Reviewerly/exHarmony huggingface dataset:
Bringing Artificial Intelligent to Jakarta Monitoring Covid-19 Outbreak

Abstract SARS-CoV-2 has been named as the cause of coronavirus disease (COVID-19) The Government of Jakarta reported 47.796 cases, 35.431 of those who got infected already recovered while 1.318 died. The Jakarta government has provided a particular website as a media for delivering Covid-19 information in a fast and updated dynamically. The government provides various information with features that make it easier for the public to read and understand the extent to which the Covids-19 pandemic. This study adopted an exploratory data analysis (EDA) approach to qualitative research. Data was analyzed by classifying topics that are relevant to the information layout. Data reduction is defined as the collection process, focusing on what is appropriate to the research objectives. The finding was analyzed Covid-19 pandemic in Jakarta has infected 43,709 people and killed 1,219 in Jakarta. Data on patients who were cured and those who were infected are displayed on the Jakarta government’s website. The cure rate for Jakarta’s patients and national mortality data continues to increase. Jakarta has contributed 34% of the cure for national data. Optimization seeks to promote public access to the Jakarta Government. Data displayed can detect the number of positive active patient cases.
Interaction Design Patterns for International Data Space-Based Ecosystems

The International Data Space (IDS) is a new type of concept for the economy to provide a global virtual data room. In this, economically critical and high-risk tasks are executed by human users. This paper deals with the question of how to integrate the requirements of the participants into the IDS and which novel approaches and methods can be used to develop UI Interaction Design Patterns (IDP) for novel technologies with unknown users and tasks.
Ramon Llull and Lullism

The Majorcan Ramon Llull (1232–1316) was the most prolific and original lay theologian and philosopher of the European Middle Ages. He devoted his entire adult life to perfecting a so-called “Great Universal Art”, an idiosyncratic system for demonstrating the truth of Christian doctrine to all unbelievers, especially the Jews and Muslims whom he knew well from his own experience in thirteenth-century Aragon. He eventually produced some 300 writings, in Latin and his native Catalan, devoted to expounding his Great Universal Art and to popularizing Christian theology. To promote his methods and goals, Llull traveled constantly in Western Europe, seeking support from princes, popes, influential lay patrons, and academic audiences; he also made several missionary journeys to North Africa and the Eastern Mediterranean, trying to apply his system in practice. Llull’s Great Universal Art attracted scant support or notice during his own lifetime, but attention to his methods and goals slowly grew, especially among learned laypeople and heterodox academic audiences. In the fifteenth century, interest in alternatives to established Scholastic doctrine led authorities as famous as Nicholas of Cusa to serious study of Llull’s system. By 1500, major centers of Lullist enthusiasts were active in Barcelona, Paris, and Northern Italy. This chapter describes, first, the unique features of Llull’s contribution to Western European medieval lay learning and piety, especially for vernacular readers in the Catalan-speaking territories of Iberia; and, second, how that contribution positioned Lullism to become, by 1500, one of the most popular philosophical currents in early modern Europe, a significant strand of Catholic spirituality in pre-Tridentine Spain, and the inspiration for many Spanish missionaries in the New World. It concludes with a list of suggestions regarding the areas of continued research required to produce the political, cultural, and social histories of Lullism that remain to be written.
BD-Print: An Android based for bilingual digital promotion of integrated tourism in Garut Selatan

Abstract South Garut has tourism potential areas in Indonesia. However, the lack of government attention and information of the tourist area in South Garut resulted a lack of tourists coming. South Garut tourism will be more accessible by developing an information system that implements the Android system as a promotional medium to introduce tourist objects. This study is undertaken to design an Android-based BD-Print application to assist the development of the regional potential tourism sector in the Southern Garut. The BD-Print system development will use the System Development Life Cycle approach with the Waterfall method. This application has gone through several process such as planning, system analyzing, crafting, implementation, testing and development. Result of the experiment are: 1) The application programs created by using Android run well. 2) The features existed in the application program runs well as the main menu displays other menu options, login menu, tourism menu that displays some options of available tourist destinations, and mapping that displays the route from the current location to the location of the object destination tours. 3) This BD-Print application suits well as a reference for tourists that are going on a vacation without being accompany by tour guide.
2D Image Stitching to Generate a Film of Fired Bullets

In forensic science, the identification of firearms used in a crime scene can be performed by studying the individual and class characteristics of the striation marks left on the surface of the fired bullets and cartridge cases. Each firearm has unique characteristics based on their manufacturing, especially the gun barrel which contains spiral patterns bored into it. When fired it engraves the patterns on the surface of the bullet by which identification of the firearm is possible. Firearm identification is done by ballistic experts in the laboratory by comparing the unique characteristics of the specimen (bullets or cartridges) in the crime scene, which is a time consuming process. For this purpose, an automated firearm identification system is the demand of time. In doing so, the 3D structure of the bullets always challenges their study. In this paper, an attempt has been made to generate a continuous film of bullets using image stitching technique, which can represent their 3D structure in a single image. This method can be used by ballistic experts to study the striations in just one unbroken image.
Generating Photo Captions for Instagram

This article describes a method for creating captions for images from the Instagram social network. The user adds his image and receives several captions. Unlike many similar approaches, this system does not create picture descriptions, but selects beautiful quotes from popular writers, philosophers and famous people. This system is based on a Convolutional Neural Network (CNN). A neural network is used to detect and classify objects in an image. Then, if objects in the picture are detected, several quotes with the most appropriate categories are selected for each object.
A distributed set-membership estimator for linear systems considering multi-hop subspace decomposition

This paper presents a distributed set-membership estimator for linear full-coupled systems affected by bounded disturbances. The estimator makes use of a recently developed multi-hop subspace decomposition of the system that allows to transform the dynamic matrix into an upper triangular matrix, decoupling the influence of the non-observable modes to the observable ones. This way, each agent has to compute sets to encompass the observable dynamics on the one hand, and the unobservable dynamics on the other. The sets are mathematically described by zonotopes. Due to the multi-hop decomposition, the agents are able to design different gains for the observable and the unobservable part, pursuing the reduction in volume of the corresponding sets. The paper presents the solution for the two-agents case. Simulations are given to compare the proposed solution with existing ones in the field.
Geological Field Mapping and Heavy Metals Assessment in Soils of Abandoned Mine Site in Dorowa, Northcentral Nigeria

Detailed geological mapping, petrographic description, and geochemical analysis were carried out to delineate variations in the rock types and their relationship with soil compositions in Dorowa, Barkin Ladi Local Government Area of Plateau State, Nigeria. The common rock types include hornblende-biotite-granite, biotite granite (medium to fine-grained), and pyroxene granite. The essential minerals identified by petrographic studies are quartz, plagioclase, biotite, hornblende, and pyroxene while zircon, magnetite, and ilmenite form part of the accessory minerals. The relative concentrations of heavy metals analyzed in the soils are in the order Fe > Cr > Ni > Pb > Cu > Zn > Br. The results show that soils near mineralized areas have anomalous concentrations of heavy metals. The implication of this is the increase of bio-availability and toxicity, which may lead to serious health and environmental consequences.
A Study of Student Learning Status Classification Based on the Detection of Key Objects within the Visual Field

In order to improve students' concentration in solitary learning, this paper proposes a method to detect students' learning status. The students are first photographed, and then a Faster RCNN model is used to classify the learning status of the students in the photos. In order to improve the classification accuracy, the system detects the 2D face key points and matches them with the 3D face model to calculate the head angle based on the conversion between coordinates to determine the visual field of the eyes. Based on the visual field, it is possible to detect key objects that students may be focusing on, such as books, computers, cell phones. Based on these key objects, it can improve the accuracy of classifying students' learning status. The system can better identify learning status and help guardians to manage the students.
Liminoid media: On the enduring significance of USB portable flash drives

This article draws on the findings of in-depth interviews with consumers of portable storage devices in Melbourne, Australia, to explore the enduring significance of Universal Serial Bus (USB) portable flash drives. In the article, we develop the concept of ‘liminoid media’ as a way of coming to terms with continued use, and complications of use. Our understanding of this term is inspired by the seminal anthropological writings of Victor Turner ( pace Arnold van Gennep), more recent scholarship applying liminality to media studies and debates within media theory concerning the status of old and new media (where it has been argued, among other things, that media are always in transition rather than part of a strict old–new binary). Against this backdrop, we employ ‘liminoid media’ as a way of making critical sense of the ‘betwixt and between’ status of USB portable flash drives – their ongoing ‘suspendedness’ – and the complicated tensions that characterise participant use of these devices. For our participants, USBs are understood as fulfilling a compromise between emergent practices of cloud computing and more established forms of centralised data storage; they are understood as temporary data storage devices that are often used in semi-permanent ways to protect against data loss; they are seen as ephemeral devices that are rarely disposed of. USBs are also ‘ritualised’ insofar as they frequently become intimate, aestheticised everyday objects; yet, accompanying this ritualised ‘suspendedness’ are certain forms of risk and danger – of obsolescence, of data loss, of device failure, and so on. USBs, in short, occupy an essential if complicated position in people’s contemporary data storage practices. Examining USBs, and the practices of use that surround them, we argue, provides insight into current (and always ongoing) changes in the media environment, and demonstrates the extent to which liminoid media are contemporary in use.
Multilevel bootstrap particle filter

We consider situations where the applicability of sequential Monte Carlo particle filters is compromised due to the expensive evaluation of the particle weights. To alleviate this problem, we propose a new particle filter algorithm based on the multilevel approach. We show that the resulting multilevel bootstrap particle filter (MLBPF) retains the strong law of large numbers as well as the central limit theorem of classical particle filters under mild conditions. Our numerical experiments demonstrate up to 85% reduction in computation time compared to the classical bootstrap particle filter, in certain settings. While it should be acknowledged that this reduction is highly application dependent, and a similar gain should not be expected for all applications across the board, we believe that this substantial improvement in certain settings makes MLBPF an important addition to the family of sequential Monte Carlo methods.
PELATIHAN TEKNOLOGI DESIGN DENGAN MENGGUNAKAN TOOL DESIGNER BAGI UKM GARMENT

Designer Training by Using Tools Designer for UKM Garment District of Batu Aji, Batam. ity of the garment industry in Batam is a particular concern of the Batam city government to prepare the skills of the workers and also the small garment industry players in order to face these challenges. Such conditions are of course ideal for increasing productivity and can market the results of garment production produced based on information technology and computers. In this service, the development of industrial / garment small businesses in the manufacture of fashion designs using a Canva as an alternative solution to replace the manual way in making fashion designs. Tool designer is a technology related to the use of computer systems to assist in the creation, modification, analysis, and optimization of designs. The tools used are canva online Software design  which has a function to facilitate the process of making clothes and can increase the satisfaction of consumers who order because it has the function of giving a real look of how the clothes to be designed look. So that making a design using a canva system certainly has advantages in accuracy, ease, suitability with results, costs and time produced
A Ciphertext Search Scheme with Traceable Results Based on Blockchain

With the explosive growth of data, more and more people choose to store data in the cloud. However, cloud data generally has a problem of data leakage, and the privacy of cloud data has become one of the main problems that plague people. The most leaked stage of privacy is the retrieval stage. The most commonly used solution is ciphertext retrieval, but in the process of ciphertext retrieval, the server, the data uploader, and the data user often cheat each other. Therefore, while ensuring data privacy, we must also eliminate mutual deception among the three. This paper proposes a ciphertext retrieval scheme based on blockchain. Verify the consistency of data during data transmission through a third-party trusted organization to eliminate mutual deception among the three. The blockchain enables the entities involved to reach a unanimous security consensus through smart contracts, thereby achieving fairness and security. Through the analysis of the performance of this scheme, it is proved that it is feasible to eliminate the deception of the three in the process of ciphertext retrieval.
A Look at Semantic Web Technology and the Potential Semantic Web Search in the Modern Era

The Semantic Web supports a set of technologies that exploit the standardization of the semantic representation of informational resources available on the web, representing the evolution of the current web. It provides a mechanism for formatting data in a machine-readable manner. Helping people in certain activities are done manually and end up consuming a lot of time in human daily life, linking individual properties of these data with globally accessible schemes. Since with so much information evolution in digital searches is inevitable, which with this technology provides ease and provides inferences about sates in scalable activities and modes. Therefore, this chapter aims to provide an overview of the semantic web and technology behind the semantic web search Engines, showing and approaching its success relation, with a concise bibliographic background, categorizing and synthesizing the potential of both technologies.
System Identification Using the Modeling through Iterative Smoothing Algorithm

In maritime applications, autonomous vehicles such as Unmanned Surface Vehicles (USVs) and Unmanned Underwater Vehicles (UUVs) are becoming increasingly prevalent for their utility in defense, science, and exploration. Key enablers of autonomy such as state-estimation, mapping, and control, rely on accurate dynamic models. In this paper, a System Identification algorithm is developed in which a model is iteratively trained using an optimal smoother to condition training data until smoothed data between iterations converges. This algorithm is named Modeling through Iterative Smoothing (MIS). MIS is validated using a simulated version of the WAM-V research platform as a case-study. MIS succeeds in reducing the error of noisy measurement data with respect to ground-truth and consequently results in an accurate dynamic model.
Sentiment Sentence Construction Algorithm of Newly-Coined Words and Emoticons Dictionary for Social Data Opinion Analysis

With the development of social networks, Social Network Services (SNS) has been populated. And people create newly-coined words and emoticons. Accordingly, the newly-coined word and emoticon of SNS show the social phenomenon of modern society. For social opinion analysis with SNS newly-coined words and emoticons, additional and continued sentiment proactive manual measures are required with a lot of time and money. It is necessary to make an objective decision when classifying the sentiment dictionary. This paper proposes a method for automatically constructing a newly-coined word and emoticon sentiment dictionary by extracting newly-coined words and emoticons from SNS reviews. In addition, the sentiment sentence is determined from the collected SNS reviews to automatically determine the polarity and intensity of newly-coined words and emoticons. Sentiment sentences contain newly-coined words and emoticons with strong polarity intensity, and mean sentences with strong polarity. The automatically constructed newly-coined word and emoticon sentiment dictionary proposed in this paper showed similar analysis accuracy compared to the existing manual construction method. As a result, this study can extract newly-coined words and emoticons in real time from trend-sensitive SNS and apply them to the sentiment dictionary to improve analysis accuracy.
Catalyst: Combining Co-training and Active Learning for Lifelong Classification

Modern supervised algorithms assume that the dataset used for training has the same distributions as the data to be processed. However, the real data is permanently changing. This leads to the gradual degradation of supervised machine learning algorithms in production systems and increases the cost of the maintaining. To solve this problem, we are focusing on domain adaptation of machine learning algorithms in lifelong manner. We assume that real unlabelled data come in continuously. For this setting we propose a method for detecting changes in data distributions, as well as updating supervised algorithms. The idea behind the method is to process a portion of the data and create a new labelled dataset for training a supervised model. The trained model becomes a part of the ensemble used for selecting a strategy to deal with new examples: assign the label automatically using co-training or manually with the aid of active learning. This method is independent of the specific architecture of the model and could be used with any modern supervised algorithms, including artificial neural networks. Our research also confirms two findings. First, adding small portion of data with reliable labels to a self-labelled dataset improves model's performance, even if this amount is small to build a model from scratch. It is also shown that accumulating domain knowledge by continuously adding new trained models to ensemble used for labelling, reduces the amount of labelled data required while maintaining the high performance of the adapted model.
Optimal Design of Work Quantification System

In view of the requirements of the correctness of quantitative results, the dynamic variety of quantitative rules and collaborative result recording in data management, the work quantification system is analyzed and optimized. The core module of the work quantification is designed by using the features of dynamic parsing script provided by JavaScript engine, and finally, a set of applicative, efficient, and expandable work quantification system is developed. The application of the system will bring convenience to all users due to its effective data management. In addition, easy access to the fast Internet makes the analysis and use of achievement data more efficient.
A Functionality Testing Method Based on Exploratory Testing for Android Mobile Apps

Abstract The research is based on the characteristics of mobile Applications (Apps), taking an Android mobile App of a small examination system as an application case, this study is devoted to exploring a feasible functionality testing method based on exploratory testing for Android mobile Apps, which includes fundamental functionality logic verification, Graphical User Interface (GUI) automated testing, and special testing. Furthermore, further work is put forward to apply this functionality testing method to IOS mobile Apps, adding new test items for mobile Apps and improving the method of depth-first search for control traversal in GUI automated testing.
NILAI PENDIDIKAN KARAKTER DAN KONFLIK BATIN TOKOH UTAMA PADA NOVEL SINAR KARANGAN AGUK IRAWAN MIZAN

Abstract The purpose of this study is to (1) Analyze the value of character education in the novel Sinar by Aguk Irawan Mizan's novel, (2) Analyze the inner conflict of the main characters in the novel Sinar by Aguk Irawan Mizan's novel and (3) Arrange the results of the study as literary reading material in high school. This research is a qualitative research with descriptive method and researchers as instruments. The value of character education is analyzed with the provisions of the Ministry of National Education that is limited to religious values, the value of hard work, the value of independence, the value of responsibility and the value of social care. Inner conflict was analyzed by Sigmund Freud's theory. Data were collected through the note-taking technique and then analyzed using the Miles and Huberman models. Its usefulness as reading material is known through interviews with three Indonesian language teachers and questionnaires for 32 students in SMA 4 Binjai. Based on the research, 33 values of character education were obtained which included five religious values, four values of hard work, twelve values of independence, eight values of responsibility and four values of social care. In addition, there are fifteen inner conflicts of the main characters in the novel. Based on the results of the interview it was concluded that the reading material in the form of enrichment books based on this study was appropriate to be used as a companion learning book and in accordance with the characteristics of high school students. The results of the questionnaire showed students' responses to reading material by 82.2% with very good criteria. Keywords: Value of Character Education, Inner Conflict, Novels, Reading Materials.