Reviewerly/exHarmony huggingface dataset:
Evaluation Research on Effectiveness of Joint Action Systerm of Systerm in Military and Local Government

The evaluation of joint action systerm of systerm in military and local governmentis an extremely complex project. First of all, the evaluation of the military-civilian linkage system is an evaluation practice activity with the military-civilian linkage system as the research object, which has natural complexity. The system is complex [1], although it is composed of multiple components, it is inseparable, the functional system is not equal to the sum of its components, and it emphasizes the interaction between the components of the local autonomous system and the influence of each component on the system behavior. Secondly, joint action systerm of systerm in military and local governmentis composed of two major military and territorial systems with completely different missions, operation modes, and evaluation standards. The evaluation index system is extremely complicated to construct, and the objective function is also difficult to determine. In addition, the architecture of joint action systerm of systerm in military and local governmentis not the only one. It is often built for tasks and has temporary features. It is difficult to implement a fixed and unified method for evaluation.
IMPLEMENTASI KOMPETENSI MULTIMEDIA ERA REVOLUSI INDUSTRI 4.0 MENUJU GENERASI MUDA YANG MANDIRI

The purpose this community dedication program or PKM is to broaden horizons multimedia major students about relevant work prospects in the future, to make multimedia majors aware students to improve their quality and fight hoaxes. The method used is lectures, videos, etc. to make it easier for students to understand the training. The implementation was carried out from 25-27 June 2020 at SMK Sasmita Jaya. The implementation PKM was attended by 5 lecturers from Pamulang University, Pamulang University students and students majoring in multimedia. The conclusion this training is that training is carried out smoothly and carried out with a two-way training process. Suggestions for participants to use the training from PKM in real life.
Unified Inter-Letter Steganographic Algorithm, A Text-based Data Hiding Method

This paper funds a novel text-based steganographic algorithm with enhanced functionality with respect to the previously proposed methods. By careful selection of one of standard space characters, the introduced Inter-Letter Steganographic Method, or Visual and Reverse Extraction attacks, two additional modes of operation have been added into original InLetSteg algorithm and have been merged into a single one, called as Unified Inter-Letter Steganographic Method, or UILS. The Unified Inter-Letter Steganographic Method (UILS) embeds the data using variable step-size into the host text and the developed mathematical model can calculate the approximate length of host text required to embed certain data, statistically. In addition, the general mathematical model of UILS makes it customizable to adapt the real-world applications. The statistical parameters that are in use through this work are calculated for English host text, but are easily calculable for other languages with similar alphabets and structure of notations. Finally, the programmatically deployed UILS outputs are experimentally examined using 60 attendant and the results are discussed
Judgments of Passing Through Augmented Reality Apertures: The Role of Viewing Distance and Feedback

Augmented reality (AR) is increasingly being used for spatial applications, such as navigation and training procedures. Accurate perception of action capabilities, or affordances, in AR is critical for the effectiveness of these applications. Initial research suggests that affordances in AR are perceived similarly to the real world, but the role of restricted field of view (FOV) inherent in AR devices and feedback about affordance judgment accuracy have not been addressed. In the present study, participants made judgments about passing through an AR aperture defined by two virtual walls presented via a Microsoft HoloLens. First, we investigated whether affordance judgments were affected by viewing distance. We hypothesized that judgments would be impaired when viewing at a close distance because the entirety of the aperture was not visible within the FOV of the HoloLens. To test this hypothesis, participants viewed the aperture from a near (0.85 m) or far (3.20 m) distance. Second, we explored whether verbal feedback on judgment accuracy would improve judgments over time. To assess this question, we asked participants to adjust the virtual walls until they resembled the smallest passable aperture. Following that, they were presented with an aperture and asked to judge whether the aperture was passable and then received verbal feedback. Then they performed the adjustment task again to estimate the smallest passable aperture followed by more feedback. Results indicate that passing through judgments were closer to actual shoulder width when viewed at a distance near the aperture compared to the far viewing distance, contrary to our prediction. Verbal feedback reduced error over trials at the farther distance but not the near distance, possibly because near distance judgments were close to ceiling performance. Our results provide a promising way to reduce error in affordance judgments in AR, but also open questions about generalizability to other tasks.
Peningkatan Kreativitas dan Prestasi Belajar Siswa melalui Penggunaan Alat Peraga “Mi Bucamat” Berbantuan Kuis Who Wants To Be The Winner Kelas VIIC SMPN 2 Mandiraja

Mathematics learning in VII C class of SMP Negeri 2 Mandiraja faces some problems, that are: low student learning interest, lack of student learning activeness, less of student learning creativity, rarely used of learning media that make monotonous learning process, unsatisfactory students’ achievement because of ineffective learning process, so it requires the teacher to make an improvement effort. As an alternative, learning through Mi Bucamat teaching aid with the help of Who Wants To Be The Winner quiz is used, so that the students' creativity and learning achievement increase. This research uses classroom action research (CAR) method that consists of 2 cycles. The purpose of this study is to improve the students’ creativity and learning achievement on quadrilateral. Learning through the use of Mi Bucamat teaching aids assisted by Who Wants To Be The Winner quiz can improve the students’ learning creativity. The criteria are very good and good in cycle 1 numbering 17 students or 68.75% in cycle 2 increasing to 20 students or 85, 41%. The final test result of the second cycle showed that there was an improvement compared to the results of the first cycle test, that is from 18 students or 75% who scored above the KKM increased to 22 students or 91.67%.
Development Of E-Learning Based Mental Training Learning Model For Students Program Of Sports Education Doctoral

Research and development of this model aims to improve learning outcomes of sportseducation doctoral students in e-learning-based mental training courses. The research method used isa research and development method with development steps designed by Borg and Gall with the totalpopulation and samples in this study of 30 students. Based on data processing with statistical sciencewith a total sample of 30 Sports Education students, the mean pretest value is 85.53 and the meanposttest is 92.23, the pretest standard deviation is 2.315, and the posttest is 2.569 with the results ofthe effectiveness test using the t-test from the difference in theresults pretest obtained by the price oftO = 202,338 is greater than the price of tt = 0,000 and thevalue posttest obtained by the price of tO =196.659 is greater than the price of tt = 0.000 (at the 0.05 significance level), then the null hypothesisis rejected. So it can be concluded that, there is a significant difference between the pretest andposttest test results for the e-learning-based mental training course for doctoral students. and thenobtained theaverage price pretest with a mean = 85.533 smaller than the average posttest mean =92.233. Thus it can be stated that, e-learning-based learning products are effectively used to improvestudy skills of doctoral students in mental training courses at postgraduate level at Jakarta StateUniversity.
Towards Supporting Exploratory Search over the Arabic Web Content: The Case of ArabXplore

Due to the huge amount of data published on the Web, the Web search process has become more difficult, and it is sometimes hard to get the expected results, especially when the users are less certain about their information needs. Several efforts have been proposed to support exploratory search on the web by using query expansion, faceted search, or supplementary information extracted from external knowledge resources. However, these solutions are not well explored for the general web search in an open-domain setting. In addition, they mostly focus on supporting search in content expressed in English and Latin based languages. In this research, we propose a fully automated approach that aims to support exploratory search over the Arabic web content. It exploits the Arabic version of Wikipedia to extract complementary information that supports visual representation and deeper exploration of the search engine's results. Key Wikipedia entities are extracted from the text snippets produced by the search engine in response to the user's query. Entities are then filtered and ranked by using a novel ranking algorithm that extends the conventional PageRank algorithm. Finally, a graph is built and presented to the user to visually represent highly ranked topics and their relationships. The proposed approach was realized by developing ArabXplore, a system that integrates with the web browser to support the web search process by executing our approach in query time. It was assessed over a dataset of 100 Arabic search queries covering different domains, and results were assessed and rated by human subjects. The underlying ranking algorithm was also compared with the conventional PageRank.
Efektivitas Penggunaan Media Flash Card Dalam Pembelajaran Kanji Mahasiswa Tingkat II (Tahun 2017) Program Studi Pendidikan Bahasa Jepang Fkip UNRI

Media is always to using in learning process, although it’s used in different method. It’s like the writer that used learning aids flash card with cooperative learning method in kanji course. The purpose of this research is to describe how effective by using flash card media in kanji learning students level II of Japanese language education Study Program FKIP Riau University. This research was doing in Japanese language education Study Program FKIP Riau University year 2018/2019. This research using experimental design One Group Pre-test – Post-test design, the population is all students level II that take kanji course, and the sample is class B with 33 students. The sample was obtained by using purposive sampling technique, that’s mean the determination of samples have special consideration so that they are appropriate to be a sampled. The data was obtained by giving a test, that is pre-test at the beginning of research and also post-test at the ending of research, and then the result of the test have to processed using SPSS Version 24 IBM For Windows.The based on data analysis it was obtained that the value of the average pre-test is 69 and the value of the average post-test is increased 14 to be 83. That’s mean’s, there is a significant effect by using flash card in kanji learning. Key Words: Kanji, Flash Card, Effectiveness
A perceptive watermarking approach applied to covid-19 imaging data

This work presents a watermarking algorithm applied to medical images of COVID-19 patients The principal objective is to protect the information of the patient using an imperceptible watermarking and to preserve its diagnose Our technique is based on a perceptive approach to insert the watermark by decomposing the medical image using the Hermite transform We use as watermark two image logos, including text strings to demonstrate that the watermark can contain relevant information of the patient Some metrics were applied to evaluate the performance of the algorithm Finally, we present some results about robustness with some attacks applied to watermark images © 2020 SPIE
Intelligent Medication Reminding System for Visually Challenged Groups

This paper invested an intelligent medication reminding system that composed of optical character recognition (OCR) and text to speech (TTS) for visually challenged individuals.This approach has been implemented as an ARM-based embedded system that is adopted here to provide the service to extract the text from document and synthesize speech to generate the speech sound for the visually impaired individuals.As a domain specific reading machine, the proposed intelligent medication reminding system uses the convolutional neural network (CNN) as the optical character recognition (OCR) core engine to recognize the Chinese character, the HMM/DNN-based speech synthesis system is adopted as the pronunciation mechanism to achieve the functionality of text to speech (TTS).Since the recognition error resulted from optical character recognition, the spelling checking module based on n-gram models are also completed by detecting and correcting the error characters.For evaluating the proposed approach, several experiments are designed for the users.According to the experimental results, we can find the proposed approach can obtain the improvement in daily usage.That is to say, the developed embedded system is practical and effective.
The effects of teaching methods on English learning acts of non-English majors at National Economics University

The research has used empirical methods to evaluate the impact of English teaching methods on the learning behavior of non-language major students at National Economics University. The study experimented with the selection of two research groups: the experimental group and the control group, who learn the basic English module 1 by two different teaching methods. The research results show that the experimental group being taught by positive methods has more effective learning behaviors than the control group.
A dynamic range compression algorithm of infrared image based on neighborhood feature

Dynamic range compression and contrast enhancement are the key steps of infrared imaging. Reasonable dynamic range compression should not destroy the gray distribution relationship between adjacent pixels. Most of the existing dynamic range compression algorithms do not take maintaining the gray distribution relationship between adjacent pixels as the basic principle of algorithm design. After dynamic range compression, the gray distribution of adjacent pixels can not be consistent with that before compression, which may lead to gradient reversal, edge halo, and some algorithms have the problem that the whole image is smooth, but the details are lost seriously. An infrared image dynamic range compression algorithm with the characteristics of neighborhood gra y distribution preservation is proposed based on the principle of keeping the gray distribution of neighboring pixels. The algorithm is based on the commonly used segmented linear transformation algorithm. In order to minimize the loss of image details in dynamic range compression, local factors are introduced into the global transformation to reduce the loss of overall image details. The specific method is to add the description operator of gray distribution of adjacent pixels in the calculation of transformation parameters. The algorithm effectively improves the image details, and can obtain good display effect for the original infrared image with high dynamic range. The experimental results show that the algorithm is better than the segmented linear transformation algorithm in displaying the original infrared image with high dynamic range.
Learning Representations of Endoscopic Videos to Detect Tool Presence Without Supervision

In this work, we explore whether it is possible to learn representations of endoscopic video frames to perform tasks such as identifying surgical tool presence without supervision. We use a maximum mean discrepancy (MMD) variational autoencoder (VAE) to learn low-dimensional latent representations of endoscopic videos and manipulate these representations to distinguish frames containing tools from those without tools. We use three different methods to manipulate these latent representations in order to predict tool presence in each frame. Our fully unsupervised methods can identify whether endoscopic video frames contain tools with average precision of 71.56, 73.93, and 76.18, respectively, comparable to supervised methods. Our code is available at https://github.com/zdavidli/tool-presence/.
Speaker Discrimination in Humans and Machines: Effects of Speaking Style Variability

Does speaking style variation affect humans' ability to distinguish individuals from their voices? How do humans compare with automatic systems designed to discriminate between voices? In this paper, we attempt to answer these questions by comparing human and machine speaker discrimination performance for read speech versus casual conversations. Thirty listeners were asked to perform a same versus different speaker task. Their performance was compared to a state-of-the-art x-vector/PLDA-based automatic speaker verification system. Results showed that both humans and machines performed better with style-matched stimuli, and human performance was better when listeners were native speakers of American English. Native listeners performed better than machines in the style-matched conditions (EERs of 6.96% versus 14.35% for read speech, and 15.12% versus 19.87%, for conversations), but for style-mismatched conditions, there was no significant difference between native listeners and machines. In all conditions, fusing human responses with machine results showed improvements compared to each alone, suggesting that humans and machines have different approaches to speaker discrimination tasks. Differences in the approaches were further confirmed by examining results for individual speakers which showed that the perception of distinct and confused speakers differed between human listeners and machines.
Exploring Non-conventional Sensorimotor Devices in a Virtual Bicycle Simulator

This work presents SimBike, a virtual bicycle simulator that uses non-conventional motor, sensory and sensorimotor devices to provide greater user involvement and comfort. SimBike aims to recreate the activity of riding a bicycle by exploring possibilities of electronic devices, such as making curves with the handlebar or body-weight, pedaling, braking, among others. It also offers feedback commonly expected by the rider, such as wind sensation varying according to speed and the sensation of trepidation on uneven terrain. The simulator was evaluated with 16 users, obtaining positive results regarding user experience, comfort, and immersion. As future work, we propose to improve some features to adapt the simulator for all users, regardless of their weight and height.
A mobile revolution in sub-Saharan Africa?

The rapid growth of mobile phones in Africa has generated widespread enthusiasm. This is evidenced by the reports and programmes of development aid institutions and by the recent creation of a “community” bringing together researchers, NGOs, donors and companies around new technologies for development (Information and Communication Technologies for Development or ICTD). In the first article of this issue of Reseaux devoted to recent research on the use of mobile technologies in sub-Saharan Africa, we review the situation. Has the mobile kept its promises? What do we know about its actual uses in sub-Saharan Africa? The article reports on a significant gap between the promises of international programmes or economic forecasts, and the reality of practices and usage. It presents the articles in the special issue, which highlight the importance of mobile phones in the daily lives of populations, as well as the plurality and complexity of the actual take up of this technology and its significance for the continent.
Sistem Pendukung Keputusan Pemilihan Desa Petani Terbaik Menggunakan Metode Fuzzy Model Tahani

Indonesian is an agricultural country that produces a wide variety of agricultural and plantation products, one of which is agricultural production which is fruit trees. Fruits are an export commodity developed by the government to accompany the cultivation of food crops because of the production that has the opportunity to get greater profits. Deli Serdang Regency is a district where many people are farmers, especially in the Lubuk Pakam sub-district which consists of several villages which constitute the main income from agricultural products and livestock products, the district of Deli Serdang bordering the north with Langkat and Straits of Malaka, south with Karo District and Simalungun Regency, east of Serdang Bedagai Regency and on the west bordering Karo District and Langkat District, there are 22 sub-districts in Deli Serdang District which are each sub-district which is a large number of farming communities. For this reason, we need a system that can help sub-district leaders in making decisions to determine the best farmer villages in accordance with what is expected from the sub-district for rural villages that are in accordance with predetermined criteria. Due to the problem, it is necessary to design a decision support system using the Tahani model fuzzy database method to assist in selecting the best farmer villages in Lubuk Pakam District. Hopefully with the application of the support system decision for the selection of the best farmer villages, it is expected to be able to help with decision making or as a recommendation for villages selected in Lubuk Pakam sub-district
Teaching and technologies in times of covid-19 pandemic

Faced with a society disrupted by the phenomena triggered by the COVID-19 virus, the educational system has been one of the sectors that has adopted dizzying changes to ensure the continuity of training processes, in this order teaching and technologies are analyzed in times of pandemic, from the perception of Colombian teachers and their relationship with the State's public policies issued in 2020 Teaching has faced changes in the didactic interaction incorporating technologies, this process is analyzed from the concepts of: public policies, educational quality, educational democratization and uncertainty © 2020, Universidad del Zulia All rights reserved
Beyond Performance

Our reliance on computing technologies for making decisions or sense-making, has undergone a transformation from occurring in well defined settings (such as on traditional PCs) to taking place in-situ, for supporting everyday activities. In-situ user interfaces, have emerged largely from improved mobile and mixed-reality technologies and rely on mid-air input as the basis for interaction. Often, designers of such, on-the-go, user interfaces place an emphasis on enhancing end-user performance. However, we argue that supporting end-user comfort is as critical if in-situ interfaces are to become commonplace among the general population. In this talk, I will present some of our work on various aspects of end-user comfort for in-situ interactions. I will present models for estimating arm fatigue induced by mid-air input, and showcase interactive systems that have been specifically designed to circumvent such fatigue. I will also discuss elements of social comfort and present a framework for including such factors in the design process of end-user interfaces. I end my presentation with a discussion of some of the open problems in this space.