Reviewerly/exHarmony huggingface dataset:
Survey on the usage of public cloud services with copyrighted contents

As the importance of public cloud services for sharing various files including copyrighted contents increases, a poll was organized among Czech university students focusing on their usage of such services so that to reveal their habit in usage of such services. The results from more than 750 respondents showed that there are certain typical usage patterns. The most significant conclusions showed that female usage of interactive cloud services differ, e.g. in more frequent usage of Uloz.to and Facebook and less frequent usage of LinkedIn.As the importance of public cloud services for sharing various files including copyrighted contents increases, a poll was organized among Czech university students focusing on their usage of such services so that to reveal their habit in usage of such services. The results from more than 750 respondents showed that there are certain typical usage patterns. The most significant conclusions showed that female usage of interactive cloud services differ, e.g. in more frequent usage of Uloz.to and Facebook and less frequent usage of LinkedIn.
Robust weighted least-squares phase-unwrapping algorithm

Phase unwrapping is one of the key steps of optical interferogram analysis.However,implementing phase-unwrapping algorithm(PUA) can be challenging,and the accuracy may be low when it is used to handle fringe patterns containing complicated singularities, such as noise, shadow, shears and surface discontinuity. When weighted least-squares unwrapping approach is adopted to unwrap the phase,the weighting coefficients are designed and defined to distinguish the singularities regions and normal regions in wrapped phase patterns.The weighting coefficients corresponding to the singularities are given zero-weighted, the singularities will not affect the unwrapping.But weighted least-squares unwrapping approach has the smooth effect on the final phase map.In view of this problem, a Robust Weighted leastsquares phase-unwrapping algorithm is proposed in this paper, which is based on combining the phase correction operation and weighted least-squares(WLS) method.In our method, Two partial derivatives of the wrapped phase are obtained from the fringe patterns. The phase singularities are determined using reliability, and the weighting coefficient is obtained from the binary mask from the reliability mask generated by thresholding method. The Weighted leastsquares phase-unwrapping was solved using the preconditioned conjugate gradient (PCG) method,The result of WLS is used to estimate the fringe order directly.The spatial phase unwrapping algorithm is applied to correct the phase with residual wraps by. Experiments are conducted to prove the validity of the proposed method. Results are analyzed and compared with the other least-squares methods, The experimental results demonstrate that the performance of proposed method.
DELETRIOUS SOFTWARE AND METHODS FOR COMBATING IT

The article discusses existing malware. To study the features of building deletrious software, the most common computer viruses were analyzed. A program for capturing keystrokes by means of the Python 3.7 language was developed, and a function for sending captured data to mail was implemented.
Unified approach to various quantum Rabi models with arbitrary parameters*

A general approach is proposed to the quantum Rabi model and its several variants within the extended coherent states. The solutions to all these models including the anisotropy and the nonlinear Stark coupling are then obtained in an unified way. The essential characteristics such as the possible first-order phase transition can be detected analytically. This approach can be easily applied to the recent experiments with various tunable parameters without much additional effort, so it should be very helpful to the analysis of the experimental data.
ProtoKEW: A knowledge-based system for knowledge acquisition

The acquisition of knowledge remains the critical phase of expert system development. Illustrative of the first class of support tools is the SALT system which has built-in knowledge of the problem solving strategies used when configuring electro-mechanical devices. Knowledge engineering workbench would implement a range of elicitation techniques, incorporate machine learning methods, be applicable across domains, and embody a principled or knowledgeable approach to the entire acquisition process. Interpretation models are knowledge constructs at the inference layer–they indicate how components of expertise are organised and used in problem solving. Knowledge about the knowledge acquisition tools themselves constitute a third type of knowledge to be used in any knowledge-based system for knowledge acquisition. The directive model contains knowledge which can be used to inform acquisition. In laddering the expert and the knowledge engineer construct a graphical representation of domain knowledge in terms of the relations between knowledge elements.
Predicting syntactic equivalence between source and target sentences

The translation difficulty of a text is influenced by many different factors. Some of these are specific to the source text and related to readability while others more directly involve translation and the relation between the source and the target text. One such factor is syntactic equivalence, which can be calculated on the basis of a source sentence and its translation. When the expected syntactic form of the target sentence is dissimilar to its source, translating said source sentence proves more difficult for a translator. The degree of syntactic equivalence between a word-aligned source and target sentence can be derived from the crossing alignment links, averaged by the number of alignments, either at word or at sequence level. However, when predicting the translatability of a source sentence, its translation is not available. Therefore, we train machine learning systems on a parallel English-Dutch corpus to predict the expected syntactic equivalence of an English source sentence without having access to its Dutch translation. We use traditional machine learning systems (Random Forest Regression and Support Vector Regression) combined with syntactic sentence-level features as well as recurrent neural networks that utilise word embeddings and accurate morpho-syntactic features.
Opinion Knowledge Injection Network for Aspect Extraction

Aspect term extraction (ATE) is to extract explicit aspect expressions from online reviews. This paper focused on the supervised extraction of aspect term. Previous models for ATE either ignored the opinion information or improperly utilized the opinion information with a high-coupling method. We proposed a model to perform ATE with the assistance of opinion knowledge, called opinion knowledge injection network. Specifically, the proposed model distills the opinion knowledge through the attention mechanism and joins it into each word to assist aspect extraction. The proposed model achieved surprisingly good results, improving 1.34% and 1.23% than the best results before respectively on the laptop and restaurant datasets, and reached state-of-the-art.
KANETSUKI-VR system using reversal mechanism of impulsive force

Bell ringing on New Year’s Eve (Joya no Kane) has long been a traditional event in Japan. Recently however, “Joya no Kane” has often been cancelled due to the noise problem. To inherit this traditional event, we built a system called “KANETSUKI-VR.” The system provides the experience of bell ringing by visual, auditory, and haptic sensations. Important aspects in the experience of bell ringing include massive feeling of the wooden bell hammer and the impulsive force when the hammer hits the bell. We achieved these sensations by accumulating the kinetic momentum using flywheels and implementing a mechanism to reverse the direction of motion instantaneously. We used multiple electromagnetic clutch in our reversal mechanism.
Evolution Strategy using reward value con dence and KL divergence between parameter distributions

In reinforcement learning, policy is often updated by gradient descent. Recent studies claim that the estimate of gradient has a large variance. The method called Evolution Strategy (ES) is expected to be an alternative to reinforcement learning, because it optimizes parameters of policy without estimating the gradient. In this paper, we propose a new ES using reward value con dence and KL divergence between parameter distributions. The reward value con dence is introduced to improve e cacy of ES, and the KL divergence between parameter distributions is designed to solve stagnation of learning. The proposed method is implemented on two simulated control tasks. We compare the proposed method with vanilla-ES using a normal distribution to evaluate learning e cacy.
A Study of the Current Status and Future Directions of Korean Popular Culture Education in Korean Textbooks

본고에서는 한국어 교재를 분석하여 국내 대중문화 교육의 현황을 파악하고 향 후 대중문화 교육이 나아갈 방향성을 귀납적으로 검토하고자 하였다. 이를 위해 네 개 대학의 한국어 교육 교재를 선정하여 대중문화 교육 내용을 분석하였고, 다음과 같은 결과를 발견할 수 있었다. 첫째로, 문화 항목으로 제시된 대중문화 내용은 극히 일부에 불과하다. 둘째, 문화 항목으로 다루어진 대중문화 내용과 방식이 언어 교육을 위한 자료로 활용된 경우보다 미흡하다. 셋째, 대중문화와 관련된 내용은 대체로 중급 이상의 단계에서 제시되기 시작한다. 넷째, 몇 가지의 대중문화 분야가 다른 분야에 비해 더 많이 활용된다. 다섯째, 다양한 실제 콘텐츠의 활용 및 콘텐츠와 학습 활동의 연관성이 유의미할 것이다. 선행 연구와 교재 분석의 결과를 바탕으로 본고에서 제시한 대중문화 교육의 방향성을 정리하면 다음과 같다. 먼저, 대중문화를 교육적으로 다루는 방식에 대한 본격적 연구가 시작되어야 할 것이다. 둘째로, 대중문화를 언어 교육에 종속시키지 않고, 대중문화 자체를 교육 대상으로 삼는 독립된 대중문화 교육 과정이 필요할 것이다. 셋째, 교육 자료로서의 대중문화 콘텐츠를 기준을 가지고 선별해야 할 것이다. 본고에서는 교재 분석을 통해 현행되는 대중문화 교육의 모습을 면밀히 검토하고자 하였다. 향후 계속적인 연구를 통해 바람직한 대중문화 교육의 모습을 찾아가야 할 것이다.The purpose of this study is to analyze Korean language textbooks, to grasp the current status of Korean popular culture education, and to inductively examine future directions for popular culture education. Korean textbooks from four universities were selected to analyze popular culture education contents, with the following results. First, there is a lack of popular culture content presented as cultural education. Second, a lower level of popular culture content and methods is addressed in cultural education, compared to materials used in language education. Third, contents related to popular culture generally begin to be presented at intermediate or higher levels. Fourth, some popular culture fields are employed more than others. Fifth, the relationship between content and learning activities is significant, as well as the use of various actual content. Based on the results of previous studies and textbook analysis, directions for popular culture education presented in this study are as follows. First, a full-fledged study of how to address popular culture in education should begin. Second, an independent popular culture curriculum that targets popular culture itself and does not subordinate it to language education is needed. Third, popular culture content as educational material should be selected based on set criteria. It is necessary to determine the desired form of popular culture education through continuous research in future.
Removal of Erroneous Corresponding Points for Three-Dimensional Measurement of Clouds by Using Stereo Camera

Clouds are often observed in our lives, and the relationship between the human and clouds is deep. For example, measurement of clouds are important to forecast weather and to know the visits of sudden weather changes such as torrential rain. In this paper, we propose a methodology to measure clouds easily. Especially, a simulator to generate clouds in a three-dimensional space is constructed, and a filtering method for extraction of clouds from the measured data by removing erroneous corresponding points is proposed. In an experiment, the proposed method is validated by using the cloud simulator.
Six Braided-Tube Locomotive Device with Endoscope

This paper proposes an image stabilization method for a braided-tube in-pipe locomotive device. A braided-tube device is a simple in-pipe locomotive device with pneumatic power. Its deformation to locomote shakes a view from a camera which is attached at a device tip and a view from the camera. This study synchronizes an image update with a periodical deformation of a device. A synchronized update can acquire images which have the same field of view and succeeds to stabilize acquired images.
Kinematics Analysis for Estimation of Contact Conditions in Teaching

In this research, we aimed to estimate the contact condition between an object and the environment using the information on motion, when a person manipulates an object while making contact with the environment. The shape of the object was assumed to be unknown. We classified the contact conditions according to the restriction of their motion and proposed a method to estimate the contact condition using the information on the position and orientation of the object. In the experiment, we measured the motion of an object for some contact conditions and compared the measured value with the theoretical value calculated by our method. As a result, we verified part of our method.
Tag Based Answer Recommendation System

Stack Overflow has undoubtedly become a big trend among the programmers and researchers. The problems or doubts faced by any programmer are put on this forum making it available to many knowledgeable people and hence giving out possibly correct solutions. This paper focuses on Tag based Answer Recommendation System on Stack Overflow. This model follows Topic Modeling methodology wherein two techniques were attempted, i.e., LSA(Latent semantic analysis) and LDA(Latent Dirichlet Allocation). These methods deal with various User Queries to find out the most similar questions from the database and hence, deliver the most valid answers related to the question as output. The results from both the Topic Modeling techniques were analyzed with the help of Cosine Similarity as metrics and hence, we found out that LDA performed better than LSA, thereby giving better and more accurate results.
Guidelines for TEL Researchers on Discovering and Eliciting Educational Features in Web Resources

The increasing trend of sharing educational resources on the World Wide Web has attracted several contributions from the research community. Since most Technology Enhanced Learning users retrieve resources from the Web for teaching or learning, the Web is recognised as a repository of educational material. A big issue in automatic retrieval of online resources is that the Web is a huge and mostly unorganised space. Hence, there is no guarantee that items retrieved by current search engines are appropriate for educational uses. Automatically identifying Web-content suitable for education is one of the most challenging objectives because it requires extraordinary attention. Studies in Technology Enhanced Learning have proposed several solutions to support the teaching and learning needs of instructors and pupils within an enclosed platform. Other studies offer different techniques for collecting resources from the open Web that have specific characteristics. This work aims to gather findings and results from such studies for establishing a set of guidelines for researchers in education, expecting to improve the development of future proposals in this field.
External Force Estimation Using Recurrent Neural Network for Human-Cooperative Robots

This article proposes an external force estimator, which can detect the net external force applied from the environment in such a case that human touches the robot, discriminating it from the object-manipulating force. For this purpose, an inverse dynamics model based on a recurrent neural network is utilized to calculate the object-manipulating force from the object motion. By using the proposed external force estimator, for example, a compliant motion to the net external force can be achieved to absorb the contact force in collision between human and robot. The validity of the proposed method has been confirmed by experiments in which a robot manipulated an object with 6 degrees of freedom.
Psychological Influence of Visual Field Information on Wheelchair Users

Japan is about to enter a super aging society. The autonomous movement of the elderly is important, and the use of personal mobility vehicles such as wheelchairs is increasing. If the elderly travels through the crowd using a wheelchair like a supermarket, there is a possibility that a wheelchair user may become a psychological burden due to the relationship with surrounding people. In this study, we investigated by using visual field information entering the eyes of a wheelchair user or using skin potential reflection (SPR).
중국어 교과서의 문화 내용 분석 및 문제점에 대한 제안 1: 2015 개정 고등학교 『중국어Ⅰ』 교과서 ‘인사말’을 중심으로

This research paper is the second of its kind among a series of studies of the culture contents presented in eleven high school Chinese Language I textbooks of the 2015 curriculum. The traditional Chinese holiday culture is a fundamental starting point for understanding the material and mental culture of the Chinese because it contains their customs and ideas which go back thousands of years. This research analyzes the Chinese traditional holidays introduced in the textbooks, identifies issues and proposes improvement areas to provide preliminary materials conducive to writing textbooks that meet the achievement criteria and evaluation methods, that is understanding culture, presented by the Ministry of Education (2015).
Development of Violin-playing Robot

We are focusing on violin-playing aimed at establishing communication between human and robots. The ultimate goal of this study is to build a robot that can determine its performance automatically based on the information of musical notes. The violin-playing robot we are developing was previously controlled by one PC equipped with ADC, DAC, and Counter, which make the system to larger. Such system can be replaced by small and inexpensive microcomputers. Thus, we decided to build a new control system using microcomputer. We conducted preliminary experiment to assess the performance of the control system. In addition, we analyzed the relationship between the bow force and sound pressure based on the experimental data, which is necessary for the violin performance design.
Development of rescue robot equipped with hydraulic actuator

This paper shows a search and rescue robot with the hydraulic actuator.The developing robot is composed of the hydraulic driven arm and the center of gravity moving mechanism. When the robot is climbing over the obstacles, the robot uses those functions. The purpose of the research is to evaluate the mobility performance of the developing robot on the simulator (Choreonoid). The virtual fields used in World Robot Summit2018(WRS2018) were built in the simulator, and the mobility performance of the robot is evaluated.
Trajectory Changes Based on Rewards in Double Deep Q-Network for Autonomous Mobile Robot Navigation

We developed an autonomous mobile robot system based on behaviors acquired by deep reinforcement learning. Navigation performances including traveling trajectories are affected by the design of state, action and reward in deep reinforcement learning. This paper focuses on rewards given in training of action policies on the simulator. For example, negative rewards are given to the situations that the robot approaches to obstacles closely. Then, the robot has a tendency to run far from obstacles. In the paper, robot navigation experiments in a real world were performed. Differences of the trajectories according to several rewards are discussed.
Development of an Intelligent Scope of Human Manipulability Sharing Using a Virtual Reality System

This paper presents a new intelligent scope of human manipulability sharing (iSHMS) with a head-mount-type VR system. The new iSHMS is developed using a game-engine (Unity) so that a realistic computer-mannequin can be created in the 3D virtual space. The computer-mannequin is controlled according to the motion data of an iSHMS user which measured by a KINECT sensor in real time, while manipulability ellipse(s) is(are) attached at the hand(s) and/or foot(s) in considerations of human body form during a target task. The preliminary stability test validated that the user-friendly of computer mannequin and the computational stability in human manipulability analysis were improved by the 2nd iSHMS.
GaSPing for Utility

High-consequence decisions often require a detailed investigation of a decision maker's preferences, as represented by a utility function. Inferring a decision maker's utility function through assessments typically involves an elicitation phase where the decision maker responds to a series of elicitation queries, followed by an estimation phase where the state-of-the-art for direct elicitation approaches in practice is to either fit responses to a parametric form or perform linear interpolation. We introduce a Bayesian nonparametric method involving Gaussian stochastic processes for estimating a utility function from direct elicitation responses. Advantages include the flexibility to fit a large class of functions, favorable theoretical properties, and a fully probabilistic view of the decision maker's preference properties including risk attitude. Through extensive simulation experiments as well as two real datasets from management science, we demonstrate that the proposed approach results in better function fitting.
Magnification of vibration response using phase based motion technique

The paper introduces a new approach to magnify vibration responses of an object. In general, the higher the frequency of vibration, the lower the amplitude of displacement, so the response can be loaded by noise. The aim of this paper is to present practical application of the proposed approach in 3D digital image correlation method. This method uses two high speed cameras to measure displacements of the object. The phase-based motion magnification technique is used to magnify motion in captured image frames. Magnified frames are subsequently correlated to acquire displacement and deformation fields of the object. By this way, the amplified response is obtained. This approach also can be useful when the level of excitation is too low. The paper describes the experimental measurement that is based on the following procedure. As first the experimental modal analysis is performed and one of vibration mode is chosen for the further analysis. Thereafter, the object is excited using an acoustic exciter by harmonic signal with frequency of the chosen mode at two different amplitudes of excitation. The measurement with the higher level excitation is considered as the reference one. The responses acquired under the low level of excitation are subjected to the given procedure to magnify vibration motion. Results of both measurements are compared and commented.
Parameter estimation of COG Jacobian for drone with arm capable of adjusting its COG position

To realize aerial manipulation using a drone, it is required to control the position of the center of gravity. In order to fly safely, it is necessary to obtain the parameters used for the control before takeoff. However, it is not easy to determine the parameters in advance due to changes in parts or batteries or changes in the objects to be transported. Therefore, in this research, we propose a method to estimate these parameters before flight and show its effectiveness by experiment.