constructing the Community Assignment Matrix for Overlapping Community Detection

To convey how strongly the object affiliate to the community, we use a random count matrix as the community assignment matrix for overlapping community detection. This paper proposes a constructing algorithm for the Pitman-Yor type multi-scoop Indian buffet process, which can obtain the power law behavior of the statistics of latent features and leads to control a reinforcement mechanism, is flexible to model the com-munity assignment matrix. Before proceed to the constructing algrithm, some related fundamental concept are viewed, also the definition and characteristics of the Pitman-Yor type multi-scoop Indian buffet process are elaborated comprehensively.
An Operation-Level Collaborative Filtering Approach Based on Logistic Function for Web Services Recommendation

With the proliferation of services on the web, it is increasingly vital to recommend services that best meet users' requirements. Collaborative filtering has been successfully used for service recommendation. However, it still faces two challenges: 1) to infer user interest from the service level is imprecise as a user often only calls several operations of a service; and 2) to calculate user interest similarity based on the sparse rating data is inaccurate as there are not enough co-rated services. In view of these challenges, an operation-level collaborative filtering approach based on Logistic function is proposed in this paper. First, according to the number of service operation calls, a user preference is calculated by a Logistic function. Then, collaborative filtering based on the usage preference rather than based on the sparse ratings is implemented for service recommendation. The effectiveness of this approach is verified by some experiments.
Neural Biclustering in Gene Expression Analysis

Clustering in high dimensional spaces is a very difficult task. Dealing with DNA microarrays is even more difficult because gene subsets are coregulated and coexpressed only under specific conditions. Biclusterng addresses the problem of finding such submanifolds by exploiting both gene and condition (tissue) clustering. The paper proposes a self-organizing neural network, GH EXIN, which builds a hierarchical tree by adapting its architecture to data. It is integrated in a framework in which gene and tissue clustering are alternated and controlled by the quality of the bicluster. Examples of the approach and a biological validation of results are also given
Complete Genome Sequence of α-1,3-Glucanase-Producing Strain Paracoccus mutanolyticus RSP-02

A mutanase (α-1,3 glucanase)-producing bacterial strain of Paracoccus mutanolyticus was isolated from soil samples rich in cellulosic waste. Here, we report the whole-genome sequencing and annotation of P. mutanolyticus, which has a genome size of around 3.5 Mb and the potential to degrade water-insoluble α-1,3 glucans with an overall G+C content of 67.4%. ABSTRACT A mutanase (α-1,3 glucanase)-producing bacterial strain of Paracoccus mutanolyticus was isolated from soil samples rich in cellulosic waste. Here, we report the whole-genome sequencing and annotation of P. mutanolyticus, which has a genome size of around 3.5 Mb and the potential to degrade water-insoluble α-1,3 glucans with an overall G+C content of 67.4%.
Methods of Enriching The Flow of Information in The Real-Time Semantic Segmentation Using Deep Neural Networks

Semantic Segmentation is one of the visual tasks that gained the significant boost in performance in recent years due to the popularization of Convolutional Neural Networks (CNNs). In this paper, we addressed the problem of losing information while changing the size of input images during training neural models. Moreover, our method of downsampling and upsampling could be easily injected into current autoencoder models. We show that without any significant changes in a model architecture it is possible to noticeably improve IoU metric. On popular Cityscapes benchmark, our model is achieving almost 2.5% boost in the accuracy of segmentation in comparison to the widely known ERF model. Additionally, to the ability to real-time usages, we run our network on GPU comparable to NVIDIA Jetson Tx2, what let us implement our algorithm in autonomous vehicles.
Using a sparse model to evaluate the internal structure of impulse signals

Impulse nature signals generated by complex geophysical systems require special methods to study their internal structure. These signals are characterized by a short duration of impulses and the variability of their structure. The use of classical spectral and time-frequency methods raises great difficulty. The authors propose a model of an impulse signal based on a sparse approximation and an algorithm for identifying a model. The algorithm is a modified matching pursuit algorithm using a physically based system of functions (dictionary). The study of modeling results consists in estimating the time-frequency characteristics of the model components. The paper gives an example of the model application on geoacoustic emission signals of a seismically active region (Kamchatka peninsula). The proposed model and approaches to the model investigation can be used for a wide range of impulse nature signals.
On Distributed Optimization for Supply Demand Coordination in Cyber Physical Energy Systems

It is of great practical interest to coordinate the stochastic supply and uncertain demand on electricity in a cyber physical energy system (CPES) such as urban energy internet and micro grid of buildings, especially by scalable distributed optimization algorithms. We consider this important problem in this paper and make the following major contributions. First, we consider the coordination between the supply of wind power generation and the charging demand from a fleet of shared electric vehicles in urban cities. The problem is formulated as a Markov decision process with average cost over finite stages. Second, we propose index policy, which is suitable for distributed implementation. Third, we numerically compare the index policy with Q-learning algorithms on case studies. The results show that index policies are scalable and achieve good performance in general. We hope this work sheds insight on distributed optimization for supply demand coordination in CPES in general.
Hypergraph Partitioning for Big Data Applications

Scalability is an important issue for big data management, and minimizing the query cost among multi-hosts in the Cloud is benefit to horizontal scaling. Hypergraph provides a good tool to model data and data relationships of complex networks, the typical big data applications. and partitioning a hypergraph helps to partition the query loads on several hosts. Since balanced hypergraph partitioning is an NP-hard problem, a few heuristic net-cut hypergraph partitioning algorithms have been developed. However, vertex-cut hypergraph partitioning methods would be effective than net-cut hypergraph partitioning ones. In this paper, we proposed a heuristic vertex-cut hypergraph partitioning algorithm, namely vcFM, which partition the hypergraph into balanced sub-hypergraph as required, based on the move of hyperedge. We show the feasibility of this idea, evaluate our method on the Facebook dataset with a variety of settings, and compare it against two alternative solutions. Experiment findings show that vcFM is scalable and outperforms the other two partitioners on low cutsize while retaining balanced partitions.