Reviewerly/exHarmony huggingface dataset:
Conceptualizing art education for social integration:Based on the gifted art education for the disadvantaged

지구촌의 인구 이동으로 인해 이제 문화적, 인종적, 종교적, 경제적 차이는 한 사회를 구성하는 기본적인 요소가 되었다. 즉 동일 집단으로서의 결속력이 아닌 다양성을 전제로 한 공동체의 형성이 대부분의 사회에 던져진 당면 과제가 된 것이다. 본 연구는 사회통합을 위한 교육적 지원이 법제적, 제도적 측면에서 다루어짐과 동시에 민간 및 지역 단위에서 제공됨으로써 다양한 소수 집단에서 실제적인 변화를 기대할 수 있는 방식으로 실행되어야 한다는 문제의식에서 출발하였다. 특히 외부에 서 유입되는 문화적 배경의 다양성뿐만 아니라 우리 사회 안에 자리 잡고 있는 차이로 인한 갈등도 간과할 수 없는 상황에서 사회양극화로 인해 심화되는 교육 취약계층을 위한 미술교육에 초점을 두었다. 이를 위해 개인의 문화적 다양성을 존중하고 민주적인 사회 변화를 추구할 수 있는 대안으로서 사회통합 미술교육을 개념화하고, 이를 기초로 사회통합의 관점에서 저소 득층을 대상으로 한 미술영재교육 프로그램의 의미를 조명하는 것에 본 연구의 목적을 두었다. 본 연구에서 다루는 연구 문제는 다음과 같다. 첫째, 현 시대에 요구되는 사회통합의 조건과 접근 방법은 무엇인가? 둘째, 사회통합 미술교육은 어떻게 개념화될 수 있는가? 셋째, 저소득층 대상 미술교육을 통해 구체화할 수 있는 사회통합 미술교육의 의미는 무엇인가? 본 연구에서는 사회통합에 대한 이론적 담론을 시작하는 데에 그치지 않고, 제안하고자 하는 미술교육의 개념이 ‘지금 여기’의 실행에 관한 어떤 설명력을 가지는지를 함께 논의하였다. 저소득층 대상 미술영재교육 사례를 중심으로 상황적, 맥락적 관점 에서 사회통합의 실제적 의미를 탐색하고자 한 것이다. 사회통합의 논의를 미술교육 안에서 재개념화 하고 이론과 실제의 연결을 통해 그 개념을 상세화하고자 하였다는 점에서 본 연구의 의의를 찾아볼 수 있다.Due to global migration, cultural, racial, religious, and economic differences have become fundamental elements of a society. In other words, the formation of a community based on the diversity rather than the cohesiveness of the same group has become a challenge for most societies. This study started from the awareness that the educational support for social integration should be implemented in a way that expects actual change in various minority groups by being provided not only at the political, legal and institutional level but also at the private and local level. Especially, this study focused on the art education for the underprivileged, which is deepened by the social polarization in the situation where the conflict due to differences in our society can not be overlooked. To this end, this study conceptualize art education for social integration as an alternative to respect for individual cultural diversity and pursue democratic social change. Based on this concept, this study purported to draw on the meaning of the artistically gifted education for the disadvantaged in terms of social integration The research problems covered in this study are as follows. First, what are the conditions and approaches of social integration required in the present age? Second, how can integrated art education be conceptualized? Third, what is the meaning of art education for social integration that can be embodied through the artistically gifted education for the disadvantaged? The purpose of this study was to explore the practical implications of social integration in situational and contextual perspectives. The significance of this study could be found in that it conceptualized the discussion of social integration in art education and elaborate its concepts by linking theory and practice.
Regression Constraint for an Explainable Cervical Cancer Classifier.

This article adresses the problem of automatic squamous cells classification for cervical cancer screening using Deep Learning methods. We study different architectures on a public dataset called Herlev dataset, which consists in classifying cells, obtained by cervical pap smear, regarding the severity of the abnormalities they represent. Furthermore, we use an attribution method to understand which cytomorphological features are actually learned as discriminative to classify severity of the abnormalities. Through this paper, we show how we trained a performant classifier: 74.5\% accuracy on severity classification and 94\% accuracy on normal/abnormal classification.
Methodology Of Capitalizing Fairy-Tales In The Preschool Cycle

Story-telling is one of the most popular childrens language education activities because it satisfies the need for knowledge and affection, stimulates their creativity, their tendency to miraculous, fantastic, imaginary and constitutes the optimal framework for exercising their communication capabilities. Starting from a simple fact (a story, a character), children create with great pleasure, combining the real with the imagination. in their stories, children have a predilection for dialogues that animate, in their charming language, the narratives. The words of the stories express the affective feelings of the children, creating a miraculous world. By telling a well-known fairy tale, preserving the motifs of the original story, children can change the content in an original way, enriching it with personal elements. The story is integrated in most of the kindergarten activities, regardless of the issues covered. It becomes a dominant activity for language education, education for society and environmental education. They carefully follow the plot of the fairy-tale, memorize, discover features and behaviours of the characters, analyse and compare, establish certain relationships between facts and characters, reach generalizations. Thus, the childs thinking is vividly stimulated he understands the meaning of the heros deeds. Besides giving the child the opportunity to learn to understand peoples thoughts and feelings, the stories, using the word and artistic image, familiarize him with the structure of the language, the richness of his grammatical forms, the beauty and the expressiveness of language and thus contribute to the development of his speech and his thinking.
Discretization Effects of Digital Control of Thermally Tunable 2×2 MZI Couplers

We describe how digital voltage driving of tunable 2×2 Mach-Zehnder couplers with thermo-optic phase shifters introduces discretization errors which significantly affect programmable photonic circuits. Performing quantitative analysis, we show that proper biasing of couplers and simultaneous driving of arms can improve discretization errors.
Secret Verification Method Suitable for the Asymmetric Secret Sharing Scheme

Conventional secret sharing schemes, such as Shamir's secret sharing scheme, cannot prevent the leak of shares when they are deposited on servers. In contrast, in an asymmetric secret sharing scheme, the owner of the secret has a stronger authority than the server, and the number of servers storing the share can be set to less than k. Therefore, even if all the shares stored in the server leak, the secret is not leaked. This can prevent the leakage of secrets from attacks on servers. In the conventional secret sharing scheme, a correct secret cannot be reconstructed if the attacker outputs a false share at the time of reconstruction by hijacking the server. This problem cannot be addressed even if asymmetric secret sharing is used. Therefore, we extend the asymmetric secret sharing scheme in a manner enabling the owner to detect a secret when an attacker outputs a false share. In the proposed scheme, a server is not required to store information other than the share if n > k. In other words, no burden is imposed on the server for verification. In addition, the hijacked servers can be identified under certain conditions, realizing an efficient verification method for secrets that is suitable for the asymmetric secret sharing scheme.
Temporal Knowledge Propagation for Image-to-Video Person Re-identification

In many scenarios of Person Re-identification (Re-ID), the gallery set consists of lots of surveillance videos and the query is just an image, thus Re-ID has to be conducted between image and videos. Compared with videos, still person images lack temporal information. Besides, the information asymmetry between image and video features increases the difficulty in matching images and videos. To solve this problem, we propose a novel Temporal Knowledge Propagation (TKP) method which propagates the temporal knowledge learned by the video representation network to the image representation network. Specifically, given the input videos, we enforce the image representation network to fit the outputs of video representation network in a shared feature space. With back propagation, temporal knowledge can be transferred to enhance the image features and the information asymmetry problem can be alleviated. With additional classification and integrated triplet losses, our model can learn expressive and discriminative image and video features for image-to-video re-identification. Extensive experiments demonstrate the effectiveness of our method and the overall results on two widely used datasets surpass the state-of-the-art methods by a large margin. Code is available at: https://github.com/guxinqian/TKP
Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning

Generating semantic layout from scene graph is a crucial intermediate task connecting text to image. We present a conceptually simple, flexible and general framework using sequence to sequence (seq-to-seq) learning for this task. The framework, called Seq-SG2SL, derives sequence proxies for the two modality and a Transformer-based seq-to-seq model learns to transduce one into the other. A scene graph is decomposed into a sequence of semantic fragments (SF), one for each relationship. A semantic layout is represented as the consequence from a series of brick-action code segments (BACS), dictating the position and scale of each object bounding box in the layout. Viewing the two building blocks, SF and BACS, as corresponding terms in two different vocabularies, a seq-to-seq model is fittingly used to translate. A new metric, semantic layout evaluation understudy (SLEU), is devised to evaluate the task of semantic layout prediction inspired by BLEU. SLEU defines relationships within a layout as unigrams and looks at the spatial distribution for n-grams. Unlike the binary precision of BLEU, SLEU allows for some tolerances spatially through thresholding the Jaccard Index and is consequently more adapted to the task. Experimental results on the challenging Visual Genome dataset show improvement over a non-sequential approach based on graph convolution.
InMotion Vs DreamHost: Who Is More Reliable? [A 2019 Review]

InMotion and DreamHost are among the competitive web hosts you can never go wrong with. Because you’ll probably want to narrow down on one, I'll compare InMotion Vs DreamHost to see how they fare on speed, uptime, security, and ease of use, among other factors.
Peningkatan Prestasi Belajar Ekonomi Dengan Penggunaan Strategi Tutor Sebaya Dan Snowball Throwing Pada Peserta Didik SMA N 15 Batam Tahun Pelajaran 2017/2018

Abstrak &#x0D; Dari pengamatan awal bahwa nilai peserta didik masih rendah yang disebabkan oleh beberapa faktor; baik faktor dari dalam maupun faktor dari luar, Dari faktor murid, ketersediaan sarana prasarana pendukung pembelajaran, faktor ekonomi siswa dll, diperoleh rata-rata awal baru mencapai nilai 68,41 dengan ketuntasan belajar 33,33%, peneliti berupaya mengganti metode konvensional menjadi metode yang konstruktivis menggunakan strategi tutor sebaya dan Snowball Throwing. Penelitian tindakan kelas yang dilakukan yang bertujuan untuk meningkatkan prestasi belajar siswa di kelas XI IPS 1 SMA N 15 Batam dilakukan dalam dua siklus dengan tahapan masing-masing mulai perencanaan, dilanjutkan dengan pelaksanaan, observasi dan refleksi. Setelah data dikumpulkan menggunakan tes dan dianalisis dengan analisis deskriptif, diperoleh peningkatan prestasi belajar pada siklus I menjadi 72,10 dengan ketuntasan belajar 48,72% dan pada siklus II sudah meningkat sesuai harapan yaitu rata-rata kelas yang dicapai 83,20 sudah melebihi KKM mata pelajaran 75 di sekolah ini dengan ketuntasan belajar 89,74% yang melebihi tuntutan indikator keberhasilan penelitian yaitu 85%. Kesimpulan yang bisa disampaikan adalah penggunaan strategi tutor sebaya dan Snowball Throwing dalam proses pembelajaran dapat meningkatkan prestasi belajar siswa.&#x0D; Kata kunci : strategi tutor sebaya; snowball throwing; prestasi belajar&#x0D; &#x0D; Abstract &#x0D; This study is a classroom action research aiming to improve student achievement in the XI IPS 1 class of SMA N 15 Batam. The research was conducted in two cycles with each stage startingwith planning, followed by implementation, observation and reflection. Based on initial observation, students gained lower everage 68,41with 33,33% completeness. It caused by several factors; student, the availability of learning infrastructure, and also student economic condition etc,.Regarding that situation, Researcher attempt to replace the conventional method to Constructivist methods by using peer tutoring strategies and Snowball Throwing. Data was collected using tests and analyzed by descriptive analysis, the first cycle, the everage increasing to 72.10 with 48.72% learning completeness and in the second cycle had increased as expected, the class average achieved 83.20 had exceeded the KKM 75 subjects in this school with learning completeness 89.74% which exceeds the demands of the indicator of research success which is 85%. The conclusion that can be conveyed is the use of peer tutoring strategies and Snowball Throwing in the learning process can improve student learning achievement.&#x0D; Keywords : peer tutorial strategy ;snowball throwing ;student achievement&#x0D; &#x0D;
A Novel Method for Detecting the Circle on Motion-Blurred Image

As a typical feature point with the distinct advantage of being detected easily, the circle has been widely used for camera calibration and motion measurement. However, motion blur may cause a negative effect on the accuracy of the center location. In this paper, the developed method for the circle detection on motion blur image is proposed, which consists of two procedures. Wiener filtering is used to restore a degraded image in the first step. Zernike moment is utilized to subpixel central location in the second step. Image restoring simulation and center detection experiments are provided to verify the performance of the method. Results show that the clarity of the images restored by Weiner filtering is high and the circles on the restored image can be detected successfully and located accurately.
ALPS 1.0: Towards Automated Lecture Profiling System

In this paper, we propose a multimedia framework to automatically profile student-teacher interaction during a lecture using a mobile. We employ audio, video, and text analysis to derive a subset of attributes that quantify student-teacher interaction. The profile thus created provides critical feedback to the teachers to improve their pedagogy. In the literature, there have been works on measuring the state of students in a classroom, such as alertness level and interest; however, to the best of our knowledge, there are no works on quantifying student-teacher interaction. We have built a prototype system to demonstrate the framework. Experimental results on real classroom data demonstrate the efficacy of our method. This is an important attempt towards building a complete profile to automatically characterize lectures in school and colleges.
The Performance of Neuro-Fuzzy Detection on Nonlinear Magnetic Recording Channels

This work proposes the nonlinear detection scheme using an adaptive neuro-fuzzy equalizer (NFE) for the nonlinear perpendicular magnetic recording (PMR) channels. Based on a Volterra model of PMR channels at high normalized recording density, the proposed NFE is derived in order to improve the system performance. The bit error rate (BER) performance of the proposed NFE is compared with that of the existing equalizer, i.e., multilayered perceptron neural network equalizer (MLPNNE) and fuzzy logic equalizer (FLE). At the normalized recording density of 3, the proposed NFE outperforms the others by 1 to 4 dB SNR gains.
Triangular Fuzzy Number Generator (TriGen)

The Triangular Fuzzy Number Generator (TriGen) demonstrated in this paper is a software tool which is developed to generate symmetry Triangular Fuzzy Number (TFN).Preparing TFN manually for fuzzy system or analysis requires calculation effort.When the number of data increases, calculating TFN requires longer time to complete and may exposed to calculation error.Hence TriGen is developed to diminish computational difficulties and reduce processing time of calculating TFN.This tool provides a function for capturing input data and calculates the spread of TFN based on Percentage Error and Standard Deviation approaches.The tool also embeds the formulas that allow it to calculate the actual result.Technical problem solving is described by numerical examples.
Selected Papers from the Eurasian Conference on Educational Innovation 2019

The Second Eurasian Conference on Educational Innovation 2019 (ECEI 2019) was held in Singapore on 27–29 January 2019, and provided a communication platform for researchers on the topic of educational innovations [...]
Augmented Reality in Training Engineering Students: Teaching Methods

The research aim. The research is intended to theoretically substantiate, develop and test methods of applying augmented reality to training future engineers. The research tasks include adaptation of augmented reality tools to apply them to laboratory classes while training future engineers; visualization of theoretical models of physical phenomena and processes using augmented reality tools; theoretical substantiation and development of methods of applying augmented reality to training future engineers. The research object is training future engineers at engineering universities. The research subject is methods of applying augmented reality to training future engineers. The research results are the following. There are analyzed national and foreign researches into issues of applying augmented reality to training future engineers at engineering universities. The augmented reality tools (HP Reveal) is adapted to be used in laboratory classes in physics while training future engineers. There are created augmented reality objects in the form of educational videos in which the structure of laboratory machines and procedures of working with them are explained. Methods of applying augmented reality to training future engineers at engineering universities are developed.
Analisis Tata Kelola Teknologi Informasi Untuk Meningkatkan Mutu Sumber Daya Manusia Pada Dinas Tenaga Kerja Dan Transmigrasi Provinsi Nusa Tenggara Barat Menggunakan Framework COBIT 5.0

The West Nusa Tenggara Department of Manpower and Transmigration (DISNAKERTRANS NTB) is one of the government organizations that assists the Governor of West Nusa Tenggara on labor and transmigration issues. IT governance in a company or organization is very necessary to harmonize organizational goals and strategies. With the problems found regarding to the resources both human resources and IT resources at DISNAKERTRANS NTB. Therefore, the purpose of this study is to determine the capability level of IT governance at DISNAKERTRANS NTB using the COBIT 5 framework by focusing on APO01 subdomains: Manage IT management frameworks, and APO07: Manage human resources. From the research results, the average capability level for the current conditions shows that APO01 and APO07 are at level 2. While the average capability level of the expected condition, shows that APO01 and APO07 are at level 4.to increase the current level, some recommendations are given to be considered by DISNAKERTRANS NTB in drafting the policies relating to the APO01 and APO07 processes.&#x0D; Keywords: IT governance, capability level, COBIT 5.0, APO01, APO07.
PERPUSTAKAAN “SENENG MACA” SEBAGAI SARANA MENINGKATKAN MINAT BACA MASYARAKAT DESA MELUNG

The "Seneng Maca" library, Melung village was established in 2015 with the intention that the reading interest of Melung villagers increased. This study was conducted with a descriptive qualitative approach, with data collection through observation, and interviews. As a result, with a collection of around 540 copies, the "Seneng Maca" library was visited by mothers while waiting for their children in PAUD and TK schools, school children after they returned (late in the afternoon), and PKK mothers when they were active in the village office near the library. It is recommended to be able to recruit workers or volunteers who have a background in library science, so that the "Seneng Maca" library can be better managed. It is recommended to develop planned collections with sources of village fund allocation. Keywords: Village Community Development, Village Library, Reading Interest.
Towards Better Generalization: BP-SVRG in Training Deep Neural Networks

Stochastic variance-reduced gradient (SVRG) is a classical optimization method. Although it is theoretically proved to have better convergence performance than stochastic gradient descent (SGD), the generalization performance of SVRG remains open. In this paper we investigate the effects of some training techniques, mini-batching and learning rate decay, on the generalization performance of SVRG, and verify the generalization performance of Batch-SVRG (B-SVRG). In terms of the relationship between optimization and generalization, we believe that the average norm of gradients on each training sample as well as the norm of average gradient indicate how flat the landscape is and how well the model generalizes. Based on empirical observations of such metrics, we perform a sign switch on B-SVRG and derive a practical algorithm, BatchPlus-SVRG (BP-SVRG), which is numerically shown to enjoy better generalization performance than B-SVRG, even SGD in some scenarios of deep neural networks.
Studi Pengelasan Friction Stir Welding dengan Bentuk Pin yang Berbeda pada Material AA 6061 - AA 6061 dengan Preheating 200° C terhadap Perubahan Sifat Fisis dan Mekanis

Friction Stir Welding (FSW) is a process of connecting materials with solid conditions which when the process of combining metals does not melt so that the characteristics of the parent metal do not change. The preheating process added to FSW to provide heat in the metal to be welded can get and maintain a temperature (the temperature in the parent metal around the area to be welded). The aims of research is to determine the effect of heat treatment on welding results using the friction stir welding (FSW) method on Series 6061 Aluminum Alloy and Series 6061 Aluminum Alloy on physical and mechanical properties, in which the friction stir welding (FSW) method used in this study was added with the preheating process. The results of this study the effect of heat treatment shows that the highest tensile stress value is a Triangle Pin with a value of 309.08 MPa, while the Circle Pin and Quadrilateral Pin are worth below which are 283.29 MPa and 240.30 MPa. In the tensile test the value of Circle Pin 13.22% is a high peling value, the value of the Triangle Pin and the Quadrilateral Pin are below that which are 12.32% and 7.11%. While the results of the hardness test the highest value of the weld area from the 112 VHN Triangle Pin treatment. The value of the Haz region of the treatment of the Circle Pin and the Quadrilateral Pin are the same, namely 112 VHN, where this value is higher than the value of the Triangle Pin 109 VHN. And the value of the Base area is highest in the treatment of Quadrilateral Pins 102 VHN. Dai, the most subtle micrograin photo test results obtained on triangular pin profiles.