Reviewerly/exHarmony huggingface dataset:
Contrast Retention De-coloring Based on Cosine Similarity

Image grayscale is to downscale a 3-dimensional color image into a 1-dimensional grayscale image. Due to the act of downscaling, the information of a 3-dimensional matrix is represented by a 1-dimensional matrix, and there will inevitably be information loss, which makes it very important to maintain the detail contrast information of the original color image to the maximum extent. In this regard, this paper proposes a two-way contrast retention model and algorithm based on cosine similarity. This model consists of two local contrast retention sub-models based on cosine similarity, and the two sub-models achieve complementary functions, which can play a contrast retention dephasing effect on the regions with large contrast and regions with small contrast in the original color image respectively, so that the total model can play a two-way contrast retention effect. In addition, the model is solved using a parameter discrete search strategy to improve the real-time performance of the algorithm.
Single-stage high performance network for tiny face detection

How to improve the detectability for tiny faces is a major challenge in face detection. To solve this issue, we raise a single-stage high performance network for tiny face detection. In feature fusion, multi-scale contextual feature selection and spatial pyramid pooling modules are adopted to extract contextual information with a fixed proportion to mitigate the information loss in the highest-level feature map of feature pyramid. In addition, during training, an improved anchor compensation strategy is used to match enough anchors for tiny faces to promote the learning of tiny faces. A test is conducted in the standard data set FDDB. Our method reaches 98.5% TPR (true positive rate) when the amount of false positive faces are the same as 1000. Meanwhile, a test is conducted in the standard data set WiderFace, and the terms of AP reach 97.0%, 96.2% and 91.8% on the easy, middle and hard subset. The algorithm in the paper can improve the performance of the face detector effectively.
Simple action recognition based on spatio-temporal features

Considering the information of video data spatially and temporally, this paper proposes a novel method of simple action recognition based on spatio-temporal features. For each frame, the spatial feature sequence is built by the joint angle features and the joint distance features after the human skeleton is obtained by the lightweight OpenPose. The atomic action is classified via the spatial feature sequences from video frames. Then, the atomic action label sequences are used to train hidden Markov models (HMMs) so that the constructed models can suit each action. This approach presents the advantages of the full use of the spatial features and the excellent learning ability of HMM. Experiments on datasets demonstrate the accuracy in simple action recognition of the proposed method.
Research on unsupervised monocular depth estimation based on hybrid ViT

Currently, depth estimation of 2D image is widely treated as an important technology for environmental perception in autonomous driving, but it still suffers from many issues. From the view of application, this work proposes an unsupervised monocular depth estimation based on hybrid ViT to improve accuracy and reduce cost. Specifically, the technology of convolution and transformer have been combined in this work to encode to extract fine-grained features. Besides, fusing multi-scale features to decode is also adopted to generate multi-scale disparity maps. Then, the loss is calculated based on multi-scale and full-resolution disparity maps, and stereo constraints to realize image reconstruction have been achieved finally. Additionally, experiments have been carried out on the KITTI dataset, and the measured results indicate that compared with the previous works, this work has made progresses in the indicators of error and accuracy, i.e., higher accuracy of 3.4% than baseline, more clear boundaries, fewer artifacts and higher quality of depth maps. It is proved that the combination of hybrid encoding, multi-scale decoder and full-resolution loss can bring significant effect on depth estimation, especially the hybrid encoding.
The Syntax of Nominal Appositions in Modern Standard Arabic

The current paper argues that there are three types of nominal appositions, i.e. two juxtaposed noun phrases (NPs), in Modern Standard Arabic (MSA). Each type shows special properties in terms of the nominal category of the two units, the deletion of the NP, word order, case agreement, and semantic relation. For each type, we propose a separate structural analysis. An adjunction analysis is motivated for Type I appositions which consist of a common noun followed by a proper name. For Type II appositions which involve two common nouns, we propose that they take a spec-head structure. A head-complement structure is finally proposed for Type III appositions which involve a pronoun followed by an accusative-marked NP.
A Phenomenological Study on the Life of a Korean School Teacher in the United States

The purpose of this study is to find the essential meaning of the lives of Korean school teachers in the United States. The data was analyzed using the phenomenological research method of Giorgi. The results of this study can be summarized as follows. Through the interview survey, the common meaning of life of Korean school teachers was revealed in four stages: motivation, growth, settlement, and meaning. The first step motivation to become a Korean school teacher was: as parents, taking their children to a Korean school. Most of them came from education-related professions, and although there were many difficulties at first, they overcame the initial stage with the feelings of parents and the sense of duty of the teachers. In the second stage, they experienced deep growing pains as teachers. Teachers' voluntary competency development efforts and government support helped the professional growth of Korean school teachers. There were many failures, worries, sacrifices and investments, but through this, they continued to develop themselves. The third stage was to develop professionalism as a Korean school teacher. Experience, systematic operation know-how, and help and cooperation among teachers played a big role. The common value of living in an unfamiliar foreign country and wanting to have a Korean identity was found among teachers, parents, and students. The popularity of Hallyu raised the status of Korean schools along with the rise of national prestige, and the quality of education also improved as the professionalism of Korean school teachers improved. In the fourth stage, the Korean school teacher became everything in life. At first, the job was a part of life and they thought it was a sacrifice, but now it is more rewarding and satisfying, and it has become the meaning of life. It is difficult to generalize the life of a Korean school teacher because the subject of this study is a Korean school in the United States. In the future, it is necessary to study the lives of Korean school teachers in various countries around the world.
Analysis of multivariate time series for some linear models by using multi-dimensional wavelet shrinkage

The wavelet transform for multivariate time-series analysis and prediction is performed using an automatic slow distribution model and the prediction accuracy is compared with the normal method through the use of statistical criteria.By taking the variables represented by the gross domestic product as a response variable and air pollutants as explanatory variables represented by the emissions of nitrous oxide and carbon dioxide in Iraq.The study showed that there is an inverse relationship between the emissions of carbon dioxide and gross domestic product, while a positive relationship between the emissions of nitrous oxide and gross domestic product.And that the variables analysis and prediction after performing the wavelet transform of the data is the best because it contains the lowest values of the mean square error criterion and the mean criterion of absolute error.
PENGEMBANGAN KETERAMPILAN GERAK TARI LITERASI TERHADAP KEMAMPUAN MEMBACA HURUF SISWA KELAS 1 SEKOLAH DASAR NEGERI BANJARWANGI

This study aims to determine the development of literacy dance skills on the ability to read letters grade 1 students of Banjarwangi State Elementary School. Learning to read in class 1 Banjarwangi State Elementary School there are obstacles namely when the teacher teaches reading and lack of confidence and student activity, lack of reading skills and lack of enthusiasm so that teachers experience obstacles and limitations in making learning media that is truly suitable and in accordance with the material to be taught. This study aims to develop and test the effectiveness of literacy dance skills on the ability to read letters of grade 1 students of Banjarwangi State Elementary School. The formulation of the problem in this research is how to develop literacy dance skills on the ability to read letters and instill character in first grade students of Banjarwangi State Elementary School? The research method used is the development method with research or development design or R&amp;D (Research and Development). This research was conducted at the Banjarwangi Public Elementary School in the District of Salopa in Tasikmalaya Regency in grade 1 students, the sample taken in this study was 9 students. Small groups of 1 person and large groups of 8 people. Data collection techniques in this study used a Questionnaire and Test dance literacy. The results of the study that literacy dance moves are suitable for the reading ability of grade 1 students of Banjarwangi State Elementary School.
Improve a secure blind watermarking technique for digital video

In recent years, digital watermark video has become increasingly popular in a range of industries, but because it is widely available on the Internet, it is simple to make unlawful copies and tamper with digital video.Watermarking digital video has become more popular as a method of detecting changes and preventing illegal duplication.This paper presents a video copyright protection system that is secure, blind, and robust.Two approaches that are resistant to diverse attacks are proposed in this research.The initial step is to encrypt a hybrid watermark (Message, Image) using two different encryption techniques (RSA and AES).The second is a steganography technique based on LSB-based robust watermarking, which embeds an encrypted secret bit Message and Image in key frames of an MP4 video file by utilizing the mean of the grayscale images that differ and take the most significant differences between the two images.The intensity of the histogram will become more consistent across all pixels as the encryption quality improves.For keyframe watermarking in the spatial domain, the proposed methods can maintain the watermarked information while achieving high imperceptibility and a Peak Single to Noise Ratio [PSNR] equivalent to more than 50 db, where quality measures (MSE, PSNR, and correlation coefficient) that calculate the levels of distortion caused by embedding a watermark in digital video produce good results.
The Use of Trusted Log Storage and Verification System Based on Blockchain for Manufacturing Execution System

Blockchain origins from bitcoin which runs successfully since it was launched in 2009. The three most significant properties of bitcoin are decentralization, trusted feature and transparent. For those reasons, recently, the blockchain technology draws increasing attentions both from the academic circle and the Internet industry for it is able to not only build up cryptocurrency but also implement a trusted log system, which ensures all the logs are not tampering. This paper, firstly introduces the basic principles and applications of blockchain, such as hash function, hash pointer, digital signature. and then implements a blockchain-based trusted log storage and verification system in MES system.
A New High-Dimensional Particle Swarm Evolution Algorithm Based on New Fitness Allocation and Multi-criteria Strategy

A large number of increasingly complex multi-objective optimization problems have emerged in scientific research and engineering practice, especially high-dimensional multi-objective problems, which has become a problem in the field of intelligent optimization. In order to solve the shortcomings of multi-objective particle swarm optimization in high-dimensional optimization, a new fitness allocation and multi-criteria mutation strategy for high-dimensional particle swarm evolution (FAMCHPSO) is proposed by combining fuzzy information theory and new mutation methods. The algorithm combines fuzzy information theory to abandon the disadvantages of the traditional fitness allocation method of multi-objective optimization algorithm, and proposes a new fitness allocation method, which increases the pressure of population selection, eliminates the influence of external uncertain factors on the algorithm and simplifies the algorithm process, making it suitable for solving high-dimensional multi-objective optimization problems. A new multi-criteria mutation strategy is introduced to effectively perturb the multi-objective particle algorithm, effectively avoiding the algorithm to fall into a local optimum. The FAMCHPSO algorithm is compared with three other representative multi-objective evolution algorithms on the DTLZ series test function set. The simulation results show that the FAMCHPSO algorithm has a significant performance advantage in terms of convergence, diversity, and robustness.
Prediction of Phishing Website for e-Banking Using Data Mining Techniques

Classification Data Mining (DM) Techniques can be a very useful tool in detecting and identifying e-banking phishing websites. In this paper, we present a novel approach to overcome the difficulty and complexity in detecting and predicting e-banking phishing website. We proposed an intelligent resilient and effective model that is based on using association and classification Data Mining algorithms. These algorithms were used to characterize and identify all the factors and rules in order to classify the phishing website and the relationship that correlate them with each other. We implemented six different classification algorithm and techniques to extract the phishing training data sets criteria to classify their legitimacy. We also compared their performances, accuracy, number of rules generated and speed. A Phishing Case study was applied to illustrate the website phishing process. The rules generated from the associative classification model showed the relationship between some important characteristics like URL and Domain Identity, and Security and Encryption criteria in the final phishing detection rate. The experimental results demonstrated the feasibility of using Associative Classification techniques in real applications and its better performance as compared to other traditional classifications algorithms.
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empirical investigation the impact of employee perceived (HPWS) on employee innovation as Related to creative self-efficacy

Aim &amp; Background: An major role in management is played by a high-performance work system (HPWS). However, the lack of high-performance systems in organizations decreases their responsiveness to change and creates hurdles to improvement and innovation, Promotion, Prevention, and most significantly, creative employee self-efficacy in the organizational strategy of Human Resource Management. Methods: The ages of the respondents ranged from 18 to more than 46 years, according to the data gathered for the frequency poll. A statistical study shows that of the 105 participants, 63 were men and 42 were women, In the Erbil Kurdistan region, data was gathered. There were paper surveys from all of the Erbil Kurdistan region that were included in this study. As of this writing, 105 questionnaires had been completed. SPSS software was used to test and analyze the hypotheses. Results: findings show that there is positive and significant effects and the correlation between HPWS, Organizational Identity, employee innovation, and Creative self-efficacy. Research limitations: the research limit generalizability of the findings of our study can be useful at that particular time and cannot be replicated. Future studies should focus on the elements that positively promote creative self-efficacy.
The Students’ Perception of Teaching English Paragraph Writing Based on Problem-Based Learning Method

This research is to find out the students’ perceptions of teaching English paragraph writing based on Problem-based learning method. The researcher applied descriptive qualitative research. This research was conducted in English Education Department, Faculty of Education and Teacher Training of Muhammadiyah University of Makassar. The subject of the research were fourth semester students in academic year of 2018/2019. The instruments of this research were a questionnaire to find out the student’s perception. The result of this research found that the students’ perception of English Paragraph Writing materials based on Problem-based Learning was positive.
Klasifikasi Penentuan Penerima Bantuan Sosial Tunai (BST) Menggunakan Algoritma C4.5 Di Desa Keramas, Gianyar, Bali

The current Covid-19 pandemic has led to an increase in the poverty rate in Indonesia. To overcome the decline in income, the Ministry of Social Affairs provides Cash Social Assistance (BST) to 9 million KPM in Indonesia. One of the villages that received cash social assistance is Keramas Village. The problem is that the BST recipient is not precise. The purpose of this study is to classify the eligibility of BST recipients using the C4.5 algorithm and the C4.5 algorithm is expected to be able to provide recommendations for decision making in receiving other assistance. The results of this study are to predict whether the community is eligible or not eligible to receive BST. Researchers tested using 5 attributes, including having received other assistance, employment, education, having a poor card, and number of dependents. The test uses 2,074 data which is divided into 2 types of data, namely 80% training data and 20% testing data. This test produces an accuracy of 97.83% and compares with the K-Nearest Neighbor algorithm which produces an accuracy of 92.29% and Naïve Bayes of 91.81%.
Information Literacy Programme and the Use of Legal Information Resources by Undergraduate Law Students in Bayero University, Kano

The paper examined the information literacy programmes on the use of legal information resources by undergraduate law students in Bayero University, Kano. The study investigated the information literacy programmes of undergraduate law students with specific focus on the impacts of literacy programmes on the use of legal information resources in faculty of law library, Bayero University, Kano. The study employed quantitative research method using cross-sectional survey research design. The population of the study comprised of Head of the Law Library, eight staff of the law library and 1,071 registered undergraduate law students of 2017/18 academic session in Bayero University, Kano. The Isreal formula for determining the sample size (1993) was used to calculate the sample size of two hundred and ninety one (291) undergraduate law students. A total number of 291 copies of questionnaire were administered, and 247 were returned and found useful for analysis. Data collected from undergraduate students was analyzed using descriptive statistics and Narrative analysis was employed for the qualitative data collected from the head of the law library. The findings of the study showed that the library orientation exercise, library tours by chambers and course related Instruction such as legal methods and GSP Programme on the use of the library are the literacy programmes available to undergraduate law students of Bayero university, Kano; while lack of university commitment to information literacy programme, lack of regular information literacy programme and faculty unwillingness to incorporate information literacy programme into the curriculum are the factors hindering effective information literacy programme in law library in Bayero University, Kano. The study concludes that, the success of information literacy programme on the use legal information resources in faculty of law library in Bayero University, Kano can be achieved through collaboration with faculty members. The study recommends for the provision of regular information literacy programs among others.
Approaches to the Use of the Game in the Development of Mathematical Representations

Modern requirements for preschool education determine the need to use new organizational forms in which elements of cognitive, search, game and educational interaction would be integrated. The purpose of this Law is to regulate relations in the field of preschool education and upbringing. The following basic concepts are applied in this Law: state preschool educational organization — an organization funded and managed by the state and providing preschool educational and educational services in accordance with the state standard of preschool education and upbringing. It is necessary to interest children in mathematical material, to activate their logical mental activity, to entertain and captivate children, to deepen and expand their mathematical representations, to consolidate acquired knowledge and skills, to exercise children in the application of skills and knowledge in other activities.
Perbandingan Hasil Belajar IPA Siswa Dengan Menggunakan Media Power Point Dan Hasil Belajar IPA Siswa Tanpa Menggunakan Media Power Point (Studi Eksperimen Pada Siswa Kelas V SD Inpres 12/79 Gattareng)

This study is a true experimental quantitative research design that aims to determine whether or not there is a significant difference in the use of power point learning media on the science learning outcomes of fifth grade students of SD Inpres 12/79 Gattareng. Based on the results of descriptive statistical analysis, the average posttest value for the experimental class was 88.69 with a percentage of 95.2% in the very good category and the average posttest for the control class was 73.75 with a percentage of 42.8% in the good category. Based on the results of inferential statistical analysis shows the tcount value (5.223) is greater (&gt;) the ttable value (2.04227) at the 5% significance level. Thus H_0 is rejected and H_1 is accepted. The results obtained in the study are that there is a significant difference between learning using power point media and learning without using power point media.. This is because the use of power point learning media attracts students attention more and increases students knowledge in understanding science learning materials and can meet all student learning styles.