Reviewerly/exHarmony huggingface dataset:
Virtual Exercise Trainer using Sensor-based and Interactive Smartphone Application Technology

The use of electronic monitoring instruments in conventional exercise training equipments has had a positive influence on user interest level, subsequently increasing the overall exercise experience and performance. Accordingly, the most beneficial results of any exercise are obtained when an individual is given a specific, easily understandable performance target, is informed of the exercise progress, and is given verbal motivation, coaching, encouragement, and instruction. However, conventional electronic monitoring instruments do not serve to directly motivate or coach the individual to complete an exercise program. Moreover, such a device is of limited use in non-cardiovascular, strength training exercise equipment (e.g free weights and isometric exercises). The present invention responds to this problem by providing a smart motion sensor magnetically retrofittable into exercise apparatus such as a dumbbell, or as part of a piece of exercise equipment, such as a metal handle of exercise equipment that undergoes reciprocal movement. This sensor will continuously transmit a signal to an application in user’s smart device, which then correspondingly generated guided instructional, interactive feedback as well as motivational visual and audio output with respect to various physical exercise a user might undertake. The development of such a practical exercise system would certainly help the active individual, clinical population, athletes, aging and sedentary population to implement a more effective, interactive and safer exercise training regime.
PMA LibGuides: Provenance Research: Home

This guide is intended to introduce you to the basic tools and many types of resources that will help you get started in your quest to learn the story of an an artwork.
PENERAPAN METODE BimCaBel JPBB (JANGAN PERNAH BERHENTI BERTANYA) UNTUK MENINGKATKAN PRESTASI BELAJAR SISWA

The purpose of this study is to improve student achievement in grades VIII 2 and VIII.3 in the odd semester of the 2019/2020 academic year through the JPBB BimCaBel method. This research activity was carried out at Tanete Riaja Middle School 2 with the target class of action being students of class VIII, namely classes VIII.2 and VIII.3. Class VIII students who are targeted in this activity are students who have many challenges in terms of different student learning styles. The research procedures including data analysis used in this research activity is to use comparative analysis through 2 action cycles. The results of the study showed that students showed a better or improved level of mastery of the material using JPBB learning techniques and besides that it showed an optimistic and confident attitude that would support their success in their current and future educational processes.
High Speed Error Log Control Method in In-memory Cluster Computing Platform

Since 2010, in-memory cluster computing platform has been increasingly used in firms and research institutions to analyze large amounts of datasets within a short amount of time. In these methods, unexpected errors cause the load to exceed the assumption for computer infrastructures such as a monitoring system, owing to the execution of multithreading, assigning divided datasets to multiple nodes, and storing them in in-memory spaces. In this research, we propose a method that notifies administrators with only information needed to understand the situation in a short period by eliminating duplications of numerous application error logs for that period and clustering messages using an unsupervised learning k-means method with an in-memory cluster computing framework “Apache Spark.” By implementing this method, we can demonstrate that it is possible to eliminate duplications of error messages by 93% on an average compared with conventional methods. Further, we can extract significant messages from the application error messages and notify the administrators in an average of 4.2min from the time of occurrence of the error.
The Effectiveness of Three-Layered Web Application for Resolving Security Issues

In the current research effort, it was found that despite the several countermeasures against the proposed attack on the Internet, there are still ongoing threats and attacks. Of the reasons that have led to organizations run on the edge of a sword and since they have immense competition it is necessary that they have fool proof security. This can only be possible if suitable measures are taken for the security of the information and sensitive data that they have .The study highlight what are the major flaws in the architecture of the web applications that must be considered by the web developers and identifying the appropriateness of the three-tiered web applications for developing security and providing confidentiality to the operations carried in different organizations. This study hence is expected to gain insights about the effectiveness of the web architectures (three-tiered web application in particular).We will take up the qualitative method of analyzing various articles that are available on the topic, The methodology adopted for the research will be a case study rather than the survey or observational as that is not applicable to the nature of the topic under study.Therefore, the overall findings will help the web developers decide the best architecture of web applications that can enable the firms adopts browsers.Finally, the result is achieved that threetiered web application tends to provide the highest amount of security across the three structure of the organization.It has the potential to provide security to the information and data which is stored and retrieved in the organization across the functioning of the organization.
Audio Encryption Scheme based on Pseudo-orbit of Chaotic Map

Chaos-based encryption uses a chaotic dynamic system to encrypt a file. The aim of this study was to investigate the use of the chaotic Cubic Map to encrypt data, in particular, audio files. A simple algorithm was developed to encrypt and decrypt an audio data. The effectiveness of the method was measured by means of the correlation coefficient calculation, spectral entropy and also by comparing waveforms. The measurements were shown to lead to satisfactory confusion levels of the original data, within a few seconds. This indicates that the Cubic Map can be used as a source for encryption keys, with as good or better security indicators when compared to other schemes.
WRITTEN SPEECH ACTS FOUND IN ADVERTISEMENTS ON INDONESIAN ONLINE NEWS WEBSITES

This study attempts to help senior high school English teachers in developing their teaching material about advertisement, which is included in the state mandated curriculum. Having analyzed 20 advertisements, we found two types of speech acts, namely representatives and directives. The representative acts used were 59% and directive acts were 41% of the data. The advertisement strategy in Indonesia utilized representative acts, which intended to highlight the good quality of the products or services, whereas, the use of directive acts was situational since it is usually preceded by the appearance of representative acts. Since both speech acts frequently appeared in the advertisements on Indonesian online news websites, we recommend that teachers should provide exposures toward the linguistic features, which support students’ ability to produce advertisement texts containing representative and directive acts.
Baseline Study About Discipline Practice In Schools Papua And West Papua Province

Study baseline on discipline practice in school conducted as a strengthening reading and writing education in pre-school students in the edged and isolated area in Papua and west Papua province.The improving quality result of reading and writing that students achieved is not only through teachers skills improvement in teaching reading and writing, but also by creating school environment which is save and free from children abused.The aimed of study baseline is to give discipline practice that applied by teachers in school.And also about teachers and students viewed about punishment.The sample data consisted of teachers, headmasters, and students.Teachers and headmasters as the practitioners who used the punishment to control the students' behavior.Students as the important elements in this study because they were the ones who felt the impact of giving punishments to create disciplinary in school.The pre-school teachers who involved in this study.The students who involved as repondents in this study was the students in first grade until third grade.One-third students of the total students who was presented when this study conducted was chosen as the respondents.The selected schools were 6 schools from 20 basic literacy schools model program in Biak Numfor regency, Jayawijaya, Manokwari, and Mimika.Data collection was done by researched and interviewed to the teachers and headmasters was conducted by Focus Group Discussion (FGD), and the students was done by asking teachnique 'find out'.Study results showed that teachers still wrong in interpreting discipline and equated as punishment.Teachers responded on students' negative behavior (Misbehave) in hard ways, embarrassing, and harassing.Teachers continuesly became angry/ punished the students even only for little mistakes.
Goal Recognition over Imperfect Domain Models

Goal recognition is the problem of recognizing the intended goal of autonomous agents or humans by observing their behavior in an environment. Over the past years, most existing approaches to goal and plan recognition have been ignoring the need to deal with imperfections regarding the domain model that formalizes the environment where autonomous agents behave. In this thesis, we introduce the problem of goal recognition over imperfect domain models, and develop solution approaches that explicitly deal with two distinct types of imperfect domains models: (1) incomplete discrete domain models that have possible, rather than known, preconditions and effects in action descriptions; and (2) approximate continuous domain models, where the transition function is approximated from past observations and not well-defined. We develop novel goal recognition approaches over imperfect domains models by leveraging and adapting existing recognition approaches from the literature. Experiments and evaluation over these two types of imperfect domains models show that our novel goal recognition approaches are accurate in comparison to baseline approaches from the literature, at several levels of observability and imperfections.
The response of nature tourism visitor using virtual reality application in cilacap regency of Indonesia

Cilacap is a regency in Central Java Province of Indonesia. It has a very rich and diverse nature tourism potential such as beaches, forests, reservoirs, rivers, and waterfall. They managed both privately and public through the Department of Youth, Sports, and Tourism (DISPOPAR). Nature Tourism potential needs to be continuously developed and published massively. New technologies such as virtual reality (VR) presents opportunities for interactive experiences, and provide interesting information that can support nature tourists in Cilacap. This paper successfully presents the development of a virtual reality tourism application in Cilacap. Furthermore, this research has obtained the visitor responses by using it. The results of this study have provided new insights into the experience of virtual reality in exploring nature tourism. The visitor responses showed that they strongly agree for getting new experiences in exploring nature with virtual tours which the average is 84,10%. Utilization of VR technology can support for tourism managers to provide more interesting information. Moreover, it can increase involvement with the new material and enable visitors to more easily identify the unique information. Finally, this research could be influence significantly for increasing the number of tourists in Cilacap regency of Indonesia.
The Eye of the Beholder - Experiencing ASD Through a VR Play

This paper describes a story-based multi-user VR environment designed to provide a comprehensive autistic experience to neurotypical individuals. The intention is improving current ASD educative tools, which can enhance social acceptance. Only a few initiatives intended portraying a wider picture of ASD and most are videos focused on sensory disorders. In this work, empathetic feelings were provoked by exposing users to a scenario where ordinary compulsions are seen through altered perception and cognition, so they can understand how it leads to unbearable overload. The multifaceted experience also allowed assuming caregivers’ point of view, showing the heavy burdens of ASD and how parents can make it worse by failing to adapt to the divergent behavior.
DESIGN AND MANUFACTURE OF HYDRAULIC PRESS MACHINE FOR BAFFLE STUFFING

Hydraulic machine for baffle stuffing may be a vertical stuffing machine for inserting single baffles or complete baffle assemblies into a pre-formed muffler shell. Heads are hydraulically powered and are adjustable for loading position, stuffing position and stuffing speed. The shell clamps drop by design for quick change over.The operator manually loads the baffles or baffle assemblies onto each of the ram tools and cargo the muffler shell into the loading station on the walking beam. When the cycle is activated, the muffler shell is transferred into the stuffing station by the integral walking beam where the shell is gripped by the integral walking beam where the shell is gripped by the shell clamps then the baffles are inserted into the shell by the ram heads. When the stuffing operation is complete, the stuffed shell is returned to the operatorAn optional extended walking beam transfer system is out there to transfer shells through the stuffing operation for integration into automatic lines.
A Novel Method to Protect Private Information in Big Data Environment

In the big data environment, through the analysis and induction of massive data, mining out potential models and studying the market operation rules, can help enterprises adjust strategies, reduce risks and improve efficiency. However, with the wide application of new technology, the sensitive information of users may be disclosed while mining rules. In the big data environment, the amount of data related to users is large. If the privacy information in these data is leaked, it will cause great harm to users. In order to avoid the disclosure of sensitive information in the process of users accessing services in the big data environment, our research will propose new method to protect the privacy data of users in big data environment. Our research design a new approach based on private matching protocol using block chain technology to protect private data in big data environment.
Proof-relevant Category Theory in Agda.

The generality and pervasiness of category theory in modern mathematics makes it a frequent and useful target of formalization. It is however quite challenging to formalize, for a variety of reasons. Agda currently (i.e. in 2020) does not have a standard, working formalization of category theory. We document our work on solving this dilemma. The formalization revealed a number of potential design choices, and we present, motivate and explain the ones we picked. In particular, we find that alternative definitions or alternative proofs from those found in standard textbooks can be advantageous, as well as fit Agda's type theory more smoothly. Some definitions regarded as equivalent in standard textbooks turn out to make different universe level assumptions, with some being more polymorphic than others. We also pay close attention to engineering issues, in particular so that the library integrates well with Agda's own standard library, as well as supporting as many of the modes of Agda as possible.
Profil Darah Pada Kucing Selama Proses Kesembuhan Luka Melalui Teknik Skin Flaps Rotasi Yang Dirawat Dengan Dry Dressing Dan Moist Dressing

The skin flap is one of the techniques employed to reconstruct defects and close wounds. This study aims to observe the blood profile in cats during the healing process of rotation skin flaps that were treated with a dry and moist dressing. This study used six male cats within the age of 1-2 years old and weighed among 2-4 kg, divided into two treatment groups. All of the specimens were treated with the following procedure; the fur on the abdominal area was shaved and disinfectant was applied to the area between the os sacrum and os femur, lastly, 2 cm2 triangle wound was deliberately made on the area. The treatment of the wound was done by the rotation skin flaps method. Group 1 was treated with sterile bandage and group 2 was treated with sofratulle®. Blood samples were taken from the cephalica antebrachii vein on the 1st, 3rd, 6th, and 12th days. The erythrocytes, hemoglobin, hematocrit, platelets, leukocytes, neutrophils, basophils, eosinophils, monocytes, and lymphocytes were counted by hematology analyzer. The results showed that there is a significant difference (P&lt;0.05) in the increase of neutrophil levels between the group treated with sterile kassa (P-1) and the group treated with sofratulle® (P-2). The number of the cats’ red blood cells rose on the 3rd day and rose again on the 12th day after the treatment with a significant difference (P&lt;0.05) during the observation. In conclusion, the rotation flaps treatment method with dry dressing and moist dressing in the wound healing process affected the cats’ blood profile and the moist dressing was preferred to the dry dressing.
TULIP: A Five-Star Table and List - From Machine-Readable to Machine-Understandable Systems

Currently, Linked Data is increasing at a rapid rate as the growth of the Web. Aside from new information that has been created exclusively as Semantic Web-ready, part of them comes from the transformation of existing structural data to be in the form of five-star open data. However, there are still many legacy data in structured and semi-structured form, for example, tables and lists, which are the principal format for human-readable, waiting for transformation. In this chapter, we discuss attempts in the research area to transform table and list data to make them machine-readable in various formats. Furthermore, our research proposes a novel method for transforming tables and lists into RDF format while maintaining their essential configurations thoroughly. And, it is possible to recreate their original form back informatively. We introduce a system named TULIP which embodied this conversion method as a tool for the future development of the Semantic Web. Our method is more flexible compared to other works. The TULIP data model contains complete information of the source; hence it can be projected into different views. This tool can be used to create a tremendous amount of data for the machine to be used at a broader scale.
Using Cohen Sutherland Line Clipping Algorithm to Generate 3D Models from 2D

This paper provides an efficient algorithm to generate three dimensional objects from simple uncomplicated 2D environment, lead to reduce processor effort, limit of using complex mathematical operations.Most of the previous researches used the idea of drawing by vanishing point to generate 3D objects from 2D environment, But the algorithm designed in this paper provides an idea of how to draw three-dimensional shapes from two-dimensional drawings when applying Cohen Sutherland Line clipping algorithm, so that a basic two-dimensional shape is inserted from a set of points connected with each other must be within vision borders with a vanishing point outside of vision that is connected with all points of basic shape to consist a group of lines with partial intersections.So that any point has specific limited vision border which represents one of its coordinates of depth vertex, finally 3d object is generated when all clipping processes are completed to obtain other coordinates for all points.
Visual Perception Model for Rapid and Adaptive Low-light Image Enhancement

Low-light image enhancement is a promising solution to tackle the problem of insufficient sensitivity of human vision system (HVS) to perceive information in low light environments. Previous Retinex-based works always accomplish enhancement task by estimating light intensity. Unfortunately, single light intensity modelling is hard to accurately simulate visual perception information, leading to the problems of imbalanced visual photosensitivity and weak adaptivity. To solve these problems, we explore the precise relationship between light source and visual perception and then propose the visual perception (VP) model to acquire a precise mathematical description of visual perception. The core of VP model is to decompose the light source into light intensity and light spatial distribution to describe the perception process of HVS, offering refinement estimation of illumination and reflectance. To reduce complexity of the estimation process, we introduce the rapid and adaptive $\mathbfβ$ and $\mathbfγ$ functions to build an illumination and reflectance estimation scheme. Finally, we present a optimal determination strategy, consisting of a \emph{cycle operation} and a \emph{comparator}. Specifically, the \emph{comparator} is responsible for determining the optimal enhancement results from multiple enhanced results through implementing the \emph{cycle operation}. By coordinating the proposed VP model, illumination and reflectance estimation scheme, and the optimal determination strategy, we propose a rapid and adaptive framework for low-light image enhancement. Extensive experiment results demenstrate that the proposed method achieves better performance in terms of visual comparison, quantitative assessment, and computational efficiency, compared with the currently state-of-the-arts.
Research on dynamic deformation monitoring of viaduct based on digital camera

Abstract In order to realize dynamic deformation monitoring of viaduct and provide data support for safe operation of viaduct, this paper studies the application of digital camera in dynamic deformation monitoring of viaduct. Firstly, the digital camera is corrected to eliminate the aberration, then the corrected digital camera is used to collect data, and then the time baseline parallax method is used to calculate the data, and finally the operation status of the viaduct is obtained through the analysis of the data. The experiment shows that the viaduct is in good operation and use digital camera as monitoring equipment, the dynamic deformation monitoring of viaduct is realized, which is of great significance to the safe operation of viaduct.
Research & Subject Guides: Integrating Library Resources Into Blackboard: Streaming Video in Blackboard

This guide will show you how to find, link to, and otherwise make use of the most appropriate library resources for your online teaching in Blackboard.
Online Teaching of Advanced English with Tencent QQ Chat

Recently, online teaching has been pushed to the forefront of education, and the major teaching platforms in China are facing unprecedented challenges and pressures. While some platforms cannot fully meet the surge in teaching needs, Tencent QQ Chat software, with its rich and powerful functions, can be used as a complimentary measure to organize online teaching, easily and fluently. Based on factual teaching practice in the course of Advanced English, this paper introduces how to use QQ to efficiently organize online teaching.
Research on static load test of foundation piles by self-blance method

Abstract The pile foundation static load test is a technique for detecting pile foundation bearing capacity in engineering. In determining the ultimate bearing capacity of a single pile, it is a relatively accurate and reliable test method, which can accurately reflect the stress condition and deformation characteristics of a single pile, and determine the vertical compressive bearing capacity of a single pile. Based on the static test of pile foundation, the process of self-balancing loading method is expounded.