Reviewerly/exHarmony huggingface dataset:
Evaluation of Emotional Meaning of Eyelid Position on a 3D Animatronic Eyes

Emotion is a complex thing in humans, there are many ways to express emotions including eye gaze. Ekman, et al. describing abstractions regarding core features on human faces adopted by Onchi E, et al. through single-eyed 2D avatar that is designed that only move the upper and lower eyelids only. Adopting a 2D single-eye avatar, this study evaluated the similarity of human emotions expressed using 3D two-eye animatronic models with stiff eyelids shared by Will Cogley. Simulation in the form of a survey to evaluate the degree of similarity of the seven types of emotions described by Ekman, et al. i.e. neutral, happy, surprised, sad, scared, angry and disgusted, given to 40 participants with a variety of different backgrounds. The result is that the sample of emotions displayed had a significant effect on the participants' perceptions, each sample was also able to display the meaning of emotions well because there was a significant effect on the interaction between the sample and emotions (p = 5.63 x 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-17</sup> ). Based on these results, the participants had almost similar perceptions of the eyelids with physical embodiment and virtual agents so that these results could be mutually reinforcing. Compared with the results of research using Probo, emotions can be expressed better when facial features such as eyebrows, eyelids and mouth are present. The conclusion of this research is expected to be a step to find out the function of each facial feature that contributes to express emotions.
Hybrid Multiple Granularities Network and Hyperspherical Crown Probabilistic Neural Network with Class Aggregation for Person Re-Identification

With the increasing coverage of video surveillance equipment, person re-identification (Re-ID) is becoming more important in intelligent video surveillance system. This paper proposes the hybrid multiple granularities network (MGN) and hyperspherical crown probabilistic neural network (HCPNN) with class aggregation for person Re-ID. First, the discriminative global features and local features with various granularities extracted from pedestrian images extracted by MGN are concatenated to form the final feature representation. Then, the features are mapped with unit hyperspherical crown model and form the aggregation features for each class. HCPNN constructed with the aggregation features works as a classifier and we can get the proposed hybrid network. In the proposed method, nonlinear mapping model of HCPNN with class aggregation can improve the separability of the samples and minimize the impact of abnormal data as a classifier. Besides, we design the class aggregation strategy to reduce heavy computation of HCPNN under large samples effectively and maintain a high recognition rate. In addition, our experiments implemented on the mainstream datasets show that the proposed method have better performances than current person Re-ID methods.
Implementation of Android Smartphone as CCTV Camera Based on Wifi Network

The Security systems using cameras as monitors or what is commonly known as Closed Circuit Television (CCTV) have recently become more prevalent. However, to have a monitoring system or monitoring requires a fairly expensive cost to buy hardware and installation services. On the other hand, the development of mobile devices is increasingly being used, such as smartphones and tablets. The ease of carrying and the variety of applications available such as WIFI devices and a series of other applications and at relatively affordable prices have made this mobile device more and more in demand by the public today. This research is based on the idea of ​​creating a CCTV camera application using a smartphone that is always with us. This use will be useful for seeing the state of the room or certain places and can be monitored directly using the Android mobile device itself or from a Laptop / PC / Tablet and others.
Development of a Patrol System Using Augmented Reality and 360-Degree Camera

From the viewpoints of safety plant operation and improvement of utilization rate of equipment, reduction of the human error in inspection work and efficient maintenance engineering and inspection work are needed. Therefore, we developed a maintenance support tool using augmented reality (AR) technology and 360-degree camera. Furthermore, the self-localization technology using Visual Simultaneous Localization and Mapping (Visual SLAM) technology is adopted. The inspection work and data management which linked with localization data with Visual SLAM technology are the feature of this system. These technologies help users identify equipment, assist users’ recognition and judgment of the object conditions and effective inspection data management.
Evaluation of Fisheries and Marine Skill Mobile Learning System Using the ARCS Model in Fisheries High Schools and the Search for a System Component to Motivate Learning

In 2019, we proposed an industry-school education skill succession (I-SSS) process and used it to develop a fisheries and marine skill learning system. In this study, we evaluate the appeal of the teaching materials in this system by using the ARCS motivation model from the perspective of learning motivation and search for the components of this system that would motivate learning. We used a teaching material evaluation sheet based on the ARCS motivation model to conduct a survey of students at a fisheries high school after using this system. From the results, we obtained many positive answers with all ARCS model factors, which confirmed that our proposed system had a high degree of usefulness for students. In addition, the results of the factor analysis on the motivation factor for student's learning show that the following the components lead to increased motivation for learning: “Procedure confirmation image, Presentation of finished form”, “Basic skills listed in textbooks”, “Explanation of practicality of skills”, “Explanation of the relevance of skills and work/Qualification”, and “Adoption of terms in textbooks, Easy-to-understand expressions”.
FIR Digital Filters

FIR digital filters are discussed in this chapter. We learn the following frequency pass-and-stop filter design approaches: window method, inverse DFT method, weighted least-squares technique, and Parks-McMillan min-max equiripple design. We write Matlab programs implementing most of the discussed methods. There is no time to lose ....
Secured Cross Layered Watermark Embedding For Digital Image Authentication Using IWT - SVD

In this paper, we are proposing a novel Integer Wavelet Transform(IWT) - Singular Value Decomposition(SVD) blind digital image watermarking scheme using hybrid transform to achieve higher imperceptibility, robustness, security and authenticity. In the proposed scheme, pseudo-random Latin square sequence is used for watermark encryption, encrypted watermark is divided and cross implant technique is used for embedding to overcome the problem of False Positive Problem (FPP). Further watermarking strengthening parameter is optimized using nature-inspired Artificial Bee Colony(ABC) algorithm, Simulation results shows that the proposed scheme has higher imperceptibility and robustness with different image modalities(gray-scale and colored). Performance comparison with some popular schemes shows that the proposed scheme surpass them in terms of robustness, imperceptibility and confidentiality.
Multimodal Gesture Recognition Based on Attention Slow-Fast Fusion Networks

Abstract Gestures serve as the best alternative to traditional human-computer interaction (HCI), but there is still a great challenge to apply gestures to practical operations. Faced with the problem of generally low recognition accuracy in dynamic gesture recognition, we propose a fusion network with a slow-fast structure based on an attention mechanism to improve the recognition accuracy of dynamic gestures. The slow pathway acquires the temporal information of the input dynamic gesture, the fast pathway acquires the semantic information of the gesture in the input video, and suppresses the influence of non-gesture regions on the gesture features as much as possible through the attention mechanism, and finally performs the fusion operation according to the strategy of score fusion to obtain the recognition accuracy of the input dynamic gesture. We validate our proposed method on the ChaLearn large-scale gesture challenge gesture dataset IsoGD, and the experimental results are obtained to verify the effectiveness of our proposed structure by comparing it with the previous experimental results.
Supersonic SNARKs and Applications

Supersonic is a transparent SNARKs proposed by Bünz et al. It has a significant improvement in proof size over previous constructions, while maintaining fast verification time. We summarize and implement Supersonic. The implementation is parallel and has good verifier performance. We run Supersonic on SHA-256 circuit and exponentiation-by-squaring circuit and provide experimentation results.
Formation of Financial Literacy of Schoolchildren on the Topic «Taxes»

The article presents a practice-focused tasks for financial literacy, developed to meet requirements of the new standard on the subject of social Science, International programs, assessment of educational achievements of students 15 years of age PISA (Programme for Internetional Student Assessment). The results of the international PISA study assess the functional literacy of students, including the ability to use knowledge, skills and experience to solve life problems in personally and socially significant situations. When developing tasks, the authors focused on Russian legislation in the field of taxation and labor legislation. Task texts use economic concepts such as accrued salary, after-tax salary (on hand), salary, pension, stipend, and alimony. Tasks can be used by teachers in social studies, economics, mathematics, and financial literacy classes.
Intelligent Fuzzy Logic for STEM-ED in Power Transformer Failure Investigation Based Power Utility Practice

The research in this article describes the development of a STEM based teaching tool for a computer programing in electrical engineering course. The research tool applies a Graphical User Interface simulation program for fault analysis by using Total Dissolved Combustible Gas and Key Gas method. The sampling group consisted of 21 students enrolling in the computer programing course. The quality evaluation of the tool from 5 experts indicates a satisfactory result in average of 4.07 out of 5 as a maximum point. The developed teaching set was effective at 1.06 in accordance with the standard criteria using Meguigans's theory. Learning achievement between pre-test and post-test was significantly different at the level of 0.05. This development of teaching and learning tool can be used effectively in teaching of electrical engineering education.
Analytical Technology Tools Against Corruption and Internal Frauds

In Brazil, organized crime, unfortunately, finds a fertile field that allows its growth and development due to several different aspects. Also, the vast and continental dimension of the Brazilian territory, the evident social inequality, and in many cases, the lack of synergy and collaboration among municipal, provincial, and federal levels are problems. It is important to mention that, in recent times, via its main institutions—executive, legislative, and judiciary—Brazil has been organizing itself and trying to tackle corruption on different fronts, with the use of advanced technology, new procedures of criminal investigation, an increased collaboration between different players and internal cooperation, the celerity in the process of penal persecution, and the revision of laws related to the theme. This chapter aims at displaying technological innovations that have helped law enforcement to act with rigor, speed, and assertiveness in the production of evidence from digital evidence, while respecting the Brazilian Constitution, individual rights, and guarantees of every citizen.
Convolutional Neural Networks for Face Illumination Transfer

Face images contain rich and diverse information and have become the focus of research in the field of computer vision. The current research on facial images includes facial recognition, facial image makeup transfer, facial image segmentation, facial image illumination transfer, facial image beautification and rendering. Among them, the illumination of face images is the focus of research. This paper proposes and implements a illumination transfer method combined with a deep neural network to obtain a illumination transfer result that is closer to the real illumination effect. This method mainly implements illumination transfer through illumination model training and illumination classification, illumination matching, and based on the transfer of image style transfer. First, by combining the convolutional neural network to complete the classification of illumination on the face dataset, a model that can classify the illumination of the face image is obtained; then use the model to achieve the illumination matching of a single face image and obtain an image similar to the illumination of a given face image from the face image illumination dataset; finally, through the illumination classification model, the given reference face illumination image is extracted and processed for the relevant illumination features to facilitate the transfer to the input face image so that realizes the illumination transfer to the entire face image, including the neck, etc., and can move the illumination in multiple directions.
Russian Publications in «Informatics»: Trends of Development

This article considers the current state and evolution of the Russian publication flow in the field of Computer Science in the Web of Science (WOS) database. In this article, we use the term "Informatics" for "Computer Science". The study analyzes the Russian flow to determine its position in the world Computer Science publication flow and its compliance to the National project "Science" requirements. We analyzed the Russian publication flow in 2010–2019 and compared it with other countries. The structure of the flow by the document type and its temporal dynamics was studied as well as the impact on citation metrics. Compliance of the flow characteristics to the requirements of the Ministry of Higher Education and Science of the Russian Federation (Ministry) requirements was analyzed. The analysis indicates an increase in the number of Russian computer science publications within 2010-2019,which outstrips the increase in the total number of world publications in Computer Science. This allowed Russia to move from 34 to 15 positions in the world rating in the studied research area. However, this position is not sufficient to achieve the goal of the "Science" National Project, namely, at least, the fifth position in the world rating. According to the methodic requirements of the Ministry, four types of documents were studied: Journals Articles, Conferences Proceeding Papers, Book Chapters, and Reviews. All journals have been classified into the WOS journal quartiles. Our analysis shows that the percentage of publications in the journals of higher quartiles (first and second) increases constantly and made 42 % in 2019. An increase in the number of the Conference Proceeding Papers was the highest among the studied document types. The number of citations of the published documents was studied for each document type. It was shown thatthe citing of the Journal Articles is by the order of magnitude higher than that of the Conference Proceeding Papers. This result indicates the very low interest of the Scientific Society to the Conference Proceeding Papers as compared with the Journal Articles. We conclude that an increase in the number and relative share of the Conference Proceeding Papers together with their low citation results in the low numbers of the overall citation of the Russian publication flow in comparison with other countries neighboring Russia in the world rating. The "Quality Coefficient" was calculated according to the Ministry’s methodic requirements. It was shown that the contribution of Conference Proceedings Papers to this coefficient is much lower than Journals Articles despite the number of the Conference Proceeding Papers is significantly higher. As a result, the flow of Russian publications in the field of Informatics demonstrates significant, though insufficient, growth within the analyzed period. Special attention should be paid to the document type structure of the flow.
APRIMORAMENTOS DA SOLUÇÃO PARALELA BASEADA EM OPERAÇÕES COLETIVAS PARA O BOOTSTRAP DA RECONSTRUÇÃO DE ÁRVORES FILOGENÉTICAS NO PHYML 3.0

Phylogenetics determines the evolutionary relationships between groups of species, through a phylogenetic tree. PhyML is among the main programs for the reconstruction of phylogenetic trees. Bootstrap is a statistical method used to measure the confidence of a given data set, which is usually applied in the analysis of inferred phylogenetic trees. In PhyML this method has two MPI parallel implementations: with point-to-point operations and collective operations. The second version is more efficient than the first, however it has a limitation on the number of bootstrap to be used due to the increase in memory consumption. In order to solve this problem, three proposals were developed. The objectives of this work were to carry out the validation of these versions together with performance tests. The validation showed that the proposed solutions present results equivalent to the point-to-point version. In the performance simulations, two solutions were shown to be superior to the point-to-point version, with the best one achieving gains of 28.46% and 39.64% for 32 and 64 processes, respectively. Therefore, the enhancements allow alternatives to the point-to-point version without limitingmemory.
Off-site domestic wastewater management system in Banda Aceh, Indonesia: the problems and future solutions concept

Abstract Currently, Banda Aceh has been dealing with several problems related to pollution caused by domestic wastewater. According to previous studies, shallow groundwater and surface water in Banda Aceh have been contaminated by domestic wastewater produced by the community. The settlement scale off-site system with communal-WWTP operating in several villages has not function optimally in treating domestic wastewater. The problem also caused by service coverage which is still very small (only 2.12% of the total population). Therefore, it is require an acceleration of service improvement, by developing urban scale off-site system with centralized-WWTP and a wider pipe line network system. Moreover, further investigations are needed to develop the concept of planning as a preliminary design in the management of urban scale off-site system. This paper aims to develop a concept of domestic wastewater management using an urban scale off-site system that considers environmental characteristics in Banda Aceh as an alternative to mitigate the occurrence of water body pollution by domestic wastewater.
FPGA Implementation of Interval Type-2 Fuzzy System Based on Nie-Tan Algorithm

The Interval Type-2 Fuzzy Logic Systems - IT2FLS processors have been widely used in control processes that analyzes uncertain information. The IT2FLS presents a superior performance compared to other methods for high uncertainty applications. In real-time control applications, circuit parallelism strategies increase the number of Fuzzy Logic Inference Per Second (FLIPS). This technique demands more hardware resources compared to sequential processing, which can make it difficult to use platforms that have resource limitations. This article presents an IT2FLS architecture implementation minimizes the use of parallel processing in the implementation in the inference engine and maintains the amount of FLIPS suitable for real-time applications. The proposed IT2FLS architecture is implemented in FPGA. It uses the type reduction circuits based on Nie-Tan algorithm. The hardware consists of two 8-bit inputs with four Gaussian membership functions for each one, sixteen rules and an 8-bit output with seven membership functions. The results of the FPGA implementation are compared with the same architecture implemented in Matlab® using the Toolbox for type-2 fuzzy.
Real-time adjustment of zinc powder dosage based on fuzzy logic

This chapter studies the problem of adjusting the zinc powder dosage, in order to achieve precise control of the copper ion concentration. First, in order to evaluate the process, an online evaluation method based on the oxidation–reduction potential (ORP) is proposed. ORP and its trends, which indicate the current state and underlying variation of the copper removal process, are classified into several fuzzy sets. A set of fuzzy inference rules are designed to obtain the evaluation grade according to the fuzzified ORP and its trends. Then, by observing the variation of evaluation grade and using positive and unlabeled (PU) learning, the industrial samples are classified into different categories, namely, controllable domain. The fuzzy control rules are extracted for each controllable domain to determine the adjustment of the zinc powder dosage.
Comparative Study on Neural Vocoders for Multispeaker Text-To-Speech Synthesis

Recent researches on multispeaker text-to-speech synthesis allow cloning a voice unseen during training without retraining the model with new speech samples. Multispeaker text-to-speech synthesis consists of three blocks, namely speaker encoder, synthesizer and a vocoder. An embedding from the short utterance of a single speaker is derived using speaker encoder in the front-end. Synthesizer generates a spectrogram from text through the speaker embedding deduced from the encoder, and the vocoder generates an audio file from the mel-spectrogram output of synthesizer. The choice of the vocoder is an essential factor in determining the quality of the generated audio. In this paper, we study the performance of two vocoders, namely, WaveNet and WavGlow using subjective and objective analysis. A perception test is conducted to analyse the mean opinion score (MOS). Structural similarity index (SSI) between mel-spectrograms of synthesizer output and generated audio samples is also computed. The study shows that WaveNet encoder outperforms WavGlow in voice quality analysis in multispeaker text-to-speech synthesis.
A Conversion of Feature Models into an Executable Representation in Microsoft Excel

Feature model-based configuration involves selecting desired features from a collection of features (called a feature model) that satisfy pre-defined constraints. Configurator development can be performed by different stakeholders with distinct skills and interests, who could also be non-IT domain experts with limited technical understanding and programming experience. In this context, a simple configuration framework is required to facilitate non-IT stakeholders’ participation in configurator development processes. In this paper, we develop a so-called tool Fm2ExConf that enables stakeholders to represent configuration knowledge as an executable representation in Microsoft Excel. Our tool supports the conversion of a feature model into an Excel-based configurator, which is performed in two steps. In the first step, the tool checks the consistency and anomalies of a feature model. If the feature model is consistent, then it is converted into a corresponding Excel-based configurator. Otherwise, the tool provides corrective explanations that help stakeholders to resolve anomalies before performing the conversion. Besides, in the second step, another type of explanation (which is included in the Excel-based configurator) is provided to help non-IT stakeholders to fix inconsistencies in the configuration phase.