Reviewerly/exHarmony huggingface dataset:
Young Pacific Leaders Conference (DOS)

Federal Grants & ContractsVolume 44, Issue 16 p. 6-6 Grant Alerts Young Pacific Leaders Conference (DOS) First published: 14 July 2020 https://doi.org/10.1002/fgc.31199Read 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. Volume44, Issue1616 July 2020Pages 6-6 RelatedInformation
Pelaksanaan pembelajaran berbasis video pada mata pelajaran simulasi digital

ABSTRACT&#x0D; Vocational High School (SMK) S 8 Grakarsa Bengkulu which is located on Jl. Adam Malik Km 8, Kel. Sido Mulyo, Kec. Gading Cempaka, Bengkulu City. This research is a qualitative descriptive research. The data collection technique in this study was by means of Observation, Interview, Questionnaire and Documentation, when teaching students the teacher went through (3) stages, namely the initial, core and closing stages of using learning media, knowing the concept of learning media, who used learning media, the stages of making learning media and internal and external factors that were found when video-based learning media were applied, in the implementation of learning in the room, students were seen to be active and enthusiastic in participating in learning because the teacher used video-based media by sending videos via android with an attractive display and media on when learning takes place, so that learning is interesting and good.
Research on Security Architecture in Mobile Cloud Computing to Prevent Adaptive Anomaly Attacks

Cloud Computing is a very viable data storage structure where the users can store and access the data from anywhere. Cloud computing use is increasing at a very rapid pace nowadays. But as cloud allows us data accessibility quite easily data security is a major concern and is an emerging area of study. Other issues related to cloud computing are data privacy and internet dependency. On the other cloud computing also has wide range of benefits over traditional storage and accessibility environment such as scalability, flexibility and resource utilization. We have worked in the area of mobile cloud computing to analyse and solve the problems of anomaly attacks. Our work focuses on preventing the adaptive anomaly attacks and some other security issues of cloud computing
EFFECTIVENESS OF THE BINARY SEARCH METHOD IN DATABASE FILES IN THE CASE OF A GENERALIZED DISTRIBUTION OF PROBABILITIES OF ACCESS TO RECORDS.

The article presents a formula for calculating the mathematical expectation of the number of comparisons needed to nd a record in a le in the case of generalized distribution of the probabilities of accessing records. We compare the eectiveness of the binary search method in the case of generalized distribution of probabilities of access to records and Zipf's law.
Aplikasi pengenalan huruf hijaiyah untuk anak usia dini berbasis android menggunakan augmented reality

Smartphones are often used to control mobile applications as a means to access and process information.The use of smartphones is in great demand ranging from adults and children.In smartphones there are hundreds of the most interesting applications, games.At first the game was shown as a media to relieve boredom while learning, but this one feature not infrequently makes children forget time, thus causing children to be tired and lazy to learn.The form of technological advancements that can be utilized in the field of education is Augmented Reality which is a breakthrough in the world of multimedia and digital image processing that is advancing.The application is used for the introduction of hijaiyah letters for android-based early childhood.The making of this application uses Unity 3D software for marker hijaiyah letters and Vuforia.In implementation there will be a scanning process to bring up the 3D effect of the hijaiyah letters.The purpose of this study is the application of Augmented Reality on smartphones to reduce playing games and balance interest in learning hijaiyah letters early on.The results of research conducted indicate that the method produces better interest in learning for children.
CNNIWPSO: Convolutional Neural Network Inertia Weight based Particle Swarm Optimization

Finding optimal solution is the prime moto of every optimization algorithm.Among various optimization algorithms Particle Swarm Optimization (PSO) earned a place as an optimization problem solving algorithm, due to its simplicity.Many researchers worked on PSO in improving the efficiency of the PSO.By tuning Inertia Weight, PSO converge to the optimal solution.In this paper a new inertia weight tuning PSO, Convolutional Neural Network based Inertia Weight Particle Swarm Optimization (CNNIWPSO) is proposed.The performance of the CNNIWPSO is compared with Constant Inertia Weight PSO (CIWPSO), Random Inertia Weight PSO (RWIPSO) and Linearly Decreasing Inertia Weight PSO (LDIWPSO).The results shows that CNNIWPSO is outperformed.
EXPERIMENTAL VERIFICATION OF THE EFFICIENCY OF THE STRUCTURALFUNCTIONAL MODEL OF FORMATION OF PERSONAL-PROFESSIONAL IMAGE OF FUTURE CHOREOGRAPHY TEACHERS

According to modern requirements, the core direction of general art education is formation of schoolchildren's key cultural competence -an integrated personal entity that combines knowledge, attitudes, values, skills and competences in the field of national and world culture, ability to perceive, analyze and evaluate cultural phenomena at an accessible level, use acquired cultural activity experience in everyday life.Formation of key cultural competence occurs in educational and extracurricular activities.In the first case, the textbooks are the means of organizing this process.In particular, Olga Lobova's "Art" textbooks present a didactic-methodological system that provides for the holistic formation of the components of pupils' cultural competence: cultural orientation, awareness, development and upbringing.While working with textbooks, the national and international vectors of pupils' cultural competence are influenced.An example of implementation of intercultural direction in the extracurricular work of the modern school (also in art schools) is methodology of teenagers' vocal-jazz culture formation at pop singing lessons, developed by Anastasia Shevchenko.Proposed in its context scientific approaches, didactic principle, stages and methods of teenagers' vocal-jazz culture formation have proved their effectiveness in the process of implementation at pop singing lessons in music schools and extra-curricular work of general education institutions.Acquaintance with proposed ways of schoolchildren's cultural competence formation in educational and extra-curricular work will help improve future teachers professional and pedagogical training in the aspect of pupils' cultural competence formation.
Performance Evaluation of DLSARS Framework in Intelligent Product Recommendation Systems

The recommendation framework is vital tool for efficient E-commerce contacts between customers and retailers. Efficient and friendly contacts to find the right product have a huge effect on the sales results. In the basis of a technical approach, four of the program model guidelines are: collective filtering, content-based and demographic filtering. Collaborative filtering is considered superior to other methods in the list. Of necessity, in terms of fortuity, novelty and precision, it provides advantages. The DLSARS Framework is a deep learning-based sentiment analysis for the DLSARS recommendation system that uses deep learning models for a proposed system. The dataset selected for this research is synthetic dataset which consists of huge number of reviews for every product. The proposed models display superiorities and compare the findings with other existing models. The proposed DLSARS frame with bigram approach is superior to the other domain on the E-commerce domain.
PEMBERIAN HADIAH DAN HUKUMAN UNTUK MENINGKATKAN HASIL BELAJAR PKn KELAS VI SDN 020 LANGSAT HULU KECAMATAN BENAI KABUPATEN KUANTAN SINGINGI

Research on giving rewards and punishment to improve learning outcomes Civics CLASS VI SDN 020 LANGSAT HULU SUBDISTRICT OF KUANTAN SINGINGI REGENCY is aimed to improve learning outcomes of Civics students grade VI SDN 020 Langsat Hulu with gift and punishment penpada the learning process. The study was conducted on 30 students consisting of 13 male students and 17 female students. Data obtained through teacher observation sheet, student activity (punishment and reward) with observer grade teacher of SDN 020 Langsat Hulu. The test results are given at the end of the lesson by using formative tests then the data is analyzed with descriptive statistics. The results showed that the results of learning Civics grade VI students have increased. This result can be seen based on the value of learning outcomes that initially average tilapia 62 after being given gift gift modaling and punishment to 71, as well as student activity that has increased from treatment I to treatment II. This shows that the method of learning with reward and punishment can improve the learning outcomes of Civics students of class VI SDN 020 in the academic year 2007/2008.
Implemented PSO-NBC and PSO-SVM to Help Determine Status of Volcanoes

This research is a continuation of previous research that applied the Naive Bayes classifier algorithm to predict the status of volcanoes in Indonesia based on seismic factors. There are five attributes used in predicting the status of volcanoes, namely the status of the normal, standby and alerts. The results Showed the accuracy of the resulted prediction was only 79.31%, or fell into fair classification. To overcome these weaknesses and in order to increase accuracy, optimization is done by giving criteria or attribute weights using particle swarm optimization. This research compared the optimization of Naive Bayes algorithm to vector machine support using particle swarm optimization. The research found improvement on system after application of PSO-NBC to that of 91.3 % and 92.86% after applying PSO-SVM.
Combining Summative and Formative Evaluation Using Automated Assessment

[This Proceedings paper was revised and published in the 2019 issue of the journal Issues in Informing Science and Information Technology, Volume 16] Aim/Purpose: Providing both formative and summative assessment that allows students to learn from their mistakes is difficult in large classes. This paper describes an automated assessment system suitable for courses with even 100 or more students. Background: Assessment is a vital part of any course of study. Ideally students should be given formative assessment with feedback during the course so students and tutors can identify weaknesses and focus on what needs improvement before summative assessment, which results in a grade. This paper describes and automated assessment system that lessens the burden of providing formative assessment in large classes. Methodology: We used Checkpoint, a web-based automated assessment system, to grade assignments in a number of different computer science courses. Contribution: The students come from diverse backgrounds, with a wide range of ages, previous qualifications and technical skills, and our approach allows the students to work at their own pace according to their individual needs, submitting their solutions as many times as they wish up to a deadline, using feedback provided by the system to help identify and correct their mistakes before trying again. Findings: Use of automated assessment allows us to achieve the goals of both summative and formative assessment: we allow students to learn from their mistakes without incurring a penalty, while at the same time awarding them a grade to validate their efforts. The students have an overwhelmingly positive view about our use of automated assessment, and their comments support our views on the assessment process. Recommendations for Practitioners: Because of the increasing number of students in today’s courses, we recommend using automated assessment wherever possible.
Classification of Activities of Daily living using Smart Phones

Smart phones have become an integral part of everyday human life. These phones are packed with various sensors for different purposes. Most of them are used for understanding the environment in which the user uses the phone so that the device could respond rapidly. Indirectly the phone extracts context information of the users like the activity performed using accelerometer and gyroscope sensors. This information can be used for a variety of applications like home automation, smart environment, etc to perform automatic changes to the environment without direct input from the user. This paper deals with the classification of activities of daily living like walking, jogging, sitting, standing, upstairs and downstairs using the data collected from accelerometer sensor within the smart phone. A comparative analysis has been performed on different machine learning techniques for activity classification.
Identification of HATE speech tweets in Pashto language using Machine Learning techniques

From the last few years, researchers are very much attracted to sentiment analysis, especially towards hate speech detectionsystems. As in different languages procreation of hate speech has compelling and symbolic consideration on social media. Hate speech has a great impact on society, using hate words harms others dignity. Hate speech detectionsystems areimportant to stop the transformation of hate words into crimes. In this research,a frameworkis developedfor hate speech detectionsystemin the Pashto language. A datasetis created for which data is collected from Twitter. Because there is no related data available. Most of the research work has been done in this domain for other languages, and it’s very maturein the context of detecting hate speech. But when it arrives at the morphological languages not much work has been done especially in the Pashto language. This researchaimed and collected data from Twitter, Tweets related to ethnicity and religion. The data collected from twitter has been annotated manually and categorized the data as hate or not by comparing it with the offensive content. For hate speechdetection systemsto view the impact of different features/attribute this study performed experiments on the existing classifiers i.e.,SVM, Naïve Bayes, Decision tree and KNN. SVM produced the highest result at dataset of 500 i.e.,74% among all the classifiers. KNN and Decision Tree produced same result at dataset of 1500 i.e.,65.0%. Dataset of 2800 Decision Tree produced the highest result i.e.,72% and SVM produced 71.9%.
Evaluation of Emulation of a Search

Versatile symmetries and multi-processors have accumulated constrained enthusiasm from both driving experts and cryptographers over the most recent quite a long while. Given the present status of exceedingly accessible calculations, cyberinformaticians especially want the perception of Internet QoS, which encapsulates the hypothetical standards of programming building. In this position paper, we focus our endeavors on belligerence that online calculations and IPv7 are once in a while contradictory
Brain MRI Segmentation using Cellular Automata in k-Means Algorithm

Tumors in brain have a fast growth(malignant) and should be prevented through various medical ways. However detecting these tumor cells accurately can help the medical professionals to provide accurate and hassle free diagnosis and treatment. Thus we are using Cellular Automata to provide better detection methods in an MRI(Magnetic Resonance Imaging). Cellular Automat is widely used concept with image processing. It is a system which id discreet and dynamic and comprises of simple cellular grid and rules, and works locally. Due to simplicity and usage in complex problems it is widely used concept in many new emerging data science complex problems. Conway’s Game of Life is very well known cellular automata and thus researchers are becoming more interested in CA.
Operating the Panoptic Sort

This chapter emphasizes the nature of the panoptic sort as a discriminatory technology. It emphasizes the role played by surveillance, or the collection, processing, and analysis of data gathered from a variety of transactions, many of them commercial, but many involving bureaucratic institutions involved in governance. While there is already an extensive literature on the nature and usage of data gathered by governments, this chapter focuses primarily on the transaction-generated information gathered by corporations. Its coverage includes traditional data-gathering methods familiar to government and social service agencies, but also includes technological systems, including the rapidly evolving telecommunications network. Considerable attention is paid to developments in the use of computers for data processing and analysis, including a primary function of the panoptic sort: classification, clustering, and segmentation of individuals into groups. The chapter ends with a discussion of an important but emergent segment of the information marketplace, that served by organizations that generate extensive lists of categories or types of persons, often described in terms of their market, or policy-related value.
STUDENTS' DECISIONS IN THE LOGISTIC SIMULATOR

This paper presents the preliminary results of a research on users decisions in a serious game, called Logistic Simulator or LOST.We provide an analysis of the first stage of an ethnographic decision tree modeling based on 20 interviews with students' who have used the simulator as part of their class assignment.Results show great variability in students' forecasting and production decisions, and more homogeneity in decisions related to suppliers and orders of raw material.The concluding section explains the impact of these preliminary findings and drafts further steps to develop this research.
Super-Resolution for Mixed-quality Stereo Images based on Patch Matching

We propose a novel method for mixed-quality stereo images super-resolution (SR) based on patch matching.Previous related methods always put effort on disparity estimation which cannot achieve the accuracy for SR.In this paper, we directly utilize the information from the high-resolution (HR) image to reconstruct the low-resolution (LR) image.More specifically, the vanishing point estimation algorithm is adopted to identify the planes correspondence in the pair of images.Then we search the best matching patch for LR from HR in the corresponding planar area.Furthermore, we define a curvature criterion that can keep the patches with high-frequency information during patch matching process.Compared with state-of-the-art methods, the proposed framework gains 1.39 PSNR improvement and 0.003 SSIM improvement.
Vinaver Trust

Purpose: Vascular Cures, Wylie Scholar Program is building a pipeline of innovators in vascular health.We provide 3-year career development grants to outstanding young vascular surgeon-scientists who combine active patient care with
A Heuristic Model for Predicting Human Fall Detection using Machine Learning Techniques

It is very obvious that human fall due to unconsciousness is a very common health problem in every human being. With the evolution of many smart health devices, we should contribute the technological advancement of machine learning into it. Different techniques are already used in order to detect human fall detection in human beings. In this paper we have studied the patterns of falling of human through the fall detection dataset while this human was performing various motions. By understanding all these we have generated the prediction protocol which estimates the fall of a person using fall detection dataset. Machine Learning classifiers were used to predict the human fall and a comparative study of various algorithms used was developed to find out the best classifier.
List of reviewers for this Special Issue

Journal of Management StudiesVolume 57, Issue 1 p. 171-173 List of Reviewers List of reviewers for this Special Issue First published: 29 October 2019 https://doi.org/10.1111/joms.12541Read 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume57, Issue1January 2020Pages 171-173 RelatedInformation
Technical inventions that enabled artificial infant feeding

Artificial feeding of infants, called hand-feeding, was unsafe well into the 19th century. This chapter aims to identify technical innovations which made artificial feeding less dangerous. In rapid succession from 1844 to 1886, the vulcanization of rubber, production of rubber teats, cooling machines for large-scale ice production, techniques for milk pasteurization, evaporation and condensation, and packing in closed tins were invented or initiated. Remarkably, most of these inventions preceded the discovery of pathogenic bacteria. The producers of proprietary infant formula made immediate use of these innovations, whereas in the private household, artificial feeding remained highly dangerous—mostly because of ignorance about bacteria and hygiene, and partly because the equipment for safe storage, transport, preparation, and application of baby food was lacking.
Reviewing Effectiveness of Artificial Intelligence Techniques Against Cyber Security Risks: In Case of It Industry in Saudi Arabia

Aim: The aim of the researcher was to determine the effectiveness of artificial intelligence techniques against cyber security risks particularly in case of Saudi Arabia Method: Researcher has opted for quantitative method of research design along with primary data. The researcher collected the data from employees working in this I.T industry of Saudi Arabia. The sample size for this study was 468 and confirmatory factor analysis, discriminant validity, basic analysis of model and lastly, hypothesis assessment was carried out. Findings: The P-values of all variables were obtained as significant apart from expert system which had no significant relation with artificial intelligence and cyber security. Limitations: Geographical area, sample size, less variables and accessibility was the main issue.
PEDAGOGICAL SUPPORT OF THE PROCESS OF ECOLOGICAL SELF-EDUCATION OF FUTURE TEACHERS

The article is devoted to the search for a new approach to forming the personality of a modern person, able to adequately and timely respond to the challenges of reality.The latter include the need to protect the habitat from complete destruction through the creation of conditions for the formation of ecological self-education, since without each person realizing his dependence on the state of the surrounding nature, readiness for nature conservation and nature protection activities.It is impossible to change the current situation.The article theoretically and experimentally substantiates the importance of pedagogical support for increasing the effectiveness of the ecological self-education of future teachers.