Reviewerly/exHarmony huggingface dataset:
PENINGKATAN HASIL BELAJAR MATERI MEMAHAMI STANDAR GAMBAR TEKNIK MELALUI METODE EKSPOSITORI

This study aims to improve the learning outcomes of the material to understand the technical drawing standards through the expository method of class XTB B students of State Vocational School 4 Sukoharjo Semester 1 2019/2020 Academic Year. The research method uses Classroom Action Research conducted in two cycles each cycle consisting of two meetings, with four stages of research: planning, implementation, observation and reflection. The subjects of this study were students of class XTB B State Vocational School 4 Sukoharjo Semester 1 of the 2019/2020 Academic Year with a total of 34 students. Data collection techniques used were observation, interviews, tests and documentation. Analysis of the data used in this study is a qualitative descriptive analysis. The results of this study are to improve learning outcomes of learning material to understand technical drawing standards. This is evidenced by the increase in student learning outcomes in the first cycle of students who managed to get the KKM score, increased from 18 students or 52.94% to 23 students or 67.65% or there was an increase of 14.71% compared to the initial conditions. While in the second cycle increased to 29 students who scored above the KKM or 85.29% or there was an increase of 17.64% from the previous. Based on the results of this study it can be concluded that by applying the expository method can improve learning outcomes material understanding the technical drawing standards of class XTB B students of SMK Negeri 4 Sukoharjo Semester 1 2019/2020 Academic Year.
Computational Complexity Evaluation of Reversible Integer to Integer Wavelet Transforms Used in IoT Systems

Internet of Things (IoT) is an emerging area of research primarily focusing on automation, resulting in cost benefits. IoT and embedded systems deployed in the field generally has limited processing and battery capability. However, for transmission of video, image and audio data over IoT communication environment, requires heavy processing capability at the edge nodes and need to consume least power to sustain the working of systems. To achieve the system efficiency, either the processing capability of the edge node is to be improved or the processing algorithm complexity is to be reduced. For IoT based embedded system design, predicting and estimating the complexity of the computations involved in processing is very important in order to implement the system. Many of the image, video and audio processing standards uses wavelet transform as its core for energy compaction of data, hence it is important to do the computational complexity analysis of such transforms. Integer-to-Integer wavelet transforms is the widely used method for applications requiring reversibility like lossless compression. In this paper, computational complexity of various integer-to-integer wavelet transforms namely (1) 2/6 Transform (2) 2/10 Transform (3) SPB Transform (4) SPC Transform are calculated, implemented and analyzed.
CAPTCHA Recognition with Adaptable Neural Networks

CAPTCHAs are tests to tell computers and humans apart. Text-based CAPTCHAs are very common although there exist several successful attempts to solve them with computer programs. We solve text-based CAPTCHAs with a deep convolutional neural network that is based on VGG-16. Our network initially is trained with labeled samples and then proceeds with new and harder unlabeled ones. These harder CAPTCHAs have a line through the text or use multiple or different fonts. We show that a network that was trained on one type of CAPTCHAs can adapt to new and more challenging CAPTCHAs even if the network is only using already correctly solved CAPTCHAs. We also show that active learning can improve the accuracy of our networks and decrease the number of learning iterations necessary for them to adapt to more challenging CAPTCHAs.
The Improvement of Thematic Learning Outcomes Sub-Themes “Playing in the School Environment” Through Cooperative Learning Model Type Team Assisted Individualization (TAI) in Class II of MI Darul Muta'allimin Sidoarjo

This study aims to investigate the improvement of thematic learning outcomes sub-themes “Playing in the School Environment” through Cooperative Learning Model Type Team Assisted Individualization (TAI) in class II MI Darul Muta'allimin Sidoarjo. The research method was Classroom Action Research that used Kurt Lewin's model with 38 students of class II MI Darul Muta'allimin Sidoarjo as the research subject. This study was conducted in two learning cycles which included four stages: Planning, Acting, Observing, and Reflecting. The data were collected from interviews, tests, observation of teachers and students, and documentations. The results showed that the students’ learning outcomes can improve after the implementation of the Team Assisted Individualization (TAI) learning model with an average score from 50 to 82.
Discussion on Deepening the Integration of Industry and Education and the Reform of School-enterprise Cooperation in Vocational Education

To develop vocational education, deepen the reform of talent training mode of integration of industry and education and promote the effective connection of knowledge chain, talent chain, innovation chain and industrial chain is an important grasp to further enhance the comprehensive strength under the background of the new era of the country. At present, in the structure, quality and level, the talent training of vocational colleges still can not fully meet the requirements of supply-side and industrial transformation and upgrading; It is an urgent task to take the general direction of vocational education reform, to improve the level of talents training and social service.
Representasi Patriotisme Dalam Film Dokumenter Apocalypse: The Second World War Ii

Film often affects those who witness it through the content in the film, whether positive or negative. An action movie is often seen as negative because it contains only violent scenes. One of them is a war film, which is often considered to only contain the action of exchanging shootouts, killing each other and other sadistic actions. This research was made to refute all negative views about war films which were considered to only contain mutually violent acts and kill each other, but on the other hand there must be positive things behind the war, namely the value of Patriotism carried out by soldiers and citizens involved in war. This paper examines film  “Apocaclypse: The Second World War II” as the object of research with a qualitative approach. This study uses Roland Barthes's semiotic theory with a two-step process of labeling, denotation and connotation, that often gives rise to a myth of the object under study. The result of this study has found some patriotism values in this movie’s scenes namely courage, never giving up, willing to sacrifice and confidence shown by soldiers and citizens of a war-torn country. Eventually, this research concludes that war-themed films not only contain negative values ​​such as killing each other. Apocaclypse: The Second World War II through semiotic analyses has shown some positive values of patriotism.
Choose your spot and make it hot. How ideas turn into hotspots

Disclaimer Text and Data Mining. Any automated analytical technique aimed at analysing text and data in digital form in order to generate information including - but not limited to - patterns, trends and correlations (so-called Text and Data Mining) may only be applied if it is done by a research organisation or cultural heritage institution solely for the purpose of (non-commercial) scientific research as mentioned in Clause 3 of Directive (EU) 2019/790 (the Digital Single Market Directive) and Clause 15n of the Dutch Copyright Act [Auteurswet]. Text and Data Mining for commercial purposes is not allowed; all rights in this respect are reserved pursuant to Clause 4 paragraph 3 of the Digital Single Market Directive and Clause 15o paragraph 1 of the Dutch Copyright Act.
Renormalized Mutual Information for Artificial Scientific Discovery

We derive a well-defined renormalized version of mutual information that allows us to estimate the dependence between continuous random variables in the important case when one is deterministically dependent on the other. This is the situation relevant for feature extraction, where the goal is to produce a low-dimensional effective description of a high-dimensional system. Our approach enables the discovery of collective variables in physical systems, thus adding to the toolbox of artificial scientific discovery, while also aiding the analysis of information flow in artificial neural networks.
The New Goal and Path Choice of the Development of China's Vocational and Technical Education

The development of China's Vocational and technical education is the inevitable product of the times, which has important practical significance. The definition of the training objectives of undergraduate talents in Vocational Education in China should be placed in the whole higher education system, especially in the distinction between junior college and undergraduate; It is the difference between general education and vocational education in undergraduate level. In order to carry out the reform smoothly and effectively, we should always focus on the goal of talent training, improve the professional level of the school by deepening the integration of production and education, enhance the technical ability of students by strengthening the cooperation between school and enterprise, and guarantee the teaching quality of the school by paying close attention to the teaching staff.
Directive Speech Act in Learning Indonesia at Vacational School 1 Kefamenanu

Directive speech act in learning is a language act that pays attention to the conversation context. Its conversation context deals with who, to whom, what, and how the speech is conveyed. Therefore, it becomes an attention for teachers and students in the learning process. This research was conducted to describe the directive speech act between the teacher and the students and students in learning Indonesian at Vocational School 1 Kefamenanu. This study aimed to determine directive speech acts in the Indonesian learning process at Vocational school 1 Kefamenanu. The method used descriptive qualitative research. The object of this research was the utterance between teachers and students and among students. This study's subjects were teachers and students involved in the Indonesian learning process at Vocational school 1 Kefamenanu. Data collection techniques in this study were carried out by observation, recording, and note-taking. This research's data analysis technique was to describe the recording results, data reduction, data interpretation, and conclude. The results of the study at Vocational school 1 Kefamenanu showed that the use of directive speech acts carried out by teachers and students was more dominant than the teacher. It happened because the teacher is a good illustration in speaking and being polite in language.
The legal problems of granting Artificial Intelligence patent editing for its innovations, Can Artificial Intelligence be an inventor?

This search discusses a new challenge to the legal rules governing patent, in the event that innovation is patented by Artificial Intelligence (AI), innovations that would have more capabilities than humanity can ever boast, and thus, be able to innovate without resorting to the human element.One of the most important concerns in granting a patent to AI is that the legalities of the rules governing the granting of a patent required that the “person” who obtains it, be a natural or moral person. Moreover, to whom will the ownership transfers of the financial rights associated with the patent will go? Is it to the user utilizing the AI? Or the programmer who created it?The study recommends that these problems be addressed through, amending the legal texts in such a way as to help AI obtain an electronic legal personality, as such obtained by the moral person, and altering the standards of authenticity of innovation in place of a patent.
ONLINE ASSESSMENT TOOL

Now-a-days, to have an internal assessment application for engineering colleges to assess the students based on coding skills, logical skills and technical skills is a challenging task. In addition to this, advancement in security, student code plagiarism checker, getting the appropriate and accurate student reports, test reports of the students accordingly are a challenging and tedious task.We came with a proposal of creating an Assessment tool with front-end HTML, CSS, Bootstrap, JavaScript, jQuery, mustache and with back-end PHP and MySQL. By using our proposed system, students are assessed on their technical, logical and coding skills. This includes user face recognition with the profile picture of the student. The test opens with secure window. Test includes coding questions, technical questions and logical questions with certain time limit. In addition to these we can add Audio and Video type questions. Duplication of programs is detected by plagiarism checker. Once the students are done with the test, different types of reports such as student wise reports, test wise reports, branch wise reports are generated and student ranking is displayed on the leader board.
IMPROVING THE ELEVENTH GRADE STUDENTSâ€™ WRITING SKILL IN DESCRIPTIVE TEXTS BY USING PICTURES MEDIA AT SWASTA GKPI MEDAN

Writing as one of the language skills is not as easy as one thinks because it needs some exact requirements to create topic sentence, controlling idea, supporting sentences, concluding sentence, etc. It is not surprising that students have difficulty in writing. The students could not describe thing, place or person because they could not express their ideas and they have limited vocabulary. Thus, they need some ways or media which could help them write descriptive texts. The teacher should be creative to search for interesting media to teach writing descriptive texts. Pictures media can help students to express and elaborate their ideas into a writing. The objectives of this study are to prove that the use of pictures media can improve the studentsâ€™ skill in writing descriptive texts and to describe the responses of the students towards the use of pictures media in writing descriptive texts. The subjects of this study are the eleventh grade students of SMA Swasta GKPI Medan Class XI IPS 1 in the Academic Year of 2017/2018. In conducting this research, the writer used Classroom Action Research (CAR) as the method of research. Tests were used to gather the quantitative data. In addition, field notes and observation sheet were used to gather the qualitative data. Based on, the findings of this study, there were 4 students (12%) who passed the Mastery Minimum Criteria (Kriteria Ketuntasan Minimal) 75 in pretest, 12 students (36%) in formative test and 29 students (87%) in posttest. The result of this research revealed that there is a significant improvement of the studentsâ€™ achievement from pretest, formative test and in the post test. This improvement was shown by the comparison between the studentsâ€™ mean score of pretest (43.75), formative test (70.6), and posttest (84.4). Based on the questionnaire results, the studentsâ€™ responses are very good. They agreed that using pictures media could improve their achievement in writing descriptive texts.Â Furthermore, the students found it interesting to learn how to write descriptive texts by using pictures media. It can be seen from their full attention during the learning teaching processes. Therefore, it is recommended for the teachers to use pictures media in improving their studentsâ€™ writing skill especially in writing descriptive texts.
HUBUNGAN KADAR HEMOGLOBIN DENGAN PRESTASI BELAJAR MAHASISWA PROGRAM STUDI D-III KEBIDANAN DI UNIVERSITAS BATAM TAHUN 2017

Low hemoglobin is one of the health problems in the world. The iron deficirency can cause the optimum growth, learning ability, decreasing the ability to learn and getting low of intelligence quotions (IQ). This research aims to investigate the correlation of hemoglobin level and learning achievement. This research employs analytic survey by cross-sectional approach. The population involves the entire students in the 1 st and 2 nd year of midwifery students. The data collecting technique in purposive sampling. The result the research reveals that from 57 respondent, there are 38 respondent posses hemoglobin level with no anemia and has satisfying learning achievement. While 19 respondent posses hemoglobil level with anemia and 16 respondent has the most satisfaction learning achievement and the rest of 3 respondent are statisying. The data analyzing technique is chi-square test with p value = 0,03 (<0,05) so the HO is refused. From the findings, it can be cocluded that there is correlation between. Hemoglobin level and learning achievement in suggestion, the student are expected to prevent anemia and their learning ability.
PENERAPAN METODE CLOUD RECOGNITION PADA APLIKASI AUGMENTED REALITY PENGENALAN JENIS BUAH-BUAHAN

Augmented Reality is the merging of two-dimensional or three-dimensional virtual objects into a three-dimensional real environment. Then project these virtual objects in real-time. In the field of education, AR technology can be useful as a medium for student learning to be more attractive, more interactive, and imaginative whose objects are following the original. This study aims to produce fruit learning applications using Android-based Augmented Reality technology to support the learning process using the Multimedia Development Life Cycle (MDLC) method which consists of 6 stages, namely concept, design, material collecting, assembly, testing, and distribution. The result of the research is an augmented reality application for fruit recognition using a cloud recognition method based on C #, Unity 3D, and blender which applies marker based tracking method based on android which can be used as a learning tool for students.
Evaluation of crack opening phenomenon using subset-optimized digital image correlation

This paper presents crack opening phenomenon evaluation using digital image correlation (DIC) with a statistically optimized subset size. In conventional DIC analysis, the subset sizes varying from several pixels to more than hundred pixels have been often selected by experts' subjective judgement based on conventional subset size determination algorithms. Since these conventional subset size determination algorithms, however, calculate speckle pattern features at a certain location of a single target image, it is difficult to consider not only all speckle pattern features within region of interest (ROI) but also the random measurement noises during the digital image acquisition process. To overcome the technical limitation, a statistical optimization algorithm of the subset size, which calculates the optimal subset size by the 3-loop iteration of normalized cross correlation within the entire ROI, is newly proposed. In addition, the optimal subset-based DIC analysis is applied to crack opening phenomenon evaluation in a mock-up concrete specimen under step loading conditions. The validation test results show 3.6 μm maximum error compared with the ground truth which is obtained by direct measurement, while a conventional subset size determination algorithm-based DIC analysis produces the maximum error of 62.7 μm.
IMPLEMENTING ADAPTIVE CONTENT BASED IMAGE RETRIVAL SYSTEM USING D-SIFT

Traditional techniques for image retrieval aren't supported for the ever expansive image information. These downsides may be removed by utilizing contents of the image for image retrieval. D-SIFT works with CBIR and is targeted around visual options like form, colour and texture. The Density- Scale Invariant Feature remodel (D- SIFT) may be a stand out amongst the foremost regionally feature detectors and descriptors that is employed as a region of the majority of the vision programming. we have a tendency to focus texture, colour, shape, size.string based mostly image matching with higher accuracy .These options embody Texture, Colour, Shape and Region. it's a hot analysis space and researchers have developed several techniques to use these options for correct retrieval of needed pictures from the databases. during this work we have a tendency to present a literature survey of the Content based mostly Image Retrieval (CBIR) techniques based on Texture, Colour, form and Region. we have a tendency to conjointly review a number of the state of the art tools developed for CBIR.
Face Recognition and Tagging

Face recognition is currently becoming popular to be applied in various ways, especially in security systems. Various methods of face recognition have been proposed in researches and increased accuracy is the main goal in the development of face recognition methods. FaceNet is one of the new method in face recognition technology. FaceNet is a deep neural network used for extracting features from an image of a person's face. Ideally, embeddings of similar faces are also similar. Mapping high-dimensional data (like images) into low-dimensional representations (embeddings) has become a fairly common practice in machine learning these days
استخدام نموذج التفاعل المتكامل لسرد قصص التاريخ الإسلامي في المدينة المنورة

Recommendations:1- This solution provides the technological platform for storytelling and we recommend this platform to be the host of Islamic heritage in Saudi Arabia. The platform is devloped as a working prototype of the Printable IMM paradigms. In order to take the application into opration, a technological infrastruction and technical team support are needed. 2- A trusted historians and reliable histolical resourse are required to feed the solution with rich and interseting contents with different languages.3- The multimedia contents have key role for attarct application users and help to enjoy the visiting experience. The solution entails talented and creative mulitmedia team to develop high quality contents for the application.
CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices

We introduce an efficient approach for optimization over orthogonal groups on highly parallel computation units such as GPUs or TPUs. As in earlier work, we parametrize an orthogonal matrix as a product of Householder reflections. However, to overcome low parallelization capabilities of computing Householder reflections sequentially, we propose employing an accumulation scheme called the compact WY (or CWY) transform -- a compact parallelization-friendly matrix representation for the series of Householder reflections. We further develop a novel Truncated CWY (or T-CWY) approach for Stiefel manifold parametrization which has a competitive complexity and, again, yields benefits when computed on GPUs and TPUs. We prove that our CWY and T-CWY methods lead to convergence to a stationary point of the training objective when coupled with stochastic gradient descent. We apply our methods to train recurrent neural network architectures in the tasks of neural machine translation and video prediction.
LibGuides: Library Helpful Hints for Off-Campus Use: Animal Videos

A guide to help students access library resources to complete assignments when they are not on campus List of Relaxing Videos posted on Social Media for Final Exams