Reviewerly/exHarmony huggingface dataset:
Edge–Texture-Based Characteristic Attribute on Local Radius of Gyration Face for Human Face Recognition

It is a well-known fact that most of the edges in an image can be spotted on the facial segments and they have a place on the image’s high-frequency components. Besides edges, another crucial feature for face matching is the texture. Therefore, both edges and texture can have significant contribution in extracting facial attributes and thus in human face recognition. This paper puts forward a novel edge–texture characteristic attribute for human face recognition based on the concept of radius of gyration face, which is invariant to changes in illumination, rotation and noise. The supremacy of the proposed approach in human face recognition is exhibited when its recognition accuracy is compared with other recent state-of-the-art techniques over challenging databases like CMU-PIE database, Extended Yale B database, AR database and CUFS database under varying conditions of illumination, noise, rotation and face sketch recognition.
IMPLEMENTATION OF STAD TECHNIQUE BY USING ONLINE NEWSPAPER MEDIA IN IMPROVING STUDENTS READING ACHIEVEMENT

18Mar 2020 IMPLEMENTATION OF STAD TECHNIQUE BY USING ONLINE NEWSPAPER MEDIA IN IMPROVING STUDENTS READING ACHIEVEMENT Muhammad Arifin and Yuli Yunira English of Education, University of Muhammadiyah Sumatera Utara, North Sumatera, Indonesia.
An Analysis of Trends in the Assessor’s Practical Use of the Holistic Admission System of School Life Records through AHP

이 연구의 목적은 학생부종합전형 평가에서 서류평가 자료 중 평가위원이 중점적으로 고려하는 전형자료를 확인하여 학생부종합전형의 정성적 평가 경향성을 분석하는데 있다. 이를 위해 전임사정관과 위촉사정관을 대상으로 AHP(Analytic Hierarchy Process) 방법으로 조사하고 자료를 분석하였다. 연구 결과 모든 분석에서 평가위원별, 경력별, 대학유형별로 세부적으로 분석하였을 때는 순위가 다른 경우가 있었지만, 전반적으로 일정한 평가경향성을 확인할 수 있었다. 전반적으로 평가 경향성이 다르다고 보기는 어려웠지만 세부적으로는 다른 경우가 있어서 평가 경향 분석 결과가 입학사정관 교육에 활용되기를 기대한다. 조사 대상 입학사정관들의 소속 대학이 다양함에도 불구하고 평가경향성이 전반적으로 비슷하였다는 점에서 입학사정관의 자의에 따라 평가하기보다는 대체로 일관된 평가기준에 따라 정성적 평가가 이루어지고 있다고 볼 수 있었다. 이는 일부 언론에서 학생부종합전형을 ‘깜깜이 전형’으로 평하며 공정성에 대해 지적하는 데 대한 반박증거로도 활용될 수 있을 것이다. 본 연구에서 학생부종합전형 서류평가의 정성적 평가 과정에서 평가위원들의 평가 경향성에 대한 현상을 파악함으로써 학생부종합전형의 공정성 제고에 이바지할 수 있는 하나의 방안을 모색할 수 있었다. 평가 경향성 분석은 향후 학생부종합전형 평가 결과 공개에 활용할 수 있고 평가경향성 확인을 활용해 지속적으로 입학사정관 교육이 실시된다면 학생부종합전형의 공정성 확보에 기여할 수 있을 것이다.The purpose of this study is to analyze the assessor s tendency to evaluate document in the holistic admission system of student school life records and to provide suggestions on the fairness of in the holistic admission system. To achieve this objective, the survey was conducted on admissions officers using Analytic Hierarchy Process(AHP) method. According to the study, in the first tier, school records and self-introduction books were shown in order. In the area of the school records section of the second tier, it was shown in order of academic grades, club activities, behavioral characteristics, and general opinions. In the self-introduction letter section of the second tier, it was shown in order of academic studies, school activities, and consideration and sharing. In the third tier s award-winning career, it was in order of the content of the award, the number of awards received, and within the course of career exploration and effort, and in the course of career desire uniformity. Within the self-regulated activities, the list was based on the activity contents and the role of the position, and within the club activities, the details of the application department and activities were followed. Within the volunteer work, it was shown in order of volunteer activities, service hours, and within the development situation of teaching and learning, achievement, detailed ability and speciality were shown in order. In the reading activity, the content of the reading and the volume of the reading were shown in order. As the result of this study, Overall, it was difficult to say that the evaluation trend was different, but there were cases in which each member of the survey was different, by experience, and by type of university. In particular, the qualitative assessment is well-evaluated based on a certain standard of assessment and the fairness of the assessment is ensured, given that the survey participants have a similar tendency toward overall evaluation, even though they are admissions officers belonging to various universities. Evaluation trend analysis can be used to disclose the results of a comprehensive student assessment in the future, and will further contribute to ensuring fairness in the assessment.
Emergency Case Report Application Applying Location Based Service Framework on Mobile Smart Devices

People in Thailand always rely on a calling channel using tele phone. 191 is as an official number to get assistance when a critical or emergency case happens e.g. accident, crime, medical issue and robbery. However, calling channel operated by officer cannot retrieve caller’s location information automatically. The best clue is caller’s cell site or base station where the caller is when they are making a contact. Moreover, many cases that callers do not know exact location where they are or sometimes they have inaccurate position information i.e. wrong street name or wrong address. Then, emergency dispatch team may not be able to arrive at the right location efficiently on time. This work applied Location Based Service framework (LBS) to develop an Android mobile application used for reporting critical and emergency case to the authorized officers. Users can select assistant topic or incident case and request for relevant dispatch team on demand. This application will send geolocation information automatically to the officer how to reach out the reporter via road map navigation system. This application also provides several statistics and reports. This mobile application also helps to prevent false or pranking report because a lot of user’s information will be provided automatically to the authorized officer e.g. IP address, GPS location, and cell phone number. These unique pieces of information will make user realize how serious this report is and avoid making a prank report for fun.
Space Time Exploration of Musical Instruments

Author(s): Munoz, Isaac Garcia | Advisor(s): Smyth, Tamara | Abstract: Musical instruments are tools used to generate sounds for musical expression. Virtual Reality (VR) and Augmented Reality (AR) musical instruments create sounds that may be spatially disjointed from the instrument controls. Spatial audio processing can be used to position the Extended Reality (XR) musical instruments and their corresponding sounds in the same space. This dissertation investigates novel ways of combining spatial reverb models to improve the naturalness of XR musical instruments. Seven spatial reverb systems, combinations of a shoebox spatial reverb model, a raytracing spatial reverb model, and measured directional room impulse response convolution reverb, were compared in a pilot study. A novel hybrid system of synthetic early reflections and directional room impulse responses was preferred for naturalness when tested over headphones with three instruments created by the author: AR electric guitar, AR drumset, and VR Singing Kite. This research culminated in a concert, Spherical Sound Search, which showcased the preferred hybrid system, the three XR musical instruments, and four re-contextualized spatial audio effects (spatial looping, spatial delay, spatial feedback, and spatial compression). The three pieces in the concert explored different aspects of XR modalities and presented the novel system with spatial audio effects to a larger audience by rendering to an octophonic loudspeaker layout.
Being More Confident In Speaking English

This is  especially  true  when  it comes to  speaking. However, there are a few great ways to give your English confidence a boost, so that you’ll soon find speaking English comes easier than ever. In this article, we will discuss the issues  associated  with  the  problems  of  confidentially  speech production.
THE STUDENTS’ ABILITY OF USING PRESENT CONTINUOUS TENSE

The objectives of this study to describe (a) the first grade students of Junior High School Tunu-Tuibi Maliana able to use present continuous tense, and (b) the level of ability in using present continuous tense. The method that used in this study was the qualitative method, and responders of the study were 21 students of the first grade students of junior high school Tunu-Bibi Maliana in the school years 2019. In order to analyze the level of ability in using present continuous tense, the researcher administered the test to the students with the total number of test were 40 numbers of multiply choices.The result of the test showed that 4 students got Excellent Level (19%), 6 students got Very Good Level (29%), 2 students got Good Level (10%), 5 students got Fairly Good Level (24%), 3 students got Average Level (14%), 1 student got Below Average Level (4%). And the average score of whole students was 80%. Finally it concluded that the first grade students of junior high school Tunu-Bibi Maliana in the school year 2019 were able to use the present continuous tense and their level of ability was GOOD based on the standard of measurement that has being used in this respective school. Keyword: Students, Ability, Present Continuous Tense
Guidance and counselling interventions among secondary school students of Uttar Pradesh- an Analysis

The concept of giving education for the enhancement of cognitive aspect alone has been taken away long back. The purpose of any level of education system is to foster the all-round development of students. The school plays a major influence in enhancing the behavior and modifying the personality of the students in all respect. Each and every student should feel that they are being cared and secured throughout their education. In order to ensure this, teachers should have clear cut idea about their students related to their aptitude, attitudes, socio economic background along with wide range of personal and social aspirations. The responsibility of making the students productive and useful citizens are vested in the hands of teachers.
Brief Euler circle instruction as a practical aid for solving on-the-job logical problems

Workers are often confronted with on-the-job decisions which, at base, require the solution to logical problems but many are not very good at such tasks. A Euler circle instruction technique for solving syllogistic problems, taking only a few minutes, was here developed. Use of this technique was shown to be significantly beneficial increasing mean correct response score by about seventy percent.
Implementation of Digital Image Encryption Algorithm Based on DNA Coding and Chaos Theory

Abstract Because of the large amount of data and high redundancy, digital image can not be encrypted by traditional methods. The method based on DNA and chaos theory can be used for image encryption. The experimental results show that the gray value of the image after encryption is randomly and evenly distributed, which directly loses the features of the original image. The histogram is balanced, the correlation between adjacent pixels is low, and the information entropy is close to the ideal value, which shows a good anti cracking ability and can restore the image well.
Construction of Law Network Courses in Higher Vocational Colleges

The rapid development of 5G mobile networks in the new era is also a new revolution for the education industry. The gradual improvement of online courses provides the key time and opportunity for higher vocational students to improve their legal literacy. In order to allow students to make the most effective legal knowledge storage in the shortest time, in the construction of online courses, we should always adhere to the student-centered, scientifically plan the content and chapter design of online courses, integrate the current legal textbooks, and combine the characteristics and needs of higher vocational students to keep abreast of social life and work needs, constantly update the online courses, reform the education model, and actively cultivate basic legal literacy for students to integrate into social life, effectively improve students’ practical ability to combine practical learning with practical application.
Episodes in the Life of a Chair: Dealing with Change

The Department ChairVolume 30, Issue 4 p. 8-9 Articles Episodes in the Life of a Chair: Dealing with Change Stephen Aldersley, Stephen AldersleySearch for more papers by this author Stephen Aldersley, Stephen AldersleySearch for more papers by this author First published: 02 April 2020 https://doi.org/10.1002/dch.30311Read 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. Volume30, Issue4Spring 2020Pages 8-9 RelatedInformation
Identification and translation of verb+noun Multiword Expressions: A Spanish-Basque study

The Spanish Ministry of Economy and Competitiveness, who awarded Uxoa Inurrieta a predoctoral fellowship (BES-2013-066372) to conduct research within the SKATeR project (TIN2012-38584-C06-02).
E-commerce evaluation text classification algorithm

Abstract Based on the research results of the false evaluation and identification of e-commerce shopping, this paper analyzes the characteristics of the evaluation content of the merchant’s brush list. In order to solve the problem that the convolutional neural network (CNN) model is difficult to capture the feature information of the whole evaluation text in the false evaluation identification task, a convolutional belief network (CBN) model based on keyword weighting is proposed. Firstly, the TF-IDF algorithm is used to construct the keyword set, then the word vector is weighted by the keyword vector. Then use restricted boltzmann machine instead of the pooling layer of CNN model to reduce the dimension; finally, the weighted word vector is classified by this algorithm model to complete the recognition task of false evaluation text.
The Use of the Project Method in the Development of Students of the Second – Fourth Grades of the Russian Language Program

The article reveals the experience of using the project activities of younger schoolchildren in the process of forming their informed literacy when&#x0D; learning the Russian language. Examples of projects are described in which various language problems are solved. A course “Extracurricular&#x0D; activities”, created by the author taking into account the requirements of the Federal State Educational Standard of Primary General Education&#x0D; and the Russian language program for extracurricular activities, is offered. The course content includes a variety of didactic word games, game&#x0D; exercises that stimulate students’ interest in the Russian language, develop their imagination and creative abilities.
Towards Particle Tracking Velocimetry of Cell Flow in Developing Tissue Using Deep Neural Network

In medical and biological research, measurements of cellular dynamics have been paid much attention in recent years. Among such quantifications, particle tracking velocimetry (PTV) of cells is one of the major tools to elucidate the dynamics. For this purpose, it is critical to establish precise detection of individual cell positions at different timepoints. However, in live imaging of confluent cell system, cells are densely packed and touching images of nuclei prevent naive PTV analysis. In this work, we focus on precise detection of cell nucleus positions particularly in a very confluent situation and construct the detection algorithm with deep neural network (DNN). We have tested our system in the case of fly pupal wing epithelium and found the centers of the spots within nuclei with high probability. An implementation of this spot detection to PTV and an extension of DNN to recurrent neural network model (RNN) will also be discussed.
Early Warning Systems: A Proactive Approach

Law enforcement is just like any other industry when it comes to personnel issues arising from both on and off the job incidents. This in no way is saying that law enforcement has an abundance amount of officers who are corrupt or produce constant acts of misconduct. It is only a way to show that departments need systems in place to assist them with correcting the issues. Most police departments would indicate that a small percentage of officers are responsible for the constant citizen complaints, use of force situations, pursuits, and other forms of misconduct that require a supervisor’s attention. A poll of approximately 14,000 law enforcement supervisors in the United States described a problem employee as negative, unwilling to accept responsibility for their actions, and manipulative with rules from administration (“5 ways,” 2017). Early warning systems can help supervisors identify these officers, intervene with them, and monitor their subsequent performance after consultation. Early warning systems are a vital tool to increase responsibilities of front line supervisors with leadership being the primary key founded on accountability, while maintaining adequate interpersonal communication and follow up both on an off duty. Law enforcement agencies should mandate the implementation of programs geared toward identifying and helping problem officers. In this research, the impact of early warning systems in relation to altering misconduct and alerting supervisors when issues arise to better serve the community and officer involved will be discussed. An effective early warning system can improve officer performance, reduce citizen complaints, increase accountability from supervisors, improve morale, and lower liability that departments face through litigation while highlighting training needs (Schultz, 2012).
Achieving Eye-Clean Visual Fidelity: How Eye Tracking and Digital Lens Correction Enable a Breakthrough in VR/AR HMD Picture Clarity (Conference Presentation)

Achieving Eye-Clean Visual Fidelity: How Eye Tracking and Digital Lens Correction Enable a Breakthrough in VR/AR HMD Picture Clarity
On the Construction of English Major’s Practice Teaching System Based on the View of Diversified Talents

The diversified needs for talents put forward new requirements for practice teaching, which requires the systematic construction of practice teaching system to meet the social needs and the personalized needs of students. This paper discusses the construction of the practice teaching system of English Majors in details through four ways: optimizing the objective system of practice teaching, reorganizing the form and content of practice teaching, innovating the evaluation system and improving the guarantee system of practice teaching, so as to improve the practice teaching continuously and build a complete and scientific practice teaching system.
Develop and maintain a cybersecurity organisational culture

Presented in: Proceedings of the 14th International Conference on Cyber Warfare and Security, Stellenbosch University, 28 Feb - 1 Mar 2019. Due to copyright restrictions, the attached PDF file contains the abstract of the full-text item. For access to the full-text item, please consult the publisher's website.
Developing ELT Reading Skills Materials for Pharmacy at UIN Alauddin Makassar

The research was designed to develop the reading materials for the student of Pharmacy Department at UIN Alauddin Makassar. The Research and Development model implemented in this study was ADDIE (Analysis, Design, Development, Implementation, Evaluation) model which is a basic framework for materials development. This study involved 84 respondents i.e. 60 students, 20 graduates, 2 lecturer, and 2 experts from pharmacy department at UIN Alauddin Makassar. The research questionnaire was for students, graduates, lecturer, and experts in need analysis the interview guideline for the students.  In connecting the data, the researcher used two method, questionnaire and interview. From this study revealed the students’ target needs in material of Reading for pharmacy. The Data from the students’ need becomes the basic of the syllabus design. Subsequently, the unit of the materials was developed as an output of this study. For further research, this research can be applied for both teachers and the next researcher. This research can be helpful to be the guideline in further research especially for the developing material. Also the result of this study can be the primary materials for pharmacy.
Analysing Pearl’s Do-Calculus

Here, we analyse Pearl’s do-calculus. The paper illustrates the proof of the three rules of the do-calculus. The concepts and notations of Kronecker delta function and d-separation theorem have been discussed. The concepts of uprooting and mowing a node have been explored in this paper. We present graphs to explain the concepts of subgraphs and augmented graphs. The paper also highlights the differences between Bayes’ conditional probability and do-operator. Shafer’s probability trees are also illustrated in this paper. The nodes of these trees denote events and the edges represent the probabilities of various outcomes. The complicated concepts as described by David Hume and Abraham De Moivre have also been covered in this paper. An example showing a chemical causation of nature has been cited to illustrate these concepts. The paper also explores some of the applications of do-calculus in the real world. The do-calculus can be used in IoT systems. It can be used for fault diagnosis in automobiles and vehicular systems. It also finds applications in medical science by helping patients in choosing treatment options. It also helps to explore whether genes play an important part in inheritance of diseases. It also finds applications in domains of machine learning such as computational advertising.
Internet Traffic Detection and Classification Using Machine Learning

Growth of Internet resulted in increased number of Internet users along with wide use of Internet. Besides its advantages, the disadvantage of this exponential rise is excess data flooding on the network. To ensure good quality of service, to maintain the speed of Internet, to secure the data flowing on the network, it has become essential to monitor and control the data traffic. Analysis of dataflow involves categorizing it into different types and further filtering it. On the basis of port numbers, payload information, source and destination IP address or statistical information, the data packets are categorized. This paper discusses classification of Internet traffic into different transaction protocols categories, on the basis of statistical parameters such as inter-packet arrival time, time to live, duration of packets and number of packets on the network. Categorizing using statistical parameters prevents invasion of packet data and preserves data privacy. Use of machine learning reduces human intervention in monitoring the Internet traffic. Classification of Internet traffic in the UNSW NB 15 data set is done using five machine learning algorithms, which are K-nearest neighbours, Naïve Bayes, artificial neural network, decision tree and random forest. The aim is to achieve maximum accuracy in minimum execution time. Amongst all algorithms, random forest algorithm gives best result with classification accuracy of 85%. Decision tree requires least execution time and gives accuracy almost equal to random forest algorithm.