Reviewerly/exHarmony huggingface dataset:
A hybrid method for digital video compression using Moji conversion technique and a grounded Mojave tree

The research and studies of compressed digital files is aimed to ease of dealing with communication networks and the Internet, and that by reducing the size of transferred multimedia files, as well as used to increase the security of information transmitted through digital files. The search has been relied on hybridization wavelet transformation and Embedded Zero-Tree Wavelet (EZW) for compression of digital video files , and through the introduction of digital video file to be compressed and then cut up into a series of frames and then analyzing each frame to slide three colorimetric (red, green, and blue ), and then apply the Haar_Wavelet because of its advantage in the multivariate analysis of the image into a number of packets sub that facilitates the process of compression for the purpose of access to the best results in the recovery and that by keeping monuments basic image, interference with Embedded Zero-Tree Wavelet in compression technology on each of the three color slides and through the application of coding and quantization processes and Dominant Pass Function and Subordinate PASS Function. After that process is decompression, and by using a set of tools and comparative examination shows that the results were compatible with the requirements of the research.
A Case Study on Learner Awareness of the Learning Community in College

본 연구에서는 교수자와 학습자의 협력학습 체제인 학습공동체에 대한 학습자들의 인식과 공동체 활동으로 인해 나타나는 학습효과를 분석하는데 목적이 있다. 이에 충청북도 소재 A대학의 교수학습지원센터에서 운영한 교수자와 학습자 상호작용 기반의 사제이음공동체 프로그램에 참여한 학생 211명을 대상으로 해당 공동체에 대한 인식과 학습과정과 활동에 대해 구체적으로 작성한 성찰 일지 내용을 분석하였다. 연구결과는 다음과 같다. 첫째, 공동체 프로그램에 참여한 학생들은 교수-학습 상호작용을 통한 학습효과에 대해 긍정적으로 인식하고 있는 것으로 나타났다. 즉, 공동체 내에서 교수자의 역할은 학습자들이 개별학습에서 경험하게 되는 학습곤란을 해결해 주고, 학습과정 전반의 점검을 통해 효율성을 제고할 수 있도록 프로그램이 설계ㆍ운영되었기 때문이라고 분석할 수 있다. 둘째, 공동체는 학습자 개인의 사고를 검증하고 변화시킬 수 있는 환경을 제공해 주기 때문에 학습효과에 긍정적인 영향을 미쳤다고 분석할 수 있다. 동료 학습자들과 상호작용을 통해 학습이 촉진되는 등의 사회적 구성주의의 결과로 나타낼 수 있는 학습효과가 작용했기 때문이라고 볼 수 있다. 셋째, 본 연구에서의 공동체는 학습주제, 학습목표, 학습내용을 포함한 모든 학습계획을 자발적으로 수립할 수 있도록 하였다. 이 전략은 성취를 위한 목표를 학습자에게 정의하게 함으로써 목표지향성을 유지할 수 있도록 했기 때문에 학습목표가 미래의 중요성과 연관되게 인식하여 학습동기를 유지시킬 수 있었다고 볼 수 있다. 넷째, 공동체에 참여하는 모든 학생에게 성찰일지를 작성하도록 하였다. 특히, 학습 결과만을 기록하는 것이 아닌 학습 과정 중에 일어나는 사건에 대한 경험들을 기록하였기 때문에 성찰을 통한 학습효과에 긍정적인 영향이 작용했다고 볼 수 있다. 마지막으로, 공동체 프로그램의 효과성을 분석한 결과, 프로그램의 재참여 의향이 가장 높게 나타났다. 이는 프로그램에 참여한 학습자들이 교수자의 지도와 즉각적인 피드백 등을 통해 학습 활동을 효율적으로 수행할 수 있기 때문이라고 할 수 있다. 또한 학습 과정에서의 학습곤란을 겪었던 경험을 교수자의 지도를 통해 극복할 수 있는 계기가 되었기 때문에 프로그램에 대한 재참여 의향이 가장 높게 나타났다고 볼 수 있다.The purpose of this study is to analyze learners perceptions and the learning effects of collaborative learning based on a teaching and learning community. A survey of 211 students was conducted to analyze the reflection and the journal of the teaching and learning community. The results found that, first, the learners recognized the learning effect of the teaching and learning interaction positively and understood that the role of the professor was designed to be included in the community to improve the efficiency of the learning process. Second, the teaching and learning community has a positive impact on the learning effect because it provides a social environment that can change the learner’s thinking. Third, the teaching-learning community made it possible to plan learning objectives voluntarily. Through this, learners were able to maintain motivation because they could maintain goal orientation. Fourth, the learner was informed about the experiences of the events that occurred during the learning process, thus positively influencing the learning effect through reflection. Finally, an analysis of the effectiveness of the teaching and learning community revealed that the tendency toward continued participation was the highest. This is because it became an opportunity to overcome the experience of learning difficulties faced in the learning process based on the instruction of the professor.
PENGARUH VARIASI WAKTU TERHADAP KEMAMPUAN JANTUNG PISANG (Musa spp) SEBAGAI ADSORBEN LIMBAH ZAT WARNA

The banana inflorescence is one part of a banana plant that is widely used for various purposes of human life. The banana inflorescence of a banana has a high fiber content, one type of fiber is cellulose. Cellulose is found in many natural materials, especially plants, so that cellulose adsorbent has the potential to absorb dyes. The purpose of this study was to find out what effective time the adsorbent needed to absorb the dye, to determine the content of heavy metals cr and cu and the banana inflorescence can be used as an adsorbent. This study used the adsorption-fluidization method, in order to determine the effective time of the adsorbent with dyestuff waste Uv-Vis spectrophotometer was used. The effective time obtained in red and blue dyestuffs is at 45 minutes, on yellow wastes which are 75 minutes and black wastes at 60 minutes. In the Cr test the red dye wastes decrease 61.25% and waste substances blue color is 32.42%. While for the Cu test for red and blue dyestuffs after the addition of the adsorbent the results were <0.0223.
A Novel Chaotic Time Hopping TH-NRDCSK System for Anti-jamming Communications

We propose a novel TH-NRDCSK system to enjoy the advantages of both TH and chaotic systems for AJ communication purpose and alleviate the strict synchronization issue of TH systems. We then simulate the performance of the proposed system to reveal the effects of the system parameters on AJ performance. In addition, the performance of the proposed system is compared to that of the TH-BPSK system to look at the advantages of non-coherent system. The simulation results show that the proposed system significantly outperforms conventional counterparts in a practical environment.
ADAPTIVE TECHNOLOGY DEVELOPMENT ALGORITHM: 10.24250/JPE/2/2019/HY/OY

The article, based on the analysis and generalization of the experience of using pedagogical in the educational process, presents the technology development algorithm, which allows managing and structuring the process of training students in a higher educational establishment in constantly changing internal and external environment. It is argued that the process of technologization in higher education is purposeful, structured and algorithmic, takes place on the basis of joint interaction between the subjects of education, has its elements, specific features, criteria and structure. Eventually, adaptability becomes the dominant characteristic of the teacher's activity, means the transition to a qualitatively new level of knowledge-intensity and optimality, as well as shapes the style of modern scientific and practical thinking. At the same time it makes it possible to increase the mastering of training material by students and to switch the teacher's attention to the individual development and creative thinking of students. Adaptability in education and approach is given special priority in the article. It is emphasized that the basis of the approach are provisions of the concept of directed self-organization, which contributes to the achievement in a changing environment of a predetermined intended goal. It is defined that adaptability involves aligning the goals and results of the educational process with market demand and personal goals of the individual with the requirements of society. The concept of adaptive technologies has been considered, as well as the approaches on which are based have been presented: systemic, synergetic, active, humanistic, personality-oriented, differentiated, and adaptive. The result of the research is the structure of technology proposed by the author, which has been developed on the basis of known pedagogical and includes conceptual, content, procedural-adaptive and resulting components. The technology development algorithm has been defined, which allows maximizing the mechanism of directing the joint activity of students and the teacher towards the achievement of a feasible target, increasing the extent of freedom between the subjects of the educational process, mobilizing them for the desired result.
The effect of the Four Corners Vocabulary Chart activities with different task-induced involvement on the vocabulary acquisition of elementary English.

This study aimed to investigate the effects of the Four Corners Vocabulary Chart activities with different task-induced involvement on the vocabulary acquisition of elementary English. The Four Corners Vocabulary Chart is a personal dictionary which has the target word written on the front, with four different things on the back. Sixty six learners of forth grade-level were divided into three groups, two experimental groups and one controlled group. The experimental groups learned vocabulary using the Four Corners Vocabulary Chart activities with different task-induced involvement, while the controlled group learned vocabulary implicitly using text books. The data included vocabulary knowledge tests, surveys and interviews. The data were analyzed quantitatively and qualitatively. Here are the results of the data analysis: (1) The Four Corners Vocabulary Chart activities had effect on the vocabulary acquisition of elementary English; (2) The activities with high task-induced involvement were more effective in the acquisition of the productive vocabulary knowledge; (3) The experimental groups showed better interest and confidence on vocabulary learning; (4) Learners with high and middle level showed statistically meaningful improvement in the aspect of vocabulary knowledge. In addition, learners’ affective responses were different depending on their ability levels. This study provides teachers with important implications regarding the effective vocabulary learning method in EFL context.
When Do Introspection Axioms Matter for Multi-Agent Epistemic Reasoning?

The early literature on epistemic logic in philosophy focused on reasoning about the knowledge or belief of a single agent, especially on controversies about such as the 4 and 5 axioms. By contrast, the later literature on epistemic logic in computer science and game theory has focused on multi-agent epistemic reasoning, with the single-agent 4 and 5 axioms largely taken for granted. In the relevant multi-agent scenarios, it is often important to reason about what agent A believes about what agent B believes about what agent A believes; but it is rarely important to reason just about what agent A believes about what agent A believes. This raises the question of the extent to which single-agent introspection axioms actually matter for multi-agent epistemic reasoning. In this paper, we formalize and answer this question. To formalize the question, we first define a set of multi-agent formulas that we call agent-alternating formulas, including formulas like Box_a Box_b Box_a p but not formulas like Box_a Box_a p. We then prove, for the case of belief, that if one starts with multi-agent K or KD, then adding both the 4 and 5 axioms (or adding the B axiom) does not allow the derivation of any new agent-alternating formulas -- in this sense, introspection axioms do not matter. By contrast, we show that such conservativity results fail for knowledge and multi-agent KT, though they hold with respect to a smaller class of agent-nonrepeating formulas.
A Comparative Performance Study of Reinforcement Learning Algorithms for a Continuous Space Problem

Deep learning algorithms have made significant progress in recent years due to the power of deep neural networks, beyond human performance levels. Unfortunately, there are many challenges that require a large number of interactions with the environment to learn and generalize hidden states. This paper presents a performance comparison between different solutions to the Mountain Car problem using the Q-Learning, Deep Q-Learning and Deep Q-Networks algorithms. The Mountain Car model is a simple but intriguing problem since the agent must learn to take initial actions that seem to prevent it from reaching the goal, but are nevertheless mandatory for solving the problem. The results show that a neural network implementation with experience replay is the most effective method for this task.
Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks

Real-world anomaly detection for time series is still a challenging task. This is especially true for periodic or quasi-periodic time series since automated approaches have to learn long-term correlations before they are able to detect anomalies. Electrocardiography (ECG) time series, a prominent real-world example of quasi-periodic signals, are investigated in this work. Anomaly detection algorithms often have the additional goal to identify anomalies in an unsupervised manner. In this paper we present an unsupervised time series anomaly detection algorithm. It learns with recurrent Long Short-Term Memory (LSTM) networks to predict the normal time series behavior. The prediction error on several prediction horizons is used to build a statistical model of normal behavior. We propose new methods that are essential for a successful model-building process and for a high signal-to-noise-ratio. We apply our method to the well-known MIT-BIH ECG data set and present first results. We obtain a good recall of anomalies while having a very low false alarm rate (FPR) in a fully unsupervised procedure. We compare also with other anomaly detectors (NuPic, ADVec) from the state-of-the-art.
Automated 3D labelling of fibroblasts in SEM-imaged placenta using deep learning

Analysis of fibroblasts within placenta is necessary for research into placental growth-factors, which are linked to lifelong health and chronic disease risk. 2D analysis of fibroblasts can be challenging due to the variation and complexity of their structure. 3D imaging can provide important visualisation, but the images produced are extremely labour-intensive to construct because of the extensive manual processing required. Deep learning can be used to automate the labelling process for faster 3D analysis. Here, a deep neural network was trained to label a fibroblast from serial block face scanning electron microscopy (SBFSEM) placental imaging.
The Effectiveness of using Kim’s memory game for enhancing students vocabulary (An Experimental Research at the first grade of SMPN 1 Cijaku – Lebak)

Ina Fitriyani. 142301708. 2018. “The Effectiveness of using Kim’s memory game for enhancing students vocabulary (An Experimental Research at the first grade of SMPN 1 Cijaku – Lebak),” Undergraduate Research Paper, English Education Department Faculty of Education and Teacher Training, The Islamic University of Sultan Maulana Hasanudin Banten. Advisers: Dr. Yayu Heryatun, M.Pd. and Emeliya Sukma Dara Damanik, M.Hum.Vocabulary is one of the important language elements in learning English and also the vocabulary is taught in learning English before study to another language elements. Teaching vocabularies using the right strategies is important in order to help the students learn the target words. There are various ways to using each vocabulary, such as translation, giving definitions, and memorizing the words. In teaching vocabularies some of students forgot easily in memorizing words, and cannot achieve well in the vocabulary test. Based on the problem above, the researcher want to research the students in SMPN 1 Cijaku, the study entitled “The Effectiveness of using Kim’s memory game for enhancing students vocabulary” (An Experimental Research at the first grade of SMPN 1 Cijaku – Lebak).The research is concluded based on the problems of: 1) How is the applying kim’s memory game to develop students’ vocabulary ? 2) Is using this game able to improve students vocabulary effective ? And the purpose of the research are: 1) Can help students in developing their vocabulary skill. 2) To understand the effectiveness of the game for students. By applying quasi experiment research method, the researcher collected data from 50 students spread in two classes, one as experiment class and another as a control class. The data were collected through pre-test and post-test.The result of this research shows that the hypothesis, the null hypothesis is rejected its showed from statistical value that significant 5%=1.67 and significant 1%=2.40 and the result of to=8,62 , based on calculation the data of t-test that effective of using kim’s memory game in teaching vocabularies has positive effect.Finally, it is suggested that English teacher should have appropriate method in teaching English and be more motivated in order to make teaching and learning process by using some strategies that can make students more enjoyable in their learning.
The Impact of social infrastructures on economic growth of Sub-Saharan Africa: implications for sustainable economic growth

Background: Economic growth in sub-Saharan Africa has consistently remained the least when compared to any other region in the world. Countries in the region have received a lot of grants in form of aids to boost their capital accumulation; yet there is slow growth in most parts of the region. Many countries have implemented the World Bank and IMF suggested policies; and majority of the countries have adopted democratic political system. Yet growth in the region has remained very low. It then becomes pertinent to identify the causes of the low economic growth pattern in sub-Saharan Africa (SSA). The objective of this study, therefore, is to determine the impact of social infrastructure on economic growth of sub-Saharan Africa.Data and methods: The data for this study were 2001-2017 time-series data sourced from World Governance Indicators (WGI) and World Development Indicators (WDI). The standard panel data of fixed effect (FE) and random effect (RE) were employed in the analysis of the data, while Hausman test results guided the final choice of fixed effect estimation.Findings: The results show that corruption is statistically and significantly affecting economic growth of sub-Saharan African (SSA) countries. This means that control of corruption will help boost the economies in the region as low corruption is a prerequisite for economic recovery and sustainable development. Besides, trade openness, labour supply, and general government consumption significantly affect economic growth in SSA.Conclusion: SSA countries should control corruption as well as open their economies so as to reap the positive effects of economy of scale derived from diversification.
Method Based on Deep Learning for Concave-Convex Font Identification

Compared with the bank card number of the flat font, the bank card number of the concave-convex font is not easily distinguishable from the background. The paper builds on the CTPN text area location, and uses the end-to-end identification network-CRNN to identify the concave-convex font. When training the data set, it is preprocessed by the convolution network to generate the corresponding feature model. When identifying, the test picture is processed by the same convolutional network as in the training, and the extracted picture features are compared with the picture features that generated during training, then the highest similarity is determined as the recognized number. The card number recognition accuracy of the concave-convex font can reach 92.33% when the card number is positioned accurately.
Pembelajaran Berbasis Masalah Untuk Meningkatkan Hasil Belajar IPS Pada Siswa SDI Onekore 4

The purpose of this research is to know the application of Problems Based Learning Strategy that can improve learning outcomes of Social studies on Class. IV Students at SDI. Onekore 4. This type of research is a classroom action research. The research subjects are Class IV student at SDI Onekore 4 that amount of 19 people. As for this research data is obtained by using test, Observation and documentation. The results of this study indicate an increase of learning outcomes on social subject after applied problem based learning strategies. This matter can seeing at increasing of presentation classical learning outcomes. in condition pracycles 21.05%, cycles I up to be 42.10% and on cycle II goes up to be 100%. The results of this study can be used as an alternative in the selection of learning strategies.
An Exploratory Study of Foreign Students’ Ethical Awareness through Dilemma Discussion

본 연구는 외국인 유학생들을 대상으로 한 인성교육의 기초 연구로 가치관이 충돌하는 갈등상황을 제시하는 딜레마 토론을 활용하여 현재 이들이 가지고 있는 가치관과 신념, 윤리 의식을 살펴보고자 한다. 이를 위해 실제 학부 교양 수업에 딜레마 토론 적용하여 딜레마 토론 과정에서 수집한 자료들과 수업관찰, 설문지, 심층면담 자료를 분석함으로써 이들의 윤리의식을 탐색해보고자 한다. 딜레마 토론과정에서 학생들은 가치 갈등 상황 경험하게 되고, 자신의 기존 가치관들에 대해 재인식하며 가치판단에 있어 개인적 차원에서의 판단이 사회적 차원으로 확대되는 것을 확인할 수 있었다. 또한 올바른 가치관 확립의 필요성과 중요성을 인지하였으며 딜레마 토론은 이러한 계기를 줄 수 있는 중요한 역할을 함을 본 연구를 통해 알 수 있었다. 이뿐만 아니라 학생들은 다른 사람들의 생각을 존중하고 다양성을 인정하며 사고의 폭을 넓히는 토론의 효과와 동시에 한국어 능력도 향상됨도 확인할 수 있었다. 본 연구는 7주간의 짧은 기간과 제한된 연구대상으로 인해, 본 연구 결과가 유학생들의 윤리의식을 대표하기에는 다소 무리가 있다. 그러나 딜레마 토론 과정에서 나타난 현재 유학생들의 윤리 의식을 구체적으로 탐색해 보았다는 점과 동시에 학생들이 딜레마 토론을 통해 가치관의 갈등 상황을 경험함으로써 기존에 자신이 가지고 있던 가치관에 대해 새로운 관점에서 생각해 볼 수 있는 기회를 제공했다는 점에서 본 연구의 의의가 있다.This study examines current values, beliefs, and ethical awareness using discussions of dilemmas that present situations of conflicting values as basic research in character education for foreign students. To this end, this study aims to explore ethical awareness by analyzing the data collected from dilemma discussion processes, participation observation, students’ opinion writing, reflective learning journals, questionnaires, and in-depth interview data. The results indicated many changes in the students who were exposed to values conflict through discussion and were able to rerecognize their values. Furthermore, when students made value judgements in a given situation, it was found that the standards of judgement expanded from a personal level to a social level. Students were also aware of the need for and importance of establishing the right values, and dilemma discussion played an important role in initiating such triggers. Moreover, this study was able to determine the effects of discussion on students, including respecting other people’s ideas, recognizing diversity, and broadening the scope of their thinking. Last, foreign students Korean language skills improved. As this study was conducted over only seven weeks with a limited number of students, it has some limitations. For example, it cannot clearly indicate their personalities. Instead, this study examined the ethical awareness of current international students through dilemma discussion. Furthermore, the discussion offers students a new perspective on values by making them experience value conflicts.
Research on Semantic Aggregation of Shipping Digital Resources Based on Linked Data

With the advent of the era of big data, governments of all countries have successively proposed their own big data development strategies. “Open government data” is one of the important measures. In the Open Data Charter jointly signed by the G8 in 2013, “Transportation” was listed as one of the 14 high-value open fields, and marine, as the largest cargo carrier in the transport sector, has advantages over air and land transport, becoming the focus of open government data around the world. At present, China's maritime open data has problems such as low openness, heterogeneous multi-sources, and data fragmentation. In order to further enhance the openness of maritime data, explore its potential value, and promote its effective use, this paper attempts to use the relevant technologies of semantic web to build maritime linked open data and establish its semantic aggregation application of data resources. The research work in this paper provides a practical and feasible method for the government to further promote the opening of maritime data. It also provides reference for the open data practice in other fields.