Miracle-dz/UniFAR-FTUs huggingface dataset:
Holographic Pepper’s Ghost: Upright Virtual-Image Screen Realized by Holographic Mirror

A holographic mirror is a reflection-type holographic optical element that works as an off-axis mirror. It realizes an upright see-through screen serving as a virtual-image display and virtual camera. Such screen enables to realize virtual-image-based attractive applications like Pepper’s ghost only with a thin optical system. This chapter describes the concept of a holographic-mirror-based virtual-image display and virtual camera, an experimental method for exposing the holographic mirror based on holographic printing, methods for dispersion compensation, and experimental results for the proposed virtual-image display and camera.
Computation of Greeks using Malliavin calculus

The valuation of derivatives (in the classical sense) of financial options with respect to different parameters appearing in the underlying asset requires differentiating real-valued functions f of the random price process Xt, namely f(Xt). In many cases, f is not differentiable. This thesis includes an introduction to the Malliavin calculus machinery which is used in the valuation. The main purpose is to derive explicit formulae for Greeks of a wider class of options using Malliavin calculus. The Malliavin calculus deals with the differentiation and integration of fairly general random variables and by using the integration by parts formula it avoids the need to differentiate payoff functions. It also does not require explicit knowledge of the density of the underlying asset. We first review the calculations of Greeks using Malliavin calculus in the Brownian motion case. Then we derive explicit formulae for Greeks in the form of expectations, under the risk neutral probability measure, of the option payoff multiplied by a weight function, namely E[f(Xt)π] for some weight function π, in the jump diffusion case. We also derive some explicit formulae in the case of stochastic volatility and some variants of it which include jumps in the price and variance processes. Furthermore, we obtain an expression for the Malliavin derivative of pure jump Lévy stochastic differential equations in terms of its first variation process. Then we give the necessary and sufficient conditions for a function to serve as a weight function in the pure jump case. Working in the white noise setting, we review the extension of the domain of the Malliavin derivative to the whole L in both the pure diffusion and pure jump cases. Using the Donsker delta function of a pure diffusion process and a pure jump process we derive explicit formulae for ∆. In this way, we can compute Greeks in great generality. All the formulae obtained can then be used to evaluate the Greeks by Monte Carlo methods which are well-established.
Player Experience Evaluation: Which instrument should I use?

The influences, metrics, and applications of User Experience (UX) have been investigated in various contexts and is acknowledged as a driving force to promote game development choices. Recently, there has been a growing interest and need to explore the experience in the context of digital games, which require particular forms of Player Experience (PX) components due to their interaction. These particularities of digital games bring some specific models, characteristics and evaluation methods based on this field. Therefore, both industry professionals and researchers must make informed choices when planning these assessments. This research aims to provide a brief panorama on how PX have been evaluated, and discuss its related concepts, based on the analysis 58 PX evaluation instruments. The data analysis provides a glance on the directions the research on PX evaluation is taking and indicates future research opportunities.
Research on Ontology Model of the Urban Critical Infrastructure System Interdependence

The paper uses ontology method to describe complex interdependency in urban Critical Infrastructure System (CIS). Through the literature review, existing research results have not been excavated the essential causes and influencing factors of the urban CIS interdependency formation. Because the complex network interdependencies in the urban CIS has deep connotation, and the complexity increases with the urban CIS scale. In the research of urban CIS interdependency, attributes such as interdependent nodes and interdependent edges should be taken seriously also, and the data and information contained in them should be refined. The ontology theory can meet above requirements. The paper establishes an interdependency ontology model to generally express the urban CIS interdependency. Keywords—ontology; CIS; interdependency; top-level ontology; application ontology
A Straightforward hp-Adaptivity Strategy for Shock-Capturing with High-Order Discontinuous Galerkin Methods

In this paper, high-order Discontinuous Galerkin (DG) method is used to solve the two-dimensional Euler equations. A shock-capturing method based on the artiﬁcial viscosity technique is employed to handle physical discontinuities. Numerical tests show that the shocks can be captured within one element even on very coarse grids. The thickness of the shocks is dominated by the local mesh size and the local order of the basis functions. In order to obtain better shock resolution, a straightforward hp -adaptivity strategy is introduced, which is based on the high-order contribution calculated using hierarchical basis. Numerical results indicate that the hp -adaptivity method is easy to implement and better shock resolution can be obtained with smaller local mesh size and higher local order.
Control of continuous stirred tank reactor (CSTR) using nature inspired algorithms

Abstract In this paper optimization algorithms name as particle swarm optimization (PSO) and teacher learning based optimization (TLBO) has been implemented on continuous stirred tank reactor (CSTR). Conventional PID controller, PSO based PID control scheme and TLBO based PID control scheme are used to control the system concentration and temperature. Optimization algorithms are used to improve system performance by minimizing mean square error (MSE) and optimize the controller parameters like Kp, Ki, Kd. The Simulation results shows that TLBO based PID controller gives better performance, optimized values of controller parameters and minimum values of MSE in less iteration as compare to PSO based PID controller and Conventional PID controller.
Network for permutation or de-permutation utilized by channel coding algorithm

A network for channel coding permutation and de-permutation comprises: a first side and a second side, each of which has at least one terminal. The network further comprises: two or more columns of nodes located between the first and second sides. A first column of the columns interfaces the first side, and a second column of the columns interfaces the second side. Each of the columns comprises at least one node. Each node of the columns is connected to a first number of nodes of each of adjacent columns next to the columns. The first number is identical for all the nodes in the network. The nodes which are selected as switches are concurrently controlled to perform switching operations. A method of operating said network comprises the following steps: determining a direction that a data flow flowing from the first side to the second side; determining control elements of control signals; associating each of the control elements to one of the switching operations of the nodes which are selected as switches; providing a control sequence composed of the control signals; providing a data flow to be manipulated; reading at least one control element of the control signals; performing a switching operation of the switching operations for the nodes depending on the at least one control element of the control signals which is read; and transmitting at least one part of the data flow through paths established by the switching operations of the nodes.
Universal Conditional Machine

We propose a single neural probabilistic model based on variational autoencoder that can be conditioned on an arbitrary subset of observed features and then sample the remaining features in “one shot”. The features may be both real-valued and categorical. Training of the model is performed by stochastic variational Bayes. The experimental evaluation on synthetic data, as well as feature imputation and image inpainting problems, shows the effectiveness of the proposed approach and diversity of the generated samples
Discussion on the Reform of Discrete Mathematics Teaching in Combination with Cases

The traditional discrete mathematics teaching mode has not adapted to the needs of the training of applied talents at the present stage. Therefore, combining the practice case with the practice case, the students will connect the students to the knowledge and the application effectively. The students understand the theory on line and put forward solutions to the practical problems online. Discuss how to improve the method in the classroom. The feedback results show that the reform of this model is generally accepted by the students, and it is easier for students to master the practical application of the theory than the traditional model. In addition, the teaching design can be amended effectively through the feedback results of the practice of the teaching link, and the teaching reform is deepened. Keywords—Flipped Classroom; Practice case; Discrete mathematics; Teaching model
Feedback Oriented XORed Flip-Flop Based Arbiter PUF

Physical Unclonable Functions (PUFs) are the new hardware entities for the hardware security. These are the security primitives which act as digital identifiers for the Integrated Circuits (ICs). Due to their random response generation and unclonable property their usage is widely increasing in the authentication and security applications. Some of the previously existing arbiter PUFs suffers from low uniqueness. To improve the uniqueness further, a new Feedback Oriented XORed Flip-Flop based Arbiter PUF (FOXFFAPUF) is proposed in this paper. The proposed FOXFFAPUF design is implemented and verified on the Spartan-3 and Virtex-6 FPGA boards using Xilinx ISE. From the experimental results, the average uniqueness is 42% and 44% on Spartan-3 and Virtex-6 respectively. These uniqueness values are higher than 40% achieved through Flip-Flop based Arbiter PUF (FF-APUF). The proposed FOXFFAPUF design is well suited for the identification applications.
Mode selection in device-to-device communications

Device-to-Device (D2D) communication refers to a technology that enables devices to communicate directly with each other, without sending data to the base station and the core network. This technology has the potential to improve system performance, enhance the user experience, increase spectral efficiency, reduce the terminal transmitting power, reduce the burden of the cellular network, and expand cellular applications. In D2D communication UEs are enabled to select among different Transmission Modes (TM)s which are defined based on the frequency resource sharing. Dedicated mode where the D2D communication is direct and data is transmitted through the D2D link by the orthogonal frequency resources to the cellular users so there is not any interference. Reuse mode where data is transmitted through the D2D link by reusing the same frequency resources that are considered for a cellular user or another D2D link so reused mode causes interference at receivers however, the system spectrum efficiency and user access rate may be increased. Cellular mode where the D2D communication is relayed via eNB and it is treated as cellular users. In this work, we aim to reach the optimal mode selection policy, and we use the Markov Decision Process (MDP) method with the objective of maximizing the total expected reward per connection. We present and analyse optimal mode selection policy for several scenarios with different rewards and cost for cellular, dedicated and reused mode. In our study of mode selection issues in D2D enabled network we propose an algorithm for the case when the cellular UE moves in the network. We use QoS parameters, mobility parameters and Analytic Hierarchy Process (AHP) method to define new mobility based mode selection algorithm. To evaluate our proposed algorithm, we considered SNR and delay.
Modified Jaccard index analysis and adaptive feature selection for location fingerprinting with limited computational complexity

ABSTRACT We propose an approach for fingerprinting-based positioning which reduces the data requirements and computational complexity of the online positioning stage. It is based on a segmentation of the entire region of interest into subregions, identification of candidate subregions during the online-stage, and position estimation using a preselected subset of relevant features. The subregion selection uses a modified Jaccard which quantifies the similarity between the features observed by the user and those available within the reference fingerprint map. The adaptive feature selection is achieved using an adaptive forward-backward greedy search which determines a subset of features for each subregion, relevant with respect to a given fingerprinting-based positioning method. In an empirical study using signals of opportunity for fingerprinting the proposed subregion and feature selection reduce the processing time during the online-stage by a factor of about 10 while the positioning accuracy does not deteriorate significantly. In fact, in one of the two study cases, the 90th percentile of the circular error increased by 7.5% while in the other study case we even found a reduction of the corresponding circular error by 30%.
A new approach for the automatic generation of membership functions and rules of multi-variable fuzzy system

That the amount of work of extracting and modulating membership functions and rules expands startlingly with the increasing of the number of variables is presently the crux that influences the development of fuzzy system. This paper introduces a method in which the complicated input-output relationship is firstly decomposed into the accumulation of simple input-output relationships. For each variable, a set of membership functions that are appropriate for all simple input-output relationships are generated, and multiple sets of fuzzy rules that reflect its efficacy on every simple input-output relationship are also extracted. The fuzzy rules of the whole system are then generated based on these sets of fuzzy rules. It is proved simultaneous that the membership functions generated by an individual variable appropriate for each simple input-output relationship are those of the whole system. Because the complicated problem is decomposed into the accumulation of simple ones, the complexity of its solution will not expand startlingly with the increasing of the number of variables and the algorithm can be put into practice.
Dense Scale Invariant Feature Transform-Based Quality Assessment for Tone Mapping Image

High dynamic range (HDR) images give the human visual system (HVS) a better visual experience due to their wide luminance range. However, traditional display devices can’t capture such a large luminance dynamic range, which needs to be remedied by tone mapping (TM) operation. In addition, TM images usually lose a lot of detail information in low luminance and high luminance areas, So a TM image quality evaluation method based on dense scale invariant feature transform (DSIFT) is proposed in this work. First, the DFIFT descriptors of the HDR image and the TM image are extracted respectively, and the local similarity is calculated to represent the detail loss of the TM image. Then, the local quality map is refined by using the Gauss exposure curve because HVS is more sensitive to the detail loss in low-dark and high-light areas of the TM images. Finally, considering the color distortion characteristics of TM image, an objective perception quality evaluation model is established. Experimental results on a public database demonstrate that the proposed method is in good agreement with human visual perception. Keywords—high dynamic range; tone mapping; quality evaluation
CLOE: a cross-lingual ontology enrichment using multi-agent architecture

ABSTRACT This article proposes across-lingual ontology enrichment (CLOE) approach for enriching ontologies from amultilingual text or other ontologies. Athree-level hierarchical multi-agent model has been built, where each node is modelled as an agent. This has several advantages: ontologies can be used to enrich other ontologies in adifferent language, several ontologies can be enriched at the same time, and domain-independent. A prototype for the proposed approach has been implemented. Evaluation results are promising, showing considerable precision and recall scores. We believe that this approach is the first such attempt to enrich multiple ontologies using adomain-independent approach.
Diffusion MRI : from quantitative measurement to in vivo neuroanatomy

Diffusion MRI remains the most comprehensive reference for understanding this rapidly evolving and powerful technology and is an essential handbook for designing, analyzing, and interpreting diffusion MR experiments. Diffusion imaging provides a unique window on human brain anatomy. This non-invasive technique continues to grow in popularity as a way to study brain pathways that could never before be investigated in vivo. This book covers the fundamental theory of diffusion imaging, discusses its most promising applications to basic and clinical neuroscience, and introduces cutting-edge methodological developments that will shape the field in coming years. Written by leading experts in the field, it places the exciting new results emerging from diffusion imaging in the context of classical anatomical techniques to show where diffusion studies might offer unique insights and where potential limitations lie. It is fully revised and updated edition of the first comprehensive reference on a powerful technique in brain imaging. It covers all aspects of a diffusion MRI study from acquisition through analysis to interpretation, and from fundamental theory to cutting-edge developments. It features new chapters covering connectomics, advanced diffusion acquisition, artifact removal, and applications to the neonatal brain. It provides practical advice on running an experiment. It includes discussion of applications in psychiatry, neurology, neurosurgery, and basic neuroscience. It features full color throughout.
Implementing the System, Instructor and Student Model to Achieve Required Software Quality Assurance

This study implements the System, Instructor and Student Model to achieve required software quality assurance. A software application was developed considering the factors of System, Instructor and Student Model. ASP.NET is used for building the application along with C# programming language. The graphical user interface was built using HTML5. The application was tested over three educational institutions in Sudan. The obtained results were compared to determine if they are really satisfying the requirements, needs and acquisition of the right knowledge according to quality assurance. The model has easily corrected the mistakes in the previous models and addressed the defects that occurred. The results were accurate and promising. We hope that this model serves as a basis for the evaluation of other E-learning softwares in the future.
Using P&O Based Sensorless Method in Single-Axis Solar Tracker

This paper presents a power and light sensorless P&O (perturbation and observeration) based single-axis tracking method. This method can be utilized in both solar power stations and standalone systems, such as a building or water pumps to track the sun. With the help of a stepper motor, the angle of incidence is changed constantly while a controller simultaneously compares the maximum received power from each angle, As a result, the system will find correct direction toward the sun. In this method the maximum value of solar energy is captured at any time during a day. Its manufacturing cost is much less than sensor based solar trackers and also it can accurately track the sun in different weather conditions such as cloudy sky. The advantage of this system is that it works regardless of any current or light sensors. The proposed method is verified by the simulations and experiments.
Protection Coordination in Electrical Substation Part-2 Unit Protections (Differential and Distance Protection)

Power systems must be protected against faults to ensure quality and reliable generation, transmission and distribution of power systems. Power system protection is provided by the protection relays. This paper is the second part of the Protection Coordination study for the Siddik Kardesler Substation. The protection for transmission lines, transformer, bus bars and customer feeders is provided by overcurrent protection, differential and distance protection schemes. In this paper, issues related with the Differential Protection and Distance Protection for the substation will be discussed. Finally the test and commissioning have been conducted and the substation is successfully energized without problem.
MULTI-MYCOTOXIN SCREENING OF FOOD GRAIN PRODUCED IN RUSSIA IN 2018

liquid chromatography coupled to tandem mass spectrometry was used to detect 28 analytes: regulated mycotoxins deoxynivalenol (DON), T-2 toxin (T-2), zearalenone (ZEA), fumonisins B 1 and B 2 (FB 1 and FB 2 ), aflatoxin B 1 (AFL B 1 ), ochratoxin A (OTA), their derivatives 3- and 15-Acetyl-DON, nivalenol (NIV), fusarenone X (FUSX), HT-2 toxin (HT-2), T-2 triol, neosolaniol (NEOS), α - and β -zearalenol ( α - and β -ZEL), aflatoxins B 2 , G 1 , G 2 (AFL B 2 , G 1 , G 2 ), sterigmatocystin STC; Alter- naria mycotoxins tentoxin (TE), altenuene (ALT), alternariol (AOH), its methyl ether (AME); citrinin (CIT), citreoviridin (CTV), mycophenolic acid (MPA) and cyclopiazonic acid (CPA). Most wheat samples from Central, Volga, Urals and Siberian Federal Districts were positive for Alternaria toxins, while deoxynivalenol (DON) was discovered in the wheat from the Krasnodar region. ZEA, T-2 and HT-2, OTA, CIT and MPA were present in wheat samples also. FB 1 or FB 1 + FB 2 and DON (DON or DON + 15-AcDON) prevailed in corn from the Southern and the Northern Caucasus regions. MPA and NEOS were detected in a third of studied corn samples, while Alternaria toxins were absent. Barley from the South of Russia was mostly contaminated with T-2 and HT-2 alongside FB 1 . Like wheat, most barley samples from Central, Volga, Urals and Siberian Federal Districts were positive for Alternaria toxins. The occurrence of Alternaria toxins in rye and oat samples was high regardless of region of origin. T-2 and HT-2, NEOS and CIT were detected in these samples also. However, DON was not found in any sample of barley, rye, or wheat. To the best of our knowledge, we are the first to report CTV in food grain of wheat, barley and corn from Russia. Thus, the detected mycotoxins pattern of food grain proved to depend on the crop and the grain origin. The results correlate well with reported data on fungal contamination of cereals and mycotoxins found in feed. High OTA occurrence (7.4 % of all samples) with 45 % positives over maximum level should be noted concerning safety assurance. T-2 and β , , 2 , , Alternaria is first