Reviewerly/exHarmony huggingface dataset:
Temporal Stability of Mineral Indices in a Semi-Arid Area

The majority of geological remote sensing studies have been done in arid and semi-arid areas, leading to seamless compositional maps and a cross-continental geoscience product of Australia. A challenge remains when such products are to be made for continents with temperate and cultivated regions. For that, sensors with a continuous multitemporal operation such as Landsat 8 OLI and Sentinel-2 MSI may have to be used to reach an optimal seasonal acquisition. This paper tests the robustness of Sentinel-2 MSI spectral indices over a semi-arid area in southern Spain. Spectral indices (band ratios) for mapping green vegetation and iron oxide mineralogy were acquired over a 1-year period, which had alternating dry and wet periods. Results show that changing soil moisture and weather conditions over a period of 1 year affect the stability of spectral mineral indices.
Students’ Perception on Learning English For Law Faculty Students at University of Batanghari Jambi

This study is determined to analyze the negative and positive perceptions of Law Faculty students in learning English as a compulsory subject. There were 30 Law Faculty students at Second Semester Academic Year 2020/2021 involved in this research. The study adopted survey approach by giving questionnaire of ‘Yes’ or ‘No’ to explore five (5) indicators motivation, learning strategies, feeling, communication, and knowledge related to learning English. The participants of the study were Second Semester Students of Law Faculty of University of Batanghari. A convenient purposive sampling was used to allocate students’ perception on learning English. The findings revealed that 83% of students shared positive perception on learning English at Law Faculty with the reasons that English could be useful for law practitioner. While, 27% of students shared negative perception as they have personal reasons such as; do not like English language to be profession, English is difficult to learn, and English is difficult to pronoun.
An International Approach to Speechwriting and Speechwriters: A Qualitative Study

Today, public speeches have a broader importance than they had before, since the transmission of a message/event has sped up significantly due to internet-based communication tools.When the role of speeches for individuals, organizations, societies, and countries is considered, designing a speech becomes more crucial.In addition, speeches feature in building the character of a company, a political party, or a person.In this context, while the number of speechwriters has increased noticeably, the profession in the communication realm is still highly invisible and, as a result, academic research on the subject is limited both in Turkey and beyond.This study aims to draw attention to speechwriting based on ancient rhetoric and to expose a broad international perspective on it.To reveal differences in implementation and perception and to find common ground in speechwriting, structured, in-depth interviews with twenty prominent speechwriters serving in the public and private sectors in ten different countries were conducted.According to the analysis, the international perspectives can be categorized regarding the length of a speech (15-20 minutes), the steps of speechwriting (research, imagination, mind mapping, determining the main message and side elements, writing the first draft, revising the text based on feedback), audience analysis, the structure of sentences (short and active sentences blended with long ones), and speechwriters' characteristics (language skills, modesty, patience, etc.).
AGLVQ - Making Generalized Vector Quantization Algorithms Aware of Context

Generalized Learning Vector Quantization methods are a powerful and robust approach for classification tasks.They compare incoming samples with representative prototypes for each target class.While prototypes are physically interpretable, they do not account for changes in the environment.We propose a novel framework for the incorporation of context information into prototype generation.We can model dependencies in a modular way ranging from polynomials to neural networks.Evaluations on artificial and real-world datasets show an increase in performance and meaningful prototype adaptations.
Pengaruh Penting Keempat Parameter Dalam Metode LILJENCTRANCTS FANT (LF) Pada Transformasi Wicara (SPEECH) Berbasis Turunan Gelombang Glottal

The accuracy of the results of speech signal conversion (Speech) is carried out for the synthesis of voice conversion into various forms of sound carried out using SQ, OQ, Formant and Pitch parameters. Voice conversion is done with the help of Tcl-based waveurfer snack software. The conversion process is done by changing the color of the sound without changing the sound quality and sound duration at a sampling frequency of 12KHz. The method used is Liljenctrants Fant (LF), all four parameters are set to match the sound      color or sound pattern you want to convert with a human voice database with one speaker, for example conversion of female voices, children's voices and elderly voices and voices in the form of robotic sounds . The SQ and OQ parameter values ​​are in the range between 0.8 - 1.9 while the Formant and Pitch parameter values ​​are 0.8 - 1.5. Depending on the color of the sound you want or need. This research is expected to be developed as a basis for sound synthesis, manufacturing of telecommunications information equipment, dubbing equipment in filmmaking or talking robotic.
V-Locate: Development of Web-Based Vulcanizing Shop Locator for 2nd District of Oriental Mindoro

Purpose–When traveling, getting a punctured tire is a common and inevitable problem that makesa vulcanizing shopbusinessindemand in the province. Vulcanizing shop repairs flat tires and sells a typical car and motorcycle needs.However, this small business was not tagged in the known navigation application.Thus, theproponents conceptualizeda Web-based application locatingthe nearest vulcanizing shops and motorcycle spare partsstores. The V-locate will not justprovidethe nearest shops and stores but also theinformation like theofferedproducts and services. The scope of the map on the said application is only limited to the areas within the 2ndDistrict of Oriental Mindoro.Method–The methodology used in development is Rapid Application Development (RAD),suitable for creating active phase software applications. To get the exact coordinates of every vulcanizing shop and spare parts store, the proponents used Geographical Positioning System (GPS) application. Several scripting languages,such asPHP and JavaScript, and theirframework and library, are used to develop the app.Results–The system was evaluated by 60 respondents consisting of faculty, drivers, and Rider's Club members conforming to ISO 25010 software quality standards. Theevaluation resultgot4.4for functional suitability, 4.4 for usability, 4.5 for security, and 4.3 for Performance Efficiency,which shows that the system is efficient and feasible for implementation.Conclusion–The vulcanizing shop in a province like Oriental Mindoro is ofgreat help to travelers when they meet unexpectedemergencies likehaving a flat tire. With that said, the development of the V-Locate application is essential for travelers in case they encounter such a mishap. Recommendations–For further improvement of the system, it is recommended to conduct beta testing and another evaluation using the remaining criteria of ISO 25010. Also,it is crucial towiden the scope of the map and make it offline.Research Implications–Once the system isfully implemented, it will ease the burden oftravelers in Oriental Mindoro to find repair shops in case of an emergency. Moreover, it also promotes and recognizes the existence of vulcanizing shops as a local business in the province.
Automatic Decision Algorithm of Interpretation Power in Criminal Justice Based on Data Activity Consultant

In order to solve the problems existing in the current decision algorithm, such as poor data processing performance, low decision accuracy, and long decision time, an automatic decision algorithm of criminal justice interpretation right based on data activity consultant was designed. According to the requirements of reasonable design consultant system data activity and demanded data activity consultants provide data processing requirements and scope. Use the Scrapy web crawler framework to crawl data related to criminal justice interpretation and criminal law provisions from related websites, and clear and extract the collected data to realize data query. Based on the obtained data, the feature array of criminal law is designed, and the decision of criminal judicial interpretation right is made. The C4.5 decision tree algorithm is used to predict the correct rate of decision. The decision of criminal judicial interpretation right is adjusted constantly according to the prediction results to achieve the goal of the automatic decision of criminal judicial interpretation right. Experimental results show that the algorithm has superior data processing performance, high decision accuracy, and short decision time, which verifies the effectiveness of the algorithm.
A Common Formal Framework for Factorial and Probabilistic Topic Modelling Techniques

Topic modelling is nowadays one of the most popular techniques used to extract knowledge from texts. There are several families of methods related to this problem, among them 1) Factorial methods, 2) Probabilistic methods and 3) Natural Language Processing methods. In this paper a common conceptual framework is provided for Factorial and probabilistic methods by identifying common elements and describing them with common and homogeneous notation and 7 different methods are described accordingly. Under a common notation it is easy to make a comparative analysis and see how flexible or more or less realistic assumptions are made by the different methods. This is the first step to a wider analysis where all families can be related to this common conceptual framework and to go in depth in the understanding of stengths and weakenesses of each method and ellaboration of general guidelines to provide application criteria. The paper ends with a discussion comparing the presented methods and future research lines.
A HIGHLY NON-LINEAR AND ROBUST DYNAMIC S-BOX FORCRYPTOGRAPHIC APPLICATIONS

Substitution Boxes (S-Boxes) are used to introduce confusion in Data Encryption Standard (DES). Confusion renders the relationship as dynamic as possible between the plaintext and the text of the cypher. DES uses eight S-boxes which are static in nature that is the contents of the S-box are not changing. Each of these 8 S-boxes receives an input of 6 bits and generates a 4 bit output. The S-box contents are not dependent on the plain-text or the key. In this paper, a novel, dynamic S-box for DES is proposed. The Dynamic S-box is keydependent. The proposed system produces 8 Dynamic S-boxes each receive 6 bit input and produce 4 bit output. The two different methods are analysed and this paper compares the non-linearity,delta uniformity and Robustness to Differential Cryptanalysis of the two different DES S-boxes. The proposed system is implemented and analysed. The analysis result shows that the dynamic S-box is highly non-linear,Robust to Differential Cryptanalysis and highly secure when compared to static DES S-box.
Comparison of Services for Creating Question-Answering Systems

Question-answering systems are widely used nowadays. They allow automating interaction between people. Common solutions include client support, recommendations, and order processing.A question-answering system is a system that answers natural language questions using a structured database or natural language document collection. It can be considered as the development of information retrieval.Three are different services for creating question-answering systems. In this work selected Dialog- flow, IBM Watson Assistant, Microsoft QnA Maker, and LUIS. Each service has its advantages and disadvantages.The main concepts of Dialogflow are agents, intents, entities, context. An agent is a virtual agent with a natural language understanding that handles conversations with users. An intent represents user intention for conversation turn. Each agent has its intents. Entities are parameters of intent that Dialogflow extracts from user expressions. A context in Dialogflow similar to natural language context and helps to control the flow of conversation.The main concepts of IBM Watson Assistant are intents and entities. Intents represent users’ goals. User inputs analyzed to select the most appropriate intent and choose dialog flow. An entity represents information in intent that is relevant to the user’s goal.Microsoft QnA Maker uses a concept of a knowledge base that is filled with information. Requests from the user are analyzed to extract the most appropriate information from the knowledge base. LUIS uses concepts of intent and entities. LUIS uses schemas to extract intent or entity from an input.Important for the choice are the tasks to be solved by the created question-answer system and the volume of system use. Each service has restrictions on the languages that are supported. Dialogflow supports 19 languages, IBM Watson Assistant only 10, Microsoft QnA Maker 52 languages, but LUIS only 17. All services support English, but only Dialogflow and Microsoft QnA Maker support Ukrainian and Russian. .Each service has standard integrations with messengers. All services support Slack and Facebook Messenger. The rest have different support from different services. All services provide options to create a custom integration for non-standard systems if the service does not provide them, through the appropriate APIs.Prices depend on the number of requests per month with a possible limit on the number per minute. Each service offers a free plan under certain conditions, but Microsoft services will require payment for Azure capacity.Manuscript received 09.06.2020
Macma Membership Management System With QR Code

Malaysia Chinese Muslim Associate (MACMA), is an organization that manage the Chinese Muslim community in Malaysia. As one part of MACMA Malaysia, MACMA Negeri Sembilan has the responsibility to manage event and monitor each of their members in the state. However, there are challenges and problems due to the current situation as only two persons involve in the management and administration of the organization. Thus, MACMA membership Management System is developed to manage the organization with more convenient and systematic way. The proposed web based system is equipped with QR Code technology. The QR Code generator was used to record the member attendance in every event organized by MACMA. This system also has plug and play capabilities to ease its implementation. The test result shows that all requirements were fulfilled and the system functioning as expected. Thus, it is hoped that the system can be beneficial and might be implemented to help in the management of other MACMA organization in the other states in Malaysia.
Corrigendum: Insulator Contamination Perception Based on Feature Fusion of Infrared Image and Meteorological Parameters

Polluted insulators seriously threaten the safe and stable operation of power grids, which attaches great significance to insulator contamination perception. Among the present methods, the non-contact approaches based on infrared images have gradually been widely used, as they are much more safe and are of low cost. However, the thermal effect of insulators is largely affected by meteorological conditions, which makes the infrared image-based methods less accurate. To solve the above problem, we take infrared image and meteorological parameters including humidity and temperature as input, and propose a feature fusion model to perceive insulator contamination in different weather conditions. Firstly, different feature extraction networks are used to perform feature extraction on the two types of data; secondly, the two features are concatenated to fuse together; thirdly, further feature extraction is performed and contamination is classified according to the pollution severity. Case studies show that the proposed method can better explore the relationship between humidity, temperature and pollution level of the insulators, thus can better separate the contamination grades and outperform the conventional infrared image based methods.
Rancang Bangun Sistem Informasi Penjualan Sparepart dan Jasa Servis Motor

Benneta Motor Workshop is one of the individual businesses that was founded in 2017, engaged in the business of selling motorcycle spare parts and servicing services. In running its business, Benneta workshop still uses conventional systems so that there are several obstacles found starting from the data management process, purchase transactions, sales and service services, to the process of making reports which are still recorded manually in notes and stored in a ledger so that it is still less efficient. in terms of time and process. Conventional systems cause the data to be inaccurate and not fast in recording so it takes a long time to do it. The purpose of this research is to build an information system for selling spare parts and motorcycle service using Visual Basic.Net programming language and MySQL database. In this study, the authors used a qualitative descriptive research method. The design method used in this application uses the waterfall method and the testing method used by the author is blackbox testing. With the creation of this system, it is hoped that it will provide efficiency and work effectiveness at the Benneta Motor Workshop.
Recognition of traffic generated by WebRTC communication

Network traffic recognition serves as a basic condition for network operators to differentiate and prioritize traffic for a number of purposes, from guaranteeing the Quality of Service (QoS), to monitoring safety, as well as monitoring and detecting anomalies. Web Real-Time Communication (WebRTC) is an open-source project that enables real-time audio, video, and text communication among browsers. Since WebRTC does not include any characteristic pattern for semantically based traffic recognition, this paper proposes models for recognizing traffic generated during WebRTC audio and video communication based on statistical characteristics and usage of machine learning in Weka tool. Five classification algorithms have been used for model development, such as Naive Bayes, J48, Random Forest, REP tree, and Bayes Net. The results show that J48 and BayesNet have the best performances in this experimental case of WebRTC traffic recognition. Future work will be focused on comparison of a wide range of machine learning algorithms using a large enough dataset to improve the significance of the results.
Enhanced Student Learning Experience in Technical Drawing and CAD through Augmented Reality and Micro-credentials

Computer Aided Drafting and Design is a required freshman course for Mechanical Engineering Technology AAS and BS and Manufacturing Engineering Technology BS programs at
Application of the Question and Answer Learning Method Through Reasoning Techniques to Improve Learning Activities of Class 6 Students at SDN Sukaharja 1 Telukjambe Timur District, Karawang Regency

The purpose of this study was to determine the increase in student learning activities by using the question and answer method through talaran techniques carried out on grade 6 students of Sukaharja 1 Elementary School, Telukjambe Timur District, Karawang Regency. The research method used is classroom action with observational research techniques, interviews, and tests and documentation. The researcher evaluates the learning process according to the success indicators that have been determined according to the competency standards and basic competencies and compares them with the Minimum Completeness Criteria (KKM), which is 65. The results of the analysis in the first cycle at the fourth meeting show that the value of students is still below the KKM as many as three participants students, with the lowest score of 51, and the class average was 86.16. In the second cycle, it shows an increase in the value of students at the fourth meeting with the lowest score of 70, and none of the students get a score below the KKM. The class average score has increased to 88.25. The learning activities of students had increased, which occurred in the first cycle obtaining an average of 58.10% to 76.51%. Meanwhile, the interviews conducted in the first cycle compared to the second cycle have different activities. In the first cycle, students still acted indifferently when the teacher explained and asked questions. In the second cycle, all students can respond well. The results showed that the application of the learning method through the memorization technique could increase the activity of grade 6 students in participating in learning at the Sukaharja 1 Elementary School, Telukjambe Timur District, Karawang Regency.
DRS ASSISTING UMPIRE USING COMPUTER VISION

A fair decision is crucial in any of the game to give justice to the game. Any wrong decision due to human misperception may fate the result of the game. Computer vision and Image processing techniques have been mentioned in the literature review which used multiple cameras for demonstration. This paper focuses on a system which helps in making the decisions to assist the umpire in taking the decisions such as no-ball, LBW i.e. Leg before wicket, Run out, stump out, etc with the help of smartphone camera of good quality. The Decision review system (DRS) aims to give decisions like run-out and stump-out. Tkinter is used to develop the GUI of DRS. Object classification and object recognition is implemented using Histogram of Gradients (HOG) and Support Vector Machine (SVM). To detect the cricket ball from the video we optimized and used frame subtraction, contour detection and minimum enclosing circle algorithms using OpenCV library. Linear regression and quadratic regression are used to track and predict the motion of the ball from video source. VPython is used for the visual representation.
PERAN GURU BAHASA INDONESIA MTsN DI KABUPATEN TRENGGALEK DALAM GERAKAN LITERASI

Abstract&#x0D; The literacy movement should be promoted in the education unit. This is due to the low level of literacy activities, especially students. This study aims to determine the role of Indonesian teachers in the literacy movement and the results of the application of the State Islamic Junior High School Literacy Movement in Trenggalek Regency. The method used is qualitative with a descriptive approach. The data source is gained from State Islamic Junior High School Indonesian teachers in Trenggalek Regency. Data collection techniques in this research are observation, interview and documentation. The results showed that the majority of State Islamic Junior High School Indonesian teachers in Trenggalek Regency had played an active role in the literacy movement and had met the criteria as the pioneers of the literacy movement in their respective institutions. As a good example, Indonesian teachers have a very important contribution in the literacy movement. Although in its application there are also challenges that require Indonesian teachers to find solutions to continue developing literacy to be better in its implementation.