Reviewerly/exHarmony huggingface dataset:
Cryptography

This chapter provides a self-contained overview of code-based cryptography, which is a branch of public-key cryptography utilizing error-correcting codes to secure data. Code-based cryptography is considered a primary quantum-resistant alternative to currently employed public-key cryptosystems, such as RSA and elliptic curve cryptography, both of which succumb to attacks via quantum algorithms. This chapter outlines the McEliece and Niederreiter cryptosystems along with the necessary background in the theory of error-correcting codes while assuming only linear algebra as a prerequisite. Code-based cryptosystems employing Goppa codes, Reed-Solomon codes, and low- and moderate-density parity-check codes (LDPC and MDPC codes) are considered, and background on the associated code families is provided. This chapter discusses attempts made to reduce the associated key sizes along with some of the vulnerabilities that may be introduced into the system during the process. Some attacks are outlined in this chapter, along with potential improvements to demonstrate the challenges as well as the evolving nature of the field.
Rethinking Education in the Raw Materials Sector through Tailor-Made Teaching Methodologies

This article presents a methodology applied to the design of a tailor-made program for teaching staff that addresses the needs of high-level educational institutions in the Eastern and South-Eastern European (ESEE) region. The tailor-made program was implemented as a one-week online course for 22 &ldquo;Trainees&rdquo; from six ESEE universities earlier in 2021. &ldquo;Trainees&rdquo; from six participating universities are currently developing acceleration programs, planned to occur continuously until 2024, increasing the percentage of the trained academic staff to &gt;50% at each of the six universities. During that period, 240 students will benefit from 140 improved RawMaterials-related courses, improving their learning and understanding.
Access to Internet and Internet Shutdown: A Rights Perspective

Access to the internet is fast becoming a basic right given the plethora of information available on the net these days. In the current scenario, the issue of internet shutdown has become an important concern in India. Internet shutdown affects people socially, psychologically and economically. On one hand, many democratic countries of the world are discussing about digital freedom and human rights, while on the other hand, some countries including India are continuously practicing Internet shutdowns in different parts of their countries. India has become the top country of the world in terms of the numbers of Internet shutdowns. The Internet has become such a prominent source of information for all of us that when Internet connectivity is suspended, many people are affected as they depend on the Internet services for various purposes. Internet shutdown is not only harmful to democracy and governance but also to the economy of the country. Internet shutdowns are direct violations of digital freedom and human rights. The main objective of this paper is to argue that access to internet is a basic right and highlight the problem of Internet shutdown in India and its adverse impact on the lives of Indians. In addition, this paper attempts to highlight a brief history of Internet shutdowns in India. The paper shows how frequent clampdowns on internet affects the economy, as has been the case of Union Territory of Jammu &amp; Kashmir thereby highlighting the case for internet freedom for the survival of the economy especially in Digital India.
A Rapid and Accurate Method for Point Cloud Reconstruction of NURBS Surface

The computational performance of the existing reverse engineering point cloud data processing methods in the aspects of mass point cloud multi-view fusion and NURBS free surface reconstruction needs to be improved. In order to overcome the shortcomings of point cloud multi-view fusion in computing efficiency, the principal curve of point cloud was extracted by data dimensionality reduction. By using geometric information such as curvature, torsion and spatial position of the principle curve, the transformation matrix between point clouds from different views is obtained. The method of micro-tangent plane in point neighborhood is used to calculate the point cloud vector. The NURBS surface is reconstructed by point cloud, and the reconstructed 3D surface model has high approximation accuracy and correct topology. The proposed algorithm has high efficiency and stability.
Identifying Irregular Objects in Scenes: Semantic Segmentation Network Based on Multi-path Irregular Convolution

Image semantic segmentation is one of the basic tasks in computer vision. There are many irregular objects in real scenes, which makes the standard convolution with square convolution kernel unsuitable. In order to solve this problem, a semantic segmentation network based on Multi-path Irregular Convolution Networks (MICNet) is proposed in this paper, which includes a plug-in Atrous Multi-path Irregular Spatial Pyramid Pooling (AMISPP) module with dilated convolution and Feature Selection Module (FSM) to help screen feature images. The combination of spatial separable convolution is mainly used to enable AMISPP to perform convolution on regions with different aspect ratios. AMISPP can also be inserted into any network to achieve varying degrees of performance improvement without too many extra parameters. Experiments show that, compared with the state-of-the-art networks such as DeeplabV3+, MICNet can significantly improve the segmentation effect of irregular objects.
Exceptions

The last chapter discussed assertions, which evaluate a specified condition in a test case. This chapter focuses on exceptions that occur in Python with Selenium. First, you need to know what Selenium exceptions are and their various types. Several aspects raise exceptions in a Selenium test case. Each exception is caused by a specific reason, which is explained in this chapter. Selenium provides many built-in exceptions that later lead to the termination of a test case. To avoid these unusual terminations, an exception should be handled so that the test case follows the normal (default) execution flow. In this chapter, we study different types of exceptions, the causes that raise these exceptions, and how to handle exceptions in a Selenium test case. Let’s start by defining exceptions and the need to have exceptions in a test case.
Distributed Deep Learning System for Efficient Face Recognition in Surveillance System

In view of the bandwidth consumption caused by data stream transmission in video analysis system and the demand for accurate online real-time analysis of massive data, this paper proposes a deep learning model framework for face recognition employed in the embedded system. Through data collaboration, the cloud could build a more complex data set with a small amount of uploaded data gathered by the end devices. And the framework collaboration makes sure that the fully-trained cloud model directly download or distillate knowledge to the end devices. Experiments show that the deep model not only realizes the real-time response and the accurate response of the cloud system, but also greatly reduces the bandwidth consumption caused by sample data transmission in the model training process.
[RETRACTED] PT Trim Fat Burn Shocking Report Reveals Must Read Before Buying v1

[RETRACTED] PT Trim Fat Burn is a weight loss supplement sold exclusively online through PTTrimFatBurn. By taking two capsules of PT Trim Fat Burn daily, you can purportedly use a weight loss shortcut involving purple tea to rapidly lose weight. Does PT Trim Fat Burn really work? or is PT Trim Fat Burn yet another weight loss supplement scam? Keep reading to discover everything you need to know about PT Trim Fat Burn and how much weight you can lose.
Real-time defogging hardware accelerator based on improved dark channel prior and adaptive guided filtering

Image defogging has important application value in preprocessing technology and computer vision system. Dark channel prior (DCP) is simple and effective in many defogging algorithms, but the time-consuming sorting comparison and a large number of calculation refinement processes limit its real-time processing capabilities. For real-time applications, we proposed a hardware architecture for single-image defogging, which gives full play to hardware parallel processing capability and algorithmic parallelism. First, an average statistical approach is used to estimate atmospheric light. Then, the refined dark channel map is used for transmittance estimation to reduce the blocking effect. The transmittance is linearly corrected to prevent color distortion in outdoor scenes containing sky areas. Finally, a guided filter algorithm is introduced in the transmittance refinement, and its fast mean filter uses an adaptive window to process the image boundary. The hardware implementation of the proposed method uses field programmable gate array device is Zynq-7000. Experimental results show that our design obtains good performance with low-complex hardware implementation and shorter execution time. It only takes 7.43 ms to process a 1280 × 720 image, and the frame rate can reach 135 fps at a clock rate of 125 MHz, which can be used as a real-time hardware accelerator for image processing.
Algebraic Geometry

Solving algebraic equations has been the central focus of mathematics throughout history. Algebraic curves, as a special kind of equations, have played an important role in modern mathematics. The development of new computational tools and a lot more computer power have made possible applications of algebraic curves in areas such as computer vision, coding theory, computer security and cryptography, physics, and other areas. Hence, algebraic curves play a central role in theoretical mathematics and practical applications. The main focus of this chapter is the study of elliptic and hyperelliptic curves of genus two, and their applications in cryptography. We start with a brief introduction to the mathematical background of algebraic curves, focusing on elliptic and hyperelliptic curves, and then focus on their applications on cryptography, i.e., elliptic and hyperelliptic curve cryptography (ECC and HCC) as well as isogeny-based cryptography.
Hiding from the sound hunter

Device uses simple and easily fabricated design to acoustically cloak objects.
DURISE- Deblurring of Underwater Image Search Engine by CBIR

Content or substance based image recovery (CBIR) has ended up a primary investigate range in interactive media applications. In the literature, there’s part of papers centering on the content-based image recovery in arrange to extricate the semantic information inside the inquiry concept. The CBIR strategies utilized in the image looking ranges vary by the user interaction and preparing fashion in inquiry image input. This paper applies the visual location to submerged pictures include extraction to work out the vigor issue, which is conducive to a more steady and closer to human cognitive component include extraction calculation for a better view. In expansion, within the preparation of underwater images pretreatment, we apply dim channel earlier “Deblurring” to the submerged images preprocessing handle to expel cloudiness and improve the differentiate of submerged pictures. The outcomes about moreover appear that the strength and the property of real-time include extraction based on visual saliency discovery and dark picture defogging calculation has been enormously progressed with deblurring the blurred image.
Gun Control Research

In �Gun Control Research�, Aaron shows why dealing with specific questions is hampered, though, by looking for specific answers
(t, k, n)-Deterministic Extended Visual Secret Sharing Scheme Using Combined Boolean Operations

In Visual Cryptographic Scheme (VCS), the shares of the secret image are viewed as random whereas in Extended Visual Cryptographic Scheme (EVCS), the shares are viewed as meaningful images. When the number of participants increases the graying effect problem in deterministic VCS is caused due to high pixel expansion. This graying effect was resolved using ideal contrast constructions in VCS, but not in EVCS. In ideal contrast VCS; combinations of Boolean operations are used during reconstruction. Here in this paper, we designed a deterministic construction for \((t,k,n)\) access structure using the existing VCS constructions with contrast one as building block. In existing EVCS constructions the relative contrast will vary depending on the access structure, but in the proposed EVCS construction it is 0.25, which is better than existing schemes.
Research on the construction of an international Chinese teaching platform in a smart environment

The construction of an international Chinese teaching platform in a smart environment is the key to realize smart education and promote the modern development of international Chinese education. The traditional teaching resource platform has many problems, and it is difficult to meet the intellectual needs of learners. Based on the needs of education and teaching reform under the background of new liberal arts, the article deeply analyzes the implementation path of smart environment and international Chinese teaching resources and platform construction, constructs a system framework for smart resource platform construction, and finally discusses the development trend of international Chinese teaching in a smart environment. Discussions were conducted in order to provide a reference for the intelligent upgrading and transformation of international Chinese education.
Cash Collection Model of Electric Power Business Office Based on Computer Algorithm

Abstract With the continuous development of intelligent algorithms, mobile robot (hereinafter referred to as MR) technology is gradually mature, which has been widely used in a variety of industries, such as industry, agriculture, medical treatment, service and so on. With the improvement of intelligent level, people have higher and higher requirements for MRs, which requires MRs to constantly adapt to different environments, especially dynamic environments. In the dynamic environment, obstacle avoidance technology has become the focus of intelligent robot research, which needs to continuously develop a variety of algorithms. By combining a variety of algorithms, we can realize obstacle avoidance and PP (hereinafter referred to as PP) of MR, which can realize obstacle avoidance more efficiently, in real time and intelligently. Multi algorithm fusion of MR has become the main trend of obstacle avoidance in the future, which will realize PP and optimization. Firstly, this paper analyzes the differences between traditional algorithms and intelligent algorithms. Then, the kinematics model and PP algorithm of MR are analyzed. Finally, the simulation is carried out.
An Immune Inspired Algorithm for Fault Tolerant Enhanced Multimodal Machine Learning

Much like how sentient beings use multiple senses, Multimodal Machine Learning (MML) uses multiple input signals to form an estimation about the environment. An advantage MML has over standard Unimodal Learning is that if one input becomes corrupt or unavailable, a multimodal recognition model can rely on the other inputs by zeroing out the corrupt or missing one. As such, MML can become more robust and fault-tolerant. Unfortunately, it is not always known when an input has become corrupt or not. Corrupt inputs are anomalous in comparison to normal and expected data. We use an immune inspired algorithm, the Negative Selection Algorithm (NSA) as a resilient anomaly detection algorithm. Using the multimodal Smart Gym “MM-FIT” dataset, we evaluate how corrupt inputs affect the accuracy of MML classification. We implement the NSA specifically for a multimodal pipeline of activity recognition with anomaly detection. The results indicate that our recognition pipeline is effective in introducing fault-tolerance to MML.
Interview with Ari Melenciano

In this interview, editors xtine burrough and Judy Walgren asked Ari Melenciano to talk about her creative practice as it engages technology and social practices. Melenciano discusses atypical collaborations and the joys of working with emerging technologies as a tool that can hold space for reflection and for pedagogy.
Case study of &lt;Understanding Northeast Asian Cooperation&gt; course operation using project-based learning

Project class can be defined as learning through the performance of a project that is centered on learners and proceeds with cooperative work to solve actual problems or tasks. This study analyzed the operational cases by applying ''Project-based Learning (PBL)'' to ''Understanding Northeast Asia Cooperation''. The subjects of ''Understanding Northeast Asian Cooperation'' are 47 students. They are distributed from the first grade to the fourth grade. The team members were asked to join the band, and each team was discussed and the project was carried out through the band. Each team selected its own representatives. When the professors presented various projects on Northeast Asian cooperation, they selected the project through their own meetings, designed the project, and prepared the performance plan. Then, each team surveyed the Internet and various materials to carry out the project. And each team made it announcement in various ways such as PPT, video, picture, photo, etc, and conducted self evaluation, peer evaluation, and teacher evaluation. Finally, the survey was conducted to investigate the students'' satisfaction. The survey shows that project instruction has more educational effects than traditional teaching methods.
Peer review declaration

All conference organisers/editors are required to declare details about their peer review. Therefore, please provide the following information: • Type of peer review: Single-blind/ Double-blind /Triple-blind/Open/Other (please describe) MMS 2021 review form If you cannot review this manuscript within 2 weeks, please return it immediately without comments. If you answer on any question "No, see comments" fill your comment at the end of review form. Thank you for your assistance! 1. Is the topic of the manuscript relevant, timely and of interest to the audience of this conference?* ○ Yes ○ No, see comments 2. Does the title of the article accurately reflect its content?* ○ Yes ○ No, see comments 3. Is the research methodology and treatment of the study appropriate and applied properly?* ○ Yes ○ No, see comments 4. Is the length of the paper appropriate to the content?* ○ Yes ○ No, see comments 5. Do the used notation and nomenclature meet the standards determined in the area of paper interest?* ○ Yes ○ No, see comments 6. Is this paper clearly and concisely written and well organized?* ○ Yes ○ No, see comments 7. Does the manuscript contain sufficient and appropriate references?* ○ Yes ○ No, see comments 8. Are tables and figures appropriate and adequate?* ○ Yes ○ No, see comments 9. Does the abstract of article satisfactorily show the aims, methods and result of the article?* ○ Yes ○ No, see comments 10. Does the conclusion clearly summarize the main results and contributions of the manuscript?* ○ Yes ○ No, see comments 11. Is the language and presentation clear to readers familiar with the field?* ○ Yes ○ No, see comments 12. Comments: • Conference submission management system: https://www.mmsconf.eu/index.php/mms/mms2021 Open Conference System https://pkp.sfu.ca/ocs/ • Number of submissions received: 143 • Number of submissions sent for review: 130 • Number of submissions accepted: 105 • Acceptance Rate (Number of Submissions Accepted/Number of Submissions Received X 100): (105/143)x100=73% • Average number of reviews per paper: 2 reviews per paper • Total number of reviewers involved: 70 • Any additional info on review process:- • Contact person for queries: Assoc. Prof. Eng. MSc. Lucia Knapčíková, Ph.D. Email: lucia.knapcikova@tuke.sk Please submit this form along with the rest of your files on the submission date written in your publishing agreement. The information you provide will be published as part of your proceedings.
Geochemical Analysis for Evaluating the Climatic Controls on the Depositional Environment of the Siliciclastic Miocene–Pliocene Sequence at Al-Rehaili Area, Northern Jeddah, Saudi Arabia

Geochemical data and their various approaches are useful to evaluate the climatic controls on the depositional environments. The sandstone layers of the siliciclastics are intercalated within the Miocene–Pliocene siliciclastic sequence and are overlain by Harrat Rahat Basalt et al. Rehaili area, north of Jeddah. These sandstone samples were geochemically and petrographically examined to determine (1) the chemical and mineralogical changes, (2) paleo-weathering, and (3) climate and the depositional environments using major oxides and trace elements chemical analysis. The results of this analysis were plotted on binary and ternary diagrams to achieve the goal of this study. This study reveals that the examined sandstones were deposited on areas close to the coastal plain of the Red Sea and suffered from weak to intermediate chemical weathering and intense physical induration under semi-arid to semi-humid climatic conditions in a non-marine (fluvial/alluvial-lacustrine) environment.
‘Omicron’ Sets Alarm Bells Ringing

The first, the second, the third, the fourth and now the fifth wave of COVID-19 strikes especially the European countries. Fearing the fifth wave due to sharp and sudden rise in COVID cases, governments are forced to re-impose restrictions to control the pandemic. Among the countries badly hit in the latest surge are France, Germany, Denmark, Norway, South Africa, the Netherlands, Austria and Russia. Since the beginning, SARS-CoV-2 infection has been peaking and plummeting in a roller coaster fashion. The virus has in fact turned this epidemiological pattern to its advantage, evolving itself into a more resilient and acclimatized version.
Mental Architecture— Computational Models of Mind

A cognitive architecture is a complete computational or mechanistic model of cognition that aims to integrate all components responsible for the variety of cognitive abilities and, hence, the intelligent behaviors of an agent, whether the agent is natural or artificial, human or animal. A cognitive architecture is a complete computational or mechanistic model of cognition that aims to integrate all components responsible for the variety of cognitive abilities in a psychologically plausible way: the intelligent behaviors of an agent, whether the agent is human or artificial. Dynamical systems approaches to cognition thus insist on the importance of coupling relevant variables, for instance, sensory and motor variables or organism and environmental variables. A cognitive architecture is an abstract model of a type of cognitive system. Cognitive architectures are developed and used in two different contexts: building artificially intelligent systems and modeling cognition.
Mobile-Assisted English Phonetics Teaching and Learning for Tertiary Learners: Practice and Approaches

With the rapid development of network and computer technology, more and more teaching aids have begun to enter people's lives. Especially in the era of “Internet + ”, the influence of various mobile phone auxiliary tools on people is becoming increasingly apparent. This article explores the effect and role of mobile-assisted language learning (MALL) on English phonetics teaching in the context of mobile-assisted language learning. Through the practice of empirical research on undergraduate English learners, it shows that the introduction of mobile-assisted language learning using WeChat as a platform has a significant promotion effect on students’ phoneme, strong reading, weak reading, continuous reading, and rhythm, and generally has a positive auxiliary effect on students’ pronunciation ability.