Reviewerly/exHarmony huggingface dataset:
Reading Church Women hybridity From the Perspective of Postcolonial Feminism

In this paper, I would like to criticize the view that tries to generalize Korean church women. I would like to do this from the point of view of Gayatry Spivak and Trinh T. Min-ha. Both theorists do not look at the female subject in common but try to imagine it in various and hybrid wys. Korean church women cannot be called Asian women or even European women because they resemble American Christianity in terms of Christianity, but belong to Asia in terms of race. Theology or sermons conducted in Korean churches are not for women’s equality and liberation. Rather, interpretations and contents that demand obedience from women are the main ones. Theology of Korea needs to be widened by gender sensitivity which addresses the issues related to ‘women and their lives.’ I believe Gayatri Spivak’ and Trinh T. Min-ha’s ideas can help expand the perspective of looking at church women. Church women are the majority of those who hold conservative views, but some young women and women have views that are different from traditional Christian positions if they are equipped with femininity. Therefore, in this article, I would like to briefly discuss how to listen to the voices of women in the church who have become more complex and diverse from the perspective of postcolonial women’s studies and through the voices of women in resistance.
Butsumyo(物名) and Korinshuchi(交隣須知), Korean Language Textbooks in Edo Period

This paper aims to illuminate the mutual response relationship between Korinshuchi (交隣須知), a Korean language study book in the Edo period, and Butsumyo (物名), a Korean lexicon compiled using it, and, in doing so, to reconstruct the production process of Butsumyo (物名). The result suggests that the existing Butsumyo (物名) is produced based on a new supplementary version of Korinshuchi (交隣須知), which is a further supplementation of the existing Shirozu-bon (the Shirozu edition) or Nagasaki-bon (the Nagasaki edition) of Korinshuchi (交隣須知). In addition, while Korinshuchi (交隣須知) is used as a Korean language textbook, it only contains the Korean text in Hangul accompanied by Japanese translations. This would have created a problem in learning Korean pronunciation. The existence of Butsumyo (物名), which collects Korean words from Korinshuchi (交隣須知) and records the pronunciation in Katakana (片仮名), may have been the result of an attempt to partially resolve such a problem. Accordingly, the value of Butsumyo (物 名) as a Korean language textbook should be re􏰀examined.
MAKING TEST SCHEDULE USING THE WELCH POWELL ALGORITHM

In the field of education, especially at the university level, there are problems that are often encountered, one of which is the system of making exam schedules. In the system of making course exam schedules, there is often an overlap between course schedules with one another. Examination scheduling should be made in such a way that there are no overlapping courses. Thus, all students can take the exam and there are no courses whose exams follow. In the case of the Even Semester Mid-Semester Examination schedule for the Informatics Study Program, there is an error in making the exam schedule, namely the existence of overlapping course exam schedules so that it can harm students who will take the exam. Therefore, it is necessary to improve the exam scheduling system. Making an exam schedule can be done using node coloring and the implementation of the Welch Powell algorithm. The application of vertex coloring on a graph is to represent each vertex with the name of the course listed on the exam schedule and continue by following the stages of the Welch Powell algorithm. The Welch Powell algorithm works by sorting the existing vertices based on the magnitude of the degree possessed by these vertices. Once sorted, the vertices with the largest will be colored and the vertices that are related to that vertex will not get the same color. This process will continue to repeat until all nodes have been colored, from these colored nodes to produce a schedule that does not overlap and is ready to use. Based on the results of the study, it was found that the Welch Powell Algorithm was able to produce an efficient schedule for the Mid-Event Semester Examination Program for the Informatics Study Program and the absence of courses collided with one another.
Pelatihan Dasar Teknologi Informasi Komputer bagi Pelajar Sekolah Dasar

One of the tangible manifestations of the Kebumen Nahdhlatul Ulama Ma'arif University (UMNUI) in carrying out community service is the Real Work Lecture (KKN). This Real Work Lecture (KKN) aims to improve students' abilities and insights as a provision for life in the community after graduating from study. In other words, this real work lecture activity is a place for students to help the process of developing villages and communities in the village environment. Based on observations in Kedaleman Wetan Village, Puring District, several problems were found. Seeing these situations and conditions, a KKN work program design was formed as an effort to deal with existing problems. In choosing a KKN work program, there are several things that need to be considered, including the following. 1) Community needs, 2) Knowledge and skills of students, 3) Available time, 4) Facilities and funds, and 5) Natural potential and its inhabitants Keywords: Lectures, Community Service
Flou: A Co-Compositional Attempt at Algorithmic Embodiment

My composition, Flou for solo violin, is an attempt at cocomposition between the composer and the performer at embodying otherwise unidiomatic machine-learning generated materials. The piece touches on a broader compositional problem where historically, when algorithms were used as a means in itself, composers were often faced with tensions between the algorithm, the composer, and the performer. To contextualize further, Cage, Xenakis, and Boulez each came up with their own algorithmic processes and dealt with these tensions differently. Upon scrutinizing these composers’ methods, I observe that these tensions are usually resolved by enabling agency for either side of the humans involved. As in, Boulez deviates from his algorithm to follow his compositional instincts, Cage creates indeterminate scores for performers to interpret, and Xenakis adds ‘human touches’ to his ‘incomplete’ algorithm. Considering these kinds of tensions, Flou uses an open score with only algorithmic pitch notated, which I ask to be played using an octave-lower scordatura. The open score affords the performer’s freedom to react to the instability of the scordatura in non-pitch ways, and it is this tantalizing physical attempt at trying to play the algorithmic pitch that foregrounds the performer’s bodily presence in the performance.
Training in the profile "Applied Informatics in the Humanities" at the Siberian Federal University: interdisciplinarity and project approach

The article considers the model of training specialists in applied informatics in the humanitarian field, developed at the Humanitarian Institute of the Siberian Federal University (Krasnoyarsk). The history of this training has been going on for almost a quarter of a century. Over the years, the program has changed its name more than once, and the curriculum has also changed in accordance with the requirements. The experience accumulated over a long enough period of time in training specialists of this profile is the subject of consideration in this article. The bachelor's and master's programs, education and activities of the Department of Information Technology in Creative and Cultural Industries, working as part of the Humanities Institute, are considered. Digital technologies continue to develop rapidly, and the number of people willing to master the difficult path of implementing applied informatics in the humanities is growing. Only in 2023, about 50 people have made final qualifying works for bachelors and masters degree at the Department of Information Technology in Creative and Cultural Industries. Each stage of the adjustment of the bachelor's and master's degree curriculum is dictated by a rapidly changing situation. At least two components remain indisputable: interdisciplinarity, which is the basis of educational programs, and a project approach, which assumes a clear statement of the problem and the use of adequate mechanisms for its solution using digital technologies.
The use of topic modeling to optimize the process of searching for relevant historical documents (on the example of the stock exchange press of the early 20th century)

The key task of the presented article is to test how we can analyze the information potential of a historical sources collection by using thematic modeling. Some modern collections of digitized historical materials number tens of thousands of documents, and at the level of an individual researcher, it is difficult to cover available funds. Following a number of researchers, we suggest that thematic modeling can become a convenient tool for preliminary assessment of the content of a collection of historical documents; can become a tool for selecting only those documents that contain information relevant to the research tasks. In our case, the Birzhevye Vedomosti newspaper was chosen as one of the main collection of historical documents. At this stage, we can confirm that in our study, the use of topic modeling proved to be a productive solution for optimizing the process of searching for historical documents in a large collection of digitized historical materials. At the same time, it should be emphasized that in our work topic modeling was used exclusively as an applied tool for primary assessment of the information potential of a documents collection through the analysis of selected topics. Our experience has shown that, at least for Birzhevye Vedomosti, topic modeling with LDA does not allow us to draw conclusions from the standpoint of our content analysis methodology. The data of our models are too fragmentary, it can only be used for the initial assessment of the topics describing the information contained in the source.
Lexical coherence in contemporary Italian: a lectometric analysis

Abstract This paper explores the theoretical question of linguistic coherence by investigating lexical variation in contemporary Italian. In order to tackle issues regarding the coherence of lexical choice, variation is investigated with methods from lexical lectometry, which approaches the structure of language varieties (i.e. lects) by studying aggregate-level lexical distances between them. Based on uniformity measures, as introduced by Geeraerts et al. (1999), we have calculated the internal and external uniformity of spoken and written traditional standard Italian (represented by the academic section of the CORIS corpus for written Italian and the formal parts of the KIP corpus for spoken Italian) and neo-standard Italian (represented by the ParlaTO corpus for spoken Italian and the newspaper section of the CORIS corpus). The results confirm the hypothesis that two standard norms coexist in contemporary Italian and that traditional standard Italian appears to be more coherent at the lexical level than neo-standard Italian. Yet the study also indicates that other forms of coherence exist in contemporary Italian, depending on the adopted theoretical and methodological framework.
Efficiency of artificial intelligence automatic control system and data processing unit based on edge computing technology

Abstract Edge computing gateway automation system is integrated in edge computing gateway. One of the main functions of edge computing system is to connect industrial instruments and communication equipment in the process of industrial production. It provides real-time data monitoring and analysis, and initiates responses to predetermined logical events. The operation process includes separating and designing different processes in a certain order. The production and processing process is susceptible to problems such as long production and processing cycles, multiple types of monitoring data, large amounts of processing data, and data vulnerability to external interference, which leads to inaccurate and unsynchronized data. Based on this, this article investigated the analysis of data processing systems based on cloud computing, focusing on analyzing the system architecture and processing, and elaborating the design of data collectors. Then, this article analyzed the efficiency of AI (artificial intelligence) automatic control system and data processing unit. This article discussed the application of AI in collecting and processing data, the composition of the data management module of AI automatic control system, and the data processing in the data module of AI automatic control system. This paper also described the construction method and process of the automatic control system of edge computing gateway, and discussed from the following aspects: data preprocessing module, data classification processing module, data accumulation analysis module, automatic control algorithm logic module, and instruction execution control module. Experiments and investigations showed that the accuracy of data analysis by using the new AI automatic control system and data processing system was 0.11 higher than that of traditional automatic control systems and data processing systems. The data processing effectiveness of the new AI automatic control system and data processing system was 0.10 higher than that of the traditional automatic control system and data processing system. By using AI technology and edge computing technology to structure the automatic control system and data processing system, a new AI automatic control system and data processing system were constructed, which were 9 % more satisfied than the traditional automatic control system and data processing system.
Systematization of the evaluation model of vocabulary control in repositories: research report with the Unesp Institutional Repository

Introduction: Vocabulary control in information resource storage, treatment and retrieval systems is necessary to obtain consistency between indexing and retrieval in order to avoid informational dispersion. Digital repositories in universities are currently fundamentalin the organization and management of knowledge generated by scientific, technological, artistic, and administrative production, however, it is necessary to verify the availability of controlled vocabulary and how vocabulary control is carried out. Objective: With the objective of systematizing a proposal for vocabulary control and the use of controlled vocabularies in university repositories managed by libraries, an evaluation model was developed that proposes to systematize methods, procedures, resources, and techniques. Methodology: For this, the development of the investigation carried out exploratory research with bibliographic and documentary research and applied research in the Unesp Repository. Results: The results obtained constituted an Action Plan, discussed and elaborated by the Study Group, composed of six actions and nine studies to evaluate and control vocabulary in university repositories about: vocabulary control in indexing by professionals and non-professionals; vocabulary control in retrieval; use of subject metadata from academic papers; keyword matching; analysis of terminological variations at semantic, syntactic and pragmatic levels; analysis of transaction logs for searches by subject. Conclusion: Itis concluded that the systematization of actions in an evaluation model is relevant for university repositories to incorporate the advances offered by vocabulary control in their routines and, mainly, for the contribution of new terms arising from scientific and technological evolution.
Witnesses

The practicalities of producing factual witness evidence, and the court’s views on witness training are discussed in this chapter. The role and duty of the expert witness, and the practicalities of instructing experts and producing expert evidence for IT disputes are also addressed.
Testing

This chapter outlines the ongoing testing process which occurs during the delivery of a technology project. It considers in particular whether software delivered by the supplier is subject to an implied term that it must be completely free of defects.
Research on Real-time Dynamic Object Detection Based on YOLOv3 Deep Learning Network

Based on YOLOv3 deep learning network, this paper aims to realize real-time dynamic target detection. Dynamic target detection is essential in applications, especially video surveillance and autonomous driving. However, target detection requires processing large amounts of image data, and conventional algorithms need help to meet real-time requirements. Therefore, deep learning technology has become practical for achieving real-time dynamic target detection. This article is divided into the following sections. First, it introduces the structure and principle of the YOLOv3 network, including multi-scale feature extraction, anchor frame design, NMS, and other technologies. Second, we propose optimization methods to meet the demand for real-time dynamic target detection, such as convolution-based cross-frame target tracking and deep learning-based image enhancement. Finally, experiments using standard datasets show the proposed method's performance and robustness in real-time dynamic target detection. To sum up, this article aims to explore solutions in real-time dynamic target detection and provide references for practice.
Individual Decision-making Expertise

This chapter discusses goals and obstacles in personal decision making and outlines specific actions to upgrade personal decision making in four distinct phases: perspectives, processes, positions, and evaluations.
Analysis and Development of Game-Theoretic Models for Combating Threats to Information Security in Critical Information Infrastructure

The work reviews key aspects of critical information infrastructure (CII) information security, including network security threats, cyberattacks, system vulnerabilities, and other factors that can damage the infrastructure. The paper applies game theory and modeling techniques to describe the strategic interaction between attackers and defenders in the CII context. Various game-theoretic models are considered to help assess and compare the effectiveness of strategies to counter information security threats. The models analyze the impact of various factors, such as cost of attack and protection, probability of detection and incident response, on the results of game-based interactions.
Networked multi-sensor rollator with AI-assisted fall detection

This contribution describes a networked and energy-autonomous rollator, primarily designed to increase the users safety. To achieve this, a multi-sensor approach is used to provide sufficient data for classification of activity patterns, detection of long term changes in agility as well as fall detection, supported by AI technology. For data economy, networking of the rollator in outdoor areas is limited to the transmission of emergency situations via mobile radio to inform caregivers. With the user's consent, analysis of medium-and long-term changes in movement and activity behaviour can also be transmitted as an option.
A time-weighted bitrate switching method in adaptive video streaming

Due to the popularity of mobile devices and the continuous improvement of the network, video traffic has grown exponentially in recent years. Dynamic adaptive transmission typically uses an adaptive bitrate (ABR) algorithm. The existing ABR algorithm dynamically selects the bitrate of each segment according to the perceived network capacity and buffer occupation, ignoring the user's current bitrate level and generating frequent bitrate switching. A time-weighted bitrate (TWBR)level calculation method is proposed, which obtains the bitrate level of the current user through long-short term cooperation of historical bitrate, so as to reduce frequent bitrate switching. In addition, the system dynamically selects the ABR policy corresponding to the network trend according to the elastic threshold, and realizes high-quality video playback through flexible threshold changes. Through simulation experiments, it is concluded that the TWBR algorithm has better video playback smoothness and higher video quality than the current popular ABR algorithm.
Object Detection Method Based on PVTv2

Ship detection is the first barrier to ensure the safe operation of ships, to ensure that there are no serious technical loopholes or safety problems in the process of navigation. With the progress of remote sensing technology, the use of deep learning as a method for target detection has become a hot topic. Compared with the traditional manual detection method, the target detection algorithm based on deep learning has the following advantages of no need for manual feature design, good feature expression ability and excellent detection accuracy. At present, most of the methods used for ship detection are traditional methods, which are not robust to illumination, morphological direction changes, occlusion and so on. In this paper, three improvements are made to solve the above problems. Firstly, Transformer backbone network — PVTv2 is adopted. PVTv2 uses convolution to extract local continuous features, position coding with zero-padding, and attention layer with linear complexity of mean pooling, which can extract features more fully. Then, the width and depth of the pvt are increased to further extract features; Finally, the Cutout technology is used, which can improve the robustness and overall performance of the convolutional neural network, and improve the generalization ability of the model. Experimental results show that, compared with the original model, the average accuracy mean (mAP) is improved by 4. 39% on the HRSC2016 dataset, the validity of the model is proved.
Power Grid Software Cost Estimation Based on Improved COCOMO Model

This paper introduces a power grid cost estimation system which can be used to purchase and price power grid software. First, a two-stage cost estimation model framework is introduced. The framework uses an improved COCOMO II model to estimate the total development effort. A Bayesian network model is used to estimate the total development cost. The model parameters of Bayesian network are defined and calibrated by taking the grid project as an example. A cost estimation system based on B/S structure is developed. Finally, the semi-detached maintenance schedule estimation formula and maintenance schedule curve are given. Experimental results show that this method can get a narrower interval with the same hit rate.
LoRa-based Human Activity Recognition Using Deep Learning

Wireless sensing combined with deep learning has become a research hotspot in recent years, but most of the existing work is limited by the sensing distance. The establishment of several sensing models in recent years has proven the long-distance sensing ability of LoRa devices, but there is still insufficient work on how to combine LoRa devices with deep learning. This paper analyzes the propagation and variation laws of LoRa signals affected by human activities, proposes a LoRa signal processing method to extract features suitable for deep learning networks. By comparing current advanced models with commonly used signal processing methods, the final result is good. For the types and roles of activities in one room, the accuracy exceeds 94%. Compared with common signal processing methods, it also saves space and time resources, which proves the effectiveness of the proposed method.