Reviewerly/exHarmony huggingface dataset:
Review of User experience in libraries: Applying ethnography and human-centered design

Abstract Review of Priestner, A., & Borg, M. (Eds.). (2016). User experience in libraries: Applying ethnography and human-centered design. New York, NY: Routledge, Taylor & Francis Group.
New method to describe the differential distribution table for large S‐boxes in MILP and its application

Based on the method of the H-representation of the convex hull, the linear inequalities of all possible differential patterns of 4-bit S-boxes in the mix integer linear programming (MILP) model can be generated easily by the SAGE software. Whereas this method cannot be apply to 8-bit S-boxes. In this study, the authors propose a new method to obtain the inequalities for large S-boxes with the coefficients belonging to integer. The relationship between the coefficients of the inequalities and the corresponding excluded impossible differential patterns is obtained. As a result, the number of inequalities can be lower than 4000 for the AES S-box. Then, the new method for finding the best probability of the differential characteristics of 4–15 rounds SM4 in the single-key setting is presented. Especially, the authors found that the 15-round SM4 exists four differential characteristics with 12 active S-boxes. The exact lower bound of the number of differentially active S-boxes of the 16-round SM4 is 15. The authors also found eight differential characteristics of the 19-round SM4 with the probability .
Implementation of Robotic System Using Speech Recognition Technique based on Neuro-Fuzzy Controller

Recently, voice becomes one of the methods commonly used to control the electronic appliances, because of easily being reproduced by human compared to other efforts needed to operate to control some other appliances.There are many places which are hard or dangerous to approach by human and there are many people with disabilities do not have the dexterity necessary to control a keypad or a joystick on electrical devices.The aim of this study is to build a mobile robotic system, which can be controlled by analyzing the human voice commands.The robot will identify the voice commands and take action based on received signal.In general, the robotic system consists of the voice recognition module (AD-VR3) which serves as the ear that will listen and interpret the voice command, while the Arduino serve as the brain of the system that will process and coordinate the correct output of the input command to control the robot motors to perform the action.
Penyegaran Tentang Metode Penelitian Ilmiah Untuk Widyaiswara

Producing a scientific article is one of the requirements that must be met by the Widyaiswara (civil servants who are responsible for doing education and training for other civil servas) to be able achieve higher level of rank and positions. This paper is intended to motivate the Widyaiswara in conducting scientific research. This article briefly discusses about the relevance of knowledge and research, the research processes, the hypothetical example of scientific research and scientific research ethics.
PELATIHAN PENGELOLAAN MATERI PEMBELAJARAN DENGAN E-LEARNING BAGI SEKOLAH MUHAMMADIYAH KECAMATAN MOYUDAN KABUPATEN SLEMAN

The schools in Mayodan sub-district have not used information technology with maximum to support learning and education activity. They need assistance in community service to train them to organize learning media using eLearning. The methods of implementing the training are tutorial or assistance, giving a module to participants, workshop and evaluation process. The impact of this training is improvement knowledge in information technology uses. This impact can show from training result. The result showed 74% participants agree and like with this training results.
Analysis on the Opinions of Employees Working in Provincial Directorates of Youth and Sports Regarding Six Sigma Management Model

The purpose of this study is to evaluate the opinions of those working in Provincial Directorates of Youth and Sports -serving as the field service within the body of General Directorate of Sports affiliated to the Ministry of Youth and Sports in Turkey -regarding the applicability of Six Sigma management model by some variables."Descriptive Survey Model" was used in this research.The research population is composed of the employees working in Provincial Directorates of Youth and Sports in Turkey and the sample is composed of randomly selected 210 employees among those actively working in these directorates.A questionnaire was applied in obtaining the research data.It has been determined in the research that the opinions of the participants on the applicability of Six Sigma management model are positive, a quality management model isn't applied in provincial directorates, quality education isn't addressed sufficiently and there isn't any quality department or the personnel recruited in this department.In conclusion, it has been established that employee opinions on the applicability of Six Sigma management model in Provincial Directorates of Youth and Sports are positive and they constitute a basis for the applicability of Six Sigma management model when the research results are addressed by taking into account the fact that ensuring the leadership and support of top management in addition to the principles of Six sigma management model, such as Customer orientation, Tolerance for failure, Process-oriented Management and Continuous Development.Active Participation of Everyone and Tolerance for Failure are two of the highly important steps of "Six Sigma" applications.
The Joys of Hashing

This book is an introduction to the hash table data structure. When implemented and used appropriately, hash tables are exceptionally efficient data structures for representing sets and lookup tables. They provide constant time, low overhead, insertion, deletion, and lookup. The book assumes the reader is familiar with programming and the C programming language. For the theoretical parts of the book, it also assumes some familiarity with probability theory and algorithmic theory.
Research and Simulation of UAV Security Strategy Based on A*BC Algorithm

With the rapid development of UAV technology and the popularization of UAV, UAV has begun to be widely used in various fields, but in view of the dense and complex flight environment, the security problems are constantly emerging. Based on the security problems in UAV flight, this paper proposes an A*BC algorithm for its route planning. The artificial bee colony algorithm is used to improve the A* algorithm. Combined with the advantages of the two algorithms, the UAV can quickly reach the target point while avoiding obstacles.
Music, Design and Ethnography: An Interview with Steve Benford

Steve Benford is Professor of Collaborative Computing at the Mixed Reality Laboratory at the University of Nottingham. His research interests span creative and cultural applications of computing, from interactive art to mainstream entertainment, with a particular focus on new interaction techniques. He has over twenty years experience of collaborating with artists to create, tour and study interactive performances. Steve’s research has fuelled the emergence of new cultural forms such as pervasive games and mixed reality performance, while also delivering foundational principles for user experience design, most notably his work on trajectories, uncomfortable interactions, spectator interfaces and most recently the hybrid craft of making of physical-digital artefacts. He has previously held an EPSRC Dream Fellowship (2011–2014), a Visiting Professor at the BBC in 2012 and a Visiting Researcher at Microsoft Research in 2013.
A new evaluation framework for topic modeling algorithms based on synthetic corpora

Topic models are in widespread use in natural language processing and beyond. Here, we propose a new framework for the evaluation of topic modeling algorithms based on synthetic corpora containing an unambiguously defined ground truth topic structure. The major innovation of our approach is the ability to quantify the agreement between the planted and inferred topic structures by comparing the assigned topic labels at the level of the tokens. In experiments, our approach yields novel insights about the relative strengths of topic models as corpus characteristics vary, and the first evidence of an ``undetectable phase'' for topic models when the planted structure is weak. We also establish the practical relevance of the insights gained for synthetic corpora by predicting the performance of topic modeling algorithms in classification tasks in real-world corpora.
The album "Russian drawings of China" from the collection of the Krasnoyarsk bibliophile G.V. Yudin (Library of Congress): experience of source analysis

Л.В.Белгородская, Н.И
An Argument-Marker Model for Syntax-Agnostic Proto-Role Labeling

Semantic proto-role labeling (SPRL) is an alternative to semantic role labeling (SRL) that moves beyond a categorical definition of roles, following Dowty’s feature-based view of proto-roles. This theory determines agenthood vs. patienthood based on a participant’s instantiation of more or less typical agent vs. patient properties, such as, for example, volition in an event. To perform SPRL, we develop an ensemble of hierarchical models with self-attention and concurrently learned predicate-argument markers. Our method is competitive with the state-of-the art, overall outperforming previous work in two formulations of the task (multi-label and multi-variate Likert scale pre- diction). In contrast to previous work, our results do not depend on gold argument heads derived from supplementary gold tree banks.
Maximum Likelihood Method in de Finetti's Theorem

De Finetti's theorem states that the elements of an infinite exchangeable sequence of random variables are conditionally independent and identically distributed relative to some random variable (or a sigma-algebra generated by that random variable). In this work, we construct this random variable using the maximum likelihood method.
Professional Identity Formation Process of a Dance Teacher

In the modern society the concept of professional identity is topical in many different occupations.The professional identity of the dance teacher has not been researched scientifically and there are no studies about this concept.The article focuses on the formation process of the dance teacher's professional identity as well as the professional identity model.The aim of this article is to view the professional identity formation process in a profession of a dance teacher and to create a professional identity model of the dance teacher by analysing scientific literature and using professional experience.The professional activity of the dance teacher directly affects the students in any age group from toddlers to seniors, both physically and psychologically; therefore, it is especially important to pay attention to the issues of dance teacher's professional identity, or even the lack of information about the professional identity itself.If the questions of professional identity are not discussed in the study process and there are no related instructions or materials that reveal the essence of the professional identity concept in the world of dance, then the knowledge gained in higher education and practice can be interpreted as unnecessary for the profession.As a result of this study there is formed a professional identity model of a dance teacher.Explaining professional identity leads to greater insight into one's profession, as well as quality assessment of one's professional work and achievements.
Service Oriented Computing and Smart University

Digitization is a catalyst for transforming a traditional university that is primarily based on human intelligence and that implements good human-human learning practices, towards an intelligence university that uses artificial intelligence and which integrates intelligent learning platforms. Admittedly, the traditional university boasts of human intelligence that has served many learning techniques for many years. However, the content and the organization of higher education should change with the evolution of society and communications technologies, this need has emerged a smart system that conform to the referential smart city system, in terms of infrastructure, interactions, reasoning and visualization. The importance of service oriented computing (SOC) is reflected in the flexible integration of contextual data collection, anticipation, prediction and recommendation services, into a university system to make it intelligent and proactive, through the reuse, the composition and the context awareness of the services.
Satellite Image Enhancement and Analysis

Geographic Information System (GIS) stores large volumes of spectral data (raw facts) acquired by sensors located at the satellite and convert them into features and information in order to provide answers to many questions and for easy retrieval and display based on the user needs. The conversion of data to information involves a lot of processing. The preprocessing, especially, is required for the following reasons: This chapter describes various image enhancement methods, noise removal methods, image stitching and interpolation methods, segmentation, multivariate image processing techniques, and other image transformations.
T-Abso and T-Abso Quasi Primary Fuzzy Submodules

Let á¸¾ be a unitary R-module and R is a commutative ring with identity. Our aim in this paper to study the concepts T-ABSO fuzzy ideals, T-ABSO fuzzy submodules and T-ABSO quasi primary fuzzy submodules, also we discuss these concepts in the class of multiplication fuzzy modules and relationships between these concepts. Many new basic properties and characterizations on these concepts are given.&#x0D;
Efficient distance transformation for path-based metrics

In many applications, separable algorithms have demonstrated their efficiency to perform high performance volumetric processing of shape, such as distance transformation or medial axis extraction. In the literature, several authors have discussed about conditions on the metric to be considered in a separable approach. In this article, we present generic separable algorithms to efficiently compute Voronoi maps and distance transformations for a large class of metrics. Focusing on path-based norms (chamfer masks, neighborhood sequences), we propose efficient algorithms to compute such volumetric transformation in dimension n. We describe a new O(n⋅Nn⋅logN⋅(n+logf)) algorithm for shapes in a Nn domain for chamfer norms with a rational ball of f facets (compared to O(f⌊n2⌋⋅Nn) with previous approaches). Last we further investigate a more elaborate algorithm with the same worst-case complexity, but reaching a complexity of O(n⋅Nn⋅logf⋅(n+logf)) experimentally, under assumption of regularity distribution of the mask vectors.
A Novel Progressive Gaussian Approximate Filter with Variable Step Size Based on a Variational Bayesian Approach

The selection of step sizes in the progressive Gaussian approximate filter (PGAF) is important, and it is difficult to select optimal values in practical applications. Furthermore, in the PGAF, significant integral approximation errors are generated by the repeated approximate calculations of the Gaussian weighted integrals, which results in an inaccurate measurement noise covariance matrix (MNCM). To solve these problems, in this paper, the step sizes and the MNCM are jointly estimated based on the variational Bayesian (VB) approach. By incorporating the adaptive estimates of step sizes and the MNCM into the PGAF framework, a novel PGAF with variable step size is proposed. Simulation results illustrate that the proposed filter has higher estimation accuracy than existing state-of-the-art nonlinear Gaussian approximate filters.
Field Robot and Sensing System

Japan's population is decreasing after a peak in 2008 due to aging of the population and declining birthrates.Such shrinking population will be having a major impact to build a sustainable economy and society over a long-term period, but almost all people feel that the effects for a short term are small and negligible.Japan's economy and society will require more development in technologies such as artificial intelligence and robots to make up for a decline in the labor force.However, the decline of the labor force already invites the labor shortages in the industries.Therefore, the Japanese government aims to introduce a new residence status that the foreign workers are accepted in the 14 business sectors which are restaurants, hotels, nursing care, building cleaning, agriculture, fishery, food and beverage, materials processing, industrial machinery, electronics and electric machinery, construction, shipbuilding, vehicle maintenance, and airport ground handling and aircraft maintenance.
Optimized Data Organization of Land Cover Survey Based on Redis Memory Database

Land cover change survey plays an important role in the sustainable development of the national economy. In view of the increasing amount of land change survey data, the service response time increases. At the same time, the size of data cannot satisfy scale of distributed GIS. According to the characteristics of the land change survey data, this paper studies the change survey data storage strategy based on Redis memory database, and puts forward a traditional server framework, use Redis as a buffer layer of the back-end service framework, and validated it. The results show that the data organization strategy based on Redis significantly improve the response speed of the back-end service, and has better ability to deal with concurrency, the use of a certain significance in the land change survey. Compared with several memory substitution strategies, LRU (Least Recently Used) can make the cache layer have higher cache hit ratio.
Privacy Aware Monitoring of Mobile Users in Sensor Networks Environment

&lt;p&gt;&lt;strong&gt;Abstract—&lt;/strong&gt;Due to complex monitoring systems in various business domains, secrecy and privacy has become critical issue for movable resources including human being. In a mobile object monitoring systems, balancing computing resources and quality of privacy is required. Objects can be mobile devices or users or any other moving entity. This work is presented in wireless sensor network environment. Earlier work does not consider presence of mobile objects in 3D space. We can observe that objects also carry Z axis in city area where high rise buildings are present. Earlier monitoring applications are mainly designed in two dimensional space to protect privacy. Our novelty is to suggest and design mechanism that reflect Z position (height) of mobile objects for protecting privacy. While calculating cloaking area and counting of objects, height is also considered as third dimension. This results in better location privacy as compared to the privacy delivered by the scheme that considers two dimensional space. We have presented performance, communications cost and privacy strength of modified 3D quality algorithm and 3D resource algorithm. Moreover, we present novel containment resolution algorithm that handles duplicate counting due to 3D presence of wireless system and mobile devices.&lt;/p&gt;
Development of Patent Information-based Indexes for Product Innovativeness Analysis

Analyzing the innovation level of a product is important in that it enables identification of the product"s promise and analysis of product development stage. Although there are existing studies to measure the innovation of the technology using various patent indicators, attempts to quantify the innovation level from the product point of view have been insufficient and have mainly relied on the qualitative evaluation of experts. In this study, we use product name and product-patent relation databases to define the product innovation as a combination of quantitative and qualitative progress of the analyzed product, analyze the innovation pattern of the product, and develop an index for product innovativeness analysis. As a result of analyzing 100 sample products, it was found that spiral development patterns appeared over time in the products with a certain number of related patents. This study can be used to determine the direction of future development of the products of interest by measuring their innovativeness with the proposed index.
Mineralogy Recognition from In-Situ Elemental Concentration Log Data Using Factor Analysis

Understanding log response in crystalline rocks is one of the major challenges encountered by geoscientists in general, and well-log analysts in particular. Owing to the persistence of metamorphism process, log interpretation in crystalline rocks appears to be a challenging task. In this context, the present study is focused on reporting the results drawn from the interpretation of elemental concentration log data. For an effective elemental concentration interpretation to take place, an appeal is made to the factor analysis method. Hence, constructing a model whereby elemental concentrations could be associated with mineral abundances is investigated and discussed. The reached results appear to reveal that the elemental concentration logs turn out to provide enough information useful for an accurate lithological description of crystalline rocks to take place, especially with regard to UHPM rocks.
Dimensionality-Reduction Algorithms for Progressive Visual Analytics

Visual analysis of high dimensional data is a challenging process. Direct visualizations work well for a few dimensions but do not scale to the hundreds or thousands of dimensions that have become increasingly common in current data analytics problems. Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces, and it has been proven as an effective tool for high dimensional data analysis. In visual analytics systems, several visualizations are jointly analyzed in order to discover patterns in the data. One of the fundamental tools that has been integrated in visual analytics, is nonlinear dimensionality-reduction; a tool for the indirect visualization aimed at the discovery and analysis of non-linear patterns in the high-dimensional data. However, the computational complexity of non-linear dimensionality-reduction techniques does not allow direct employment in interactive systems. This limitation makes the analytic process a time-consuming task that can take hours, days or even weeks to be performed. In this thesis, we present novel algorithmic solutions that enable integration of non-linear dimensionality-reduction techniques in visual analytics systems. Our proposed algorithms are, not only much faster than existing solutions, but provide richer insights into the data at hand. This result, is achieved by introducing new data processing and optimization techniques and by embracing the recently introduced concept of Progressive Visual Analytics; a computational paradigm that enables the interactivity of complex analytics techniques by means of visualization as well as interaction with intermediate results. Moreover, we present several applications that are designed to provide unprecedented analytical capabilities in several domains. These applications are powered by the algorithms introduced in this dissertation and led to several discoveries in areas ranging from the biomedical research field, to social-network data analysis and machine-learning models interpretability.