Reviewerly/exHarmony huggingface dataset:
SISTEM INFORMASI DOKUMEN PENDUKUNG UJIAN AKHIR SEMESTER

The final semester examination is a routine agenda for each semester for the Program Studi Sistem Informasi Universitas Nusantara PGRI Kediri. In the implementation of the final semester exams, some of the supporting documents are the exam schedule, minutes of the exam and the list of attendees of the exam. In the minutes of the exam and the attendance list, some entries must be written by the supervisor. Some of the fields include data on day, date, exam time, exam room, course name, lecturer, class and supervisor's name. Each of these documents is made in 2 copies, so that the filling process can take up the time of the supervisor when carrying out supervisory duties. When examined, some of the entries are actually already in the exam schedule, just how to make the data contained in the schedule can be integrated to complete the fields. This problem exists because there is no system or database that is the basis for making these documents. This study aims to provide a solution by building an information system that helps produce final semester exam support documents, such as exam schedules, minutes of the exam and attendance list of participants, using the PHP programming language and MySQL database support so that the process of making these documents is done systematic and automatic system. The results of the study indicate that with the Information System Supporting the Semeste Final Examination Document, the making of documents can be done in an integrated manner, so that some of the entries no longer need to be handwritten anymore. In the end, the documents produced by the system can save writing time faster.
Modeling Personalized E-Learning for Effective Distance Education

Worldwide Education Reform raises the importance of Information and Communication Technology (ICT) in Education recently. With the abundance of potential learning resources available on the Web and the pervasive access of the Internet, Web-based learning is becoming a main-stream approach and a major channel for the delivery of teaching and learning materials. One major question in web-based learning is how to harness emerging technologies to provide a learning environment that addresses individual differences in the learning process. "Personalization" is an emerging technology for serving the information needs of different users in a different way according to their individual needs. As a means to cater to individual learning needs, this paper proposes the notion of Personalized Education through the Web. Personalization in education can potentially facilitate students to learn better by incorporating different strategies to create a diversity of learning experiences, and also cater to the teacher's teaching needs in preparing and designing teaching and instructional packages. From past experience, using the technologies without regarding pedagogical concepts frequently leads to failure. A clear understanding about what is personalization, how the technology can be applied effectively to enhance or facilitate the education development, and how to fully utilize the potential value of the available resources is a much needed area for research. To address this open problem, this paper concretizes the notion of Personalized Education (PE) from pedagogical underpinning, conceptual development, system architectural design to the design and implementation of a conceptual framework of Personalized Education.
Pseudo-Rehearsal for Continual Learning with Normalizing Flows

Catastrophic forgetting (CF) happens whenever a neural network overwrites past knowledge while being trained on new tasks. Common techniques to handle CF include regularization of the weights (using, e.g., their importance on past tasks), and rehearsal strategies, where the network is constantly re-trained on past data. Generative models have also been applied for the latter, in order to have endless sources of data. In this paper, we propose a novel method that combines the strengths of regularization and generative-based rehearsal approaches. Our generative model consists of a normalizing flow (NF), a probabilistic and invertible neural network, trained on the internal embeddings of the network. By keeping a single NF conditioned on the task, we show that our memory overhead remains constant. In addition, exploiting the invertibility of the NF, we propose a simple approach to regularize the network's embeddings with respect to past tasks. We show that our method performs favorably with respect to state-of-the-art approaches in the literature, with bounded computational power and memory overheads.
VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment

We present an approach to estimate 3D poses of multiple people from multiple camera views. In contrast to the previous efforts which require to establish cross-view correspondence based on noisy and incomplete 2D pose estimations, we present an end-to-end solution which directly operates in the $3$D space, therefore avoids making incorrect decisions in the 2D space. To achieve this goal, the features in all camera views are warped and aggregated in a common 3D space, and fed into Cuboid Proposal Network (CPN) to coarsely localize all people. Then we propose Pose Regression Network (PRN) to estimate a detailed 3D pose for each proposal. The approach is robust to occlusion which occurs frequently in practice. Without bells and whistles, it outperforms the state-of-the-arts on the public datasets. Code will be released at https://github.com/microsoft/multiperson-pose-estimation-pytorch.
[Paper] Imperceptible Color Vibration for Screen-Camera Communication via 2D Binary Pattern

Communication between screens and cameras has attracted attention as a ubiquitous information source, motivated by the widespread use of smartphones and the increase of public information screens. The method that encodes data into visible patterns impairs the user's visual experience. Previously, embedding matrix barcodes into images on displays by utilizing imperceptible color vibration was proposed. In this approach, the visual experience is maintained considering that barcodes are imperceptible, and it can be implemented on almost any display and camera. Herein, we describe a sophisticated modulation protocol and restoration procedure whereby device characteristics such as the display's gamma feature and the smartphone's rolling shutter are taken into consideration. Extensive experiments reveal the parameters for the modulation and that this system works under practical situations. In addition, scenarios of potential practical applications and a user study examining imperceptibility of barcodes and usability of the system are presented to illustrate the technological capabilities.
Route Generation for Drone Delivery Service Using an Evolutionary Multi-Objective Optimization Method

The purpose of our research is to formulate a drone delivery problem (DDP) as a constrained multi-objective optimization problem and evaluate the cost-reduction effect of a drone delivery service using the provisional-ideal-point (PIP) method proposed in this paper. The original PIP method is a genetic algorithm-based (GA-based) optimization method that can efficiently generate a preferred solution for a decision-maker. However, there are two problems occur when this method is applied to the DDP. The first problem is that there exist some cases wherein the evaluation function becomes infinite in the search process, making it impossible to sort the generated solutions. The second problem is that a long time is needed for the solution search to converge. Accordingly, the process had to be aborted at the halfway point. We present an improved PIP method to overcome these two problems. The proposed method is a solution search comprising a GA combined with tabu search. It converts the DDP into a single-objective optimization problem of a delivery cost using conversion factors. This paper presents several things understood regarding the cost-reduction effect on drone delivery services using our newly proposed method.
Research on Data Mining Method Based on Privacy Protection

Indecent years, The massive growth of data in various fields not only promotes the development of data mining algorithm, But also brings the threat of privacy disclosure to the storage and mining of user data. In the process of data mining, protecting users' privacy, designing data mining methods that support privacy protection has become an important research field. Focusing on the hidden dangers of privacy disclosure in data mining methods, This paper mainly introduces the latest research progress of three privacy protection technologies, namely data distortion technology, data encryption technology and restricted publishing technology, and summarizes the research trend of data mining methods supporting privacy protection in the field of image processing and natural language processing.
Pixel-Wise Motion Deblurring of Thermal Videos

Uncooled microbolometers can enable robots to see in the absence of visible illumination by imaging the "heat" radiated from the scene.Despite this ability to see in the dark, these sensors suffer from significant motion blur.This has limited their application on robotic systems.As described in this paper, this motion blur arises due to the thermal inertia of each pixel.This has meant that traditional motion deblurring techniques, which rely on identifying an appropriate spatial blur kernel to perform spatial deconvolution, are unable to reliably perform motion deblurring on thermal camera images.To address this problem, this paper formulates reversing the effect of thermal inertia at a single pixel as a Least Absolute Shrinkage and Selection Operator (LASSO) problem which we can solve rapidly using a quadratic programming solver.By leveraging sparsity and a high frame rate, this pixel-wise LASSO formulation is able to recover motion deblurred frames of thermal videos without using any spatial information.To compare its quality against state-ofthe-art visible camera based deblurring methods, this paper evaluated the performance of a family of pre-trained object detectors on a set of images restored by different deblurring algorithms.All evaluated object detectors performed systematically better on images restored by the proposed algorithm rather than any other tested, state-of-the-art methods.
Decision Support System Course in Developed and Developing Countries

This paper reports have three goals to find out: the description of the higher education system in developed countries; the description of the higher education system in developing countries; and the decision support system syllabus in developed and developing countries that related to the higher education system. The development of technology and information has an influence on people's needs and the transformation of the labor market, so higher education is involved in intense competition. For this reason, the higher education system must be dynamic and sustainably able to enter the uncharted domain, so that in order to achieve it, developing countries need to learn about the higher education system in developed countries to improve the higher education system in their country. The method used is descriptive study and critical study taking into account the guidelines proposed by Kitchenham and adjusted to the literature review which consists of 2 main stages, namely planning and implementation. At the planning stage, broadly the selection of studies related to education, research, and information systems with criteria, namely studies published between 2012 and 2018, and studies that describe the higher education system, as well as decision support systems as topics. The study category consists of tertiary education in developed and developing countries, the higher education system when the study is conducted, and the efforts made regarding the higher education system in the country. Content analysis makes it possible to find research trends on a topic. In the event of a difference, resolved through discussion. By highlighting the positive aspects of the picture of the higher education system in developed and developing countries, and the decision support system course as a topic, it is hoped that it can assist in shaping education reform with the assumption that countries are willing to learn from each other about success from other countries.
RFID TECHNOLOGY: AN OVERVIEW

The information technology has changed the way library professional to interact, communicate, share and acquire knowledge. However, when the computer was created it did not have features and facilities for users to interact. With the evaluation of Internet and Communication Technology, manual library has evolved into a dynamic, interactive and collaborative platform that facilitates exchange of knowledge and information among its users. RFID is the latest technology to be used in libraries and information centers for book identification, for self-checkout and for theft detection. This paper presents an overview of RFID, it defines RFID, Components, Benefits and Limitations.
Contactless interfaces in virtual reality

This work presents the results research on interfaces enabling navigation in virtual reality. An original program presenting a typical museum gallery has been written. It implemented a number of different moving scenarios. The paper analyzes which of these methods is best for the user. The optimal speed was tested and determined, using the user feels comfortable and does not lose the sense of control over the program.
Exploring the knowledge of social media platforms among higher education institute students’ of Rangpur, Bangladesh

Social media (SM) is one of the best indicators of the technological era. Nowadays people are witnessing the rapid increase of SM in almost every field of our lives from education to politics, society, and economics. It attracts all ages of people. Especially students show an intense interest in social media. The purpose of the study was to know the most preferred SM and the using pattern knowledgeability of respondents regarding various social media platforms (SMPs). A questionnaire-based survey was conducted over 100 students (60 males and 40 females) who were selected randomly from two largest universities in Rangpur, northern part of Bangladesh, studying in undergraduate and postgraduate programs in 2019 between ages 18 and 26. 95% of the respondents used different social media platforms where the top preferred social media platforms are Facebook (88%), YouTube (81%), and IMO (45%). The mean values of the respondents' using pattern knowledgeability level were between 4.46 and 1.88, with standard deviations ranging from 1.10 to 1.83. Most of the respondents have enough using pattern knowledgeability of being a user of Facebook with a wide range of mean scores in both the variables. Respondents have less using pattern knowledgeability of being a user of Viber with a tight range of mean scores in both the variables. All the dependent variables (features), except one (r-value 0.253), showed positive and significant correlations with the usage period where both the features of Twitter have the highest positive significance (r-value 0.945, 0.941 respectively). These scores were significant at p&lt;0.05 level of probability.
Stakeholder Perspectives on Design Interventions in Dementia Care

Research in design and HCI is investigating the role of design interventions in adding value to the quality of life of people with dementia. However, the sustainable use of design interventions in care environments remains challenging due to the complex values and needs of all involved stakeholders. In this paper, we present the results of two workshops with stakeholders from practice, academia, and policy organizations in dementia care, which revealed initial insights into the requirements for implementing design interventions in care facilities. In total, 21 participants explored the criteria to implement Vita, an interactive sound cushion in a dementia care home from the perspective of an entrepreneur, a relative, and a professional caregiver. The workshop outcomes indicate that sustainable design interventions in healthcare settings need to be: 1) directly available in the care space; 2) stimulated and supported by care organizations; and 3) come with clear information and personal guidance.
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation

The performance of Multi-Source Unsupervised Domain Adaptation depends significantly on the effectiveness of transfer from labeled source domain samples. In this paper, we proposed an adversarial agent that learns a dynamic curriculum for source samples, called Curriculum Manager for Source Selection (CMSS). The Curriculum Manager, an independent network module, constantly updates the curriculum during training, and iteratively learns which domains or samples are best suited for aligning to the target. The intuition behind this is to force the Curriculum Manager to constantly re-measure the transferability of latent domains over time to adversarially raise the error rate of the domain discriminator. CMSS does not require any knowledge of the domain labels, yet it outperforms other methods on four well-known benchmarks by significant margins. We also provide interpretable results that shed light on the proposed method.
The Effect of Meister High School Student's Achievement Goals of Fisheries and Maritime on Career Decision

The purpose of this study was to investigate the effect meister high school student’s achievement goals of fisheries and maritime on career decision. Because of the influence of the Fourth Industrial Revolution, i think it is an important task for self-realization to pursue diverse and professional jobs that suit one"s ability and aptitude. Fisheries and maritime high school students often go on to their grades rather than choosing their career path based on their personal aptitude, aptitude, ability and interest. Schools should instill positive learning motivations and specific achievement goals, and provide opportunities for career exploration to suit students" individual aptitude, aptitude and ability. In addition, by implementing career education that fits the students" standards, schools can raise their goals of achievement and further increase their career decisions. Therefore the purpose of this study was to reveal the academic achievement goals and social achievement goals of the meister high school students in the fisheries and shipping fields, depending on gender, grade, region and major. The purpose was also to provide basic data to improve the level of academic achievement of high school students in the fisheries and shipping industries.
Independent Component Analysis for Compositional Data

Compositional data represent a specific family of multivariate data, where the information of interest is contained in the ratios between parts rather than in absolute values of single parts. The analysis of such specific data is challenging as the application of standard multivariate analysis tools on the raw observations can lead to spurious results. Hence, it is appropriate to apply certain transformations prior to further analysis. One popular multivariate data analysis tool is independent component analysis. Independent component analysis aims to find statistically independent components in the data and as such might be seen as an extension to principal component analysis. In this paper, we examine an approach of how to apply independent component analysis on compositional data by respecting the nature of the latter and demonstrate the usefulness of this procedure on a metabolomics dataset.
Knowledge Sharing Framework for Modern Code Review to Diminish Software Engineering Waste

Modern Code Review (MCR) is a quality assurance technique that involves massive interactions between team members of MCR.Presently team members of MCR are confronting with the problem of waiting waste production, which results in their psychological distress and project delays.Therefore, the MCR team needs to have effective knowledge sharing during MCR activities, to avoid the circumstances that lead the team members to the waiting state.The objective of this study is to develop the knowledge sharing framework for MCR team to reduce waiting waste.The research methodology used for this study is the Delphi survey.The conducted Delphi survey intended to produce the finalized list of knowledge sharing factors and to recognize and prioritize the most influencing knowledge sharing factor for MCR activities.The study results reported 22 knowledge sharing factors, 135 sub-factor, and 5 categories.Grounded on the results of the Delphi survey the knowledge sharing framework for MCR has been developed.The study is beneficial for software engineering researchers to outspread the research.It can also help the MCR team members to consider the designed framework to increase knowledge sharing and diminish waiting waste.
Comparative Experiments on Simulated Tornado Experience via Virtual Reality and Augmented Reality

In Japan, a tornado is an infrequent natural disaster; however, tremendous winds can cause considerable damage. To prepare for such events, simulated tornado experience (STE) considering tremendous wind as a major hazard and incorporating evacuation plans must be provided. However, introduction of a large wind generator in STE is difficult. We developed simple VR and AR systems (VR-STE and AR-STE) that render STE by realistically simulating tornadoes and conducted comparative experiments. We set research questions that aimed to clarify how VR- and AR-STEs differ from STE, which expresses tornadoes with audiovisual effects and real, tremendous wind generated by a large wind generator. The survey variables were fear, self-efficacy, and learning motivation to cope with a tornado. The experimental results revealed that audiovisual effects can retain learners’ fear of a tornado and influence learners’ self-efficacy and learning motivation. Furthermore, VR-STE is more suitable than AR-STE in terms of controlling fear and system operation.
#Happyanniversary: Gender and age differences in spouses’ and partners’ Twitter greetings

<p xmlns="http://www.ncbi.nlm.nih.gov/JATS1">Research and theory suggest that men, on average, are inhibited from expressing vulnerable emotions such as love, whereas women do so more readily. Based on theories of gender socialization and social media uses and gratifications, we conducted a content analysis of gender differences in the domain of wedding and other relationship anniversary greetings delivered on Twitter (N = 414 tweets). We tested for gender as well as age differences in three areas: symbolic (emoji), photographic, and verbal content. As hypothesized, women were more likely to use emojis than were men. Most tweeters who included photographs in their greetings used photos of themselves and their partners today, although some subgroups of men and women preferred photos from their weddings. Age-related differences were clear: young-adult tweeters preferred symbolic emojis to deliver their anniversary greetings, whereas older/middle-aged adults opted for verbal/textual communication, particularly in the areas of tribute and inspirational statements and humor. Results are discussed in terms of gender-role socialization, social and cultural norms, and modes of communication (e.g., written letters and notes, smartphone texts) during different historical eras.