Reviewerly/exHarmony huggingface dataset:
Application of Domestic High-Resolution Satellite Data in Remote Sensing Geological Survey of the Metallogenic Belt in Zhejiang Province

A metallogenic belt is a metallogenic geological unit with rich mineral resources and potential. The study of metallogenic belts can provide a basis for mineral monitoring and deployment. Research of the metallogenic belt in Zhejiang Province is too deficient. This paper uses the domestic high-resolution satellite data from 2018 to 2021 to carry out the application of remote sensing in a comprehensive geological survey on different metallogenic belts in Zhejiang Province. The survey results show that the area of each metallogenic belt is decreasing year by year, which shows that under the regulation of the natural resources department, the unqualified mining activities in key control areas such as nature reserves, ecological red lines, and the Yangtze River economic belt are timely stopped and forcibly closed, so that the mining development order gradually tends to be good. The restoration and control points show a trend of less in the south and more in the north, mainly distributed in the economically developed areas of the northern, central, and eastern plains of Zhejiang Province. According to the statistics of the degree of mine environment restoration and treatment (treatment percentage), the Taishun-Zhoushan metallogenic belt is the highest, and treatment percentage from 2018 to 2021 is 83.01%, 80.07%, 76.91%, and 73.78%, respectively. For four consecutive years, the number of restoration and treatment projects has been increasing, and the restoration and treatment area has increased significantly. The countermeasures and suggestions for mine environmental restoration in the metallogenic belt have been put forward. In the mining area, if the geological environment is good, the rainfall is sufficient, and so on, then natural re greening can be considered. According to the brief evaluation criteria, a total of 2983 mines can be restored naturally, including 311 in the Si’an-Changxing metallogenic belt, 325 in the Lin’an-Huzhou metallogenic belt, 387 in the Kaihua-Hangzhou metallogenic Belt, 598 in the Quzhou-Shaoxing metallogenic belt, 765 in the Longquan-Shangyu metallogenic belt, and 597 in the Taishun-Zhoushan metallogenic belt. A total of 1911 mines were involved within 1 km of the “three zones and two lines”. There are 50 places in the Si’an-Changxing metallogenic belt, 151 in the Lin’an-Huzhou metallogenic belt, 236 in the Kaihua-Hangzhou metallogenic belt, 326 in the Quzhou-Shaoxing metallogenic belt, 513 in the Longquan-Shangyu metallogenic belt, and 635 in the Taishun-Zhoushan metallogenic belt. The survey results and suggestions can provide scientific basis and important reference for the local mining administration department to carry out the restoration of the mine ecological environment in metallogenic belts, and they are of great significance to promote the wide and in-depth application and technological progress of remote sensing technology.
Redirected Walking in 360° Video: Effect of Environment Size on Detection Thresholds for Translation and Rotation Gains

Using real walking to control the playback of the 360&#x00B0; videos is a natural and immersive way to match visual and self-motion perception. Redirected walking can enable users to walk in limited physical tracking space but experience larger scenes. Environment size may affect user perception in 360&#x00B0; videos. We conducted a user study about the detection thresholds (DTs) for translation and rotation gains in 360&#x00B0; video-based virtual environments in three scenes with different widths. Results show that environment size of the scene increases the DTs for both lower and upper translation gains but doesn&#x0027;t affect the DTs for rotation gains.
Keynote Speaker: The Hitchhiker's Guide to the Metaverse

We envision in the future the virtual world will mix and co-exist with the physical world in such an immersive way that we cannot tell what is real and what is virtual. We will live and interact with the virtual objects that are blended into our environments with advanced holographic technology or with high-quality head mounted displays and lose the virtuality boundary. We call such a new reality Surreality. Our vision of &#x201C;metaverse&#x201D; is a multi-world. There are multiple virtual worlds developed by different technology companies and there is also the Surreality where real and virtual merged. While the metaverse may seem futuristic, catalysed by emerging technologies such as Extended Reality, 5G, and Artificial Intelligence, the digital &#x201C;big bang&#x201D; of our cyberspace is not far away. This talk aims to offer a comprehensive framework that examines the latest metaverse development under the dimensions of state-of-the-art technologies and metaverse ecosystems, illustrates the possibility of the digital &#x201C;big bang&#x201D;, and propose a concrete research agenda for the development of the metaverse. Reality will die; long live Surreality.
Investigation of the potential use of Virtual Reality for Agoraphobia exposure therapy

Preliminary research study to evaluate the potential and need for virtual reality in the mental health sector specifically focusing on the treatment of agoraphobia. A survey was sent to numerous partici-pants that have been diagnosed and currently receiving treatment for agoraphobia. Results have concluded there is a demand for virtual reality treatment for agoraphobia and this in turn can lead to future studies into the VR therapy.
Text Encryption Based on a Novel One Dimensional Piecewise Chaotic Map

This work studies the problem of chaos-based text encryption. A novel 1-D chaotic map is proposed and studied that exhibits regions of constant chaos, and high values of Lyapunov exponent. Based on the new chaotic map, a pseudorandom bit generator is designed that passes all the National Institute of Standards and Technology (NIST) statistical tests. This PRBG is applied to the text related encryption problem by using character permutation and the exclusive OR operation. To showcase the robustness of this text encryption technique, different tests are being used with respect to attacks, like entropy, correlation, key space, and histogram analysis.
Tailored dual polarization encryption-coherence modulation-based decryption scheme for a predefined uniformly distributed noisy output image

In this paper, we propose a tailored dual polarization encryption scheme (T-DPES) based on a polarization encoding of input target images into a same predefined uniformly distributed noisy output image, using Mueller-Stokes's formalism. The optical encryption setup, based on a polarizer and a pixelated polarizer, uses a random image key as a first key and a pixelated polarizer as a second key. This key depends on the input image, the image key and the predefined uniformly distributed noisy output image. The decryption process is carried out, for the first time to our knowledge, optically by combining the coherence modulation to the DPES scheme. The performance evaluation and the crypto-analyze of T-DPES show their strength and robustness against attacks, thus overcoming limitations of previous optical encryption techniques.
Disappearance of squeezing in superposition states and its manifestation in the energy density

Abstract We have classified the superposition of squeezed wavepackets into two kinds and studied their quadrature squeezing. We have shown that the squeezing and higher-order squeezing in the quadrature disappear for the states of the first kind. However, for the second kind, it is possible to achieve the maximum amount of squeezing by adjusting the parameters in the superposition. The absence of squeezing for the superposition states is explained based on the expectation value of the energy density. We find that the expectation value of energy density in quantum wavepackets that shows no squeezing is positive. We have also studied the relationship between energy density and the squeezing in the decoherence dynamics of single and two-mode squeezed states. Our further analysis shows that different types of squeezed states, including states which are not wavepackets, exhibit negative energy density.
Structural and Semantic Features of Mental Performatives in Mathematical Text

The aim of the study is to determine the structural and semantic features of mental performatives in the Russian mathematical text. The article deals with the functioning of mental performatives that unite the consciousness of the author and the addressee. The scientific novelty lies in the systematization of the structural and semantic types of mental performatives in the mathematical text, in the definition of their metatextual function. As a result, it is proved that the scientific text is characterized by special structural and semantic ways of realizing the performative meaning. The study of the text from the point of view of the theory of performativity is an important step in the transition from semantic to pragmatic analysis.
Immersive Analytics for Ergonomics Evaluation in Virtual Reality

Utilizing the immersiveness and spatial awareness of virtual real-ity, we aim to improve ergonomic evaluations, which are key to avoid musculoskeletal disorders. We present the first iteration of an immersive analytics system for ergonomic evaluation and analysis, providing real-time and offline feedback in the same virtual environment. In addition, we provide insights from an expert interview confirming the validity and practicability of our approach.
Exponential convergence of a dissipative quantum system towards finite-energy grid states of an oscillator

Based on the stabilizer formalism underlying Quantum Error Correction (QEC), the design of an original Lindblad master equation for the density operator of a quantum harmonic oscillator is proposed. This Lindblad dynamics stabilizes exactly the finite-energy grid states introduced in 2001 by Gottesman, Kitaev and Preskill for quantum computation. Stabilization results from an exponential Lyapunov function with an explicit lower-bound on the convergence rate. Numerical simulations indicate the potential interest of such autonomous QEC in presence of non-negligible photon-losses.
Denoising of scanning electron microscope images for biological ultrastructure enhancement

Scanning electron microscopy (SEM) is of great significance for analyzing the ultrastructure. However, due to the requirements of data throughput and electron dose of biological samples in the imaging process, the SEM image of biological samples is often occupied by noise which severely affects the observation of ultrastructure. Therefore, it is necessary to analyze and establish a noise model of SEM and propose an effective denoising algorithm that can preserve the ultrastructure. We first investigated the noise source of SEM images and introduced a signal-related SEM noise model. Then, we validated the effectiveness of the noise model through experiments, which are designed with standard samples to reflect the relation between real signal intensity and noise. Based on the SEM noise model and traditional variance stabilization denoising strategy, we proposed a novel, two-stage denoising method. In the first stage variance stabilization, our VS-Net realizes the separation of signal-dependent noise and signal in the SEM image. In the second stage denoising, our D-Net employs the structure of U-Net and combines the attention mechanism to achieve efficient noise removal. Compared with other existing denoising methods for SEM images, our proposed method is more competitive in objective evaluation and visual effects. Source code is available on GitHub (https://github.com/VictorCSheng/VSID-Net).
Algebraic structure of path-independent quantum control

Path-independent (PI) quantum control has recently been proposed to integrate quantum error correction and quantum control [Phys. Rev. Lett. 125, 110503 (2020)], achieving fault-tolerant quantum gates against ancilla errors. Here we reveal the underlying algebraic structure of PI quantum control. The PI Hamiltonians and propagators turn out to lie in an algebra isomorphic to the ordinary matrix algebra, which we call the PI matrix algebra. The PI matrix algebra, defined on the Hilbert space of a composite system (including an ancilla system and a central system), is isomorphic to the matrix algebra defined on the Hilbert space of the ancilla system. By extending the PI matrix algebra to the Hilbert-Schmidt space of the composite system, we provide an exact and unifying condition for PI quantum control against ancilla noise.
Towards Interpreting Deep Learning Models to Understand Loss of Speech Intelligibility in Speech Disorders Step 2: Contribution of the Emergence of Phonetic Traits

Apart from the impressive performance it has achieved in several tasks, one of the most important factors remaining for the continuous progress of deep learning is the increased work related to interpretability, especially in a medical context. In a recent work, we presented competitive performance achieved with a CNN-based model trained on normal speech for the French phone classification and how it correlates well with different perceptual measures when exposed to disordered speech. This paper extends that work by focusing on interpretability. Here, the goal is to get insights into the way in which neural representations shape the final task of phone classification so that it can be used further to explain the loss of intelligibility in disordered speech. In this way, an original framework is proposed, relying firstly on the neural activity and a novel representation per neuron, here considering the phone classification, and, secondly, permitting to identify a set of neurons devoted to the detection of specific phonetic traits on normal speech. Faced to disordered speech, a degradation of that set of neurons is observed, demonstrating a loss of specific phonetic traits in some patients involved, and the potentiality of the proposed approaches to inform about speech alteration.
From Single-Player Games to Metaverse: A Futuristic Analysis of Challenging Legal Issues in the Video Game Industry in China

Abstract The video game industry in China is developing rapidly, and as the technologies behind games evolve many legal problems have arisen. This paper provides a detailed account of the legal problems related to legal determination of virtual objects, game modding, cloning, cracking, webcasting and machinima. It points out that the current trend in both court judgments and scholarship is to focus merely on addressing specific problems through the lens of application of the current laws lacks a holistic and futuristic perspective that needs to be considered in conjunction with the future trends in the development of the games industry. This paper suggests that we must watch game developments carefully and assess the potential impact of related legislative moves and legal decisions. The paper concludes that the disruptive power of new technologies will be better regulated by a network of regulatory tools rather than law alone.
SILLVR: Streaming Interlibrary Loan Video Resources <i>and</i> Accessibility in Multimedia Content: Where Did We Come From, What are We, Where are We Going?

Streaming Interlibrary Loan Video Resources (SILLVR) is an innovative initiative allowing libraries to interlibrary loan (ILL) streaming videos for the first time. This presentation provides background information on the pilot program that started it all. The second section discusses issues in accessibility and usability in technology.
An efficient XOR-based visual cryptography scheme with lossless reconfigurable algorithms

This article proposes an efficient XOR-based visual cryptography scheme with lossless reconfigurable algorithms, which includes an encryption and a decryption schemes for gray-scale and color secret images. The encryption scheme aims to encrypt secret images by mapping them to several shared images that do not suffer any pixel expansion problem and do not reveal any information of the secret images by considering a random column selection algorithm based on the 0-mapping and 1-mapping matrices, where the two matrices are dynamically generated in the encryption scheme. Moreover, the proposed decryption scheme can reconstruct the secret images with only a series of XOR operations. The reconstructed images do not suffer any contrast distortion and pixel expansion problems comparing with their original secret images. Finally, the proposed two schemes are illustrated with the practical examples.
Complete Coverage Path Planning of Underwater Wall-climbing Cleaning Robot

Abstract Aiming at the special working environment of the underwater wall-climbing cleaning robot and the low efficiency and poor universality of the complete coverage path planning algorithm in this environment, a complete coverage path planning algorithm based on enclosing window is proposed. Firstly, the robot’s floating system is briefly introduced. Then, the grid map method is used to model the environment, and the traversal priority order of the single-layer enclosing window is determined according to different grid maps. Finally, when the robot falls into the dead corner, the diffusible water-ripple enclosing window search algorithm is used to find the escape grid, then the robot escapes from dead corner and continues to traverse until all traversable grids are traversed. The simulation results show that the method in this paper can not only achieve 100% full coverage and 0% repetition rate, but also reduce path length. It has higher planning efficiency in underwater environments, and has better applications.
Intelligent Compression Scheme for Securing Storage Preservation in Virtualized Hybrid Cloud

Cloud computing is one of the most important tasks that will lead to a more productive stage. This means that most of the important cloud computing issues have been resolved to a lesser or greater extent, and sky has become a big demand across the entire commercial operation. However, the data security permissions you can still avoid and that many users on how to transfer data to an external storage device. Client-side data compression, in particular, allows multiple transfers of the same content, but exhausting network bandwidth and storage capacity per download. Compression is actively used by a number of cloud backup services, as well as various services in the cloud. Unfortunately, encrypted data is fake and may therefore not be redundant. As a result, legislation will completely give away either security or storage efficiency.
Design and Development of Contrast-Limited Adaptive Histogram Equalization Technique for Enhancing MRI Images by Improving PSNR, UIQI Parameters in Comparison with Median Filtering

Image enhancement is used to improve the quality of images and it enhances, sharpens image features, such as edges, boundaries, and contrast, to make a graphic display useful for display and analysis. In order to enhance the quality of MRI images, histogram-based image enhancement technique is developed in this work. Materials and Methods: In this research, a Contrast Limited Adaptive Histogram Equalization (CLAHE) based image enhancement technique is proposed and developed for MRI images and the proposed work is compared with another image enhancement technique called Median Filtering (MF) method. Input medical images (N=30) of both group were downloaded from standard medical database. The enrollment ratio is obtained as 1 with 95% confidence interval and a threshold value 0.05. Results: The performance of image enhancement is measured using two parameters namely, Peak Signal Noise Ratio (PSNR) and Universal Image Quality Index (UIQI). These parameters are calculated and evaluated to assess the proposed methods efficacy. High values of PSNR and UIQI indicate better enhancement. CLAHE provides mean PSNR values of 18.6968(dB), mean UIQI of 80.9220%, and median filtering method provides mean PSNR values of 14.2261(dB) and mean UIQI of 76.3463%. Conclusion: Based on the experiment's results, the CLAHE image enhancement technique significantly performed better than the MF technique.
VLSI Architecture of Decision Based Adaptive Denoising Filter for Removing Salt &amp; Pepper Noise

A new Decision Based Adaptive Denoising Filter (DBADF) algorithm &amp; hardware architecture are proposed for restoring the digital image that is highly corrupted with impulse noise. The proposed DBADF detects only the corrupted pixels and that pixel is restored by the noise-free median value or previous value based upon the noise density in the image. The proposed DBADF uses a window initially and adaptively goes up to window based on the noise corruption more than 50% by impulse noise in the current processing window. The proposed architecture was found to exhibit better visual qualitative and quantitative evaluation based on PSNR, IEF, EKI, SSIM, FOM, and error rate. The DBAMF architecture also preserves the original information of digital image with a high density of salt &amp; pepper noise, when compared to many standard conventional algorithms. The proposed architecture has been simulated using the VIRTEX7 FPGA device and the reported maximum post place and route frequency are 149.995MHz and the dynamic power consumption is 179mW.
Hybrid Action-Allied Recommender Mechanism: An Unhackneyed Attribute for E-Commerce

The users of electronic commerce (e-commerce), otherwise known as internet commerce portals, most commonly depend upon the customer reviews when they make any purchase decisions. But it is observed that one product may have more than hundreds of miscellaneous reviews, which leads to an overload of information on the customer. This information overload tends one to work on the objective of developing a recommender mechanism to recommend a review subset having high content score as well as various aspects of products with associated sentiments. Therefore, these recommendation systems (RSs) have been established parallel to web networks. This contribution delivers an orderly explanation for hybrid RS along with a novel method with slight modification of the contemporary techniques, such as collaborative filtering. It also describes their evolution, progression, and fruitfulness and also identifies various future implementation areas selected for future, present, and past importance.
Quality, Presence, Empathy, Attitude, and Attention in 360-degree Videos for Immersive Communications

Most literature has already shown that virtual reality, concretely, 360-degrees video can have influence on affective skills in multiple applications from education to medicine. This thesis aims to go one step further, real-time 360-degree video communications. Researchers commonly based their experiments on controlled environments and participants with specific characteristics which reduce the reproducibility and ecological validity of the methodologies. We propose to design a methodology based on questionnaires and the use of biosensors to jointly assess technical and socioemotional features in bidirectional immersive communications. For that, we first present some research questions and then choose the tools, stimuli, and use case to answer them. The use case selected as starting point to validate the methodology is tele-education. This thesis is an invitation to leave the comfort zone and question the usage of methodologies that have been highly proven with previous technologies, but which may as well be insufficient to address the challenges of new communications.