Reviewerly/exHarmony huggingface dataset:
Text-to-Speech Synthesis

This chapter describes the state of the art in text-to-speech (TTS) synthesis. It gives an overview of the steps involved in going from input text to generated speech and lists some open-source tools available to create your own TTS applications. In the last few years the use of TTS synthesis in real-world applications has become ubiquitous. But what does it take to build a TTS synthesis system? A TTS system can be seen as consisting of two parts: (1) a linguistic front end, and (2) an acoustic back end. The linguistic front end analyzes the input text and derives linguistic features that are relevant for pronouncing the text. The acoustic back end converts the symbolic representation of the input text to speech. This chapter describes the current prevailing methods including unit selection synthesis, statistical parametric speech synthesis, and waveform synthesis.
Sound and UX Design

Sound design plays an integral role in the way users experience a product or service. This chapter considers various ways in which user-experience (UX) design is defined among scholars and practitioners in the industry, and it briefly explores the disciplinary roots of UX and its connection to other design fields. Taking the work of Donald Norman (one of the pioneers of the field of UX design) as a model, the chapter also highlights the ways we as humans process various types of designed experiences, and it provides corresponding examples of sound design that further illustrate these facets of UX design.
Optimization and Security Implementation of ITUbee

ITUbee is the lightweight encryption algorithm that was proposed by the second International Symposium on lightweight encryption security and privacy in 2013. It is based on the Feistel network. We optimized S-box, round function and round constant addition. The optimized round constant is the variable which is converted from the related round number i. There is no need to allocate area resource for it. The experimental results show that the throughput of the optimized ITUbee algorithm reaches 364.695 Mb/s. The area is reduced to 10650 Slices. We studied and implemented the masking ITUbee algorithm to resist power analysis attack. The implemented performance is also compared. The area of the masking ITUbee is increased by about 4%. The clock frequency is raised from 100.291 MHz to 102.396 MHz, throughput is increased from 364.695 Mb/s to 372.349 Mb/s.
Research Guides: ENG 316: Search Techniques

Advanced research techniques for students in English 316 An overview of some advanced research techniques.
The use of cloud technologies while teaching future speech therapists (on the example of special «mathematics teaching technique» discipline)

The article is devoted to the features of using cloud technologies in training future speech therapists. The subject of the analysis is cloud services. The purpose of the article is to reveal cloud technologies allowing to increase the effectiveness of training on the example of the discipline «Special methods of teaching mathematics». The research is based on experimental and theoretical methods. The tasks based on cloud technologies in the field of methods of teaching mathematics are offered. The results of the study can be used by teachers of higher educational institutions for organization of academic activity.
A Methodology for Defining Smart Camera Surveillance Locations in Urban Settings

In this paper we propose a methodology to solve the problem of locating a set of cameras in an uncontrolled open space, such as a city. For this purpose, the geometric approach of the problem is transformed towards the optimization of a surveillance service system in which a metaheuristic model is used to maximize the service capabilities of the set of cameras.
SolomonLab at SemEval-2019 Task 8: Question Factuality and Answer Veracity Prediction in Community Forums

We describe our system for SemEval-2019, Task 8 on "Fact-Checking in Community Question Answering Forums (cQA)".cQA forums are very prevalent nowadays, as they provide an effective means for communities to share knowledge.Unfortunately, this shared information is not always factual and factverified.In this task, we aim to identify factual questions posted on cQA and verify the veracity of answers to these questions.Our approach relies on data augmentation and aggregates cues from several dimensions such as semantics, linguistics, syntax, writing style and evidence obtained from trusted external sources.In subtask A, our submission is ranked 3rd, with an accuracy of 83.14%.Our current best solution stands 1st on the leaderboard with 88% accuracy.In subtask B, our present solution is ranked 2nd, with 58.33% MAP score.
Comparative Study of The Difficulty Index of Items Displayed with The Paper-Based Test and The Computer-Based Testing Paper

Abstract The focus of this study is to analyze whether there are differences in the difficulty index of items if the same items are displayed with the Paper Based Test (PBT) model and the Computer-Based Testing (CBT) model. The PBT and CBT models have the same paradigm of measuring estimated abilities but have differences in the context and feel aspects. These differences include the number of items in the range of eyesight, use of tools, how to work on items, basic knowledge needs about computer operations, and habit factors. These differences can affect the results of estimating the ability of test participants. This study uses development methods and quantitative methods. Development methods are used to develop package items and CBT software. Two groups of respondents were used with equal ability to work on the same question package. One group uses the PBT model, and the other group uses CBT so that the response choices are obtained in each test model. The results of the respondent’s answer choices were then analyzed by the ITEMAN software to get the item difficulty index. The item difficulty index of each model was tested statistically using SPSS software, whether there was a significant average difference between the two test models. From the results of the study and analysis in classical theory, it can be concluded that statistically there are differences in the average difficulty index of the items if the same item is displayed with the PBT and CBT models. It was found that the items displayed with the PBT model had a more difficult tendency than when displayed with the CBT model.
Research Guides: Research Impact Challenge: Day 3: Preserve and Share your work with a Digital Repository

This guide contains 10 activities for researchers to better understand and manage their online scholarly presence, as well as the impact and reach of their research.
Formulating a ‘cinematic listener’ for John Zorn’s file card compositions

In a 1995 interview, contemporary American composer John Zorn stated: ‘I got involved in music because of film […] There’s a lot of film elements in my music’ (Duckworth, 1995, p. 451). Scholars and critics have since widely noted these cinematic elements, with emphasis being placed on Zorn’s genre of so-called ‘file card compositions’. Whilst these studies have primarily concentrated on how the arrangement of sound blocks – the disjointed segments of Zorn’s compositions – can be compared to cinematic montage, this article instead focusses on how sound blocks suggest the visual aspects of cinema.To delve deeper into the visuo-cinematic qualities of Zorn’s file card compositions, an idealised cinematic listener will be constructed, aided by various psychological, semiotic, philosophical and film theories. I will suggest that a listener occupying a hypnogogic state projects moving images, akin to those of cinema, onto what Bernard Lewin first called a ‘dream screen’. These projections occur due to intertextual associations made between file card compositions and the artistic figures to whom they are dedicated. These images combine with the sounds that brought them into being to form an audio-visual diegesis, which can be considered a type of half-imagined film. The cinematic listener then actively draws out of this diegesis a narrative, via the semi-conscious process Boris Eikhenbaum called ‘inner speech’. I will conclude by giving some broader justification for the methodology that brought this cinematic listener into being and suggest how the cinematic listener may be further utilised to provide musical analyses for file card works.
Research on Fusion Method of Fault Diagnosis Based on DBN and Correlation Model for Optimized D-S Evidence Theory

With the intelligent development of weaponry, the system integration structure is more and more complicated. Based on the information fusion algorithm of the decision-making layer, the accuracy and speed of weapon equipment fault diagnosis can be greatly improved. The expert system fault diagnosis method and the neural network fault diagnosis method make the information fusion effect more superior. Based on the correlation model and the deep belief network diagnosis model, this paper applies the optimized D-S evidence theory to the information fusion method and expounds its workflow.
Proposal of Redirected Walking Using a Slope Parallel Component of the Slope Gravity

In this research, we aimed to evaluate the effectiveness of a slope board by proposing visual tactile redirected walking using a parallel component of gravity on a slope to realize a new infinite linear walking experience. Specifically, when placing a plate with a diameter of approximately 1.2 m and an inclination of 0°, 5°, and 10° around the column and walking while placing a hand on the cylinder over the plate, the inclination is in a virtual space. Based on the results of the locus of locomotion measured during the experiment and the questionnaire answers of the walking sensation developed in this study, the straight walking sensation and walking balance sense were observed to be highest in the 10° inclination condition.
Comparing terminal sets for evolving CMA-ES mean-update selection

The CMA-ES algorithm searches a fitness landscape by sampling from a multivariate normal distribution and updating its mean by taking a weighted average of the highest fitness candidate solutions. In this work, we explore the possibility of using Genetic Programming to evolve new mean-update selection methods that take into account information other than just raw fitness values. These results show that CMA-ES can be tuned to specific problem classes to achieve better results.
Foreground Detection Scheme Using Patch Based Techniques for Heavily Cluttered Video

Foreground objects can be extracted effectively by subtracting the background in the image frames, provided that an updated model of the background is available at any time. This is achieved by initialization (also called bootstrapping) of the background followed by its maintenance. In this paper, a patch-based technique for robust background initialization has been proposed, that overcomes the sleeping person problem. The proposed technique is able to cope with heavy clutter, i.e, foreground objects that stand still for a considerable portion of time. The method rests on sound principles in all its stages and only few, intelligible parameters are needed. Experimental results shows that the proposed algorithm is effective.
Determining Priorities of Fostering Policies for Regional Publishing Industry Using AHP

지역출판은 지역문화와 지역의 균형발전을 이룰 수 있는 기반이며 출판문화의 다양성 확보는 지역출판산업의 육성 정책은 상당한 의미를 갖는다. 본 연구는 지역출판산업 종사자를 대상으로 AHP 분석을 통해 향후 지역출판산업 육성 정책 방안의 제언을 연구목적으로 하였다. 분석결과, 지역출판산업의 영역 중 육성 정책이 관련법과 제도 등의 ‘환경영역’의 정책이 우선순위를 차지했다. 지역출판인들이 우선적으로 요구하는 정책을 파악함으로써 좀 더 실제적이고 직접적인 효과가 나타날 수 있는 정책이 우선적으로 모색되어야 할 것이다.Since regional publishing is important for achieving balanced development of local and region culture, and for securing diversity of publishing culture, the research on this issue is also important. The purpose of this study was to identify the current status of the regional publishing industry’s ecosystem through the literature review and to determine the priorities of fostering policies for regional publishing industry using AHP. As a result, fostering policies should be promoted firstly in the environmental domain such as laws and systems related to regional publishing, and the fostering policies that can have more practical and direct effects should be sought preferentially.
Remote Sensing and Advanced Encryption Standard Using 256-Bit Key

The most convenient way of data acquisition in recent times is undoubtedly through remote sensing. Remote sensing data has shown substantial growth in terms of pliability, reliability, cost-effectiveness, speed and efficiency. However, the growth is prone to data breaches and attacks. The commonly employed method for data security is encryption and decryption. This paper proposes the secure transmission of remote sensed data by using AES (Rijndael) algorithm with 256-bit key as the underlying encryption algorithm.
Near-Duplication Document Detection Using Weight One Permutation Hashing

As a standard algorithm for efficiently calculating set similarity, Minwise hashing is widely used to detect text similarity. The major drawback associated with Minwise hashing is expensive preprocessing. One permutation hashing (OPH) is proposed in order to reduce the number of random permutations. OPH divides the space Ω evenly into k bins, and selects the smallest nonzero value in each bin to re-index the selected elements. We propose a weight one permutation hashing (WOPH) by dividing the entire space Ω into kSUB1/SUB and kSUB2/SUB bins and sampling kSUB1/SUB and kSUB2/SUB in proportion to form a weighted kw. WOPH has a wider range of precision by expanding the proportion of w1 and wSUB2/SUB to different accuracy levels of the user. The variance of WOPH can be rapidly decreased first and then slowly decreased, although the final variance is the same as OPH with the same k. We combined the dynamic double filter with WOPH to reduce the calculation time by eliminating unnecessary comparison in advance. For example, for a large number of real data with low similarity accompanied by high threshold queries, the filter reduces the comparison of WOPH by 85%.
Geoinformation Support of Increase of Efficiency of Soil Cleaning from Petroleum Pollution

Summary The paper discuss geophysical possibilities of increase of geoinformation support monitoring the petroleum contamination inside and nearby of large working industrial enterprises for effective clearing of soil and ground waters. It&apos;s CLEANSOIL – new very simple and cost-efficient modern technology to enable in-situ treatment of ecologically dangerous hydrocarbons in soil, especially targeted for large polluted areas of working industrial enterprises with minimum site (and technological process) disturbance. The monitoring with detailed 3D modeling of the polluted sites is necessary for effective application of CLEANSOIL. It is possible at use of the modern technology of electro-tomography, which essentially raises accuracy and speed of geophysical possibilities of monitoring of soil and ground water pollution both in horizontal and in vertical directions. If only classical vertical electrical sounding is possible (because of conditions of the working industrial enterprise) the author&apos;s algorithm of recalculation of the data for electro-tomography is offered
An Integrated Framework to Examine Mobile Users' Pathway from Threat Cognition to Action

The upsurge in usage of mobile devices together with significant growth in security threats has led to pervasive harm both in organizational and personal levels. The perilous rise in security threats is mostly due to a huge amount of sensitive information stored and transmitted on digital devices and intensified by inadequate security practices. The Protection of information assets is often contingent on the behavior and activities of the users leading to the establishment of a subfield of information security known as behavioral information security (InfoSec). This study presents an all-encompassing yet pragmatic view of mobile user's security-related behavior while attempting to respond to scholars' critiques regarding the incompleteness of extant behavioral InfoSec research. A careful review of prospects to enhance the previous approaches lead to an integrated model featuring interrelated deliberations. Interesting and strong results of our integrated model should validate the efficacy of the hypotheses and add value to the research stream in the field of behavioral InfoSec.
일본 근현대 재가불교운동의 특징과 전망

This thesis analyzes the characteristic Japanese Lay Buddhist Movement in modern times and propose the direction of Lay Buddhist Religious body. Especially, I will examine the formation, development and the asceticism system of T’ien-t’ai Religious body(天台系敎團) and Shingon Religious body(眞言系敎團) which have been formed in Korea, and show the possibility of development of the Lay Buddhist Religious body In the modern society. The Japanese Buddhist movement took place with the modernization of Japan. In order to solve the social alienation and economic problems caused by the rapid modernization, Lay Buddhist Movement is occurred because Buddhist Order could not suggest any solution. Japanese Lay Buddhist Religious body can be divided by T’ien-t’ai and Shingonsyu(眞言宗). Representative T’ien-t’ai Religious body is Honmonbuturyusyu(本門佛立宗), Kokucyukai(國柱 會), Reiyukai(靈友會), Ritsyoukosekai(立正佼成會), Sokagakkai(創價學 會). They are all based on Nichirennsyu(日蓮宗), and interested in education and economic issues in order to solve the social problems caused by modernization. Especially Sokagakkai is directly participated in real politics. Shinnyoen(眞如苑) is Shingon Religious body, that based on service and practice, and has many social activities in social issues, environmental problems, and cultural aspects. Based on Buddhist thought, referring to the activities of Buddhist denominations in Japan, I have proposed five ways to participate in the social movement in the human rights field, to expand economic and environmental protection groups, to organize social services and social work, to invest in overall cultural activities, and to encourage political participation as religious methodology to solve social problems and a methodology. This is a solution to social problems that can be done because they are Lay Buddhist, and It can serve as a link between future generations and current generations. And based on the Buddhist ideology, Lay Buddhist and Religious body should be revitalized to develop social movements for the well-being and development of the Lay Buddhist living in social life.
A Combined Architecture Based on Artificial Neural Network to Recognize Kannada Vowel Modifiers

The document image analysis for Indian scripts such as Kannada poses many challenges due to particular characteristics of the script. The Kannada script has huge set of characters consists of vowels, consonants, consonant conjuncts. The character set also includes compound characters which are formed using the basic symbols. A typical procedure to perform Kannada character recognition is to segment words and characters from the document then carry out recognition. But Kannada has the larger character set, and such an approach will have many classes to recognize. Another method is to segment the character into basic symbols and then perform recognition of the basic symbols. The glyph corresponding to a Kannada character has mainly two parts: consonant and vowel modifiers. This paper, a combined architecture is proposed to perform recognition of Kannada vowel modifiers. Gabor filters are employed to carry out precise segmentation of character into basic symbols. A combined architecture using K-Mean clustering and Artificial Neural Network is developed to recognize segmented vowel modifiers. The 10-fold cross validation is performed and an overall recognition rate of 95.04% is observed.
Humanoid Robot Control Based on Deep Learning

The direct control of humanoid robot by human motion is an important aspect of current research. Most of these methods are based on additional equipments, such as Kinect, which are usually not equipped on robot. In order to avoid using these external equipments, we explored a robot controlling method only using the low-resolution camera on robot. Firstly, a stacked hourglass network is employed to obtain the accurate 2D heatmap containing positions of human joints from RGB image captured by camera on robot. Then, 3D human poses including coordinates of human body joints are estimated from 2D heatmaps by a method aiming to reconstruct 3D human poses from 2D poses. Finally, the rotation angles of robot are computed according to these 3D coordinates and are transmitted to the robot to reconstruct the original human pose. Using the NAO robot as an example, the experimental results show that the humanoid robot can imitate motions of different human actors in different scenes well while applying our method.
Research Data Management (RDM) with Digital Library Services (DLS): an introduction

A presentation given as part of a UCT eResearch seminar series for Health Sciences / Pathology.
Designing a Level of Modern Chinese Preposition Items for Korean Learners

This research attempts to screen and classify prepositions of Modern Chinese by each level only for Korean Chinese learners. To look into which preposition items are presented by each level, I examined two chinese text books which were published in Korea and China separatedly. However there were huge difference between the lexical items that two text book presented. I also examined grammatical outlines which were suggested from Korea and China. Through examining two kinds of materials, I screened the Chinese prepositions only for Korean learners. Moreover, On the basis of the ‘Difficulty-scale rating’, I designed modern Chinese prepositions for Korean Chinese learners by each level. I found out some preposition lexical items, due to their structure characters and the frequency of use, should be readjusted, so I analyzed the inner structure of these prepositions. As a result of my analyses, I classified the Modern chinese prepositions into three levels: basic, intermediate, advanced. Out of 44 preposition items, I designed 18 prepositions at a basic level, 21 at an intermediate and 5 at an advanced level.
Stixel-based Traffic Scene Representation Using U-disparity

Abstract The Stixel World is a valid approach of interpreting 3D traffic scenes. This paper presents a novel and simple method to establish the Stixel World by exploiting the properties of U-disparity. Unlike the conventional stixel extraction method, the proposed method does not model the ground plane, but construct a U-disparity map and accordingly remove ground-related points and background-related points in virtue of U-disparity properties. The resulting U-disparity map is re-projected back to the disparity map so that the base and top-points of foreground obstacles can be determined. Experiments show that the proposed method can effectively build a Stixel World for a variety of scenarios and is not constrained by topography and object classes.
Using Convolutional Neural Networks for Emoticon Classification

The problem of automatic classification of photographs, graphics and spatial data is increasingly being addressed via advanced machine learning methods and related models like Convolutional Artificial Neural Networks (CANN). In the scope of this work, we conducted a study of application of the CANN to an example of emoticon classification. In this paper, chosen methods are described as well as solutions for data collection and processing. Methods for training and evaluation of the model are offered. The presented results show successful application of the model.