Reviewerly/exHarmony huggingface dataset:
Webcam Based Gesture Detection and Recognition to Navigate in the Application

— Most e-commerce websites do not provide their users an engaging purchasing experience. The buyer can only watch images or videos of the product that he or she wishes to buy; there is no method for the buyer to virtually interact with the product. Secondly, e-commerce websites can be difficult to use for the disabled and elderly, who are less familiar with latest technology. Thus, the purpose of this research was to provide fast and time efficient code-based solution that will allow people who are unfamiliar with new technologies to use websites and apps using dynamic hand gestures. It is a live project that will be utilized for shopping on the firms' e-commerce websites. We used Pytorch, a machine learning library, to create the gesture detection and recognition system which is capable of recognizing and detecting various human gesture, such as swiping up hand, swiping down hand, turning fist clockwise, etc. All of these motions are pre- linked to various sorts of tasks. The images of these gestures were utilized to train and develop a machine learning model, which, when applied, recognized and executed the pre-linked functions for the taught human gestures.
Dynamic and Unified Approach to Distinguish Malicious URL Using LSTM

Hackers can embed malwares in the pages to take client data and procure cash illicitly. Actually, it is noticed that near 33% of all sites are conceivably malicious in nature. In this manner, It bodes well to rapidly distinguish malicious URLs on the Internet. Unique in relation to the vast majority of past strategies, right now, propose a strategy for online malicious URL identification dependent on versatile learning. By gathering the network traffic from spine networks, we train neural network models to recognize malicious URLs. Yet, there is a difficult issue in powerfully changing conditions where the factual properties of target variable change after some time, which is known as idea float. To address this issue, we apply a nonparametric test to effectively distinguish idea floats in versatile learning. Malicious URLs are destructive to each part of PC clients. Identifying of the malicious URL is significant. As of now, location of malicious website pages strategies incorporates boycott and white-list procedure and AI order algorithms are utilized. In any case, the boycott and white-list innovation is pointless if a specific URL isn’t in list. In the proposed framework, a calculation dependent on the Convolutional Neural Network-LSTM model is developed to address this issue.
Comparative Audit of Batam City Information System and COVID-19 National Website

The use of Information Technology for the information center on the COVID-19 web in Batam city and the COVID-19 web in Indonesia, must be supported by IT Governance which describes the most important factors in the use of IT. In addition, the development of the internet also supports the use of computers. The data on the two websites may still not be used as the main reference data due to differences in data from the national web version and Batam City, also because the data obtained are not aligned and do not intersect, it can cause errors in reporting the data that has been collected in such a way. In this study, an Information System Audit will be carried out with the process of collecting and also evaluating evidence about the accuracy of the available information to determine the level of suitability of the information with the audit standards that have been set and express the results of the examination, based on the information system audit standards. The results of the assessment of aspects of the security system, design, navigation, mobile friendly, speed, content quality and keywords of the two websites show that it is very worthy to say that it is very good.
Stochastic Model of Block Segmentation Based on Improper Quadtree and Optimal Code under the Bayes Criterion

Most previous studies on lossless image compression have focused on improving preprocessing functions to reduce the redundancy of pixel values in real images. However, we assumed stochastic generative models directly on pixel values and focused on achieving the theoretical limit of the assumed models. In this study, we proposed a stochastic model based on improper quadtrees. We theoretically derive the optimal code for the proposed model under the Bayes criterion. In general, Bayes-optimal codes require an exponential order of calculation with respect to the data lengths. However, we propose an algorithm that takes a polynomial order of calculation without losing optimality by assuming a novel prior distribution.
Integrating Degradation Learning into Image Restoration

Existing image restoration methods usually assume specific degradation model, e.g., linear combination of clean image and degradation map in image denoising and deraining. Benefiting from the power of deep learning, a restoration mapping can be learned from degraded image to latent clean image. In this paper, we propose to integrate degradation learning into image restoration (IDLIR), where degradation model can be learned from training samples. In particular, IDLIR is an iterative restoration framework, where latent clean image and degradation map can be extracted from current residual degraded image, and are then fused by a degradation network to reconstruct degraded image. Then the residual degradation image can be updated by computing the difference between input and reconstructed degraded images. By taking denoising and deraining as examples, IDLIR is compared with state-of-the-art methods on several benchmark datasets. IDLIR performs better than state-of-the-art methods quantitatively and qualitatively.
On the Structure Model of Knowledge Manufacturing and Service System of Smart Library Based on Super-Network

The knowledge manufacturing and service system of the smart library is the model of knowledge service and management of the library in the future. Based on the super-network theory, the super-network characteristics of a knowledge manufacturing and service system of smart library is analyzed. The super-network modeling method of “two-layer four-network” knowledge manufacturing and service system of smart library is built. The paper scientifically expresses the operation mode of the knowledge manufacturing and service system of the smart library, and provides a theoretical basis for the library to implement the digital modeling of the smart library in an all-round way.
Engaging Virtual Museum of Bojonegoro for History Learning

Bojonegoro's limitations in providing a decent museum are the basis for the main urgency of this proposal to develop an android-based virtual museum application. In addition to helping history teachers in teaching the history of Bojonegoro in an interesting and contextual way, the virtual museum application is expected to be a pioneer in providing historical and cultural information for the people of Bojonegoro and its surroundings. The stages of research and development for the BISMA application. The first stage, Analysis, is a needs analysis to determine the right problems and solutions and determine student competencies. The second stage, Design, is to determine the learning approach with a virtual museum, develop a model framework and virtual museum application, identify learning needs and compile a virtual museum assessment sheet. The third stage, Development, develops a virtual museum in accordance with the learning approach used. The fourth stage is Implementation, testing virtual museums, installing virtual museums, and distributing a feasibility survey. The last stage, Evaluation, analyzes application performance and revisions to deficiencies that occur during the implementation of the virtual museum application. Especially for online learning, this application offers free and safe museum roaming.
The Secure Computing Architecture for Dual Hard Disk and Dual System Switching

This paper proposes a secure computing architecture based on the dual hard disk and dual system switching (D <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> S), and provide the mechanism of sensitive data copy and transmission processing for the two operating environments of the computer. It can not only provide a secure computing environment for all processing links involving sensitive files, but also resist various possible malicious attacks. The experimental simulation results show that the D3S architecture has obvious performance advantages in both the data delivery ratio and the memory computing overhead. When the size of the copied sensitive file is 50MB, the copy time overhead of D <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> S is 1.12s. The secure transmission rate of sensitive data of D <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> S architecture is significantly better than that of other existing architectures, which has been maintained at about 8.5 Mbps.
Bitcoin Price Forecast — A Prediction using ARIMA Model

The investors in India are pouring to cryptocurrencies in unprecedented numbers, and the trend may indeed be hazardous. Many experts say that more investors would rush to digital currency in the coming years. While this has been a cause to rejoice for the crypto-exchanges in India, which has also attracted financing from international investors, the surge is taking place in the absence of rigorous regulations from the part of central bank or the state. Due to the obvious fact of Indian government’s previous connection with cryptocurrencies, this would be particularly troublesome. Apart from the government's viewpoint, the lack of laws exposes Indian investors to further dangers. The most significant regulatory risk is that bad players may enter the market. For the time being, Bitcoin exchanges and investors appear to have taken the RBI’s new notice as a green light. This might be an oversimplification, and the magnitude of the risk, given the size of the investments, could be disastrous. Therefore, the study evaluates if the investment in bitcoins is risky or not with the ARIMA analysis to examine the price of Bitcoin in Indian Rupee up to a projected period of 20-07-2021.
Research Progress on the Human Behavior Recognition Based on Machine Learning Methods

Background: Machine vision has been used in the industrial automation system for a long time. It also plays a significant role in the field of human behavior recognition. Behavior recognition based on machine vision, such as object tracking, motion detection and crime recognition, greatly broadens the application field of artificial intelligence and has a good application prospect. Objective: We summarize the latest applications of various machine learning algorithms in human behavior recognition, and analyze the accuracy of various algorithms combined with data sets, so as to provide reference for researchers in related fields. Methods: By sorting out the typical research results, briefly expound on the application of machine learning in the field of behavior recognition in recent years. This review focuses on the Two Stream Network structure, TSN structure, LSTM network and C3D network. Results: This paper analyzes the principles, advantages and disadvantages of various human behavior recognition methods, and briefly discusses the future development direction. Conclusion: The wide application prospect of behavior recognition and detection makes it a hot research direction in the field of computer vision, and greatly improves the accuracy of complex human motion recognition combined with deep learning. However, it still faces many difficulties, such as insufficient discrimination of violence attributes, difficult collection, verification of special action data and insufficient hardware computing resources, etc.
METHODOLOGY FOR THE INDOOR MICROCLIMATE CONTROL SYSTEM DESIGN

The development of digital technology in recent decades has been rapid. The number of areas of application of DA continues to grow steadily. For example, in the last few years they have been actively implemented in automated systems of various technological processes. During the writing of the article, it was found that the current requirements for software and the rapid pace of technical systems cause growing interest in the theory of digital automata and discrete automata in general. This makes it possible to solve increasingly complex problems and, at the same time, achieve greater efficiency.The aim of this article is to study modern systems of automated control and management of indoor climate with optimization of technological parameters: temperature, humidity, etc. with the development of simple methods for designing indoor climate control systems with advanced mathematical model based on the rules of applied digital theory. The research was performed using a mathematical model and rules of applied theory of digital automata, which allows to create universal algorithms and design a simple and easy for implementation functional and schematic diagram of digital automata.Using the applied theory of digital automata, theequations of Boolean functions are obtained. An engineering approach to maintaining a given microclimate by regulating the temperature and humidity in the room. Developed digital circuit breakerto maintain a given microclimate in the room has eight inputsignals, eight output signals and six transient states. Logical equations allowed to develop a simple functional circuit of DA to control the microclimate in the room, which is quite easy to implement on chips of medium integration, such as KR1561, or other devices, such as microcontrollers
Pleasure and pain with amplified sound

Conceptualising Sound as a Voluminous Entity. Discourses, Media, Practices In a couple of—rather heterogeneous—discourses in the first decades of the twentieth century (music sociology, perception psychology and electroacoustics), sound was defined as an entity with “volume” (e.g., Bekker 1923 [1917]; Rich, 1916; Stevens, 1934; Tyers, 1923). This was a rather new conceptualisation of sound, a “sound concept” (Wicke 2016), which correlated not only with specific discourses about music and sound, listening and space. Moreover, it colluded with new listening practices that combined listening and vibrating as well as with new media technologies such as loudspeakers, microphones, and electronic amplifiers. As an explicitly voluminous entity sound was characterised by a certain extension in space. Thus, at an epistemological level we can argue that sound became conceptualised as an entity that was not only defined and understood by parameters such as “frequency” and “pitch”, “amplitude” or “sound pressure”. In addition, sound became an entity that was defined increasingly through volume and, thus, transformed into a voluminous entity. However, as we will see, volume has proved to be a rather fuzzy concept.
Binaural gaming arrangements

This chapter focusses on the auditory configurations that are enacted by playing the digital Audio Game A Blind Legend. Most digital games are conditioned by visual elements (in-game-graphics, instructions, aesthetic components of the interface, narrative elements). As an Audio Game, the game needs to be heard instead of seen. Both the game’s narrative and aesthetic as well as the core game mechanics are mediated by binaural auditory cues that enable the players to locate and interact with virtual characters and objects in a ludic audio space., The chapter argues that A Blind Legend is a unique techno-sensory gaming arrangement that enables immersive effects and auditory play in relation to the reciprocal interplay of human, technological, discursive and sensory configurations and related bodily techniques of hearing and tactile navigation.
Law Schools and the Fourth Industrial Revolution

The digital transformation of a law degree is not simply using technology to teach or assess. Rather, it embraces and embodies key seismic drivers for change: vision, people, and culture. Digital transformation is a journey, not a destination, and so involves the continual understanding of why we are seeking change, who this change will benefit, and how to unlock the value proposition of a law degree as an anchor discipline in stewarding the challenges of the 4IR. Synthesising the chapters presented in this collection, this chapter proposes three strategies to better equip students for the future and steer legal education forward emerge: (i) embedding digital literacies, (ii) developing interdisciplinarity, and (iii) nurturing creativity, collaboration, and communication opportunities. The chapter identifies how law school leaders enable change by exploring a variety of contexts, inputs, and drivers, shifting practices, and exploring enablers for change and offers a new research agenda looking into the future of legal education and becomes an ongoing conversation across the globe, in which we begin to identify a future-ready law graduate and what we can do as educators and education leaders to support excellence in learning. We also hope that this is a start to the conversation and research around what digital literacies and creativity mean within the context of legal education, and also to making a case to establish the role of legal education in influencing and shaping the progress of the 4IR and to position legal education as an anchor discipline in Higher Education.
Legal Education As An Anchor Towards Shaping and Regulating the Digital World: Models of Law-Tech Curriculum

Every sector, profession, and industry is affected, the future of education is disrupted, disciplines, identities, professional skills, and knowledge are blurred and re-formed. With digital technologies transforming the role of legal professionals and the use of law degrees for a variety of different careers, there is a need to reimagine how substantive areas of legal issues are taught in law degrees, alongside the wide variety of skills needed in the digitally transforming professional world where it is likely that we will have multiple careers during our lifetime. This chapter offers law schools two approaches to create a distinctive vision for legal education bringing insights together in new and relevant ways to creatively identify problems and solve problems using the law as an anchor, augmented with sciences, arts and design, technology, the social sciences, and the humanities. This chapter will make a case for interdisciplinary learning within law degrees and the flexibility that a law degree offers to benefit from this approach. In a quest to digitally transform legal education, the chapter brings law and technology into an academic context, using two proposed models for law degrees.
Peer Review Statement

All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing Publishing. • Type of peer review : Double Anonymous • Conference submission management system : Submission and registration to our conference were done through a third-party platform and a website, managed by a technical committee. Submission and review processes were all done at the following link https://easychair.org/conferences/?conf=rcgeoe2021, unless a difficulty arose in any step of the processes, the communication was done through conference website at https://rcgeoe2021.ugm.ac.id/ and/or by email at rcgeoe2021@ugm.ac.id . • Number of submissions received : 51 • Number of submissions sent for review : 45 • Number of submissions accepted : 37 • Acceptance Rate (Submissions Accepted / Submissions Received × 100) : 72.5 • Average number of reviews per paper : 1.3 • Total number of reviewers involved : 9 • Contact person for queries : Name : Assoc. Prof. Dr. Wahyu Wilopo Email : wilopo_w@ugm.ac.id Affiliation : Universitas Gadjah Mada
Band processing of Landsat 8-OLI multi-spectral images as a tool for delineating alteration zones associated with porphyry prospects: A case from Suyoc, Benguet, Philippines

Abstract The Mankayan Mineral District in Luzon is marked by several porphyry and epithermal mineralizations. The possibility of blind porphyry mineralization in Mangga, Basig, and Palidan was forwarded based on the results of recent ground magnetic surveys in Suyoc, Mankayan, Benguet. These areas exhibited the diagnostic magnetic anomaly patterns expected of porphyry copper deposits. This signature, a magnetic core surrounded by a non-magnetic rim, is due to the alteration haloes common to porphyry systems. The magnetic core corresponds to the potassic zone dominated by iron-oxide-bearing minerals (e.g., magnetite). Meanwhile, the abundance of non-magnetic clay minerals at the periphery of the mineralized region corresponds to propylitic-argillic alteration zones. Delineation of alteration zones using remote sensing was done to further support the suggested mineralization prospects. Mixture tuned matched filtering (MTMF) was carried out to reduce the effects of vegetation cover from Landsat 8 data. Principal Components Analysis (PCA) was applied to generate bands exploiting the greatest difference between the clay and magnetite alterations with background earth materials. A classified composite map depicts the altered regions. The three sites previously identified from magnetic anomalies also display the expected alterations. Another prospect in the Lapangan area is being proposed based on magnetic anomalies and mapped alterations.
Virtual Try On

With its immense potential to turn imaginations into reality, Augmented Reality (AR) has ushered an unprecedented revolution in modern-day business. AR is a set of elements that helps to create a superimposed view of real-world entities with virtual objects by using sensory inputs such as images, sound, graphics, etc. It has transformed the traditional marketing practices into a technology-driven strategy essential for Industry 4.0. A unique AR-centred technology named Virtual Try On is widely used for marketing purposes nowadays, especially in the fashion and lifestyle business. Hence, examining the emerging digitally centred Virtual Try On approaches and their pertinence in modern-day marketing strategies is relevant. The present study examines the significance of Virtual Try On technology in jewellery marketing. The study emphasizes Virtual Try On enfolded marketing strategies of Indian branded jewellery retailers. The study found that this technology enhances customer experience and helps to make the right purchase decision. It enables marketers to deliver personalized marketing strategies. However, the quality of the applications and privacy factors are some crucial concerns related to Virtual Try On applications.
Semantic information query method of data ontology based on natural semantic understanding

Aiming at improving the poor effect of data ontology semantic information query, based on the existing semantic retrieval and combined with natural semantic processing technology, a data ontology semantic information query method based on natural semantic understanding is proposed. The natural semantic pattern is used to define the corresponding data ontology extraction rules, and the synonyms of domain ontology are obtained from relevant data. Further, Jena reasoning is used, and the implicit knowledge is obtained by combining domain knowledge and custom reasoning rules. Based on the natural semantics, a word similarity algorithm is proposed to analyze the syntax and semantics of the natural semantic query input by users, and construct SPARQL query sentences to realize the natural semantic query. The accuracy deviation formula is proposed to measure the rationality of the sorting algorithm, which simplifies the semantic information query steps of the data ontology. Experiments show that this method can obtain semantic information and effectively improve the accuracy of semantic information of data ontology.