Reviewerly/exHarmony huggingface dataset:
Visual Instance Retrieval for Cultural Heritage Artifacts using Feature Pyramid Network

Digitized photographs are commonly employed by archaeologists to assist in uncovering ancient artefacts. However, locating a specific image within a vast collection remains a significant obstacle. The metadata associated with images is often sparse, marking keyword-based searches difficult. In this paper, we propose a new visual search method to improve retrieval performance by utilizing visual descriptors generated from a feature pyramid network. This network is a convolutional neural network (CNN) model that incorporates additional modules for feature extraction and enhancement. The first module encodes an image into regional features through spatial pyramid pooling, while the second module emphasizes distinctive spatial features. Additionally, we introduce a two-stage feature attention to enhance feature quality and a compact descriptor is then formed by aggregating these features for searching the image. We tested our proposed method on benchmark datasets and a public vast collection of Thailand’s ancient artefacts. Results from our experiments show that the proposed method achieves 77.9% of mean average precision, which outperforms existing CNN-based visual descriptors.
Digital Media Design as Information for Art and Cultural Community

Community is an association based on geographic location, similarity in cultural, ideological, socio-economic backgrounds and interest in the same object. One example is the regional community where this community is established because of the similarities in ideology and geographical location. In its development, regional communities have goals, one of which is to develop arts and culture in the area. The purpose of this research is to introduce the regional community in Indonesia, namely Jatiwangi Art Factory. Jatiwangi Art Factory is a cultural arts community that focuses on discussing local rural life. This community is active in activities with the surrounding community but does not provide information about the existence of the Jatiwangi Art Factory community to the community. Many people have participated in the events that this community holds, but the Indonesian people in particular are not familiar with this community. There needs to be an adjustment in communication between communities in delivering information so that this community can truly enter into the lives of the surrounding community. The results of this study are expected to be able to recognize the local community of art and local culture so as to create sustainability of the culture of the community itself. Through several stages of methods to produce information media works in digital form that can introduce the Jatiwangi Art Factory community.
Analytical Research of Music Elective Course Operation Status for Inter-School Joint Curriculum under the High School Credit System

본 연구는 고교학점제 시행에 따른 학교 간 공동교육과정의 음악 선택과목 개설 및 운영 현황 파악에 목적을 두었다. 2020년부터 2021년까지 학교 간 공동교육과정의 음악 선택과목 개설 수와 학교 수 추이, 음악 선택과목 및 과목 편제별, 시도별, 학교 특성별, 온⋅오프라인 유형별로 운영 현황을 조사 분석하였다. 그 결과, 학교 간 공동교육과정의 음악 선택과목 수는 전년도 보다 2021년에 증가하였고, 전문교과Ⅰ 편제의 전공 실기, 음악이론, 시창⋅청음, 공연 실습, 음악사 등이 개설된 것으로 나타났다. 시도별로 평균 3과목 정도 개설되었으나 편차가 컸고, 주로 학교 규모가 크거나 대도시에 위치하고 선도학교에서 온라인보다는 주로 오프라인 방식으로 개설되는 경우가 많았다.The purpose of this study was to identify the offering and operation of music elective courses in the inter-school joint curriculum according to the implementation of the high school credit system. In addition to the trend of opening music electives courses and the number of schools in the inter-school joint curriculum from 2020 to 2021, the operation status was analyzed by music electives courses, subject organization, city and province, school characteristics, and online and offline types. As a result, the number of music elective courses increased in 2021 compared to the previous year, and it was found that major practical skills, music theory, sight singing & ear training, performance practice, and music history classified as Specialized subjects I were established. The average number of courses opened by city and province was about 3 with a wide variation. Most of them were large-scale schools located in large cities, or designated as leading schools in an offline system.
A Phenomenological Study of Faculty Members’ Experiences with Online Instruction in Jazz and Commercial Music Departments: Focusing on Teaching Applied Lessons and Performance Classes

본 연구는 지난 몇 년간 실용음악학과 교수자들이 실시한 비대면 실기교육의 경험에 관한 현상학적 연구를 통해 해당 현상과 경험의 본질을 이해하는데 목적이 있다. 이를 위해 대학의 실용음악 관련학과에 출강 중인 교수자 9명을 연구 참여자로 선정하여 심층 면담하였고 현상학적 연구 방법을 통해 분석하였다. 자료를 분석하는데 있어서 스티비크-콜라이찌-킨의 방법을 사용하였고 3개의 범주와 9개의 주제를 도출하였다. 연구결과 교수자들은 코로나 시대를 맞아 불가피하게 비대면 실기 교육을 실시하게 됨으로써 당황함, 고민과 시행착오의 시간, 적응 단계를 거쳤으며, 이 과정에서 스스로의 성장을 목격한 이도 있었다. 또한 비대면 수업 방식의 용이함을 발견하는 반면 수업운영 전반에 있어 한계를 경험하였다. 따라서 실기 수업에 있어 대면 교육의 우수성을 재인식하면서 미래에 비대면 수업이 지속되기 위해서는 제도적, 기술적 지원이 필요하다고 보고하였다. 이 연구 결과를 바탕으로 본 연구에서는 연구 참여자들의 비대면 수업 경험 과정과 실용음악학과의 실기 분야에 있어 비대면 수업이 지니는 의미와 본질을 밝히고, 미래 수업 운영방식에 있어 토대가 되는 자료를 마련하였다.The purpose of this study was to understand the essence of teaching experiences of online applied lessons and performance classes in Jazz and Commercial Music Departments during the last few years. In-depth interviews were conducted with 9 research participants who were faculty members of Jazz and Commercial Music Departments in colleges, and phenomenological analysis was conducted. The data has been analyzed using Stevick- Colaizzi-Keen method, and three categories and nine themes were brought to conclusion. The analysis shows that participants had gone through stages of feeling awkward, trial and error, and adaptation to the forcibly implemented online instruction, while some others had experienced positive development as an instructor. The participants also had witnessed overall limitation of the method while benefiting from its convenience. Therefore, they recognized the effectiveness of face-to-face education in applied lessons and performance classes, and reported that the technical and institutional support were necessary in order for distance learning to succeed. Based on the results, this study exposed the process of participants experiencing online instruction as well as the meaning and the essence of performance-related courseds in Applied Music departments. Lastly, suggestions for the improvements in educational methods for the future of Jazz and Commercial Music Departments.
Forward Private Verifiable Dynamic Searchable Symmetric Encryption with Efficient Conjunctive Query

Dynamic searchable symmetric encryption (DSSE) allows efficient searches over encrypted databases and also supports clients in their updating of the data, such as those stored in a remote cloud server. However, recent attacks suggest the risk of leakage during such updates, which consequently impacts on the privacy of the queries. In addition, existing DSSE schemes that support forward privacy generally rely on the honest-but-curious server and support only single-keyword retrieval, which limits the application scenarios. In this paper, we present the design of a verifiable DSSE protocol, which supports efficient conjunctive query with forward privacy. In our scheme, the forward index is constructed by a novel form, i.e., <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$ t$</tex-math></inline-formula> -puncturable PRFs, and the authentication tag is designed by symmetric cryptography. During conjunctive queries, we narrow the scope by an inverted index, and then we determine the results of the final query through the forward index. Meanwhile, we can use verification tag to check the correctness and completeness of the result. In addition, we give an extension to support the backward privacy and our experimental evaluations show that our proposed approach achieves better performance on both conjunctive queries and updates than other competing solutions, and possesses efficient verification.
Region-Aware Portrait Retouching with Sparse Interactive Guidance

Portrait retouching aims to improve the aesthetic quality of input portrait photos and especially requires human-region priority. The deep learning-based methods largely elevate the retouching efficiency and provide promising retouched results. However, existing portrait retouching methods focus on automatic retouching, which treats all human-regions equally and ignores users' preferences for specific individuals, thus suffering from limited flexibility in interactive scenarios. In this work, we emphasize the importance of users' intents and explore the interactive portrait retouching task. Specifically, we propose a region-aware retouching framework with two branches: an automatic branch and an interactive branch. The automatic branch involves an encoding-decoding process, which searches region candidates and performs automatic region-aware retouching without user guidance. The interactive branch encodes sparse user guidance into a priority condition vector and modulates latent features with a region selection module to further emphasize the user-specified regions. Experimental results show that our interactive branch effectively captures users' intents and generalizes well to unseen scenes with sparse user guidance, while our automatic branch also outperforms the state-of-the-art retouching methods due to improved region-awareness.
A Dual-Channel Speech Encryption Scheme Based on Silicon Photonic Microcavity (SPM) Chaos and Dynamic DNA Encoding

We proposed a novel dual-channel speech encryption scheme based on silicon photonic microcavity (SPM) chaos. The encryption is divided into four parts: cross transform, cyclic shift, dynamic DNA encoding, and block-based DNA computing. The proposed scheme uses three sets of different control parameters, which were applied to the three different processes of the scheme, and the keyspace of the proposed scheme is 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">677</sup> . Additionally, a prominent feature of this scheme is that we used two channels of voice during confusion and diffusion. We evaluate the security of the algorithm through various performance indicators. The results show that the average value of unified average changing intensity (UACI) is 33.31%, the number of samples change rate (NSCR) is 99.9992%, and the correlation coefficient can reach 0.000141, which proves that the scheme has a strong ability to resist brute force attacks.
A Double-Layer Image Encryption Scheme Based on Silicon-Based Optical Chaos

Image encryption using chaos has been becoming a hot topic in recent years due to its pseudo-stochastic nature and sensitive to initial conditions. This article arises a double-layer image encryption technology using silicon-based optical chaos. Silicon-based optical chaos is four-dimensional dynamic chaos generated by silicon-based monolithic optomechanical oscillator, which has significant unpredictability and extremely complex chaotic behavior. In this article, using the silicon-based optical chaos(SBOC) and the second silicon-based optical chaos generated after reinjection into the oscillator to encrypt the image, so as to promote the encryption security. Meanwhile, using DNA Algorithm and Knuth algorithm to perform bit level processing on image pixels in the stage of image confusion and diffusion. Performance analysis results indicate that our proposed scheme is an efficient encryption and decryption process, with high enough key sensitivity, key space, and differential attack resistance.
Recognizing Automotive Ethernet Device by Extracting Fingerprint from Power Spectrum

With the development of modern cars, the auto-motive Ethernet has become a backbone network of the in-vehicle network in recent years. The open interfaces of the automotive Ethernet increase risk of being attacked. Device fingerprints identification can be used for the access authentication by utilizing the hardware characteristics of the devices. The signals are intertwined with random data from the both sides of communication which improves the difficulty of feature extraction in Ethernet devices. We propose a feature extraction method based on power spectrum for the 100BASE-T1, in which the feature can be utilized for the coupled signals and remove the influence of the random data. We built the automotive Ethernet device identification platform based on 100Base-T1 with 10 devices to be identified. According to the test, the recognition rate is above 95% when we take the average of 1000 segments' power spectrum with 1024 sample points.
Virtual Reality in Higher Education

This paper is a survey and talks about the well-being of using the VR era inside the higher excessive schooling gadget. The summary element explores the better schooling gadget and its capabilities which will examine the blessings of the use of VR era structures in high education. VR technology and its cutting-edge nation in education had been explored and which branches of better education use those era structures. Nowadays virtual fact is an early diploma in schooling systems in higher education with inside The entire global This generation offers the capacity to envelop the environment of advantage knowledge. Which isn't always typically inside the 3-D models and the interactive 360 motion pictures are bodily available to college students. VR performs a giant function in better schooling and numerous cutting-edge education use this era to decorate the scholar intelligence and gain knowledge of revel in.
Discrimination different lithological units using a remote sensing application: A case study in the Dokan Area, Kurdistan Region – Iraq

This study discriminates different lithological units of the Dokan Area, Kurdistan Region, NE-Iraq, using rapid-eye satellite data by image enhancement techniques, namely the false colour composite (FCC), optimum index factor (OIF), minimum noise fraction (MNF), principal component analysis (PCA) and band ratio (BR).Results of analyses show that the FCC (R: 5; G: 4: B: 1); MNF (R: 2, G: 3, B: 5); PCA (R: 5, G: 2, B: 1), and band ratio (R: 5/4, G: 2/1, B: 5/3) are the best to different geological formations.The results are confirmed in the field support with the geological maps available for the area.Geological formations appeared as a result of the collision process between the Arabian plate and the Iranian plate.In general, the study area is mountainous, which is usually represented by anticline folds with the main NW -SE trend in the study area, with very a rugged relief mainly due to the continuous collision between the Arabian plate and Iranian plate.The digital image processing of satellite data has demonstrated the sensor's capability and efficiency of the image processing methods in identifying and mapping geological units in the study area.
Literature Study The Influence Of Corporate Culture On Employee Performance And Innovation

Corporate culture has a relationship with employee performance; the better the corporate culture, the higher the level of employee performance. Furthermore, it was found that corporate culture has a relationship with employee innovation, and if the corporate culture is better, then employees can contribute to the growth of innovation. This is consistent with published theory and research and has served as a foundation for the notion that innovation and collaboration within an organization have implications for overall organizational health. Therefore, the authors are encouraged to be more detailed about the relationship between the cultural business community and employee motivation and performance, which can be revealed through several general indicators that will be discussed in this article
USER EXPERIENCE WITH EDUCATIONAL TECHNOLOGY IN AFRICAN SLUMS

Appears in: INTED2023 Proceedings Publication year: 2023Pages: 3270-3279ISBN: 978-84-09-49026-4ISSN: 2340-1079doi: 10.21125/inted.2023.0898Conference name: 17th International Technology, Education and Development ConferenceDates: 6-8 March, 2023Location: Valencia, Spain
Augmented Reality as a Thirdspace: Simultaneous Experience of the Physical and Virtual

With the proliferation of devices that display augmented reality (AR), now is the time for scholars and practitioners to evaluate and engage critically with emerging applications of the medium. AR mediates the way users see their bodies, hear their environment and engage with places. Applied in various forms, including social media, e-commerce, gaming, enterprise and art, the medium facilitates a hybrid experience of physical and digital spaces. This article employs a model of real-and-imagined space from geographer Edward Soja to examine how the user of an AR app navigates the two intertwined spaces of physical and digital, experiencing what Soja calls a ‘Thirdspace’. The article illustrates the potential for headset-based AR to engender such a Thirdspace through the author’s practice-led research project, the installation Through the Wardrobe. This installation demonstrates how AR has the potential to shift the way that users view and interact with their world with artistic applications providing an opportunity to question assumptions of social norms, identity and uses of physical space.
Mapping the Research on Educational Technology: An Overview through Text Mining

Purpose: In this study, it is aimed to determine the trends of studies in the field of educational technologies with the text mining method.&#x0D; Design/Methodology/Approach: In study, 10,218 studies published since 2000 by the top ten journals in the "Educational Technology" sub-category in Google Scholar Metrics were analyzed by text mining.&#x0D; Findings: Although it showed that the number of articles in the clusters increased daily, the rate of increase was higher in some clusters than in others. It has been seen that the most studied theories in the field of educational technologies are Cognitive Load Theory and Technology Acceptance Model. When examined in terms of variables, it is seen that the variables of Motivation, Success, Commitment and Social Presence find their place in educational technology studies.&#x0D; Highlights: It has been determined that the studies in the field of Educational Technologies include articles in 20 thematic clusters in seven main categories. It is possible to collect clusters under seven headings: Assessment, Language Learning, Instructional Design, Technology in Learning Environments, Theoretical Foundations, Computational Thinking and Online Learning. While it is foreseen that some of these issues will be discussed again, especially after the pandemic, some studies are thought to be needed more. In addition, the field of educational technology is seen as an interdisciplinary field, as stated before. For this reason, it is known that more subject areas are related to the clusters created here. Different perspectives can be revealed by using different methods in similar data sets.
Classification of cardiac disorders based on electrocardiogram data using a decision tree classification approach with the C45 algorithm

&lt;p&gt;The limitations of medical personnel, especially heart disease, cause difficulties in diagnosing heart disorders, so diagnosing heart disorders is not easy, it takes the ability and experience of a cardiologist who has the expertise and experience to be able to accurately diagnose heart disorders. Several studies in the field of computing have been carried out in diagnosing cardiac abnormalities in patients. This study was conducted to accurately test the results of the classification of heart disorders using electrocardiogram medical record data with a C.45 decision tree approach. The results showed that the classification of heart defects obtained a mean squared error (MSE) value of 0.24, a root mean squared error (RMSE) value of 0.49, and an accuracy value of 75.33% with the C4.5 algorithm.&lt;/p&gt;
Handwritten Javanese script recognition method based 12-layers deep convolutional neural network and data augmentation

Although numerous studies have been conducted on handwritten recognition, there is little and non-optimal research on Javanese script recognition due to its limitation to basic characters. Therefore, this research proposes the design of a handwritten Javanese Script recognition method based on twelve layers deep convolutional neural network (DCNN), consisting of four convolutions, two pooling, and five fully connected (FC) layers, with SoftMax classifiers. Five FC layers were proposed in this research to conduct the learning process in stages to achieve better learning outcomes. Due to the limited number of images in the Javanese script dataset, an augmentation process is needed to improve recognition performance. This method obtained 99.65% accuracy using seven types of geometric augmentation and the proposed DCNN model for 120 Javanese script character classes. It consists of 20 basic characters plus 100 others from the compound of basic and vowels characters.
Overcoming experience of nurses caring for patients with COVID-19 a hospital in Seoul

Purpose : The purpose of this study is to explore the essential structure and meaning of the in-depth experience of nurses caring for COVID-19 patients, and to provide basic data for preparing a holistic response strategy in the event of a new infectious disease in the future. Methods : This is a qualitative study conducted using in-depth interviews with 10 nurses in charge of COVID-19 patients and analyzed using the Colaizzi analysis method(1978). Results : As a result of the study, 158 meaningful statements, 4 topic groups, and 11 topics were derived about the experiences of nurses caring for COVID-19 patients. The subjects discovered that the experiences of nurses caring for critically ill patients in unfamiliar environments, such as COVID-19 isolation wards and environments with insufficient response guidelines, were a new dimension that was different from nursing patients with infectious diseases in the existing nursing environment. Conclusion : This study looked at the role of nurses who were pivotal in overcoming the epidemic of new infectious diseases by exploring the experiences of front-line nurses in crisis situations of emerging infectious diseases, and analyzed and structured their experiences as a whole.
Problems of Electronic Evaluation in Jordanian Universities during the Corona Pandemic from the Teachers’ Point of View

Objectives: This study aimed to reveal the problems of electronic evaluation in Jordanian universities during the Corona pandemic from the point of view of their faculty members. The study also contributes to enriching Arabic research on the subject of the electronic calendar. It is expected that the decision-makers in the Ministry of higher education and Jordanian universities will benefit from the development of evaluation mechanisms in them.&#x0D; Methods: The researchers adopted the descriptive approach. The study sample consisted of 181 faculty members randomly selected from among 2500 faculty members from the University of Jordan and the Arab Open University for the academic year 2020/2021. A questionnaire was constructed and distributed to the study sample electronically.&#x0D; Results: The study revealed that the electronic evaluation problems faced by the teachers during the Corona pandemic were different, and that there were statistically significant differences in technical problems due to the university (Jordan / Arab Open University). It showed that females suffered more than their male colleagues in facing the technical problems, and that the teachers with experience of 10 years or more suffered less than those with less experience.&#x0D; Conclusions: The researchers submitted 19 proposals to address the problems they faced in preparing, evaluating and managing tests during the pandemic