Reviewerly/exHarmony huggingface dataset:
Printer Forensics Based on Identity Vectors of Image Texture Segmentation

Advances in the digital world are leading us to the development of digital forensic tools. The use of machine learning methods for source printer identification is one of the sub-fields of this area that is being developed. In this paper, a new method for extracting secondary features based on identity vector or i-vector to identify the print source is presented. In the proposed method, the classification process is accelerated only by extracting a low-dimension i-vector vector per page, without the use of optical character recognition (OCR) method, and by eliminating majority voting. Furthermore, the proposed method in extracting features is independent of the type and size of the font and the language of the text. Secondary features are obtained by splitting the document image into smaller patches and modeling the primary LBP features of the dark, border, and light areas in separate spaces. Modeling the primary features of different regions in separate total variability printer space makes it possible to extract class discriminator information from the remaining print texture in the bright area to increase classification accuracy. In this paper, the effect of using the texture of different regions and changing the patch dimensions using the SVM (Support Vector Machine) classifier through simulation has been carefully investigated. The simulation results show that only by refining the basic features of LBP we achieved 99.05% accuracy, which is more than the latest research in this field.
A Web Simulation Training System for Earthquake Intensity Assessment and Disaster Damage Evaluation

A quick, accurate and comprehensive grasp of the damages of the disaster-stricken area after the earthquakes and a timely release of earthquake intensity maps are of great value for planning of emergency rescue initiatives, post-disaster reconstruction, earthquake prevention and disaster relief. To make the earthquake intensity assessment, disaster damage investigation and evaluation more timely, scientific and accurate, this study proposed a simulation training system for earthquake intensity assessment and disaster damage evaluation. Through computer technologies, Web technique, and database technologies, the actual earthquake disaster scenarios were simulated for earthquake rescue workers so that they could perform earthquake intensity assessment and disaster damage investigations through the Internet in a virtual manner. The proposed system would not only provide a set of new training modes for rescue workers, but also improve the emergency training, and enhance the overall quality of the disaster evaluation team. It could increase the fidelity of training and raise the tensity for training, test the rationality of the content and procedures of disaster evaluation, effectively assess the details of disaster evaluation, which could help the rescue team better fulfill on-site earthquake evaluation and disaster damage evaluation in the future.
PEMILIHAN SKRIPSI MAHASISWA TERBAIK MENGGUNAKAN METODE COMPOSITE PERFORMANCE INDEX (CPI)

Thesis is a scientific work written by undergraduate students that discusses a particular topic or field based on the results of a literature review written by experts, the results of field research, or the results of development (experiments). The problem in this research is that the process of selecting the best thesis is still subjective without regard to other criteria and is also done manually which makes the selection process less efficient. The purpose of this research is to create a system for selecting the best student thesis. The method used in this research is the Composite Performance Index (CPI). Methods of data collection techniques by means of observation, interviews, documentation. The results of this study are the Composite Performance Index (CPI) method can be used for selecting the best student thesis and the results obtained for the first rank are A1 with a value of 218.75, the second rank is A2 with a value of 198.75 and the third rank is A4 with a value of 178.75.
Online Collecting Method of Real-time Situation Information of NEV Operation

In order to solve the problem of low efficiency of online acquisition based on smoothed window and integral graph, a real-time online acquisition method for NEV operation situation information is proposed. Using machine vision technology to identify the road and obstacles, eliminate interference information, determine the road nearest point. According to the principle of acquisition based on machine vision, the instruction of the internal acquisition module is given. Through remote online calibration, data acquisition sequence is controlled, remote program is upgraded, and the information can reach the instruction position quickly. A feedback loop is designed to control acquisition error by error feedback coefficient. The expérimentai resufts show that the maximum acquisition efficiency of this method is 80%, which has good acquisition effect.
Long Paths Make Pattern-Counting Hard, and Deep Trees Make It Harder.

We study the counting problem known as #PPM, whose input is a pair of permutations $\pi$ and $\tau$ (called pattern and text, respectively), and the task is to find the number of subsequences of $\tau$ that have the same relative order as $\pi$. A simple brute-force approach solves #PPM for a pattern of length $k$ and a text of length $n$ in time $O(n^{k+1})$, while Berendsohn, Kozma and Marx have recently shown that under the exponential time hypothesis (ETH), it cannot be solved in time $f(k) n^{o(k/\log k)}$ for any function $f$. In this paper, we consider the restriction of #PPM, known as $\mathcal{C}$-Pattern #PPM, where the pattern $\pi$ must belong to a hereditary permutation class $\mathcal{C}$. Our goal is to identify the structural properties of $\mathcal{C}$ that determine the complexity of $\mathcal{C}$-Pattern #PPM. We focus on two such structural properties, known as the long path property (LPP) and the deep tree property (DTP). Assuming ETH, we obtain these results: 1. If $C$ has the LPP, then $\mathcal{C}$-Pattern #PPM cannot be solved in time $f(k)n^{o(\sqrt{k})}$ for any function $f$, and 2. if $C$ has the DTP, then $\mathcal{C}$-Pattern #PPM cannot be solved in time $f(k)n^{o(k/\log^2 k)}$ for any function $f$. Furthermore, when $\mathcal{C}$ is one of the so-called monotone grid classes, we show that if $\mathcal{C}$ has the LPP but not the DTP, then $\mathcal{C}$-Pattern #PPM can be solved in time $f(k)n^{O(\sqrt k)}$. In particular, the lower bounds above are tight up to the polylog terms in the exponents.
Implementasi Google Cloud Storage Integrasi Dengan Firebase Untuk Aplikasi Facecare (Identifikasi Jerawat) Berbasis Android

The development of computer technology is currently starting to an easier and more efficient system utilization, namely Cloud Computing. There are many solutions offered, one of them is a storage solution. This project using one of the cloud services namely Google Cloud Platform (GCP) with Google Cloud Storage (GCS) service which is object-based storage. Using Firebase as a Backend which is automatically integrated with GCP. The FaceCare application aims to identify acne problem on the face. This application has features including health articles, acne identification, solutions offered in the form of skincare and herbal products. Based on these features, the storage design is divided into three parts, namely articles, herbal solutions and product solutions, while the user's personal data will not be stored for security. From the results of the FaceCare application, the total amount of data stored is 488 objects with details of 43 application data objects and 445 additional metadata objects for the dataset, the total data size is 41.7 Mb with a composition of 2.1 Mb application data and 39.6 Mb metadata dataset. The amount of storage is relatively small because the application is in the form of a prototype and still in the development stage. Keywords: Google Cloud Platform, Firebase, Google Cloud Storage, Object Storage, FaceCare Application.
Comparing Levenshtein distance and dynamic time warping in predicting listeners’ judgements of accent distance

Non-native accent ratings are related to segmental and holistic acoustic deviations from listeners’ home accents (Bartelds et al., 2020). This study builds on prior work by including both non-ambient native and nonnative accents, using a different perceptual task in which listeners ranked talkers based on their perceived distance from Standard American English, and employing analyses that account for collinearity between distance metrics. Listeners (n = 52) completed two rankings where all talkers produced the same sentence and one where each talker produced a unique sentence. Phonemic and holistic acoustic distances between the nine non-ambient accents and Midland American English were quantified using Levenshtein distances and dynamic time warping (DTW), respectively. Results from separate linear mixed effects models showed that both DTW and Levenshtein distances contributed to perceptual distance. Sentence and its interaction with DTW/Levenshtein distance were not significant. The model predicting perceptual rankings from DTW was a better fitting model than the model with Levenshtein distances. Because DTW captures both segmental and suprasegmental distance, it may better predict listeners’ similarity judgements among English varieties than a metric only capturing phonemic distance. [Funded by the National Science Foundation (1941691; 1941662) and The Ohio State University Center for Cognitive and Brain Sciences.]
The Development of Pop Up Book Media with The Character of Art Figure Besutan Jombang

One of the use of learning media is to deliver the material from teacher to students. There are many types of learning media that can be applied to learning activities, especially at the primary school. In the era of technology, there are many new habits in life especially for primary school. Therefore, it is necessary to strengthen the material for primary school students about the value of goodness contained in regional arts. This research is included in research and development which will later obtain the results of a teaching material in the form of a Pop up book learning media by using Jombang's art figures. In addition to obtain a learning media, this research also aims to determine the process, implementation, and quality of the media. The research process was carried out in accordance with the steps in the 4-D model from Thiagarjan which had been modified by researchers without dissemination stage. In the development process, the researcher obtained 94.35% from material and media experts. While at the implementation stage, the researcher obtained 85.89% from the average score given by media users. Then 87.01% for the quality score which is the average of the process and implementation stages which indicates that the media developed by researchers is included in the category of very valid and feasible to be used without the need for improvement.
Directive Speech Act and Types of Teacher Talk In English Class at SMK Muhammadiyah Belitung Timur

This study aims to describe the directive speech act used by the teachers’ and students and the types of teacher talk in English class. This study was designed using a descriptive qualitative method. The participants of this study were tenth-grade students and an English teacher at SMK Muhammadiyah Belitung Timur. The data were the directive speech acts utterances used by the teacher and students which were collected through observation, documentation, audio recording, and taking notes. The result of this study showed that the directive speech act is mostly used by the teacher in the teaching-learning process were 42 command types, 18 request types, 20 suggestion types, and 15 warning types. This study also showed that the teacher talk type categories in the teacher’s directive speech act were ordering, questioning, asking, advising, and inviting
Type Checking Extracted Methods

Many object-oriented dynamic languages allow programmers to _extract methods_ from objects and treat them as functions. This allows for flexible programming patterns, but presents challenges for type systems. In particular, a simple treatment of method extraction would require methods to be contravariant in the receiver type, making overriding all-but-impossible. We present a detailed investigation of this problem, as well as an implemented and evaluated solution. Method extraction is a feature of many dynamically-typed and gradually-typed languages, ranging from Python and PHP to Flow and TypeScript. In these languages, the underlying representation of objects as records of procedures can be accessed, and the procedures that implement methods can be reified as functions that can be called independently. In many of these languages, the programmer can then explicitly specify the `this` value to be used when the method implementation is called. Unfortunately, as we show, existing gradual type systems such as TypeScript and Flow are unsound in the presence of method extraction. The problem for typing any such system is that the flexibility it allows must be tamed by requiring a connection between the object the method was extracted from, and the function value that is later called. In Racket, where a method extraction-like facility, dubbed "structure type properties", is fundamental to classes, generic methods, and other APIs, these same challenges arise, and must be solved to support this feature in Typed Racket. We show how to combine two existing type system features -- existential types and occurrence typing -- to produce a sound approach to typing method extraction. We formalize our design, extending an existing formal model of the Typed Racket type system, and prove that our extension is sound. Our design is also implemented in the released version of Racket, and is compatible with all existing Typed Racket packages, many of which already used a previous version of this feature.
A New Methodology to Process the Total Solar Irradiance observations Using Machine Learning and Data Fusion

Earth and Space Science Open Archive posterOpen AccessYou are viewing the latest version by default [v1]A New Methodology to Process the Total Solar Irradiance observations Using Machine Learning and Data FusionAuthorsJean-PhilippeMontilletiDWolfgangFinsterleWernerSchmutziDSee all authors Jean-Philippe MontilletiDCorresponding Author• Submitting AuthorPMOD WRC Physical Meteorological Observatory Davos and World Radiation CenteriDhttps://orcid.org/0000-0001-7439-7862view email addressThe email was not providedcopy email addressWolfgang FinsterlePMOD WRC Physical Meteorological Observatory Davos and World Radiation Centerview email addressThe email was not providedcopy email addressWerner SchmutziDPMOD WRC Physical Meteorological Observatory Davos and World Radiation CenteriDhttps://orcid.org/0000-0003-1159-5639view email addressThe email was not providedcopy email address
LibGuides: JSTOR for climate change research: Open Access Journals

This guide highlights JSTOR's open access content related to climate change, and the tools available to enhance your research.
Pi is Less Than Twice Phi

SummaryWe use integral calculus to establish the inequality that π is less than 2ϕ.
Projection-Based Installation for Immersive Experience in Gallery Space

Modern art and the rapid evolution of technology in software and hardware have enabled designers and artists expanding their arts to new dimensions and perspectives. The developing of digital technology become significant in art practice, which creates innovative possibilities of its' ability for endless artistic expression and for artists to create a new experiential aesthetic. As audience interest and demand for modern art are rising, some artists have started to explore the experiential and expressive potential of technology applications in the arts such as projection mapping. Projection mapping, also known as video mapping, is the art of using projection technology to map digital contents onto any physical object or non-flat surface. The idea is to create illusions of images and turn almost any surface into a dynamic video screen - bringing any physical objects to life through digital images. The mixing of both digital content with physical objects within the real space enables the audience to be immersed with the artwork. Through this research project, a projection-based audiovisual installation was designed and developed to examine the projection mapping software and hardware to seek its potential in creating an immersive experience in a gallery space setting — the project aimed to explore the experiential and aesthetic possibilities that are engaging to the visitors.
Technology Based Uop Green Bond Reshaping The Issuance

The Green Bonds acts as the prime financial instrument designed for the stakeholders to fund the environmental projects and globally uplift the ecological system. This paper invigorates the various stages involved in the traditional complex life cycle highlighting the challenges encountered in the Use of Proceed Green Bonds (UoP) process. The advent of Blockchain technology of distributive ledger technology is the fundamental pillar of Industrial 4.0. Blockchain technology has revolutionized information exchange, data archiving and provides numerous advantages including building credibility and transparency. The paper proposes for decision making a conceptual schema designed on Design Science Research Methodology (DSRM) by adopting Blockchain technology with the product Smart Contract Transaction, Tokenization, and Blockchain Distributive Ledger Technology (DLT) leading to standardized, digitalized, and automated data exchange process transforming the life cycle of UoP. Hence, to evaluate the proposed conceptual schema, the Framework for Evaluation in Design Science (FEDS) is adopted to seek the viability of the formulated artifact.
The Factors Affecting the Quality of Teaching on the Internet Background

With the development of Internet, mobile Internet, artificial intelligence, and other information technology, “Internet + education” is profoundly affecting the reform and connotation of higher education, information-based teaching is bound to become the general direction of China’s teaching reform. Universities are important bases for training talents, and the key to improving the quality of education is to improve the quality of teaching. The rapid development of modern information technology has had a profound impact on the curriculum reform of universities. In this paper, in order to further improve the quality of mixed online teaching mode as the goal, to select part of the teachers and students in colleges and universities as the research object, the key links in implementing mixture with online teaching mode in-depth research and analysis on the teaching pattern of the popularity and identity, found that the factors influencing the quality of online teaching, puts forward the effective method to improve the teaching quality of online mixing. At the same time, the research data were analyzed and summarized, and the main problems and Suggestions were put forward, hoping to play a positive role in promoting the reform of online education and teaching under the background of the Internet.
Blueprint : Go rider (smart apps) / Cik Muhamad Zafri Che Sabudin,

Go Rider Ltd is a new company providing transportation services through our company application. The services can be directly provided by our company, or it can be anyone who own a motorcycle and leveraging their motorcycle to provide the transport services to the customer. The decision to choose this type of service has gone through many difficulties and obstacles. After a long research and discussion among ourselves, we finally decided and agreed to proceed to do a blueprint project on product focusing mainly on Go Rider apps. The reason we choose Go Rider apps as a main product is because traffic congestion always been a problem to people in urban area during a peak hour. Therefore, we take this as opportunity to solve their problem in getting late to the office, work, or anywhere to their destination. We do our best to provide an efficient, affordable and friendly user app to serve our customer. The wide usage of smartphones among the community has made the process of distributing the apps existence easier and gone viral fasters than news.
Perhitungan Beban Pencemaran Air Kali Jagir Kota Surabaya Provinsi Jawa Timur

Kali Jagir is located in Wonokromo District with a total population of 146,785 inhabitants. 24% of land use in the Wonokromo area is a residential area that disposes of domestic waste such as garbage, laundry waste, and other waste into the Surabaya River stream either directly or indirectly. Disposal of domestic waste from residential areas around the Jagir River results in a decrease in water quality, as well as a decrease in the function of the river, and an increase in the pollutant load that will be received by the river. The method used is descriptive quantitative research method. The water sampling point was determined using the purposive sampling method. The data used is primary data from researchers who have conducted quality analysis at three points of Kali Jagir in 2021. Based on the results, the pollution load value of Kali Jagir Surabaya has exceeded the maximum pollution load capacity that can be accepted by water bodies. Total pollution load in Kali Jagir Surabaya based on TSS parameter is 12,360,924.86 kg/day, BOD parameter is 259,169.08 kg/day, and COD parameter is 6,455,103.32 kg/day.
Development and Application of Process Monitoring Equipment for Pole-Holding and Tower Assembly Based on Big Data Technology

Big data technology plays a very important role in the monitoring process of pole-mounted towers. Based on big data technology, this article discusses the impact of big data on pole-holding towers and the development and application of pole-holding tower monitoring equipment, expounds the key technologies of big data in process monitoring, and real-time monitoring of the operating status of process equipment. It will analyze and process according to different types of test results. The final test results show that, compared with the traditional MSPCA technology, the improved MSPCA has significantly improved the missed detection rate and detection delay of monitoring equipment, achieved the expected effect, and met the requirements of project construction.
Research on the Integration of Teaching, Scientific Research and Practice for Professional Degree Master Graduate Students

With the rapid development of my country’s social economy, my country has made achievements in many industries that have attracted the attention of the world. Combining with the actual development needs of society, at this stage, my country’s requirements for senior talents have also changed from traditional research talents to compound research talents with certain professional capabilities. Therefore, my country should also make some changes and breakthroughs in the teaching mode of higher education.