Reviewerly/exHarmony huggingface dataset:
A method of automatic photo selection for photo albums

Recently, there has been an increase in the number of photos taken by people in especially unusual situations such as travel and ceremony. The photo groups taken in unusual situations have similar images and low-quality images such as under/overexposure and blurred images. For that reason, it is time consuming to summarize photos for creating photo albums. Therefore, we propose a method of automatic photo selection for photo albums. The proposed method can avoid to select low-quality images as candidate images automatically. Additionally, similar images are grouped and narrowed down the only most high-quality image that is selected as candidate image. The proposed method calculates the score of each candidate image, and selects final-images according to the score and scenes.
4. The Ways of Artistically Gifted Children’s Identification in Primary Education

Abstract The article is dedicated to the problem of giftedness’ identification in the educational process. The principal motivation for this thesis is the lack of pedagogical technologies which ensure the effective identification of gifted children and the unsounding of education practice in the development of musical talent where the first step must be treated its effective and objective identification. Has been proved the pedagogical prospect for practice implication, which combines a sequence of giftedness’ abilities.
A context-aware anchor-free tiny object detector for aerial images

Object detection in aerial images is a task of predicting the target categories while locating the objects. Since the different categories of objects may have similar shapes and textures in aerial images, we propose context-aware layer to provide global and robust features for classification and regression branch. In addition, we propose the <i>CentraBox</i> to reduce unnecessary training samples during the training phase. We also propose the instance-level normalization to balance the contributions among the instances. Finally, we compare our method with other methods in terms of accuracy, speed and parameters usage. Moreover, we also compare our own method with different hyper-parameter settings.
A method of projection mapping from a moving cart with reflecting position information

In this study, we have developed a projection mapping system that projects images onto the ground using projectors mounted on an auto-driving cart. By reflecting the position information for auto-driving in the projected image, we realize projection mapping in which the image changes appropriately as the cart moves. In an experiment using a prototype system, we confirmed that projection mapping by our method can realize the expression that the characters appear in the headlights as the cart moved.
Social Competencies and Reading Skills Acquisition in Childhood: Is there a Link?

This paper is based on a study that deployed quantitative research methods to examine the relationship between social competencies and the acquisition of reading skills in childhood. The paper is a response to the Tanzanian government’s efforts towards improving the learning outcomes among primary school learners. Literature shows that among the key skills that need to be instilled by teachers in pupils is reading ability. Several attempts have been made by the government to improve learners’ learning outcomes; yet empirical evidence reveals that things have not worked to the expectations. It was, therefore, important to investigate the position of social competence skills in the acquisition of reading skills. The study was conducted in Babati Town Council, Manyara region in Tanzania. The study involved six wards from which 17 primary schools were randomly selected. Stratified random sampling was deployed to recruit pupils from the selected schools. A total of 340 pupils were recruited (163 boys and 177 girls). Data on social competence skills were collected using the social competence skills assessment tool, while those on reading skills were collected using an age-appropriate reading skills assessment tool. Logistic Regression analysis was run to estimate the impact of social competence skills on binary outcomes, while Ordinary Least Square Regression (OLS) with multiple predictors was used to estimate outcomes of continuous variables. The findings generally show that the studied six social competence skills (predictors) had no statistically significant contribution towards the pupils’ reading acquisition. The study concludes that social competence skills have a slightly positive impact on children’s acquisition and mastery of reading skills. This study represents an important shift in the focus of research by shedding light on the children’s social adjustment and reading acquisition in early childhood education. Keywords: Social competence skills, reading skills, academic success, early childhood education, reading achievement, socio-cultural DOI: 10.7176/JEP/13-12-12 Publication date: April 30 th 2022
Empowering Youth for Future Sustainable Development Through Integration of ICT Using Computer Education for Youth Capacity Building And Emancipation

Youth remains one of the greatest assets that any nation can possess.Potentially, they are the greatest investment for a society's sustainable development and future.This is why it is globally and universally acknowledged that positive fundamental and meaningful changes across economic, political and cultural settings are usually engineered, fostered or shaped by the generation of youths in that society.Therefore, all culture, community and nation, whether macro or micro will allow a good percentage of her youths to be positively engaged to have her future viability and survival sustained.In Nigeria, youth empowerment has brought about a decrease in breakdown of law and order, low crime rate and intra-ethnic hostilities, increase in job creation and high productivity which have elicited national development.Youth empowerment is the most recent slogan in the mouth of contemporary global leaders and well-meaning stakeholders and citizens.Computer education is one of the main keys to economic development and improvements in human welfare.As global economic competition grows sharper, Computer education becomes an important source of competitive advantage.This paper examines empowering youth for a sustainable future through computer education.It was concluded that youth empowerment is a panacea for sustainable future and national development.Areas of concern are integration of Computer education for youth capacity building and sustainable development.The paper recommended that youths should be geared towards developing human and material resources, process and technological skills through computer education.This will sustain them occupationally and equip them better for technical work and self-employment to build the nation and bring sustainable development.
Future Directions in Digital Information: Predictions, Practice, Participation (Chandos Digital Information Review Series)

"Future Directions in Digital Information: Predictions, Practice, Participation (Chandos Digital Information Review Series)." Journal of Electronic Resources Librarianship, 34(1), p. 85
Three-stage deep learning system for recognizing contaminated serial numbers in hard disk drive: a comparison study with two-stage deep learning model

The previous two-stage deep learning model for detecting and classifying misidentified serial numbers on the defect hard disk drive (HDD) slider was proposed by authors. We found that the threshold level adjusted during preprocessing process could limit the robustness of the two-stage model in large-scale manufacturing. Thus, we proposed a three-stage deep learning model comprised of 1) region of interest (ROI) detection and cropping, 2) character detection and cropping, and 3) character classification. Object detection algorithm and classification network used in this model are based on YOLO v.4 and EfficientNet-B0. The 1000 images captured by the digital camera were used for training (600 images) and validation (400 images) of the ROI detection model. The other 1000 captured images were used for testing the performance of the proposed three-stage model, then we compared them with those obtained from the previous two-stage model. The proposed three-stage model reaches F1 score = 0.997 and recovery rate up to 95.9%, while the two-stage model yields only 0.948 and 73%, respectively.
Optimize AI pipelines with SYCL and OpenVINO

Sensor data processing pipelines that are a ”mix” of feature-engineered and deep learning based processing have become prevalent today. For example, sensor fusion of point cloud data with RGB image streams is common in autonomous mobile robots and self-driving technology. The state-of-the-art in computer vision for extracting semantic information from RGB data is using deep learning today, and great advancements have been made recently in LiDAR odometry based on deep learning [x]. At the same time, other processing components in ”mixed” pipelines still use feature-engineered approaches that are not relying on deep neural nets.
Formats of Pedagogical Support of Teachers in the Digital Educational Environment

The author presents the result of the research on formats of interaction with students in the situation of self-isolation as well as the relevant content of teacher’s support and pedagogical support provided by a higher school teacher. It is shown that the situation in education caused by the pandemic in the spring of 2020 has led to the necessary revision of the traditional forms of pedagogical activity such as lectures and seminars. The traditional forms and methods of interaction with students have become almost impossible to use. The article provides a detailed description of the transfer of educational process in higher school to the remote work format. It also describes the author’s pedagogical findings and gives specific examples of tasks for students. The study has proved that the transfer of learning process to the remote work format is efficacious when realized in accordance with the following stages of teacher’s support and pedagogical support of students: creating a sensation of stability of existence in the educational process; forming positive emotional background in the classroom; actualizing the evolutionary processes of transition to the adoption of digital education; minimizing the risks caused by a lack of direct contact with students; forming an ability to obtain profit from the situation to self-determination and self-development. The author presents the content of each stage and shows how these stages are pedagogically provided due to the primary trial to transfer traditional types of classes to a digital educational system, due to the formation of new formats of interaction between teachers and students and living through it as well as in the process and as a result of the search for pedagogical opportunities to organize the procedure of midterm and end-of-course assessment as a situation of personal and professional self-determination in the problem. It is proved that a combination of live broadcast on Zoom with the following submission of completed tasks for teacher’s review in the system Ipsilon Uni has turned out to be the best possible format of classes for students.
Korean Named Entity Recognition Using Data Augmentation Techniques

Named entity recognition (NER) is the task of natural language processing that recognizes a predefined entity name such as a person, place name, or organization into a token in a sentence. The NER is important because it significantly affects the performance of subsequent analyses including semantic search, question answering, and machine translation. The performance of NER for English has been greatly improved with an advent of deep learning techniques with a large dataset of English. However, only few studies have been conducted for languages spoken by ethnic minorities, such as Korean (i.e., Hangul), because an appropriate dataset for NER is difficult to obtain. In this study, we propose using various data augmentation techniques to improve the performance NER for Hangul datasets. Our methods can be applied without pre-trained models or external pre-building. We demonstrated the usefulness of the presented data augmentation techniques using a Changwon University-Naver Challenge dataset and found that even a small dataset can achieve a satisfactory performance for Hangul NER.
Implementation and Performance Analysis of Elliptic Curve Cryptography using an Efficient Multiplier

In Elliptic Curve Cryptography (ECC), modular multiplication in a finite field is a resource-consuming operation. The design of an efficient multiplier for ECC implementation in FPGA is an ever-evolving research problem. In this paper, we provide an efficient implementation of ECC for GF (2<SUP>233</SUP>) in FPGA. We propose a hybrid Karatsuba multiplier which is found to be occupying lesser slices compared to other optimized Karatsuba multiplier in [1]. This, in turn, amends the efficiency of the ECC processor in the FPGA platform. The proposed processor is implemented in ZedBoard containing Xilinx XC7Z020-1CLG484C Zynq-7000 AP SoC. In comparison with other similar works, the implementation results of ECC show consequential competitiveness in hardware efficiency and we obtain an efficient multiplier and ECC processor realized in FPGA. From the application point of view, ZedBoard has an ARM Processor and hence this can be utilized in vehicle On-Board Units (OBU) because of its lightweight properties.
Implementation Details of Decision Tree Algorithms Using Dataflow

This chapter presents dataflow paradigm in general and streams of data, offsets, different number representations as key points for acceleration and discusses implementation details of C4.5 on the dataflow accelerators. The limited number range of the algorithm makes it suitable for dataflow implementation using custom data types and its iterative nature enables utilization of data streams. It is shown how part of an algorithm (information gain entropy) can be migrated using advanced optimization constructs.
Quantitative Analysis of Thyroid Nodules’ Severity and Changes in the Voice Box

Voice is the most natural way to express one’s thoughts, but thyroid disease degrades the quality of one’s voice. Thyroid nodules are lumps of thyrocytes in the thyroid gland that may press the voice box, which results in voice change. To visualize the growth in the thyroid gland, the modified 3D Level Set Volumetric Segmentation (3D LSVS) techniques were used. Thyroid nodules’ severity can be measured based on the volume of the lump. An inferential statistic occurs with confidence intervals between the substance of very high concern (SVHC), Systemic Viral Infection (SVI), STMW and SVHD using Multivariate analysis (MVA) and testing. Acoustic analysis measured the voice changes. Different prevalent methods are compared concurrently and the results of quantitative analysis are better.
Study about Classical Soliton Theory for Dynamics and Evolution of in Network

This study presents the dynamic model of the soliton. Based on this model, it is supposed to study the state of the network. A neuron in the human brain can have thousands of synaptic connections to other neurons. The resulting network of connected neurons in the cortex is responsible for processing visual, audio, and sensory data. Artificial neural networks use a highly simplified model for the fundamental computing unit-the neuron. In the presence of different chirality, three states are possible, with positive chirality, the signal is transmitted without loss, with negative chirality, the signal creates pulsations in certain parts of the axon. In the absence of a signal, a chaotic self-excitation is observed in the axon.
The Effect of Approved Exporter System on Exporting SMEs and Ways to Improve the System

수출 기업의 제품 경쟁력 확보를 위한 FTA 활용률이 높아져 왔지만, 원산지증명서 발급을 위한 다양한 서류를 구비하는데 발생하는 시간과 비용으로 인해 중소기업은 FTA 활용에 어려움을 겪고 있다. 이를 지원하기 위해 세관에서는 2008년부터 원산지증명 능력이 있다고 인증된 수출자에게 원산지증명서 발급권한 또는 첨부서류 제출 간소화 혜택을 부여하는 원산지인증수출자 제도를 실시하였다. 이러한 원산지인증수출자 취득업체가 확대되면서, 최근에는 제도 관리 및 사후검증의 문제가 대두되고 있다. 따라서 본 연구는 경산상공회의소의 원산지증명발급 데이터를 활용하여 원산지인증수출자 제도의 도입 전후 원산지 증명서 발급 반려율을 비교하여 원산지인증수출자 제도 효과의 유의성을 분석하고, 이에 대한 관련 기업의 심층인터뷰도 진행하여 양적연구와 질적연구를 동시에 진행하고자 한다. 연구 결과, 원산지증명서 발급신청 반려울을 인증업체보다 미인증업체가 높다는 것이 통계적으로 유의하여 원산지인증수출자 자격 취득 유무에 따른 반려율에 유의미한 차이가 존재한다는 결과가 도출되었다. 심층 인터뷰를 통한 질적연구로는 실무자들의 제도에 대한 이해도, 제도 관리의 필요성과 관련 애로사항을 도출하였다.Although the utilization rate of FTA to secure the product competitiveness of exporting companies has increased, SMEs are having a difficulty in using FTAs due to the time and cost of preparing various documents necessary to issue certificates of origin for the application of preferential tariffs. To support these problems, Korea Customs Service has implemented approved exporter system since 2008 that grants the right to issue a certificate of origin or the benefit of simplifying the submission of documents to exporters who have proved their ability to certify origin. With the expansion of companies acquiring approved exporters, problems of management and post-verification have recently emerged. Therefore, this study aims to investigates the approved exporter system’s effectiveness by comparing the rejection rate of issuance of certificates of origin before and after the introduction of the system using the data from the Gyeongsan Chamber of Commerce and Industry. It also conducts in-depth interviews on with related companies. As a result, it was found that the rejection rate of application for issuance of certificates of origin is higher for uncertified companies than certified companies. There was a difference in the rejection rate depending on whether or not the approved exporter was qualified. This study may provide valuable implications for policy makers for effective trade policy.
Professional Training of the Future Teacher in the Conditions of Modern Classical University Education

The article presents the results of theoretical and experimental research, which indicate that the features of modern classical university education (fundamentalization, humanitarization, integration, innovative scientific and educational environment, active participation of students in activities that are essentially socio-pedagogical in nature, etc.) largely determine the process of professional training of future teachers at the university. It is shown that if these features are objectified in real reality, then under certain conditions, some students of the classical university begin to form a professional and pedagogical orientation, which is expressed in the emergence of motivation for pedagogical activity the needs for the implementation of pedagogical functions, pedagogical orientation of thinking, systematic vision of pedagogical reality, etc. The conditions are revealed, the implementation of which contributes to the emergence of these neoplasms in students as the most important professional and personal characteristics of a teacher.
Seismic Soundoff: Building a volcano early warning system — A GWB story

This episode features Katrin Sieron and Blake Weissling discussing their Geoscientists without Borders (GWB) project on Pico de Orizaba — the highest volcano in Mexico. Sieron and Weissling provide an overview of their project, highlight their accomplishments, and reflect on the legacy of their work. Hear the full episode at https://seg.org/podcast/post/14727 .
A Study on the Smart Joint Logistics Center in the 4.0i Era

본 연구에서는 4.0i시대 스마트물류센터의 현황, 문제점 및 개선방안에 대하여 검토하였다. 현재 스마트 물류센터 구축과 관련한 가장 큰 문제점으로는 스마트 물류센터의 경우 단일 업종에 국한되어 운영되고 있으며 국내 스마트물류 기술의 적용은 선진국의 기술을 충분히 반영하지 못하고 있고 중소기업이 스마트물류센터를 건설하기에는 진입 장벽이 높다는 것을 알 수 있었다. 탄소중립 및 ESG강화에 따라 친환경 고효율 물류센터 구축이 필요한 상황에서 스마트물류센터 구축은 반드시 필요한 상황이며 이러한 스마트물류센터를 구축하기 위해서는 각종 지원과 육성이 반드시 필요한 상황이라 할 수 있다. 이를 위해서는 자율주행 화물차, 클라우드, AI와 IoT 활용 및 콜드체인 기술 등 첨단 물류기술을 개발하기 위해 노력해야 할 것이며 지원책을 마련해야 할 것이다.Purpose : In this study, the current status, problems, and improvement plans of smart logistics centers in the 4.0i era were examined. The biggest problem with the current smart logistics center construction is that it was difficult to see cases where advanced smart logistics technologies from other countries were applied in Korea. Research design, data and methodology : In this study, as it is necessary to establish a smart distribution center in relation to the establishment of a smart distribution center, this study tries to find ways to improve the problems that may arise in the establishment of a smart distribution center by improving the problems associated with the establishment of the smart distribution center. As a research method, support measures were used, focusing on literature studies and case studies. Results : According to the results derived from this study, the biggest problem is the lack of technology for smart logistics technology, and there is a disadvantage that the synergy effect is insufficient due to the technology development by individual companies. Conclusions : In this study, it is necessary to prepare support measures by having a specialized operating institution that can promote the creation and vitalization of the logistics information ecosystem.
The Practice of Teaching Reading Comprehension in Primary Schools: The Case of Five Selected Woredas of Wolaita Zone Grade Five Are in Focus

The main aim of this study was to examine teachers' current practice of teaching reading lesson in grade 5 from selected schools of Wolaita zone.For this study, descriptive survey design and data analysis approach was employed.One hundred grade five English teachers who are currently teaching in target schools in 2012 E.C academic year were selected using simple random sampling techniques.Besides, class room observation, teachers' questionnaire, teachers' interview and document analyses were tools of data collection.Descriptive analyses of percentages and thematic narration of qualitative data was employed.The result from data analyzed shows that there is serious miss match between methods and procedures suggested to implement reading lesson in text books and teachers way of implementing the lesson in the schools.It shows as teaches were not following strategies and procedure suggested in the new text book.They were observed while teaching reading not following teachers procedure suggested guide, they only follow students text book.The result also revealed that most of the teachers were non graduates of English and they were assigned by the school to solve teachers' scarcity.The data also informed that there is text book scarcity in the schools.Teachers were implementing the lesson reading using very small number of texts in class for students.Thus, it is possible to recommend that untrained and non graduates of English teachers who were teaching reading in English need to be replaced by English teachers.In addition to these, CTES should train sufficient number of teachers to teach in primary grades.Furthermore, teachers need to get refreshment training on methods and procurers of teaching reading as they were suggested in TG and SB.Finally, MoE needs to re distribute TG and SB in the number of students.