Reviewerly/exHarmony huggingface dataset:
Authentication System and Method for Improving Security Login without Typing Password

<p class='IJASEITAbtract'>Authentication in the login process is an important thing that needs attention. The login process will involve a password that is owned by the user, while the password is private and confidential. If someone uses a weak password, the password is likely to be easily hacked. Authentication security needs to be improved, and hackers will get access to the login system with only a few attack techniques such as SQL Injection or sniffing techniques. Besides, the lack of awareness of users by creating weak passwords is easy to guess. Meanwhile, to create a strong password, consisting of upper- and lower-case letters, a combination of numbers and symbols, it is very difficult to remember. This is a very important problem in the login process. This study discusses the login authentication process that can perform login integration without typing a password, because passwords are generated repeatedly with the One Time Password (OTP) method, and use the Quick Response Code (QR) as its support. To disguise the data in the QR Code, which is applied by the Rivest-Shamir-Adleman (RSA) encryption algorithm, and will be tested on a web-based application. The login integration process, using the QR Code token application that runs on an android phone. Which functions as an OTP token generator, and a web-based application will read information from the QR Code token. The result is that with login authentication, this can increase the security and ease of the authentication process without typing a password.
Two Different C-Commands in Intra-Argument Structures and Inter-Argument Structures: Focus on Binding Principles B and A

Two Different C-Commands in Intra-Argument Structures and Inter-Argument Structures: Focus on Binding Principles B and A 의 이용 수, 등재여부, 발행기관, 저자, 초록, 목차, 참고문헌 등 논문에 관한 다양한 정보 및 관련논문 목록과 논문의 분야별 BEST, NEW 논문 목록을 확인 하실 수 있습니다.
Deep Learning in the field of Education

Educational Data Mining could be a analysis field that focuses on the applying of machine learning, information mining and statistical methods to detect patterns in massive collections of instructional information. Various machine learning techniques area unit applied throughout this field over the years, but it’s been recently that Deep Learning has gained increasing attention among the academic domain. Deep Learning may well be a machine learning technique supported neural network architectures with multiple layers of method units, that has been successfully applied to a broad set of problems among the areas of image recognition and language method. This paper surveys the analysis dole out in Deep Learning techniques applied to [EDM], from its origins to the current day. The most goals of this study to square measure to spot the [EDM] tasks that have benefited from Deep Learning and people that square measure unfinished to be explored, to explain the main data sets used, to produce an outline of the key ideas, main architectures, and configurations of Deep Learning and its applications to EDM, and to debate current progressive and future directions on this space of analysis.
ANALISIS PENERAPAN TEKNIK SKIMMING TERHADAP OPTIMALISASI PEMAHAMAN BACAAN MAHASISWA STKIP MUHAMMADIYAH MUARA BUNGO

This study aims to analyze the application of skimming techniques to the optimal reading comprehension on students of STKIP MB. This research uses a quantitative approach with quasi-experimental and descriptive research. This research was conducted on students of STKIP MB Academic Year 2018/2019. The conclusions of this study include: (1) the level of reading comprehension after applying skimming techniques is better than the reading comprehension level before applying skimming techniques performed on the same research subject, (3) the level of reading comprehension by applying skimming techniques is better than the reading comprehension level by applying conventional reading conducted on different research subjects. So, reading with skimming techniques has a significant effect on optimizing students' reading comprehension.
3D Facial Expression Recognition Method Based on Local Curvature

In order to improve the recognition rate and recognition speed of 3D facial expression recognition, the 3D facial expression recognition method is proposed by local curvature in this paper. First, the tip point of the nose is extracted by the face center profile, with the tip point of the nose as the reference point, searching for search windows of other feature points and automatically extract feature points through local curvature in its window. These feature points are composed into feature vector. Finally, K-means algorithm is adopted to expression classification. The theoretical analysis and experimental results both show that this method has greatly improve the recognition rate and recognition speed of 3D facial expression recognition.
The investigation on dynamic behavior of electric powered wheelchair during the obstacle avoidance

The increment of the People with Disabilities (PWDs) keep increasing in each year and an urge of assisting these PWDs is demanding. Commercial manual wheelchair eases the mobility of the PWDs but there is side effect for the manual wheelchair users that is pain on shoulder area due to extensive daily propulsion of manual wheelchair for mobility. Therefore, this paper presents an approach towards the autonomous wheelchair whereas concerning the PWDs that have disabilities from upper to lower limbs. These paper investigates the dynamic behaviour of the autonomous wheelchair during the obstacle avoidance. The experiment conducted on the Electric Power Wheelchair (EPW) with two different speed and as a first step before implementing self-navigation system in EPW. The objective of this study is to determine the behaviour of the autonomous wheelchair by using the intervention of human input on EPW. The EPW user will manoeuvre the EPW via joystick with several speed. This study focused on the changes in speed of both left and right tires and yaw angle during the obstacle avoidance. The data will be used as a reference for the development of an autonomous wheelchair during the obstacle avoidance. The data that manoeuvred manually also serve as the human-machine relationship whereas the data will be interpreted into the control systems that will be developed for the autonomous wheelchair. Based on the results, the experience does not affect the manoeuvring skill for both male and female students. Based on the yaw rate, the manoeuvring skills of male and female students could be defined which are 57.9% and 42.1% respectively.
A META-ANALYSIS ON EFL SECONDARY TEACHERS’ PROFESSIONAL COMPETENCES IN CHINA

Many researches about secondary English as a Foreign Language (EFL) teacher professional competences (TPCs) of senior high schools have been conducted through investigating teachers in some regions in China, which only reflect the status and development needs of local teachers. However, the relevant research conducted nationally was limited. Therefore, this study aims at exploring the status and needs of EFL secondary TPCs of senior high schools in China by using bibliometric method and content analysis of the meta-analysis. A review of relevant literature published between 2015 and 2019 was used to analyze the strengths and weaknesses of professional competences, causes and approaches discussed in the literature. Based on 25 studies, the results revealed that teachers have a medium level of pedagogical competence (PC). They are skilled in information and communication technology competence (ICTC) but scientific research competence (SRC) is very low. Curriculum competence (CC), reflective competence (RC) and assessment competence (AC) are low. Awareness of self-development and efficient in-service training are the key factors for improving professional competences.
Optimal Trajectory Generation

Motion planning is a core technology for autonomous driving. It must produce safe, human-like and human-aware trajectories in a wide range of driving scenarios. Whilst much progress has been attained in the perception and localization domains, digital representations of the world are still incomplete. As a result, understanding the spatio-temporal relationship between the subject vehicle and the relevant entities whilst constrained by the road network might be very difficult a challenge.
Aplikasi Media Pembelajaran Videoscribe Sparkol Pada Mata Pelajaran Kewirausahaan di SMK Harapan Kartasura

This research was conducted to determine the feasibility of Sparkcount videoscribe based learning media in entrepreneurial learning at Harapan Kartasura Vocational School. This research is a type of qualitative research with a case study research design. The type of data used in this study is qualitative data type. The data collected in the study to find out the application of video subscription sparkol media in entrepreneurship learning at SMK Harapan Kartasura and what obstacles it faces. Data collection techniques used in this study were observation, interviews, and documentation. Based on the results of observations of the learning process both before and after the research it was concluded that this media influences the activity of students in learning. As is known, the average activity of learning before the study was only 34.72%, whereas after the study of media application the average activity was 80.56%. Through the results of interviews conducted on two teachers it can be seen that positive responses emerge from the results of the interview answers. Through the assessment of student learning outcomes in entrepreneurship subjects material opportunities for light vehicles can be seen that there is an increase both in terms of KKM achievement and the average student learning outcomes. The achievement of KKM before the study was 33.33%, whereas after the study it increased to 87.50%. In terms of average student learning outcomes also increased from 74.38, after the study increased to 84.54%. So it can be concluded that the learning media based on the application Videoscribe Sparkol can be used and has a positive impact on entrepreneurship subjects at SMK Harapan Kartasura. Based on the results of observations and interviews conducted there are several obstacles in the use of this mediacribe sparkol media. These constraints are on the attention of students, the making and operation of media. These various obstacles can actually be overcome by a variety of more mature preparations, so that learning objectives can be achieved.
The Effectiveness of Cyber Learning Methods to Improve Learning Motivation in Interior Design Courses

The Interior Design courses emphasizing accuracy requires high learning motivation. One stimulus to grow motivation is by applying teaching methods that are in accordance with the characteristics of the course, namely cyber learning methods that also facilitate accuracy and efficiency. The purpose of this research is to improve learning motivation in interior design courses through cyber learning methods employing steps of project-based learning (PjBL). The study included quasiexperiments using two-group post test design. The instrument of learning motivation was adapted from McClelland’s motivational theory. The number of participants was 60 students divided in two groups. The first students group learned by using conventional methods (control group), while the second students group learned by using cyber methods (experimental group). The number of learning was 10 meetings. After completing the meetings, the two groups were measured based on the learning motivation. The results of the study indicate that cyber learning methods can increase student’s learning motivation in interior design courses. Result shows that the experimental group of students has higher learning motivation than students in control group who were leaved uninterfered with the conventional method—the lectures.
A construction and self-learning method for intelligent domain sentiment lexicon

A new method of building intelligent sentiment lexicon based on LDA and word clustering is put forward in this paper. In order to make seed words more representative and universal, this method uses LDA topic model to build the term vectors and select seed words. The improved SO-PMI algorithm has been used to calculate the emotional tendency of each sentiment word. In addition, the domain sentiment lexicon's automatic extension and update method is designed to deal with dynamic corpus data. Experiments show that the proposed method can build the sentiment lexicon with higher accuracy, and can reflect the change of words' emotional tendency in real time. It is proved in this paper that this method is more suitable for processing a large number of dynamic Chinese texts.
A Proximity-Based Measure for Quantifying the Risk of Vulnerabilities

Identification and remediation of the system vulnerabilities that pose the highest risk are crucial for maintaining the security posture of computer networks. In literature a large number of metrics available for vulnerability risk assessment. However, they fail to consider critical network risk conditions that affect the success of an adversary. Consequently, evaluation of the vulnerability risk based on current metrics is misleading, and hence, the derived vulnerability remediation plan often results in an ineffective application of countermeasures. To overcome this problem, we have proposed a comprehensive, integrated metric called Improved Relative Cumulative Risk (IRCR). For a given vulnerability, IRCR takes into account the CVSS Base Score, vulnerability proximity from the attacker’s initial position, and the risk of the neighboring vulnerabilities. The proposed metric tested on a synthetic network, and experimental results show that IRCR can be used effectively for assessing the security risk of each of the exploitable vulnerabilities. Based on the IRCR recommendations, an administrator can accurately determine top vulnerabilities and prioritize the vulnerability remediation activities accordingly. To validate the efficacy and applicability of the proposed method, we have compared the IRCR metric with the state-of-the-art attack graph-based metrics such as cumulative attack probability, and cumulative attack resistance. Experimental results demonstrate that the proposed IRCR metric can be complementary to the current attack graph-based metrics in measuring the influential levels of exploitable vulnerabilities.
Solving Linear Programs to Train Support Vector Ma­chines Under Differential Privacy

Differential privacy is a framework for sensitive data protection which can be used to obtain privately produced machine learning models. The challenge is to make the privacy­accuracy trade-off while still getting acceptable modelling results from private machine learn­ing algorithms. Support Vector Machines are a class of machine learning methods for solving classification problems. Algorithms for training Support Vector Machines under differential privacy exist and have been shown to produce models which perform almost as well as non-private models. Unlike these existing private solutions, which utilize quadratic pro­gramming formulations, Support Vector Machines can be trained by solving accompanying linear programming formulations. Solving these privately is an interesting application for both machine learning and linear optimization fields. This research explores the application of privately solving linear programs for training Support Vector Machines by putting a theo­retical framework to the test. Although the resulting algorithms do not outperform the state of the art in private machine learning modelling, this research paves a way towards solving different kinds of problems adequately while maintaining differential privacy.
MANAJEMEN SEKOLAH DALAM MEWUJUDKAN SEKOLAH SEHAT DI SMP ISLAM CENDEKIA CIANJUR (SICC) BOARDING SCHOOL

SCHOOL MANAGEMENT IN REALIZING HEALTHY SCHOOLS IN SMP ISLAM CENDEKIA CIANJUR (SICC) BOARDING SCHOOLThis researched aimed to have comprehensive findings based on factual datas and information about school management at SMP Islam Cendekia Cianjur (SICC) Boarding School interms in actualizing healthy school. The qualitative method was used in order to have a comprehensive description as an output about all managerial steps; planning, organizing, actuating, and evaluating the school management at SMP Islam Cendekia Cianjur (SICC) Boarding School. All data was collected by indept interview, observation and documentation, showed that: 1) Planning for healthy school at the SICC Boarding School was issued at the beginning of its establishment with the initial stage, focusing more on procurement and completeness of school medical room (UKS), 2) Organizing health schools is the authority of the principal where the implementation of this healthy school program is assisted by several personnel, the coordinator of healthy school , UKS builder, financial staff and the members, 3) Implementing of healthy school management is carried out by healthy school coordinators and other teams in the organizational list. The concept of healthy school at the SICC Boarding School is to develop superior programs from UKS, it is called UKS TRIAS, PHBS habituation, and the procurement of facilities and infrastructure for UKS, 4) Controlling is carried out by monitoring and evaluating directly by school principal as the chairman of the UKS organizational list. The Controlling is focused on three aspects; human resources focused on healthy school teams, the healthy school programme, and the procurement tools of UKS. Based on the results of the study, it is concluded that school management runs well with referring to the conditions and needs of school andcan be used as a reference model for other boarding school as well.
Solo Iconic Islamic Center Dengan Pendekatan Neo Vernacular

Religion in Indonesia has a very important role in people's lives. This is also written in the ideology of the Indonesian people, namely the Pancasila Almighty God. In Indonesia there are various religions consisting of Islam, Christianity, Catholicism, Hinduism, Buddhism, and Konghuchu. Indonesia is also the country with the most Muslim population in the world. Surakarta or Sala has a very important role in the development of Islam in Java. Surakarta Sunanate has been established for hundreds of years and has contributed to the spread of Islam. On the other hand the functions of the mosque in the present and the era of the Prophet are very different. Solo Iconic Islamic Center is a center that accommodates all Islamic activities and social aspects of the building with an emphasis on neo-vernacular architecture, which combines modern and traditional elements and is located in the city of Solo. The Islamic Center is expected to be able to accommodate all kinds of religious and community activities to be more efficient and effective in one complex. But still maintaining cultural elements and considering the development of modern technology in its design. It is also hoped that the existence of the Islamic Center will be a stage to re-create an atmosphere like in the time of the Messenger of Allah where the mosque is not only a place of worship rituals but as a center of Muslim activity.
iOS Accessibility Features – General

Apple's Human Interface Guidelines (often known as the HIG) are essential reading for anyone creating mobile apps for iOS – not just designers. The HIG sets out how Apple has worked to make UIKit flexible for you as an app developer but also clear and meaningful to your users.
Physical Model of Development of Assistance System Proficiency Test for Ubiquitous Learning-Based Information Competency Competencies

Supporters compete for resources required for Technological changes, which usually a trade-off, involving many stakeholders, who are aware of changes. Understanding how to connect assets for learning is as important as the content because the knowledge of what is needed for tomorrow is very important. Furthermore, the Mentoring System openly conducted for the proficiency tests, in the field of informatics, which is an alternative in solving problems in the Industrial Revolution 4.0. This article presents a study of open mentoring and also provides answers to how information and communication technology facilitates the education process. The Research and Development characteristics of the model developed, broadly combines 3 interrelated system development prototypes, which include the Borg and Gall as the backbone, Hannafin, and Peck as the interaction process, and the waterfall model serves as the creator of the mentoring application system. However, it is expected that the final results establish a digital learning platform, from national and international standard certification programs, based on the Professions and Competencies, provided by industry and associations. However, other consequences include, to bridge the gap between the industrial world and university, as a physical standard, to obtain evidence from empirical data for Certification. Furthermore, it is also relevant as a Test field of IT based Ubiquitous study, based on its impact, by increasing the competence in the field of informatics, for students and lecturers in Higher Education, department of Informatics and Computer Science Indonesia.
Enhancing the OPEN Process Framework with Service-Oriented Method Fragments

Service-orientation is a promising paradigm that enables the engineering of large-scale distributed software systems using rigorous software development processes. The existing problem is that every service-oriented software development project often requires a customized development process that provides specific service-oriented software engineering tasks in support of requirements unique to that project. To resolve this problem and allow situational method engineering, we have defined a set of method fragments in support of the engineering of the project-specific service-oriented software development processes. We have derived the proposed method fragments from the recurring features of eleven prominent service-oriented software development methodologies using a systematic mining approach. We have added these new fragments to the repository of OPEN Process Framework to make them available to software engineers as reusable fragments using this well-known method repository. Keyword. Service-Oriented Software Development, OPEN Process Framework, OPF Repository, Method Fragment, Situational Method Engineering
An Efficient Approach for Credit Card Fraud Detection

The purpose of this research paper, the topic of credit card fraud detection has gained and developed fraudsters are increasing day by day among researches because of their frequent look in varied and widespread application within the field of various branches of information technology and engineering. For example, genetic algorithms, Behavior-based techniques, and Hidden Marks models are also used to address these problems of technology. Credit card fraud detection models for transactions are tested individually and proceed to whatever is most effective. This thesis aims to detect fraudulent transactions and develop some method of generating test data. These algorithms are a predictive approach in solving high complexity computational problems. We discussed a new method to goal or deal with detect fraud by filtering the above techniques to induce an improved result. These algorithms are a predictive approach in solving high complexity computational problems. It is an adaptation technique and evolutionary discovery that supports the existence of genetic and fittest. Implementation of efficient credit card fraud detection systems is mandatory for all credit card issuing companies or their customers to reduce their losses.
LibGuides: Map Collections at USU Libraries: Digital Maps

Looking for maps in USU Libraries collections? See all of your options in one place with this guide.