Reviewerly/exHarmony huggingface dataset:
Under the Dome: Preventing Hardware Timing Information Leakage

Numerous timing side-channels attacks have been proposed in the recent years, showing that all shared states inside the microarchitecture are potential threats. Previous works have dealt with this problem by considering those “shared states” separately and not by looking at the system as a whole. In this paper, instead of reconsidering the problematic shared resources one by one, we lay out generic guidelines to design complete cores immune to microarchitectural timing information leakage. Two implementations are described using the RISC-V ISA with a simple extension. The cores are evaluated with respect to performances, area and security, with a new open-source benchmark assessing timing leakages. We show that with this “generic” approach, designing secure cores even with complex features such as simultaneous multithreading is possible. We discuss about the trade-offs that need to be done in that respect regarding the microarchitecture design.
Infrastructure Facilities Information System (SISAPRAS) as a Monitoring of Educational Service Facilities

The availability of supporting devices in the academic services of a university is inseparable from the location and placement and also the need for these devices. The need for operational equipment is a necessity in the running of business process activities at a university, therefore the types of operational devices and facilities provided are a benchmark for a university in providing the best service to the academic community in it. In a tertiary institution, the need for operational equipment plays an important role in carrying out the teaching and learning process, on the other hand, behind-the-scenes operations also play an active role in ensuring the learning and teaching process runs. The need for operational equipment for infrastructure and facilities will increase where if a university has a building or branch with a different location, with this condition new findings will appear, the types of operational goods proposed are not balanced between branches or the number of goods that will be served by each branch is not monitored. Therefore, an infrastructure information system was built to facilitate and monitor each branch of the university in managing the equipment and operational facilities and infrastructure at the branch of the college building.
LITECOIN PRICE PREDICTION USING LSTM MODEL

Litecoin is that the world's most generally recognized cryptocurrency, which makes it appealing to investors and traders. The high volatility of the Litecoin charge per unit, on the opposite hand, makes it tough to predict. As a result, money markets place a premium on predicting its conduct. During this method, recent analysis has been conducted to make your mind up what internal and/or external Litecoin information is vital to its prediction. The adoption of cryptocurrencies as a variety of payment and therefore the inflated use of Deep learning techniques to predict statistic. The aim is to search out additional correct predictions for the Litecoin worth to speculate on the coin. During this method, feature choice ways were tested so as to realize predictions within the initial stage of the projected methodology. The action of Long Short Term Memory (LSTM) for worth direction predictions was examined within the series. LSTM used for data analysis to understand the best possible model for price prediction. Data collected over a six and a half-year period from 2014 to 2021 is analysed and evaluated with MSE, MAE, and RMSE performance parameters. The best results for Litecoin price prediction are achieved when LSTM model is used.
Analysis on the Dynamic Control Strategy of College Students' Thinking Based on the Background of Mobile Multimedia

In order to help the school master the ideological state of college students in time and carry out the ideological and political education of college students, this paper proposes a dynamic evaluation model of College Students' ideology based on network media and data mining. By capturing the content of College Students' microblog, combining with emotion analysis, feature word extraction and natural language processing technology, using data mining methods such as clustering, topic detection and association analysis, this paper constructs the relationship between College Students' ideological trends and microblog content. In this paper, crawlers are used to capture the official microblog content and comments, extract and analyze keywords, and grasp the ideological trends in time through word cloud display and K-means clustering analysis, so as to obtain the hot topics they are concerned about for a period of time. It is of great significance to provide targeted methods and strategies for college students' Ideological and political education and help them establish correct values and ideas.
Admissibility And Perplexity Of Digital Evidence: An Overview

The research paper has been started with the concept and meaning of digital evidence. In addition, the principles of the Evidence Act have been explained with amendments with respect to digital evidence. Several judgments of the Supreme Court of India have been cited in the context of admissibility and perplexity of digital evidence. Lastly, the safeguards and procedures to be followed by the Indian judiciary in handling digital/electronic evidence are also mentioned in the research paper.
Enhanced geometric constraint-based phase unwrapping algorithm in binocular stereo vision fringe projection system

Phase unwrapping plays an important and central role in phase-based digital fringe projection profilometry. The unwrapping quality directly influences the three-dimensional measurement accuracy. Recently, an effective geometric constraint-based phase unwrapping algorithm has been proposed to obtain the continuous absolute phase map and the unwrapped phase accuracy was found to be high. However, in this technique the virtual depth plane at z = z min is often created empirically, which increases the manual measurement error. For this reason, this paper proposes a method for accurately constructing the virtual plane and further applies it to phase unwrapping of objects with a larger depth range. In this method, a binocular stereo vision system is used as the measurement set-up for the virtual depth plane construction and a series of virtual depth planes at z = z i min (i ≥ 2) is automatically built using a computational framework. Then, the phase is unwrapped for each region according to the continuity of the unwrapped phase and a complete absolute phase map is obtained by merging the unwrapped phases in all regions for 3D reconstruction. In this process, the virtual depth planes are created automatically and quantitatively by the measurement system. No human intervention is required and it greatly reduces the manual measurement error. Experiments show that the artificial virtual planes can be built accurately and the phase is unwrapped correctly and readily.
Development Of Interactive Learning Multimedia With Challenge Based Learning To Empower Vocational Students’ Problem-Solving Ability

Based on the results of observations and interviews at SMK Negeri 12 Malang and several SMKs in Malang, it shows that, (1) Lack of adequate and easily accessible learning resources; (2) Learning resources only rely on material demonstrations with the help of .pdf and .ppt files; (3) The low problem solving ability of students in solving programming problems; (4) The material only refers to BSE whose competence is not in accordance with the current curriculum; and (5) Lack of use of smartphones by students in learning activities. This research and development aim to develop, test the feasibility, and determine the effect of PWDPB application learning media on students' problem-solving abilities. The research and development model adopts the ADDIE development model. The results of material validation by 2 experts obtained a percentage of 89.13 percent, the results of media validation by experts obtained a percentage of 92.73 percent, the results of small group trials obtained a percentage value of the media feasibility level of 78.32 percent, and 88.93 percent for In large groups, the level of media influence on students' problem solving abilities in small groups obtained a percentage of 74.42 percent and 85.69 percent in large groups. Based on the data from the validation and trial results, the PWDPB application learning media can be concluded. As follows: (1) the overall feasibility through the evaluation stage, the response criteria are quite feasible; (2) The effect of the product on the user's problem-solving ability obtained a response from the user with quite good criteria.
Frog Leaping Genetic Algorithm for Cloud Text Document Retrieval

Collection of document on cloud storage need security and organized collection. Many of researcher work on both issues separately, so this paper has resolved it in single model. Paper has proposed a highly secured model that store encrypted data on cloud as per user. Encrypted data was clustered automatically by the cloud with and extra information. This encryption provide data privacy to the scholar at all level of work. Frog Leaping genetic algorithm was use for the clustering of the encrypted document files. Dynamic nature of frog food search algorithm help content clustering. User can search content by passing encrypted query on cloud and cloud generate relevant list of document file. User can decrypt file by having credential from data owner. Experiment was done on real document dataset of research document files form field of engineering. Results shows that proposed model increase the retrieval relevancy of document in secured environment.
PENERAPAN METODE THE SIGNAGE PYRAMID (TSP) MODEL PADA ANGKOT STOP SIGNAGE DI KOTA BANDUNG

Stop signs for public transportation as visual communication placed on pedestrian areas serve to provide information as a sign where public transportation must stop and become a place where passengers can wait for a ride. In 2016 the City of Bandung through the Department of Transportation imposed a stop sign with a new design. This change was made in connection with the Bandung Urban Mobility Project (BUMP) as one of Bandung's visions to become a smart city. The purpose of the sign is to meet the needs of the community in carrying out activities using public transportation to stop at the right place. But in reality, there are still many people who misunderstand the function of signs because they are considered unable to meet their needs. The purpose of this study was to evaluate signage based on user experience, especially on Angkot stop signs designed by Kudos Design Collaboratory. By using The Signage Pyramid Model (TSP) method for analysis, this study will provide evaluation results and recommendations for the Angkot Stop Signage design concept that has taken into account the needs and experiences of public transport users. Keywords: User Experience; Signage; Stop Signage; TSP; Environmental Graphic Design
Artificial Intelligence and Copyright: Issues and Challenges

The increasing role of Artificial Intelligence in the area of medical science, transportation, aviation, space, education, entertainment (music, art, games, and films), industry, and many other sectors has transformed our day to day lives. The area of Intellectual Property Rights is not an exception. The role of AI in creativity and innovation has been recognized worldwide. AI has a significant role to play more specifically in copyright, patents, designs, and trade secrets among various types of IPRs. AI can inter alia, compose music, write blogs, novels, poetry, generate paintings and drawings. The distinction however, has to be made between the works created by a person with the assistance of AI and the one created by AI itself without any human intervention. AI has created serious issues and posed challenges in the areas of intellectual property rights more particularly in copyright law. The present article discusses how AI is important in producing creative works such as arts, music, poem, novels among other things. The article will also discuss the issues of authorship and “deep fakes” in the work produced by the AI autonomously. The article discusses the legal position in several countries and deals comprehensively with several models of authorship in AI-generated works. The discussions being made in this regard at the WIPO have also been discussed in the article.
Splitter Associated with Cryptographic Model to Secure Data Transmission over the Cloud

A secure cryptographic model has been proposed to secure the data transmission. In the proposed work, for security purpose data has been split in two layer cloud and fog using splitter. As the data is traveling on two layers, there are no chances of complete loss of data. In the research work, the IP address and port number has been specified, proposed model provide the security on session layer. In addition the comparison of tradition and proposed work has been made. In comparison the different factor such as Security, Reliability, Packet dropping, Congestion, Transmission path, Port etc. The splitting of data in two layers would be applicable to decrease the chances of complete data loss by one at attempt. In the research work both side the IP address and port number has been used which would provide the security to the system. The research would be beneficial by the point of view of security. At the application layer, the proposed solution has given a more secure method to protect data from active and passive attacks. The suggested model was compared to an existing security model in the research. When comparing packet dropping in conventional and suggested work, it was discovered that packet loss was less likely in proposed work. Traditional security methods were shown to be ineffective. By separating and encrypting data using sophisticated cryptographic mechanisms, the proposed method ensures data security. This system has a lower chance of packet loss and congestion. This study looked at active and passive attacks in order to offer network security at various layers. Security is given to packets in the proposed work by splitting them into several sections. The need for a new security system has arisen as a result of the limitations of conventional security methods.
A Procedure for the Correction of Back-to-Front Degradations in Archival Manuscripts with Preservation of the Original Appearance

Virtual restoration of digital copies of the human documental heritage is crucial for facilitating both the traditional work of philologists and paleographers and the automatic analysis of the contents. Here we propose a practical and fast procedure for the correction of the typically complex background of recto–verso historical manuscripts. The procedure has two main, distinctive features: it does not need for a preliminary registration of the two page sides, and it is non-invasive, as it does not alter the original appearance of the manuscript. This makes it suitable for the routinary use in the archives, and permits an easier fruition of the manuscripts, without any information being lost. In the first stage, the detection of both the primary text and the spurious strokes is performed via soft segmentation, based on the statistical decorrelation of the two recto and verso images. In the second stage, the noisy pattern is substituted with pixels that simulate the texture of the clean surrounding background, through an efficient technique of image inpainting. As shown in the experimental results, evaluated both qualitatively and quantitatively, the proposed procedure is able to perform a fine and selective removal of the degradation, while preserving other informative marks of the manuscript history.
IMPORTANCE OF SOCIAL RESPONSIBILITY IN BUSINESS SECTOR OF BOSNIA AND HERZEGOVINA

Because of the benefits for all stakeholders, corporate social responsibility (CSR) is a concept that is now becoming increasingly popular and is also an integral part of doing business in the modern world. Through applying CSR, the business sector contributes to sustainable development and companies use it as their competitive advantage because it represents not only a desirable but also a necessary form of behavior in all business activities. The aim of this paper was to investigate the level of CSR policies implementation in small, medium, and large companies that are operating in Bosnia and Herzegovina. The research instrument is adapted in order to analyze the application of particular CSR policies: workplace policies, environmental policies, marketplace policies, and community policies. The study also analyzed the possession standards related to the CSR implementation practice. For the purposes of the survey, data were collected from 90 companies operating in Bosnia and Herzegovina. The collection of primary data was conducted using the online survey technique. Based on the conducted research, it has been obtained that companies in Bosnia and Herzegovina, regardless of the size of the companies, apply certain forms of CSR policies in their operations. The analysis also found that companies in Bosnia and Herzegovina attach different importance to certain CSR policies. The results related to the selection of CSR areas, the directing of financial resources in CSR, as well as the method of decision-making, and the degree of application of norms and standards, indicate that companies in Bosnia and Herzegovina do not have a strategic approach to CSR. Economic responsibility is the primary responsibility of companies in Bosnia and Herzegovina, but following current global trends, it is necessary to work to improve other dimensions and areas of CSR. The lack of significant differences in practices of CSR companies in Bosnia and Herzegovina, with regard to their size and giving the most importance to economic aspects of CSR, indicates an insufficient understanding of the modern approach to CSR from the side of the management of the companies. Government as well as the non-profit sector should support companies in implementing CSR policies to become more environmentally and socially responsible. Nevertheless, although there is no strategic approach, it can be concluded that companies in Bosnia and Herzegovina implement certain CSR policies. Based on the research results, the paper provides an overview of CSR policies in Bosnia and Herzegovina and offers some implications guidelines for managers, as well as guidelines for future CSR research.
Computer Aided Diagnosis System for Classification of Mammogram using Deep Learning Algorithm

Develop a completely automated CAD (computer aided diagnosis) system for full mammogram screening for breast cancer diagnosis is still challenging problem. In most of the cases, full mammogram based CAD system comprises of following processing segments; pre-processing of raw images, image enhancement, ROI detection, two stage mass classification, at first stage normal or abnormal mass classification and at second stage abnormal mass is further identified as benign or malignant. For BI-RADS classification, Automated CAD systems have not obtained the required efficiency. An important factor for detecting the mass and classifying it, is breast density. The core concept behind this work is to achieve a desired accuracy for classifying mass using proposed work of completely automated system more intended on breast mass density. Texture quantification of the full mammogram images is used for measuring breast mass density. Proposed completely automated CAD system framework based on mainly Breast mass density(calculated by texture quantification) using the mammographic image dataset and also explored the other approaches in the same direction.
EDUCATION AS A CRITICAL INFRASTRUCTURE

Abstract: Education is generally considered only a social process. Complexity, importance, flexibility and social security are strong arguments in defining education as a critical infrastructure. The educational system as a formal part of education is the one analyzed and the result fully gives education the status of critical infrastructure.
PERANCANGAN MODEL APLIKASI PENJUALAN MENGGUNAKAN METODE QUALITY FUNCTION DEPLOYMENT DAN SYSTEM DEVELOPMENT LIFE CYCLE : Studi Kasus Di Sentra Batik Tulis Giriloyo

Giriloyo batik village is a center for written batik in Giriloyo hamlet, Wukirsari village, Imogiri Bantul district, Yogyakarta. This Giriloyo batik village produces hand-drawn batik cloth with natural and synthetic coloring. Based on data from the financial department of the Giriloyo batik village, sales of batik products in Giriloyo have decreased by 67.78%. Based on these problems, the researcher proposes to design a sales application model as an alternative to selling batik products. This study aims to determine the features required by visitors of Giriloyo written batik for the sales application. The method used in this research is Quality Function Deployment to determine consumer needs and the Development Life Cycle system for designing application models. The results obtained from this study are a list of consumer needs for sales applications, namely Shopping through the application, Balance for transactions, is discount is reference information on the use of written batik models, is information on learning batik,  There is information on directions to the village of Giriloyo batik , There is information about the profile of the Giriloyo batik village , Application security , Interesting appearance . For application features, namely shop features, epay features, discount information, batik of the day, nyanting, locator features, my batik features, account features and attractive designs.
Factors affecting awareness of phishing among generation Y / Nur Farhana Mohd Zaharon, Mazurina Mohd Ali and Suhaily Hasnan

The purpose of this study was to determine the factors affecting awareness of phishing among Generation Y in Malaysia. Specifically, this study identified three factors that may influence awareness of phishing by applying the Theory of Technology Threat Avoidance. The factors are social engineering, anti-phishing knowledge, and security concern. Data was collected through a questionnaire survey. This study found that all the factors significantly influenced awareness of phishing among Generation Y in Malaysia. The findings of this study provide a further understanding of the factors that affect awareness of phishing. This study would benefit the public, especially Generation Y, the government, and all types of businesses, including financial institutions, by raising awareness of phishing and reducing phishing attacks.
Opportunities Created by Digital Technology and Increased Data

The major goal of this paper is to raise awareness of how digital technologies are altering traditional practices in a variety of sectors. When it comes to education, digital technologies have revolutionized it by replacing paper books with e-books, and classroom instruction with live video streaming. Connecting teachers and students across the world through internet. How storage evolves from hardware to completely online. How managing data is big domain for MNCs to work upon it.
Space-Based Information Service Recommendation Algorithm based on Hybrid Strategy

Abstract The recommendation technology has been applied to all walks of life, but it is rarely used in space-based information service. Considering the advantages of the recommendation technology and the particularity of space-based information service, a space-based information service recommendation algorithm based on hybrid strategy is proposed. Based on the different stages of the user, the similarity calculation is carried out from three aspects of user attributes, non-common service and service interest. The missing data in the service interest model is predicted by singular value decomposition to solve the problems of cold start and data sparse. Finally, the proposed algorithm is compared with the traditional algorithm, and the accuracy and scalability of the proposed algorithm are improved.