Reviewerly/exHarmony huggingface dataset:
Exploring the Use of Learners’ First Language in English as a Foreign Language Classroom

The use of learners’ first language has been debated for years. Some of the researchers think that using learners’ first language can be a help for foreign language learning while others argue that it can be hindrance. Therefore, this study focuses on investigating students’ and teachers perceptions on the use of learners’ first language (L1) and problems they encountered in using English in the English as a Foreign Language (EFL) classroom context. The study involved 150 students of grade X and grade XI and two English teachers in a high school in rural Karawang, West Java. The data were collected through questionnaire, interviews, and classroom observation and were analyzed using mixed methods approach. The findings of the study reveal that the participants showed various responses related to the use of L1. The result of the study indicates that the participants perceive L1 as facilitating learning tool that can help both teachers and students in learning process. Thus, it is suggested that teachers should be able to not only use L1 wisely but also encourage their students to use more English in the classroom.
Digital Color Image Watermarking Using Encoded Frequent Mark

With the increased development in digital media and communication, the need for methods to protection and security became very important factor, where the exchange and transmit date over communication channel led to make effort to protect these data from unauthentication access.&#x0D; This paper present a new method to protect color image from unauthentication access using watermarking. The watermarking algorithm hide the encoded mark image in frequency domain using Discrete Cosine Transform. The main principle of the algorithm is encode frequent mark in cover color image. The watermark image bits are spread by repeat the mark and arrange in encoded method that provide algorithm more robustness and security. The proposed algorithm efficiency is measured by using many of measurement factors such as Peak Signal to Noise Ratio PSNR and Normalized Correlation Coefficient NC, the watermark robustness and feasibility are measured by using many types of attacks.&#x0D;
All-But-Many Lossy Trapdoor Functions under Decisional RSA Subgroup Assumption and Application

Abstract Lossy trapdoor functions (LTDFs) were introduced by Peikert and Waters (STOC 2008) and have a number of applications in cryptography. All-but-many lossy trapdoor functions (ABM-LTDFs) are generalizations of LTDFs studied by Hofheinz (Eurocrypt 2012). Specially, using ABM-LTDFs to construct public key encryption (PKE) scheme with selective opening security has been proven feasible. Existing ABM-LTDFs were built on pairings, lattices and decisional composite residuosity (DCR) assumption. However, pairing-based ABM-LTDFs and DCR-based ABM-LTDFs rely on non-standard assumptions. In this paper, we construct an ABM-LTDF under the decisional RSA subgroup (DRSA) assumption, and we employ it to construct PKE scheme with selective opening security. We also propose a construction of DCR-based ABM-LTDF relying on standard assumption in Appendix.
LiDAR assisted large-scale privacy protection in street view cycloramas

Recently, privacy has a growing importance in several domains, especially in street-view images.The conventional way to achieve this is to automatically detect and blur sensitive information from these images.However, the processing cost of blurring increases with the ever growing resolution of images.We propose a system that is cost-effective even after increasing the resolution by a factor of 2.5.The new system utilizes depth data obtained from LiDAR to significantly reduce the search space for detection, thereby reducing the processing cost.Besides this, we test several detectors after reducing the detection space and provide an alternative solution based on state-of-the-art deep learning detectors to the existing HoG-SVM-Deep system that is faster and has a higher performance.
Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries

Current ‘dry lab’ surgical phantom simulators are a valuable tool for surgeons which allows them to improve their dexterity and skill with surgical instruments. These phantoms mimic the haptic and shape of organs of interest, but lack a realistic visual appearance. In this work, we present an innovative application in which representations learned from real intraoperative endoscopic sequences are transferred to a surgical phantom scenario.
ONLINE KNOWLEDGE-BASED EXPERT SYSTEM (KBES) FOR PSYCHOLOGICAL DISEASES DIAGNOSIS

Artificial Intelligence (AI) is one of computer science branches and is used to solve problems with symbolic reasoning.Expert systems (ESs) are one of the prominent research domains of AI.We developed declarative, online procedural rule-based expert system models for psychological diseases diagnosis and classification.The constructed system exploited computer as an intelligent and deductive tool.This system diagnoses and treats more than four types of psychiatric diseases, i.e., depression, anxiety disorder, obsessive-compulsive disorder, and hysteria.The system helps psychology practitioner and doctors to diagnose the condition of a patient efficiently and in short time.It is also very useful for the patients who cannot go to a doctor because they cannot afford the cast, or they do not have a psychological clinic in their area, or they are ashamed of discussing their situation with a doctor.The system consists of program codes that make a logic decision to classify the problem of the patient.The methodology for developing the declarative model was based on the backward chaining, also called goal-driven reasoning, where knowledge is represented by a set of IF-THEN production rules.The declarative programs were written in the PROLOG.While the design of the procedural model was based on using common languages like PHP, JavaScript, CSS, and HTML.The user of the system will enter the symptoms of the patients through the user interface and the program executes.Then the program links the symptoms to the pre-programmed psychological diseases, and will classify the disease and recommend treatment.
METADISCOURSE MARKERS IN THE UNDERGRADUATE THESIS INTRODUCTION WRITTEN BY ENGLISH DEPARTMENT STUDENTS IN UNIVERSITY OF BENGKULU

This research is aimed to find metadiscourse form and metadiscourse category which are dominantly used in the undergraduate thesis introduction written by English Department students of Bengkulu University. The documentation technique and checklist are used in this research. Fifteen undergraduate thesis introductions by English Department students were analyzed by using mix method quantitative and qualitative, along with descriptive approach. From the result it was found that English Department students dominantly used interactive metadiscourse markers category and transition metadiscourse markers form in their writing. However, English Department students used of metadiscourse markers were still limited to the use of and, or, also but metadiscourse markers.
Strategi Komunikasi Dalam Interaksi Dengan Mahasiswa Pertukaran Asing

A communication process can be considered success when the communicant receives and understand the message as what the communicators meant. This effective communication will result in the achievement of a communication goal. However, the effective communication might be difficult to happen when both interlocutors do not have the same native language. It happens because the language barriers may influence the process of understanding the message while the communication happens. To overcome the problem, the communicator applies some communication strategies. This comparative study used observations and interviews to examine the communication strategies used by first- and third-year English students of Universitas Gadjah Mada Indonesia during spoken interactions in English with exchange students from Cheng Du Textile College China. The objective of this study is to observe how the first- and third- year study overcome their communication problem while talking with non-English native speaker students and use the data as inputs to develop the next curriculum. The writer uses Tarone’s communicative strategies to identify the students’ strategies. The result shows that ‘Literal Translation’ is not used by English students while communicating with exchange students, ‘Circumlocution’ and ‘Message Abandonment’ are only used by third year students, ‘Appeal for Assistance’ and ‘Topic Avoidance’ are only used by first year students, third year students’ most used strategies are ‘Mime’ and ‘Word Coinage’, and first year students’ most used strategies are ‘Approximation’ and ‘Mime’.
How AI and satellites could help predict volcanic eruptions

Emerging monitoring methods will allow scientists to keep an eye on many more volcanoes. Emerging monitoring methods will allow scientists to keep an eye on many more volcanoes.
Existing Trends of Digital Watermarking and its Significant Impact on Multimedia Streaming: A Survey

Nowadays digital media has reached the general level of resource sharing system and become a convenient way for sharing lots of information among various individuals.However, these digital data are stored and shared over an internet which is an entirely unsecured and most frequently attacked by several attackers, resulting in a massive loss at various parameters and creates severe issues of copyright protection, ownership protection, authentication, secure communication, etc.In recent years, digital watermarking technology has received extensive attention from users and researchers for content protection and digital data authentication.However, before implementing digital watermarking techniques in practical applications, there are still many problems that need to be solved technically and efficiently.The purpose of this manuscript is to provide a detailed survey on current research techniques of digital watermarking techniques for all media formats with their applications and operational process.The prime objective of this manuscript is to reveal the research problem and the efficient requirement to implement robust watermarking technique after analyzing the progress of watermarking schemes and current research trend.
SOURCE-BASED WRITING AMONG UNDERGRADUATE STUDENTS: PERSPECTIVE AND CHALLENGES

The level of scientific publications of Indonesian students at the international level is still very minimal. Even when compared to Malaysia and Thailand, Indonesia is still lagging behind. The Ministry of Research, Technology and Higher Education targets that in 2019 Indonesia will reach 30,000 international publications. Therefore, students' interest in writing must be increased, especially writing based on sources. Therefore, this study would like to find students' perspectives and perceived challenges in writing based on sources. This research was based on a case study. The research involved 68 students from one of the state universities in Bandung, and it analyzed 20 selected scientific papers written by students. The instruments for data collection included questionnaire and observation. The results of this study found that 59% of students perceived that writing scientific papers is very difficult. The students found it difficult to find suitable sources for writing material and develop their ideas. They tended to use articles as the sources from the internet whose originality is unclear. One reason this happens was because 80% of students did not know where to find or get indexed journals to use as references for their writing. In addition, many students also preferred not to use journals that were majorly English-based because of their limitation of English skills. The implication is that students should be given further understanding of how to access journals and use reference sources in writing. It is expected that every lecturer will give more source-based writing assignments so that the ability of students to write and develop ideas based on existing sources can be further improved.
Sistem Informasi Pengarsipan Instrumen Akreditasi Perguruan Tinggi

At Lancang Kuning University, there were no facilities that could be used in the preparation of university accreditation instruments, while the need for accreditation data was greatly needed by the academics of the yellowish university in the preparation of accreditation instruments for universities and study programs so that they were still having difficulty filing and presenting form data information, plans strategic and operational and self-evaluation plan along with the documents needed during the visitation activity by the assessor of the National Accreditation Board of Higher Education (BAN-PT). With the use of information technology in the application of computerized based applications for filing and presenting accreditation data needs, it is expected to help the academic community more quickly and precisely in the data processing instrument for accreditation. It is expected that with the development of archiving applications and the presentation of accreditation instruments with the completion of the System Development Lyfe Cycle (SDLC) method in the problem analysis phase, the applications built can improve the quality of accreditation instruments in data processing that are well integrated and can be utilized at any time by the community the Lancang Kuning university.
Trust-Significance, Definitions and Dimensions: A Literature Search

This is a literature based paper addressing the significance, definitions and dimensions of trust. Trust is a crucial subject matter for many social science disciplines. Researchers could reveal that trust reduces risk, increases productivity, builds a strong relationship between the colleagues in the work place, helps in transferring knowledge between the individuals and organisations, builds team work, minimizes controls, reduces expenditures, reduces competitive attitudes and makes decision making easy. Trust is difficult to define. Researchers and theorists have defined trust in different ways. Trust is defined in numerous ways. Trust dimensions show the various elements and ingredients of trust constituting trust. The definitions and dimensions of trust identified by the researchers are frequently repetitive and concurrent. Future researchers may empirically examine the impact of trust dimension on various issues in the organisations.
Designing mobile learning: Empirical journey to reality in Malaysian secondary school context

Designing a conducive and meaningful learning environment in the teaching and learning is thought-provoking tasks. The use of teaching materials will be one of the resources and normally teachers or the practitioners will need to put a lot of considerations will assist teachers in creating the desired learning outcomes. This paper aims to share the initial steps engaged in the process of creating a mobile learning concept which is applicable for Malaysian Secondary School Education. Therefore, the mixture of qualitative and quantitative measure was deployed in order to achieve the primary objective of creating a workable mobile learning concept. The findings from analysing 40 documents had unlocked a few gaps to be filled in: they enabled the focus to be on the small �l� component for the English Language secondary school syllabus as well as on the feasible methodology to be applied for the real mobile language learning context. Whereas the input from the need analysis provided more insights on how the content for the dry literature components could be arranged in the learning context. Hence, by combining the input from the documents analysis and need analysis data, they had proven to be empirically and beneficially useful steps to be taken before embarking on the actual conception of any teaching and learning design to be proposed or implemented. These initial steps had proven to be beneficial for the next stage of designing the mobile learning environment in Malaysian secondary school context.
PENGEMBANGAN PERMAINAN LEGO KIMIA SEBAGAI MEDIA PEMBELAJARAN SUB MATERI KONFIGURASI ELEKTRON PADA SISWA KELAS X SMA MUHAMMADIYAH 1 PONTIANAK

The students problem in understanding the electron configurations was caused by the ineffective learning media which is used by the teacher didn’t fit the student’s characteristic. Therefore, it is important to develop media of Lego Chemistry games for electron configurations class. The validation of the media is validated in three aspects. They were validity from the results of the game, practicality from the results of the questionnaire, and the effectiveness from the results of the pre and post tests. This study used a Research and Development (R &amp; D) model of Borg and Gall conducted in seven stages. The study showed that media of Lego Chemistry games was suitable for teaching learning process. It can be seen from the results of the material and media aspects by 0,83 and 0,94 which was valid. The results of the practicality of the questionnaires on the small and main tryouts were 92,50% and 90,66% and were considered practical. The results of the effectiveness of the N Gain on the small and main tryouts were 0.74 and 0.92 (high). Therefore, media of Lego Chemistry games was valid and effective. It is suitable to be used as the learning media in Chemistry class.
Fire and Rescue Robot

The fire and rescue robot is an embedded system used to help the rescue team in disaster environment to detect living things and to know the status inside the area to take proper precaution.This robot detects poisonous gas amount of temperature and motion inside the room.This robot has a roller wheel to climb the stairs and obstacles and also have a 360 degree rotating fire and smoke resistant camera for covering huge area.The data is send to the android application through wi-fi.
Transfer Learning with Joint Distribution Adaptation and Maximum Margin Criterion

Transfer learning aims to transfer knowledge from the labelled source domain data to build a good classifier for the target domain data which has few labels or none. Existing feature-based transfer learning methods seek to transform the data to a new feature space under which the distribution discrepancy is reduced. However, data in different classes may not be easy to be separated in the new feature representation. Therefore, a modified transfer learning algorithm with Joint Distribution Adaptation (JDA) and Maximum Margin Criterion (MMC) is put forward in this paper, which we call MMC-JDA for short. MMC-JDA is aimed at minimizing the distribution discrepancy between two domains and maximizing the separability of each class at the same time. Comparative experiments on 16 cross-domain public image datasets show that MMC-JDA is effective and performs better than several common transfer learning methods.
Multi‐person pose estimation using atrous convolution

The technology of human keypoint localisation has been greatly improved with the development of deep neural network. In particular, recent methods that exploit multi-scale features and cascaded networks have achieved the accurate prediction of multi-person keypoints. These methods typically extract small-resolution feature maps with classical backbone and then generate heatmaps through upsampling. However, consecutive striding is harmful for keypoint localisation since detail information is decimated. In this Letter, the authors present a novel network structure that uses atrous spatial pyramid pooling to generate keypoint prediction. First, atrous convolution is used in the backbone to expand the receptive field and maintain the scale of the feature map. Thus, the size of the feature map can be guaranteed to avoid too many details being removed. Second, multi-scale features are extracted using an atrous spatial pyramid pooling module to enrich the scale information of the obtained features. Finally, instead of upsampling, deconvolutional layers are applied to construct the output heatmaps. State-of-the-art results are achieved on the MS COCO 2017 keypoint database.
A Hybrid Approach based on Parallel Coordinates and Star Plot

Multivariate data visualization has to accommodate all dimensions/variables of a given dataset in the same display so that the data items can be rendered with respect to these variables. We propose a hybrid approach based on the combination of the standard parallel coordinates and star plot techniques by implementing a focus + context scheme. The focus area displays the parallel coordinates plot of the data with respect to few selected dimensions by mapping them as vertical parallel axes sufficiently wide to provide a clear view of the variables and data. The context area then maps the rest of the variables as tightly packed radial axes forming one or two partial star plots. We design multiple layouts of combining the parallel and star axes. Each layout maintains the data continuity between the focus and context displays. Our tests show that the proposed hybrid axes plot can manage a large number of variables (even exceeding one hundred) to support effective visualization of ultra-high dimensional datasets.
Design And Implementation of Website Based Chatbot

TechUp is a site based chatbot. This chatbot can make it easy to interface with the site. The bot comprehends and chats with the client in Simple Language. This chatbot is connected to a web based business site. This site has an assortment of items. The chatbot causes you to settle on a choice which item is reasonable for you. Its capacities fundamentally like an online computerized assistant. . The purpose of this project is to provide an easy shopping facility online and easy selling facility to the merchants of all categories. The idea about this application is that it will help the user to interact with the e-commerce engine through an intelligent assistant.
The simulation of the observation data in predicting tidal patterns using the Admiralty method in Dumai’s harbour

In this paper, we have discussed the tidal analysis conducted using the Admiralty method with 15 days of tidal data as the research object. Due to the long tidal data period, the analysis was conducted in order to determine the proper time to collect the data for future tidal predictions. This data has to be adequate for its realisation in reality. The used data was collected from the Geospatial Information Association and the location of this research study was Dumai’s Harbour. The study started on July 13 th , 2014 and ended on December 8 th , 2014. For verification, the used data started from June 13 th , 2016 and ended October 31 st , 2016. From the 135 simulations, we determined that the magnitude of the Root Mean Square Error (RMSE) was 106.2. In order to produce well-predicted tidal results, the collection of the tidal data was best started during the phase of the crescent moon (which begins on the 24 th based on the Hijriah calendar). On these dates, the RMSE reached the lowest value with a magnitude of 74.76. This result could be used as a reference when choosing the proper time to collect the observation data and also for predicting the tidal patterns at the location.