Reviewerly/exHarmony huggingface dataset:
PROBLEMS IN COMPARING VERY SIMILAR HANDWRITINGS

In forensic handwriting examination, the examinator is often confronted with extremely similar handwritings. This often re sults in wrong judgments. This circumstance is to be countered by means of a more specif ic approach than usual, and, thus, by using comparison methods base d on systematic scales of quantified and therefore highly differentiated quality analysis, followed by a systematic numerical approach. Some appropriate instruments have proven to be very useful and convenient in this context so as to achieve scientifically based assessments/ Key words: forensic expert activity, forensic expert, handwriting examination, handwriting comparison.
DETECÇÃO AUTOMÁTICA DE DEDOS E FALANGES EM RADIOGRAFIAS CARPAIS

In this work, a methodology was developed to perform the pre-processing and identification of regions in radiographic images of the hand, which can be used as the first step of an automated bone age estimation system.The results obtained with enhancement and binarization algorithms, hand and bone segmentation, as well as the automatic detection of these elements are presented.With this information, it is possible to implement different methods for assessing bone maturity, either examining its dimensions or performing comparisons between images of the same segment.The main objective of this research is to identify the number and location of fingers in the hand and the 14 existing bones in the region of the phalanges.
What is Participatory Design?

Design is formally practiced and taught in India since its nation building initiatives, it has long diversified to find its own meanings and forms within the local context and needs. Today, design in India can reflect on its methodologies and processes including participatory design and user-led design. To this end the National Institute of Design, Ahmedabad, is hosting India PDC place as an exhibition of case studies and a curated discussion panel. The intention is to understand and map the landscape of participatory design in India and initiate new practitioners, students and people from related fields into the methodologies and values of Participatory Design.
Following Seals and Dogs

Present eco-social crises call for transformative design practices, which include personal dimensions of transformation and self-reflection. This paper builds on ongoing discussions in participatory design about personal transformation and its impact on broader societal change. The paper presents two reflective accounts on transformative encounters with creative practices, to explore how to better understand and nurture personal transformations in participatory design. The common themes emerging from these accounts point to the importance of noticing small events that might seem subtle or mundane at first, but upon reflection, become critical in contributing to personal transformation. The paper argues that the personal dimension of transformative design plays an important role in fostering eco-social change, and that self-transformation can be nurtured by creating space for spontaneity, letting-go, shifting of perspectives and trusting into emerging elements that unfold beyond our control as designers.
Authentication and Authorization for Electronic Health Records Using Merkle Tree – Attribute-Based Encryption

Healthcare 4.0 has brought with it a lot of opportunities for digitization and automation. Electronic health records are critical to ensure the advantages of Healthcare 4.0 are properly leveraged. When health data is digitized, privacy concerns begin to increase. This chapter proposes a variant of attribute-based encryption called Merkle Tree-Attribute Based Encryption based on Merkle trees to ensure proper authentication and authorization. All healthcare personnel are tagged with identifying information, which is arranged on a Merkle tree. Any user requiring access to an electronic health record will have to generate a randomized token and send it across for authentication. The server will verify the authenticity of the token and verify the authorization using the Merkle tree. Unless the Merkle root gives the proper hash, no access is granted. Considering that Merkle trees can give a good level of post-quantum resistance, the method is expected to maintain its integrity.
Quantum Computing-Based Optimization in Depression Detection Using Speech

Quantum Computing takes into consideration quantum bits to perform calculations. Quantum computing-based evolutionary algorithm optimization solves the problem of the curse of high dimensionality. As the Depression Dataset (Distress Analysis Interview Corpus dataset Wizard-of-Oz dataset) and a Collaborative Voice Analysis Repository for Speech Technologies is having a high number of features in comparison to the low number of samples, it becomes essential to reduce the dimension in order to avoid overfitting. The quantum-based evolutionary algorithm can play a vital role in feature selection as compared to traditional feature selection methods as the former took less time and space complexity to obtain a relevant subset of features. The various frequency-based features that are extracted from the speech for depression detection render the data of high dimension. As the wrapper feature selection is extensively time-consuming there is a need to devise an algorithm for feature selection that is both time-efficient and space-efficient. The quantum-based optimization algorithm is a mixture of quantum concepts and the optimization algorithm which helps in reducing the feature space and shrinks it to the optimal solution. In this chapter, we would focus on how quantum-based optimization algorithms can play a vital role in feature selection in efficient time and efficient space in depression detection from speech.
A Brief Study on Quantum Walks and Quantum Mechanics

It has recently been discovered that quantum walk algorithms may be utilised to develop quantum algorithms and that they can be used as a universal paradigm for quantum computing. While relativity is a well-known concept, quantum mechanics is significantly more well recognised than relativity. Currently, there has been no finding of an event that deviates from the predictions of quantum mechanics at the time this chapter was published. While modelling carrier transit in nano-electronic systems, quantum mechanics is used to help solve some of the problems. Understanding the current state of science and related research is becoming increasingly important field of quantum mechanics and quantum walks expand into new areas of investigation. Having a distinct viewpoint on quantum walks and quantum mechanics is becoming increasingly important when it comes to understanding the current state of science and related research. Because of their potential uses in quantum information science, such as the deployment of quantum algorithms and the conducting of quantum simulations of other systems, they have gained in popularity. This chapter will examine the fundamentals of quantum walks and their relationship to quantum mechanics, with a particular emphasis on their applications in drone-based networks as a starting point.
Internet Financial Risk Model Evaluation and Control Decision Based on Big Data

Internet finance is the application of advanced information technology to traditional finance. Internet finance is accelerating its growth, and its performance is most obvious in the financial market. The Internet financial reduces costs of traditional financial, which makes it more civilian. The unstable factors of Internet finance, such as regulation, credit reporting, and network security, lead to a gradual increase in risks. The current Internet financial risk model is slow to deal with risks and cannot solve the financial risks that arise in time to ensure the safety of the platform. In order to solve this problem, the big data technology was applied to the Internet financial risk model to evaluate and control financial risks. The default rate, rate of return, risk control time, model performance score, and other aspects of the Internet financial risk model using big data were tested. It is found that by applying big data technology to the Internet financial risk model, the customer default rate decreased by 6.14%, the yield increased by 7.6%, the time to deal with risks was reduced by 0.46 minutes, and the model performance score was improved by 0.796 points. Big data technology can effectively control and avoid Internet financial risks and help investors avoid risks.
A Novel Image Quality Assessment Method for Dehazed Image

In order to measure the effectiveness of dehazing algorithm, we need an objective and fair defogging quality evaluation algorithm to evaluate the effect of image defogging. Image quality is an important metric to compare the performance of defogging algorithms and optimize system parameters. At present, Image Quality Assessment (IQA) methods can be divided into subjective evaluation method and objective evaluation method. In view of the extensive application of Structure Similarity Index Measure (SSIM) and Peak-Signal to Noise Ratio (PSNR) in objective evaluation methods, this paper designed a questionnaire and published it on the Internet to discuss the relationship between SSIM and PSNR and study their relationship with subjective quality evaluation methods. We collected 88 volunteers from all walks of life and invited them to fill out a questionnaire designed by us. In addition, this paper also proposes a new subjective evaluation method. Inspired by the dual-stimulus loss classification method, we design a new scoring mechanism. The results show that SSIM and PSNR have high correlation, and the degree of their linear correlation fusion is different from subjective evaluation method.
Geoscientists Without Borders® (GWB) — Applied geoscience for humanitarian need

PreviousNext No AccessSecond International Meeting for Applied Geoscience & EnergyGeoscientists Without Borders® (GWB) — Applied geoscience for humanitarian needAuthors: Cengiz EsmersoyRobert MerrillCengiz EsmersoyConsultantSearch for more papers by this author and Robert MerrillCatheart Energy, Inc.Search for more papers by this authorhttps://doi.org/10.1190/image2022-3751076.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractGWB activities continue to bring humanitarian help to communities in need using geoscience. There are fourteen funded or ongoing projects around the globe. In 2021 eighty- six new applications from five continents were received, six of which were selected for funding.Keywords: humanitarian, geoscientists, near surface, GWBPermalink: https://doi.org/10.1190/image2022-3751076.1FiguresReferencesRelatedDetails Second International Meeting for Applied Geoscience & EnergyISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2022 Pages: 3694 publication data© 2022 Published in electronic format with permission by the Society of Exploration Geophysicists and the American Association of Petroleum GeologistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 15 Aug 2022 CITATION INFORMATION Cengiz Esmersoy and Robert Merrill, (2022), "Geoscientists Without Borders® (GWB) — Applied geoscience for humanitarian need," SEG Technical Program Expanded Abstracts : 3071-3076. https://doi.org/10.1190/image2022-3751076.1 Plain-Language Summary Keywordshumanitariangeoscientistsnear surfaceGWBPDF DownloadLoading ...
The A-Star Algorithm for the Strategy of Disseminating Visitors to Shopping Centers

Shopping centers such as malls that have many tenants or shops make it difficult for many people to find the intended store and the distribution of visitors is uneven, the existence of maps or instructions makes it easy to find the target shop, Bay walk mall which has ± 100 shops with buildings which is quite broad, it should be noted how the deployment and navigation of store search is easier. This study uses the A-Star algorithm to find the shortest route, based on the destination store. Navigation application testing was conducted on Baywalk Mall visitors with a success percentage of 86.6%
Cyberbullying Prediction As Cyber Counseling Tools With Data Mining Classification

The growth of data and information has been growing rapidly while the users of information technology devices continues to increase. Moreover, the ease of access to information is supported by the presence of mobile communications technology virtually owned by each user. Currently, there is a significant increase in the number of users, which would be considered as having the opportunity for the presence of cyber crime, especially in the case of bullying. In this study, we have investigated and predicted the tendency of bullying by using a data mining approach. As for the analysis of the case studies presented and their technical implementation through a data mining approach, there are several techniques were carried out in the classification of three classes, namely no potential for bullying, violence and insults. Thus, three classes were detected based on the results of the investigation and several techniques were evaluated by utilizing a comparison of the performance of each technique. The final results will represent which techniques are the best performing and have bold factors that have a potential tendency to cyberbullying would have recommended as a follow-up for cybercounseling tools.
Implementation of a RESTful Web Service with JSON Web Token Authentication and AES-256 Cryptographic Algorithm for Mobile-Based Laboratory Loan Applications at Budi Luhur University

Leasing the lab room is one of the services provided by the Integrated ICT LAB for every citizen of the Budiluhur University campus. So far in the process of borrowing the computer laboratory, the borrower must come directly to the Integrated ICT LAB or use social networks such as WhatsApp to communicate in two directions in making loans lab. This is not effective enough to serve borrowers who are usually lecturers. In the process of borrowing the lab, there are many problems, for example, the collision between lecture schedule and lecturer activity units, student activity units and other activities that require laboratory facilities. Seeing this problem, an application is needed to facilitate lab borrowing and coordination to the mobile-based ICT LAB Assistant. Meanwhile, for integration with existing systems a web service is required as a backend system so that lab lending services can be accessed by various platforms. The architecture used in the web service uses the RESTFUL API (Application Programming Interface), but there are still some problems with the RESTFUL API, namely regarding security in the process of authentication and data encryption on borrower data. In the REST architecture, a security method is needed, namely using the JSON Web Token and the Advanced Encryption Standard-256 (AES-256) cryptographic method. On the Web Services client side that provides requests and receives responses from the server then a token will be generated for the user which becomes plain data to be encrypted then saved to the database, and pulls the cipher data to be decrypted and returned to the calling application so that it can make transactions between platforms
PHYSICOCHEMICAL EVALUATION OF SOME TALC MINERAL DEPOSITS COLLECTED FROM FOUR STATES IN NIGERIA

This paper presents the analytic comparison of the physicochemical properties of talc mineral deposits present in some states in Nigeria with the intent of providing insight to the mineral composition of the talc deposit. Samples of talc mineral ore collected from Abaji, Abuja (ABS), Kagara, Niger state (KGS), Kebbi state (KBS) and two samples were obtained from Isanlu, Kogi state (Kogi brown and Kogi grey), were analysed via X-Ray Florescence XRF for metal oxides composition, bulk density, pH, solubility, acid solubility, moisture content and loss on ignition. The result of the metal oxides composition analysis indicates the presence of SiO2 in the range between 67.27, and 53.45%, MgO is present between 21.77, and 27.68%, sample KBS being the highest and KGS the lowest. Fe2O3, in the range 2.08, 11.60 and 10.23, 11.03 and 5.86% with sample KGS having the highest content and KBS lowest. Al2O3 is present between 1.00 -2.64%. In all the samples while metal oxides such as CaO, P2O5, SO3, TiO2, K2O, Cr2O3, NiO, MnO are present in traces between 0.09 to 0.3%. The pH of the samples is in the range of 6.97-7.54, bulk density is between 0.8013- 1.390g/cm-3, the moisture content is in the range of 0.1-0.6%. Loss on ignition is 3.756 -5.370%. The results showed that the Kebbi sample has higher purity than the samples from Niger, Kogi states and Abuja.
APLIKASI MOBILE LEARNING PEMBELAJARAN VIDEO EDITING BERBASIS ANDROID PADA PERSATUAN PEMUDA SANDYA KARYA MUDA DESA REKSOSARI KEC SURUH KABUPATEN SEMARANG

The advances in mobile technology have created a new learning method known as mobile learning technology or mobile learning. This method utilizes the use of smartphones which have become part of the daily life of people of all ages and levels of education. in this mobile learning ,android platform is selected. The reason for choosing android is that it is the most popular mobile OS. This learning is designed to run on Android with the aim that it can be used easily and can be run at any time as long as you carry an Android cellphone and there is an internet connection. This application is addressed to the Persatuan pemuda sandya karya mandiri desa reksosari kec suruh kabupaten Semarang, which is an activity of a youth group that is trying to develop and improve their video streaming channel . they need learning to improve their digital video processing skills to improve the quality of their video output. because this youth union consists of various ages and various educational backgrounds, the making of learning videos must be easy to operate, easy to display and does not require complicated equipment. The development of this application is based on usability which is the most important aspect of an application.
Perancangan Video Digital Motion Graphic 2D untuk Promosi Perpustakaan Menggunakan HMDM

The Boyolali Regional Library is a means of supporting public education organized by the Government of Boyolali Regency, Central Java. It is necessary to design promotional media and library information in order to increase public interest in coming and getting to know the complete library facilities. This research designs multimedia in the form of 2D digital motion graphic video as a promotional media for the Boyolali regional library. The method used is the Holistic Multimedia Development Model (HMDM) development model whose multimedia development stage considers the guiding aspects of multimedia quality. The results of the media expert and material expert validation test with a score of 85% and 90%, respectively. While in the user test, the positive response was 86%. So that the results of multimedia design are in the very good category and in line with expectations.
Sistem Marketplace Pencarian Lapangan Futsal Menggunakan Metode Haversine Berbasis Android

Futsal is a soccer game played indoors, this game itself is played by two teams, each team consisting of five people. At this time futsal is very much in demand from various groups ranging from children to adults, so there are many futsal field rental places, especially in the city of Pekanbaru. However, the problem that occurs is that it is still difficult for tenants to find out where there is a futsal field and the nearest futsal field from where the tenant is located, including price information and field facilities. Therefore, we need a system that can make it easier for tenants to find out where there is a futsal field and the nearest futsal field from the tenant's location. This system is made based on Android so that it can make it easier for users to use this system. The method used in making this system is the Haversine method. The results obtained are a marketplace system that can make it easier for users to find out where there is a futsal field, find the nearest field and it is also easy to find out all information related to the field and can make it easier to rent a futsal field through the marketplace system.
Aplikasi Pembelajaran Pada Kelas VI SD Menggunakan Metode Linear Congruent Method

At this time the learning process is still partially carried out online (in the network) considering the positive cases of Covid-19 that still exist in the Semarang City area. The implementation of online learning is not without problems, even in several countries, especially Indonesia, it is reported that countries that adopt online learning on average are actually much smaller than expected. The implementation of online learning makes students less understanding of the learning materials provided and students' low interest in learning during the pandemic. This study aims to create a learning application for grade VI elementary school students that contains learning materials, practice questions that are randomized using LCM and facilitate the results of the assessment of the questions. From the results of LCM randomization, each student did not get the same or twin questions. From the test of 3 students, it was found that the questions that appeared in the same order were question number 6, while the questions that appeared in a different order were questions number 2, 3, 4, 5, 7, 8, 9, 10
Pengukuran Kualitas Penggunaan Website Sistem Pakar Diagnosa Awal Mental Illness Psikosis Dengan Metode WebQual

A mental illness is a syndrome, psychological, or behavioral disorder in which a person is dysfunctional at work. The problem is that medical personnel or doctors who are professionals in the field of psychology are not comparable to mental illness, especially teenagers. The initial diagnosis by web based and using the Extreme Programming (XP) method. Meanwhile, the main objective of the research is to determine the quality of the web system based on the perceptions of respondents, namely Darul Ihsan Vocational High School students. Measuring the quality of an expert web system using the WebQual instrument. There are three aspects of WebQual that will be measured, namely: usability, information, and interaction quality. Based on the questionnaires distributed to respondents, the expert web system was developed to fulfill the three aspects of WebQual (usability, information, and interaction, with a score of 83.78%, 80%, and 82.97% in the good category.
A Method for Detecting Anomalies in an Electromagnetic Environment Situation Using a Dual-Branch Prediction Network

Electromagnetic environment situation anomaly detection is a prerequisite for electromagnetic threat level assessment, and its research is of great practical value. However, because of the complexity of the electromagnetic environment, electromagnetic environment situation anomaly detection is not efficient. Therefore, we propose a dual-branch prediction network-based electromagnetic environment situation anomaly detection method to predict the future and achieve anomaly detection by fusing different development characteristics of electromagnetic environment situations learned by other branches. We extract the electromagnetic environment situation state and trend features using the manual feature extraction module and mine the electromagnetic environment situation in-depth data distribution features using ConvLSTM, improve the dynamic time regularization model according to the physical characteristics of electromagnetic space, and then provide the anomaly detection method. We experimentally demonstrate the effectiveness of the proposed method in electromagnetic environment situation prediction and anomaly detection accuracy.