Reviewerly/exHarmony huggingface dataset:
OBSTACLES IN TEACHING READING MARITIME ENGLISH AT THIRD SEMESTER STUDENTS OF MALAHAYATI MERCHANT MARINE COLLEGE ACEH BESAR

Abstract Name: Ridhayani Student no: 1609200080032 Study Program: English Education Title: Obstacles in Teaching Reading of Maritime English at Third Semester Students of Malahayati Merchant Marine College, Aceh Besar) Key words: Obstacles, Reading, Maritime English Teaching and learning English at Malahayati Merchant Marine College is different from other regular institutions. It is because of time allocation provided for teaching Maritime English is excessively, along with the additional time for practicing the General English in order to increase the students’ performance in maritime field, still the students could not pass KKM set at 70. However in teaching and learning process, it was consider as problem or hinder the teacher to achieve the effective and efficient in teaching learning process. The objective of this research was to reveal the obstacles faced by the English teachers in teaching reading of Maritime English and how they overcome the problems. This study employed a qualitative design. The subject of this study were two English teachers who taught third semester students of Malahayati Merchant Marine College, and the object of the study was the obstacles they found while conducting the teaching and learning process. The data were collected through direct observation and interview. The data were analysed by using qualitative design. The data analysis was done through classification, reduction, display, and conclusion drawing. The results of the study showed that the teachers encounter some obstacles in teaching reading of maritime English: first, the different level of students’ capability in class; second, the students’ unreadiness in teaching and learning process; third, the students’ low motivation in reading of maritime English; fourth, the facility and infrastructures in class. Then the study also to find out some actions took by the English teachers to overcome the obstacles as it was revealed in the discussion of this study. Regarding to the result of this study, it is suggested to all of the staff of the institution to work together and fully support the teaching and learning of Maritime English as we realized the importance of English for seafarers’ career in the international shipping industry.
A feature­based approach to fractal image compression

Recently a number of researches have demonstrated performance improvement in the video fractal compression compared to the current video transmission standards (MPEG, H.263, H.264). This article describes a current problem of relatively low fractal encoding speed. Indeed, high computational complexity is a sore point of fractal compression approach. It seems almost every paper on this subject touches the problem of encoding speed. Productive ideas and algorithms can be borrowed from the pattern recognition problem. In the course of recent decades feature points approach in computer vision has been demonstrating good performance in SLAM and pattern recognition. Technology of feature detection, description and tracking is being developed successfully and has effective applications in augmented reality like Android ARCore and IOS ARKit frameworks that are real-time engines. Similarities among parts of video frames are analyzed and used for both image registration and visual scene tracking therefore it fits highly to block matching task. Statistic properties for domain/range blocks matching has been analyzed on the basis of previous investigation for fractal compression. As a result, a simple algorithm is proposed based on computer vision approach. The approach includes a visual feature points extraction, feature descriptors calculation and fast NN-search in descriptor space. The key idea of the proposed approach is as follows. Only a limited number of domain blocks around the most salient points are subject to selection. Other blocks are not essential for matching as transforms would have big Lipschitz constant and will have worse contractive properties. Salient points should be unique as well. Further the descriptors for feature point are calculated. The algorithm has O(N log N) complexity for pixel number in the frame image, however if the number of domain blocks is limited the complexity could be almost linear. Python program for the algorithm test has been developed and shows that reconstruction result is acceptable in terms of encoding speed (&lt; 2 s on 2 GHz CPU) and quality (PSNR) ~25 dB. The result of the proposed approach could be interesting for further improvement both for image and video compression. Further steps for quality increasing are also described.
談話標識「え」の機能について

In this paper, I observed the use of the discourse marker ‘eh’ in the first face-to-face conversation and analyzed what functions it played in the context before and after. The following summarizes the functions of the discourse marker ‘eh’ in each utterance.(1) ‘eh’ in the ‘content confirmation’ utterance performed the function of temporarily stopping the progress of the other party’s talk. In addition, ‘eh’ in the utterance of ‘information request’ performed the function of inducing more detailed information, going back to the utterance in front of the other party.(2) ‘eh’ in the ‘topic proffer’ utterance was used as a signal to change the direction of the story or action from the current story flow.(3) ‘eh’ in the ‘evaluation’ or ‘disagreement’ utterance performed the function to show attitudes and feelings that the new information content deviated from existing knowledge.(4) ‘eh’ in the ‘response to question’ utterance indicates the other person’s question was unexpected and shows the resistance to the question.
Sentiment Analysis On A Text Data Using The Conditional Probability Based Algorithm

Call centers are service centers that act as a bridge between enterprise and customers. Importance is being given to customer satisfaction and also to performance of call center agents. However, few researches are being done by taking both the customers and the call center agents as the end users. A system performing aspect-based sentiment analysis is being designed and implemented. The proposed system incorporates audio to text conversion, sentiment analysis and a separate customer-login module. It is able to represent sentiments of customers regarding any particular aspect using joint bar graphs.
Performance Analysis of Different Architectures on Face Mask Detection

The paper focus on the Face Mask Detection by which we can differentiate people who are wearing mask and not wearing mask. Now a days due to covid19 everyone is instructed to wear mask. This Face Mask Detection Model we can detect people who are not wearing masks. The people who have Diabetic, Hyper tension (BP) and lung diseases are easily affected by the covid19 virus. This study, mainly focuses on how the Convolution Neural Network(CNN) model created,and use the model to identify whether the person is with or without mask.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN DRONE BERKAMERA BERBASIS WEB DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)

Nowadays, a decision support system for drone selection is needed to help commoners when choosing drone based on their needs. Decision support system for drone selection uses simple additive weighting (SAW) method to provide the best alternative based on the importance of several criteria such as camera resolution, video recording resolution, flight time, control distance, battery charging time, speed and price. Waterfall development method is used to make decision support system for drone selection. The purpose of this research is to make decision support system for drone selection with camera built-in by using simple additive weighting (SAW) method. Three experts and five users have done the feasibility test of decision support system for drone selection. Expert test result in percentage is 86% under “Very Good” category and user test result in percentage is 84.4% under “Very Good” category.
PENGEMBANGAN PERMAINAN EDUKATIF BALOK PADA ANAK USIA DINI DI TAMAN KANAK-KANAK KOTA PALOPO

Educational Games are an inseparable part of children’s learning in kindergarten. The availability of these games really supports the implementation of children’s learning effectively. Besides that, it also make children’s learning fun so that they can develop various potentials that are owned optimally. Interview, direct observation and questionnaires are used in this research. The subject of this research were children aged 5-6 years and one teacher. The instruments of this study were Teacher Activity Observation Sheet (LPAG), Learning Management Sheet (LPP), Teacher Response Questionnaire (ARG). This research used both qualitative and quantitative approached. Based on the results of the research it can be concluded that the effectiveness of this study can be seen from the validation of the validation results from the validator, who has validated guidelines, semester programs, weekly activity plans, daily activities plans, observation sheets for children's activities, results of teacher validation questionnaires teacher.
An Insight on Image Annotation Approaches and their Performances

Image Annotation (IA) followed by Image Retrieval (IR) plays a significant role in today’s computer vision world. As the manual IA is a tedious and time-consuming process, the automated IA became very predominant in the computer vision applications. IA deals with the assigning of meaningful labels to various objects in the image. The objective of this article is to represent the various IA approaches adopted in the last decade. Observation of the existing IA methods and their performances leads to identify the pitfalls the existing approaches. Few approaches used standard datasets and images downloaded from internet to evaluate the performance of the Image Annotation.
El caso sede México: Formación en Educación Física en e-entornos universitarios durante la contingencia de la COVID-19.

espanolEl objetivo de la presente investigacion fue describir los desafios enfrentados en cuanto al uso de Educacion Virtual durante la contingencia de la COVID-19, por 254 docentes Universitarios del area de Educacion Fisica (153 mujeres, 102 hombres) de cuatro Instituciones de Educacion Superior (IES) en Mexico, todos del area de Educacion Fisica (EF). Por medio de cuestionarios online, a traves de metodos: analitico – sintetico, teorico – deductivo y hermeneutico; y tecnicas cuantitativas y cualitativas, se recabo la informacion que permitio concluir que los docentes en este estudio: 1. No se consideran capacitados para utilizar eficientemente la educacion virtual; 2. Consideran que la educacion virtual, en EF, no ofrece los mismos beneficios que la presencial, 3. El aislamiento por la contingencia es el desafio personal mas preocupante y 4. Ensenar en un area practica (EF) mediante un entorno virtual, es el desafio profesional mas importante. El presente estudio aporta un acercamiento a las implicaciones de la implementacion de educacion virtual en un area eminentemente practica como EF y plantea cuestionamientos para investigaciones futuras. EnglishThe objective of this research was to describe the challenges faced in the use of Virtual Education during the COVID-19 contingency, by 254 university professors (153 women and 102 men) from four Higher Education Institutions (HEI) in Mexico, all from the area of Physical Education (PE). Analytic-synthetic, theoretical – deductive, and hermeneutic methods and quantitative and qualitative techniques through online questionnaires were used. The collected information led to the conclusion that teachers in this study: 1) Do not consider themselves capable of efficiently using virtual education; 2) Consider that virtual education, in PE, does not offer the same benefits as face-to-face education, 3) Contingency isolation is the most worrying personal challenge and 4) Teaching in a functional area (PE) through a virtual environment is the most crucial professional challenge. This study provides an approach to the implications of implementing virtual education in an eminently functional area such as EF and raises questions for future research. (English) [ABSTRACT FROM AUTHOR]
Pandemi Covid-19: Eefektivitas Pembelajaran dalam Jaringan

This study aimed to analyze the implementation effectiveness of the learning from home (BDR) process during the Covid-19 pandemic in grade V of MI Muhammadiyah Botoputih Tembarak. This research used mix method. The data collection technique used was a questionnaire given to the students once a month. The subjects of this study were the students of grade V at MI Muhammadiyah Botoputih Tembarak. Based on the results of research conducted by filling out questionnaires, in general, the implementation of learning from home (BDR) in the sixth-grade students of MI Muhammadiyah Botoputih Tembarak run quite effectively with a percentage of 60-79%. The results of the BDR learning implementation questionnaire which had bad effectiveness with the criteria of 48% were in the evaluation process. It is suggested in learning from home (BDR), teachers are required to be able to design learning activities from planning to evaluating in a simpler, more creative and effective way
Collective phenomena in deformation

In this work the collective phenomena in material deformation, here meaning the collective dynamics of crystal defects (dislocations) or cellulose fibers, are studied experimentally using various techniques, which include imaging techniques, such as laser speckle technique and Digital Image Correlation, and also Acoustic Emission monitoring. Due to the nature of these collective bursts, or avalanches, they can be modelled with mesoscopic models and here each of the experimental systems is compared to simulations based on one of these simple models. In Publication I the dynamics of Portevin–Le Chatelier (PLC) deformation bands are studied using statistical methods. The results are mapped to a model based on the well-known model of mean-field depinning, the Alessandro–Beatrice–Bertotti–Montorsi (ABBM) model. This shows that a PLC deformation band, consisting of a large number of dislocations, behaves essentially as a single excitation of a quasiparticle. In Publication II the creep deformation of a quasi-2D fibrous material, paper, was studied close to failure. The localization of strain in tertiary creep was observed, concomitantly with scalefree behavior, divergence, of associated quantities. A serial fiber bundle model qualitatively reproduces this behavior and this implies that the behavior is not due to correlated avalanche phenomena. In Publication III the compression of foam-formed fibrous materials is studied. It is compared with the predictions of a mean-field model of fiber buckling, which reproduces the observed phenomena up to a certain strain, at which a crossover to collective phenomena is observed. The exponents of the acoustic emission energy and waiting time distributions seem to belong to a novel universality class.; Tassa tyossa tutkitaan kollektiivisia ilmioita aineen muodonmuutoksissa, eli tassa tapauksessa hilavirheiden (dislokaatioiden) tai selluloosakuitujen kollektiivista dynamiikkaa. Kokeellisessa tutkimuksessa kaytetaan monia eri tekniikoita: kuvantamismenetelmia, kuten laserpilkkutekniikkaa ja digitaalista kuvakorrelaatiota, seka akustisen emission havaitsemista. Naiden kollektiivisten purskeiden, eli vyoryjen, luonteesta johtuen niita voidaan mallintaa mesoskooppisilla malleilla ja kutakin tyossa esiintyvaa kokeellista systeemia verrataankin simulaatioihin, jotka hyodyntavat jotain naista yksinkertaisista malleista. Julkaisussa I tutkitaan Portevinin–Le Chatelierin (PLC) ilmioon liittyvien venymanauhojen dynamiikkaa tilastollisin menetelmin. Tulokset tulkitaan tunnettuun keskeiskenttamalliin, Alessandron–Beatricen–Bertottin–Montorsin (ABBM) malliin, perustuvan mallin avulla. Tama kertoo, etta PLC-venymanauha, joka koostuu suuresta maarasta dislokaatioita, kayttaytyy pohjimmiltaan kuin naennaishiukkasen yksittainen eksitaatio. Julkaisussa II naennaisesti kaksiulotteisen kuitumateriaalin, paperin, virumista tutkitaan murtumishetken laheisyydessa. Venyman paikallistuminen havaitaan tertiaarivirumisessa, samanaikaisesti siihen liittyvien suureiden mittakaavasta riippumattoman kaytoksen,…
Automatic Tumor Segmentation in Mammogram Images for Healthcare Systems in Smart Cities

Breast cancer is one of the leading causes of cancer in women, thus this is an important issue for smart cities health systems. The aiming of smart cities is to offer a better quality of life of its citizens, by means of technology thus it is important to develop methods to diagnose breast tumors in shorter periods of time and with high degree of confidence. For this end, in this chapter, it is proposed to develop a new method for automatic segmentation of breast cancer tumors using deep learning, in order to be part of a modules focused on detection and automatic diagnosis or as an aid to medical staff as a support for diagnosis.
IMPLEMENTASI PROFILE SEKOLAH BERBASIS WEB MENGGUNAKAN METODE MVC

ABSTRACTIndonesia is one of the developing countries in the world that still has problems in the world of education. There are three main factors that inhibit the underdevelopment of the quality of education which is the root of the problems among others; education curriculum, lack of qualified education personnel, and equitable distribution of education. One of the government's efforts is to implement a zoning system to solve the problem of educational equality. However, this system has an impact on private and pilot schools outside the government-owned schools. The inability of private schools to build their school profiles is like those built by government-owned schools. And how promotion and marketing use technology. This problem is also faced by TK or KIGP. The solution given is website development using the MVC method (Model, View, Controller). This method is applied so that the next website can be developed into an academic website. The results of community service include; increasing the knowledge of school administrators and teachers in terms of technological development and the creation of a school marketing tool.Keywords: zoning, profile, website, MVC, KBM
The Audit Investigation and Accounting Forensic in Detecting Fraud in Digital Environment

A forensic accountant helps organizations or individuals primarily to provide management support in the form of reports to detect fraud and support litigation, primarily through expert witness testimony. The objectives to be achieved in this study are to explore how investigative and forensic accounting audits are applied in detecting fraud in the digital environment and to find out why investigative audits and forensic accounting in detecting fraud in the digital environment need to be applied. Researchers conducted a library study by collecting several economic journals and books relating to the problem under study. The data collection method in this research is done by interpreting and analyzing qualitative data. The results of this study indicate that forensic accounting in detecting fraud in the digital environment can be done by computer forensic and investigations that must be done by making copies of the entire log data, making fingerprints from numerical data, making fingerprints from copies, making master list hashes and documenting data that has been done.
Peculiarities of Training Engineering Students with Disabilities

In this day and age, there are increasing discussions and calls for shifting towards inclusive education. In view of this, the present study intended to identify the most severe challenges disabled engineering students face according to their own view and find possible ways to solve them. For this particular aim, a survey of 555 students from five universities of Russia, Kazakhstan, and Uzbekistan was performed. These were the Bauman Moscow State Technical University, Northern Trans-Ural State Agricultural University, Sarsen Amanzholov East Kazakhstan State University, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, and South Ural State University. The survey was carried out in two stages. The first focused on identifying the main problems of disabled students (physical environment, staff skills and knowledge, theory-practice relationship, assessment peculiarities, and bias). The second intended to define the most critical of them (unadapted physical environment and reduced abilities to apply theoretical knowledge in practice). To resolve these issues, the authors propose the following recommendations to be adopted. These include adapted laboratories and equipment; programs that allow performing practical tasks; engineering tutors able to assist in performing practical tasks; an adapted assessment system with reference to health condition; psychological support to integrate disabled students into an inclusive team and eliminate prejudices. The obtained research findings can be used by other universities to promote a comprehensive integration of students with special needs into the educational process.
Practical implementation of Chipless RFID System

The Radio frequency identification technology (RFID) can detect and identify the tagged items in supermarkets and also used in fake objects authentication. However, the costly chip of current RFID tags is making it hard to compete with low-cost barcode identification system. The chipless version of RFID tags is designed, fabricated and printed in this research work to develop low-cost RFID system. The thesis work is mainly focused on the development of chipless RFID tag via low-cost printing technology and design of printed tags with improved performance in terms of data capacity and readability.
PebblePad workbooks for self-regulated learning: Study plans, learning strategies and reflection to promote success in first year

This study is focused on improving student success by embedding effective study strategies into a large first year course (Fundamentals of Biochemistry). Fundamentals of Biochemistry has a class size approaching 400, consisting of a diverse range of students with a large variation in ability and education background. In recent years, the fail rates of 37-38% (2017-2018) have prompted a re-development of this course to support student learning and student success. This was achieved by introducing students to effective learning strategies, and ultimately, promoting self-regulated learning through self-evaluation and reflection. This approach is based on recent studies of science, technology, engineering and mathematics (STEM) courses which highlighted the need for effective study strategies for optimal learning (Hora & Oleson, 2017), and identified learning strategies that improve student success (Dunlosky, Rawson, Marsh, Nathan & Willingham, 2013; Sebesta & Speth, 2017). This case study will outline the use of PebblePad to highlight effective study strategies, to develop study plans by incorporating these strategies, and to provide a safe space for students to evaluate and reflect on their performance.
Security Certification: Is It Box Ticking?

Security certification is supposed to help us build better products, but it can be our enemy if we implement it as box ticking. Eric Vetillard discusses how to avoid such an unhappy ending.