Reviewerly/exHarmony huggingface dataset:
Distributed ATrie Group Join: Towards Zero Network Cost

The combination of powerful parallel frameworks and on-demand commodity hardware in distributed computing has made both analytics and decision support systems canonical to enterprises of all sizes. The unprecedented volumes of data stacked by companies present challenges to process analytical queries efficiently. This data is often organised as star schema, in which star join and group-by are ubiquitous and expensive operations. Although parallel frameworks such as Apache Spark facilitate join and group-by, the implementation can only process two tables at a time and fail to handle the excessive network communication, disk spills and multiple scans of data. In this paper, we present Distributed ATrie Group Join (DATGJ), a fast distributed star join and group-by algorithm for column-stores. DATGJ uses divide and broadcast-based joining technique where the fact table columns are partitioned equally and fast hash table (FHT) for each dimension table are broadcasted. This technique helps it avoid cross communication between workers and disk spills. DATGJ performs a single scan of partitioned fact table columns and use FHT to join data. FHT uses Robin Hood hashing with the upper limit on number of probes and achieve significant speed up during join. DATGJ performs group-by and aggregation leveraging progressive materialisation and realising grouping attributes as a tree shaped deterministic finite automation known as Aggregate Trie or ATrie. We evaluated our algorithm using Star Schema Benchmark (SSBM) to show that it is 1.5X to 6X faster than the most prominent approaches while having zero data shuffle and consistently perform well with addition of resources and in memory-constrained scenarios.
근대 한국의 교과서 검정 제도 성립과 수신교과서 검정 ― 『보통학수신서』 검정 청원본 분석을 중심으로 ―

The Residency-General of Korea has established and implemented a new policy in order to secure the education of Korea, which became the ‘protectorate’ of Japan. In 1908, the enactment and promulgation of the “Regulations on Textbook Inspection” was also intended to control the school education and the contents of education through the textbook inspection and censorship.The policy to control the textbooks used by schools was implemented in Western countries as well as in Japan and Ching China at the modern education. The state or government tried to intervene actively with textbooks that have a direct influence on education implementing textbook inspection or government published textbooks.In this study, after analyzing the inspection copy of “Pot''onghak susinso(Ordinary Ethics)” which was censored with “Regulations on Textbooks Inspection”, the followings were found out.First, the textbook inspection was conducted actually according to the procedure of the regulation after the “regulations on textbook inspection” was promulgated.Second, the censors who were in charge of the inspection, censored the contents of the textbook in accordance with the standards of social and political as well as educational aspects. And most revision requests only as an expression appear to have applied educational standards considering.However, as a result of examining the original texts of the textbook that demanded correction or deletion, the contents of the society, the country, patriotism, loyalty, duties and rights of the people took a lot of points.In the process of inspecting the textbooks by department of education, practically residency-general, it applied social and political criterion such as “to assert independence and to restore national rights,” “to make uncomfortable expressions for nationalism and deontology,” “to inspire partiotism” to the textbook and did not authorize the publishing of “Pot''onghak susinso(Ordinary Ethics)” judged to be problematic in these standards.
Rain Removal from images based on Computer Vision and conditional Generative Adversarial Networks

Abstract In view of the quick development of modern computer technology, more pictures of natural scenes have been collected and analyzed for application in military fields, scientific research, and computer vision fields related to object detection. However, the sharpness of these pictures collected will be affected by rain and snow, which will reduce the visibility of things in the pictures. This will not only affect the viewing, but also affect scientific research fields such as autonomous driving and video surveillance. Therefore, the research on image rain removing is very practical. An improved algorithm model named pixel-GAN is proposed in this article, which based on conditional Generative Adversarial Networks (cGAN). This new method regards the problem of removing rain from specific images as the style conversion problem. What we improved is that a VGG-16 module is added to the original network to extract perceptual loss as a new part of the loss function. We show the excellent rain-removing ability of the improved algorithm and also illustrate the reason why we add the perceptual loss. Compared with other existing methods, there is no need to set a prior model, the training speed is faster and the proposed model finally generates higher quality pictures.
Towards the Design of Effective and Interactive Experience for Virtual Reality Videos

With the fast development of VR hardware, as well as the related technique support (e.g. 5th generation mobile networks), VR applications are getting popular in recent years. In this paper, we discuss and analyze the requirement and issues of the VR video playback, and proposed a VR video player design. We reported current VR video player design challenges and propose the possible design considerations and solutions. We then present the detailed design and implementation of video selection, preview and playback.
Performance Evaluation of English Part-of-Speech Tagging Based on Typical Parameter Smoothing Algorithm

Abstract Part-of-speech (POS) tagging for English is the basis for implementing English automatic correction. Although researchers have done a lot of useful studies on English POS tagging, most of them are aimed at users with English as the first language, while studies for users with English as the second language are few. For this purpose, manual tagging is performed based on the typical parameter smoothing algorithm. On this basis, a performance evaluation method for English part-of-speech tagging is proposed, which integrates the features of term clustering, non-tagged corpus statistics, word pronunciation, etc. The experimental results show that the algorithm can improve the performance of POS tagging effectively, with the tagging accuracy improved from 94.49% to 97.07%
Early Childhood Degree Students as Digital Software Designers Based on 21<sup>st</sup>-Century Learning Skills

Abstract This study is an early analysis of the ability of IPGKSM’s early childhood education PPISMP educator to become a multimedia courseware designer. The student’s ability was tested only through digital material production workshops over a limited period of time. Analysis of these findings is divided into three important stages; an early perspective of multimedia technology learning, basic technology learning (digital image manipulation), advanced multimedia technology learning (interactive interface design and visual programming). 6C Skills is a skill that is included in the skills needed in 21 st -century learning skills. Two 6C skills tested in this study are creativity and critical thinking. The findings show that educators are capable of designing multimedia software if given space and opportunity.
A Fault-Based Testing Approach in Safety Critical Medical Systems

The advent of technology has opened unprecedented opportunities in health care delivery system as the demand for intelligent and knowledge-based systems has increased as modern medical practices become more knowledge-intensive.As a result of this, there is greater need to investigate the pervasiveness of software faults in Safety critical medical systems for proper diagnosis.The sheer volume of code in these systems creates significant concerns about the quality of the software.The rate of untimely deaths nowadays is alarming partly due to the medical device used to carry out the diagnosis process.A safety-critical medical (SCM) system is a complex system in which the malfunctioning of software could result in death, injury of the patient or damage to the environment.The malfunctioning of the software could be as a result of the inadequacy in software testing due to test suit problem or oracle problem.Testing a SCM system poses great challenges to software testers.One of these challenges is the need to generate a limited number of test cases of a given regression test suite in a manner that does not compromise its defect detection ability.This paper presents a novel five-stage fault-based testing procedure for SCM, a model-based approach to generate test cases for differential diagnosis of Tuberculosis.We used Prime Path Coverage and Edge-Pair Coverage as coverage criteria to ensure maximum coverage to identify feasible paths.We analyzed the proposed testing procedure with the help of three metrics consisting of Fault Detection Density, Fault Detection Effectiveness and Mutation Adequacy Score.We evaluated the effectiveness of our testing procedure by running the suggested test cases on a sample historical data of tuberculosis patients.The experimental results show that our developed testing procedure has some advantages such as creating mutant graphs and Fuzzy Cognitive Map Engine while resolving the problem of eliminating infeasible test cases for effective decision making.
INTERAQUATICA - Designing Interactive Aquatic Experiences with Geodesic Domes In-the-Wild

While HCI remains vastly abundant in human- and land- centric applications, in this work we focus on exploring further the Human Computer Biosphere Interaction (HCBI) concept in aquatic settings. Based on the existing techniques for prototyping the geodesic domes, we design them as five marine megafauna species, for the on- and off- shore locations. We describe novel interaction concepts with and within such structures: (i) Turtle AR nesting, (ii) Bird XR watching, (iii) Dolphin acoustic swimming, (iv) Seal night scuba-diving, and (v) Whale projection mapping. We report the design of such interaquatic environments, focused at depicting the ongoing concerns with such marina megafauna species, discussing their feasibility, suggesting research, implementation and validation for all interaquatic domes, planned in our future work.
The Archiving Data Pool Research of Intelligent Manufacturing Oriented to Impeller Design

Based on the analysis and understanding of impeller structure and function, combined with the data information in the process of design and intelligent manufacturing, the content and characteristics of data information are analyzed, and the current research status of impeller design is summarized. The data information of the whole life cycle of impeller is taken as the research object. The characteristics and functions of the data pool are analyzed. The second development is carried out for the design of the impeller by combining with the three-dimensional software UG. The archiving data pool for the intelligent manufacturing of impeller is designed, and the overall framework of the archiving data pool of impeller is constructed. The data fusion of archive data pool is achieved by Java, hive and other components and modules to build Hadoop platform, such as data index search, data filtering, data extraction and other fusion functions. A large number of data generated in the process of impeller design and intelligent manufacturing can be processed, analyzed and extracted more clearly to achieve the purpose of data processing. These researches not only play an important role in data storage and processing, but also have great significance in improving the efficiency and accuracy of impeller design and intelligent manufacturing.
TLS-Regularization Framework for Target Tracking under Perturbations

Perturbation in discrete dynamic systems (e.g., a manoeuvring aircraft, an autonomous vehicle having frequent lane change or turning, etc.) makes the linear tracking filter(e.g., Kalman Filter (KF)) sub-optimal. The existing robust filters such as Ridge-based KF (Ridge-KF), Tikhonov-based KF (TRKF), and minimax algorithm perform enhanced estimation under low and moderate perturbations only. The investigation of severe perturbation for multi-degree of freedom (m-DOF) motion of manoeuvres is carried out in this research article. The severity of perturbation due to m-DOF motion makes the observation matrix ill-posed for the tracking filters. To enhance the estimation performance (in terms of root means square error (RMSE)), we propose a novel algorithm called TLSKF. It offers much-improved performance than KF, Ridge-KF, and TRKF under high perturbation for estimating state parameters (position, velocity, etc.). Further, TLSKF approaches to KF at extremely low perturbation. The improvement in the RMSE enhances the tracking resolution of the radar. The comparison with existing literature is also strived to justify the novelty of the proposed algorithm.
Feature Retrieving for Human Action Recognition by Mixed Scale Deep Feature Combined with Attention Model

In order to capture actions with different speed and range motions, a feature retrieving method with mixed scale deep feature and visual attention model is proposed. First, space and time network of a dual-stream deep neural network are taken to receive original video frames and optical flow images with different sampling steps respectively. Secondly, attention model is introduced into long-short-term memory networks to screen out visual attention areas in classification stage. Finally, the results of the space and time networks are fused together. Experimental results on datasets HMDB51 and UCF101 show that the proposed approach achieves higher recognition accuracy.
A technique for non-contact identification of liquids in closed containers using microwave planar metamaterial

At present, the fast non-contact identification of liquids is a real-life task for security systems and quality testing of various drinks. The possibility of identifying liquids in containers using a technique based on two oppositely connected planar photonic crystals (PPCs) with microwaves was experimentally demonstrated. The influence of the thickness of the container's walls, the container's diameter, and the inclination angle of the container axis relative to the plane of the planar photonic crystal on the reliability of the non-contact identification of liquids was experimentally investigated. The minimum change in the concentration of aqueous solutions of ethyl alcohol, sugar, and food salt that could be reliably distinguished in solutions was defined. For liquids containing water in thin plastic containers, the optimum operating frequency band (about 2 GH to 4 GHz) of the experimental setup for their identification was found. The maximum thickness of the container wall at which the required reliability of the identification of liquids was achieved was evaluated for several selected operating frequencies. The possibility of non-contact analysis of not only aqueous solutions of ethyl and methyl alcohol, but also of their mixes, was experimentally shown. The developed technique for fast non-contact identification of liquids can be applied for food quality control, security systems, and chemical technologies.
Integrated network of sensors for healthcare monitoring

Modern medical science has considerable technical advancement to measure the vital physical parameters of human body, but they don’t have the required intelligence to monitor continuously without human interference. We have modelled a device to monitor the physical parameters of a human body which will especially be of great use to bedridden patients and for persons whose parameters are to be periodically monitored for health concerns without any other human intervention where voice alerts services are incorporated.
On the modeling of the new student acceptance status through science and technology written test using bernoulli mixture model

Abstract This research aimed to model StudentAcceptance Status at the Sepuluh Nopember Institute of Technology (ITS) through the written test of science and technology, using Bernoulli Mixture Model in order to evaluate the new student acceptance status. BMM distribution was established based on the comparisonbetween the students’ scores of the basic abilities, namelyMathematics, Physics, Chemistry, and Biology which correspondedto the majors they had chosen, combined with the Student Acceptance Status (0 and 1). This combination generated two components of Mixture, namely right or wrong. The characteristics of each component were then identified through BMM by involving the covariates of Student Acceptance Status, namely the basic ability test and the scholastic test. The combination of Markov Chain Monte Carlo with the Gibbs Sampling algorithm was employed to estimate the parameters used in this research. This method was applied to the data of prospective students who registered in ITS through written test of science and technology. This research result showed the estimated parameters and the formed model of BMM.
Complete solutions of particle in three dimensional box with variations in main quantum number

Abstract Particle in a box is one of the applications of the Schrodinger equation. Schrodinger equation gives wave function which is used to determine the probability and expectation value of particle in a box. It is also can explain the energy levels of the particle. This study aimed to determine the probability, expectation values, and energy levels of a particle in a three-dimensional box with variations in main quantum numbers in each coordinate axis. The magnitude of the wave function and energy levels are influenced by the main quantum number and the width of the box. The results show that variations in the main quantum number influence the probability of particle in the three-dimensional box except for the width of the box <?CDATA $\frac{L}{2}$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mfrac> <mml:mi>L</mml:mi> <mml:mn>2</mml:mn> </mml:mfrac> </mml:mrow> </mml:math> and L the probability of particle showing the same value in all variations of the main quantum number. Variations in the main quantum number also influence the expectation value of particle in a three-dimensional box except for the width of the box L the expectation value shows the same value in all variations of the main quantum number. All variations of the main quantum number also influence the magnitude of the energy level of the particle.
Applications of Type-2 Fuzzy Sets with Set Approximation Approaches: A Summary

Although fuzzy control technique has been widely developed in main scientific applications and engineering system, a challenging research problem how to design the appropriate parameters of fuzzy controller in the different applications still has drawn attention of researchers in various fields. Two approximating-based methods included in this paper are summarized from our previous work. One is that the parameters of Gaussian membership function can be approximately calculated when the range and mean of the input data are given. Another is that a best crisp approximation of fuzzy set can be calculated such that an interval type-2 fuzzy set can be reduced to a type-1 fuzzy set.
Automatic restoration of diacritics based on word n-grams for Slovak texts

In the past and even now, many people still write texts without diacritics, especially in chat messages, e-mails or discussion posts. This issue evolved from historical reasons when people had a problem with text encoding in messages or wanted to write them faster. In this paper, we propose an algorithm based on word n-grams (contiguous sequence of n words) that restore diacritics of text written in the Slovak language. We also compare and evaluate our results with existing algorithms developed for Slovak texts.
MEDIA PEMBELAJARAN M3 (MEMBACA, MENULIS, MENGHITUNG) BERBASIS MULTIMEDIA UNTUK ANAK USIA DINI

Kindergarten Education (TK) is a form of early childhood education, namely children aged four to six years. The purpose of kindergarten education is to lay the foundation towards the development of attitudes, knowledge, skills and creativity needed by children to adjust to the environment and their subsequent development into a literacy and numeracy school. To develop basic abilities of early childhood in reading and reading required interesting methods and make children interested in learning, so many books are available in bookstores with various colours and interesting shapes, but sometimes they also need to hear how to pronounce and hear what they learn independently. To develop their interest in learning independently in reading, writing and counting can be done by creating an M3 learning media application (reading, writing, counting) that they can access on a smartphone, with this learning media can make it easier for them to remember what they have heard and seen when accessing these learning media when playing Smartphone.
Energy Saving Strategy of Power System Cluster Based on Container Virtualization

With the continuous development of power grids, the scale of supercomputing clusters has also gradually increased to carry a large number of power system simulation calculations, and the problem of high energy consumption has appeared. To solve this problem, we propose a container virtualization-based supercomputing cluster for power system. We analyze the impact of containers on power simulation calculations and compare the energy consumption effects of various container scheduling and migration algorithms on clusters. Experiments show that compared to virtual machines with hypervisor, which consumes massive resources and reduces performances by 28.4%, the performance degradation of container on power simulation calculation is 1.3%, which can be ignored. The energy consumption of load-concentration or resource-and-load-balance container scheduling algorithms is up to 4.0% lower and at least 2.2% lower than other algorithms. In container migration, the method combining autoregressive model with most-correlation and resource-andload-balance algorithms is better than other methods, which not only minimizes energy consumption, but also has lowest number of migrations and SLA violations. Experiments verify the feasibility and advantages of container migration in power system computing clusters.
Influence of Ancient Chinese Literati’s Autumn Melancholy on the Tale of Genji Considering Computer Data Analysis Technology

Abstract As the most representative work of Japanese classical literature, the Tale of Genji can be referred to as a tragedy classic. Its description of the scene of “Things” is complex and vivid. The changes of external things induce fluctuation of subjective feelings and thoughts of people. To explore the autumn, one of the seasons in the Tale of Genji, the author exects to further understand how the main character’s deep sorrow and nostalgia are shown in the volume Emperor Kiritsubo through the depiction of autumn scenery.
A New Data Hiding Technique for Surveillance Applications

Technologies in the Internet of things (IoT) field are advancing fast. Soon, IoT is expected to connect billions of devices through out the world [1]. IoT promises to connect everything from medical devices, smart cities, and smart home products to smart enabled vehicles, CCTV cameras, surveillance cameras, and many more devices. Accomplishing this connectivity will revolutionize our lives by getting enhanced customer service, better efficiencies, more products in strong markets and sectors, and more operative services. IoT can be utilized in many applications that involve videos such as IoT surveillance cameras, CCTV, etc. Data streams can be used to embed secret data digitally (steganography).