Reviewerly/exHarmony huggingface dataset:
INFORMATION PROFESSIONAL AND THE KNOWLEDGE ORGANIZATION IN THE DATA WEB

Digital inclusion is also related to the development of skills and competences in individuals for efficient access, use and dissemination of information.In addition, continuous technological evolution, such as the emergence of the semantic Web, leads to new profiles and demands of the information professional.The organization and management of information with large collections of materials need to constantly reassess the identity and main purposes of its users.Libraries are continually developing processes and services in order to exploit the benefits of the Semantic Web.In this work, we discuss the main trends in this field, especially those that influence the context of the Web of Data.
Characteristic Analysis of Navigable Flow Conditions and Numerical Simulation of Water Conservancy in Steep Bay Section of the Navigable Tunnel

Compared with traditional low-standard ship locks, large-section navigable tunnels have the advantages of increasing water resources dispatching, increasing ship crossing channels and shipping. It is necessary to explore the characteristics of navigable flow conditions under the condition of navigable tunnel and study effective measures to improve the navigable flow conditions at the entrance of approach channel of navigable tunnel in steep bay section. However, the existing research results neglect the navigation channel layout in the steep bay section, and it’s lack of theoretical research on improving the flow conditions at the entrance of approach channel of navigable tunnel in the steep bay section. For this, this article studies the characteristics of navigation flow conditions and numerical simulation of water conservancy in steep bay section of the tunnel. Firstly, the physical model of tunnel navigation in steep bay section is designed to ensure the geometric similarity, flow movement similarity and dynamic similarity between the model and the actual situation in steep bay section. Then, the numerical simulation of navigation water conservancy in steep bay section of tunnel is carried out, and the continuity equation and momentum equation in the new coordinate system are given. This article explores the navigation scheme of large cross-section navigable tunnel in order to obtain effective measures to improve the navigation conditions of this section. Finally, the corresponding experimental results and analysis are given.
Kanchay_Yupana//: Tangible rhythm sequencer inspired by ancestral Andean technologies

The Kanchay_Yupana// is an open-source NIME for the generation of rhythms, inspired by the Andean yupana: a tangible board similar to an abacus of different sizes and materials with a system of carved geometric boxes into which seeds or pebbles were disposed to perform arithmetic calculations, used since pre-colonial times.As in the traditional artifact, the interaction of this new electronic yupana is based on the arrangement of seeds on a specially designed board with boxes, holes, and photoresistors.The shadow detected by the seeds' positioning sends real-time motion data in MIDI messages to Pure Data in a drum machine patch.As a result, percussion samples of Andean instruments fill pulses in a four-quarter beat, generating patterns that can be transformed live into different rhythms.This interface complements the Electronic_Khipu_ (a previous NIME based on an Andean khipu) by producing the rhythmic component.This experience unites ancestral and contemporary technologies in experimental sound performance following the theoretical-practical research on the vindication of the memory in ancestral Andean technological interfaces made invisible by colonization, reusing them from a decolonial perspective in NIMEs.
Cryptocurrencies, Money and Law

The law should help shape the common knowledge of cryptocurrencies, align market expectations, avoid conflicts and reduce transaction costs. Cryptocurrencies can be owned and transferred as a special kind of property. This specialty results from the trust and credit that cryptocurrencies are bestowed on, the fungibility and liquidity that serve their monetary functions, and systemic stability concerns for the public interest.
An Efficient Lightweight LSB Steganography with Deep Learning Steganalysis

Active research is going on to securely transmit a secret message or so-called steganography by using data-hiding techniques in digital images. After assessing the state-of-the-art research work, we found, most of the existing solutions are not promising and are ineffective against machine learning-based steganalysis. In this paper, a lightweight steganography scheme is presented through graphical key embedding and obfuscation of data through encryption. By keeping a mindset of industrial applicability, to show the effectiveness of the proposed scheme, we emphasized mainly deep learning-based steganalysis. The proposed steganography algorithm containing two schemes withstands not only statistical pattern recognizers but also machine learning steganalysis through feature extraction using a well-known pre-trained deep learning network Xception. We provided a detailed protocol of the algorithm for different scenarios and implementation details. Furthermore, different performance metrics are also evaluated with statistical and machine learning performance analysis. The results were quite impressive with respect to the state of the arts. We received 2.55% accuracy through statistical steganalysis and machine learning steganalysis gave maximum of 49.93~50% correctly classified instances in good condition.
SEMI RECURSIVE ESTIMATION OF CONDITIONAL CUMULATIVE DISTRIBUTION FUNCTION FOR FUNCTIONAL DATA UNDER MIXING CONDITION

This article studies the problem of nonparametric estimation of the conditional model of a scalar response variable $Y$ given a functional random variable $X$. Our estimate is based on semi recursive approach. The asymptotic properties of the proposed estimators are established Under Mixing Conditions.
An Ethereum Private Network for Data Management in Blockchain of Things Ecosystem

The advent of blockchain technology in the development and design of smart internet of things (IoT) systems offers the opportunity to secure and transfer data flow, preserve its integrity, and provide transparent mechanisms for its management. Blockchain has actually attracted applications in vital fields because it provides many advantages over centralized database such as traceability, confidentiality, availability and trust. A private network offers the most secure and peer-restricted environment for big data flow, specifically in IoT ecosystems. An integrated blockchain-IoT ecosystem in which three Raspberry Pi 4 nodes communicate and interact in a closed loop to control smart applications via an Ethereum platform in a secure and an efficiently emulated environment is piloted. The proposed blockchain of things (BCoT) ecosystem adds a new layer to the physical, network and application layers of a typical IoT architecture. The concept of a fully decentralized private Ethereum BCoT network may find applications in several fields that call for the removal of single-point of failure and ensures data integrity and transparency.
Sentiment Analysis Od Face To Face School Policy On Twitter Social Media With Support Vector Machine(SVM)

Twitter social media is one way to get fast information, especially related to face-to-face learning system where during covid-19 pandemic learning is held online. In this case government has informed related to the face-to-face learning system as well as the community or students gave an enthusiastic response to the policies provided by the government including giving a good response to these policies and some of them disagreeing with these policies. In this case, the researcher analyzes public opinion on government policies related to face-to-face learning on Twitter social media using the Support Vector Machine algorithm. By doing an analysis related to government policies regarding learning during the COVID-19 pandemic, the government can find out how the public responds and can make decisions. Based on a series of processes that have been carried out previously using the Support Vector Machine method by applying the TF-IDF weighting function, the results can reach 93%. To see the level of accuracy of the proposed method, the researchers made a comparison by applying several other methods. The accuracy results obtained from the support vector machine method are 93%, based on the accuracy obtained, it can be determined that the level of accuracy using the Support Vector Machine method is quite high in classifying sentiment data, but when compared to other methods, namely nave Bayes, which obtains an accuracy of 94%, Logistic Regression which obtained 93% accuracy, and K-NN which obtained 90% accuracy. Thus, the accuracy results of four methods are not too different.
Development of Multi-Developer Housing Marketing Information System Using Rational Unified Process Method

Rumah Garut is a company engaged in selling property to several housing developers. In the housing marketing process, it is still carried out offline, where the developer carries out the registration process with marketing company, then makes brochures and markets them at exhibitions. This method is considered inappropriate, given the large number of housing units registered by the developer, as it would delay the marketing or sale of the house. This research aims to develop an online marketing information system that can be carried out with multiple developers so that each developer can manage and inform their housing effectively and efficiently. The system design method is the Rational Unified Process (RUP), which consists of the stages of inception, elaboration, construction, and transition. The results of this study are in the form of a multi-developer housing marketing information system that can assist housing developers in managing and users in accessing housing information and ordering online. Meanwhile, based on the results of black box testing, it shows that the features developed are in accordance with the specified system functional scenarios, and testing the results of beta testing produces a score of 93.7%, which means that the housing marketing system meets user needs.
Design Of Health Service Mobile Application Interface Using User Centered Design Method

: In this modern era, many things that have been digitized indirectly help in community activities, especially in obtaining public service facilities. This clinic is one of the public facilities in Purwakarta Regency which is engaged in health services to facilitate services to the community. One of the efforts of this Clinic is to continue to provide effective and efficient health facilities under any circumstances and aims to increase the attractiveness of patients to the clinic. The purpose of this research is to design a health service mobile application interface using the User Centered Design method to provide health service information to the general public. User centered design is a design process that focuses on user needs, by carrying out 5 stages, namely Understand Context of Use, Specify User Requirements, Design Solutions, Evaluate Against Requirements. Products developed using this method are optimized for users and emphasized on how the user needs or wants to use a product. Interface testing uses the Single Ease Question as a measure of the success rate of interface design that has been made. The results of this study resulted in an interface design that is in accordance with the characteristics of the general public, this is evidenced by the results of the evaluation using the Single Ease Question getting an average score of 6.7 out of 5 assignments given to 5 respondents during the testing stage, so it can be concluded that the score It has a good level of convenience and is easy to use.
Implementation of Information Technology Governance in Man 1 Medan Using the Cobit 5 Framework

In response to the rising usage of information technology, organizations should implement an information technology plan aligned with company goals. Similarly, in education, information technology is used for business purposes. The purpose of this research is to look into the implementation of information technology governance utilizing the COBIT 5 framework. This study was carried out at MAN 1 MEDAN. The survey technique collects data through the distribution of questionnaires to information technology managers and key users in various businesses. Descriptive research discovered that the state of governance and information technology implementation at MAN 1 MEDAN was at level 3 on a scale of 0 to 5. This demonstrated that institutional behaviors had been adequately recorded and internalized. This study aims to contribute to research on the use of information technology governance, particularly for educational institutions and information technology managers, as input material in the management of information technology resources in other institutions. These associated problems are essential considerations for parents or students when selecting a Medan MAN 1 school with a high degree of IT facilities.
Implementation of CV Metha Developing Palembang Goods Ordering System

Abstract&#x0D; CV Metha Berkembang is one of the companies engaged in the production and sale of aluminum sills. The sales process on CV Metha Berkembang has not been computerized where orders are made with consumers coming directly to the company's location or being able to call the company's phone number. An uncomputerized ordering process is needed in a company, where the ordering system does not require consumers to come to the place. For this reason, an ordering information system is needed that can make it easier for CV Metha Berkembang to carry out ordering activities. The system development method used is the prototype method, while for modeling the system used, namely flowcharts, data flow diagrams and entity relationship diagrams and conducting functional testing with blackbox testing. The result of this final project is in the form of a Website Application that aims to help the ordering process. This application is useful for the admin department to be able to confirm orders and input sold stock data. With this application, it can help consumers, leaders, managers, and admins in processing order data, sales stock, and total stock of goods.
Fake Article Detection Application With Rabin Karp Algorithm

Currently, fake (fake) information/articles are increasingly widespread. Surveys show that people receive fakes more than once a day. The most used channel for spreading fakes is social media. The fake phenomenon in Indonesia raises doubts about the information received and confuses the public. Artificial intelligence is an intelligent machine (computer), where a machine is trained in advance (machine learning) to solve certain problems. This artificial intelligence is expected to work faster and more accurately. There are several methods that can be implemented, one of which is using the Rabin-Karp algorithm. Where the reason for choosing the Rabin karp algorithm is that there is a process that can filter existing writing so that it is suitable for the problems discussed, namely article writing and an algorithm that can work at high speed so that users do not need a long time to receive predictive results for articles.
Forward Selection Attribute Reduction Technique for Optimizing Naïve Bayes Performance in Sperm Fertility Prediction

The problem of infertility between husband and wife is an important issue that destroys family harmony, and many people still consider infertility or infertility a female problem. However, about 7% of men of childbearing age suffer from infertility. The biggest factor causing male infertility is sperm quality problems. Sperm analysis can be the best predictor of male fertility potential. Machine learning and data mining techniques can be used to automate disease diagnosis. This study aims to obtain a regular form classification model from sperm sample data of 100 volunteers. This classification model can be used to predict male fertility levels into 2 classes, namely normal and alter (decreased fertility). This study uses a fertility dataset obtained from the UCI Machine Learning Repository. Before the data mining process, data preprocessing is required. The classification process is carried out using Naive Bayes and attribute reduction techniques using forward selection to see the increase in the accuracy of Naive Bayes performance. The Naive Bayes test without attribute reduction has an accuracy of 85%, while attribute reduction with forward selection has an accuracy of 88% in predicting sperm fertility. Therefore, by using forward selection with Naive Bayes to reduce attributes in this study, this study was able to increase accuracy by 3% and can be used to help predict sperm fertility
Analysis and description S-box generation for the AES algorithm-a new 3D hyperchaotic system

In this paper, a description, and analysis of a novel 3-D dimension hyperchaotic system is implemented. The proposed system oscillation is two-order autonomous and consisted of a nine-term and symmetric oscillation w.r.t x-axis. It is proved analysis by Kaplan-York dimension, waveform analysis, phase portrait, and Lyapunov exponent. This work-study stability and equilibrium point and Routh stability criteria produced that the new system has one unstable point from the type saddle-focus point. One of the characteristics of the proposed system is hyperchaotic since this system has two Lyapunov large than zero. This system is applied to generate a chaotic (S-box) based in advanced encryption standard (AES) algorithm for text encryption and gives a high level of security. In addition to the description, and analysis S-box. Therefore. the proposed algorithm is satisfied the high randomness of entropy value and passes the National Institute of Standards and Technology (NIST) parameters and another test. Mathematica and MATLAB programs simulated some results.
Discover human poses similarity and action recognition based on machine learning

In the computer vision field, human action recognition depending on pose estimation recently made considerable progress, especially by using deep learning, which improves recognition performance. Therefore, it has been employed in various applications, including sports and physical activity follow-up. This paper presents a technique for recognizing the human posture in different images and matching their pose similarity. This aims to evaluate the viability of employing computer vision techniques to verify a person's body pose during exercise and determine whether the pose is executed properly. Exercise is one strategy we use to maintain our health throughout life. Gymnastics and yoga are two examples of this type of exercise. The proposed algorithm identifies human action by recognizing the body's key points. The OpenPose library has been used to detect 18 key points of the human body. The action classification task is performed using the support vector machine (SVM) algorithm. Then, the algorithm computes the similarity of the human pose by comparing a model image to a test image to determine the matching score. Evaluations show that our method can perform at a competitive or state-of-the-art performance on a number of body pose datasets.
In-motion 3D reconstruction of high dynamic range surfaces

Efficient and refined three-dimensional (3D) reconstruction of industrial parts has become an urgent need in the field of advanced manufacturing, and it's a great challenge when facing in-motion and online inspection requirements of high dynamic range (HDR) surfaces that have large reflectivity variations. This paper proposes a method using RGB line-scan cameras to realize in-motion multiple-shot 3D shape measurements with RGB channel fusion to increase the measurement dynamic range. First, multi-channel one-dimensional background-normalized Fourier transform profilometry (MC-1DBNFTP) is proposed as an effective in-motion HDR method. Second, for HDR surfaces with strongly overexposed areas, we propose a solution that obtains 6 results of different dynamic ranges for fusion with only 5 projected patterns, which further extends the measurement dynamic range while ensuring the small projection period. Third, we develop a fusion method based on reliability evaluation, which is more reliable than the existing methods in fringe projection systems. In addition, colored textures can be mapped to the reconstructed surfaces. Experimental results prove that the proposed method realizes accurate and reliable in-motion 3D reconstruction of HDR surfaces.
Learning with Errors Public Key Cryptosystem with Its Security

The main purpose of this paper is to introduce the LWE public key cryptosystem with its security.In the first section, we introduce the LWE public key cryptosystem by Regev with its applications and some previous research results.Then we prove the security of LWE public key cryptosystem by Regev in detail.For not only independent identical Gaussian disturbances but also any general independent identical disturbances, we give a more accurate estimation probability of decryption error of general LWE cryptosystem.This guarantees high security and widespread applications of the LWE public key cryptosystem.
PENGARUH METODE DISCOVERY LEARNING DENGAN MEDIA POWTOON TERHADAP HASIL BELAJAR MATEMATIKA SISWA KELAS V SEKOLAH DASAR

This study aims to determine the effect of the discovery learning method assisted by poowtoon media on the mathematics learning outcomes of fifth grade students at SD Negeri 06 Kampung Lapai. This type of research is experimental research. The population of this study were all students of class V Negeri 06 Kampung Lapai for the 2022/2023 school year with a total of 30 students. Samples were taken by means of random sampling, obtained by students of class V-B as the experimental class and students of class V-A as the control class. Data collection techniques using tests. The results showed that the average score of learning outcomes after being given treatment in the experimental class was 99.2 and 97.7 in the control class. Hypothesis testing shows tcount &gt; ttable, where tcount is 0.317 &gt; ttable 0.206 then H0 is rejected and H1 is accepted. It can be interpreted that the discovery learning method assisted by powtoon media has an effect on the learning outcomes of mathematics in fifth grade students at SD Negeri 06 Kampung Lapai.
Aplikasi Pendataan Berita Acara Temuan Selisih Berbasis Web Menggunakan Metode SWOT

In today's modern world, the use of a multi-format system is still very much needed. Using a desktop-based application, this MIS program is packaged in a form that is easy for users to run. Research on this system is to find out what are the problems when the program is run. Based on this reason, the authors analyze the Multiformat Information System Application System for Receipt and Stock of Goods Using the Method SWOT. SWOT analysis through four factors, namely Strengths (Strengths), Weaknesses (Weaknesses), Opportunities (Opportunities), Threats (threats). This model is used with the aim that quality can be measured explicitly. The results of this system analysis are expected to be able to solve existing problems, so as to improve the performance of the system.