Reviewerly/exHarmony huggingface dataset:
Interactive Platform of Gesture and Music Based on Myo Armband and Processing

Abstract This interactive platform of gesture and music is an interactive product developed with the Myo armband. We conduct EMG gesture recognition research, mainly using the DTW algorithm to calculate the distance between the templates, so we can use the DTW algorithm for real-time gesture recognition. We used p5 and Processing for development, and completed sound recording and sound processing by reading the gestures of Myo. The user can feel the change of music when issuing the action command. At present, we have completed the development of three modes: vibrator, sound changer and audio processor.
Strategies Of Assertive Communication In The Teaching Profession

The aim of the study is to collect and interpret empirical data to outline the perception of students about the role of assertive communication in inter-human communication and into the teacher-student communication. In pursuit of this intention, we organized and conducted three exploratory workshop activities based on the focus group. The concepts of didactic profession and assertive communication are delimitated from the perspective of the latest theories. There are presented arguments concerning the importance of integrated development of some teaching competence to the students who are trained for teacher profession such as: communication skills, self-assertion and self-management. The research focuses on several essential dimensions of assertive communication, namely, initiating communication, self-esteem, defending ones own rights, expressing positive and negative emotions. Its results give us insights into the students personal perspectives on building the teacher-student relationship, on the concrete self-assertion strategies they use consciously, on handling conflicts and injustice situations, and on the techniques used to manage emotions in the context of didactic relations. Starting from the types of assertive behaviours manifested by students in communication a structure of training and personal development needs of students is being developed, as well as a series of educational strategies that can meet the expectations of future teachers.
Enabling Automated Requirements Reuse and Configuration

Software-intensive systems belonging to a product line (PL) often have their shared architecture design available before they are developed. Therefore, the PL often has a large number of reusable and configurable requirements, which are naturally organized hierarchically based on the architecture of the PL. To enable reuse of requirements through configuration at the requirements engineering phase, it is important to provide a methodology (with tool support) to help practitioners to systematically and automatically develop structured and configuration-ready PL requirements repositories. Such a repository can cost-effectively facilitate the development of requirement repositories specific to individual products, i.e., individual systems. In addition, configurations to the repository at the requirements engineering phase of developing a system are part of its complete configurations and can be naturally carried on to downstream product configuration phases such as the design level configuration phase. A complete set system configurations can then be systematically obtained and managed. In this paper, we propose a methodology with tool support, named as Zen-ReqConfig, which is built on existing model-based technologies, natural language processing, and similarity measure techniques, for developing PL requirement repositories and facilitating requirements configuration. Zen-ReqConfig first automatically devises a hierarchical structure for a PL requirements repository. Then, it automatically identifies variabilities in textual requirements. Based on the developed configuration-ready PL requirements repository, it can then facilitate the configuration of products/systems at the requirements level. Zen-ReqConfig relies on two types of variability modeling techniques: cardinality-based feature modeling (CBFM) and a UML-based variability modeling methodology (named as SimPL). Both CBFM and SimPL have been used to address real-world variability modelling problems. To gain insights on the performance of Zen-ReqConfig, we evaluated it with five case studies and experimented with two different similarity measures and two different modelling methods: SimPL and CBFM. Results show that Zen-ReqConfig performed better when it is combined with the Jaro similarity measure. When Zen- ReqConfig is integrated with Jaro, it can (1) structure PL textual requirements under the most fit match criterion with high precision and recall, over 95% for both CBFM and SimPL; (2) identify variabilities in textual requirements under the most fit match criterion, with the average precision over 97% for SimPL and CBFM, and with the average recall over 94% for both SimPL and CBFM; and (3) generate repository structures within 1 second; 4) and allocate a requirement to the repository within 2 seconds on average. When looking into the impact of the two modelling methods on the performance of Zen-ReqConfig, we did not observe practical differences between SimPL and CBFM, implying that Zen-ReqConfig works well with both SimPL and CBFM.
Highly nonlinear (vectorial) Boolean functions that are symmetric under some permutations

We first give a brief survey of the results on highly nonlinear single-output Boolean functions and bijective S-boxes that are symmetric under some permutations. After that, we perform a heuristic search for the symmetric (and involution) S-boxes which are bijective in dimension 8 and identify corresponding permutations yielding rich classes in terms of cryptographically desirable properties.
Text Book As a Java Culture Recognıtıon Medıa in Indonesıan Learnıng For Foreıgn Speaker (BIPA) in Sebelas Maret University

The development of Indonesian language is increasingly evident. Indonesian language increasingly&#x0D; exists not only in Indonesia, but also abroad. One effective government program to advance&#x0D; Indonesian is through the BIPA program. This program is not only intended to introduce&#x0D; Indonesian, but also to introduce Indonesian culture. One of the media that is used in BIPA learning&#x0D; to introduce the Indonesian culture, especially Javanese culture, is the use of textbooks. This&#x0D; textbook is used as an intermediary on aspects of Javanese culture that are not possible to be shown&#x0D; directly to foreign students as BIPA learning subjects. The Javanese cultures presented by textbooks&#x0D; in BIPA learning include 1) traditional transportation, 2) traditional food and drinks, 3) traditional&#x0D; arts, 4) traditional clothes, and 5) ancient temples in Java. This research is descriptive qualitative. The&#x0D; data source in this research was the written data source, which is in the form of data contained in&#x0D; textbooks used in BIPA learning
ASSESSMENT OF PERCEIVED BARRIERS ON ONLINE HEALTH INFORMATION SEEKING ACTIVITIES AMONG UNIVERSITY STUDENTS: CASE STUDY OF MALAYSIA

Due to the overgrowth of the information over the internet, concept of information needs and seeking behaviors of various group of people has been raised and highlighted to be studied. Understanding user needs and behaviors can wipe half of the solving time in providing information-services. Information seeking behavior becomes the major issue highlighted by several researchers specially the studentsâ€™ information seeking behavior. Previous study shows that being high education learning students, it is not guaranteed their proficiency in searching skills to retrieve the proper and valid information. There are perceived barriers that inherent to how information is seek online. Hence, it is the aim of this paper to assess the potential dimensions that emerged from a number of observational items on the perceived barriers. Two important dimensions emerged from this study of perceived barriers to eHealth information seeking activities. These are, psychological and technical barriers.
Secure Human Authentication with Graphical Passwords

Both alphanumeric and graphical password schemes are vulnerable to the shoulder-surfing attack. Even when authentication schemes are secure against a single shoulder-surfing attack round, they can be easily broken by intersection attacks, using multiple shoulder-surfing attacker records. To this end, in this paper we propose a graphical password-based authentication scheme to provide security against the intersection attack launched by an attacker who may record the user’s screen, mouse clicks and keyboard input with the help of video recording devices and key logging software. We analyze our scheme’s security under various threat models and show its high security guarantees. Various analysis, usability studies and comparison with the previous work highlight our scheme’s practicality and merits.
Traffic Management Training Via Dedicated Software

Within the context of urban traffic intensification and current EU transportation planning provisions, higher education Master’s programmes have been challenged to constantly review and customize curricula in order to enhance students’ professional development to meet the demands of the contemporary labour market. Designed as a case study project for 2nd year Masters’ students, the research objective assigned to our students was the determining of the kinematic and dynamic parameters of a vehicle and a pedestrian involved in a road accident. By means of Virtual Crash software platforms we set out to train our students’ technical skills and critical thinking in the analysis of pedestrian-vehicle impacts. Hence, we aim at familiarising the students with the tools provided by the software and to assist them in the analysis of traffic accidents virtual modelings. Resorting to the application provided by Virtual Crash, students will learn how to determine the trajectory of vehicles, based on vehicle movements in the pre- and post-impact phase. To accomplish their assignment students will fulfill the following stages of the virtual vehicle - pedestrian impact modeling: to design the scenario of the traffic accident in the virtual environment, observing the traces and distances identified in the criminal field; to determine how the road accident was produced; to determine the speed of the vehicle at the impact and the projecting distance of the pedestrian; to identify the phases of the collision.
On Improving 3D U-net Architecture

This paper presents a review of various techniques for improving the performance of neural networks on segmentation task using 3D convolutions and voxel grids – we provide comparison of network with and without max pooling, weighting, masking out the segmentation results, and oversampling results for imbalanced training dataset. We also present changes to 3D U-net architecture that give better results than the standard implementation. Although there are many out-performing architectures using different data input, we show, that although the voxel grids that serve as an input to the 3D U-net, have limits to what they can express, they do not reach their full potential.
ANALISIS STILISTIKA NOVEL DARI HARI KE HARI KARYA MAHBUB DJUNAIDI DAN RELEVANSINYA SEBAGAI MATERI AJAR BAHASA INDONESIA DI SEKOLAH MENENGAH ATAS

&lt;em&gt;The aims of this research are to describe diction (word choise, figure of a speech, imagery of Dari Hari Ke Hari’s novel by Mahbub Djunaidi, and the relevance of the results of studies as Bahasa Indonesia teaching material for the Senior High School. This study is a qualitative descriptive with content analysis method. The result showed that. First, the use of diction (choice words) includes concrete words, connotative words, word greetings or self-names, vulgar words, words of absorption, regional vocabulary, and words with natural reality. Second, the use of language style (Figure of a speech) includes simile, metaphor, personification, depersonification, allegory, antithesis, pleonasme, periprasis, anticipation, epanortosis, satire, paradox, climax, anti-climax, allusion, atonomation, eroteris, asyndeton, polisedenton, epizeukis, anaphora, and epystrofa. Third, the use of imagery includes visual imagery, motion imagery, olfactory imagery, tactical imagery, and auditory images. Fourth, Dari Hari Ke Hari’s novel can be used as a teaching material in high school literature class XII curriculum of 2013, ie at base competence understand the structure and rules of novel text.&lt;/em&gt;
Optimal Longitudinal Trajectory Planning for a Quadrotor UAV Including Linear Drag Effects

This work proposes a methodology for determining the optimal trajectories of a quadrotor UAV in the sense of a trade-off between a control energy cost and a time-related cost under the influence of linear drag. The consideration of such a trade-off is motivated by the need to find efficient strategies to deal with battery-powered UAVs having limited battery charge. The problem is formulated as a free terminal time optimal control problem using a trade-off cost index and solutions are derived using the Pontryagin's Minimum Principle (PMP). The results show the sensitivity to drag effects of some important quantities such as trajectory smoothness, control energy, and final time. One of the important contributions of the methodology proposed in this paper is that it provides a Pareto optimal curve that is parameterized by the drag coefficient divided by the mass of the vehicle. Extensive simulation plots, including the Pareto optimal curve, show the results of the proposed method for different drag coefficients.
An Effort Estimation Support Tool for Agile Software Development: An Empirical Evaluation

Accurate effort estimation is an important part of the software process.In Agile Software Development, the techniques for predicting effort are mostly based on expert judgment, but there are approaches based on Machine Learning.The theme continues to be challenging and a subject of further studies given the difficulty of finding accurate solutions to the problem.This paper proposes and evaluates a tool based on the decision tree method for effort estimation in agile projects.We evaluated our tool given its accuracy and ease of use collecting data from four projects.To evaluate the accuracy, we compared the values of Magnitude of Relative Error from the teams' estimations with the values provided by the tool.To evaluate the ease of use, we used the Technology Acceptance Mode.The initial results show that the tool can be reliably used with minimal training.In terms of accuracy, the tool achieved lower error compared to the estimates provided by the teams (mean: 19.05% vs 33.32%), and the evaluation means in TAM were higher than 4.0 in ten of the eleven variables analyzed on a Likert scale.From this work, we conclude that estimation by decision tree is a viable technique that, at the very least, can be used by project managers to complement current estimation techniques.
EMOTION DETECTION ON KENYAN TWEETS USING EMOTION ONTOLOGY

Purpose: The purpose of the study was emotion detection on Kenyan tweets as a powerful tool in detecting and recognizing the various feelings among netizens and provide critical analytics that can be used in various platforms for decision making.Methodology: This research study adopted a descriptive research design approach. The researcher preferred this method because it allowed an in-depth study of the subject. The target population will be twitter account holders with twitter followers ranging between 100,000 up to 2000, 000 in Kenya. Data was analyzed using descriptive and inferential statistics. The study will employ a census approach to collect data from the respondents hence no sampling techniques will be used. According to Larry (2013) a census is a count of all the elements in a population. The sample size will be the 150 respondents .Quantitative data was analyzed using multiple regression analysis. The qualitative data generated was analyzed by use of Statistical Package of Social Sciences (SPSS) version 20.Results: The response rate of the study was 64%.The findings of the study indicated that hashtags, emojis, GIF’s and adjectives have a positive relationship with emotion detection in Kenya.Conclusion: R square value of 0.715 means that 71.5% of the corresponding categorization in emotion ontology can be explained or predicted by (hashtags, emojis, GIF’s and adjectives) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.715), p=0.000 &lt;0.05).Policy recommendation: Finally, the study recommended that twitter account holders should embrace various emotion detecting platforms so as to improve how they articulate issues and further researches should to be carried out in other social media platforms to find out if the same results can be obtained.
Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks.

Convolutional Neural Networks have achieved impressive results in various tasks, but interpreting the internal mechanism is a challenging problem. To tackle this problem, we exploit a multi-channel attention mechanism in feature space. Our network architecture allows us to obtain an attention mask for each feature while existing CNN visualization methods provide only a common attention mask for all features. We apply the proposed multi-channel attention mechanism to multi-attribute recognition task. We can obtain different attention mask for each feature and for each attribute. Those analyses give us deeper insight into the feature space of CNNs. The experimental results for the benchmark dataset show that the proposed method gives high interpretability to humans while accurately grasping the attributes of the data.
Analysis of Flood Discharges on Way Samal River in Moluccas Province

Way Samal river is one of the rivers in district of Central Maluku which is intended for agricultural activities.But when its rainy season, there are many problem caused by overflowing of river Way Samal.So, we need to find the right solution to overcome this problem.In general the best solution is technical engineering, by planning the building control and normalization of the river.It needs to be analyzed how much flood discharge that occurs in the Way Samal river flow.In this study a flood discharge planning analysis was conducted using annual maximum rainfall.This rainfall is analyzed for rainfall plans by using probability distributions Gumbel, Normal, Log-Normal, and Log-Pearson Type III.Furthermore, the distribution is tested for compatibility by using Chi-Square test and Kolmogorof Smirnov Test.After that based on the match test results, the design flood discharged was calculated by using the synthesis hydrograph method of Snyder and Nakayasu.Then these two synthesis methods are compared and select the closest to trend based on the linear average approach.
Enrichment of dictionaries to improve the automatic classification of feelings in postings related to the use of systems

This work proposes an investigation to improve the efficiency of a lexical-based classifier, the SentiStrength, for automatic sentiment detection in postings related to the use of systems. To achieve this goal, the TF-IDF metric was used to select words that are related to the domain of the posts, which will enrich the dictionary used by the tool to generate the polarity of the posts. The efficiency of a dictionarie enriched with words in their root form and a dictionarie enriched with lematized words will also be investigated. The research was conducted with 2108 sentences extracted from the reviews section of the Play Store on urban mobility applications, such as Waze, Google Maps and GPS Brazil. One of the results obtained was a 7.3 % increase in the accuracy of the classifier when using enriched dictionaries.
Evaluating Gant Project, Orange Scrum, and ProjeQtOr Open Source Project Management Tools using QSOS

The task of managing a software project is an extremely complex job, drawing on many personal, team, and organizational resources. We realized that exist many project management tools and software being developed every day to help managers to automate the administration of individual projects or groups of projects during their life-cycle. Therefore, it is important to identify the software functionalities and compare them to the intended requirements of the company, to select which software complements the expectations. This paper presents a comparison between three of the most popular open source project management tools: Gantt Project, OrangeScrum, ProjeQtOr. To assess these project management tools is used the Qualification and Selection Open Source (QSOS) methodology.
Upaya Meningkatkan Motivasi Belajar dan Hasil Belajar Ekonomi dengan Menggunakan Model Student Team Achievement Division (STAD) pada Kelas X di SMA Negeri 1 Katingan Hilir

This study aims to, 1) Know the activities of students, 2) Know the learning motivation of students, 3) Increase the results of learning Economics after using the STAD Model on students of class X6 of Katingan Hilir 1 High School. This type of research is the Class Action Research (CAR). The type of model used is the STAD Model. The subjects of this study were students of class X 6 of Katingan Hilir 1 Senior High School, totaling 22 students as well as research samples. Data collection techniques used are observation, tests, and documentation. Data analysis techniques are based on the results of the cycle during the learning process. The results of the study show that: 1) The activity of students increases and is better. This is indicated by the learning activities of the first cycle which scored 58.65 (2.67) which increased in the second cycle with a score of 78.67 (3.58). 2) The learning motivation of students increases, this is shown from the observation sheet cycle I obtaining a score of 62.66 (22.85) increasing in the second cycle with a score of 72.06 (3.28). 3) There is an increase in student learning outcomes by using the Student Team Aiviement Divison (STAD) model. This is intended from the learning outcomes of students in the first cycle of 72.31 (72.27%) increasing in the second cycle to 78.3 (100%).
Robust High-Level Video Stabilization for Effective AR Telementoring

This poster presents the design, implementation, and evaluation of a method for robust high-level stabilization of mentees first-person video in augmented reality (AR) telementoring. This video is captured by the front-facing built-in camera of an AR headset and stabilized by rendering from a stationary view a planar proxy of the workspace projectively texture mapped with the video feed. The result is stable, complete, up to date, continuous, distortion free, and rendered from the mentee's default viewpoint. The stabilization method was evaluated in two user studies, in the context of number matching and for cricothyroidotomy training, respectively. Both showed a significant advantage of our method compared with unstabilized visualization.
Pedagogical Innovations for Technology-Enabled Learning

In this knowledge series, we cover successful approaches to innovation that are rooted in pedagogy. The following sections introduce both innovation and pedagogy, explaining some of the ways in which technology can be used to support and enable pedagogy. The report goes on to describe a framework for analysing and supporting pedagogical innovations to ensure they have a good chance of success. It concludes by outlining recent pedagogical innovations in TEL that can be trialled in any classroom where learners have access to smartphones and the Internet.