Reviewerly/exHarmony huggingface dataset:
Gerakan literasi berbasis inklusi sosial di Taman Bacaan Masyarakat Sehati Kabupaten Bandung

Authors:
raw_author_name: Neneng Komariah
raw_affiliation_string: Universitas Padjadjaran
raw_author_name: Saleha Rodiah
raw_affiliation_string: Universitas Padjadjaran

Abstract: The Sehati Community Reading Park (Taman Bacaan Masyarakat, TBM) in Bandung Regency is an initiative aimed at enhancing the reading interest of the community, especially in the Cimaung District of Bandung Regency. The literacy movement, organized by TBM Sehati, is designed for all ages, from children to adults. This research aims to understand the literacy movement at the Sehati TBM in Bandung Regency by analyzing the types of activities conducted and the benefits of the literacy movement. A qualitative approach through a case study research method was used in this study. The results indicate that the activities within the literacy movement at TBM Sehati are divided into two categories: routine and non-routine activities. Routine activities include reading and writing training, religious study groups, training for managers and volunteers, as well as drawing and painting workshops. Non-routine activities include baking training, waste management programs (fabric and cattle waste), and writing training (village journalism). The community literacy movement aims to improve the local economy, provide free access to knowledge, offer skills in arts and culture, and ensure an adequate learning environment. Volunteers gain knowledge, experience, a sense of joy, and gratitude. TBM managers also receive community support and trust, establish relationships and cooperation with various parties, benefit financially, and gain unexpected experiences and opportunities. The research concludes that the activities within the literacy movement at TBM Sehati have positively impacted the surrounding community, volunteers, and the TBM managers themselves.
Implementasi Model Atik dalam Mengembangkan Kecerdasan Kinestetik di Pos PAUD Sedap Malam 16

Authors:
raw_author_name: Sri Watini
raw_affiliation_string: Pascasarjana PAUD, Universitas Pancasakti, Bekasi, Jawa Barat

Abstract: There are a number of intelligences within children those if developed can become special potentials and talents, one of which is kinesthetic intelligence. One of the efforts to improve kinesthetic intelligence in children can be done with fun activities, one of which is with a well-known early childhood learning model, namely the ATIK model (Observe, Imitate and Do). This study aims to develop an ATIK model in improving children's ability to observe, imitate, and be able to perform movements with the hope and purpose of improving kinesthetic intelligence. The study used descriptive qualitative methods. The data source came from group B students of PAUD Sedap Malam 16 Post Students totaling 15 students. Data collection through observation, interviews and documentation. The results showed that the implementation of the ATIK model was effective in developing children's kinesthetic intelligence through foot pattern motoric play activities. The ATIK model in the game imitating foot patterns provides an increase in children's curiosity by observing, imitating and working so that children's kinesthetic development activities are carried out happily, purposefully and meaningfully.
EXPERT SYSTEM FOR DISEASE IDENTIFICATION BASED ON HEMATOCHEZIA SYMPTOMS WITH NAÏVE BAYES METHOD

Authors:
raw_author_name: Dasril Aldo
raw_affiliation_string: Institut Teknologi Telkom Purwokerto
raw_author_name: Alwendi Alwendi
raw_affiliation_string: Universitas  Graha Nusantara Padangsidimpuan
raw_author_name: Sapta Eka Putra
raw_affiliation_string: Universitas Tamansiswa Padang

Abstract: Hematochezia is a common clinical symptom in various gastrointestinal diseases, requiring accurate diagnosis for effective treatment. This study aims to develop an expert system for the rapid and precise identification of hematochezia-causing diseases. The expert system is designed to assist patients in efficiently recognizing diseases, minimizing treatment failure risks. It employs the Naïve Bayes method, a data calculation approach involving summing combinations and frequencies of each dataset. The expert system methodology begins with training using a dataset comprising hematochezia symptoms and corresponding disease diagnoses. The dataset is input into a database as training data. Subsequently, it undergoes classification and training stages. Symptom data can then be processed using the Naïve Bayes method. The system's end result displays probability values for each disease based on provided symptoms. This analysis relies on specific symptoms selected by the user, such as Rectal Pain, Hematochezia, Constipation, Fatigue, and Abdominal Cramps. It yields a Hemorrhoids diagnosis with a posterior probability of 0.514738. In testing with 35 sample cases, the expert system exhibited a remarkable accuracy rate of 94.29%. This expert system efficiently supports disease diagnosis based on hematochezia symptoms, aiding in swift and accurate identification.
Usulan Strategi Bisnis untuk Meningkatkan Keunggulan Kompetitif Usaha Pada Startup Prove Fragrance dengan Menggunakan Metode SWOT

Authors:
raw_author_name: None Agus Maolana Hidayat
raw_affiliation_string: Universitas Telkom

Abstract: This study delves into understanding the factors contributing to the sales decline experienced by the rebranded cosmetics startup "Prove." Employing qualitative research and fishbone diagram techniques, four primary root causes emerged: insufficient product information dissemination, limited product variety, underutilized digital marketing, and a lack of robust business development strategies. The proposed solution involves crafting a more effective business development strategy, recognizing that Prove lacked a well-defined approach to enhance its competitive advantage. The research emphasizes a SWOT analysis of Prove, focusing on its internal and external environment. The study, centered around Prove's Bandung office, involves the CEO and several employees as the unit of analysis. Collected through in-depth interviews, field observations, and documentation. The results highlight Prove's strengths in innovative product design and creative opportunities for partnerships and business expansion.
Hubungan literasi informasi dengan self-directed learning mahasiswa Fakultas Ilmu Komunikasi

Authors:
raw_author_name: Edwin Rizal
raw_affiliation_string: Universitas Padjadjaran
raw_author_name: Fitri Perdana
raw_affiliation_string: Universitas Padjadjaran

Abstract: The creation of a thesis, which is the outcome of student research, is one of the requirements for graduation in higher education. In the thesis completion process, students are required to have adequate information literacy and self-directed learning skills. Students of Fikom Unpad, class of 2016, were introduced to the concept of information literacy during the new student orientation and in the TPB (Preparation Stage for Learning) program in the KBLI (Information Literacy Learning Activities) course. This research aims to identify the relationship between information literacy and self-directed learning among Fikom Unpad students of the 2016 class in the thesis preparation process. The research method used is quantitative, utilizing Chi-square and Pearson Product Moment analysis. The theoretical foundation refers to the ACRL (Association of College, Research, and Library) standards of 2000, covering aspects of information needs, information search strategies, information evaluation, information usage, and ethics and law in information use. This study involved 209 students of Fikom Unpad, class of 2016, with a sample size of 136 individuals. The results show a significant relationship between information literacy (X) and self-directed learning (Y), with a high correlation between sub-variable X (information needs, information search strategies, and information usage) and variable Y. Meanwhile, other sub-variables of X (information evaluation, ethics, and the law of information use) have a moderate relationship with variable Y. It was found that students' motivation and self-directed learning ability can increase with improved information literacy skills, considering the interrelation between the indicators of information literacy and self-directed learning. The higher the level of students' information literacy, the better their self-directed learning abilities.
Proses digitalisasi karya ilmiah lama di Perpustakaan Fakultas Pertanian Universitas Padjadjaran

Authors:
raw_author_name: Salsabiila Anjani
raw_affiliation_string: Universitas Padjadjaran
raw_author_name: Edwin Rizal
raw_affiliation_string: Universitas Padjadjaran
raw_author_name: Encang Saepudin
raw_affiliation_string: Universitas Padjadjaran

Abstract: Because the Padjadjaran University Faculty of Agriculture Library has so many scholarly books, there is a mountain of accumulation inside of it. Science work is damp, moldy, and dirty. Furthermore, it is very challenging to find scientific articles later due to the mountains of them. The University of Padjadjaran Library's digitalization initiatives are predicated on this understanding. Examining the process of digitizing historical scientific articles (published prior to 2016) in the University of Padjadjaran's Faculty of Agriculture Library is the aim of this study. The research methodology used is a case study methodology using a qualitative approach. In order to gather data, observations and interviews are conducted. Interviews were conducted with the coordinator of digitization activities at the Library of the Faculty of Agriculture, University of Padjadjaran, digitization staff, and students who had done digitalization internships. Data analysis uses data reduction techniques, data presentation, and verification. The study's findings indicated that this digitizing process had previously been done, halted, and then continued till the present. The first step involves scanning; the second involves editing the results of the scanning process, such as adding a watermark or a password, but this step has not yet been completed; the three uploading procedures are uploaded to the Unpad Faculty of Agriculture Library's Google Drive. The last phase involves scanning and destroying the physical scientific works; nevertheless, official protocols have not been followed in this process. The study's findings demonstrate that while the digitization efforts undertaken are generally excellent, crucial information pertaining to particular SOPs at every stage of the process is still lacking.
Kegiatan preservasi preventif dan kuratif koleksi di Perpustakaan Universitas Komputer Indonesia

Authors:
raw_author_name: Ninis Agustini Damayani
raw_affiliation_string: Universitas Padjadjaran
raw_author_name: Ute Lies Siti Khadijah
raw_affiliation_string: Universitas Padjadjaran
raw_author_name: Saleha Rodiah
raw_affiliation_string: Universitas Padjadjaran
raw_author_name: Samson CMS
raw_affiliation_string: Universitas Padjadjaran
raw_author_name: Evi Nursanti Rukmana
raw_affiliation_string: Universitas Padjadjaran
raw_author_name: Lutfi Khoerunnisa
raw_affiliation_string: Universitas Pendidikan Indonesia

Abstract: Collection preservation is a crucial aspect of a library system. A higher education library called the University of Computer Indonesia (Unikom) Library uses preservation to make sure that users can access collections in the future. This study aims to examine the collection preservation activities at the Unikom Library, focusing on the analysis of preventive and curative preservation activities. This research uses a qualitative descriptive method. The findings show that preventive preservation activities at the Unikom Library include educating users, controlling room temperature and humidity, keeping collections away from direct sunlight, installing naphthalene balls on bookshelves, and setting up CCTV, flap barriers, fire extinguishers, smoke detectors, and sprinklers. Meanwhile, curative activities include covering library materials, fumigation by third parties, regular cleaning of rooms and collections, binding library materials, replacing damaged covers or pages of books by third parties, and media conversion (digitization) of thesis collections done using a scanner through the scanning process. This study concludes that both preventive and curative preservation activities at the Unikom Library have been carried out effectively.
Online presentation of the digital reconstruction process of a megalithic tomb : “3Duewelsteene”

Authors:
raw_author_name: Sophie C. Schmidt
raw_affiliation_string: Berlin Graduate School of Ancient Studies, Freie Universiät Berlin – Berlin, Germany

Abstract: A recommendation of: Tharandt, Louise 3Duewelsteene - A website for the 3D visualization of the megalithic passage grave Düwelsteene near Heiden in Westphalia, Germany https://doi.org/10.5281/zenodo.7948379
Train Distance Estimation for Virtual Coupling Based on Monocular Vision

Authors:
raw_author_name: Yang Hao
raw_affiliation_string: School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China; Traffic Control Technology Co., Ltd., Beijing 100070, China
raw_author_name: Chunhai Gao
raw_affiliation_string: Traffic Control Technology Co., Ltd., Beijing 100070, China

Abstract: By precisely controlling the distance between two train sets, virtual coupling (VC) enables flexible coupling and decoupling in urban rail transit. However, relying on train-to-train communication for obtaining the train distance can pose a safety risk in case of communication malfunctions. In this paper, a distance-estimation framework based on monocular vision is proposed. First, key structure features of the target train are extracted by an object-detection neural network, whose strategies include an additional detection head in the feature pyramid, labeling of object neighbor areas, and semantic filtering, which are utilized to improve the detection performance for small objects. Then, an optimization process based on multiple key structure features is implemented to estimate the distance between the two train sets in VC. For the validation and evaluation of the proposed framework, experiments were implemented on Beijing Subway Line 11. The results show that for train sets with distances between 20 m and 100 m, the proposed framework can achieve a distance estimation with an absolute error that is lower than 1 m and a relative error that is lower than 1.5%, which can be a reliable backup for communication-based VC operations.
Immovable Cultural Relics Preservation Through 3D Reconstruction Using NeRF

Authors:
raw_author_name: Zhiqing Lai
raw_affiliation_string: Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System. Quanzhou 362200, China; Quanzhou Institute of Equipment Manufacturing Haixi Institutes, Chinese Academy of Sciences, Quanzhou, 362200, China
raw_author_name: Mingchang Lian
raw_affiliation_string: Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System. Quanzhou 362200, China; Quanzhou Institute of Equipment Manufacturing Haixi Institutes, Chinese Academy of Sciences, Quanzhou, 362200, China
raw_author_name: Songhang Chen
raw_affiliation_string: Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System. Quanzhou 362200, China; Quanzhou Institute of Equipment Manufacturing Haixi Institutes, Chinese Academy of Sciences, Quanzhou, 362200, China

Abstract: Urban and rural development poses significant threats to immovable cultural relics, leading to their degradation and potential extinction. To address this issue, 3D reconstruction has emerged as an effective preservation method. However, traditional radar-based techniques require close scanning and extensive manual intervention, limiting their efficiency. This paper explores the application of neural radiance fields (NeRF) for visually reconstructing immovable cultural relics. NeRF employs a fully connected non-convolutional neural network to generate high-quality 3D models from 2D images. The study discusses NeRF’s sampling strategy, positional encoding, field architecture, and rendering process. Experimental investigations evaluate the impact of Fourier parameters on reconstruction quality. A case study reconstructing Tianhou Temple using NeRF is presented, comparing it with ContextCapture software. All results demonstrate that NeRF offers an efficient, and cost-saving solution for reconstructing and preserving immovable cultural relics, providing accurate and realistic models with superior structural integrity.
Research on Automatic Recognition of Rhetorical Questions’ Types in Modern Chinese Texts

Authors:
raw_author_name: Yongquan Li
raw_affiliation_string: College of Chinese Language and Culture, Jinan University, Guangzhou, 510610, China

Abstract: Effective social dialogue patterns must understand rhetorical means of expression in a broad sense. Rhetorical questioning is a commonly used rhetorical expression that typically employs an interrogative form to convey a negative function. As the analysis progresses, we find that there is a continuum from interrogative to rhetorical question, with the degree of questioning decreasing and the degree of negation increasing. The rhetorical question allows for a response, and the form of the response reflects the addressee’s understanding of the degree of negation. The article manually marked 1002 rhetorical questions by experts and divided them into four categories: Awakening, Questioning, Discovering, and Constantly Changing. By comparing CNN, RNN, Transformer, FastText, Baidu PaddlePaddle model, and CNN with FastText composite model, it was found that CNN alone can achieve an accuracy of 53.12%, with good prediction performance, and performs well in various types of rhetorical questions. Therefore, CNN can be applied in natural language processing of rhetorical questions in fields such as sentiment analysis, translation, and automatic writing.
Research and Application of Data Mining Algorithms in Power Marketing

Authors:
raw_author_name: Qingchun Meng
raw_affiliation_string: Fuxin Power Supply Company of State Grid Liaoning Electric Power Co., Ltd, Fuxin 123000, Liaoning, China
raw_author_name: Yan Xu
raw_affiliation_string: Fuxin Power Supply Company of State Grid Liaoning Electric Power Co., Ltd, Fuxin 123000, Liaoning, China
raw_author_name: Long Chen
raw_affiliation_string: Fuxin Power Supply Company of State Grid Liaoning Electric Power Co., Ltd, Fuxin 123000, Liaoning, China
raw_author_name: Xiaochen Song
raw_affiliation_string: Fuxin Power Supply Company of State Grid Liaoning Electric Power Co., Ltd, Fuxin 123000, Liaoning, China

Abstract: With the continuous advancement of smart grid construction and the integration of more and more distributed power sources for new energy generation into the grid, higher requirements have been put forward for power marketing information management. This article takes the typical application of big data technology in power marketing as an example, analyzes the reasons for the problems faced by specific power enterprises in marketing, and with the aim of solving the problems, refines the problems into multiple information needs of power marketing. Finally, compression testing and response testing were conducted, and the system experienced no more than 1.1 interruptions and no more than 0.5 seconds of delay during the testing process.
A New Method for Improving the Accuracy of Word Segmentation in Modern Chinese Texts

Authors:
raw_author_name: Yan Zhang
raw_affiliation_string: College of Chinese Language and Culture Jinan University Guangzhou, China

Abstract: Chinese does not adopt the form of word segmentation in writing like English. The role of words in NLP is enormous and can have a significant impact on subsequent tasks. Presently, NLP research in China mainly focuses on modern Chinese, leaving a gap in studying the pre modern Chinese stage during the late Qing Dynasty to early Republic. Many texts from this time were in traditional paper books with varying preservation conditions, making it hard to obtain a representative dataset, limiting in-depth research. Most texts haven’t undergone digital processing, lacking segmentation or annotation. This poses great challenges for researchers. Researchers must design word segmentation algorithms from scratch, increasing difficulty and workload. By using N-gram to extract bigram and trigram fragments, and combining with 100 Year Chinese New Words and Phrases Dictionary and other books, this paper constructs a Chinese wordlist at the end of the Qing Dynasty to the beginning of the Republic of China. 10000 sentences were randomly selected from the corpus constructed in this article and manually segmented and annotated. The experimental results show that adding the wordlist constructed in this article has indeed improved the accuracy of word segmentation for most of these 10000 sentences. Specifically, the three software (CoreNLP, FudanNLP, and Jieba) show a certain degree of performance improvement when using the wordlist. For HanLP, the use of wordlist in this set of data did not bring significant performance improvement, or even a slight decline to some extent.
Enhancing Privacy in the Internet of Vehicles via Hyperelliptic Curve Cryptography

Authors:
raw_author_name: Ioanna Roussaki
raw_affiliation_string: Institute of Communication and Computer Systems, 10682 Athens, Greece; School of Electrical and Computer Engineering, National Technical University of Athens, 15773 Athens, Greece

Abstract: The Internet of Things (IoT) is a technological paradigm that has gained significant momentum the last decade and, among other features, enables the development of intelligent and interoperable device networks. In this respect, it has triggered the creation and evolution of vehicular ad-hoc networks (VANETs), which are initially implemented in order to guarantee the safety of drivers and the avoidance of traffic accidents. The drawback is that this fast evolution comes with serious concerns in terms of the privacy of users, while the population of attackers or entities that try to eavesdrop and intercept information has significantly increased. This imposes a serious risk for drivers moving across a Smart City. The research presented in this paper aims to evaluate privacy protection mechanisms in VANET environments, based on the efficiency and security level they ensure, considering the fact that VANETs provide limited resources to users/drivers. Moreover, the usage of elliptic curve cryptography in reduced resources environments is discussed. Finally, this paper compares the performance of three cryptographic algorithms, elliptic curve cryptography (ECC), hyperelliptic curve cryptography genus 2 (HECC-2) and HECC genus 3 (HECC-3), employed for an efficient authentication and safe message transmission mechanism in VANETs, aimed at reaching conclusions related to the implementation of each cryptographic scheme in this specific application area. The evaluation results indicate that ECC supersedes HECC-2 and HECC-3 in most metrics. However, HECC-2 and HECC-3 demonstrate better responses than ECC does in selected energy metrics. Overall, it is observed that HECC algorithms are not yet mature enough to compete with ECC. This is due to the fact that the research community has not sufficiently progressed toward the optimization of HECC, and moreover, HECC builds on quite complex mathematics. There are indications, however, that once HECC curves are indeed optimized, HECC will outperform ECC in speed as well as in other metrics, sinceHECC-2 and HECC-3 use a significantly smaller key size with the same level of security as that of ECC.