Reviewerly/exHarmony huggingface dataset:
Internal-External Boundary Attentions for Transparent Object Segmentation

Recognizing transparent objects such as window and glassware is a challenging task in 3D Reconstruction from color images. In recent years, transparent object recognition methods have focused on feature extraction from boundary region of transparent objects. Our observation is that, unlike non-transparent objects, transparent objects can be characterized and located better by looking at their external and internal boundaries separately. We propose a new internal-external boundaries attention module in which internal and external boundary features are separately recognized. We add an edge-body fully attention module that supervises the segmentation of the generated transparent objects body using semantic information in the external boundaries. We employ contour loss to perform distance-weighted supervision on the inner and outer boundaries separately. Extensive experiments show that proposed method outperforms existing methods on Trans10k dataset.
Hanging Print: Plastic Extrusion for Catenary Weaving in Mid-Air

We present Hanging Print, a framework to design and fabricate shapes by weaving catenaries(i.e. hanging curves) by extruding plastic filaments directly in mid-air. Hanging Print has the potential to assist designing expressions unique to hanging structures, unique to plastic, and beyond imagination. In this paper we introduce the workflow of Hanging Print, and demonstrate our works in various scales.
Temporal and Spatial Distortion for VR Rhythmic Skill Training

In many sports, rhythmic skills are considered important. In this paper, we take juggling as an example and propose a VR system that simplifies the acquisition of a sense of rhythm. The proposed system uses temporal and spatial distortion and other functions to assist the training. A pilot study is conducted to validate the effectiveness of each function.
Codeless Content Creator System: Anyone Can Make Their Own Mixed Reality Content Without Relying on Software Developer Tools

Mixed Reality (MR) techniques begin to penetrate our daily life. Due to the features of MR techniques to seamlessly intermix a user’s real environment with useful virtual contents in a natural manner, their potential applications range from information visualization and sharing and remote work collaboration to education and training in various fields. However, due to the steep learning curve in content creation and development, it is not trivial for novice users to create MR contents by themselves. In this work, we propose “Codeless Content Creator System”, an MR system that helps novice users rapidly and conveniently create MR contents using MR devices rather than relying on complicated software development tools such as Unity. A simple user study found that our system is useful and convenient for the MR contents creation tasks.
Analysis of the Feasibility of VR Metaverses and Examining its Societal and Health Ramifications - A Survey

Throughout this journal, we aim to highlight the existing problems that plague modern Metaverses, discuss at length the paradigm shift society at large might face upon the widespread utilization of VR spaces by the general public, and discuss solutions on how to make Metaverses financially viable. Additionally, we will be touching upon the features that, if implemented, will help unveil the infinite potential of Virtual Reality.
Transparency Order and Cross-Correlation Analysis of Boolean Functions

Transparency order is considered to be a cryptographically significant property that characterizes the resistance of S-boxes in opposition to differential power analysis attacks. The S-box having low transparency order is more resistant to these attacks. Until now, little attempts have been noticed to examine theoretically the transparency order and its relationship with other cryptographic properties. All constructions associated with transparency order are relying on search algorithms. In this paper, we discuss the new interpretation of bent functions in terms of their transparency order. Using the concept of vector concatenation and correlation characteristics, we find the transparency order of Boolean functions. The notion of complementary transparency order is given. For a pair of Boolean functions, we interpret complementary transparency order by their Walsh-Hadamard transform. We establish a relationship of transparency order with cross-correlation for a pair of Boolean functions. We find a relationship of transparency order with <img src=image/13428361_01.gif>−variable decomposition bent functions. We generalize the bounds on sum-of-squares of autocorrelation in terms of transparency order of Boolean functions using Walsh-Hadamard spectra. Further the transparency order of a function fulfilling the propagation criterion about a linear subspace is evaluated.
A Quantitative Study of the Formal Characteristics of Press Releases of Central Administrative Agencies

In this paper, we quantitatively reviewed the formal characteristics of 2,160 press releases which were produced by 45 central administrative agencies from 2018 to 2019. The findings are as follows. First, the formal characteristics of press releases are classified into macro feature(e.g. method of paragraph representation, usage of subtitle, method of subtitle representation, usage of summary) and micro feature(method of important information representation, method of reference information representation, sentence type of body of press release). Second, from the perspective of macro feature of press release, it is interesting that there are many press releases which use only one subtitle, more than one special label, without summary. Third, from the perspective of micro feature of press release, it is interesting that there are many press releases which use bold font to represent important information, special label to represent reference information, use ending ‘-ta’. Considering these facts, we confirmed that the formal characteristics of the press releases made in 2018 and 2019 are very similar to the press release standard, which National Institute of Korean Language suggested in 2020.
A study of the establishment of a job classification system with deep learning-based online job posting text analysis

The purpose of this study is to create a classification model that can identify the type of job by using online job posting text data and evaluate the performance of the model. By applying the latest deep learning machine learning method to Work-Net online job postings(OJPs) text data, it is to automatically determine the occupat ional code of the OJPs. Considering the research trends shifting from a rule-based model to an artificial neural network model. and the merit of handling large-scale online job posting materials and the contextual meaning of text well. the latest models of artificial neural networks. Bi-LSTM and KoBERT models, were applied. As a result of applying the model to 8 million text data of employment insurance Work-Net job posting data from 1999 to 2001 . matching accuracy of 0.62 to 0.82 was achieved. The result is not very high performance. but it is generally judged to be a model that can determine the occupation. In particular. high accuracy was achieved in professions where job descriptions were specific and precise. Although it is not yet perfect for practical use, it is expected that the performance of the automatic occupational classification system will improve in the future when recruitment practices into the job-type labor market change and more precise data pre-processing and model applications are made.
A Study on the Effects of Digital Literacy and Entrepreneurship Efficacy on Entrepreneurship Intention: Focusing on the Mediating Effect of Experiential Entrepreneurship Education

In a rapidly changing environment such as the global economic downturn and the emergence of new technologies following the 4th industrial revolution, national interest in entrepreneurship as a method of creating new jobs is increasing. is increasing In particular, various start-up education programs that have advanced from lecture-type education focusing on theory are being introduced. Therefore, this study tried to empirically examine the effects of digital literacy and entrepreneurial efficacy, which are required in the new era of digital transformation, on entrepreneurial intentions through experiential entrepreneurship education. As a result of empirical analysis through this study, first, it was confirmed that entrepreneurial efficacy had a significant positive ( +) effect on entrepreneurial intention. Second, the relationship between the ability to use the device during digital literacy and the intention to start a business was not verified. Third, it was found that experiential entrepreneurship education had an important mediating factor between digital literacy, entrepreneurial efficacy, and entrepreneurial intention. As the implication of this study, since entrepreneurship efficacy and digital literacy can enhance entrepreneurial intention through experiential start-up education programs, various teaching methods and contents will need to be developed to activate experiential start-up education programs.
Reference-based Face Editing with Spherical Harmonic Illumination and Geometry Improvement

Face editing is a topic in computer vision. To accurately meet the demands of users, many researchers focus on the reference-based face editing task which aims to manipulate an original image from reference attributes. However, existing methods tend to have illumination information mistakes and geometry structure missing issues. In this paper, we present an illumination and geometry-improved framework. The framework consists of two vital parts: the illumination adjustment module and the geometry improvement part. The illumination adjustment module is introduced to predict spherical harmonic lighting code concatenating with the original style code to combine more illumination details. And the geometry improvement part serves as an extra disentangled geometry feature provider and a combiner to achieve a fine-grained blended image. Extensive results demonstrate that our method has significant improvements in illumination and geometry preservation.
Design and Implementation of Survey and Design Enterprise File Sorting System

In recent years, the scale of survey and design enterprises has grown and the number of projects has also increased. The files generated during the survey and design process also increased. Files for civil engineering projects must be archived. In most cases, the files for these projects are directly stored in the system database without standardized sorting. When employees use a project file, they need to search in a messy and unhierarchical file directory, so that the search efficiency is low. Therefore, we designed and implemented a file sorting system for survey and design enterprises. In the paper, we introduce the system design and system realization of the file sorting system in detail. The system is based on B/S architecture and uses the Java programming language to integrate the rules of file sorting into the system to improve the quality of file sorting and ensure the authenticity, availability, security and integrity of files. After systematic processing, the files are uniformly coded and arranged, and employees can find a certain civil engineering project file more clearly.
Research on Information Hiding Algorithm Based on Local Fusion of 3D Model

Aiming at the problem that the single-carrier 3D model has a weak ability to resist heterogeneous compression attacks, an information hiding algorithm based on the local feature fusion of the multi-carrier 3D model is proposed. First, the PCA (principal components analysis) regression method was used to estimate the normal carrier of the surface curvature, and the feature points of the vector set of 3D model were extracted from the surface curvature; Secondly, the carrier set was prefused with spindle correction, and then the distance threshold between feature points was set by ICP (Iterative Closest Point) nearest point iterative algorithm. After the fusion state of the carrier was obtained, the local fusion block was extracted by difference calculation with the original carrier; Thirdly, Arnold is used to scramble the secret information to get the binary sequence with the optimal matching degree with the carrier; Finally, meshed local fusion blocks, whose structural complexity is defined by the perimeter of the grid, embed binary sequences into vertices with high structural complexity. The algorithm hides the binary sequences with optimal matching degree with the carrier in the vertices with high structural complexity in the local fusion block, the invisibility and robustness of the algorithm are improved greatly. It can be seen from the experimental results that the proposed algorithm has high resistance to non-uniform compression and other attacks, indicating that its invisibility and robustness are high.
Crypto making limited inroads into mainstream finance

Significance The market capitalisation of crypto assets has fallen below USD1tn, from USD3tn in November 2021. FTX's collapse has reminded investors that the market is driven by speculation, that crypto use in everyday transactions remains very limited, that crypto use for theft and fraud is substantial, and that the market's operating structures are opaque. Impacts All major asset classes bar the US dollar and commodities have posted negative returns in 2022; amid volatility, this will continue in 2023. Stablecoins have fallen sharply but will play a role in connecting mainstream and crypto markets by tracking assets such as the US dollar. Sentiment is improving due to signs that the US Federal Reserve will slow the pace of rate hikes; bond markets see rate cuts later in 2023.
Lane line detection based on OpenCV

This paper is a lane line detection based on OpenCV. First, the image is processed after the image input. Later, the histogram equalization was used for image enhancement, which improved the poor effect of lane line detection due to the effect of exposure changes. Set up the area of interest to reduce interference. A modified Canny edge detection was followed, using a hybrid filtering method to reduce the effect of noise. Then the Hough transformation algorithm was performed. The results show that histogram equalization and hybrid filtering improve the accuracy of lane line identification.
SISTEM PENGADAAN BAHAN PUSTAKA PADA DINAS ARSIP DAN PERPUSTAKAAN KOTA BANDUNG

One of the functions of Department Archives and Libraries of Bandung City is the development and implementation of regional library and archive management which includes library management, archive management and library and archive development. In the management of the library, the role of procuring a collection of library materials is very much needed, especially to increase the reading interest of the people of Bandung. The aim of this study is to determine the system of procurement of library materials, to find out the inhibiting factors in the library material procurement system, and to find solutions from librarians in overcoming obstacles in the procurement of library materials. This research was conducted at Department Archives and Libraries of Bandung City from June to July 2022. This type of research is qualitative research using a descriptive method. The instrument of data collection is by interview, observation, and literature review. The system of procurement of Department Archives and Libraries of the Bandung City is divided into three parts namely procurement selection, procurement process, and procurement result. The steps in the selection process for library materials are surveying user needs, collecting selection tools, and selecting library materials. The Techniques and methods of procurement of library materials with the method of selecting providers by direct procurement by procurement staff. The source of funds for the procurement of library materials comes from the Regional Budget of Bandung City in 2022. The process of receiving library materials includes the activities of examining received library materials, grouping of library materials, and submitting to the library material processing unit. After the procurement process is complete, then proceed to the reporting process. Reports are made periodically in the form of financial realization and performance realization which include procurement methods, number of procurements, types of library materials, and budget sources. difficulties in the procurement of library materials include the limited number of library materials published by publishers, the delay in information from publishers regarding the library materials ordered, and the absence of flexibility in determining the price of library materials. The solution to these obstacles is to communicate more intensely with publishers and seek information on library materials according to the required categories, frequent book fairs, and a more flexible policy of budget adjustment for the procurement of library materials.
Expansion Points and Beyond

I started this book by sharing my perspective on how to define business applications. Extending from that definition I then described how to think about building them in order to satisfy a set of properties and features that I feel are valuable to both the business and you, the developer. The design I’ve introduced has been explained without prescribing any specific implementation. After fully explaining the design in the third part of this book, the prior chapter was an introduction into the set of tools that I have successfully used for implementing the design. In this final chapter, I share some parting thoughts on the philosophy underpinning the system from this book, ideas for extending the core components, and directions that you can take your own implementations.
Efficient Big Data Architecture Based on Micro Service

Software architectures for Big Data generally correspond to a stack of software chosen initially for their functionality and especially their compatibility. However, this choice cannot be kept over a long period. Big Data applications evolve at different rates. Moreover, the execution of these applications requires configurations that depend on the resources used. These configurations are not fixed; some evolve over time. We have rethought our Big Data architecture so that it is more manageable and more reactive to the execution context. In order to isolate our applications, we propose for each of them a Kubernetes orchestration based on business micro services. The use of computing resources is improved, and data access is better managed. Thus, the monitoring of the calculation case is simplified for the user. This is all the more significant when several orchestrations take place concurrently. Our application log management strategy uses the distribution of the computational case by separating the activity monitoring from the Big Data computation code.
Embracing Disciplinary Diversity in Visualization

Visualization is inherently diverse and is employed in countless domains to enable meaningful interactions with data. There is tremendous opportunity in embracing disciplinary diversity to widen the pool of contributions to visualization design, research, and practice. We describe a few examples of diverse approaches: scientific method, design studies, tool building, participatory research, and co-design with communities, data storytelling, and autographic design. We discuss opening the aperture, pushing back on what we, as a community, deem acceptable and rigorous, and what can be gained through greater inclusivity of approaches.
RWD102 Electronic Health Records With Unstructured Text to Predict Outcomes With Machine Learning: A Therapeutic Area Fingerprint

Due to the exponential application of Machine Learning (ML) to predict outcomes by analyzing unstructured text from electronic health records (EHR), we assessed whether therapeutic areas or medical specialties keen to employ unstructured data to capture disease-related information. We searched PUBMED and Scholar Google using the criteria "Electronic Health Records" and 'Machine Learning, screening all publications in English until September 2021. Variables for analysis were: The number of patients and time of data collection by TA, type of data structure, automatic text analysis techniques, and clinical outcomes. Data are presented as means for continuous, and percentages for categorical data. We selected 117 papers that included 18 different therapy areas; Cardiovascular (27/117, 23%), Psychiatry (19/117, 16,2%), and Oncology (14/117, 11,9 %) were among the top employed unstructured data in the EHRs. 5/117 (4,2%) represented data from EU+UK. The range of patient population was: 577 to 2.341.877, and the years of data capture ranged from 3 to 20.5. 78/1117 (67%) of these papers employed ICD as the principal coding language. 47/117 (40%) presented unstructured data, and of the 20 registered automatic text analysis techniques, cTAKES and MetaMAP were the most frequent. A wide diversity of medical specialties covered was found. However, a lack of protocolization was observed in the standards of number of patients and duration of studies. Likewise, the lack of standardization for automatic text analysis was identified, since many poorly developed health centers store their clinical data in this only way.
HSD45 Breast Cancer Biopsy Rates in Chile: Is There Justification for Adopting Innovative Anatomic Pathology Technologies in Public Providers?

Breast cancer is increasing in Chile, and also the need for biopsies. We aim to identify the evolution of breast cancer diagnosis needs to be measured as Core Needle Biopsy (CNB), Stereotactic Biopsy (SB), Hematoxylin and Eosin staining Histopathological Study (H&ES), Immunohistochemical Study (IS) in relation to echography and mastectomy rates, to understand local needs of adopting innovative pathology technologies in public providers.
Perancangan Sistem Informasi Pengelolaan Data Penjualan Pada UD Memeri

UD Memeri is one of the SMEs that sells various types of ducks. As long as this UKM is running, the quality of the ducks is sold by UD Memes are never bad. Currently, UD Memeri's sales transactions per day can reach 50 to 100 individuals. start recording sales of ducks. With manual sales and recording, it is possible for errors can occur in recording transactions. Transaction activities and product data management are still carried out in a conventional way which makes the work process take a lot of time because in the transaction process in sales, therefore an information system is needed to manage sales transaction data at UD Memeri. Making an information system cannot be developed immediately before there is a needs analysis and system described in the form of a design. The results of the analysis of user needs, there are three users of the information system, namely admin, owner, and staff. The system design is based on the analysis of user needs by designing Data Flow Diagrams (DFD) and designing databases using Entity-Relationship Diagrams (ERD), and designing an information system interface that will be built based on a website. Interface design includes admin page interface design, staff page interface design, and owner page interface design. With this design made, UD Memeri has an overview of the information system that will be built and adjusted to needs
Command Processor

The command processor is a critical component of our system. It will be responsible for ensuring that a portion of our business rules, those for data at rest, will be enforced. In this chapter I explain the ideas behind this component, what will be required to construct it, how it works, how it fails, and how to test it. Let’s dive in.
Cloud Operating Model Strategy

In this chapter, I will cover what a cloud operating model is, why you need one, the different types, and how to align your future state toward one.