Reviewerly/exHarmony huggingface dataset:
Deep Learning-based FASCAM Areas Analysis Using Aerial Photographs

This study attempts to find FASCAM(Family of Scatterable Mines) areas automatically from aerial photographs. Currently, manual FASCAM area analysis is conducted in military, and it takes a long time and can generate inconsistent results. In order to select FASCAM areas automatically, an object classification of aerial photographs was first performed using deep learning techniques. DeepLabV3+ was selected as the deep learning model that showed good performance in the aerial photography classification. Areas with high similarity compared to sample images of FASCAM areas was selected as FASCAM areas. As the image similarity comparison method, the color histogram was used. Finally, the proposed FASCAM area analysis method showed 85.71% of agreement with military engineering officers. If the method of this study is used, it is expected to be helpful in analyzing the battlefield environment and establishing an obstacle plan.
Planning the building a SOC - A Conceptual Process Model

There are few frameworks available to consult when building Security Operation Centers (SOCs). (P. Jacobs, 2015). Jacobs proposed such a framework, and this paper builds on the “Planning” part of that framework. The authors could not find any existing conceptual process models where it comes to the planning phase when building SOCs. We propose a conceptual process model to follow during the planning phase of the SOC. Conceptual models are used to represent systems typically made up of the composition of concepts (Robinson; Arbez; Birta; Tolk; Wagner, 2015). The aim of our conceptual process model is to help SOC builders understand the proposed process to be followed during the SOC planning phase and is meant to guide the SOC builder's thinking during the planning phase.&#x0D; &#x0D; The conceptual process model will start by determining the services that the SOC in development will be offering, followed by deciding on a SOC model. After the determination of the SOC services and model we will identify the technologies and tools to facilitate the services, keeping in consideration the influence the SOC model has on the service. For each of the steps in our conceptual model we have identified existing, public frameworks, standards or best practices. Our conceptual process model will be mapped to these frameworks, standards or best practices with the intention to be used to augment our model.
Augmented Reality In Human Life

Abstract: Augmented Reality frequently defined as a system that comes with three basic features: a mixture of real and virtual worlds, real-time interaction, and accurate 3D registration of virtual and real objects. In past few years, the rapid development of augmented reality technology has attracted people's high attention. The association of historical advances in Augment Reality (AR) techniques with small and affordable technologies (e.g., sensors, displays, and input devices) we are on the threshold of AR becoming an productive tool for many applications and even everyday life. Primarily AR research has focused on creating technologies, algorithms, and techniques to realize demonstrations that we evaluate with engineering benchmarks, like performance of a tracking system, photorealism of the graphics, and human performance completing a task[2]. Keywords: AR, algorithms, virtual reality
SOLVING MULTICAST ROUTING PROBLEM USING PARTICLE SWARM OPTIMIZATION

In a given network there exist many paths from source to destination, among all selected paths finding the optimal shortest path is a challenging task. In this research paper, we proposed a new concept of particle swarm optimization technique, called swarm intelligence, to solve the multicast routing problem to find out the optimal route associated with a network, here we also used triangular fuzzy number tools to encode particles in PSO (particle swarm optimization), first it breaks the network into small spaces and from the small space it computes the optimal path.
Social Media and the Cyber Crimes Against Women-A Study

Cyber security is also referred to as information security or computer security. Additionally, this book provides an overview of the history of cyber security. As part of our research, we sought to discover what the repercussions of cyber-violence, harassment, and discrimination against women would be in a patriarchal culture. This paper examines the realities on the ground - how well Indian laws protect women (and girls) and create an environment where they can safely use the internet. The Union Ministry of Women and Child Development has acknowledged the seriousness of cyber-crime and the need for coordinated efforts to combat it.
Online Mini Workshop on Recycled Cardboard Craft with Batik Pattern for Junior High School Students

Paper is one kind of waste which are abundantly available. Although the use of writing or printing paper is significantly reduced since many writing activities have moved to digital means, however other paper products such as cardboards are significantly increasing. This is a result of the increase in online shopping activities where most of the goods are being delivered in cardboard packages. One of the craft topics for Level 7 of Junior High School from the Indonesian Ministry of Education and Culture includes the recycled paper or other paper products to be transformed into other functions. Hence, cardboard is very suitable to be used as a learning object. As cardboard also has a certain structure which consists of 3 layers of cardboard, the middle is corrugated paper, hence the students could learn to manipulate cardboard into an interesting product. As the workshop was being conducted online there were some techniques that had to be adjusted in terms of material delivery strategies and teaching methods. The workshop method conducted by a community service team consists of university lecturer and university students who gave a mini-workshop session for the 7-grade school students. The students were invited to employ their crafting skills using commonly available recycled cardboard material.
A Survey Paper on Stance Detection of Tweets on Farmers Protests in India

Abstract: Protests are a critical part of democracy and a crucial medium for people to deliver their needs and/or dissatisfaction to the authorities. As farmers felt a threat to their rights, there were more and more protests all around the nation. With the development of this technology, additionally there has been a sudden rise in the use of social network sites to trade facts and ideas. In this study, we collected information from the social networking internet site Twitter regarding the Farmers’ protest to apprehend the feelings that the twitter users shared on a worldwide platform. In the midst of this protest, social media users had been very lively in voicing their opinion about the matter using the "#FarmersProtest". With lots of people tweeting with the hashtag daily. Through the Stance Prediction of over 850,000 tweets and over 150,000 Users, We intend to decide the Inclination of Common Citizen in addition to Influential People on the now repealed Laws. Keywords: Stance Detection, ULMFIT, Language Model, Farmers, Twitter
Issues and challenges with changing perspective of time in cyber tort

Private details such as usernames, Cybercriminals often collect the victim's identification numbers, credit card information, and social security number in order to conduct fraud in the name of the other person. These confidential details may be used for a number of illegal purposes, including requesting loans, making online purchases, and getting entry to the victim's financial and health details. The use of an individual’s identity for wrongful purposes like fraud and other getting their information illegally is known as identity theft. It can range from using their surname, social security number, or credit card details, against their authorization. The term "identity theft" was created in 1964. Both in the United Kingdom and the United States, identity fraud is now legally characterized by loss of personally identifiable information. Identity fraud is the fraudulent use of some other particular personality to get financial or other rewards.
improved data hiding approach on color images using difference expansion algorithm

Nowadays, the extra focus is compensated to safeguard information sending across network. To confirm protection of cover image, it is encoded and information hiding away is made in encrypted image. In incidental conditions, expect to apply color images as cover image and huge measure of information to hide away in image. In this paper, a clever lossless information concealing procedures produced for color images utilizing pixel assessment strategy and Difference Expansion Algorithm. The Pixel assessment characterizes, the most standard way to deal with gauge class districts from satellite-decided guides. It incorporates concluding the amount of pixels doled out to a specific effective class and expanding it by the pixel district. The information concealing strategy for double images using the weighting worth of Pixel Esteem Differencing. In this procedure, Pixel Estimation plot takes advantage of both the connection between the shading channel and the relationship between the contiguous pixels by assessing the innovative pixel values on shading channel contrasts. Then, at that point, each file esteem is assessed by utilizing the normal of its four point of reference neighbors.
PENGGUNAAN METODE SUPPORT VECTOR MACHINE UNTUK KLASIFIKASI SENTIMEN E-WALLET

In Google Play Store there are lots of application ready to be explored and downloaded. Google Play Store is a place where many developers can sell applications that they have made. Apart from being a place for searching and downloading applications, Google Play Store can also be used to conduct a research. E-Wallet is one of a technological development that can be used to do many transactions. Doing transaction with e-wallet can be done anywhere you want. E-wallet in Indonesia is growing very rapidly especially in the present time where covid-19 is growing rapidly. This is one of the reasons why many people now using e-wallet for doing transcations. Many interesting promotions that were given is also one of the reason why people start using e-wallet. This research had the objective to visualize people’s emotion on e-wallet based on user opinion in Google Play Store. The research stage starts from scrapping data from Google Play Store, preprocessing data, classification with Support Vector Machine, evaluation with confusion matrix. Data were scrapped from google play store using google_play_scrapper API. This research uses OVO review of 500 data, DANA review of 500 data, LinkAja review of 500 data. The classification results will then be evaluated using a confusion matrix. The highest accuracy results will be used as a model for the classification stage. The classification results will be displayed in the form of tables and pie charts that describe the percentage results of sentiment classification.
The Practicality Test Of Audio-Based Podcast Media For Online Learning

The outbreak of Covid-19 pandemic has been given an impatful consequence to the change of learning system from conventional to virtual meeting. The learning resources, at the beginning, are delivered by the teachers directly in the classroom and textbooks then become ineffective ways because the distance issue between the teachers and the students. Furthermore, a variety of digital based learning media then is developed, including implementing the Podcast in the learning and teaching process. This study aims at analyzing the practicality test of Podcast in Introduction to Education Course. About 121 students were involved to participate in giving their perspectives and opinion toward the developed media. The test had been conducted three times, namely: individual test, small group test, and field test. From the examination, it can be concluded that the result of individual test is enough practical with 78,6%, small group test is practical (83,3%) and field test is practical (88,4%). In the meantime, the students gave some positive reason on applying Podcast in learning, such as: the accessibily, flexibility, and the connectivity.
Effective techniques to language training of foreign students in Russian universities

The strategic target of Kazan Federal University is enhancing its authority and gaining academic prestige in the area of research and development. For this reason, the objective of our research is to find out whether our techniques are effectively designed to meet the foreign students’ professional language needs and how they impact their learning skills. Subsequently, these methods are being focused on developing their English communication skills in workrelated situations. Firstly, we identified the strategy of formation the coherent speech at the level of topic-comment relationship. Secondly, we used the gambits as an essential instrument of speech culture. Comparative characteristics of the levels of English proficiency among foreign students of KFU and KNRTU-KAI illustrate the positive results of the experiment, which confirm the effectiveness and success of the proposed techniques. Thus,our methods of teaching English to foreign students make a certain contribution to the accelerated development of the necessary competencies.
Perancangan Game Platformer 2D “Seasonal” Pada Web

“Seasonal” is a 2D game with platformer and single player genres. This game can be played on the web or devices that can access the browser. Game is developed using Unity 2019.4.14f1. Players are required to collect 4 treasure boxes from 4 seasons. Those seasons are Spring, Summer, Autumn and Winter. Testing is done by blackbox testing, alpha testing and beta testing. Alpha testing is tested by the supervisor while beta testing is tested by 48 respondents. The results of beta testing show that "Seasonal" is a game that can be enjoyed by all groups from teenagers to adults. “Seasonal” also playable on Google Chrome, Microsoft Edge, Safari, and Opera browsers. In addition, "Seasonal" has interesting gameplay but has level of difficulty between normal to difficult.
Clinical Comparable Corpus Describing the Same Subjects with Different Expressions

Medical artificial intelligence (AI) systems need to learn to recognize synonyms or paraphrases describing the same anatomy, disease, treatment, etc. to better understand real-world clinical documents. Existing linguistic resources focus on variants at the word or sentence level. To handle linguistic variations on a broader scale, we proposed the Medical Text Radiology Report section Japanese version (MedTxt-RR-JA), the first clinical comparable corpus. MedTxt-RR-JA was built by recruiting nine radiologists to diagnose the same 15 lung cancer cases in Radiopaedia, an open-access radiological repository. The 135 radiology reports in MedTxt-RR-JA were shown to contain word-, sentence- and document-level variations maintaining similarity of contents. MedTxt-RR-JA is also the first publicly available Japanese radiology report corpus that would help to overcome poor data availability for Japanese medical AI systems. Moreover, our methodology can be applied widely to building clinical corpora without privacy concerns.
Multimodal Learning Material in An English-Speaking Class in Kampung Baluwarti

This study mainly concerned about the use of Multimodal learning material in enhancing students’ English-speaking skill. The study was carried out in Kampung Baluwarti Surakarta as the researcher was one of the tutors involved in Community service team of ABA St. Pignatelli Surakarta during January to March 2022. The main objective of this study was to investigate the implementation of multimodal learning material used in English speaking class of Kampung Baluwarti tourism community. Furthermore, their perceptions towards the use of the learning material were depicted as well. Qualitative research with narrative design was used in this study. The researcher collected the data through a variety of data collection got from in-depth interviews with the students, observation, and documents. It was discovered that multimodal learning material could be presented in various mode such as sound, picture, motion and written text to accommodate students’ learning. It helped students to be more active in practicing the target language. Students’ involvement was seen more during the lesson. Moreover, students seemed to be excited and comfortable during the class. In other words, multimodal learning material applied in the teaching learning process makes a difference in students’ speaking skill achievement.
Atmospheric Modeling for Estimating Wind Potential: a Spatio-Temporal Assessment of the Northeast Region of Brazil

This work examines, on different aspects, the sensitivity of the Weather Research and Forecasting (WRF) atmospheric model over the Northeast Region of Brazil to evaluate its performance in representing wind speed and direction. Thus, it seeks to stimulate the growth of the wind industry in the country and the improvement of the WRF. For that, three compositions of physical parameterizations are proposed, two focused on the comparison of the Planetary Boundary Layer (PBL) scheme used and one on the global model Global Forecast System (GFS), as well as verified its results in two horizontal resolutions, 3 and 9 km. The first two weeks of March and September 2018 are evaluated. The applied statistical analyzes are validated through observations provided by the National Institute of Meteorology (INMET), as well as by GFS analyzes. The results demonstrate that the YSU-PBL scheme, with the topo_wind option activated, provided, for the periods of study, the most reliable wind reproduction over the Northeast, as well as the arrangement based on the GFS parameterizations. The WRF presents a better performance, when compared to the other analyzed regions, above all, on the northeastern coast, a range of relevant wind potential and, therefore, of great applicability of the model
THE DESIGN OF TEACHING WRITING MATERIALS FOR UNIVERSITY STUDENTS: A GENRE BASED APPROACH

This study aims to (1) describe the needs of textbooks in learning to news writing which are used as development teaching materials and design learning, (2) design textbooks and design learning that are in accordance with the analysis of student needs, (3) develop text books and design learning for news writing based on a genre process approach for students, and (4) to find out the potential influence of developing news writing text books and design learning based on the genre process approach to learning outcomes. This research is research and development. The subjects in this study were 26 students. The results of the study indicate that the news writing text book and design learning as a result of this development has a potential influence in improving students' abilities and understanding of news writing materials in university.
Exact and greedy algorithms of allocating experts to maximum set of programmer teams

The allocation of experts to programmer teams, which meet constraints on professional competences related to programming technologies, languages and tools an IT project specifies is a hard combinatorial problem. This paper solves the problem of forming the maximum number of teams whose experts meet all the constraints within each team. It develops and compares two algorithms: a heuristic greedy and exact optimal. The greedy algorithm iteratively solves the set cover problem on a matrix of expert competences until can create the next workable team of remaining experts. The paper proves that the allocation greedy algorithm is not accurate even if the set cover algorithm is exact. We call the allocation algorithm as double greedy if the set cover algorithm is greedy. The exact algorithm we propose finds optimal solution in three steps: generating a set of all non-redundant teams, producing a graph of team’s independency, and searching for a maximum clique in the graph. The algorithm of generating the non-redundant teams traverses a search tree constructed in such a way as to guarantee the creation of all non-redundant teams and absorbing all redundant teams. The edges of the non-redundant team independency graph connect teams that have no common expert. The maximum clique search algorithm we propose accounts for the problem and graph features. Experimental results show that the exact algorithm is a reference one, and the double-greedy algorithm is very fast and can yield suboptimal solutions for large-size allocation problems.
Using Interactive Visual Analytics to Optimize Blood Products Inventory at a Blood Bank

Blood products and their derivatives are perishable commodities that require an efficient inventory management to ensure both a low wastage rate and a high product availability rate. To optimize blood product inventory, Blood Transfusion Services (BTS) need to reduce wastage by avoiding outdates and improving availability of different blood products. We took a blood product lifecycle approach and used advanced visualization techniques to design and develop a highly interactive web-based dashboard to audit retrospective data and consequently, to identify and learn from procedural inefficiencies based on analysis of transactional data. We present pertinent scenarios to show how the blood transfusion staff can use the dashboard to investigate blood product lifecycles so as to probe transition sequence patterns that led to wastage as a means to discover causes of procedural inefficiencies in the BTS.
Peningkatan Kapasitas Literasi Melalui Budaya Baca dan Pengembangan Karakter di Dusun Coci Desa Banua Adolang Kecamatan Pamboang Kabupaten Majene Provinsi Sulawesi Barat

A person's literacy level can be assessed through personal characteristics which are horizontally very closely related. A person's insight, mentality, and behavior are strongly influenced by interests and tendencies in reading books. Since 75 years of Indonesia's independence, the literacy rate in Indonesia is still in the low category. This is strongly influenced by various factors, one of which is the availability of reading materials and literacy facilities. This problem should not be allowed to drag on, it needs serious attention from the government, academics, and education leaders. The discourse on improving reading culture has become a central issue in developing the human resource capacity to produce Indonesian people with character. The development of Indonesian human character is highly dependent on reading culture. The attachment between reading culture and the development of Indonesian human character is expected to have implications for the quality of advanced and modern Indonesian people.
Efektifitas model pembelajaran flipped classroom berbasis youtube sebagai media pembelajaran Stilistika pascapandemi covid-19

This study tries to capture the adequacy of the use of the YouTube-based flipped classroom learning model for the Stylistics course for students of the Indonesian Language and Literature Education Study Program, FKIP University of Lampung after Covid-19. The methodology used is quantitative Pre-Experimental Design with one group pretest-posttest design. The results of this study were obtained by giving tests of the evaluation results of stylistics courses in the form of pretest and posttest. The researcher found that the impact of the ability of students of the Indonesian Language and Literature Education Study Program FKIP University of Lampung had a large increase in pre-test and post-test scores. This is indicated by the pretest value of 48.44 and the normal post-test of 67.19. In addition, it was observed that the significance value (2 tailed) was 0.000. This means that the impact is very important because 0.000 is less than 0.05 (0.000.05). This means that H0 is rejected while H1 is recognized that there is an important influence on the use of the YouTube-based flipped classroom model on students' ability to understand Stylistic material.