Reviewerly/exHarmony huggingface dataset:
DeepME: Deep Mixture Experts for Large-scale Image Classification

Although deep learning has demonstrated its outstanding performance on image classification, most well-known deep networks make efforts to optimize both their structures and their node weights for recognizing fewer (e.g., no more than 1000) object classes. Therefore, it is attractive to extend or mixture such well-known deep networks to support large-scale image classification. According to our best knowledge, how to adaptively and effectively fuse multiple CNNs for large-scale image classification is still under-explored. On this basis, a deep mixture algorithm is developed to support large-scale image classification in this paper. First, a soft spectral clustering method is developed to construct a two-layer ontology (group layer and category layer) by assigning large numbers of image categories into a set of groups according to their inter-category semantic correlations, where the semantically-related image categories under the neighbouring group nodes may share similar learning complexities. Then, such two-layer ontology is further used to generate the task groups, in which each task group contains partial image categories with similar learning complexities and one particular base deep network is learned. Finally, a gate network is learned to combine all base deep networks with fewer diverse outputs to generate a mixture network with larger outputs. Our experimental results on ImageNet10K have demonstrated that our proposed deep mixture algorithm can achieve very competitive results (top 1 accuracy: 32.13%) on large-scale image classification tasks.
Implementasi Algoritma K-Nearest Neighbor Untuk Memprediksi Program Studi Bagi Calon Mahasiswa Baru

One of the factors for students graduating on time with good grades is that the study program they take is in accordance with their interests and competencies. For this reason, in the process of admitting new students, it is necessary to carry out selection, information and direction regarding the chosen study program. By using previous year's student data, data mining processing is carried out to produce classifications of study programs for prospective new students. To get maximum results, preprocessing data is carried out, after which the data is divided into training data and testing data. The two data are then processed with the K-Nearest Neighbor algorithm to determine the suitability of the Study Program class in the testing data and then the measurement accuracy value is calculated. Because it has a high accuracy value of 74%, using this training data it is developed in the form of an application with Java NetBeans which can be used to assist prospective new students in predicting the appropriate study program
AUGMENTED REALITY PENGENALAN OBJEK WISATA TAMAN MUMBUL SANGEH BERBASIS ANDROID

Mumbul Park Tourism Object is a tourist attraction located in Sangeh Village, Abiasemal District, Badung Regency. In Mumbul Park there are two temples named Pura Luhur Mumbul (Puru Ulun Siwi) and Pura Ulun Mumbul. In addition to the temple in the Mumbul Sangeh Park Tourism Object, there is a pengelukatan called Pancoran Solas and there is a pond (lake) with thousands of fish. The Mumbul Park Tourism Object has its own charm for tourists, but the lack of information regarding the Mumbul Sangeh Park Tourism Object makes not many people know about the tourist area. Therefore, we need an introduction media regarding the object of the Mumbul Sangeh park which is more modern with Android based Augmented Reality media. This application contains direct information about the history of the Mumbul Park Tourism Object, Pancoran Solas 3D Penglukatan Object, Ulun Danu Temple and the Queen Niang Sakti Statue, Videos and Photos of the introduction of Mumbul Park. The method used in this research is the MDLC (Multimedia Development Life Cycle) method and the C # programming language. The making of this application uses Unity3D, CorelDraw and Adobe Illustrator as the interface designer, Adobe Premiere to edit the introduction video. Based on the results of tests carried out using two testing methods, namely blackbox testing and questionnaires. This application is distributed via Google Drive.. Keywords—Mumbul Sangeh Park, Pancoran Solas, Ulun Danu Temple, Ratu Niang Sakti Statue, Augmented Reality, Android
Performance Information Editing System for Player Piano Aiming at Human-like Performance

We have developed a system that enables automatic piano performance [1].Eighty-eight actuators are attached to a grand piano's keys, and two actuators are attached to the pedals.These actuators execute keystrokes and pedal movements to govern the piano's performance, e.g., "Figure 1" [2].In our research, we are trying to bring human-like skill and expression to player piano performance.Playing the piano expressive by player piano, adjusting the volume, length, and music timing is necessary.We aimed to develop a system that can infer performance based on skilled pianist's features.Therefore, we developed a system that can estimates the performance expression of unedited music automatically by using edited performance data and score data.In this paper, we described a phrase search using Dynamic Programming (DP) matching [3].In addition, we mention a method for selecting an optimal phrase and how to infer parameters of notes.Finally, we evaluated an inferred entire song played by both-handed. EDITING SUPPORT SYSTEM Performance InformationThe automatic piano that we have developed uses a musical data structure similar to musical instrument digital interface.The editing support system edits four parameters contained in a tone: "Velo" (velocity), "Gate, " "Step", and "Time"."Velo" is the volume of
A Case Study of Home-school Cooperation for High Risk Students in Long Tracking

Home-school cooperation plays an important role in the psychological precision support in colleges and universities.This paper will reveal a case study of home-school cooperation for high risk students in long tracking.In the process of crisis intervention, the practical dilemma of home-school cooperation should be paid attention to without break.Home-school cooperation should be vigilant.Only by keeping communication open, can the probability of parents' old state rekindling and carelessness be reduced.
SMART DESKTOP ASSISTANT USING DIGITA IMAGE PROCESSING

Smart desktop assistants are very helpfulin various computer applications and also smartdesktop assistants have the ability to interact withmachines efficiently through human computerinteraction(HCI). In this paper a survey ofapplicationsofsmartdesktopassistantsispresented. Applications like control the mediaplayer, write by using hand gestures, play games likesudoku and also OCR. There are various issues ofthe smart desktop assistants and challenges faced inthis project. Review methods of these problems andtheir solutions presented as well. Summary ofresearch results of applications, their methods,databases, and comparison between old and newphasesarealsogiven.Advantagesanddisadvantages of the smart desktop assistants areexplained finally.
Distributional Metareasoning for Heuristic Search

Heuristic search methods are widely used in many real-world autonomous systems. Yet, people always want to solve search problems that are larger than time allows. To address these challenging problems, even suboptimally, a planning agent should be smart enough to intelligently allocate its computational resources, to think carefully about where in the state space it should spend time searching. For finding optimal solutions, we must examine every node that is not provably too expensive. In contrast, to find suboptimal solutions when under time pressure, we need to be very selective about which nodes to examine. In this work, we will demonstrate that estimates of uncertainty, represented as belief distributions, can be used to drive search effectively. This type of algorithmic approach is known as metareasoning, which refers to reasoning about which reasoning to do. We will provide examples of improved algorithms for real-time search, bounded-cost search, and situated planning.
The image of Soviet Russia Nadezhdy Melnikova-Papoushkovoy

Образ Советской России в тексте Надежды Мельниковой- Папоушковой - Institutional repository of Federal State Autonomous Educational Institution of Higher Professional Education Ural Federal University named after the first President of Russia B.N.Yeltsin
Monte Carlo Filtering Objectives

Learning generative models and inferring latent trajectories have shown to be challenging for time series due to the intractable marginal likelihoods of flexible generative models. It can be addressed by surrogate objectives for optimization. We propose Monte Carlo filtering objectives (MCFOs), a family of variational objectives for jointly learning parametric generative models and amortized adaptive importance proposals of time series. MCFOs extend the choices of likelihood estimators beyond Sequential Monte Carlo in state-of-the-art objectives, possess important properties revealing the factors for the tightness of objectives, and allow for less biased and variant gradient estimates. We demonstrate that the proposed MCFOs and gradient estimations lead to efficient and stable model learning, and learned generative models well explain data and importance proposals are more sample efficient on various kinds of time series data.
The Use of Audio Visual Media In Improving The Quality Of PAI Learning In SMA Negeri City Of Bandung

The background of the research is based on basic problems including audio-visual learning media as a support for the learning process in the world of education that is not optimal, lack of human resources and rapid technological developments, the readiness of the world of education itself must be able to balance and harmonize the system in optimizing the process of educational activities. The general purpose of this research is to find an overview of Computer-Based Learning Management in Improving the Quality of Student Learning Outcomes. The focus of the objectives is specifically to seek an overview: 1) Planning; 2) Organizing; 3) Implementation; 4) Supervision; 5) Problems; 6) Future Efforts; and 7 Results of Audio Visual Learning Media in Improving the Quality of PAI learning. Audio Visual Learning Media Theory is the basis of this research. The research procedure is determined by the determination of qualitative methods, through the process of: 1) Observation; 2) Interview; 3) Documentation. Which is developed through the triangulation process. The findings of the study of Audio Visual Learning Media Management in Improving the Quality of PAI Learning. Includes the process 1) Planning, its implementation in accordance with the development of computer-based learning is still within the scope of the process as the implementation of educational activities and has not been developed in full planning to support student learning outcomes; 2) Organizing, showing that the pattern of supporting human resources in the proportion of audio-visual learning media development is not in line with the developments currently needed. 3) Implementation, operation of audio-visual learning media only builds competence for the introduction of Information and Communication Technology in general without being developed with the application of the system in the educational environment itself 4) Supervision, specifically in building computer-based learning systems, mechanisms for implementing computer systems have not yet been built themselves in building student learning outcomes. 5) Problems, the readiness of Human Resources, facilities and systems for computer-based learning mechanisms themselves have not been developed; 6) Future Efforts, waiting for the policy to become the basis for determining the operational form in building a computer-based learning process unit and 7) Results, which are the consequences of the pattern of supporting infrastructure facilities that are needed with a balance of supporting human resources in it and this has not been built in unit for implementing educational activities at the Research locus. In conclusion, optimizing the form of application of the use of audio-visual media in improving the quality of PAI learning. Students are needed in building the quality of student learning outcomes where information is developed through broad literacy development supported by balanced skills in utilizing and developing computer-based learning systems so that knowledge is built in developing knowledge. itself and the technology in it.
YOLO Algorithm for Detecting People in Social Distancing System

Social distancing is an effort to prevent the spread of the coronavirus. Several systems for monitoring social distancing have been developed. People detection is an essential step in implementing a social distancing system. Failure to detect people causes the social distancing system to be inaccurate. Two people who communicate cannot occur violations of social distancing because one person is not detected. Therefore, we propose a precise person detection method for the social distancing system. The proposed social distancing system uses the YOLOv3 method for people detection and Euclidean Distance for measuring the distance of social distancing. YOLOv3 can detect people's objects precisely, even people who are caught small by the camera. Experiments on two outdoor video datasets result in an F1 value of more than 0.8. This proposed system can serve as a reference for future social distancing research.
Open Text Ontology Mining to Improve Retrievals of Information

Information retrieval is the main task to extract relevant information from documents.Mostly, the information retrieval system is based on the keyword approach to extract the knowledge of relevant documents.The experiment shows the ontology can improve the result to overcome the weakness of keyword approach.Ontology implementation method is based on phrase formation and semantic relationships between words.This study tested 10 Malay documents using ontology to retrieve information.The results obtained were compared with the result obtained from manual information retrieval done by experts for precision and recall measure.In this study, there are three semantic relationships between words that are capable of expressing knowledge in documents.They are taxonomy relationship, attribute relationship and non-taxonomy relationship.The relationship of ontology can be formed by using taxonomy relationships algorithm, attribute relationships algorithm and non-taxonomy relationships algorithm based on the linguistic rules of the Malay language.The result of precision and recall for this experiment shows that the ontology approach can enhance the performance of information retrieval from the relevant documents.
Pixel steganography method for grayscale image steganography on colour images

The process of hiding secret data within a host signal is known as steganography; its design parameters are imperceptibility, concealment capacity, and recovered data quality.A case of images, one of the existing methods based on modification of the host image pixels is called Block Pixel Hiding Method (BPHM), which has good imperceptibility and high-capacity concealment but does not guarantee the quality of the secret image recovered.This article proposes a method that improves results BPHM based on band selection and search algorithm global called Improved Pixel Hiding Method (IPHM).According to the simulations carried out, the results obtained with IPHM are better than those obtained with BPHM.They are similar to one of the more popular methods in imaging steganography known as Quantization Index Modulation (QIM).Steganography is the method of hiding hidden data within a host signal, with imperceptibility, concealment capacity, and retrieved data quality as design criteria.In the case of images, Block Pixel Hiding Method (BPHM) is one of the available methods based on modifying the host picture pixels, which has good imperceptibility and high-capacity concealment but does not guarantee the quality of the hidden picture recovered.Improved Pixel Hiding Method is a method proposed in this article that improves BPHM outcomes by using band selection and a global search algorithm (IPHM).The results obtained using IPHM are better than those achieved with BPHM, according to simulations.They're related to Quantization Index Modulation, which is one of the most widely used picture steganography techniques (QIM).
Experiment in Using Reinforcement Learning in Gaming: The Breakout Game Learning

In this study, we investigated whether a tool such as a game toy can be used as an augmented reality tool, and a system model that can be extended to a game element using wireless communication technology such as Bluetooth and a controllable module. This is an online ship type game using augmented reality technology and wireless communication technology. In addition, the existing game element was extended by applying a smartphone app control module. The existing game method uses the method of playing the game with only limited functions in the same space. This study expands to augmented reality-based games by implementing contents in a way that matches game objects with the grafting of augmented reality technology, and uses various items that emerge as the limit of reality. Therefore, we standardized the size of game objects so that they can be used three-dimension in all spaces on the screen according to the space arrangement such as overlapping prevention, distance, and height, and augmented reality technology was used to allow the game to be played by manipulation of a smartphone. In addition, we propose a system framework-based model that can be applied to various games, and a framework that can implement various augmented reality environments. The augmented reality-based battle game proposed in this study combines a knowledge-based augmented reality system that can be extended to game elements by modularizing the function of a toy through+ a context-aware agent based on context information and an intelligent DB based on domain knowledge.
고등학생 인성교육 프로그램의 적용 및 효과 분석

Purpose: This study is to confirm the effectiveness of the character education program applied to high school students. Methods: The study used a one-group pretest-posttest design with a sample of students aged 15 (n=263, male), the members of eleven 10th grade classes in a high school in Seoul, from March 1st, 2019 to February 28th, 2020. In order to confirm the effectiveness of the program, the Korean Educational Development Institute (KEDI) character questionnaire was used, and a paired t-test was performed using IBM SPSS statistics 25 statistical program. Results: In this study, character levels were significantly higher after the character education program than before. The pre-post differences in character levels were measured for Sincerity (t=5.63, p and were found to be significantly related to improvements in character.
The interaction between support patterns and visual design methods in an electronic training environment and its impact on developing skills for digital content production enhanced for the hearing-impaired and the trend towards digitalization among teache: التفاعل بين أنماط الدعم وأساليب التصميم البصري ببيئة تدريب إلكتروني وأثره في تنمية مهارات إنتاج المحتوى الرقمي المعزز للمعاقين سمعياً والاتجاه نحو الرقمنة لدى معلمي ذوي الاحتياجات الخاصة

The aim of the current research is to measure the interaction between support patterns and visual design methods in an electronic training environment and its impact on developing the skills of digital content production enhanced for the hearing-impaired and the trend towards digitization. The hearing impaired) numbering 60 teachers and teachers, they were divided according to the visual design method, 30 teachers fixed visual design method, and then divided into two groups, according to the educational support pattern based on the support pattern (informational 15 teachers- the procedural 15 teachers), 30 teachers design style Visual animation, they were divided into two groups, according to the type of support based on support (informational 15 teachers- procedural 15 teachers), and the two researchers prepared the following research tools (achievement test related to the content presented- the trend towards digitalization scale- product evaluation card for digital content enhanced for the disabled. Audio), and one of the most important findings of the research is the positive impact of using support patterns and visual design methods with an electronic training environment and the integration between the high level of cognitive achievement and the high level of The techniques for producing enhanced digital content for the hearing-impaired, and the research recommends the importance of focusing on performance skills to train teachers with special needs and note their implementation because of their importance to them after that. In training the hearing-impaired students on the use of appropriate interaction tools in augmented reality-based learning to obtain electronic learning that is commensurate with their learning characteristics.
Password Strength Metre Application

Passwords are considered the most commonly used method of authentication. Unfortunately, weak passwords are known to be the main cause of many cyber attacks. With stronger passwords, it is believed that this first line of defence would be able to reduce the risk of cyber attacks, trespass and information exposure. A password strength metre application was, therefore, developed so that users can try out the passwords of their choice before actually deciding to register them. Although the application contains such information as password entropy, password quality index and password complexity index, the data is presented in a user-friendly way so that it is intuitive to any users.
Implementation of Product Sales Forecast Using Artificial Neural Network Method

Product sales forecasting is used by companies to estimate or predict future sales levels using sales data in the previous year. The Artificial Neural Network Backpropagation Algorithm can forecast the sales of goods for the next period for each item in the company. The forecasting process begins by determining the variables needed in the network pattern, and then the established network pattern continued in the network training process using the backpropagation algorithm. After carrying out the network training process, the researcher comparisons with several network patterns formed. This research was conducted to discuss the forecasting analysis of PT XYZ products on spiral and leaf springs. Forecasting carried out on Toyota 48210-25290 R3 type leaf springs using the Artificial Neural Network Backpropagation method with a learning rate weight value of 0.1 hidden layers four and an error of 0.01. From the data processing analysis that has been carried out based on the weight parameters selected, the prediction of sales in April.