Reviewerly/exHarmony huggingface dataset:
Airport Detection-Based Cosaliency on Remote Sensing Images

This paper proposes a contour extraction model based on cosaliency detection for remote sensing image airport detection and improves the traditional line segmentation detection (LSD) algorithm to make it more suitable for the goal of this paper. Our model consists of two parts, a cosaliency detection module and a contour extraction module. In the first part, the cosaliency detection module mainly uses the network framework of Visual Geometry Group-19 (VGG-19) to obtain the result maps of the interimage comparison and the intraimage consistency, and then the two result maps are multiplied pixel by pixel to obtain the cosaliency mask. In the second part, the contour extraction module uses superpixel segmentation and parallel line segment detection (PLSD) to refine the airport contour and runway information to obtain the preprocessed result map, and then we merge the result of cosaliency detection with the preprocessed result to obtain the final airport contour. We compared the model proposed in this article with four commonly used methods. The experimental results show that the accuracy of the model is 15% higher than that of the target detection result based on the saliency model, and the accuracy of the active contour model based on the saliency analysis is improved by 1%. This shows that the model proposed in this paper can extract a contour that closely matches the actual target.
SISTEM INFORMASI KULINER KOTA BATAM BERBASIS SMARTPHONE ANDROID DENGAN IONIC FRAMEWORK

Along with the today development of information system, the growth of smartphone users, especially using Android OS had exploded exponentially, including in Batam City. And there are also a field of business that grow in the city, culinary, and this culinary sites turn up everywhere across the city, especially Malay and Nusantara food type. And there is a huge gap between the information and the existence of the culinary sites and the available online information. This gave an idea to the writer to develop an application of the information about the culinary sites in Batam. This application is made for Android Smartphone users using ionic framework. Early design and implementation was started with analyzing and planning the future culinary apps so the writer can get the requested system. On the progress, Flow Chart, Use Case, Class Diagram, Entity Relationship Diagram and Table of Database will represent all data in the system logically. And upon the development, the writer uses PHP and MySQL Database program language. And the test result shows that the apps run smoothly and it runs all the features within the Android apps.
A Report on the Second International Workshop on Software Engineering for Artificial Intelligence (SE4AI 2021)

Computers control increasing numbers of objects in our daily life: phones, aircraft, cars, buildings, manufacturing machines, musical instruments, etc. In these so-called cyber-physical systems (CPSs), computers interact directly with the physical world through sensors and actuators. Those systems are becoming the key infrastructure and backbone of our society and are at the heart of revolutionary changes in our daily lives and economy. The sophistication and complexity of CPSs keep increasing since they must realize more functions with limited resources, which makes them increasingly difficult to build and manage. In particular, the cyber (software) part of these systems is growing rapidly and has become a key part of CPS, as they are the basis of operation for these systems. Artificial intelligence (AI) has a fundamental influence on the economy, administration, and society. AI is now also affecting software engineering, providing robust approaches for software development to analyze and evaluate complex software and its development processes. Repository mining, machine learning, big data analytics, and software visualization enable targeted insights and powerful predictions for software quality, software development, and software project management. The research community has shown a keen interest in this emerging field. This report presents a summary of the workshop held on February 2021 at KIT Bhubaneswar, co-located with the 14th Innovations in Software Engineering Conference (ISEC 2021).
Fundamentals of Information Processing on an Analog Reservoir Computer

Master’s Thesis, Centre for Postgraduate Studies, University of the Balearic Islands, Academic Year 2019-20.
Enhanced video analysis framework for action detection using deep learning

Video Analytics analyzes the video content and adds brains to the eyes which means analytics to the camera. It extracts contents from the video by monitoring the video in real-time. Normal and Abnormal human activity detection using deep learning models is a challenging task in computer vision. The detection of the same will help in detecting crime scenes which will help in preventing treacherous actions Proposed method focuses on classifying normal activities for humans in real-time scenarios. The pre-processing technique for redundant frame detection, elimination, and training the model e?ciently using Convolutional Neural Network for classifying the activities is the main research contribution. The proposed method shows improvement in accuracy as compared to the reference method which can be further implemented for on edge embedded platforms for real-time applications
포스트 코로나 시대 실시간 비대면 취미 한국무용 교육 참여에 대한 사례 연구 : 골든캣츠 한국무용 교육 기업을 대상으로

The purpose of this study is to analyze cases of participation in real-time contactless traditional Korean dance education as a hobby in the “post-COVID-19 era.” To this end, a real-time contactless Korean dance education program was designed and implemented. A survey was then conducted on six participants in the program. The results of the data analysis can be outlined as follows. In the post-COVID-19 era, the participants demonstrated a high degree of satisfaction with, as well as a high-level perception of, real-time contactless Korean dance classes as a hobby. However, further efforts are needed to expand this education , including advanced preparations for the overall class environment and thorough provision of teaching materials.
APPARATUS’ ATTITUDE AND BEHAIOR, UNQUALIFIED OPINION (OPINI WAJAR TANPA PENGECUALIAN/ WTP), IN EAST KALIMANTAN INDONESIA

Social networking media has been the major source of communication between individuals in the world over,hence, the label cyber-world. This includes Facebook, Twitter, MySpace, Instagram, Flicker, Frienster, Blogs, Podcast,Youtube, Tumblr and Skype, among others. Users of these forms of media made use of such technology gadgets as cellphones, tablets, laptops, desktop computers, and e-readers. Researchers all over the world have varied findings on theeffects of these forms of media on the academic performance of students. Those students who used the media wisely, theiracademic performance improved. However, those who failed to regulate their use of these social networking toolsnegatively affected their studies which oftentimes led to their addicted use. In general, the study found out that the exposureof the IMEAS students to the social networking media positively affected their academic performance. Hence, theUniversity must implement policies and projects designed for more easy access of the students to the Facebook network sitein the school campus. In contrast, there is also this very disturbing finding of the study which disclosed that the students ofIMEAS, University of Southern Mindanao, Kabacan, Cotabato used the social networking media almost daily sincemajority of them answered to have used said form of media 5-6 days a week at an average of about 1-2 hours every session.With this data, it is recommended that the USM must regulate the proper time usage by the students of social networkingmedia in the campus in order not to destruct with their classroom activities
Some Novelties in Classification and Analysis of Facebook data – A Decision Tree based Approach

As of 2020 statistics, Facebook is the huge social media platform universally having 2.6 billion monthly active users all over and generates data in petabytes every day. Hence Knowledge Discovery from such a huge data is very essential. At present days, Knowledge Discovery is a significant research area. To get the ultimate answers for many research questions in data mining, the final hope is knowledge that can be achieved from different forms of data. If the data has known associations or the data is labelled, supervised approach i.e., Classification method can be used. To accomplish this task, we propose a novel approach to classify the Facebook data at most accuracy.
AN ANALYSIS OF STUDENTS’ SPEAKING ANXIETY IN STORYTELLING(A Case Study Research at the Tenth Grade of MA Kulni Cikande

Syifa Fadilatul Azizah. 152301901. 2019. “An Analysis Students’ Speaking Anxiety in Storytelling” (A Descriptive Reseach At in Academic Year 2019/2020).This research in conducted to investigate an analysis students’ speaking anxiety in storytelling at MA Kulni Cikande. The reseach is conducted based on some problems: 1) To what extent mostly are students anxiety in storytelling of students at 10th grade MA Kulni Cikande? 2) What are the levels anxiety at 10th grade MA Kulni Cikande? 3) What are the causes of students anxiety in storytelling at 10th grade MA Kulni Cikande?. The researcher collected data from 30 students. The data were collected using FLCAS (Foreign Language Anxiety Scale) questionnaire. The result was analyzed using FLCAS procedure and then researcher presented the data description in percentage, chart and table. The result showed that from ninety students in the first grade, most of them (58%) had medium level of anxiety in speaking. These students tend to have indecisive perceptions regarding their feelings when they are asked to express their opinions regarding communicating in English meetings. Another findings result indicated that 40% of the learners experienced low anxiety and only 2% experienced high anxiety. Based on these findings, it can be concluded that the practice of speaking English as Foreign Language in the class could make a lot of foreign language students felt nervous and tense so that they could not do their best in speaking class. Anxiety could affect students’ speaking performance and achievements in the class negatively. It is important for the teacher to provide their learners some ways to cope with their anxiety and make the students more comfortable in learning process.
Ellora. Cave 14.

On the south wall of this cave Siva, dancing the Tandava, is carved. He stands on a sort of pedestal. The skeleton hides behind his right leg while attendants play on the tambourine and fife. Parvati stands on his left, accompanied by two dwarfs. In the top corners other gods are watching the dance: Indra and his elephant, Agni on his ram, Brahma and Visnu. The general mood is elevated and dynamic as becomes such a dance. The pilasters on either side are decorated with the same figures as those on the opposite wall.
예브레이노프의 ‘일상 속의 연극성’과 동시대 관객 주도형 퍼포먼스 - 포트 B의 을 중심으로

Now that the prolonged Corona virus has made it physically difficult to get to the theater, the question of how to meet the theater is becoming important these days. In this situation, this paper attempts to shed light on Nikolai Evreinov’s theatrical theory, that he wanted to find the meaning of the theater in daily life, not on the stage. The most important point of the various theatrical theories that Ereinov unfolded a century ago is that he brought the theater to our lives, daily lives, not to the stage.Focusimg on Evreinov’s theatrical theory, who sought to find the theater in personal life and daily life, this paper introduced the concepts of ‘theatricality in everyday life’ and ‘theater for oneself’ among his theatrical theories. In addition, in order to understand how these theories can be implemented in concrete and practical terms, I analyzed them in conjunction with the examples of contemporary audience dominant performances.The contemporary performance targeted for this research is Project Group Port B's . The performance is in line with Evreinov’s concept of ‘theatricality in daily life’ in that it creates theatrical moments in normal daily life by using the most ordinary space as the stage, not a specific space. In addition, there is also a connection with Evreinov’s concept of ‘theater for oneself’ in that the audience participates in the performance as an individual rather than a part of the collective crowd, and completes the performance with their own choices and wills.Meanwhile, aims to escape from the harsh reality through deviations from everyday life. In other words, this performance suggested the theater as a moment and space to evacuate from life. This can also be seen as a connection with Evreinov’s theatrical theory, who believed that ‘making a life theatrical’ is the only way to save ourselves from cruel life and reality.
서도잡가 ‘배따라기’ 가사의 텍스트언어학적 분석 -결속구조와 결속성을 중심으로-

This study is about the text of lyrics in the Seodojabga of Korean traditional music genre called Oral literature. Analyzing the text of the lyrics that form the backbone of the song and grasping its meaning will reveal the core of communication and present an important methodology for the expression of the musical background necessary to convey the meaning of the song.Accordingly, this study uncovers the textuality revealed in lyrics through textlinguistic analysis, focusing on coherence and cohesion that appear in the lyrics of the ''Baettaragi'' of the Seodojabga artist who sang the joys and sorrows of the boatman''s life among the traditional sounds of Pyeongan-do and Hwanghae-do. We tried to grasp in depth the functions of textuality other than musicality. As a result of this, it was first confirmed that the devices for the cohesion of the Text were very tightly connected, and in particular, the prominence of the parallel structure and the repeating ending was revealed. Also, as a result of analyzing the cohesion, it was confirmed that the vocabulary that expresses the contents are structurally described around nouns, adjectives, and verbs, and that they are connected to isotopy such as ''ship'', ''voyage'', etc. of the entire contents, and it was connected by the Structure of Theme-Rheme of Prager School. Thus, it was possible to grasp the possibility of the reconsideration of textuality of oral literature. and it was found that the functions and features of the cohesion and coherence were systematized. Furthermore, it was found that the cohesion and coherence were very elaborately structured in terms of the content of Korean oral literature.
Online dense activity detection

Dense activity detection is a subtask of activity detection that aims to localise and identify multiple human activities in video clips. Existing methods adopt offline frameworks that require video frames to be available when activity detection begins. These offline methods are unable to be applied to online scenarios. An online framework is proposed for dense activity detection. The framework has two stages: warm-up and detection. Warm-up is the initialisation of dense activity detection, which generates a contextual model called an online aggregated-event. After that, the method moves into the detection stage, which consists of two modules: coarse label prediction and refined label prediction. Coarse label prediction predicts activity labels by taking the online aggregated-event as a priori; then, prediction is refined by two techniques, human–object interaction detection and online relation reasoning. The proposed method is evaluated using two dense activity datasets: Charades and AVA. The experimental results show that the proposed method has better performance than existing offline methods after the whole video input is added to the algorithm.
Leadership Responsibilities in Information Security Awareness Development

This paper aims to introduce the main aspects arising in the organisational context related to leadership roles when information security awareness is being engineered and developed according to purposes set within. Achieving these development purposes is connected to the commanding function of leadership, while being influenced by key human risk factors such as: leadership commitment and example setting, leadership quality, the state of being motivated and above all, the ability of responsible decision- making on a professional basis. In order to improve the effectiveness of putting the implementation into practice, a methodological toolset needs to be elaborated for the disposal of the leader, thanks to which, besides taking on a transactional leadership style and a cyclic program management, the continuous monitoring and tailoring to the organisation of the development purposes all become facilitated.
Self-Orthogonal and Complimentary-Dual Cyclic and Negacyclic Codes of Length

In this paper, we assume that 𝔽𝑞 is the finite field of order 𝑞, where 𝑞 is a power of the prime 𝑝, and 𝑝,ℓ are distinct odd primes, and 𝑚,𝑛 are positive integers. We determine generator polynomials of all self-orthogonal and complimentary-dual cyclic and negacyclic codes of length 4ℓ𝑚𝑝𝑛 over the finite field 𝔽𝑞.
THE CORRELATION OF LOW INTEREST ON LEARNING PROCESS WITH CLASS AVERAGE GRADES OF PUBLIC HEALTH STUDENTS FROM THE 2014-2017 GENERATIONS: (Korelasi Rendah Minat dalam Proses Belajar dengan Kelas Rata-rata Mahasiswa Kesehatan Masyarakat)

This paper presents the Correlation of Low Interest on Learning Process with Grade Averages of Public Health students from the 2014—2017 generations. In fact, many students have low interest of their study. And it will be influenced of the grade averages.  This research method uses an analysis. To achieve the credibility of data for this research, the researcher uses the data of Abstract Translation from nursing students on their mini thesis / skripsi. Finally, through this paper we can prove that we can find many common mistakes of writing Abstract Translation on Nursing students at Moluccas Christian University of Indonesia. Shortly, we can conclude that the nursing students of UKIM choose to translate Abstract Translation by Google Translate, and finally we need an expert to check all the common mistakes of writing Abstract translation.
어플리케이션 기반 생물 관찰 기록 학습이 초등학생들의 과학 관련 태도에 미치는 영향

This study analyzed the effects of ‘app-based learning of observing and recording living things’ on elementary school students’ science-related attitudes. Samples of the study were composed of 24 sixth-grade students attending the science club of N elementary school in Seoul, Korea. The learning was conducted for 12 times over 7 months. ‘TOSRA(Test of science-related attitude)’ was used to quantitatively analyze the science-related attitudes of elementary school students. To find out more detailed characteristics, records of interview were also gathered and analyzed. The main results of this study are as follows. First, for the paired t-test of science-related attitudes, a statistically significant difference between the pre and post was found. As results of the interview, it was revealed that ‘experiences of outdoor activities’ greatly influenced the increase of science-related attitudes of the students. Second, in ANCOVA, according to ‘gender’ there was no statistically significant difference in score of science-related attitudes. But, there was statistically significant difference in science-related attitudes according to ‘preferred science subjects’ and ‘whether individual interest has occurred about observing and recording living’. Based on the results of this study, implications for research of elementary biology education are discussed.
Summarizing Animal Video using Pre-trained Alexnet and Deep Learning

Convolutional Neural Networks (CNN) has played a vital role and has brought a revolution in the field of Image Processing. CNN is one of the most powerful models for image and video recognition issues. CNN uses Deep Learning algorithms and has provided optimal performance in image and its actions recognition and classification. But it has faced many challenges in the field of video classification and recognition. Today, there is an incredible growth in online videos, its thumbnails and it is very much important to have same visualization form of the video contents so that it can help the users to browse and search the videos easily. The objective of video summarization is to describe the complete video in the form of short story. In this paper, it describes the use a pre-trained network known as Alexnet that tries to identify various animals on the basis of large datasets of animals. The paper tries to prove that the proposed work identifies various animals from the inputted video with an accuracy varying between 85% to 99%. In general, the work will summarize a video by identifying and describing different animals in the video.
The Usage of Group Chatting Platform for English Skills

In this pandemic, many people will stay at their home rather than go outside, thus making it hard to live regular daily life for many people, including for people who are learning language. The purpose of this analysis is to find another way of learning English by using a group chat platform. The method that we will use is by joining a group chat server on one group chatting platform called “Discord”. The result of this analysis shows that joining a discord server you can talk with people from all around the world, study the use of grammar, test conversation skills, and measure English language understanding. From that result we can say that joining a discord server is another way of learning English without having to go outside and actually try your skill with a native speaker. In conclusion using discord is a good way to learn English in the pandemic era.
Wolfgram Subject Guides: Wolfgram eBook Collections: Fantasy

This guide features eBooks in the Wolfgram Memorial Library collection that are available using your Widener University proxy login. Collections are subject to change, please let the librarians know if any of the links are not working.
Efficient Manifold Learning with Diffusion Maps

Kernel-based approximations of the Laplace-Beltrami operator, such as Diffusion Maps, can be employed to construct meaningful, low-dimensional representations of data sets by embedding them into the first few eigenfunctions of the operator. In this approach, it is common to use the entire data set simultaneously to form the kernel matrix. This is demanding with respect to computer memory and computation time if the number of data points is very large and the ambient space dimension is very high---to the point where it becomes prohibitive to employ kernel methods entirely.\par We discuss a technique to alleviate this challenge and make kernel-based approaches for manifold learning applicable to large data sets. We employ a Multi-Level Monte Carlo approach to obtain a numerical estimate of the number of randomly chosen points necessary to accurately estimate the operator. We show convergence of the algorithm in several controlled environments, and demonstrate that manifold learning with the estimate is faster than training an auto-encoder network on a real data set.