Reviewerly/exHarmony huggingface dataset:
Dataset for ShelTherm

The dataset includes the ShelTherm files used to validate the thermal model with the seven prototypes in the refugee camp of Azraq (Case 01), against ISO 13792 (Case 02) and in other climates (Case 03). It also includes the Energy+ files for Case 01 and Case 03, the Admittance Method file for Case 01. The dataset of the monitored shelters at Azraq camp and outdoor temperatures are included in Case 01.
Fast Opinion Mining using Information Retrieval techniques

This paper focuses on the construction of models, through automatic learning, for sentimental analysis, which allow to obtain the polarity of a tweet by taking advantage of the information obtained through an information retrieval process. For this purpose, the features derived from the classification generated by such a system in response to the consultation of the document to be analyzed will be used. Through this combination of tools we will achieve a language-independent sentiment analysis, reaching accuracies comparable to other state-of-the art approaches but at a much higher speed.
Phosphorus and Microbe: An annotated selection of World Wide Web sites relevant to the topics in environmental microbiology

Environmental Microbiology ReportsVolume 12, Issue 6 p. 718-719 Web Alert Phosphorus and Microbe: An annotated selection of World Wide Web sites relevant to the topics in environmental microbiology Lawrence P. Wackett, Lawrence P. Wackett McKnight Professor, Department of Biochemistry, Molecular Biology & Biophysics, BioTechnology Institute, University of Minnesota, St. Paul, MN, 55108 USASearch for more papers by this author Lawrence P. Wackett, Lawrence P. Wackett McKnight Professor, Department of Biochemistry, Molecular Biology & Biophysics, BioTechnology Institute, University of Minnesota, St. Paul, MN, 55108 USASearch for more papers by this author First published: 23 November 2020 https://doi.org/10.1111/1758-2229.12903Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL No abstract is available for this article. Volume12, Issue6December 2020Pages 718-719 RelatedInformation
Making The Invisible Visible: How an artist can translate/transform scientific data into a comprehensible visual language

Earth and Space Science Open Archive posterOpen AccessYou are viewing the latest version by default [v1]Making The Invisible Visible: How an artist can translate/transform scientific data into a comprehensible visual languageAuthorsDianeBurkoiDSee all authors Diane BurkoiDCorresponding Author• Submitting AuthorCommunity College of PhiladelphiaiDhttps://orcid.org/0000-0002-6321-3201view email addressThe email was not providedcopy email address
THE USE OF AUGMENTED REALITY IN EDUCATION. DESIGN AND DEVELOPMENT OF A PRACTICAL EXAMPLE

One of the elements and concerns of innovation in education at the different levels that make up our educational system, from elementary school to university studies, is the inclusion of tools that allow, in a simple, playful and formative way, the approach of students to the curricular contents. In this sense, one of the technologies that meets the aforementioned requirements is Augmented Reality (AR). AR allows, on the one hand, to combine digital information with physical information in real time through different devices (smartphones, tablets, etc.) and, on the other hand, to move to training contexts beyond traditional teaching scenarios, viewing objects not perceivable and comparing objects and/or phenomena from different perspectives. In addition, different reports indicate that AR is positioned as one of the emerging technologies with the most future, along with others such as Virtual Reality, and that it will have, in the short term, a strong level of penetration in educational centres and universities.This paper presents a brief introduction to AR and reviews the use of AR at all educational levels; elementary and middle school, high school and university studies, focusing on AR as a point of support for teaching. In addition, the full development of an AR application for mobile and tablet devices is presented as an example of this technology. This application is focused on high school students, as well as students of the degree in telecommunications engineering, since it is an introduction to satellites with extra information and curiosities, types of orbit, etc. supported by 3D modelling and audio.
A Quantum-Inspired Genetic K-Means Algorithm for Gene Clustering

K-means is a widely used classical clustering algorithm in pattern recognition, image segmentation, bioinformatics and document clustering. But, it is easy to fall into local optimum and is sensitive to the initial choice of cluster centers. As a remedy, a popular trend is to integrate the swarm intelligence algorithm with K-means to obtain hybrid swarm intelligence K-means algorithms. Such as, K-means is combined with particle swarm optimization algorithm to obtain particle swarm optimization K-means, and is also combined with genetic mechanism to obtain Genetic K-means algorithms. The classical K-means clustering algorithm requires the number of cluster centers in advance. In this paper, an automatic quantum genetic K-means algorithm for unknown K (AQGUK) is proposed to accelerate the convergence speed and improve the global convergence of AGUK. In AQGUK, a Q-bit based representation is employed for exploration and exploitation in discrete 0–1 hyperspace using rotation operation of quantum gate as well as the genetic operations (selection, crossover and mutation) of Q-bits. The length of Q-bit individuals is variable during the evolution, which is Different from the typical genetic algorithms. Without knowing the exact number of clusters beforehand, AQGUK can obtain the optimal number of clusters and provide the optimal cluster centroids. Five gene datasets are used to validate AQGUK, AGUK and K-means. The experimental results show that AQGUK is effective and promising.
The Design of Chamber Reservation System Based on SSH Framework

The traditional chamber reservation, which relies on manual summary, manual arrangement and other ways, is not only takes time and effort but also causes low office efficiency. To provide efficient, reliable and scientific chamber reservation, depending on modern technology is the research direction. This article develops and designs a chamber reservation system that based on SSH framework and b-s model by internet technology. The chamber reservation system based on SSH framework has the functions, which contain remote reservation, automatic arrangement and remote query. The system can not only be used conveniently, but also improve validly office efficiency.
Development of Robot Finger to Grip and Operate Small Object

Various multi-end effectors have been researched and developed, and it has become possible to grip various objects without requiring a complicated control. However, in tasks such as writing with a pen and assembling bolts and nuts, it is necessary not only to grip the object but also to replace the gripped object in hand (“ in-hand manipulation ”). The development of a multi-end effector with in-hand manipulation skill reinforced the versatility of the robot. However, realizing in-hand manipulation usually required a large amount of feedback from the sensor and complicated control. In this study, we developed a robot finger that realizes in-hand manipulation with easier control, especially for small objects such as bolts, nuts, and screws, by combining rotation with a finger that has a mechanism that uses the jamming transition phenomenon.
Prehensile Manipulation Planning: Modelling, Algorithms and Implementation

This paper presents a software platform taylored for prehensile manipulation planning named Humanoid Path Planner. The platform implements an original way of modelling manipulation planning through a constraint graph that represents the numerical constraints that define the manipulation problem. We propose an extension of RRT algorithm to manipulation planning that is able to solve a large variety of problems. We provide replicable experimental results via a docker image that readers may download to run the experimental results by themselves.
Analyzing the Representation of Communicative Activities in Grade 12 English Textbook at Tebela Secondary and Preparatory School

The purpose of this study was analyzing the representation of communicative activities in grade 12 English textbook at Tebela Secondary and Preparatory School.Descriptive research design was employed for the current study.To collect the necessary data for the study, semi-structured interview for two teachers, questionnaire for sixty-five students and document analysis were employed.To analyze the collected data, qualitative and quantitative methods of data analysis were employed.That is, data collected through questionnaire were analyzed employing statistical tools such as frequency and percentage using SPSS version 20, while responses obtained from interview were described and discussed.In addition, the data obtained from document analysis that were presented in tables and explained qualitatively to validate and triangulate the data obtained from interview and questionnaire.From the analysis of data, different findings were obtained.The study revealed that that different communicative contents and activities were found in Grade 12 English Textbook as confirmed by three different results, which are based on questionnaire data from students, semi structured interview data from two English teachers and data from document analysis.This doesn't mean that the availability of communicative contents and activities can make English language teaching and learning effective and only the availability can't make the Textbook appropriate to students, because the contents and activities should be organized and designed sequentially.Based on the findings, conclusions were drawn and recommendations were forwarded to improve the perceptions of teachers and students as well as to revise some contents of the textbook.
Automatic Removal of Identifying Information in Official EU Languages for Public Administrations: The MAPA Project

The European MAPA (Multilingual Anonymisation for Public Administrations) project aims at developing an open-source solution for automatic de-identification of medical and legal documents. We introduce here the context, partners and aims of the project, and report on preliminary results.
A Study of a Mobile Bathtub Cleaning Robot

Recently, robots that perform housework on behalf of human beings have been developed. However, there are few robots that can do housework related to water. In particular, bathroom cleaning is the place where automation is most desired. In this study, we propose a robot mechanism that cleans a bathtub.
Expert Sistem Untuk Mendiagnosa Penyakit Ayam Menggunakan Metode Forward Chaining

Chicken is one of the most desirable types of birds for breeding. However, the maintenance of any kind of chicken tended to be prone to attack by various diseases. This situation resulted in a chicken farmer has a high dependence on veterinarian or chicken expert. That requires that information technology expert system that can help diagnose diseases of chicken and can be used anywhere and anytime. In this study designed a web-based expert system that is able to diagnose and provide solutions for chicken diseases. Inference method used is a forward chaining and using search techniques depth first search. This expert system will show choice of symptoms which can be chosen by user, where each choice of symptoms will lead the user to the next choice of symptoms until get the final results. At the final results, the expert system displays the name of the disease is diagnosed, symptoms, description of disease, and disease solutions
Decoded Launch Roundtable

&#x0D; &#x0D; &#x0D; During the Decoded Launch Roundtable, presenters Candyce Kelshall and Natalie Archutowski discussed the reasoning and methods behind creating DECODED: Understanding the Post-COVID-19 Security Landscape Using Structured Models, Approaches, and Analytic Techniques.&#x0D; APA Citation&#x0D; CASIS Vancouver. (2020). Decoded launch roundtable. The Journal of Intelligence, Conflict, and Warfare, 3(2), 73-76. https://journals.lib.sfu.ca/index.php/jicw/article/view/2410/1815.&#x0D; &#x0D; &#x0D;
Discordant Observation Modelling

Leech, Sonya Bozic, BojanTime-series modelling on discordant observations or volatile data needs careful consideration when choosing the right model. Our approach is to identify model performance based on time-varying volatility in application log files. A comparison will be done on two different modelling techniques, ARIMA and GARCH whilst extracting a limited understanding of the types of messages sent to the log files. Different model parameter settings will also aid in model performance analysis. Being able to predict volatile data whilst understanding the context of the data can help Dev-Ops support teams be more sagacious in their support and control of business processes that can help narrow the bandwidth of future occurrences. This paper presents a comparative analysis into time-series predictions of log events using both ARIMA and a hybrid model of ARIMA-GARCH that will aid in anomaly detection. It also takes a simple approach to the classification of the textual messages of the log data to understand the type of messages being recorded. The findings of the study conclude that ARIMA is not suitable for modelling volatile data whilst ARMA-GARCH is a more performant model.
A Graph Theoretic Based Feature Selection Method Using Multi Objective PSO

Feature selection is a dimensionality reduction method known as a main step in data mining and machine learning. The aim of feature selection is to remove redundant and unrelated features. In recent years several feature selection methods based on graph theory and social networking techniques have been proposed .In this study, a feature selection approach based on multi objective PSO algorithm and social network techniques is presented. In the proposed method, Fisher score, node centrality and edge centrality are used to construct the fitness function in order to present a multi objective particle swarm optimization (PSO) approach. The proposed method run over a variety of datasets and the results are compared with the well-known filter-based feature selection methods. The results show that the proposed method is effective and the performance of the proposed method better than other methods in some cases.
ENGLISH TO BENGALI NEURAL MACHINE TRANSLATION SYSTEM FOR THE AVIATION DOMAIN

Machine translation systems for Indian languages such as Bengali and others are commonly found. Classical machine translation systems involving Bengali are available for tourism, agriculture, medical and other domains. The performance of these systems are restrained by the linguistic knowledge, that are used to develop the rules. In the recent past, notable results have been achieved by systems using neural machine translation. Well known organizations like Google and Microsoft have started using NMT models. In this paper, we explore the design and implementation of an unexplored domain in Bengali, the aviation domain. It is implemented using a neural machine translation model. In order to implement it, we have used English to Bengali parallel corpus for the aviation domain which was developed specifically for this implementation. The corpus is a unique one with large number of aviation specific OOV words and phraseologies included in it. We have used the already developed aviation preprocessing tool, E-dictionary and transliteration tool for creation of the corpus and system. Ultimately we get the output model which generates our machine translated output file in Bengali. We then apply the aviation phraseology converter and transliteration tool on the output to get a post-processed output. The two versions of the output are compared using n-gram BLEU score. The results ultimately demonstrate that NMT output with the post processing exhibits better results.
Technology-enhanced Learning Design of a Pre-service Teacher Training Course in a Research-based Learning context

Research-based learning is an educational approach that aims at enhancing an active student engagement through research activities that are typical of the field. In the case of student teachers, this implies getting involved in educational research and in the development of educational innovation based on research. A valid method for this aim is design-based research, which combines theory and practice through designing different types of educational products. In this work we present a technology-enhanced learning design of a pre-service teacher training course within the frame of research-based learning and, concretely, of design-based research. The course had the focus on the use of technology in the school, as well as on the development of the digital competence, and it was organized around the preparation of an educational proposal in which the use of technology was integrated and based on a research question. As results, we share the vision of the course instructor and the student teachers. Conclusions address the innovative character of the learning design and the educational practice presented and suggest future lines of work.
A Study of Symbol Detection on P&ID Based on Semantic Segmentation

Although the Fourth Industrial Revolution comes to reality rapidly, construction industry is going through a difficult time to adopt new technologies. Also, improving productivity is one of the most urgent issues for major construction companies. However, reading information and digitizing them from imaged drawings takes much time and it becomes a reason for low productivity. Thus, in this paper, we propose a method to recognize symbols in P&ID (piping and instrumentation diagram) using neural networks for Semantic Segmentation. First, crop a drawing into small patches and label on them 8 classes of symbol. Then, Train U-net and FCN with 2,500 patches with annotation. After training, results of recognition are displayed with color code on imaged drawings. Finally, we run tests with 5 new P&ID drawings and scored the performance of our recognition models.
Real-Time Detection and Tracking Using Hybrid DNNs and Space-Aware Color Feature: From Algorithm to System

Object detection and tracking are vital for video analysis. As the development of Deep Neural Network (DNN), multiple object tracking is recently performed on the detection results from DNN. However, DNN-based detection is computation-intensive. In order to accelerate multiple object detection and tracking for real-time application, we present a framework to import the tracking knowledge into detection to allow a less accurate but faster DNN for detection and recover the accuracy loss. By combining different DNNs with accuracy-speed trade-offs using space-aware color information, our framework achieves significant speedup (6.8\(\times \)) and maintains high accuracy. Targeting NVIDIA Xavier, we further optimize the implementation from system and platform level.
SISTEM INFORMASI AKUNTANSI PERSEDIAAN BARANG DAGANG BERBASIS KOMPUTER PADA USAHA KERAJINAN KCHARIS JAYA PALEMBANG

This service program aims to design an accounting information system for finished goods inventory at the Kcharis Jaya Craft Business, in the Tuan Kentang Industrial Estate, Palembang. Kcharis Jaya Handicraft Business is one of the Small and Medium Enterprises (MSMEs) in the Tuan Kentang Industrial Estate that experiences obstacles in recording and presenting information on the finished goods inventory. This is because the Partner does not have technical mastery regarding the management of the finished goods inventory card, so information on the inventory of finished goods is carried out by the manager as necessary, only based on the manager's memory. It often becomes an obstacle that when the goods ordered by the buyer are not available, then the buyer has to wait several days for further reproduction. After this dedication activity, it is expected that the managers of Kcharis Jaya Handicraft Business as partners will find it easier to monitor the availability of finished goods inventory, so that the availability of finished goods inventory can be monitored whenever needed. To overcome these problems, as a solution the partners will be given good knowledge in the form of lectures or training on techniques and inventory card management practices to manage the finished goods inventory of partners.
PEMBERDAYAAN MASYARAKAT USIA PRODUKTIF MELALUI KEMAMPUAN KEAKSARAAN PADA MASYARAKAT KAMPUNG DAGIMON OBAA KABUPATEN MAPPI PROVINSI PAPUA

Illiteracy rates in two districts in the southern region of Papua, namely Mappi and Asmat districts, are still very high, reaching 60 percent. Illiteracy eradication (PAB), one of the non-formal education programs, is the government's effort to alleviate people from ignorance, poverty, backwardness and powerlessness. This activity is an activity Kuliah Kerja Nyata-Pembelajaran Pemberdayaan Masyarakat (KKN-PPM) with the Literacy program. The activity method is counseling, interactive discussions and community learning accompanied by students of the Elementary School Teacher Education Study Program (PGSD), Faculty of Teacher Training and Education (FKIP) Cenderawasih University (UNCEN). The target of this activity is at the productive age, with the aim 1) Improve reading, writing and arithmetic skills as well as functional skills to improve the lives of students, 2) Exploring the potential and sources of life around the learning environment of participants, to solve literacy problems 3) Developing reading, writing and numeracy skills so as to develop their potential local and resources. 3) Developing reading, writing and arithmetic skills so that they can solve problems in everyday life, 4) Providing opportunities for KKN PPM students to experience learning and working in community development activities. The results of the activity show the high interest of the community to catch up with literacy. The level of attendance and enthusiasm for learning activities can be seen in the activity of trying to read, write and count at each learning session. After 30 days of activities, the mastery of community literacy has not been completed, but the impact of this activity has been able to open people's horizons. It needs sustainable activities and a strong commitment from the local government to complete community literacy.Keywords: empowerment, literacy, productive age, Mappi, Papua
Comparison of two methods on vector space model for trust in social commerce

The study of dealing with searching information in documents within web pages is Information retrieval (IR). The user needs to describe information with comments or reviews that consists of a number of words. Discovering weight of an inquiry term is helpful to decide the significance of a question. Estimation of term significance is a basic piece of most information retrieval approaches and it is commonly chosen through term frequency-inverse document frequency (TF-IDF). Also, improved TF-IDF method used to retrieve information in web documents. This paper presents comparison of TF-IDF method and improved TF-IDF method for information retrieval. Cosine similarity method calculated on both methods. The results of cosine similarity method on both methods compared on the desired threshold value. The relevance documents of TF-IDF method are more extracted than improved TF-IDF method.