Reviewerly/exHarmony huggingface dataset:
Improved video motion magnification method assisted by digital image correlation

Authors:
raw_author_name: Tong Ding
raw_affiliation_string: Beihang University (China); China University of Geosciences (Beijing) (China)
raw_author_name: Long Tian
raw_affiliation_string: China University of Geosciences (Beijing) (China)
raw_author_name: Qinghua Wang
raw_affiliation_string: Beihang University (China)

Abstract: Video Motion Magnification (VMM) has gained considerable attention in the field of engineering measurement due to its impressive ability to amplify subtle motions. However, traditional algorithms often suffer from image artifacts and noise due to improper parameter settings, especially when dealing with weak motion. This paper introduces an improved VMM method that addresses this limitation by incorporating the Digital Image Correlation (DIC) technique. The proposed method utilizes DIC-measured image displacement results to analyze the dominant motion frequencies. Based on this analysis, the parameters of the VMM time domain filter are set accordingly. This approach enables motion magnification in videos while preserving image details and reducing noticeable artifacts. Simulation experiments conducted on an indoor precision displacement platform demonstrate the effectiveness of the proposed method. It eliminates the need for repetitive manual parameter adjustment through trial, producing clear and amplified motion videos. Additionally, it enables accurate measurement of small-scale motions. Overall, the proposed method enhances the performance of VMM by leveraging DIC and provides a more reliable and efficient approach for motion magnification in engineering measurement applications.
Statement-Grained Hierarchy Enhanced Code Summarization

Authors:
raw_author_name: Qianjin Zhang
raw_affiliation_string: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
raw_author_name: Dahai Jin
raw_affiliation_string: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
raw_author_name: Yawen Wang
raw_affiliation_string: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
raw_author_name: Yunzhan Gong
raw_affiliation_string: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

Abstract: Code summarization plays a vital role in aiding developers with program comprehension by generating corresponding textual descriptions for code snippets. While recent approaches have concentrated on encoding the textual and structural characteristics of source code, they often neglect the global hierarchical features, causing limited code representation. Addressing this gap, our paper introduces the statement-grained hierarchy enhanced Transformer model (SHT), a novel framework that integrates global hierarchy, syntax, and token sequences to automatically generate summaries for code snippets. SHT is distinctively designed with two encoders to learn both hierarchical and sequential features of code. One relational attention encoder processes the statement-grained hierarchical graph, producing hierarchical embeddings. Subsequently, another sequence encoder integrates these hierarchical structures with token sequences. The resulting enriched representation is then fed into a vanilla Transformer decoder, which effectively generates concise and informative summarizations. Our extensive experiments demonstrate that SHT significantly outperforms state-of-the-art approaches on two widely used Java benchmarks. This underscores the effectiveness of incorporating global hierarchical information in enhancing the quality of code summarizations.
Apriorics: Information and Graphs in the Description of the Fundamental Particles—A Mathematical Proof

Authors:
raw_author_name: Asher Yahalom
raw_affiliation_string: Department of Electrical and Electronic Engineering, Faculty of Engineering, Kiryat Hamada POB 3, Ariel 40700, Israel

Abstract: In our earlier work, we suggested an axiomatic framework for deducing the fundamental entities which constitute the building block of the elementary particles in physics. The basic concept of this theory, named apriorics, is the ontological structure (OS)—an undirected simple graph satisfying specified conditions. The vertices of this graph represent the fundamental entities (FEs), its edges are binary compounds of the FEs (which are the fundamental bosons and fermions), and the structures constituting more than two connected vertices are composite particles. The objective of this paper is to focus the attention on several mathematical theorems and ideas associated with such graphs of order n, including their enumeration, showing what is the information content of apriorics.
K-Means Algorithm for District/City Classification in West Java Based on Stunting Toddler Data

Authors:
raw_author_name: Ade Bani Riyan
raw_affiliation_string: Politeknik Siber Cerdika Internasional, Indonesia

Abstract: Health issues, especially related to stunting, remain a major concern in Indonesia. Stunting is a condition where toddlers have a height that is too short for their age, which is a sign of chronic malnutrition. The purpose of this study is to group the number of stunting by district/city in West Java. The dataset was obtained from data on the number of stunting toddlers by district/city in West Java Province from 2014 to 2022. This dataset related to the topic of Health is produced by the health Office which is issued every 1 year. The results showed that there are two main groups in the classification of stunting numbers in West Java. The first group (cluster 0) includes Ciamis Regency, Kuningan Regency, Majalengka Regency, Sumedang Regency, Subang Regency, Purwakarta Regency, Bekasi Regency, West Bandung Regency, Pangandaran Regency, Bogor City, Sukabumi City, Bandung City, Cirebon City, Depok City, Cimahi City, Tasikmalaya City, Banjar City. The second group (cluster 1) consists of Bogor Regency, Sukabumi Regency, Cianjur Regency, Bandung Regency, Garut Regency, Tasikmalaya Regency, Cirebon Regency, Indramayu Regency, Karawang Regency, Bekasi City
Microscale strain distribution measurement before and after crack and delamination occurrence in CFRP laminates by multiplication sampling moiré method

Authors:
raw_author_name: Xinyun Xie
raw_affiliation_string: Beihang University (China)
raw_author_name: Qinghua WANG
raw_affiliation_string: Beihang University (China)
raw_author_name: Xiaojun YAN
raw_affiliation_string: Beihang University (China)

Abstract: The multiplication sampling moiré (MSM) method achieves a strong noise-immunity deformation measurement by performing phase analysis of the second harmonic of grating patterns, which surpasses the limitation of the conventional sampling moiré method that produces phase errors when the first harmonic is submerged by the background noise. In this study, the multiplication sampling moiré method was utilized to investigate the fracture behavior of a [±15°]2s carbon fiber reinforced plastic (CFRP) laminate specimen under different tensile loads. The full-field microscopic strain distribution maps, including the normal, shear, and principal strains, were successfully measured on the cross-section of the CFRP laminates with fiber discontinuities. The results show strain distribution characteristics before and after transverse crack occurrence in the matrix resin region of the CFPR laminates, and the changes in shear strain at the interlayer interfaces before and after the emergence of delamination. The MSM method holds promise for evaluating mechanical properties, fracture behavior, characterizing strain distributions, and residual stresses in deformation measurements of various structural and composite materials.
Stitching in fixed wide-field-of-view scenarios

Authors:
raw_author_name: qiyu wei
raw_affiliation_string: Shanghai University (China)
raw_author_name: yingjie yu
raw_affiliation_string: Shanghai University (China)

Abstract: In certain scenarios, due to the limitation of a single camera in capturing the entire scene, we need to employ multiple cameras to gather information and seamlessly fuse multiple local images into a panoramic image, showcasing significant potential across a wide range of application domains. This paper focuses on the theory and practice of image stitching in fixed wide-field-of-view scenarios. Firstly, we delve into the fundamental principles and methods of image stitching, including feature extraction, feature matching, and image blending. Secondly, we provide an overview and analysis of current state-of-the-art image stitching algorithms, exploring their advantages and limitations, particularly in the context of fixed field of view. To address the common challenges in fixed wide-field-of-view image stitching, this paper proposes a novel stitching algorithm based on grid distortion. By utilizing multiple sets of scene images to guide the new image stitching process, we achieve higher precision in image matching and blending while retaining fine details. Experimental results demonstrate the effectiveness of our approach in a self-constructed scene.
Online Deterministic 3D Trajectory Generation for Electric Vertical Take-Off and Landing Aircraft

Authors:
raw_author_name: Dominik Heimsch
raw_affiliation_string: Institute of Flight System Dynamics, Technical University of Munich, 85748 Garching near Munich, Germany
raw_author_name: Hugh Liu
raw_affiliation_string: Institute for Aerospace Studies, University of Toronto, Toronto, ON M3H 5T6, Canada
raw_author_name: Florian Holzapfel
raw_affiliation_string: Institute of Flight System Dynamics, Technical University of Munich, 85748 Garching near Munich, Germany

Abstract: The use of non-piloted eVTOL aircraft in non-segregated airspace requires reliable and deterministic automatic flight guidance systems for the aircraft to remain predictable to all the users of the airspace and maintain a high level of safety. In this paper we present a 3D trajectory generation module based on clothoid transition segments in the horizontal plane and high order polynomial transition segments in the vertical plane. The expressions of the coefficients of the polynomial are derived offline are used to generate the trajectory online, making the system capable of running in real time without requiring enormous computational power. For the horizontal plane, we focus on the flyby transition, and therefore present a thorough analysis of the flyby geometry and the limitations linked to this geometry and the construct of three-segment trajectory generation around a fixed turn rate. We present feasible solutions for these limitations, and show simulation results for the combined horizontal and vertical plane concepts, allowing the system to generate complex 3D trajectories.
A calibration method for LED point light sources in near-field photometric stereo

Authors:
raw_author_name: Rongguang Wang
raw_affiliation_string: Key Lab. of Intelligent Optical Measurement and Detection of Shenzhen (China); Shenzhen University (China)
raw_author_name: Jing Yu
raw_affiliation_string: Key Lab. of Intelligent Optical Measurement and Detection of Shenzhen (China); Shenzhen University (China); University of Wollongong (Australia)
raw_author_name: Xiaojie Zhang
raw_affiliation_string: Key Lab. of Intelligent Optical Measurement and Detection of Shenzhen (China); Shenzhen University (China)
raw_author_name: Qijian Tang
raw_affiliation_string: Key Lab. of Intelligent Optical Measurement and Detection of Shenzhen (China); Shenzhen University (China)
raw_author_name: Xiaoli Liu
raw_affiliation_string: Key Lab. of Intelligent Optical Measurement and Detection of Shenzhen (China); Shenzhen University (China)

Abstract: In near-field photometric stereo vision, the accurate calibration of the light source position directly affects the precision of the reconstruction results. Traditional calibration techniques rely on a highly reflective sphere and exploit the specular reflection properties at highlight points for determining light source positions. However, in real-world scenarios, nonuniform lighting conditions often leads to errors in extracting the sphere's image edges, affecting the accuracy of light source position calibration. Therefore, we propose a method for calibrating light source position based on a novel target. This method involves detecting planar reference points that are less sensitive to the lighting conditions and leveraging the pose relationship provided by the planar reference points to effectively overcome the adverse effects of lighting conditions on light source position calibration. Experimental results demonstrate that this method significantly enhances the precision of light source position calibration under non-uniform lighting conditions, eliminating the constraint of light source position calibration on specific lighting environments.
Multiple-image authentication scheme based on the phase-only holograms

Authors:
raw_author_name: ZiShan Jiang
raw_affiliation_string: Xi'an University of Technology (China)
raw_author_name: Liansheng Sui
raw_affiliation_string: Shaanxi Key Lab. for Network Computing and Security Technology (China); Xi'an University of Technology (China)
raw_author_name: Jiahao Wang
raw_affiliation_string: Xi'an University of Technology (China)
raw_author_name: Zhaolin Xiao
raw_affiliation_string: Xi'an University of Technology (China)

Abstract: A multiple-image cryptographic authentication scheme based on phase-only holograms is proposed in this paper. First, computer-generated holograms of original images to be authenticated are encoded to phase-only holograms using the Floyd-Steinberg error diffusion algorithm. Second, each phase-only hologram image is randomly sampled as the sparse representation with the help of its random binary mask. Finally, the phase-only ciphertext containing the information of original images is obtained by integrating all sparse representations using their binary masks. The existence of each original image can be verified by calculating the nonlinear correlation map between it and its corresponding decrypted result. High security level of this cryptosystem can be achieved by considering random binary masks as secret keys. This work provides an effective alternative for the related research based on computer-generated holograms.
CycleSR: unsupervised learning for 3D fingerprint super-resolution

Authors:
raw_author_name: Haixia Wang
raw_affiliation_string: Zhejiang Univ. of Technology (China)

Abstract: Fringe projection profilometry has been applied to measure 3D information of fingertip and collect contactless 3D fingerprints. When low-resolution (LR) camera is used in the system due to reasons such as cost, the captured fringe patterns may appear blurry, which results in less obvious contrast between valleys and ridges in the reconstructed contactless 3D fingerprints. To address this issue, we introduce an unsupervised super-resolution (SR) method that solely relies on low-resolution fringe patterns. Our approach combines a two-loop generative adversarial network. In the forward loop, a binarized interpolation loss function is designed to ensure that the upsampling generator preserves ridge and valley details. In the backward loop, the discriminator ensures that the fringe patterns produced by the downsampling generator are both repeatable and similar to the original fringe patterns. Finally, the fringe patterns are reconstructed to obtain 3D fingerprints. Experimental results demonstrate the advantages of our proposed method.
RECOMMENDATIONS FOR PEDAGOGICAL WORKERS AND PARENTS REGARDING PEDAGOGICAL SUPPORT OF YOUNG CHILDREN IN EMERGENCY SITUATIONS

Authors:
raw_author_name: Zhytnik T
raw_affiliation_string: Мелітопольський державний педагогічний університет імені Богдана Хмельницького

Abstract: Тhe article is devoted to the urgent problem of providing the youngestmembers of society – young children (from 1 to 3 years) with reliable andeffective pedagogical support during emergency events. An interpretationof the meaning of the terms: «early age», «pedagogical support»,«emergency situation» is provided, the main developments of foreign anddomestic scientists on the investigated problem are presented. An urgentproblem today is the need to highlight the importance of understanding byteachers and parents/guardians the peculiarities of children's developmentat an early age during stressful situations. The main goal of the article is toprovide specific pedagogical recommendations to both teachers andparents/guardians, which will effectively contribute to the adaptation,learning, upbringing and development of young children affected byemergency situations; to emphasize the importance of joint work andmutual understanding between pedagogical and family factors to improvethe quality of pedagogical support for young children in crisis situations.Specific pedagogical recommendations are described, both for pedagogicalworkers and for parents/guardians, who play a key role in shaping theresilience and well-being of young children in emergency situations.
Measurement depth modeling and extension for geometric constraint phase unwrapping method

Authors:
raw_author_name: Gaoxu Wu
raw_affiliation_string: Jiangxi University of Science and Technology (China)

Abstract: As an important phase unwrapping method in Fringe Projecting Profilometry, the geometric constraint enables pixel-by-pixel computation while avoiding the projection of additional patterns. However, its measurement depth is limited to one fringe period and influenced by multiple factors from the camera-projector system. There is still a lack of a generalized model that can describe the measurement depth. In this paper, to completely understand the variables related to the measurement depth, we analyze the unwrapping process of geometric constraint and derive a generalized model. To validate the key variables in the model, we establish a virtual camera-projector system and conduct simulations. Based on the simulation results, we propose four ways to extend the measurement depth, including (a) selecting a reference plane farther away from the camera, (b) designing the fringe patterns with fewer periods, (c) using the shorter focal lens and (d) reducing the camera-projector distance.
Adaptive-resolution-based high-resolution indoor 3D perceiving in fringe projection profilometry

Authors:
raw_author_name: Yuanlu Xue
raw_affiliation_string: Nanjing University of Science and Technology (China)
raw_author_name: Yang Zhao
raw_affiliation_string: Nanjing University of Science and Technology (China)
raw_author_name: Jing Han
raw_affiliation_string: Nanjing University of Science and Technology (China)
raw_author_name: Dongliang Zheng
raw_affiliation_string: Nanjing University of Science and Technology (China)

Abstract: Fringe projection profilometry (FPP) is one of the most widely used optical three-dimensional (3D) perceiving techniques. However, in the realm of indoor 3D perceiving, achieving high-resolution data proves challenging due to the inherent trade-off between sampling resolution and measurement scale. This paper introduces an adaptive-resolution-based method to address this challenge. Specifically, the approach leverages the super-resolution reconstruction technique to enhance the resolution of captured fringe patterns, where an end-to-end fringe pattern super-resolution network (FPSRNet) is constructed to adaptively achieve different super-resolution values. The desired high-resolution 3D results can be reconstructed from these new patterns. Experimental results verify the effectiveness of the proposed method in indoor 3D perceiving.
Body measurement based on a multiview structured light 3D imaging system

Authors:
raw_author_name: Meng Wang
raw_affiliation_string: Key Lab. of Intelligent Optical Measurement and Detection of Shenzhen (China); Shenzhen University (China)
raw_author_name: Hailong Chen
raw_affiliation_string: Shenzhen Technology University (China)
raw_author_name: Qijian Tang
raw_affiliation_string: Key Lab. of Intelligent Optical Measurement and Detection of Shenzhen (China); Shenzhen University (China)
raw_author_name: Xiang Peng
raw_affiliation_string: Key Lab. of Intelligent Optical Measurement and Detection of Shenzhen (China); Shenzhen University (China)
raw_author_name: Yu Fu
raw_affiliation_string: Key Lab. of Intelligent Optical Measurement and Detection of Shenzhen (China); Shenzhen University (China)
raw_author_name: Xiaoli Liu
raw_affiliation_string: Key Lab. of Intelligent Optical Measurement and Detection of Shenzhen (China); Shenzhen University (China)

Abstract: In this paper, a multi-view structured light three dimensional (3D) imaging system is descried, which can perform rapid 3D reconstruction of the human body and automatically extract anthropometric data from it. This system contains 12 sets of 3D imaging sensors distributed on four pillars. Each 3D imaging sensor consists of a binocular stereo system, an Infrared laser projector and a synchronous control system based on the Field Programmable Gate Array (FPGA). The projector provides phase-shifting fringe patterns and gray code for the binocular stereo system to make 3D reconstruction. The FPGA control system enables the sensor to achieve high speed scanning. A two-step calibration method is used to calibrate the internal and external parameters of each 3D imaging sensor and external parameters between these sensors. After the 3D human body data acquisition, major body joints will be extracted as key-points. In this process, the initial location of these key-points are extracted based on a deep learning method, and then they are further corrected with local point cloud analysis. With the assistance of these key-points, the anthropometric data, such as distances (lengths, breadths, heights) and circumferences of the human body, can be calculated from its 3D data. Based on the techniques described above, the multi-view 3D imaging system can complete the whole body scanning in 2 seconds and automatically measure more than sixty dimensional data after analyzing the reconstructed 3D human data.