Reviewerly/exHarmony huggingface dataset:
Performance Benchmarking and Optimization for IIoT-oriented Blockchain

The Industrial Internet of Things (IIoT) is profoundly changing the production mode, e.g., rail freight industry and medical industry, with the widespread applications of sensor technology and wireless network in the industrial field. However, traditional techniques can no longer meet the demand of future IIoT due to rapid data explosion and low data privacy. In this paper, we present a comprehensive benchmarking method with accurate metrics to quantize the blockchain performance. The results of our benchmarking indicate the low resource efficiency of the IIoT-oriented blockchain system. Moreover, the Proof-of-Work (PoW) mechanism is proved to be the reason for the poor performance. To address the shortcomings of blockchain, we optimized the original PoW mechanism, making it better support IIoT-oriented blockchain. Specifically, we introduce energy and confidence to reward nodes based on their behaviors, thereby improving the efficiency of the PoW. Moreover, we attend to the slow ledger synchronization and present a fast synchronization strategy, which is suitable for IIoT scenarios. Extensive performance evaluations demonstrate that our optimization proposals are effective in IIoT scenarios. This study serves as a guideline for deploying and improving the performance of blockchain in IIoT under various operating conditions.
Smart Security and Surveillance System in Laboratories Using Machine Learning

The paper proposes to design and develop a smart authentication system in laboratory as a part of security and surveillance. To address the unauthorized entry in the laboratory, a smart alert system is designed and developed. The authentic entry to any laboratory will reduce the student response to hazards and accidents, risks to acceptable levels. The proposed methodology uses face detection and recognition techniques for the student authentication. Based on the results, the attendance is updated in the attendance data base if the authorized users enter the laboratory else the details will be sent to the course instructors through the registered mails. The authentic student is also verified for wearing the personal protective equipment during the entry to the laboratory. By this, we can reduce the vandalism occurring in laboratories and maintain the integrity.
ANALISIS KONTEN MENGENAI PENDIDIKAN KARAKTER PADA BUKU MUHAMMAD TELADANKU SERI 2

Literacy culture is very important to be instilled at an early age. Children's reading books should be designed as attractive as possible with the aim of increasing children's reading interest and should containing character education and moral messages. However, at this time many children's books are circulating along with negative content such as violence, etc. This study aims to analyze the character education content contained in children's storybooks that could be used as a model of character education learning that could be done at home or at school. The method used in this study is a simple qualitative content analysis method with a descriptive approach. There are four stages in this study, namely determining objectives, specify the unit of content, locating relevant data, and analyzing the data. The method of data collection techniques used in this research is to examine and collect the values of character education contained in the book. The results of this study indicate that there are many values of character education and good examples in children's storybooks. It could be concluded that the story of Muhammad Teladanku book is worthy of being used as teaching material for character education in elementary school children.
Vehicle Surveillance from Video

Importance of data has increased dramatically in recent times. Companies are using the online data available to improve their products and data analysis. Traffic data of vehicles on road can be of great importance if they can be effectively retrieved from the videos. Contrary to normal data traffic data is the form of videos as a result immense amount of data is found in surveillance videos which goes unprocessed thus resulting in loss of information. Our project aims to provide an effective way to retrieve vehicle data from videos. This data includes the vehicle's license plate number, colour, manufacturer's name, and the time-stamp. This data can then be used for various purposes. This data will help to analyse the traffic on road at a much deeper level. This analysis will help to gain insights which will help improve the future of road transportation. Also, since the data is in a text form it will be much easier and faster to search or filter data. If required this filtered data can be correlated with video data. In the above process without the text data, one would have to scrub through the video files to reach a required point. Also, the data which is stored in the text form is of much less size than video files. Implementation of our project will help to create a smart traffic system. We retrieve the required information one at time. Firstly, the vehicle is detected with the help of YOLO (You Only Look Once). Then from the images of each vehicle required data is extracted. Firstly, the license plate of the vehicle is detected. With some pre-processing applied the license plate image is sent for OCR (Optical Character Recognition), which retrieves the text on the license plate. Then the vehicle's colour is extracted. Efforts are being made to remove environmental interference on the vehicle, so that the genuine colour of the vehicle is obtained. Also, the vehicles manufacturer is identified. As one can notice all the listed features (license plate, colour, manufacturer) are the primary attributes to identify a vehicle. Combinations of these attributes can be used to recover other required data about the vehicle. If speed detection of vehicles is done in an effective way, it will be possible to reduce speed violations. Thus, making the roads a much safer place.
Impact of the Application of Artificial Intelligence Technologies in a Content Management System of a Media

Nowadays, traditional media are experiencing a strong change. The collapse of advertising-based revenues on paper newspapers has forced publishers to concentrate efforts on optimizing the results of online newspapers published on the Web by improving content management systems. Moreover, if we put the focus on small or medium-sized media, we find the additional problem of the shortage of single users, very necessary to properly model recommendation systems that help increase the number of visits and advertising impacts. In this work, we present an approach for performing automatic recommendation form news in this hard context combining matrix factoring and semantic techniques. We have implemented our solution in a modular architecture design to give flexibility to the creation of elements that take advantage of these recommendations, and also with great monitoring possibilities. Experimental results in real environments are promising, improving outcomes regarding traffic redirection and clicks on ads.
Model-Free Counterfactual Credit Assignment

Credit assignment in reinforcement learning is the problem of measuring an action’s influence on future rewards. In particular, this requires separating \emph{skill} from \emph{luck}, ie. disentangling the effect of an action on rewards from that of external factors and subsequent actions. To achieve this, we adapt the notion of counterfactuals from causality theory to a model-free RL setup. The key idea is to condition value functions on \emph{future} events, by learning to extract relevant information from a trajectory. We then propose to use these as future-conditional baselines and critics in policy gradient algorithms and we develop a valid, practical variant with provably lower variance, while achieving unbiasedness by constraining the hindsight information not to contain information about the agent’s actions. We demonstrate the efficacy and validity of our algorithm on a number of illustrative problems.
Framework for Prioritizing Contact Tracing and Mass Testing of COVID-19 Using Graph Theory

Contact tracing has become one of the most useful tools for fighting the novel Corona Virus (COVID-19) pandemic worldwide. The underlining philosophy of contact tracing is determining people who have been in contact with infected persons and thus isolate them from becoming agents of onward transmission of the virus. Slow tracing of contacts and inconsistent or inaccurate information provided by patients usually leads to the spread of the virus along a trajectory at the healthcare systems' blindside. This has led to the proposal of app-based contact tracing solutions. This paper proposes an SQL-based framework that transforms simple interaction data entries into interaction graphs and applies graph theory to prioritize the contact tracing process. The framework returns nodes or individual IDs together with values called Risk_Points to enable individuals' selection for isolation and treatment. Results on simulated data show that the proposed framework can help slow the virus's rate of transmission.
Recursive Neighborhood Pooling for Graph Representation Learning

While massage passing based Graph Neural Networks (GNNs) have become increasingly popular architectures for learning with graphs, recent works have revealed important shortcomings in their expressive power. In response, several higher-order GNNs have been proposed, which substantially increase the expressive power, but at a large computational cost. Motivated by this gap, we introduce and analyze a new recursive pooling technique of local neighborhoods that allows different tradeoffs of computational cost and expressive power. First, we show that this model can count subgraphs of size k, and thereby overcomes a known limitation of low-order GNNs. Second, we prove that, in several cases, RNP-GNNs can greatly reduce computational complexity compared to the existing higher-order k-GNN and Local Relational Pooling (LRP) networks.
Improving EFL Undergraduate Students’ Speaking Proficiency Through YouTube-Based Videos

This study aims at presenting to what extent the use of YouTube-based videos can improve the students' speaking ability and describing the teaching and learning process when YouTubebased videos are implemented in the virtual EFL classroom. The subject of the study is the undergraduate students of management study major Faculty of Economics and Business, University of Serang Raya. Classroom action research design used in this study. The research data were collected through speaking assessment and interview. The findings revealed that there was an improvement in the students' speaking ability. Some aspects which are improved included students' fluency, vocabulary, pronunciation, grammar, and content. Furthermore, it can be concluded that the YouTube based videos is able to enhance effectively the undergraduate students’ speaking ability. With this language learning approach, it is hoped that it can also increase students’ motivation in learning English language. Keywords: YouTube-based Video, Speaking, Undergraduate Students.
Towards an agile approach for the management of changes

Construction projects deal with a lot of uncertainties in the design stage and therefore, changes in the design are sometimes unavoidable. There are various factors leading to design changes, however, the most frequent factor is the client. Clients often produce vague design briefs and as a result, design changes are expected at a later stage, leading to time and cost overruns as well as lower productivity. The objective of this research is to create a framework for design teams, in order to improve the management of changes initiated by the client in the design stage of a construction project. This objective is achieved thanks to the use of Agile Project Management (APM), which offers a proactive approach. The proposed Agile framework is validated on the basis of a single case study, and the findings of the validation show that the Agile framework offers benefits in terms of managing of client’s changes (e.g. potential for minimization of changes, improved visibility of changes, reduction of abortive work). However, there are also barriers that hinder the employment of the framework in practice, such as the contractual constraints and the number of stakeholders that have to be aligned with the proposed way of working. Further research should be conducted in order to investigate the real-world application of the framework.
INTERCULTURAL FRIENDSHIP IN DEVELOPING ENGLISH SKILLS OF COLLEGE STUDENTS

Currently developing English language skills can be done through any media, be it social media, application, even through friendships that have cultural differences. Based on this phenomenon, researchers are interested in finding out what abilities can be developed through this friendship.This study describes how college students develop their English language skills through intercultural friendship. The design of this study was qualitative using interviews and documentation as data sources. The object of this research is to find out what English language skills the college students have developed through this friendship.The results showed that the students experienced an increase in their English proficiency such as speaking fluently because they often had conversations with them, as well as listening to how they spoke. And some others feel they are more confident in speaking because of this friendship. Therefore, with this research, other students can make more friends with foreigners in order to develop their English language skills.
V-Lab vs Real Lab in Protein Content Test Experiments

This study aims to compared virtual lab with real lab. The experimental research design was used in this study. Compared two different treatments in the experiment testing the protein content in food materials. This study resulted in differences in results between laboratory trials by virtual lab procedures with virtual labs. This research was also conducted on real laboratories that produce differences (1) facts showed in virtual laboratories and real laboratories, (2) the process of changes that occur in experiments. The virtual lab can’t present all objects/event that appears in the real lab. In conclusion the real lab more potential to appeared concrete and relevant facts than virtual lab.
Architectural Visualization Using Virtual Reality: A User Experience in Simulating Buildings of a Community College in Bukidnon, Philippines

Purpose – The study aims to design and develop a virtual structural design that simulates the campus and its buildings of a community college in Bukidnon, Philippines through Virtual Reality. With the immersion of technology, this project represents the architectural design of the establishment with the use of Virtual Reality Technology.Method – The project uses a modified Iterative Development Model which is a guide for the design and development of the 3D Models and VR Application. TinkerCAD which is a web-based application has been used to design buildings on the other hand Unity is used to develop the structural designs of the buildings.Results – The respondents of this study are the Grade 12 Senior High students from the 4 schools which are geographically near to the college. With this study, the researchers were able to showcase its VR Application to the students and later evaluated using a System Usability Scale, a 10 item questionnaire measuring usability with an overall average of 90% or Point Score of 4.5 which is interpreted as excellent in a Likert table for descriptive interpretation. With the use of the VR application potential students of the college will be able to visualize and experience the present structures of the college without being physically present in the area.Conclusion – In this paper, the buildings and structures of NBCC were designed and developed through a Virtual Reality Platform allowing students from different secondary schools that are geographically near to the college to experience the feeling to be in the school without being able to set a step in physically. Using VR Gadgets in navigating buildings is still new from the community which makes the VR application a hit to those who use it. The Application was evaluated personally by every student from different schools and rated excellent. With this advancement of technologies, VR plays a vital part in allowing people to see what's inside the building and navigate around it without being physically present in the place.Recommendations – This study is limited only to simulating the architectural buildings of a community college in northern Bukidnon Philippines and currently has no controllers used and no sound effects. The researchers recommend continuing to improve and developing the project since the school buildings expand every year, adding details to every room, including furniture, add doors to the rooms, landscapes, mini-map UI and improve the landform to be more realistic.Research Implications – The study enabled viewing and designing of school structures using the technology of Virtual Reality. With this study, future development of the college in terms of structural design will be easier to visualize.
QA System: Business Intelligence in Healthcare

Nowadays, Question Answering (QA) systems are used as an automated assistant system for resolving queries in various messaging applications. Accessing a database to get specific information can be stressful and time-consuming if one does not have the much needed technical skills. Designing a QA system/chatbot that can generate the result by accessing the database dynamically has linguistic and design challenges. In this work, we present a medical domain-specific QA system, which can provide real-time response to any employee’s standard business queries in a healthcare company by removing unwanted dependencies on the analytics team. The QA system uses Natural Language Processing (NLP) and Deep Learning (DL) techniques for Named Entity Recognition and text pre-processing, etc. The higher precision value achieved during pilot evaluation has shown how effective our proposed system is for the medical domain question answering system.
테러의 변화양상을 반영한 테러 개념의 재정의

Terrorism is evolving and changing with the times. It is carried out using new means of terrorism, reflecting the science technology, communication technology and culture. In the face of the recently changed terrorism, a new terrorist entity has emerged. A homegrown terrorist(lone-wolf), who did not belong to any terrorist organization but learned on his own to become a terrorist, new internationally unspecified terrorist group have act. The target of terrorist attacks has changed from hard targets such as national government agencies and major facilities to soft targets such as civilians, private facilities and multiple locations. It is operating using various means of terrorism such as cyberspace, drones, bio-weapon to conduct terrorism to target people or facilities. But the Anti-terrorism Act does not reflect this changes. Under the Anti-Terrorism Act, the targets are limited to the state, local governments and foreign governments. And there is no stipulation at all about the subject of terrorism, so it is not clear who the terrorist is. In addition, terrorist acts and means are stipulated in the list of acts and means for people, aircraft, ships, explosives and nuclear materials. If terrorism is carried out using new means other than those prescribed, it is not an act of terrorism under the Anti-Terrorism Act. In this thesis, the concept of terrorism was redefined under the Anti-Terrorism Act, which reflected the recent changes. First, individuals or organizations were specified so that they could include homegrown terrorists and new terrorist groups, reflecting the emergence and activities of new terrorist entities. Second, the unspecified majority were included in the targets, reflecting the change from hard targets to soft targets. Third, it proposed the provisions of cyber, drone, bio terrorism in terrorist acts, reflecting terrorist activities using various means. Terrorism will continue to evolve and change. No one can predict what it will look like and what means it will use to commit terrorism. These changes may not be reflected in the Anti-Terrorism Act at any time. But we have to try to prevent and respond to terrorism as much as possible, reflecting the changes.
Efficacy of manual and digital contact tracing of COVID-19

Background: The unprecedented situation unfolded by the COVID-19 pandemic needs tools and measures of varying degrees Contact tracing is one of them Contact tracing has become buzz word these days Along with non-pharmacological interventions (NPI) this is one of the major tools employed by the local health care authorities Summary: The contact tracing measure is major part of the response against COVID-19 pandemic Methods of contact tracing and its efficient way to carry them out needs to be studied The efficacy of the contact tracing mechanism needs strong backing of empirical data upon which research is ongoing Further combining the manual and digital contact tracing is the option authorities needs to check out Health care human resource crunch can be addressed by creating civilian vigilantes to inform the health authorities about the possible suspected case In case of digital tracing the data minimization and anonymizing the data in which there is no name attached with the particular data can used so that doubts about data privacy should get vanished Balancing between controlling case fatality rate and infection rate with the help of proper and adequate resourceful data is the key to effectively control the spread along with easing of restriction and step towards normalization of lives Conclusion: More thorough study is needed with numerical data backing to establish the efficacy and the relation between controlling the case count and contact tracing © 2021, Institute of Medico-Legal Publications All rights reserved
PEMANFAATAN DATA MINING CLUSTERING DALAM PENENTUAN MEDIA PROMOSI UMKM DI KOTA BATAM

The more advanced technology, many things can be done by society. The most widely accessed today is social media. At this time, many UMKM are starting to promote their business on social media. However, with so many kinds of social media, UMKM have difficulty in determining which social media is the most frequently accessed by the public. So, in this final project, the writer is interested in researching the most demanded promotional media by using one of the methods from data mining technique specifically algorithm clustering K-means method. Algorithm clustering K-means can help the writer to group the promotional media that is most demanded by people in Batam City especially those in Batam Kota district based on respondent data from distributing questionnaires that have been done by the writer. There will be 3 categories in the final result that are the most demanded, less demanded and least demanded. And to get these result, manual calculations will be done by clustering K-means method and verification using Rapidminer 5.3 software.