Miracle-dz/UniFAR-FTUs huggingface dataset:
Consciousness -- What Is It?

Conventionally, there is a tendency to view consciousness as simply a property or activity of the brain. One can explain a lot about consciousness in this way – but not everything. In this article, we draw attention to certain aspects of consciousness that resist the conventional interpretation including, in particular, out-of-body experiences, past-life memories, the apparent linked consciousnesses of twins, and healing at a distance.
Modeling Complex Building Structure (LoD2) Using Image-Based Point Cloud

A method designed to reconstruct outdoor 3D building models automatically from a point cloud is presented in this paper. The proposed approach starts with building detection using spectral and spatial data from the UAV point cloud to remove non-building features. RANSAC, modified convex hull, and line growing algorithms are used to extract main roof planes and their boundaries. Roof planes are adjusted to each other using geometrical constraints, the height of each plane is estimated and a 3D model for the whole structure is constructed with LoD2. The key contribution of this approach is using a hybrid approach of model-driven with statistical analysis for modeling complex structures from a noisy point cloud. The reconstructed model shows that the workflow is sufficient to describe the whole building structure in the required LoD.
CurvMaps: A Novel Feature for 3D Model Classification

Exploiting 2D-manifold slicing and parameterisation techniques in order to manage a 3D model as a 2D representation is an active research field, that enables the application of a wide range of image processing and analysis techniques. In this work, we propose a method to represent a 3D model’s surface on a 2D regular grid and encode its k1 curvature, thus producing a new 3D geometry feature, the CurvMaps, that may be used for 3D model classification. The feature creating transformation relies on the identification of a 3D model’s geometrical "extrema", the computation of k1 principal curvature and its encoding into a 2D regular grid. The applicability of CurvMaps in 3D model classification is being discussed through the experimentation with a number of classical methods.
Improved performance of LDPC-coded MIMO systems with EP-based soft-decisions

Modern communications systems use efficient encoding schemes, multiple-input multiple-output (MIMO) and high-order QAM constellations for maximizing spectral efficiency. However, as the dimensions of the system grow, the design of efficient and low-complexity MIMO receivers possesses technical challenges. Symbol detection can no longer rely on conventional approaches for posterior probability computation due to complexity. Marginalization of this posterior to obtain per-antenna soft-bit probabilities to be fed to a channel decoder is computationally challenging when realistic signaling is used. In this work, we propose to use Expectation Propagation (EP) algorithm to provide an accurate low-complexity Gaussian approximation to the posterior, easily solving the posterior marginalization problem. EP soft-bit probabilities are used in an LDPC-coded MIMO system, achieving outstanding performance improvement compared to similar approaches in the literature for low-complexity LDPC MIMO decoding.
Selection of Capacitor in PV System for Maximum Power Point Tracking

This paper discusses the calculation of capacitor value connected between a Solar PV and the relevant electric power converter operated under maximum power point condition. The capacitor value is important for extracting maximum power from solar PV system. A detailed analysis is presented to show the impact of the capacitor value on the maximum power point tracking capability under temperature and irradiation variation. Theoretical analysis is validated through simulation done in PSIM 9.1. 1 and experiments performed on a 500-watt solar PV prototype system.
Research on configurable strategy of spacecraft data management system

The working model for the spacecraft testing has been evolving and will continue changing as this process is going on. This evolvement has aroused challenges to the designs of the spacecraft data management system. The problems include that requirement of the evolving working model could not be satisfied by simply tailoring the functions of the old systems, and that computing resources accumulated in history fails to be effectively utilized to serve the new applications. In response to these problems, this paper proposed a configurable strategy for spacecraft data management system. It contains the following parts: encapsulates basic computing units as components, connectors and component linkage language in which data management system can be developed by manipulating components and connectors. Finally, a part of the system implementation example illustrated effectiveness of the scheme proposed in this paper.
A Multi Objective Control Strategy Based Power Flow Management of PV System For Remote Power Solutions

This study presents the design and implementation of Multi Objective Control Strategy (MOCS) based controller for the PV system with Soft Switched Interleaved Flyback (SSIFB) converter to balance the power flow between the PV modules, storage battery and loads. The MOCS controller generates the control variable based on the MPPT control loop and the battery charging loop. The effectiveness of proposed control strategy at constant irradiations, rapidly varying irradiations and load changes is verified by simulation and validated by hardware results. Both the simulation and hardware results prove that the designed controller optimizes the power flow management within the PV system such that PV power is utilized effectively, the battery is charged suitably and the load demand is satisfied irrespective of the variations in solar irradiations.
Extreme helium stars: non-LTE matters Helium and hydrogen spectra of the unique objects V652 Her and HD 144941

Received; accepted Abstract. Quantitative analyses of low-mass hydrogen-deficient (super-)giant stars - so-called extreme helium stars - to date face two major di culties. First, theory fails to reproduce the observed helium lines in their entirety, wings and line cores. Second, a general mismatch exists for e ective temperatures derived from ionization equilibria and from spectral energy distri- butions. Here, we demonstrate how the issue can be resolved using state-of-the-art non-LTE line-formation for these chemically peculiar objects. Two unique high-gravity B-type objects are discussed in detail, the pulsating variable V652 Her and the metal- poor star HD 144941. In the first case atmospheric parameters from published LTE analyses are largely recovered, in the other a systematic o set is found. Hydrogen abundances are systematically smaller than previously reported, by up to a factor 2. Extreme helium stars turn out to be important testbeds for non-LTE model atoms for helium. Improved non-LTE computations show that analyses assuming LTE or based on older non-LTE model atoms can predict equivalent widths, for the Hei 10 830 A transition in particular, in error by up to a factor 3.
Comparative Study on Solar Photovoltaic Array Configurations Under Irregular Irradiance Conditions

Power delivered by a Photovoltaic (PV) cell decreases significantly due to non-uniform irradiance condition. Consequently, in case of PV module or array, the generated output power get reduces and further deteriorates the overall system performance. Many solutions have been reported to reduce partial shadings. Among all, PV array configurations is the effective solution for this problem. Various PV array configurations are mentioned in the literature to mitigate partial shading condition (PSC). This paper presents the comparative study on PV array configurations reported in the literature such as "Series-Parallel (SP), Total-Cross-Tied (TCT), Bridge-Link (BL), Honey-Comb (HC), Modified Bridge-Link (MB), hybrid SP-TCT, hybrid BL-TCT along with proposed hybrid HC-TCT" under partial shading conditions on 4 4 PV array. Further, the performances of all configurations are×investigated by comparing the global maximum power point (GMPP), voltage at the global maximum power (VGMPP ), fill-factor (FF) and possible local peaks (PLP) by using MATLAB-SIMULINK.
Using Parallel Web Pages for Multi-lingual IR

In this report, we describe the approach we used in CLEF Cross-Language IR (CLIR) tasks. In our experiments, we used statistical models estimated from parallel texts automatically mined from the Web. In our previous experiments, we tested CLIR for English-French and English-Chinese. Our goal of this series of experiments is to see if the approach may be extended to multi-lingual IR (with other languages). In particular, we compare models trained from the Web documents with models that also combine other resources such as dictionaries.
Frequency Control in an Autonomous Two-area Hybrid Microgrid using Grasshopper Optimization based Robust PID Controller

The intermittency in the output power of renewableenergy sources, along with the system and load perturbations in thestandalone multi-microgrid results in large frequency deviations. The traditional PI/PID controller is unable to provide the acceptable performance for the operating conditions as mentionedabove. To address this problem, this paper suggests an efficient loadfrequency controller for the frequency control of a microgrid (MG). In this proposed controller, the parameters of PID controllers arefine-tuned by using grasshopper optimization algorithm (GOA). Inthe proposed strategy, diesel engine generators (DEGs) and redox flow batteries (RFBs) are responsible for balancing the generation and load in the hybrid microgrid system. The proposed controller isexecuted on an autonomous 2-area hybrid microgrid test system, under various parametric and systemic disturbances. Finally, howbetter the proposed controller interms of error reduction, settling time and overshoot is shown by comparing with various techniques available in the literature.
Multipulse Diode Rectifiers: Power Quality Perspective Based On Experimental Data

The diode rectifiers are essentially uncontrolled, unidirectional ac-dc converters that provide dc output voltage. Power diodes that constitute these converters have the largest voltage, current and hence, power dissipation ratings compared with the other semiconductor devices including the self-latching and self-commutating ones. Single- and three-phase topologies of these converters cater to a plethora of applications that range from a few milliwatts to several megawatts. In this paper the diode rectifiers have been classified into three types, the fundamental ones that have a pulse number less than or equal to three and the multipulse ones that can be realized by the series or parallel cascade of the former, to facilitate analysis from the power quality viewpoint. The advantages of the multipulse diode rectifiers and their capability of ac to dc conversion in compliance with current power quality standards are experimentally verified. In this paper, the power quality data of various rectifier topologies obtained from prototypes have been analyzed to establish correlation of the pulse number with performance parameters. Topologies of the single-, two-, three-, six-, twelve- and eighteen-pulse rectifiers and their power quality indices obtained from experimental data are presented.
Effect of Leakage Flux on the Design of a LCI fed Active-Reactive Induction Motor Drive

The Active-Reactive Induction Motor (ARIM) has been introduced in literature as an alternative to the synchronous motor in medium voltage Load Commutated Inverter (LCI) fed drives. The resulting drive has been shown to have lower cost with improved reliability and ruggedness. The ARIM is basically a squirrel cage induction motor with two sets of three-phase stator windings. While one winding is rated for high voltage and power, the other winding is rated for a lower voltage and power. The system is controlled such that the low voltage winding fed from a VSI, supplies enough reactive power to the machine so that a leading power factor is seen at the terminals of the high voltage winding. This enables the high voltage winding to be fed from a LCI which supplies all the active power. The ARIM being a non-conventional machine intended for a specific Medium Voltage (MV) drive topology, requires some special design considerations. This paper describes the effect of leakage flux on the operation of the MV LCI fed ARIM drive. An iterative design procedure to obtain the optimum ratings of the VSI and the flux winding is proposed. The proposed method is illustrated with an example design of a 6.6 kV, 1 MW ARIM drive. A prototype 3.3 kV, 75 kW ARIM is built to verify the design.
EV Benefit Evaluation in a Collaborative Scheduling Environment with Penalties for Unscheduled EVs

Electric Vehicle (EV) charging scheduling is a necessary aspect of everyday use of EVs. It may be addressed with respect to the grid, the service provider (aggregator) and the EV owner (customer). This paper presents a profit maximization collaborative multi-aggregator scheduling scheme which evaluates the customer benefits in two ways. The first is to propose an indicator that evaluates the impact of multi-aggregator collaboration on the EV charging cost. The second is to include a fine levied on the service provider as a consequence of EVs remaining unscheduled. A distributed approach is considered while performing a multi-aggregator collaborative scheduling. The results indicate that collaborative scheduling results in greater aggregator profits along with lowered EV charging costs. It was further observed that multi-aggregator collaboration results in fewer penalties due to unscheduled EVs, resulting in an increase in the total number of scheduled EVs and the aggregator profits.
Assessment of Noise Reduction in Switched Reluctance Motor Using Conformal Mapping

Switched reluctance motor (SRM) offers unique advantages in terms of robustness and simplicity in construction. But, noise generated in SRM is high compared to other motors. A significant difference in the radial forces of attraction between stator and rotor at aligned and unaligned rotor positions leads to higher noise generation. Noise reduction techniques can be classified into two primary domains: design modifications and post-design control schemes. Finite element analysis (FEA) tools are widely used for assessment of noise reduction techniques. In the proposed work, conformal mapping (CM) based analysis is carried out to assess a post-design control scheme involving current shaping. Comparable simulation results are obtained for radial force calculation dependent estimation of noise reduction from CM and FEA based methods. CM leads to computationally efficient and simple to implement noise reduction assessment procedure. In cases where design is already optimized or available and control schemes are to be assessed for noise reduction, CM based analysis can be done.
Direct Simulation of the Full-Wave Partial Element Equivalent Circuit Using Standard SPICE [Application Notes]

The partial element equivalent circuit (PEEC) [1] is a computational electromagnetic (EM) method featuring circuit-oriented solutions for full-wave (FW) EM problems. An arbitrary threedimensional structure consisting of conductors and dielectric/magnetic materials can, after proper discretization, be transformed into an equivalent circuit composed of inductors, capacitors, and controlled sources that may be solved using a Simulation Program With Integrated Circuit Emphasis (SPICE)-like simulator or can be combined with external lumped circuits in a straightforward manner. Classical and recent applications of PEEC include interconnect modeling [2], [3], power integrity analysis [4], transient lightning modeling [5], transient electrostatic discharge simulation [6], power electronics [7], antenna analysis [8], [9], and modeling of magnetic materials [10]. Three very good and in-depth treatments of the subject can be found in [11]–[13].
Face Recognition in compressed domain by applying Canonical Correlation Analysis based feature vector optimization and Neural Network matching

Summary This research work presents an efficient approach for performing face recognition in compressed domain by applying Canonical Correlation Analysis based feature vector optimization. CCA is a dominant method for multivariate analysis and therefore a powerful method of feature projection based on CCA is proposed for compressed facial images. A major advantage of the proposed approach is the fact that face recognition systems can straightly work with JPEG2000 compressed images as it uses entropy points as input to the new face recognition system based on CCA. Cascade Forward back propagation neural network is used in the new method for matching of the images. Labeling of images is applied in the lateral part of the research for better recognition of images with varying expressions. The experimental results proved that the proposed method is very effective in achieving high Recognition Rate (RR) and Normalized Recognition Rate (NRR) with great reduction of computational time.
Packet scheduler for meeting deadline in 4-4; 1-4 architecture

The distributed computing models such as MapReduce, Dryad, cluster based file systems, query to web search engine, parallel scientific applications and many other are associated with problems such as incast congestion, queue buildup and memory pressure. These adversities hinders the flows to meet their associated deadlines and ultimately the service level agreement (SLA). There are two classes of solutions proposed for the problems of congestion and meeting deadlines for the flows - a congestion control at the transport layer and resource allocation at the network layer. The proposed solutions at the transport layer modulated the TCP window size according to the extent of congestion and the deadline value associated with the flows. These solutions are proposed based on the assumption that the intermediate switches maintain soft-state about the flows. Thus, the entire flow has to follow a static path from begin to end.Contrast to this, the location based routing proposed for DCN tries to utilize the path diversity provided by the underlying architectures by distributing the flows among all the available outgoing paths using the Equal Cost Multiple Paths (ECMP). In this paper, we propose a packet scheduler that helps the flow to meet their associated deadline. We consider our proposed $4-4,1-4$ architecture as an example architecture for location based routing. Packet scheduler for $4-4, 1-4$ helps the flows to meet their deadline by arranging the packets at the intermediate switches according to their associated deadlines. With prioritizing and scheduling the packets at the network layer, the flows are not constrained to assign to a static path and the intermediate switches need not to maintain any flow state information.
3D Reconstructions with KinFu Using Different RGBD Sensors

RGBD sensors are widely used in robotics and computer vision. Since the Microsoft Kinect was launched, various other sensors, such as the Asus Xtion PRO LIVE and the Intel R200, have been developed. Among other applications, these sensors are useful for 3D reconstruction, which can be achieved with KinFu (an open-source implementation of KinectFusion). Reconstructions of objects and people are useful in multiple fields such as computer graphics and ergonomics. In this paper, we analyze if the 3D reconstructions generated by KinFu depend on the sensor used to record its input. The analysis comprehends qualitative and quantitative evaluations of reconstructions created from point clouds recorded with six well-known sensors. The results suggest that the reconstruction is sensor dependent and the selection of a determined sensor is conditioned to the requirements of each application.
Power Constrained, Power Adaptive, Decode and Forward Relay Selection Policy Design and Performance Analysis

Decode-and-forward (DaF) or amplify-and-forward (AaF) relay based cooperative communication systems have been widely studied in the literature. It has been proved that relay-assisted device to device (D2D) communication can improve network performance. In this paper, a novel power adaptive, probability based relay selection policy (PA-PBRSP) is proposed for a four node relay assisted D2D cooperative communication network. In it, a power adaptive decode-and-forward (PADaF) relay whose average transmit power is constrained, adapts its transmit power and gain before encoding the signal and forward it to the destination. For the proposed policy, fading averaged symbol error rate (FASER) performance is analyzed. Specifically, analytical expressions for exact FASER and its upper bound are derived when M–ary phase shift keying (MPSK), and M–ary quadrature amplitude modulation (MQAM) schemes are employed. In order to validate the analytical results, Monte-Carlo simulations are performed for both the modulation schemes. To quantity the performance gains delivered by PA-PBRSP, the results of the proposed relaying policy are compared with the benchmark policies. Various numerical results that we obtained reveal that the proposed policy delivers FASER which is several times lower than the FASER of the benchmark relaying policies. This motivates use of PA-PBRSP policy in modern cooperative wireless networks.
Biometric SystemA Review

Now a day the Biometric is becomes the most popular technique due to its liability. Because of need of high security systems we are also using the biometrics broadly. Another feature of biometric is its efficiency. It is very easy to use and handle. In this paper the review of Biometric System is provided. The main steps involve in biometrics is: Image Formation, Image Processing and Image Matching.
Auto-reclose Performance Evaluation on 500kV Transmission Line with Four Circuits on One Tower

The use of transmission line with four circuits on one tower is one way that can be used to minimize the right of way (ROW) issues. There is no study that have discussed the performance of single pole auto-reclose (SPAR) for this type of transmission line, thus it is necessary to study the effect of using this transmission line to SPAR performance, especially study related to the duration of secondary arc. In this paper, the SPAR performance evaluation is performed by varying the fault location on phase, circuit, and transmission line length using transient analysis application. Each of scenario is simulated on phase arrangement which have the lowest and the highest electromagnetic field magnitude. Based on the simulation results, it is known that the use of phase arrangement with the lowest electromagnetic field magnitude will eliminate the probability of SPAR scheme failure for each single phase to ground fault location on this transmission line configuration.
Group attention control for communication robots with Wizard of OZ approach

This paper describes a group attention control (GAC) system that enables a communication robot to simultaneously interact with many people. GAC is based on controlling social situations and indicating explicit control to unify all purposes of attention. We implemented a semi-autonomous GAC system into a communication robot that guides visitors to exhibits in a science museum and engages in free-play interactions with them. The GAC system's effectiveness was demonstrated in a two-week experiment in the museum. We believe these results will allow us to develop interactive humanoid robots that can interact effectively with groups of people.