Reviewerly/exHarmony huggingface dataset:
<i>AWWA Water Science</i> 2020 Reviewer Recognition

Journal AWWAVolume 112, Issue 12 p. 20-20 Departments AWWA Water Science 2020 Reviewer Recognition First published: 03 December 2020 https://doi.org/10.1002/awwa.1629Read 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 Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume112, Issue12December 2020Pages 20-20 RelatedInformation
Kontribusi perilaku game online terhadap motivasi belajar siswa SMA

The online gaming behaviour referred to in this study is an individual response or reaction to the stimulation of online games or games connected via the Internet network. One factor that can influence the motivation to learn is the external factor or environmental factors that are parents, with the social support of parents then students should students have a high motivation to learn. The purpose of this research is to know the contributions of the behavior of online gaming to the learning motivation of high school students. This research is quantitative research with correlational design. The subject of this research was Shalahuddin high school student 94 students. The techniques used in sampling are total sampling techniques or saturated samples. The measuring instrument used in this study uses two scales of the scale of online gaming behaviour and learning motivation. The results showed that there was a link between the behavior of online gaming with the motivation of learning students (P = 0.000 &gt; 0.05, r =-0.432) that is, there is a negative relationship between online gaming behaviour and the students ' learning motivation so that more students Spend time playing games online then the motivation of learning is getting lower.
JPR volume 57 issue 3 Cover and Back matter

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Posture Detection and Alerting System Using Rtsc Algorithm

In order to detect and correct the posture we developed a wearable garment integrated device to sense the posture of the user and analyze the posture within the device to alert the user remotely. Further the posture data are sends to the server to analyze the data in detail. Device contains the accelero-meter sensor to detect the angle of the user. From the angle the posture is calculated using the microcontroller in the device. The posture is analyzed and if bad posture is detected then the buzzer sensor present in the device alert the user to correct the posture. The bad posture data are sends to server through the wifi module present in the device. The data are stored in the database along with time, date and device id. The month wise statistical graph is developed from the data in the database. Daily analyzes of the posture data is done to provide the average posture of the user and worst posture of the user. The report of the analyzed data can be generated in the website through user authentication.
PEMANFAATAN MULTIMEDIA MENGGUNAKAN GOOGLE SITES BAGI GURU-GURU SMP SMK PUTRA SATRIA SEBAGAI MEDIA PEMBELAJARAN JARAK JAUH

Teachers and staff in carrying out their duties cannot be separated from the use of information technology, in several schools including partner schools, namely SMP &amp; SMK PUTRA SATRIA. there are still many teachers and TU staff who are not familiar with the use of information technology. For this reason, it is necessary to increase skills through training in the use of Google application information system software. This activity is carried out in 3 stages, namely the preparation stage, then the Distance Learning training stage with Google Sites, Google Classroom, then the effectiveness evaluation stage with questionnaires by participants, Based on the data obtained from the questionnaire via google form about the effectiveness of distance learning using the Google Sites platform, google classroom, as follows very ineffective 7%, ineffective 10%, quite effective 10%, effective 67%, very effective 7%&#x0D;
Higgs Physics

This is a write-up of lectures presented at TASI 2018, and provides a pedagogical introduction to the Higgs mechanism in the Standard Model as well its phenomenological implications at hadron colliders.Particular emphasis is given to search and analysis strategies for generic beyond the Standard Model extensions.
Preface

The first Annual Advanced Technology, Applied Science, and Engineering Conference, ATASEC 2019, was doing in Batu, East Java, Indonesia between 29 and 30th August 2019, with the participation of 116 participants. This conference was organized by State Polytechnic of Malang, Indonesia. The conference theme was “Sustainable Development through Science, Technology and Vocational Engineering Education”. ATASEC 2019 addressed emerging challenges and innovations in the industry 4.0 era in the field of applied science, technology, engineering, and vocational engineering education. ATASEC 2019 aims to provide a platform for academicians, researchers, students and practitioners to promote and to share ideas and knowledge and to create international networks for sustainable development of science and technology in the future. The scope of the conference covered 12 scope, which is Electrical Power Systems Engineering, Electronics and Microelectronics Engineering, Information Systems Technology, Telecommunication Engineering, Mechanical Engineering, Mechatronics and Robotics Technologies, Computer Science and Engineering, Chemical Engineering, Civil Engineering, Industrial and Manufacturing Engineering, Environmental Science and Engineering, Education, Vocational Engineering and Technology. Three keynote speakers of the ATASEC 2019 conference was: 1. Prof. Kohei Arai. Professor of Saga University, Japan Adjunct Professor of Arizona Univ, USA. 2. Dr. M.A. Burhanuddin. Associate Professor of Universiti Teknikal Malaysia Melaka, Malaysia. 3. Dr. Luchis Rubianto. Vice Director of Cooperation Affairs, State Polytechnic of Malang, Indonesia. The organizing committee would like to express appreciation to all sponsors, and participants for great contribution to the success of this conference. The Editors Dr. Ade Gafar Abdullah Indrazno Siradjuddin, Ph.D. Erfan Rohadi, Ph.D. LIST OF COMMITTEE, CONFERENCE PHOTOGRAPH are available in this pdf.
FACE RECOGNITION THROUGH CASCADE CLASSIFIER USING EIGENFACES ALGORITHMS.

The easiest way to distinguish each person's identity is through the face. Face recognition is included as an inevitable pre-processing step for face recognition. Face recognition itself has to face difficulties and challenges because sometimes some form of issue is quite different from human face recognition. There are two stages used for the human face recognition process, i.e. face detection, where this process is very fast in humans. In the first phase, the person stored the face image in the database from a different angle. The person's face image storage with the help of Eigenvector value depended on components - face coordinates, face index, face angles, eyes, nose, lips, and mouth within certain distances and positions with each other. There are two types of methods that are popular in currently developed face recognition patterns, the Cascade Classifier method and the Eigenface Algorithm. Facial image recognition The Eigenface method is based on the lack of dimensional space of the face, using principal component analysis for facial features. The main purpose of the use of cascade classifiers on facial recognition using the Eigenface Algorithm was made by finding the eigenvectors corresponding to the largest eigenvalues of the facial image
A new (and improved?) version of the triple cloud scheme for GCMs

This paper introduces a new formulation for the triple cloud (TC) scheme which provides a simple framework for dealing with subgrid cloud heterogeneity in GCM radiative transfer calculations.The new formulation has to do with how the thick portion of the cloud in triple clouds (triple = thick cloud, thin cloud, clear) is treated in terms of overlap for adjacent cloud layers.Fig. 9 also nicely summarizes differences in the way
Reverse Software Engineering: A Sophomore-level Project in Computer Systems

She is also a Baylor Honors student whose senior thesis investigates the use of metrics in multi-variate statistical process control.After graduating this spring, she will be pursuing a graduate degree in human-centered computing with an interest
Narrative visualisation of simulations: Finding the stories within the data

Decision makers need to understand and draw key insights from large and complex data sets generated by simulations.This may be to answer a specified analytical problem addressed by a simulation or to support learning or mission objectives through after-action review of a virtual simulation.Geospatial displays are traditionally used to help a decision maker or analyst gain an understanding of the results of a force-on-force constructive simulation, or for after-action review of virtual simulations.They provide an evolving picture of the geospatial positions and spatial relationships between entities and key features in the environment, and can potentially incorporate other attributes such as entity state or key metrics to support the analyst.However, while this geospatial context is often important, sense-making also requires an understanding of the significant actors, their relationships, their interactions, and the consequences of these relationships and consequences.Narrative visualisation is an approach that focusses on the storylines of key actors, the events they are involved in, and the causal relationships between entitiesi.e. the stories within the data.This paper describes initial work demonstrating a novel narrative visualisation approach for data from a large-scale force-on-force simulation, and the key features of this visualisation that supports a decision maker or analyst's understanding and insights on what occurred within the simulation, and why.To the authors' knowledge, this represents the first time simulation data has been applied to narrative visualisation.While still in its early stages, this approach shows promise and could potentially supplement, or indeed replace, geospatial-centric visualisations as the primary sense-making pathway for analysts in a wide range of operating domains, including real-time operating pictures.This is particularly apropos in domains where the geospatial context is less relevant.
Sparse matrices

A matrix is said to be sparse if the number of its nonzero entries is significantly smaller than the total number of its entries. The stiffness matrix is generally sparse as a consequence of the global shape functions having local support. This chapter deals with important computational aspects related to sparsity: storage, assembling, and reordering.
Secure Collaborative Key Management System for Mobile Cloud Data Storage

Mobile Cloud Computing (MCC) is the combination of mobile computing, cloud computing and wireless networks to make mobile thin client devices resource-rich in terms of storage, memory computational power and battery power by remotely executing the wide range of mobile application’s data in a pay-per-use cloud computing environment. In MCC, one of the primary concern is the security and privacy of data stored in cloud. The existing techniques are not efficient to manage secret keys during key generation and key distribution processes. The objective of this project work is to develop a secure collaborative key management system (SCKMS) for mobile cloud data storage by implementing by the cryptographic techniques for file encryption and file decryption, key generation, key encryption, key distribution and key decryption processes. In our proposed methodology, DriverHQ public cloud infrastructure is used for accessing the secure file as Storage as a Service (SaaS) mechanism. For generating the secret key, the proposed work implemented with Pseudo Random Number Generator (PRNG) algorithm, it produces the sequence of random numbers for every time. The keys are distributed using general Secret key Sharing Scheme (SSS). The key pattern matching process is implemented to spilt the secret key into three partitions and sent it to client (mobile devices), cloud server and decryption server. The decryption server key and cloud sever key are mapped with client key. The key shares are grouped together using key-lock pair mechanism and it achieves key integrity during untrusted medium communication. The proposed work also eliminates key escrow and key exposure problems. The files are encrypted and decrypted using Rivest-Shamir-Adleman (RSA) algorithm. The RSA algorithm is more vulnerable against the brute force attack, because of using larger key size. Thus, the proposed SCKMS achieves data confidentiality and data integrity in mobile cloud storage data when compared to existing Key Management System (KMS). The work also reduces encryption &amp; decryption computation and storage overhead in client mobile devices, and minimizes the energy consumption of the mobile devices efficiently.
Extra-Curricular Mathematics and its Role in Development of General Cultural Competences in the Context of the Modern School

The purpose of this research is to analyze modern forms of extra-curricular mathematical activities in a comprehensive school, to assess the influence of the form and the corresponding content of extra-curricular activities on formation of general cultural competencies of pupils.The general scientific methodology of this research is represented by the system approach, which is specific for most pedagogical researches.The theoretical analysis of pedagogical sources has been widely applied as one of the main methods of the pedagogical research.The research has revealed changes in the form and content of the extra-curricular activities that was caused by taking psychological characteristics of pupils into account; the research has also shown the relationship between forms of extra-curricular activities in the mathematics and general cultural pupils' competences, which are mostly formed by the influence of certain forms.This allows to distinguish the form classification approach, which is based on the goals of forming a certain type of general cultural competences.
Newly Proposed k-NN Method for More Efficient Classification

The purpose of this paper is to examine a new classification algorithm based on the well-known k nearest neighbors technique that achieves better efficiency in terms of accuracy, precision and time when classifying test observations in comparison to classic k nearest neighbors.The proposed methodology splits the input dataset into n folds containing all observations. Each record is allocated to one of the folds. One of the folds is saved for testing purposes and the rest of the folds are used for training. The process is executed n times. The pair of train/test subsets which produces the highest accuracy result is selected as final model for the respective input data.18 different datasets are used for experiments. For each dataset, the classic k-NN is compared to the proposed method (Mk-NN) using accuracy, F1 score and execution time as metrics. The proposed approach achieves better results than classic k-NN according to all used metrics.Based on experiments with validation subsets, evidence of overfitting was not found.This paper suggests a novel method for improvement in accuracy, precision, recall and time when classifying test observations from a dataset. The approach is based on the concept of k nearest neighbors. However, what separates it from classic k nearest neighbors is that it tries to find train and test subsets of the original dataset that best represent the input dataset using the k-fold method.
Hardware Assisted Security Platform

Embedded systems are often used to monitor and control various dynamic and complex applications. However, with greater accessibility and added features on many embedded systems, more and more systems are being subject to sophisticated and new types of attacks. As a result, the security aspect of embedded systems has become critical design step. TrustZone has become a popular choice for security design solution in systems where resources such as processing power, battery are limited. In TrustZone, two virtual processors called "secure world" and “normal world” run on the same core in a time sliced manner. These worlds have partitioned hardware and software resources, with different modes of operation, isolated memory regions and interrupts. In this paper, the hardware and software architecture of TrustZone is analyzed from the perspective of embedded system security design. Then a mobile-ticketing system based on TrustZone is presented which incorporates standard cryptographic engineering design practices to demonstrate the feasibility and effectiveness of such system. The ticketing system is then simulated and security threat analysis is performed in terms known vulnerabilities such as Buffer Overflow, Static and dynamic code/data tampering, Return Oriented Programming (ROP) exploits, and Man-in-the middle attacks. After evaluating the analysis results with various open source vulnerability analysis tools, it is conclusive that the system design is an effective solution particularly for embedded systems.
A System to access IRNSS data from different Receiver stations using Cloud Computing

Data storage on hard drives of laptop/ datacentres has become a relatively outdated technique as it involves risk of data backup, increase in price due to additional hard drives and management of the data. The world is now progressing with latest technologies with storage on hard disks and datacentres being replaced by the storage on the cloud. When data is generated in continuous form, no matter how small it is, there ought to be a provision to store the data in a place where safety is ensured and storage capacity never runs out. Also since the data is very crucial and we cannot take a chance of data falling in wrong hands, permission to access the data is given only to the authorized users thereby ensuring safety of the data. These things can be ensured using cloud computing which is the best platform for maintaining, storing and monitoring the data. In case of IRNSS/ NavIC data, a requirement of collecting and storing large quantity of scientific data exists. Apart from this a number of stations across the country are involved in this mission from where these data are to be stored. They are also normally required to be accessed by other users in the country. The scientific parameters obtained from the satellite are stored in the C drive of laptop by means of Receiver. The paper aims to device a system wherein the laptop will be replaced by a gateway and the storage in the C drive will be replaced with the storage in the cloud. The data coming from the satellite will be accessed by the gateway and after certain period of time, the data will be stored onto the AWS cloud thereby eliminating the need of laptop and additional hard drives.
METHOD AND MEDIA USED IN TEACHING VOCABULARY AT TAMAN INDRIA IBU PAWIYATAN ACADEMIC YEAR 2012-2013 YOGYAKARTA

Vocabulary is one of the essential elements in learning language. Survey data shows that students in kindergarten not easy to memorize new vocabulary. Therefore, researcher tries to analyze the method and media used by the teacher in teaching vocabulary. The objectives of the study are 1) to find out the methods and media that are used by the teacher in teaching vocabulary at Taman Indria Kindergarten. 2) to know the underlying reason of the teacher using those methods and media in teaching vocabulary.The research approach is qualitative, with the research method used is descriptive. The study population was students of Taman Indria children age 3-5 years old the class consist of 20 students. The data were collected through observation, checklist, field note, video transcription and interview. The data were analyzed based on the characteristics of the methods which teacher applied in every activity. The results of the research showed that the teacher in Taman Indria mostly used Direct method and Total physical respond meanwhile, media that she used is whiteboard and picture.Keywords: teacher; young learner; vocabulary; method; media
Clustering Behavioral Data for Advertising Purposes using K-Prototypes Algorithm

Understanding the customer sentiment is very important when it comes to advertising. To appeal to their current and potential customers, a company must understand the market interests. Companies can segment their customers by using surveys and telemetry data to get to know the customer’s interests. One way of segmenting the customer is by grouping or clustering them according to their interests and behaviors. In this study, the k-prototypes clustering algorithm, which is an improved combination of k-means and k-modes algorithm, will be used to cluster a behavioral data that contains both numerical and categorical attribute, obtained from a survey conducted on teenagers into clusters of 4, 5, and 6. Each cluster will contain teenagers with certain behavior different from other clusters. And then by analyzing the results, advertisers will be able to define a profile that indicates their interests regarding the internet, social media and text messaging, effectively revealing the kind of ad that would be relatable for them.
Issues in the School Setting

Download the ASHA CE Questions PDF from the toolbar above. Use the questions to guide your Perspectives reading. When you're ready, purchase the activity from the ASHA Store and follow the instructions to take the exam in ASHA's Learning Center. Available until November 20, 2022.
CFL Authentication System Solution in Field of Industrial Control Information Security

The paper firstly introduces the relationship between industrial control and national strategy, gives action comparisons among important countries in the fields of industrial control information security (ICIS), and points out the gap of China. It is urgent to study ICIS technology. Then it briefly describes the common industrial control topological structure and corresponding information security management system in China. It is apparent that the current technologies in China does not meet the significant characteristics of ICIS. Based on this purpose, the Chen, Fan, and LÃ¼ (CFL) solution and security architecture Trusted Computing Base (TCB) about ICIS is presented for the first time. Then the basic typical technology and research basis of the TCB are recommended. Lastly, the advantages of CFL solution for ICIS are discussed.