Reviewerly/exHarmony huggingface dataset:
THE RELATIONSHIP OF FAMILY ENVIRONMENT, SCHOOL ENVIRONMENT AND THE ROLE OF THE TEACHER IN THE LEARNING PROCESS WITH THE MOTIVATION OF LEARNING IN STUDENTS OF CLASS XI PROGRAMS MACHINING SMK N 2 KARANGANYAR SCHOOL YEAR 2017/2018

The research aims at finding the correlation between family environment, school environment, teachers role, school environment with motivation of learning of the students in Grade XI of Mechanical Expertise Program of State Vocational High School 2 of Karanganyar. This research is correlational. The population of this research is all off the students as many as 102 in Grade XI of Mechanical Expertise Program of State Vocational High School 2 of Karanganyar. The sample of research were taken by using the simple random sampling technique and consist of 80 students. The variables of research consisted of three independent variables: family environment, school environment and teacher role in learning process, and one dependent variable that is learning motivation. Methods of data collection using questionnaire method. Questionnaire method used to collect data of family environment variable, school environment, role of teacher in learning process and motivation learning. The questionnaire test was conducted on 30 students. Validity and reliability test using SPSS version 21.0. The results showed, there are significanly corelation between two element.
Симфоническое творчество авета Тертеряна в контексте отечественного музыкального постмодерна

The article briefly discusses the historical and semantic specificity of two (“social-realistic” 1930–50s and “true” 1960–80s) periods of the native musical postmodern of the XX century. In the context of critical and spiritual creative tasks of the epoch of the 1960–80s the specificity of the content of A. Terteryan’s symphonies which absorbed traditions of the East and the West is analyzed. For the first time, from the standpoint of intertextuality, the symbolism of the “wave” forms of musical sonorica going back to the ancient roots of oriental culture — decorative and symbolic creativity-is considered. The new approach allows to interpret more correctly the intentions of the symphonies by A. Terteryan. Native and foreign theories of postmodernism, intertextuality, semiotics which are developed in various forms of art (literature, painting, decorative arts, music) were the theoretical basis of the study.
USABILIDADE DE APLICATIVOS DE SEGURANÇA COLABORATIVA PARA SMARTPHONES: UMA REVISÃO SISTEMÁTICA

The society is permeated by devices connected to information networks through the Internet. The mobility offered by mobile devices such as smartphones is a key element in the dynamics of information today. Still, the lack of security is one of the problems that afflict most Brazilians in recent years and mobile devices are being used to mitigate it. This research aims to carry out a systematic review of the literature in order to identify the different approaches on testing and usability of applications that promote collaborative security checking the state of the art in this domain.
Website Development and Search Engine Optimization

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Image Mosaicing Using Inertial Navigation System for Increasing Match Information in Scene Matching Navigation System

Scene matching is one of the key techniques to revise the positioning accumulation error of Inertia Navigation System (INS) for many kinds of unmanned air vehicles (UAVs). When the altitude of aircraft is too low or the ground texture is not rich enough, the traditional scene matching method might fail to get reliable positioning results because of lack of match information. Based on those considerations, we present a new synchronous mosaicing and matching technique based on image mosaicing using INS information to increase match information for scene matching navigation system. In order to achieve image mosaicing, the attitude information measured by INS at imaging instant are used to geometrically transform real-time images to a unified reference coordinate system. Using this scheme, we can eliminate the geometric distortion between real-time images, and then achieve image mosaicing accurately and reliably. In order to ensure the real-time performance of the system, we present a new synchronous mosaicing and matching technique (SMMT). Because of the increase of match information, our method can get more reliable positioning results, and also can reduce the requirement for image texture. Scene matching using many real-time images obtained from the electro-optic pod system clearly justify our method.
A Novel Text Sample Selection Model for Scene Text Detection via Bootstrap Learning

Text detection has been a popular research topic in the field of computer vision.It is difficult for prevalent text detection algorithms to avoid the dependence on datasets.To overcome this problem, we proposed a novel unsupervised text detection algorithm inspired by bootstrap learning.Firstly, the text candidate in a novel form of superpixel is proposed to improve the text recall rate by image segmentation.Secondly, we propose a unique text sample selection model (TSSM) to extract text samples from the current image and eliminate database dependency.Specifically, to improve the precision of samples, we combine maximally stable extremal regions (MSERs) and the saliency map to generate sample reference maps with a double threshold scheme.Finally, a multiple kernel boosting method is developed to generate a strong text classifier by combining multiple single kernel SVMs based on the samples selected from TSSM.Experimental results on standard datasets demonstrate that our text detection method is robust to complex backgrounds and multilingual text and shows stable performance on different standard datasets.
Cybersecurity Compliance Is Necessary but Not Sufficient: Bad Guys Don't Follow Laws

Presents the introductory editorial for this issue of the publication.
Factors Influencing Employee Satisfaction in Education Sector at Sana’a, Yemen

The employee's satisfaction has been revealed to be important to the success of the company's goals particularly in constructing competitive benefit above other establishments.This research aims to investigate on the impact of human resource practices to employee satisfaction in education sector in Sana'a Yemen with consideration of the current status of the country, and explore the factors that affect satisfaction.Centred on prior studies, the other investigators established that there is a direct connection among those variables (human resource practices) and satisfaction of employees.The prime facts of this study was gathered by assigning questionnaires to corresponding teachers in 8 public high school in Sana'a Yemen.The reliability test was fulfilled as Cronbach's Alpha, which displayed rational reliability grades with more than 0.9 alphas.Pearson Correlation Coefficient is used to examine the strength of answers from the questionnaires that were gathered.Largely, several variables obtained coefficient ranging from ±0.7 to ± 0.85 which specified modest to high strength of relationship.Finally, the results in this research is demonstrate the issues which are the human resource practices, having important connection with employee satisfaction in education industry.These independent variables action a vital role in touching employee satisfaction, and should be more anxious by the government.Furthermore, this investigation also provided researcher practitioner valued in depth for upcoming studies.
Quasiprobability Representation for Quantum Correlations and Measurements

Quasiprobabilities provide an intuitive means for characterizing quantum states. Here we present a unified framework that combines recent theoretical advances, and we discuss experimental implementations, such as the first reconstruction of entanglement quasiprobabilities.
Efficient Method for Privacy Preservation Using δ-Presence Based on Heuristic Approach

Now days Data and Knowledge extracted by data mining techniques represents a key asset driving research, innovation and policy making activities. the data publication and data security are still very difficult. Data offense contains personally identifiable information and therefore releasing such data may result privacy breaches. In these paper work on medical data privacy using proposed model for improve efficiency and time complexity using δ-Presence with K-Medoid for allow specific data and also secure it.
The Role of Service Quality in Enhancing Customer Satisfaction in Jordanian Public Universities

The relationship between university student orientation, perceived education service quality (education quality, supervision quality), and student satisfaction of engineering student in public universities in the south of Jordan is the main purpose of this study.The three main public universities (Mutah, Al-Tafila and Al-Hussein) were included in this research represented by their faculties of engineering.Statistical techniques were used in analyzing all data by using statistical program (spss v.23) as well as the tools and methods of statistics such as simple and multi regression analysis, and path analysis using OMOS7 program.Verification of validity of the survey as well as the relatability and the internal consistency has been assured with respect to all standards.The statistical analysis indicates a medium level of student orientation and a slightly high level of perceived education service level which made students less satisfied.Student orientation affects positively perceived education quality as well as student satisfaction, in addition the two components of education service quality have a considerable influence on student satisfaction.As shown from statistical analysis, influence of student orientation on education quality and student satisfaction is clear, paying more attention to quality dimensions by universities, and improving supervision quality in addition to the importance of the positive influence of service quality education on student satisfaction are some of the most important recommendations of the study for both public universities in Jordan and researchers who are interested in this type of studies.
Launching Python from PowerShell

So far, the approach to integrating Python with PowerShell has been to launch PowerShell scripts from Python as a subprocess. In this chapter, the roles will be reversed, and PowerShell will feed data to Python scripts. One of the key elements of PowerShell is pipelining the process of transferring the results of one CmdLet to the next. With that in mind, why not treat Python as just another pipeline element and execute Python scripts driven by data acquired by PowerShell?
Analysis of career decision and career development efficacy of vocational high school students between 2006 and 2016

본 연구는 중등 직업교육 정책 추진 전과 후 시점을 중심으로 직업계 고등학교 학생들의 진로결정 및 진로개발효능감을 학생 개인 학교 가정 변인들을 고려하여 분석하는 데 목적이 있다. 이를 위해 10년간의 격차를 두고 동일 학년을 조사한 한국교육고용패널Ⅰ의 3차년도(2006년) 자료와 한국교육 고용패널Ⅱ의 1차년도(2016년) 자료를 활용하여 연구를 진행하였다. 특히 10년간의 격차를 두고 있는 중등 직업교육 정책 시행 전과 후를 비교 분석하기 위하여 두 집단 간 존재하는 선택 편의의 문제를 해결하며 집단 간 동등성을 확보해주는 경향점수 매칭(propensity score matching) 방법을 활용하여 분석하였다. 분석결과, 10년간의 변화양상을 비교하였을 때 2006년과 2016년의 일반계고와 직업계고의 총 학교 수와 학생 수는 큰 변동을 보이지 않았지만 2016년 직업계고 학생들의 졸업 후 취업률이 진학률을 넘어서는 결과를 보였다. 또한 중등 직업교육 정책 시행 이전보다 이후의 개인 가정 학교에 대한 만족도가 증가하는 것으로 나타났다. 이와 같은 집단 간 차이를 통제한 뒤 두 시점별 진로교육 성과를 분석한 결과, 진로결정과 진로개발효능감 모두 2006년 전문계고 학생들 보다는 2016년 특성화고 학생이 높았으며, 2016년 특성화고 학생들보다는 마이스터고 학생들이 높은 것으로 나타났다. 마지막으로는 이러한 연구결과를 바탕으로 효과적인 중등직업교육 정책 시행을 위한 정책적 시사점 및 후속연구의 방향을 논의하였다.The purpose of this study was to analyze the difference between career decision and career development efficacy of vacational high school students before and after the promotion of secondary vocational education policy considering various school and student variables of students. To do this, the propensity score matching was adapted to KEEPⅠ2006 data and KEEP Ⅱ2016 data that examined the same grade at 10 years gap. The findings of the current study were as follows. Comparing the patterns of change over the decade, the total number of schools and the number of students in academic and vocational high schools in 2006 and 2016 did not show any significant change. However, after 2016, the employment rate of students who graduated from vocational high schools exceeded the entrance rate. In addition, satisfaction with individuals, families, and schools was found to increased after implementation of secondary vocational education policy. As a result of analyzing career education achievement after controlling the difference between these two groups, the career decision and career development efficacy of specialized high school students in 2016 were higher than those of vocational high school students in 2006. In addition, the career capacity of meister high school students were higher than that of the specialized high school students in 2016. Finally, based on the results of the current study, policy implications for the implementation of effective secondary vocational education policies and the direction of subsequent research were discussed.
SSL Based Cryptography Data Management in Private Cloud Computing

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Review:Computer Forensics Technology

Computer Forensics World is a growing community of professionals involved in the digital forensics industry. It is an open resource, free for all to access and to use. Digital investigations and crime regularly cross international and language borders today. Open database connectivity technology is now providing access to a wide range of database technologies, such as neural networks and pattern recognition databases, which are being used to analyze shoe prints and tool marks. These new Computer-aided analysis tools can link and chart case information, allowing the investigator to question the data and pose scenarios as well as suggest and follow possible investigative paths
A Survey on Different Decision Tree Methods for Solving Classification Issues

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Pedestrian Attribute Recognition with Occlusion in Low Resolution Surveillance Scenarios.

In surveillance scenarios, the pedestrian images are often facing poor resolution problems or the images are often suffered the occlusion problems. These problems make pedestrian attribute recognition more difficult. In order to solve this problem, we propose an improved pedestrian attribute recognition method based on hand-crafted feature. In this method, we use Patch Match algorithm as pedestrian image preprocessing to enhance the pedestrian images. Experiments show that this method proposed performs excellent when the pedestrian images suffer occlusion problem and the method is robust to low resolution problem.
Hiding Sensitive Itemsets at Multiple Support Thresholds without Side Effects

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Comparative Study on the Changes in Middle School Students’ Academic Achievement of Innovation Schools and General Schools : Focusing on Gyeonggi-do Innovation Schools

본 연구는 혁신학교의 인지적 측면의 학교효과를 살펴보기 위해, 혁신학교와 일반학교 중학생들의 3년 간 학업성취도를 바탕으로 그 변화 양상을 분석하였다. 분석 대상은 경기교육종단연구(Gyeonggi Education Panel Study: GEPS) 2012의 4-6차년도 자료이며, 분석방법은 t검증, 잠재성장모형, 성장혼합모형을 활용하였다. 분석결과를 요약하면 다음과 같다. 먼저, 혁신학교와 일반학교 학생들의 중학교 재학 기간 내 학업성취도 차이가 유의하게 나타나는지 분석한 결과, 중1 시기를 제외하고는 모두 혁신학교가 일반학교 보다 더 높은 성취도를 나타내고 있었다. 둘째, 혁신학교와 일반학교 학생들의 학업성장 변화율에 있어 차이가 있는지 분석한 결과, 혁신학교가 일반학교 보다 더 긍정적인 영향을 미치고 있었다. 셋째, 혁신학교와 일반학교 각각 학생들의 학업성취도 변화 양상을 유형화한 결과, 잠재계층은 동일하게 4개의 유형(상위/중위상승/중위하락/하위)으로 분류되었다. 넷째, 성취 집단의 비율과 세부적인 변화 양상에 있어서는 학교유형별로 차이가 있었다. 혁신학교는 상위, 중위, 하위 집단의 비율이 고르게 나타났으나, 일반학교는 상위층과 하위층이 두텁고 상대적으로 중위층 비율이 적은 특징을 보였다. 성취 변화 정도에 있어서는 혁신학교가 상위, 중위, 하위 모든 성취집단 내에서 일반학교보다 긍정적으로 나타나고 있었다.The purpose of this study is to investigate the changes based on the three-year academic achievement of middle school students in innovation and general schools. To achieve this research objective, data were utilized from data of Gyeonggi Education Panel Study: GEPS 2012 (2015-2017) conducted by Gyeonggi Institute of Education, and t-test, latent growth model, and growth mixture model analysis were used. The results of this study are as follows. First, except for the first year of middle school, innovation school students showed higher performance than general school students. Second, according to the result of latent Growth Model analysis, innovation schools affect positively the change rate in students achievement. Third, both in innovation schools and in general schools, the changes of students’ achievement can be divided into four types(upper/rising-middle/falling-middle/ lower). Fourth, there were differences between the types of schools in terms of the ratio of achievement groups and the patterns of change in detail. Innovation schools showed an even percentage of upper, middle, and lower classes, while general schools had a relatively lower middle class, with higher upper and lower classes. In terms of the extent of the change in achievement within the upper, middle and lower achievement groups, innovation schools were more positive than general schools.
The Proxy-Status HTTP Header Field

This document defines the Proxy-Status HTTP header field to convey thedetails of errors generated by HTTP intermediaries. Note to Readers_RFC EDITOR: please remove this section before publication_ Theissues list for this draft can be found athttps://github.com/mnot/I-D/labels/proxy-status [1]. The most recent(often, unpublished) draft is at https://mnot.github.io/I-D/proxy-status/ [2]. See also the draft's current status in the IETFdatatracker, at https://datatracker.ietf.org/doc/draft-nottingham-proxy-status/ [3]. Precursors that informed this work include (butare not limited to): ohttps://docs.fastly.com/guides/debugging/common-503-errors ohttps://support.cloudflare.com/hc/en-us/sections/200820298-Error-Pages o https://cloud.google.com/load-balancing/docs/https/https-logging- monitoring o https://docs.google.com/document/d/1fMEK80KlpHcL4CwhniOupgQu4MDsxK4y4dKhthjjCMA
DOA Estimation in Dynamic Environment using DMUSIC and DPM Algorithms

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Multidimensional Expert Scoring Model of Institutional Repository Based on PCA

Generally, expert information scoring has many dimensions in institutional repository. In order to reduce the computational time and improve the computational efficiency in the process of expert recommendation based on institutional repository, a multidimensional expert scoring model of institutional repository based on PCA is proposed. Firstly, the multidimensional expert scoring information matrix of institutional repository is constructed according to the feature dimension of the expert in the institutional repository. Then, using PCA algorithm to calculate the dimensionality reduction of multidimensional expert scoring information matrix of institutional repository. Finally, the multidimensional expert scoring model of institutional repository is obtained according to the 95% component information of the original space. Comparing the reconstruction errors between expert scoring test samples and non-expert scoring test samples, it shows that the model can effectively represent multidimensional expert scoring information of institutional repository.