Reviewerly/exHarmony huggingface dataset:
DOP: Discover Objects and Paths, a model for automated navigation and selection in virtual environments

Navigation and selection are the two interaction tasks often needed for the manipulation of an object in a synthetic world. An interface that supports automatic navigation and selection may increase the realism of a virtual reality (VR) system. Such an engrossing interface of a VR system is possible by incorporating machine learning (ML) into the realm of the virtual environment (VE). The use of intelligence in VR systems, however, is a milestone yet to be achieved to make seamless realism in a VE possible. To improve the believability of an intelligent virtual agent (IVA), this research work presents DOP (Discover Objects and Paths), a novel model for automated navigation and selection. The model, by intermingling ML with the VE, intends to augment the maturity of a virtual agent to the extent of human-level intelligence. Using ML classifiers, an IVA learns objects of interest along with the paths leading to the objects. To access any known object, the IVA then follows a mental map of the scene for self-directed navigation. After reaching a proper location in the designed VE, the required object is selected by using the ML algorithms. Extending ML to VR, the model was implemented in a case-study project called Learn Objects on a Path (LOOP). The application, having a maze-like VE, was evaluated in terms of accuracy and applicability by eight users. The results obtained showed that the model can be incorporated into a number of cross-modality applications.
Multipoint Background Analysis for Chemical Dating of Monazite

Journal Article Multipoint Background Analysis for Chemical Dating of Monazite Get access Ji-Qiang Cui, Ji-Qiang Cui State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan, PR China Search for other works by this author on: Oxford Academic Google Scholar Shui-Yuan Yang, Shui-Yuan Yang State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan, PR China Search for other works by this author on: Oxford Academic Google Scholar Shao-Yong Jiang, Shao-Yong Jiang State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan, PR ChinaFaculty of Earth Resources and Collaborative Innovation Center for Scarce and Strategic Mineral Resources, China University of Geosciences, Wuhan, PR China Search for other works by this author on: Oxford Academic Google Scholar Jing Xie Jing Xie Key Laboratory of Continental Collision and Plateau Uplift, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, PR China Search for other works by this author on: Oxford Academic Google Scholar Microscopy and Microanalysis, Volume 25, Issue S2, 1 August 2019, Pages 2364–2365, https://doi.org/10.1017/S1431927619012558 Published: 01 August 2019
A Life of Equations Shifting to a Life of Words

As my technical life diminishes, my writing life increases. Since 2017 I have been writing, first a memoir of my time in the Intelligence Community, then poetry and flash fiction.
PERKEMBANGAN MODUS OPERANDI KEJAHATAN SKIMMING DALAM PEMBOBOLAN MESIN ATM BANK SEBAGAI BENTUK KEJAHATAN DUNIA MAYA (CYBERCRIME)

The development of technology and the internet does not always produce positive things. Negative things that are side effects include the crime of skimming (theft of customer data) which is one type of crime in cyberspace. Lately Indonesia is enlivened with breaking ATM news that occurred in various regions in Indonesia. The customers suddenly lose their account balance due to being burglarized by irresponsible people. ATM piercing technique is known as ATM Skimmer Scan technique. ATM machine piercing (Automated Teller Machine) using Skimmer, which is a customer data thieves. The modus operandi of bank breakers is installing skimmer in ATM mouth. After the customer data obtained, the perpetrator just insert into the ATM card. burglars will freely drain the customer's money. Problems that arise is the development of modus operandi crime skimming in the case of bank burglary bank as a form of cybercrime (cybercrime) And Efforts / Legal Steps in Tackling Crime Use of Information Systems and Electronic Transactions. This research is legal research using conceptual approach and statue approach which will review Law Number 11 Year 2008 regarding Information and Electronic Transaction. Based on the method used, it is known that the modus operandi of criminal skimming in ATM bankruptcy as a form of cyber crime and the application of article in Law Number 11 Year 2008 regarding Information and Electronic Transaction as an effort / step in tackling the crime of Information System Use and Electronic Transactions.
Information technologies as a means of realization of level differentiation of teaching physics in College

This article aims to substantiate and develop a methodology for the use of electronic educational resources for the implementation of level differentiation in the process of teaching physics in College.The implementation of the level differentiation of teaching physics in College will be effective if the learning process is organized using electronic educational resources that will help students to choose an individual educational trajectory.To analyze the effectiveness of the experimental work was carried out in the College, the experiment proved the effectiveness of the level differentiation of training.
The Performance Of English Speaking Skill Used By The Receptionist of Purna Wisata Tour And Travel

The reseach objectives are to know whats ymbols are performed in Lariangi dance and what meaning are conveyed in the symbols performed in Lariangi dance. The research used descriptive qualitative method to take information. The writer obsereved the house in Liya village and took some informations from them and interviewed and documented by using recorded and camera. This research also took the datum from some books, articles, internet which associat with the symbols in Lariangi dance in Wakatobi Southeast Sulawesi. The research resulted in the part of symbols in Lariangi dance start from dress, accessories, movement of the dance and the songs of Lariangi dance. The result of the research was consisted in four part. First, the symbols found in dress there are six namely Kombo Monihi, Kombo Meha, Punto/Wuray Nibelo Biru, Laka/Wuray Meha, Kambero, and Lenso/Saputangan symbolyzes sweat rag of King Buton. The second, there are eight symbols and their meaning found in accessories, namely Panto and Pintoru, Hepupu/Konde, Kamba Konde, Toboy Kamba, Hebindu/Sangi-Sangi, Kalo, Naga, Sekori Keponto Posusu symbolyzes degrees nobility. The third, there are four symbols found in movement of Lariangi dance namely, Hematu kepooli le..le, Pajogi/Nyibing/Ngifi, Nabu/Tau, and Lariangi symbolyzes Lighting. The last is symbols found in song of Lariangi dance there are nine songs namely Mangu-Mangu, Ole-Ole, Doumaraia, Denda Aule, Sailila, Waindi-Indi, Rongande, Jojongana, and Salatu symbolyzes as thankful to Allah SWT.
Impelementasi Model Waterfall pada Media Pembelajaran Pengenalan Angka dan Huruf Berbasis Android

The era of globalization, information technology is advancing rapidly, one of which is the development of interactive animation. Interactive animation technology is now widely used in various industries, such as advertising, education, tourism, entertainment, and so on. In the world of education, interactive animation can be applied as an effective learning medium. In the preparation of this study, the authors used the Waterfall model to design the system and to design learning media using Adobe Flash Professional CS6 which is considered very suitable in making interactive animation-based learning media. The Waterfall Model, is the most familiar system model and is widely used in designing interactive animation-based applications. In making interactive animation-based learning media can increase learning interest and students' attention to the introduction of numbers and letters and kinds of sounds and images. In addition, students can also learn while playing and train to recognize numbers and letters, with varied images. Respondents in this study consisted of teachers and students. The results of this study 80% stated that this learning media was easy to use, 90% said that respondents liked the application of media learning to recognize numbers and letters based on interactive animation, 70% of respondents said they learned to recognize numbers and letters that were fun. Besides this interactive animation-based learning media helps train students to recognize numbers and letters, with diverse images, and can also facilitate teachers in training students at school.
Probabilistic Robust Multi-Agent Path Finding

In a multi-agent path-finding (MAPF) problem, the task is to find a plan for moving a set of agents from their initial locations to their goals without collisions. Following this plan, however, may not be possible due to unexpected events that delay some of the agents. Guaranteeing that collisions will never occur may be impossible. An important task is to find a plan that is very likely to succeed, even though unexpected delays may occur. We propose an algorithm for finding a plan in which the probability that no collisions will occur is at least a given parameter p (p-robust plan). We show that finding an optimal p-robust plan is significantly more difficult than finding an optimal standard plan. As a practical solution, we propose a greedy algorithm based on the Conflict-Based Search framework. Our experiments show that it finds p-robust plans with cost that is relatively close to the optimal cost of the standard, non-robust plans.
School Operational Effectiveness Analysis Web Based Event System with Dynamic Systems Development

School institutions in Batam have problems in how the events they conduct can support the school's operational effectiveness. The solution model for these problems is to build web-based event systems using the dynamic systems development (DSDM) method. This system aims to solve problems that occur in event scheduling at activities carried out at school institutions in Batam. The school representative used is a school in Batam. The method is done by learning and the feasibility of case studies, model functionality, design, and implementation. This implementation produces a system that is very helpful in processing data and reports during the event. Starting from the registration of the event, the continuity of the event, until the completion of the event, all can be stored in detail. Besides users, there are also managers and administrators. Managers have a role to manage the data entered by registrants, while administrators give access to each user account and maintain system security. This system is divided into 2 roles with one as a user and one acting as an administrator. Registrants to participate in this event act as users. The results of this study are that school operational effectiveness increases after implementing this web-based event system.
Adaptive Contents Distribution Based on Traffic Congestion on Digital Signage System

Current technological developments have been very rapid. One of them is the many choices of technology and media to deliver information to the public. Digital Signage is one of the most popular information delivery systems today, displays on digital or electronic media, and it can convey new details. The information usually showed in the form of advertising content in the format of images or videos. Ad content displayed is static, meaning that the ad content will be display in the order specified. This system usually placed next to a broad road. A place that is considered to have a broad audience and requires a significant amount of money to display ad content. However, this causes ad content owners who do not have enough costs not to be able to show the ad content in a particular place. Therefore, this research makes the content management system adaptive to road congestion situations which represented as audience quantities so that the costs can be adjusted. Data is obtained from the Google Maps API and analyzed the traffic congestion by conducting experiments. The compatibility between density and content after testing the results in 100% accuracy.
Reading Aloud Activity in ESP Class in the Perspectives of Students

Many studies have contradicted the reading aloud with silent reading instruction in EFL classroom. However, each viewpoint has its own arguments. Those in support of a silent reading claim that there exists psycho logical involvement in the mind of each reader and any written content. Through silent reading activity, students are trained to grasp the meaning of the text as int ended by the writer. On the other hand, the power of reading aloud cannot be seen as simplistic. Some believe that out loud reading instruction aid students to acquire new words and correct pronunciation, and comprehend language forms and mechanics, especially those with low English p roficiency. The students of Business Administration Department, State Polytechnic of Malang learn English as a foreign language in their ESP class. However, they still have insufficient English proficiency. In their English class, the reading aloud activity has been practiced as a method of instruction.On the basis of the above-mentioned background, this study intends to obtain the perspectives of students towards reading aloud activity in their ESP class. The problems of the study include (1) students’ viewpoint toward the benefit of reading aloud activity; (2) whether students feel any improvement in their English and aspects of the improvement; and (3) sorts of problems they encount er when dealing with reading aloud. The data are analysed qualitatively. The findings indicate that the students view a lot of benefits in reading aloud activity as it is building their self-confidence, recalling vocabulary, improving pronunciation, and managing pace and intonation in their reading.
Research on Autonomous Face Recognition System for Spatial Human-Robotic Interaction Based on Deep Learning

Face recognition which is of few advantages such as natural and non-contact to realize fluent interaction and cooperation between human and robot, has been one of important and common issues in the fields of computer vision and biometrics identification. However, the achievement of face recognition also meet few issues such as disturbances or variations in facial expression, pose, shade and environmental illumination to solve. For this reason, an autonomous face identification system based on deep learning is proposed in this article, which should be divided into 4 stages. Firstly, RGB-D images including one or more faces are captured by Kinect v2. Secondly, an algorithm of multi-view faces detection has been proposed by introducing candidate regions after filters of local binary Haar-like feature into Multi-layer perceptron (MLP) in order to obtain every candidate face area. Thirdly, typical face feature points such as left eye, right eye, nose tip, left corner of the mouth and the right corner of the mouth are located and aligned by Stacked Auto-Encoder (SAE) accurately. Finally, VIPLFaceNet has been applied to identify the similarity and difference between the image to be determined and any template in the face image database. Experimental results have shown that the proposed system not only can detect multi-faces belonging to different persons, but also could achieve well identification results with the correctness of no less than 70% regardless of few disturbance of pose, expression and illumination.
STYLISTIC AND PHILOSOPHICAL MAINTENANCE OF EPISTLES OF A. VON DROSTE-HULSHOFF

stylistic AnD PhilOsOPhicAl mAintenAnceOf ePistles Of A. vOn DrOste-hulshOff summary.The article observes stylistic and philosophical maintenance of Anette von Droste-Hulshoff epistles, whose poetry is unjustly little-known not only to a wide range of readers, but even to philologists.Annete's poetry is marked by acute problematic of it's time, which does not loose its topicality novadays.A number of verses from a cycle written by A. von Droste-Hulshoff has been chosen for analysis and the problematic of each is to be defined.The main topic of each chosen verse is love feelings.Although A. von Froste-Hulshoff is not well-known author her works are worth reading.In her works she doesn't just show love feelings -she shows a range of emotions and different kinds of love.But what is important, that in the centre of any plot is the woman, whose life is not easy and who has to make a difficult decision.Since a large number of works are poems-appeals, they have a significant number of rhetorical questions ("Wie sollte mir das Herz nicht pochen?", "Ist
The Effect of Speed Reading on Students’ Reading Comprehension

This research investigated the effect of speed reading on students’ reading comprehension. The writer used quantitative as the research method and used the quasi experiment as a research design. The writer used experimental class to imply the speed reading method and control group for the other technique in teaching reading. For collecting the data the writer gave the pre – test for experimental and control group, then administrated the treatment for experiment class , finally the researcher administrated the post – test to find out the improvement of speed reading method for the student . Based on the writer interpretation it is concluded that hypothesis is accepted.it is suggested that the teacher should imply the speed reading method in teaching reading because research finding proved that speed reading gave more improvement in reading comprehension that the other technique in teaching reading and the speed reading method was more interesting than conventional method.
THE STUDY OF MIGRATION FROM MYSQL TO NEWSQL DBMS TARANTOOL.

This work presents a description of the complete migration from MySQL to NewSQL Tarantool DBMS using the certain pattern of data base structure.Also we have given the general conception and description of each DBMS, reviewed analogues among DBMS.We have implemented specific schemes and functions for working with a database using both technologies.Based on comparative analysis of the speed of work conclusions were made about the effectiveness.
Open Community Education Model Based on Internet of Things and Intelligent Technology

With the continuous development of the Internet of Things technology, the educational model of the open community has undergone major changes, so it is necessary to conduct model analysis in light of the actual situation. This paper firstly investigates the learner’s learning style, and then builds a model based on the learner’s learning style based on the research results. Moreover, this topic provides the research basis for personalized learning services. In this research, the main work is as follows: First, according to relevant theories and standards, the learner style recognition model and the learning strategy recommendation model are established, and the service-oriented architecture is used to build the system. The second is to identify the model based on the established learning style.
Technical, Hard and Explainable Question Answering (THE-QA)

The ability of an agent to rationally answer questions about a given task is the key measure of its intelligence. While we have obtained phenomenal performance over various language and vision tasks separately, 'Technical, Hard and Explainable Question Answering' (THE-QA) is a new challenging corpus which addresses them jointly. THE-QA is a question answering task involving diagram understanding and reading comprehension. We plan to establish benchmarks over this new corpus using deep learning models guided by knowledge representation methods. The proposed approach will envisage detailed semantic parsing of technical figures and text, which is robust against diverse formats. It will be aided by knowledge acquisition and reasoning module that categorizes different knowledge types, identify sources to acquire that knowledge and perform reasoning to answer the questions correctly. THE-QA data will present a strong challenge to the community for future research and will bridge the gap between state-of-the-art Artificial Intelligence (AI) and 'Human-level' AI.
TREN KEPENULISAN PUBLIKASI PENELITIAN INDONESIA PADA JURNAL SCOPUS

This study discusses the trend of authorship publication research indonesia indexed journal Scopus. The focus of this research is divided into four parts, namely the institution of a productive institutions, or the distribution of the subject of the research results, productive author, and the percentage of the productive author indexed journal Scopus. This research method using a Sistematik Literature Review approach to the consisted of three stages, namely planning the review (problem identification), conducting the review (the collection, selection and synthesis of data) and reporting the results of the analysis (review the discussion). The results of this research is divided into four parts based on index Scopus. First, the institution or institutions productive is the Bandung Institute of technology as much as document 10029. Second, the distribution of the subject of the research is the largest Engineering. Third, the productive author was Munir, A. as much as 217 documents. Fourth, the percentage of the author's productive is in the Education category, University/Institute of 77%).
Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy

Previously proposed variational techniques for approximate MMAP inference in complex graphical models of high-order factors relax a dual variational objective function to obtain its tractable approximation, and further perform MMAP inference in the resulting simplified graphical model, where the sub-graph with decision variables is assumed to be a disconnected forest. In contrast, we developed novel variational MMAP inference algorithms and proximal convergent solvers, where we can improve the approximation accuracy while better preserving the original MMAP query by designing such a dual variational objective function that an upper bound approximation is applied only to the entropy of decision variables. We evaluate the proposed algorithms on both simulated synthetic datasets and diagnostic Bayesian networks taken from the UAI inference challenge, and our solvers outperform other variational algorithms in a majority of reported cases. Additionally, we demonstrate the important real-life application of the proposed variational approaches to solve complex tasks of policy optimization by MMAP inference, and performance of the implemented approximation algorithms is compared. Here, we demonstrate that the original task of optimizing POMDP controllers can be approached by its reformulation as the equivalent problem of marginal-MAP inference in a novel single-DBN generative model, which guarantees that the control policies computed by probabilistic inference over this model are optimal in the traditional sense. Our motivation for approaching the planning problem through probabilistic inference in graphical models is explained by the fact that by transforming a Markovian planning problem into the task of probabilistic inference (a marginal MAP problem) and applying belief propagation techniques in generative models, we can achieve a computational complexity reduction from PSPACE-complete or NEXP-complete to NPPP-complete in comparison to solving the POMDP and Dec-POMDP models respectively search vs. dynamic programming).