Reviewerly/exHarmony huggingface dataset:
A Chronological Review on Face Detection Algorithms Used in Modern Surveillance Systems

Abstract: The domain of face detection and recognition has fascinated researchers from last many decades due to its varied complexities. As till date various technologies are proposed for the same but fails to encounter every possible challenge during face detection. It has been a major challenge to identify a prominent methodology fully capable to detect and recognize faces challenged by every possible sources of noise and challenges. Environmental noise, scene complexity, occluded environment, etc reasons has been continuously deteriorating the modern surveillance systems. In this article we have reviewed various prominent approaches for facial detection ranging from classical edge based detection to neural network based model. Index Terms: Face detection, challenges, noise, features.
Enciphering the information by using Range Table with Genetic Algorithms

At the present time, in contrast with the past usage of the internet has been added on.Each and every organization like Educational organizations, Government sectors, Business organizations etc is making the use of internet to enlarge their organizations.In such scenario great amount of sensitive information has being transmitted via the internet.Therefore it is vitally important to secure the information which is transmitting through the internet in order to keep it safe from the intruder attacks.To keep the information safe and secure the concept of cryptography has been developed.Different form of cryptographic algorithms are in use to enciphering the text.In this paper we will discuss about encoding the text by using range table with the help of genetic algorithms
Geochemical Fractions of Heavy Metals in Bottom Sediments of the Pobeda Hydrothermal Field, Mid-Atlantic Ridge (17°07′–17°08′ N)

We examined the distribution of Fe, Mn, Cu, Zn, and Pb in one core of metalliferous, and one core of non-mineralized (background) carbonate sediments (located 69 km northwards), from the Pobeda hydrothermal field. Mechanisms of metal accumulation in sediments (12 samples) were evaluated based on sequential extraction of geochemical fractions, including mobile (exchangeable complex, authigenic Fe-Mn hydroxides, and sulfides), and lithogenic (fixed in crystalline lattices) forms. Maps of element distribution in sediment components were obtained using a scanning electron microscope equipped with an energy-dispersive spectrometry detector. In metalliferous sediments, according to X-ray diffraction data, the main Fe mineral phase was goethite FeOOH (37–44% on a carbonate-free basis). The contents of Fe and Mn reached 31.6 and 0.18%, respectively, whereas concentrations of Cu, Zn and Pb were 0.98, 0.36, and 0.059%. The coefficient of metal enrichment relative to background values varied from 16 to 125 times. The exception was Mn, for which no increased accumulation was recorded. Essential mass of Fe (up to 70% of total content) was represented by the residual fraction composed of crystallized goethite, aluminosilicates, the minerals derived from bedrock destruction processes. Among geochemically mobile fractions, 90–97% of total Fe was found in the form of authigenic oxyhydroxides. The same fraction was the predominant host for Mn in both metalliferous and background sediments (55–85%). A total of 40–96 % of Cd, Cu, Zn, and Pb were associated with these Fe and Mn fractions. The sulfide fraction amounted to roughly 10% of each metal. In metalliferous sediment core, the maximum concentrations of metals and their geochemically mobile fractions were recorded in deeper core intercepts, an observation that might be attributed to influence of hydrothermal diffused fluids. Our data suggested that metals are mostly accumulated in carbonate sediments in their contact zone with the underlying serpentinized basalts.
Comparing Levels of Some Heavy Metals in Rivers and Sediments from Two South-Western States of Nigeria

Ten water and ten sediment samples from both Igbokoda and Apapa in South west, Nigeria were collected between March and August, 2018 for heavy metal analysis. The study aimed at using Potential Ecological Risk (PER) index to characterize rivers sediments and waters for possible environmental impact. The sampling span industrial, domestic and recreational areas. The water and sediment grab samples were treated using standard procedures. The filtrate from sediment was made up to 50 cm3 mark with distilled water and used for seven heavy metals determination using atomic absorption spectrophotometry (AAS). Contamination factor (CF) and Pollution load index (PLI) calculated for each metal in the sediments indicate moderate contaminations. However, Cd in exception showed the highest potential ecological risk factor of 42.3 in Igbokoda. PER value of the Igbokoda sediment is 45.37 while that of Apapa sediment is 6.79. The potential risk pose by Cd alone in the sediment suggests that the Igbokoda water is unsafe for recreational and other beach activities. The recommendation from the study will suggest a proper treatment of wastewater and sewages before fluxing into both the Igbokoda and Apapa water bodies
Hybrid Classification for Face Spoof Detection

Abstract: ML (machine learning) is consisted of a method of recognizing face. This technique is useful for the attendance system. Two sets are generated for testing and training phases in order to segment the image, to extract the features and develop a dataset. An image is considered as a testing set; the training set is contrasted when it is essential to identify an image. An ensemble classifier is implemented to classify the test images as recognized or non-recognized. The ensemble algorithm fails to acquire higher accuracy as it classifies the data in two classes. Thus, GLCM (Grey Level Co-occurrence Matrix) is projected for analyzing the texture features in order to detect the face. The attendance of the query image is marked after detecting the face. The simulation outcomes revealed the superiority of the projected technique over the traditional methods concerning accuracy. Keywords: DWT, GLCM, KNN, Decision Tree
대학교육의 변화와 교양교육의 역할 : 「미국 고등교육의 성과와 생산성 향상방안」 보고서를 시점으로

Currently, Korean universities face the problem of ‘productivity’ along with problems of role acceptance as educational institutions that form the stage that follows secondary education. They no longer exist separately from secondary education. The United States, which first sensed such changes in social demands, announced a report titled 「Performance and Productivity Improvement Plans for Higher Education in the United States」, jointly written by the ‘National Center for Higher Policies and Higher Education’ and the ‘National Center of Higher Education Management Systems’ in 2007. This report handled contents that are slightly distant from the essence of education as it tried to identify higher education focused on ‘efficiency’ and ‘productivity’ problems and it presents university evaluation and incentive systems based upon the standards of academic achievement, new student recruitment rates, and student retention rates. The contents of this report are similar to the methods of Korea, which have managed the ‘productivity’ of higher education after 2010 through methods in which educational budgets are paid differentially according to university evaluations and it seems that a lot of the report reflects the university competency evaluations of Korea. When considerations are made that the educational plans of current Korean universities are established upon university evaluations of the Ministry of Education, an observation of this report’s contents will give a look into, not only the directions of higher education in the United States, but also directions for the higher education of Korea. This article attempts to search for implications by making focused observations of ‘connections of secondary and higher education’ and ‘universities as lifelong education institutes’, which are presented as university ‘productivity’ enhancement methods in the 「Performance and Productivity Improvement Plans for Higher Education in the United States」 report. Also, it explored the meanings and roles of higher education in ‘educational pipelines’ designed as secondary-higher-lifelong learning.
Research on the Mechanism Innovation Ability Model of Higher Vocational Students’ Entrepreneurship Education in the Big Data Era

Cultivating innovation ability is an important task faced by higher vocational educators. The level of innovation ability reflects the degree of self-improvement, self-regulation, and self-realization of higher vocational students. It promotes scientific education and plays a guiding role in cultivating innovative talents. Based on the background of the era of big data, the thesis builds an index system for higher vocational students' entrepreneurial education ability, and is committed to establishing a scientific evaluation system. This provides theoretical basis and practical guidance for educators.
Analisis Keamanan Informasi Menggunakan Tools Indeks Kami ISO 4.1

Information is a very valuable asset for a university institution. Utilization of information technology offers various conveniences in obtaining the information needed. Good information management can make universities have good managerial skills. protecting information security means that it also requires efforts to pay attention to the security factors of all supporting assets such as networks, as well as other facilities that are directly or indirectly related to the process of organizing information. Bina Darma University is an institution that is engaged in the field of education and science, which has a vision that is to become an International Standard University Based on Information Technology By 2025, to realize this there are several efforts prepared, one of which is to improve information security by implementing the ISO 27001 certification process. :2013. So in the context of Bina Darma University will implement ISO 27001: 2013. Using the method of Applied Research (applied research) the author took the initiative to conduct research with the title ANALYSIS OF INFORMATION SECURITY USING OUR INDEX TOOLS 4.1 So as to produce Knowing the maturity level of information security with a status of Inappropriate, Needs improvement , Enough and Good at Bina Darma University.
Identifying Text Message through Different Types of Translation

Main idea, concept, message are practically terms denoting the same phenomenon. To give a definition to a text message is no less hard than to formulate the message. Still, stylistic text analysis presupposes detection of text elements that contribute to message formation and are marked from this point of view; the understanding of the message depends on many factors, including extra-linguistic variables: historical and cultural background as well as readers' personality characteristics such as the habit and ability to read, their educational and social status, age and gender. The more pronounced then is the necessity of adequate message formulation. The procedure of literary text translation into other verbal as well as in non-verbal languages helps clearly reveal the message. Several stages of the procedure were worked out in the study to train future teachers in reading and analyzing the text.
Research on Structural Analysis Method of Long-span Steel Structure Construction Process Based on Feature Extraction Algorithm

The construction of long-span steel structure is a continuous process, and the stress state of its structure changes. Modern construction projects tend to be more and more high-rise buildings, because the span and height of construction projects are small at the early stage of development of construction industry, and the stress of building structures is not large compared with high-rise and large-span buildings, so the situation of components after construction is roughly the same as that before construction. Image mosaic technology is an important branch of image processing technology. Its significance is to use small image acquisition equipment to obtain large and high-definition images through software splicing. On the one hand, more and more complete information can be obtained on an image through splicing. On the other hand, the cost of small equipment is much lower than that of large equipment, which can greatly reduce the cost. Combined with feature extraction algorithm, this paper expounds the structural analysis method of long-span steel structure construction process.
4次産業革命技術を利用した言語教育方法の研究 －｢Aiと音声･文字･映像言語｣を中心に－

As part of the “Research on Language Education Methods Using the 4th Industrial Revolution Technology”, this study mainly focuses on Ai and audio, text and Movie Language.In this article, “Vrew-Soft” is used to create the audio language of Movie into captions (character language) and “Ai technology” is used. It can be said that it is impressive that the Technological advances of the 4th Industrial Revolution have eliminated the inefficiency of manual labor.In addition, in the humanities world, the search skills of Corpus, which uses similar technologies, are also considerably advanced. That is the starting and ending points of “speech language” and “subtitle = character language” are exactly the same. Also, there is no need for tedious rendering work. This is the amazing “Ai technology” that should be actively utilized in language education in the future. Through this study, I was surprised to find that Ai technology, which is only a small part of language education, was applied.On the other hand, as a more sophisticated methodology for language education, the 4th industrial revolution technology should be actively utilized and its performance should be improved.
Políticas, programas e serviços arquivísticos nas instituições federais de ensino superior do Brasil

Examines the archives scenario in Federal Higher Education Institutions (IFES) regarding policies, programs and services in the period that includes the approval of the Archives Law and the creation and operation of the National Archives Council (CONARQ), in the 1990s, and the Law on Access to Information, implemented in 2012. It seeks to verify the extent to which these legal milestones and the action of both CONARQand National Archives stimulated the development of records management and archival services in these institutions. 17 IFES were selected, based on different criteria, in which a directed questionnaire was applied to gather information on political-administrative, organizational, and technical-scientific aspects from their archival services.
Formation of teachers of the initial stage of education - readiness for innovation

This article examines the readiness and formation of teachers of primary education - innovative activity. The relevance of this topic lies in the search and application of innovative technologies in primary schools, where the main task of teachers is to quickly adapt to modern innovations and the ongoing changes in updated education. The XXI century is called the century of high or digital technologies, and therefore creative, active, fast-learning and inquisitive people are in demand in any industry. The modern system of updated education develops children's research and cognitive structure of activity. In this regard, adjustments are made to the educational program in almost every country to develop students' abilities, based on research and cognitive activity, where one of the first steps is primary school.
Application of Mobile APP in Moral Education Course Teaching Based on Intelligent Internet of Things

Moral education is one of the important teaching goals of modern education. It is not a clear, specific, and microexamination teaching like knowledge and science but a political, ideological, and moral education in the form of curriculum teaching. In the information age, the Internet is filled with a huge amount of good and bad information. Facing the temptation and impact of bad information, moral education is very important. The main purpose of this research is to understand the current status of moral education curriculum teaching in China and propose a method of applying mobile APP to assist moral education curriculum teaching in accordance with the development difficulties faced by moral education curriculum teaching in the Internet era. This article uses the methods of literature research and questionnaire survey, by consulting the relevant literature and interviewing randomly selected teachers and students of moral education courses in secondary vocational colleges, from the basic conditions of students’ academic qualifications and age, moral education course learning situation, and moral education course teaching arrangements and conducts questionnaire surveys on mobile APP teaching applications. Finally, this article also uses statistical methods to analyze the difficulties and impacts of moral education curriculum teaching and tests the effectiveness of the application of mobile APP teaching methods in moral education teaching through the independent sample t-test method. Research shows that at the level of significance of <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi>α</mi> <mo>=</mo> <mn>0.05</mn> </math> , the application of mobile APP does help to improve the learning efficiency and enthusiasm of students in the teaching of moral education courses and improve the teaching level of moral education courses.
An in‐depth study of the effects of methods on the dataset selection of public development projects

Public development projects (PDPs) and documented public development projects (DPDPs) are two types of projects that can provide valuable information on how developers and users participate in OSS projects. However, it is hard for researchers to effectively select PDPs and DPDPs due to the lack of specific project selection methods for these two types of projects. To address this problem, a standard dataset was labelled and the base line methods (i.e. selecting projects according to a single feature like star number) under 60 configurations and the machine learning methods under 18 configurations were tested to identify the best configurations in precision and F-measure for selecting PDPs and DPDPs. The results show that (1) to select PDPs or DPDPs with a high precision, the base line method is the best with precision of 0.877 (PDPs) and 0.831 (DPDPs); (2) to select PDPs or DPDPs with a high F-measure, the machine learning methods are the best, with F-measure of 0.817 (PDPs) and 0.789 (DPDPs); (3) existing sample selection strategies can be combined with the machine learning methods, and the precision of selecting PDPs can be increased by 6.39%–41.33% and the precision of selecting DPDPs can be can be increased by 35.50%–269.02%.
THE EFFECTIVENESS OF U-DICTIONARY APPLICATIONTEACHING MEDIA TOWARDS ENGLISH PRONUNCIATION OF THEELEVENTH GRADE STUDENTS AT SMK ISLAM 1 DURENAN

ABSTRACTThe thesis title is “The Effectiveness of U-Dictionary Application Teaching Mediatowards English Pronunciation of The Eleventh Grade Students at SMKIslam 1 Durenan” written by Ninda Ulfiani. Register Number17203153005. 2020. English Education Department. Faculty of Tarbiyahand Teacher Training. State Islamic Institute (IAIN) of Tulungagung.Advisor: Dr. H. Nursamsu, M.Pd.Keywords: effectiveness, English pronunciation, u-dictionary.English Pronunciation is one of the most important aspects of Englishteaching. Pronunciation will make the communication with the other personeasier because the speaker can speak clearly. Thus, listener can also understandthe meaning of spoken language without misunderstanding. One of the learningmedia that can support teaching English pronunciation is the U-Dictionaryapplication. This media is based on sophisticated technology and is easilyaccessible using the internet network or without an internet network.The formulation of the research problem was “Is there any significantdifference in scores of the students that taught English pronunciation by using UDictionary and those students who was taught by using conventional method ofthe eleventh grade students at SMK Islam 1 Durenan”.Quantitative approach on Quasi-experimental was the design of thisresearch. This research population was the eleventh grade students at SMK slam 1Durenan. The samples were XI OTKP 1 class consisted of 24 students and XIOTKP 2 class consisted of 26 students. The instrument for the research was test.Then, T-test was used for the data analysis.The results showed that the U-Dictionary application was effectivelyused as a learning media in teaching pronunciation to eleventh grade students ofSMK slam 1 Durenan. This is indicated by the pre-test average value taught usingthe U-Dictionary s 61.00 and the post-test average score s 73.71. Meanwhile, thepre-test mean score taught using conventional methods was 56.08 and the meanscore for the post-test was 57.69. The results of hypothesis testing using the t-testshow that the significant value s 0.00, which is less than 0.050. Thus the nullhypothesis is rejected, so it can be concluded that the U-Dictionary provides aneffective and significant impact in teaching English pronunciation.
The Comparison of Lexical Bundles in EFL Teachers’ Talk betweenNon-native and Native English Teachers

Lexical bundles are multi-word expressions that usually hang together. Theyare considered as a main factor in building fluency in academic discourse;helping to shape meanings and coherence in a text. The objectives of the studyare to analyse non-native and native English teachers’ talk in order to explain(1) the use of structural and functional types of lexical bundles in non-nativeand native English teachers’ talk, (2) the similarities and differences of lexicalbundles used in the talk, (3) the relation between structural and functionaltypes of lexical bundles used in the talk. This study is a qualitative study anddesigned as a classroom discourse analysis. The data are non-native and nativeEnglish teachers’ talk. The results reveal that non-native and native Englishteachers used all types of lexical bundles structurally and functionally.Similarly, both teachers performed lexical bundles in form of verb phrase andthey mostly functioned as stance expressions. However, they performed themdifferently in terms of the sub-types. Non-native English teachers used more1st/2nd person pronoun+VP fragments while native English teachers employedmore WH-questions fragments. Functionally, non-native English teachers usedlexical bundles more in showing ability while native English teachersperformed them more in showing intention/prediction. Both teachersfrequently employed lexical bundles with verb phrase structures that functionedas stance expressions. The use of lexical bundles is important for teachers toperform native-like fluency and improve their oral proficiency.
A Comparative Analysis of Content based Image Retrieval

With the development of multimedia technology, the rapid increasing usage of large image database becomes possible. To carry out its management and retrieval, Content-Based Image Retrieval (CBIR) is an effective method. It will be very difficult to manage this database of images stored at the remote servers. The right tool will be required which can process these images for different operations. These operations include searching etc. It will be difficult to classify the images into groups and then search each class for providing the image as the information against the user request query. The content based image retrieval is the most suitable way to identify the image from the large repository. It will search the image from the large set of images based on contents rather than the image name. It will be having less time to search the image from the large repository when the image is retrieved using content based. In the current research the hybrid approach for content based image retrieval is performed. This proposed procedure will be in the first step perform the classification of the image into multiple classes. The classes are prepared based on the attributes values.