Reviewerly/exHarmony huggingface dataset:
An integrated image processing approach for 3D scanning and micro-defect detection

Restoration of high-value components via additive manufacturing requires autonomous surface scanning and defect identification. The 3D free-form surface can be reconstructed with a point cloud obtained from the scanning. Laser line triangulation-based surface scanning is a promising method for generating a 3D point cloud of the component surface. In this article, a robotic defect scanning system developed using py_openshowvar, an open-source cross-platform communication interface is presented. For effective scanning of micro-scale features with minimal noise, it is crucial to optimize the scanning parameters. The scanner parameters such as exposure time and stand-off distance have been optimized for accurate feature detection. After selecting optimal scanning parameters, a generic algorithm is presented for generating a scanning path for automatic scanning of the 3D parts. Surfaces with pre-fabricated micro-defects are automatically scanned using this algorithm, and an integrated image-processing-based defect identification technique is presented. The geometries obtained from the presented technique were validated using focus variation microscopy, and the results are in good agreement with actual defect geometry, and the measurement error is below 9%.
P‐3.20: A Novel Algorithm for Nighttime Image Dehazing

In recent years, nighttime images collected under haze weather often have problems such as low contrast and serious texture loss. The previous algorithms still have some limitations for nighttime dehazing. In this paper, we proposed a novel nighttime dehazing algorithm and compare our results with existing daytime and nighttime dehazing algorithms� results. The experimental results show that the proposed algorithm has a better dehazing performance and shorter runtime. This algorithm can effectively address image distortion, texture loss and low brightness of the dehazing images.
16.5: Key Technologies and Algorithm of Measurement for Mini‐LED‐backlit LCDs

Mini‐LED‐backlit LCD display has extremely high dynamic range and contrast ratio, but also brings halo effect. The halo phenomenon will make the original high‐definition, high‐contrast picture seems to be covered with a veil, which reduces the visibility and quality of the picture, and cannot reflect the superiority of HDR display. Based on the measurement and evaluation requirements of Mini‐LED‐backlit LCD displays, this paper proposes a test and evaluation scheme for halo phenomenon, and analyzes the key factors affecting the measurement, including the V(λ) mismatch, measurement lower limit and dynamic range, imaging quality of imaging luminance meter and halo evaluation algorithm based on Mura analysis, etc. .
A linear algorithm for semi-external cutnode computation

• A comprehensive study for the semi-external cutnode problem is presented. • A novel semi-external cutnode algorithm SECN is developed. • SECN is a linear algorithm only consuming O(m + n) time and O(m/B) I/Os. • Extensive experiments are conducted on both real and synthetic datasets . In the literature, many algorithms have been proposed for finding cutnodes on undirected graphs, since cutnodes are crucial to graph connectivity. Here, a cutnode of an undirected graph G is a node of G , whose deletion will cause a reachable pair of the other nodes in G to be unreachable. Currently, the difficulty of maintaining the entire G in the main memory makes researchers pay attention to compute cutnodes on semi-external memory model. This paper shows that traditional semi-external algorithms are limited by their unbounded time and I/O consumption, making them impractical when G is relatively large or complex. Thus, we propose a linear s emi- e xternal c ut n ode computation algorithm, named SECN. Assuming that G has n nodes and m edges, and B is the disk block size. SECN is the first that can find all the cutnodes of G in O ( m + n ) time and with O ( m B ) I/O cost on the semi-external memory model, as far as we know. SECN also has a smaller minimum memory space requirement than traditional algorithms. Our experimental evaluation conducted on both synthetic and real graphs confirms that SECN significantly outperforms existing algorithms (up to 10 3 times faster).
Pruning techniques in LinCbO for the computation of the Duquenne-Guigues basis

In our previous work, we introduced LinCbO—an algorithm for fast computation of the Duquenne-Guigues basis based on Close-by-One and LinClosure. We also proposed additional speed-ups using pruning techniques, like those used in FCbO, In-Close, or LCM . In the present work, we describe the pruning techniques for LinCbO and experimentally evaluate their effect. Additionally, we describe and evaluate algorithms using a similar idea to LinCbO but using naïve closure or Wild’s closure instead of the LinClosure. According to our extensive experimental evaluation, LinCbO with pruning techniques performs significantly faster than already known algorithms. The differences between the performance of the four pruning techniques seem negligible.
P‐3.11: An Improved Compression Method of HDR Image Dynamic Range

People have higher and higher requirements for image quality at present. High dynamic range (HDR) images are widely used in film, television, medical and other fields, and have become an important research direction in the field of image processing. Aiming at the problem of information loss in the dark and bright areas of the image caused by the existing dynamic range compression method, this paper improves the traditional logarithmic domain dynamic range compression method, and realizes the overall image adjustment according to the adaptability of the human eye to the brightness. While the dynamic range is compressed, more information about the darker and brighter areas is preserved.
P‐15.7: The Electrical Simulation of Capacitive Touch Panel

SID Symposium Digest of Technical PapersVolume 53, Issue S1 p. 1043-1046 Poster Session: P-15: Touch and Interactive Display P-15.7: The Electrical Simulation of Capacitive Touch Panel Xue Zhao, Xue Zhao HeFei Xinsheng Optoelectronics Technology Co., LTD, Hefei, Anhui, 230012 ChinaSearch for more papers by this authorZongjie Guo, Zongjie Guo HeFei Xinsheng Optoelectronics Technology Co., LTD, Hefei, Anhui, 230012 ChinaSearch for more papers by this authorXiaodong Xie, Xiaodong Xie HeFei Xinsheng Optoelectronics Technology Co., LTD, Hefei, Anhui, 230012 ChinaSearch for more papers by this authorZouming Xu, Zouming Xu HeFei Xinsheng Optoelectronics Technology Co., LTD, Hefei, Anhui, 230012 ChinaSearch for more papers by this author Xue Zhao, Xue Zhao HeFei Xinsheng Optoelectronics Technology Co., LTD, Hefei, Anhui, 230012 ChinaSearch for more papers by this authorZongjie Guo, Zongjie Guo HeFei Xinsheng Optoelectronics Technology Co., LTD, Hefei, Anhui, 230012 ChinaSearch for more papers by this authorXiaodong Xie, Xiaodong Xie HeFei Xinsheng Optoelectronics Technology Co., LTD, Hefei, Anhui, 230012 ChinaSearch for more papers by this authorZouming Xu, Zouming Xu HeFei Xinsheng Optoelectronics Technology Co., LTD, Hefei, Anhui, 230012 ChinaSearch for more papers by this author First published: 17 October 2022 https://doi.org/10.1002/sdtp.16188AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL References 1 Hong-Ki Kim, Seunggun Lee, Kwang-Seok Yun. Capacitive tactile sensor array for touch screen application [J]. Sensors and Actuators A: Physical, 165, 2– 7 (2011). 2 Xie Jiangrong, Pan Fengming, Wu Zhengnan, et al. Electrode Design and Analysis of Projected Capacitive Touch Panel [J]. Optoelectronic Technology, 36(3), 200– 204 (2016). 3 Xie Jiangrong, Pan Fengming, Wu Zhengnan, et al. Simulation of capacitive touch screen based on COMSOL [J]. China Appliance Technology, 2, 78– 81 (2016) Volume53, IssueS1International Conference on Display Technology 2022 (Volume 53, Issue S1)October 2022Pages 1043-1046 ReferencesRelatedInformation
6.2: Visual perception based non‐reference binocular tone mapping algorithm

Binocular tone mapping aims to improve the overall quality of the image erceived by the human eye, and has been continuously optimized since it was proposed. Based on visual perception experiment, a series of visual perception experiments are designed for the binocular perception ability of human eyes. On this basis, a visual perception based non‐reference binocular tone mapping algorithm is proposed. The algorithm has a more streamlined and closer to the human visual perception framework, and is more adaptive in practice.
P‐2.9: The Research of Multi‐user Cooperative Interaction Model in Augmented Reality

This paper provides a review of the application equipment in multi‐user collaborative design, and analyzes and prospects by reviewing the existing interaction models in the HCI field and the CSCW field. The collaborative interaction of multiple users in the augmented reality environment has become more prominent in academic research and engineering applications. Augmented reality technology has been successfully applied in medical, education, entertainment, simulation design and other related fields. However, as far as we know, the current research on interaction in augmented reality mainly focuses on the three aspects of physical interaction, three‐dimensional interaction and mobile interaction, but there is less research about multi‐user collaborative interaction. Therefore, this article conducts a comprehensive review of the research in this field from 1998 to 2021. As more and more users are accepting augmented reality as an interactive technology, the demands of collaborative task and technology demand have been increasing among multi‐users. However, there are still some problems in existing research such as the immaturity of the collaborative application of augmented reality and the lack of interactive models for guiding the design of collaborative applications in the augmented reality environment. Therefore, it is necessary to analyze an effective collaborative interaction model to promote the realization of a prototype interaction system, so as to promote the application of augmented reality technology in collaborative interaction.
P‐16.3: Research on Real‐time Road Condition Display System Based on Vehicle Network

As human society continues to progress and develop, people's means of transport are becoming more and more advanced and road conditions more and more complex. In the case of complex traffic conditions, the amount of information available to people driving cars in a short period of time is relatively small for the overall traffic system. Based on the development of the Internet of vehicles technology, this paper proposes a method based on the Internet of vehicles system to present the out‐of‐line‐of‐sight traffic information to vehicle drivers by receiving the out‐of‐line‐of‐sight vehicle information from the roadside unit and obtaining the roadside pedestrian information combined with visual perception. Firstly, the roadside unit receives information on all traffic participants in the traffic node, where vehicle information is obtained by connecting the vehicle unit to the roadside unit, and pedestrian and non‐motorised vehicle information is obtained by using an improved target detection algorithm to convert pedestrian and non‐motorised vehicle coordinates into world coordinates using the principle of camera imaging, thus obtaining the location information of pedestrians and non‐motorised vehicles. Then, after obtaining the information of each traffic participant, the vehicle is informed by the roadside unit, and after the position conversion between the roadside unit and the vehicle, the information of the position of each traffic participant in the view of that vehicle is obtained and the road condition is displayed through the display system.
Exploiting Metaobjects to Reinforce Data Leakage Attacks

Reflective features in modern programming languages allow programs to introspect and modify their own structures and behavior during runtime. As these self-referential capabilities are frequently adopted in practice, security of the reflective systems becomes crucial. In this paper, we explore an adversary against reflective systems with access to a data leakage channel, which has previously been considered impractical to pose a realistic threat. In particular, we show that a crucial component of reflection, referred to as metaobjects, can be exploited to reinforce these data leakage channels. We introduce a novel attack strategy that exploits certain metaobjects as in-memory gadgets to leak data in a selective and target-oriented manner, consequentially eliminating the unnecessary sampling procedures inevitable in naive data leakage attacks. Such approach significantly optimizes the data space subject to extraction, elevating the practicality of the underlying data leakage channel. As an instantiation of our strategy, we propose and demonstrate SMDL, a framework that exploits reflection to reinforce Meltdown-type attacks to steal valuable data from the victim’s memory. To demonstrate the efficacy of our attack, we implement SMDL against two different target applications, cryptographic library and deep learning service, and show that the secret key and neural network can be extracted with high accuracy and efficiency. Finally, we suggest metaobject obfuscation techniques to mitigate such exploitation.
Understanding the Behavior Transparency of Voice Assistant Applications Using the ChatterBox Framework

A voice assistant (VA) is a platform that provides users with a wide range of services via interaction with a voice application using verbal commands. Since the VA application is deployed in the cloud, its behavior is not transparent to the user, which raises privacy concerns. In this study, we developed a framework called ChatterBox, which attempts to analyze VA applications via extensive continuous interaction, to understand their behavior. ChatterBox is capable of parsing and generating dialogues by utilizing natural language processing approach. It can also parse application-level messages to understand how a VA app acquires personal information. ChatterBox supports English and Japanese, which are completely different languages, and can extract more than twice as many dialogues from VA applications compared to SkillExplorer, a state-of-the-art VA dialogue analysis system. Based on analyses of English and Japanese VA applications using ChatterBox, we revealed that 5–15% of VA applications collect personal information or recorded user identifiers in a non-transparent manner, and 76–94% applications collected personal information without providing appropriate privacy policies. In light of these findings, we discuss the implementation of a highly transparent VA application platform.
Content-Agnostic Detection of Phishing Domains using Certificate Transparency and Passive DNS

Existing phishing detection techniques mainly rely on blacklists or content-based analysis, which are not only evadable, but also exhibit considerable detection delays as they are reactive in nature. We observe through our deep dive analysis that artifacts of phishing are manifested in various sources of intelligence related to a domain even before its contents are online. In particular, we study various novel patterns and characteristics computed from viable sources of data including Certificate Transparency Logs, and passive DNS records. To compare benign and phishing domains, we construct thoroughly-verified realistic benign and phishing datasets. Our analysis shows clear differences between benign and phishing domains that can pave the way for content-agnostic approaches to predict phishing domains even before the contents of these webpages are up and running.
TrustedGateway: TEE-Assisted Routing and Firewall Enforcement Using ARM TrustZone

Gateway routers are at the heart of every network infrastructure, interconnecting subnetworks and enforcing access control policies using firewalls. However, their central position makes them high-value targets for network compromises. Typically, gateways are erroneously assumed to be hardened against software vulnerabilities ("bastion host"). In fact, though, they inherit the attack surface of their underlying commodity OSes which together with the wealth of auxiliary services available on both consumer and enterprise gateways—web and VoIP, file sharing, remote logins, monitoring, etc.—undermines this belief. This is underlined by a plethora of recent CVEs for commodity OSes and services of popular routers which resulted in authentication bypass or remote code execution thus enabling attackers full control over their security policies.
P‐2.5: Overview and Prospect of the Application of Immersive VR in Simulating Emergency Response

This article briefly describes the concepts of immersive virtual reality (immersive VR) and non‐immersive virtual reality (non‐immersive VR), and outlines the characteristics of immersive VR and its application status in emergency rescue training. The advantages and characteristics of VR and its application in the field of simulating and responding to emergencies of violent terrorist attacks, in the rescue work and medical security work of rescue personnel at the scene of violent terrorist attacks, discussed how immersive VR can simulate and respond to emergencies The advantages and disadvantages and their application prospects are of great significance to the study of simulation training for emergency rescue in the VR environment.
P‐12.10: Fast Switchable Depth‐ranging System Based on Combination of Liquid Crystal Polarization Grating and Ferroelectric Liquid Crystal Dammann Grating

In this work, a combined system including FLC high‐speed polarization rotator, liquid crystal polymerizable polarization grating, FLC switchable Dammann Grating is proposed to form tunable diffractive spot matrices and acquire depth information. By adjusting electric field, the grating can be switched between diffractive state showing 4 by 4 optical spots arrays in two areas and non‐diffractive state, respectively. At a low driving voltage of 5V, our approach renders the gratings electrically tunable with a fast response time of 50μs, which has the potential for LiDAR applications.
A quality enhancement network with coding priors for constant bit rate video coding

Video coding can effectively compress data, while the introduction of compression artifacts degrades the visual quality and the performance of artificial intelligence video applications. Video quality enhancement (VQE) methods can improve compressed video quality without modifying the coding standard’s main modules. The existing VQE works mainly aim to improve video quality in the constant quantization parameter (CQP) coding mode. However, constant bit rate (CBR) coding mode is widely used in some streaming playback video applications, and VQE at CBR is more challenging than that at CQP. This article presents a novel Constant bit rate Video quality enhancement Network combined with Coding priors (CVCN). The proposed CVCN can be inserted into High Efficiency Video Coding (HEVC) codec as a CNN-based in-loop filter (LF) module or a post-processing module out of the codec. Moreover, we design a two-pass training strategy for the LF module to overcome multiple filtering. To adapt the QP diversity of CBR videos, we utilize the coding unit (CU)-wise QP prior by constructing a CU-wise QP adaptive module (CQAM) and a QP adaptive multi-scale residual block (QAMSRB) based on CQAM. We construct the CU-partition prior (CPP) by exploiting the relationship between the compression noise and CU partition information. A novel CPP spatial-attention block is proposed to combine the CPP with the self-attention module. Furthermore, the proposed CVCN can effectively enhance CBR videos at different bits per pixel (BPP) via a single model. Extensive experimental results show the superiority of the CVCN over state-of-the-art VQE approaches for CBR videos.
Ontological Support for Harmonization and Integration of Ukrzaliznytsia Information Systems Data

Purpose. The development strategy of Ukrzaliznytsia includes the following areas: integration and standardization of information systems, increasing the truthfulness of data and automating business processes. The integration of railway information systems is possible by ontological means without changing their structure. In this work, the main aim is the analysis of existing transportation ontological developments and determination of approaches to the application of related domains developments to the objectives of Ukrzaliznytsia’s development. Methodology. Ontological developments are systematized according to the type and format of their resources, the level of data integration, and the goals of ontology-based software. Methods of system analysis are used. Findings. The analysis showed that European Union railway transport ontologies are used to integrate infrastructure description data, train timetables, and others. At the same time, insufficient attention is paid to the regulatory support of the transportation process. There are software tools for annotating texts, extracting knowledge from tables and developing ontologies, but they are not used to support the Ukrainian railway transportation process. It has been determined that the actual problem is normative documentation annotation to establish a link between the ontology and the regulation texts. Originality. The basis for achieving the development goals of Ukrzaliznytsia by ontological means was laid, using the analysis and systematization of existing ontological developments of transport and related domains. The possibilities of using ontological means in railway transport are scientifically substantiated for: formalization of regulatory support; data transformations; data integration; checking the consistency of information systems data and regulations. Practical value. The work made it possible to identify the most significant ontological projects in transport. The foundations for the implementation of the conceptualization of the tabular representation of knowledge and the development of an ontology for the integration of models of railway subsystems have been laid.