Reviewerly/exHarmony huggingface dataset:
${\sf {FAST}}$: Disk encryption and beyond

&lt;p style='text-indent:20px;'&gt;This work introduces ${\sf {FAST}}$ which is a new family of tweakable enciphering schemes. Several instantiations of ${\sf {FAST}}$ are described. These are targeted towards two goals, the specific task of disk encryption and a more general scheme suitable for a wide variety of practical applications. A major contribution of this work is to present detailed and careful software implementations of all of these instantiations. For disk encryption, the results from the implementations show that ${\sf {FAST}}$ compares very favourably to the IEEE disk encryption standards XCB and EME2 as well as the more recent proposal AEZ. ${\sf {FAST}}$ is built using a fixed input length pseudo-random function and an appropriate hash function. It uses a single-block key, is parallelisable and can be instantiated using only the encryption function of a block cipher. The hash function can be instantiated using either the Horner's rule based usual polynomial hashing or hashing based on the more efficient Bernstein-Rabin-Winograd polynomials. Security of ${\sf {FAST}}$ has been rigorously analysed using the standard provable security approach and concrete security bounds have been derived. Based on our implementation results, we put forward ${\sf {FAST}}$ as a serious candidate for standardisation and deployment.&lt;/p&gt;
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The sequence of test domains might affect test-takers??scores in an English diagnostic test, in particular, for the students whose English language...
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The purpose of this study is to apply a new evaluation tool to gifted students and to analyze the results using science book reports to evaluate...
UNDERSTANDING CHINESE KĀI AND GUĀN WHEN REMINDING PEOPLE TO SWITCH MOBILE MODE

This study investigates why people identically understand both Mandarin expressions 請將手機開震動/qǐng jiāng shǒu jī kāi zhèn dòng and請將手機關震動/qǐng jiāng shǒu jī guān zhèn dòng, which both mean please set your phone to vibrate. Four perspectives can be employed to explain. Firstly, the embodiments or imageries of 開/kāi/open and關/guān/close function in the expressions. However, only examining both expressions via imageries is insufficient to explain all the aspects. Relevance theory and the figure and ground relationship influence people’s selection of the expressions because the focus is different. Finally, people may directly connect the two actions kāi and guān to a single action, 按/àn/press, because of the development of touchscreen technology. Therefore, kāi and guān become similar under the context of reminding people to change their mobile into silent or vibration mode because no matter which expression is heard, the only action people have to do is to press or touch a specific icon on their smartphones.
A Performance Analysis of Container Cluster Networking Alternatives

The use of containers in the informatics industry is increasing rapidly day by day. Although containers have many advantages, such as flexibility, readiness, easy configurability, scalability and low resource consumption, previous researches showed that there are momentous decrements in network performance in containerized cluster environments. Yielded packet sizes and data transfer methods play important roles in the network performance for the networking solutions used in container clusters. As different applications apply different packet sizes and transfer methods, it is of the essence to find and use the best performing networking solution according to application needs. Hence, it is quite important to identify the most convenient container networking solution, especially in production environments. This research analyzed the throughput and latency at varying message sizes on bulk and HTTP-like data transfer methods for container cluster networking solutions, which are Libnetwork, Flannel, Calico, Weave and Open Virtual Networking for Open vSwitch. Furthermore, it compared the performance of cluster networking solutions with a native host. As a result of the experiments, Open Virtual Networking for Open vSwitch and Calico were found to be the most adequate solutions for production environments with the highest throughput and minimum latency values depending on selected message sizes and transfer methods. In addition, a bare-metal host generally outperforms all the container networking solutions except HTTP-like transfer throughput results at a large message size. Hence, this study also demonstrates the offloading impact in container networking solutions.
Semi-Supervised Learning-Based Image Denoising for Big Data

In this paper, the research of image noise reduction based on semi-supervised learning is carried out, and the neural network is used to reduce the noise of the image, so as to achieve more stable and good image display ability. Based on the convolutional neural network algorithm, the role of activation function optimization network is studied, combined with semi-supervised learning modes such as multi-feature extraction technology, to learn and extract the key features of the input image. Semi-supervised residual learning based on convolutional network is a good image denoising and denoising network model. Compared with other excellent denoising algorithms, it has very good results. At the same time, it greatly improves the image noise pollution and makes the image details clearer. At the same time, compared with other image denoising algorithms, this algorithm can show a good peak signal-to-noise ratio under various noise standard deviations. Through the research in this article, it is verified that the improved convolutional neural network denoising model and multi-feature extraction technology have strong advantages in image denoising.
Study and application of 2D fusion static correction technology in Loess Plateau

PreviousNext You have accessSEG Technical Program Expanded Abstracts 2020Study and application of 2D fusion static correction technology in Loess PlateauAuthors: Qigang ZhouQin SuHuan LiuYan HuangQigang ZhouNorthwest Branch of China Petroleum Exploration and Development InstituteSearch for more papers by this author, Qin SuNorthwest Branch of China Petroleum Exploration and Development InstituteSearch for more papers by this author, Huan LiuNorthwest Branch of China Petroleum Exploration and Development InstituteSearch for more papers by this author, and Yan HuangNorthwest Branch of China Petroleum Exploration and Development InstituteSearch for more papers by this authorhttps://doi.org/10.1190/segam2020-3427893.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractThe surface structure of Loess Plateau in the south of Ordos Basin is complex, and the problem of static correction is very serious. How to effectively solve the problem of static correction in Loess Plateau area is the primary task and one of the main technical difficulties of seismic data processing in this area, and it is also the basis of subsequent seismic data processing. In view of the serious static correction problem in the Loess Plateau area of Ordos Basin, this paper proposes the fusion static correction technology. Firstly, the tomographic statics and refraction statics are decomposed into high-frequency component and low frequency component respectively, and then the high frequency component and low-frequency component are optimally combined again based on the imaging effect and structural form, so as to a new set of statics is obtained. The fusion static correction technology integrates the advantages of tomographic static correction technology and refraction static correction technology. The practical application results show that fusion static correction technology can achieve the best static correction effect when solving the static correction problem of seismic data in Loess Plateau area, so it is an effective method to solve the static correction problem in Loess Plateau area of Ordos Basin.Presentation Date: Tuesday, October 13, 2020Session Start Time: 1:50 PMPresentation Time: 2:40 PMLocation: Poster Station 5Presentation Type: PosterKeywords: 2D, statics, AsiaPermalink: https://doi.org/10.1190/segam2020-3427893.1FiguresReferencesRelatedDetails SEG Technical Program Expanded Abstracts 2020ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2020 Pages: 3887 publication data© 2020 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 30 Sep 2020 CITATION INFORMATION Qigang Zhou, Qin Su, Huan Liu, and Yan Huang, (2020), "Study and application of 2D fusion static correction technology in Loess Plateau," SEG Technical Program Expanded Abstracts : 1970-1973. https://doi.org/10.1190/segam2020-3427893.1 Plain-Language Summary Keywords2DstaticsAsiaPDF DownloadLoading ...
Intelligent Recognition of Bladder Cancer Based on Convolutional Neural Network

Bladder cancer is the most common malignant tumor in urology. However, due to the diverse morphology of bladder tumor, including villous, follicular, flat erythema, etc., it is sometimes difficult for doctors to distinguish by eye from a variety of benign inflammatory diseases. This may lead to misdiagnosis or missed diagnosis. In this paper, we present a convolutional neural network based deep learning model for tumor recognition that efficiently realizes the intelligent recognition of cystoscope images and achieves a good recognition accuracy in experiments.
Analysis on Detection of Shilling Attack in Recommendation System

Recommendation system is a system that attempts to predict the outcome of user according to his/her interest. Recommendation system mostly uses collaborative filtering algorithms. Although this recommendation system is successful in e-commerce sites, these collaborative filtering-based recommendation systems are exposed to shilling attacks. In this, attackers insert false profile information to have an impact on prediction or recommendation of the recommendation system. The consequence of shilling attack on recommendation system, categorization of shilling attacks, detection algorithms and evaluation metrics are provided by this paper.
Waterway Design Criteria of Land Reclamation Based on an Environmental Fluid Dynamics Computer Model

Jiang, W.; Zhang, H.; Peng, J.; Song, C., and Li, X., 2020. Waterway design criteria of land reclamation based on an environmental fluid dynamics computer model. In: Yang, D.F. and Wang, H. (eds.), Recent Advances in Marine Geology and Environmental Oceanography. Journal of Coastal Research, Special Issue No. 108, pp. 89–94. Coconut Creek (Florida), ISSN 0749-0208.Planning design criteria are critical for offshore artificial island land reclamation. To evaluate the coastal environmental impact of land reclamation, a quantitative analysis is carried out based on an environmental fluid dynamics computer (EFDC) model. Eight hypothetical waterway conditions are simulated in three groups (island–shore distance, island–island distance, and waterway direction). The effects of different conditions are compared by hydrodynamic characteristics and water exchange capacity. Based on the simulation results, the waterway design principles could be summarized as three aspects: (1) increasing the distance between the islands and the coast is beneficial to improving water circulation capacity, (2) the distance between artificial islands should be reduced as much as possible to speed up the water flow in the waterway, and (3) the waterways segregating the artificial islands should be as parallel to the coast as possible. It can be observed that the proposed waterway design criteria could provide effective and environmentally friendly guidance for future planning and construction.
Research on Key Agreement Security Technology Based on Power Grid Internet of Things

With the rapid development of information technology, the Power grid Internet of Things technology has been integrated into all aspects of life. The intelligent network formed by the Power grid Internet of Things that interconnects people, things and things has greatly promoted the intelligent development in various fields. However, due to the large number of IoT devices and the limited resources of many devices, it has brought huge challenges to the protection of IoT information data and device management. This paper proposes a lightweight and secure IoT authentication key agreement protocol for the problems in the IoT environment. The protocol adds identity authentication based on the ECDH algorithm to prevent man-in-the-middle attacks. The identity authentication part is designed based on the dynamic password technology with hash as the main operation, and realizes the mutual authentication of the dynamic password based on the identification. The entire protocol has good security and can effectively resist man-in-the-middle, impersonation, eavesdropping, and replay attacks, ensuring the security of IoT device communications. At the same time, the protocol resource overhead is small, and it can adapt to resource-limited IoT devices. In addition, the authentication mechanism combined with cloud-edge-end collaboration can efficiently manage many IoT devices.
Virtual interferometer based on vector formula of ray tracing

The digital Moire interferometer technique (DMIT) based on partial compensation principle is an effective approach for aspheric and freeform measurement. Besides a real interferometer, virtual interferometer, as a part of DMIT, plays an important role in the phase-shifting and alignment. The virtual interferometer based on the ray tracing, by creating a light path which is exactly the same with the actual interferometer, can obtain a simulated virtual interferogram for the phaseshifting and alignment. Generally, the ray tracing is simulated by Zemax software. However, due to the limitation of software, a communication delay between Zemax and other modules will influence the efficiency and response time of the whole system. So, how to realize ray tracing in an efficient way is still worth exploring. In this paper, we present a method for tracing ray to improve the efficiency. By using the vector formula of ray tracing, we can improve the calculation accuracy and shorten the calculation time of ray tracing, which can be used in most optical systems. Furthermore, we implement the algorithm of virtual interferometer on the basis of Visual C++, which is the software development platform of DMIT. In this way, we can integrate the virtual interferometer into the software system of DMIT, and then reduce the calling time between modules. Several simulation results are present to validate the feasibility of our method.
On the Branching Bias of Syntax Extracted from Pre-trained Language Models

Many efforts have been devoted to extracting constituency trees from pre-trained language models, often proceeding in two stages: feature definition and parsing. However, this kind of methods may suffer from the branching bias issue, which will inflate the performances on languages with the same branch it biases to. In this work, we propose quantitatively measuring the branching bias by comparing the performance gap on a language and its reversed language, which is agnostic to both language models and extracting methods. Furthermore, we analyze the impacts of three factors on the branching bias, namely parsing algorithms, feature definitions, and language models. Experiments show that several existing works exhibit branching biases, and some implementations of these three factors can introduce the branching bias.
Key Technology and Application of Customer Data Security Prevention and Control in Public Service Enterprises

As the value of the big data is revealed, the problem of security prevention and control of customer service data is highlighted. Once the leakage of sensitive customer information will cause serious legal consequences. At present, State Grid Corporation has effectively resisted the risk of data collection, storage, and transmission through internal and external network isolation and data encryption. However, at the data application level, due to frequent data sharing and business collaboration, new risks of leakage continue to emerge in data mining, data interaction between systems, terminal data access, etc. This article first analyzes the risks faced by data security in terminal data access, cross-domain data transfer, and open data sharing. Then, it proposes terminal data access behavior management and control technology, data cross-domain transfer security interaction technology, and data differentiated privacy protection technology in open sharing. Finally, t on the basis of technical research, the core equipment of data protection was developed and tested, and verified the effectiveness of the technology in practice.
Source Analysis of Ethylene Oxide Sterilization Residues in Medical Devices

At present, the most commonly used sterilization method for medical devices is ethylene oxide sterilization. The residue after sterilization is closely related to the health of the people who contacted with the medical devices. The study team analyzed the possible residues of medical devices after sterilization with ethyleneoxide. It is suggested that ethylene oxide, 2-chloroethanol and ethylene glycol should be evaluated comprehensively through the analysis of factors such as production links of medical devices, production process of ethylene oxide, sterilization process, sterilization environment and detection method.
Reconstructing A Large Scale 3D Face Dataset for Deep 3D Face Identification

Deep learning methods have brought many breakthroughs to computer vision, especially in 2D face recognition. However, the bottleneck of deep learning based 3D face recognition is that it is difficult to collect millions of 3D faces, whether for industry or academia. In view of this situation, there are many methods to generate more 3D faces from existing 3D faces through 3D face data augmentation, which are used to train deep 3D face recognition models. However, to the best of our knowledge, there is no method to generate 3D faces from 2D face images for training deep 3D face recognition models. This letter focuses on the role of reconstructed 3D facial surfaces in 3D face identification and proposes a framework of 2D-aided deep 3D face identification. In particular, we propose to reconstruct millions of 3D face scans from a large scale 2D face database (i.e.VGGFace2), using a deep learning based 3D face reconstruction method (i.e.ExpNet). Then, we adopt a two-phase training approach: In the first phase, we use millions of face images to pre-train the deep convolutional neural network (DCNN), and in the second phase, we use normal component images (NCI) of reconstructed 3D face scans to train the DCNN. Extensive experimental results illustrate that the proposed approach can greatly improve the rank-1 score of 3D face identification on the FRGC v2.0, the Bosphorus, and the BU-3DFE 3D face databases, compared to the model trained by 2D face images. Finally, our proposed approach achieves state-of-the-art rank-1 scores on the FRGC v2.0 (97.6%), Bosphorus (98.4%), and BU-3DFE (98.8%) databases. The experimental results show that the reconstructed 3D facial surfaces are useful and our 2D-aided deep 3D face identification framework is meaningful, facing the scarcity of 3D faces.
Demonstration of an Exponential Advantage in Communication Complexity via the Quantum Switch

The quanhim switch is a tool that allows coherently controlling the order in which two operations are applied. We report the first experimental demonstration of the exponential advantage in communication complexity enabled by this tool.
Improving Performance of Recommendation System Architecture

The exponential appearance of online stores has implied higher market competitiveness and, consequently, companies need to adopt certain strategies to obtain greater prominence and gain clientele. This paper explores an architectural approach to incorporate a recommendation system in online stores, in order to offer a solution to achieve those goals. Developing the recommendation system infrastructure with NodeJS, based on a REST API, and according to microservices architecture concepts, has proven to be very efficient when it comes to managing great volumes of requests and data, and be capable to serve multiple tenants within a short response time. Clustering techniques were also implemented to increase the system’s performance and capability of handling requests.
Assessing gait variability from cellphone IMU placed in several locations: a feasibility study

Cellphones have transformed how people live, work, and communicate. Similarly, they are becoming excessively popular in reshaping the healthcare system because of their accessibility, affordability...
A Lightweight Dual Authentication Protocol for the Internet of Vehicles

With the development of 5G communication technology, the status of the Internet of Vehicles in people's lives is greatly improved in the general trend of intelligent transportation. The combination of vehicles and Radio Frequency Identification (RFID) makes the application prospects of vehicle networking gradually expand. However, the wireless network of the Internet of Vehicles is open and mobile, so it can be easily stolen or tampered with by attackers. Moreover, it will cause serious traffic security problems and even threat people's lives. In this paper, we propose a lightweight authentication protocol for the Internet of Vehicles based on a mobile RFID system and give corresponding security requirements for modeling potential attacks. The protocol is based on the three-party mutual authentication, and uses bit-operated left-cycle shift operations and hetero-oriented operations to generate encrypted data. The simultaneous inclusion of triparty shared key information and random numbers makes the protocol resistant to counterfeit attacks, violent attacks, replay attacks and desynchronization attacks. Finally, a simulation analysis of the security protocol using the ProVerif tool shows that the protocol secures is not accessible to attackers during the data transfer, and achieve the three-party authentication between sensor nodes (SN), vehicle nodes (Veh) and backend servers.
Characterization of Data Generating Neural Network Applications on x86 CPU Architecture

This paper analyzes the performance of two contemporary data-generating neural network-based workloads, Neural Style Transfer and Super Resolution GAN run on x86 hardware architecture. In understanding the impact of data-readiness, we find how certain layers benefit from forced data warming-up. In examining bandwidth utilization of these layers, we identify several memory-bound layers as not necessarily being bandwidthbound hinting at the feasibility of prefetch-based solutions for improved performance. We also observe layers with specific kernel sizes performing poorly because of their unoptimized library kernel implementation. Based on our findings, we suggest directions for removing these performance bottlenecks by utilizing available bandwidth margins ≥ 90% and realizing convolution operations through vector-based functional units with a scope of at least 20x more such software-to-hardware mappings than existing implementation.