Reviewerly/exHarmony huggingface dataset:
The Gap and Convergence of Historiography and Classical Literature

본 글은 역사와 문학의 자료에 대한 경계와 간극을 실록을 중심으로 정리하고, 자료에 대한 역사와 문학의 시각 차이를 사행기록 중심으로 정리하고, 역사와 문학의 융합을 외교문서와 전쟁경험 이후 내용과 범위변화를 중심으로 살펴봤다. 본 글은 시론적인 글이란 한계가 있다. 역사의 사실과 문학의 미학은 공통된 자료인 역사기록은 문학작품이기도 하다. 이런 점은 조선왕조실록, 사행기록, 외교문서 등에서 확인된다. 일면 역사의 사실과 문학의 미학은 간극이면서도 융합의 성격을 가진다. 역사의 사실과 문학의 미학을 분리하여 바라보는 관점을 버린다면 어떠한 새로운 학문의 가치를 창출할 수 있다는 기대를 가져본다. 역사의 본질인 사실을 중심에 두고, 역사를 경험한 인간이 기억하고 전승하는 문학은 분리적인 개념 내지 학문으로 바라볼 필요가 없다. 사실을 확인하여 역사를 복원하는 것이 역사학의 본질이 아니듯이 허구의 미학을 재구성하는 것이 고전문학의 본질이 아니다. 정작 중요한 점은 역사를 살아간 인간, 그 인간이 인식하고 펼친 활동을 분석하여 역사담론과 역사지식을 정리하는 점도 중요하다. 이를 통해 현재의 문제의식을 도출하여 미래의 역사지향을 제시할 수 있기 때문이다. 또한, 역사와 문학의 중심에 인간이 있다는 점은 역사학과 고전문학의 융합이 가능한 점이다. 역사학과 고전문학의 융합을 위한 학제간 공동연구가 필요하며, 무엇보다 자료의 발굴 및 정리작업이 선행되어야 한다. This article summarizes the boundaries and gaps between history and literary materials, focusing on the annals(實錄), and the difference between history and literature in terms of data is summarized based on the envoy records, the convergence of history and literature was examined focusing on changes in content and scope after diplomatic documents and war experiences. This article has a limitation in that it is the first article presented. Historical records, which are common data in the facts of history and the aesthetics of literature, are also literary works. This is confirmed in the Annals of the Joseon Dynasty, envoy records, and diplomatic documents. The facts of history and the aesthetics of literature have the character of convergence while being a gap. If it throw away the perspective of looking at the facts of history and the aesthetics of literature separately, it has an expectation that we can create some new academic value. There is no need to view literature as a separate concept or study, centered on the facts, the essence of history, and memorized and handed down by people who have experienced history. What is really important is to organize historical discourse and historical knowledge by analyzing the human beings who have lived through history and the activities they have recognized and unfolded.
AML/CFT and Cybersecurity Laws in India

The Prevention of Money Laundering Act 2002 coupled with the rules issued under it and the rules and regulations formed by regulators such as the Reserve Bank of India (RBI) and the Securities and Exchange Board of India (SEBI) displays a broad framework for the anti-money laundering laws in India. Cybercrimes are covered by the Information Technology Act, 2000 and the Indian Penal Code, 1860. It is the Information Technology Act, 2000, which deals with issues related to cybercrimes and electronic commerce.
Proposal for cultivating intercultural competence through analysis of university subjects and teaching methods – Focusing on C University"s liberal arts subject &lt;Thematic Travel in Chinese Culture&gt;

본 연구에서는 ‘한국-중국’ 간 상호문화이해 능력 함양을 목표로 하는 대학교 과목을 일례로 들어 그 현황을 세밀히 분석하고, 추후 연구범위를 보다 확장하여 관련 교과목개발 연구에 기초 자료로 활용하고자 한다. 중국은 유사 이래 세계 어디보다도 우리나라와 오랜 기간 긴밀한 관계에 놓여있는 나라이다. 그럼에도 불구하고 근래 ‘반중,’ 나아가 ‘혐중’ 정서가 편향적으로 치솟고 있으며, 그 중에서도 ‘MZ세대’라 불리는 젊은 층의 반감이 매우 심한 편이다. 이는 한-중간상호문화이해를 위한 노력을 통해 어느 정도 극복할 수 있고, 또 극복해야 할 과제이기도 하다. 이에 본고에서는 2011년부터 2022년 현재까지 지속되고 있는 C대학교양 과목인 <중국테마기행>의 12년간 강의계획서 가운데 수업 목표, 수업 내용, 수업 콘텐츠, 과제 및 체험 활동 등을 분석하고, 교수-학생강의평가(CQI)와 교수자들을 대상으로 한 심층 서면 인터뷰의 분석 결과를 제시하고자 한다. 이를 통해 한-중 상호문화이해 능력 함양을 위한 교수 방법 및 방향성에 대한 제언을 도출할 수 있을 것이다. In this study, we take a university subject that aims to foster mutual cultural understanding between ‘Korea and China’ as an example, analyze the current situation in detail, and expand the scope of future research to use it as basic data for developing related subjects. China is a country that has been in close relationship with Korea for a long time than anywhere else in the world since the beginning of history. Nevertheless, ‘anti-Chinese’ and even ‘hatred’ sentiments have been soaring biasedly recently, and among them, the antipathy of the younger generation, called the ‘MZ generation,’ is very severe. This can and should be overcome to some extent through efforts for mutual cultural understanding between Korea and China. Accordingly, in this paper, among the 12-year syllabus of , a liberal arts course at C University that lasted from 2011 to 2022, we analyzed the class goals, class contents, class contents, assignments, and experience activities, and I would like to present the analysis results of CQI and in-depth written interviews with instructors. Through this, it will be possible to derive suggestions for teaching methods and directions for fostering mutual cultural understanding between Korea and China.
The hazard of earthquake and solution directions

Seismicity is a complex natural phenomenon that has not been able to accurately predict the time, place, and intensity of earthquake, let alone prevent it from happening. The prevention and control of earthquake disaster risk is a very comprehensive work, involving basic investigation and detection, scientific understanding and modeling in various evaluation links, seamless connection between various investigation, evaluation and evaluation products, and relevant governance measures. It involves a wide range of disciplines such as geoscience, engineering science, management science, social behavior, which requires scientific research institutions, professional departments, and governments at all levels. Only when social organizations form a joint force, they can produce effective results in reducing losses caused by earthquake disasters. In this academic paper, some kinds of earthquakes, as well as many hazards of earthquakes, are discussed. It also focuses on some effective measures and solutions for earthquake prevention. These measures can effectively alleviate the damage caused by earthquakes in the future.
Pembuatan Dashboard Registrasi Siswa Baru Sekolah SMA YPPK Asisi Sentani Menggunakan Metode User Centered Design

Yppk Assisi Sentani High School is one of the senior high schools located in Sentani City, Jayapura Regency. The registration system used for prospective newstudents is still manual until now. Where when registering, prospective new students are still required to come to the school directly. On the other hand, Jayapura district already has an internet connection that is quite good for accessing websites, especially in the city of Sentani, where Yppk Assisi Sentani High School is located. Based on the problems encountered, I as the author tried to help the process of accepting new students by creating a registration dashboard interface for SMA Yppk Assisi Sentani using the User Centered Design (UCD) method. In addition, testing will be carried out using the Usability Testing and System Usability Scale (SUS) methods. The satisfaction test that has been carried out on users using SUS shows an average percentage of 80 for admins andteachers while for students the average obtained is 73. Therefore, it can be concluded that the registration dashboard of Yppk Assisi Sentani High School is well received. The registration dashboard interface for SMA Yppk Assisi Sentani is expected to be useful for prospective students who will register, because newprospective students can register from anywhere without having to come to school so that it will save time and be more efficient.
The Practicality of Interactive Learning Media Based on Android Applications in the Concept of Human Respiratory System for High School

An important source of learning in the millennial era is interactive learning media that can be accessed via smartphones. Development research that produces a practical Android learning media. This type of research was adapted from Tessmer's design, through initial preparation (preparation) and formative evaluation (formative evaluation). The practicality of the contents of 5 students of class XI MIPA 2 through individual tests. The subject of practicality is the expectation of 9 students of Class XI MIPA 2 through a small group test. Data obtained from research instruments consisted practicality of contents, and practicality of expectations. The technique of approving data uses approved sheets. Practicality based on the Akbar &amp; Sriwiyana category (2010). This media obtained practicality of contents 88.00%, and practicality of expectations 96.30%, so that it was included in the category of very practical
Design of a Wideband Frequency Agile Synthesizer

This paper introduces an design of frequency agile synthesizer which combines the direct frequency synthesis technology of analog and digital methods. Firstly, the DDS generates a low frequency signal which has low phase noise and fast frequency switching time, and then the harmonic generators provide the high frequency local oscillator signals to mix with the output of DDS, which realize the signal spectrum shifting and band broadening. Finally it generates a fast-switching signal with the bandwidth of 14~20GHz, frequency step of 0.5MHz, switching time less than 150ns, phase noise better than −100dBc /Hz@1kHz, and the spurious suppression better than −65dBc.
The Most Common Control Deficiencies in CMMC non-compliant DoD contractors

As cyber threats become highly damaging and complex, a new cybersecurity compliance certification model has been developed by the Department of Defense (DoD) to secure its Defense Industrial Base (DIB), and communication with its private partners. These partners or contractors are obligated by the Defense Federal Acquisition Regulations (DFARS) to be compliant with the latest standards in computer and data security. The Cybersecurity Maturity Model Certification (CMMC), and it is built upon existing DFARS 252.204-7012 and the NIST SP 800–171 controls. As of 2020, the DoD has incorporated DFARS and the National Institute of Standards and Technology (NIST) recommended security practices into what is now the CMMC. This paper presents the most commonly identified Security-Control-Deficiencies (SCD) faced, the attacks mitigated by addressing these SCD, and remediations applied to 127 DoD contractors in order to bring them into compliance with the CMMC guidelines. An analysis is done on what vulnerabilities are most prominent in the companies, and remediations applied to ensure these vulnerabilities are better avoided and the DoD supply-chain is more secure from attacks.
Feasibility Study of Using the Technologies of the 4th Industrial Revolution to Manage Surface Water Collection Canals (Case Study of Tehran)

The advancement of technology in the field of IoT and the fourth industrial revolution, along with the development of the Internet, have provided their use to simplify and increase the accuracy of work in better operation and management in the maintenance of buried and open water canals.In this study, first, the use of this type of technology in open canals is investigated, and then suggestions for the management of buried channels are presented.Concerning buried canals, due to the environmental conditions of these types of canals, the available tools are not able to easily scan the canals, and the management of these types of canals could sometimes be tricky.In this study, for buried canals, research has been done on the construction of a mechanical device that can be used by the technologies of the fourth industrial revolution to enable the management and control of buried canals remotely.After fabricating and performing tests on the device made in the prototype and a small sample, studies showed that this device can move and scan all surfaces effortlessly inside this type of canal.This operator is able to detect anomalies and sediments accumulated in the canals in order to adopt the best way to repair and maintain the canal and prevent possible future events.
Hubungan Kesiapsiagaan Remaja Dengan Keterampilan Menghadapi Bencana Banjir di Desa Padas Kecamatan Tanon, Kabupaten Sragen

&#x0D; &#x0D; &#x0D; &#x0D; Background: The World Health Organization (WHO) conveys that a disaster in English is understood as a disaster is any event that causes damage, loss of human life. The territory of Indonesia is located in a tropical climate area with two seasons, namely the dry season and the rainy season. The National Disaster Management Agency (BNPB) recorded that 424 disaster events occurred in Indonesia in November 2019 and these events were domiciled by floods. Floods have also caused hundreds of houses to be submerged, thousands of hectares of agricultural area. From the data collected, there are 842 hectares of submerged agricultural area. The water level in the agricultural area reaches more than two meters, resulting in hundreds of hectares of land like a sea of ​​water. Objective: to analyze the relationship between adolescent preparedness and skills in dealing with floods in Padas Village, Tanon District, Sragen Regency. Methods: this study uses a quantitative method that is analytic survey. Sampling using purposive sampling technique with a total sample of 68 respondents. Analysis of the data used in this study in the form of bivariate analysis using the Chi-Square test. Results: the results of the Chi-Square test obtained a p-value of 0.002 &lt; (0.05) so that there is a relationship between adolescent preparedness and skills in dealing with floods in Padas Village, Tanon District, Sragen Regency. Conclusion: There is a relationship between adolescent preparedness and skills facing flood disaster in Padas Village, Tanon District, Sragen Regency.&#x0D; &#x0D; &#x0D; &#x0D;
Deep Learning Orientation of Melanoma Detection Using CNN

Despite being the least prevalent type of skin disease, melanoma, is the deadliest and also is responsible for numerous fatalities. A recent study found that 3.1M people had this, causing 59,800 fatalities. To prevent these infections from spreading, it is crucial to recognize them early on. Manually detecting skin disorders can be challenging due to the wide variety of them. The term "artificial dermatologist" refers to a system that uses deep learning methods to identify skin conditions without the use of diagnostic tests. Here, by employing EfficientNet-B6 which is a convolutional neural architecture to analyze skin lesion images, which can capture more fine-grained information, we acquire an accurate result in the identification of skin cancer. An extensive dataset created by ISIC 2020 served as the basis for the experimental evaluations.
Machine Learning for Industrial Internet of Things

Machine learning is now a popular practise in a variety of fields and has permeated our daily lives. These approaches have been used in various fields, and their use is constantly growing. These methods are particularly important for supporting Industry 4.0 and IoT situations. Many of the algorithmic findings, however, cannot be comprehended or justified in terms of how or why a particular choice was taken. Few studies have been generated regarding the end-user perspective, despite the fact that a number of strategies and approaches have evolved in recent years as a result of the advancement of machine learning research. Therefore, the main barrier to the adoption of these applications is the lack of interpretability in this technology. Machine learning has a broad field called anomaly detection, which has a lot of applications in the sphere of industry. In reality, it is crucial for many different things, including quality control and preventative measures. The advantage of this strategy is that it may be applied without the need for labelled data, but it seems strange not to have labelled data in this kind of framework where the data is frequently "dirty." Obviously, the interpretability issue that the entire family faces also affects this final application.
A Named Entity Recognition Model for Manufacturing Process Based on the BERT Language Model Scheme

Industry 4.0 has put robotics on the forefront of manufacturing process, assistive healthcare etc. Robots are now involved in many aspect of life and therefore it is very important to keep them working all the time. Maintaining and repairing these robots requires highly skilled manpower, to overcome the scarcity of skilled resources we aimed to develop a knowledge base system/intelligent machine that are aware of manufacturing process/machine and thus can help to overcome failure causes or help in repairing. First step in this direction is to transform vast knowledge present in Natural language to a form that is understandable to machine. One way to achieve this goal is by representing language using a logic formula that machines can interpret, like the Resource Description Framework (RDF). The essential component for such representation is to identify entities and the relationship between them. This research focuses on developing an artificial intelligent (AI) model for identifying manufacturing entities from raw text using the Bidirectional Encoder Representation from Transformer (BERT) language model. We fine-tuned different pre-trained models of BERT to achieve improved performance in identifying named entities.
Localising the Mozilla Common Voice platform for South Africa’s official languages

Despite many attempts to address the situation, South Africa's official languages remain under-resourced in terms of the text and speech data required to implement state-of-the-art language technology. To ensure that no language is left behind, resource development should remain a priority until a strong digital presence has been established for all indigenous languages. This paper provides an overview of previous projects that were specifically aimed at speech resource development and introduces an ongoing initiative to launch South Africa's languages on the Mozilla Common Voice platform.
Adaptive neural control for chaotic permanent magnet synchronous motor with asymmetric input saturation

Abstract This paper develops an adaptive neural control scheme for chaotic permanent magnet synchronous motor with asymmetric input saturation and full-state constraints. To solve the state constrain problem, a barrier Lyapunov function is introduced. Then, a sliding-mode differentiator is designed to avoid the “explosion of complexity” issue. A simulation example is given to verify the validity of the proposed scheme.
Intelligent Arabic letters speech recognition system based on mel frequency cepstral coefficients

&lt;span lang="EN-US"&gt;Speech recognition is one of the important applications of artificial intelligence (AI). Speech recognition aims to recognize spoken words regardless of who is speaking to them. The process of voice recognition involves extracting meaningful features from spoken words and then classifying these features into their classes. This paper presents a neural network classification system for Arabic letters. The paper will study the effect of changing the multi-layer perceptron (MLP) artificial neural network (ANN) properties to obtain an optimized performance. The proposed system consists of two main stages; first, the recorded spoken letters are transformed from the time domain into the frequency domain using fast Fourier transform (FFT), and features are extracted using mel frequency cepstral coefficients (MFCC). Second, the extracted features are then classified using the MLP ANN with back-propagation (BP) learning algorithm. The obtained results show that the proposed system along with the extracted features can classify Arabic spoken letters using two neural network hidden layers with an accuracy of around 86%.&lt;/span&gt;
Service R&amp;amp;D Status and Policy Demands of Innovative Manufacturing Firms in Korea

In order to establish effective policies, it is necessary to ascertain the status of service R&D in the manufacturing sector. We need to know which manufacturing firms participate in service R&D (service R&D participation), and which manufacturing firms make large investments in service R&D (service R&D investment). In addition, in order to establish a policy to revitalize service R&D at manufacturing firms, which is currently at a low level, it is necessary to understand what kind of support policies Korean manufacturing firms demand.Considering that, this study attempts to define the concept of service R&D in the manufacturing sector, and based on that, presents policy directions for revitalizing service R&D in manufacturing by identifying the status of service R&D and the policy demands of innovative manufacturing firms in Korea using survey data.Keywords: service industry; service R&D; R&D investment; innovation; innovation policy; service industry policy; industrial policy; manufacturing; manufacturing policy; manufacturing innovation; service innovation; manufacturing-service convergence; convergence policy
Research on Sheep Counting Algorithm Under Surveillance Video

Most sheep farms are established in places far away from urban areas, which inconveniences centralized management, and inventory information is an essential task for centralized management. Still, the traditional way of inventory management mainly uses manual statistics is time-consuming and laborious. To address the above problems, inspired by the crowd density counting model SFANet, we propose a sheep counting algorithm under surveillance video based on VGG16 as the frontend feature extractor and the backend as a dual-path multiscale fusion network for generating density maps and attention maps. Attaching ASPP module and CAN module to the back-end density map path not only extracts the multi-scale features of sheep in the image, but also handles their multi-scale variations based on contextual information. By adding the channel attention module SE to the attention map path, the SE channel attention mechanism enhances the channel where the sheep is located according to the importance of each feature channel, thereby making the network more focused on the target. The results show that the network has a mean absolute error of 1.28 and a mean square error of 1.70 under the outdoor sheep farm dataset, while the indoor environment is more complex with a mean absolute error of 5.82 and a mean square error of 7.36. The experimental results show that is helpful for sheep counting under surveillance video.
CPSOCKS: Cross-Platform Privacy Overlay Adapter Based on SOCKSv5 Protocol

In figures, the cybersecurity landscape is one of the most across-the-border impactable trends in the last years, especially after the begging of the COVID-19 pandemic. Therefore, by the end of Q4 of 2021, more than 281 million people have been victims of data breaches and cyber-threads, costing more than $42.96 million per day. A possible explanation is that most network operators do not provide any mechanism that blocks path tracing. Almost anybody with above-average network security knowledge can use public path tracing tools such as traceroute, enabling malicious users and thread factors to craft sophisticated cyber-attacks easily. Therefore, this paper proposes a cross-platform privacy overlay over the SOCKSv5 protocol. We evaluate the proposed solution in terms of latency, average throughput, and transfer rate.