Reviewerly/exHarmony huggingface dataset:
Perancangan Sistem Informasi Simpan Pinjam Pada Koperasi Wredatama Krakatau Steel (Kopwekas)

The management of savings and loans at the Wredatama Krakatau Steel Cooperative (Kopwekas) already uses Microsoft Excel, but in savings and loan transactions there are still obstacles, such as the process of recording deposits, loans and arrears of members. This requires accuracy in the checking process and waste of processing time.With these problems, this cooperative needs to use a savings and loan application that can assist in the processing of savings and loan data.The methodology used in the design of this information system is the Waterfall Method. This system is designed using the concepts of DFD (Data Flow Diagram) and ERD (Entity Relationship Diagram) and is implemented using the Microsoft Access 2019 Database, and Visual Basic 6.0.The expected result of this research is to produce a savings and loan information system that is equipped with processing customer deposits, and customer loans. By using this information system, data processing and report generation becomes easier, faster with accurate data
Camouflaged Foreground Detection with Fusion Methods

Camouflage, also called as cryptic coloration, is a defense mechanism or tactic that organisms use to disguise their appearance, usually to blend in with their surroundings.Camouflage is used to mask their location, identity and movement.Detecting camouflaged moving foreground objects has been known to be difficult due to the similarity between the foreground objects and the background.Methods present to detect camouflage image i.e., decamouflaged techniques are i.Visual camouflaged breaking, ii.Co-occurrence matrix and invariant central moments, iii.Color and intensity based camouflaged detection, iv.Use of GLCM (gray level co-occurrence matrix) and dendrogram in camouflage detection, v. Color, edge and intensity-based background subtraction, vi.HSV (hue, saturation, value) color and GLCM texture to identify camouflaged object, vii.3D convexity-based camouflage detection method.In this paper we present a fusion framework to address this problem in wavelet domain.The proposed fusion framework is denoted by "FWFC" (fusion in the wavelet domain for foreground detection in camouflaged senses).We first show that the small differences in the image domain can be highlighted in certain wavelet bands.Then each wavelet coefficient of foreground is estimated by formulating foreground and background models for each wavelet band.The proposed fusion framework works on/from different wavelet bands based on the characteristics of the wavelet transform.In the field of military security and medical field (e.g.: drugresistant tuberculosis) this fusion framework can have many applications.This method has shown the significant performance which is better than the existing methods in terms of the camouflaged foreground detection.
The iNARTE iNformer

With the Virtual Symposium behind us, our attention is turning back towards our monthly meetings in which we'll be discussing ideas for next year's symposia (Raleigh, North Carolina and Glasgow, Scotland), a virtual career fair, and more.To ensure you're on the mailing list and receiving the regular YP communications, meeting invitations, etc. please send an email to ieeeypemc@gmail.com.
Data science

FACETS is introducing a Data Science section as a platform to facilitate the dissemination of high-quality research focused on data.Given the explosion of data, and new data types, across virtually all areas of research endeavour in recent years, this is the right time for such a platform to emerge.Furthermore, considering the inherently interdisciplinary nature of data science, FACETS is the right venue.The assembled team of Subject Editors for the Data Science section gives excellent coverage of both theoretical and applied aspects of data science.
Knowledge Based System using Ontology for Accessing Sentiments of Indian Railways Tweets

The interactions in social networks like Twitter are reflecting sentiments of people at large. Especially opinion mining has wherewithal to provide social feedback that complements traditional feedback for making strategic decisions. The sentiments data is basically stored in the Relational Data Base. But the demerits of this data base is that it comes back with an answer at most once and it is very difficult to address complex queries over the data, lagging inherent properties such as transitivity or symmetry. It also has closed world assumption i.e., what is not known to be true in the data base is by default considered as false because knowledge represented in the data base is assumed to be complete. To overcome all these demerits, we have developed knowledge-based system using ontology, for accessing sentiments of Indian Railways tweets. Indian Railways (IR) is very huge organization which consistently strives to improve its services from time to time. In our prior work, a framework was proposed and implemented using sentiment analysis for Indian railways tweets. The results were grouped into clusters based on five attributes pertaining to IR such as Cleanliness, Staff Behaviour, Punctuality, Security and Timeliness. These clusters are being updated from time to time to reflect up to date social feedback. However, the problem with the existing system is that, its accessibility and ease of use to stakeholders is not easy. So, we proposed a knowledge based system which will represent clusters for a universal and interoperable data representation that is from database to RDF schema to ontology and apply inference rules and query using SPARQL. This system is accessible to humans and also programs in heterogeneous Machine-to-Machine (M2M) environments. We proposed a methodology to achieve this and the knowledge is made available for further processing and stakeholders can access. The proposed system is evaluated with a prototype application and found to be useful and flexible.
Identifying Lecturer–Student Interaction and Preference Toward Four English Skills

Identifying lecturer–student interaction and preference toward four english skills. Objectives: The aim of this research was to find out the patterns of classroom interaction and preference toward four English skills for students of Islamic Financial Banking Department. Methods: The data collection procedures in the research were based on classroom participant observation, student interviews, and questionnaire. The language that used for student interviews was English, and sometimes combined with Indonesia language. The last instrument was questionnaire used to know the students’ preference toward four English skills. Findings: The findings of this research indicated that the classroom interaction can be created through mutual understanding and appriciating between lecturer and student, in form of the manner of lecturer’s performance in the classroom, presenting interested and motivated materials, and applying reinforcement. Conclusions: The students’ preference toward four English skills indicated that 61 (61%) students liked reading skill very much. Keywords: Lecturer-student interaction, four English skills, interview. Abstrak: Mengidentifikasi interaksi dosen-mahasiswa dan kecenderungan terhadap empat keterampilan berbahasa inggris. Tujuan: Penelitian ini bertujuan untuk menemukan pola-pola interaksi dalam kelas dan mengidentifikasi kecenderungan terhadap empat keterampilan berbahasa Inggris bagi mahasiswa jurusan Perbankan Syariah. Metode: Metode pengumpulan data dalam penelitian ini meliputi observasi, wawancara, dan angket. Wawancara menggunakan bahasa Inggris, dan dalam hal tertentu menggunakan bahasa Indonesia. Angket digunakan untuk mengetahui tingkat kecenderungan mahasiswa terhadap empat keterampilan berbahasa Inggris. Temuan: Interaksi dalam kelas dapat tercipta karena adanya saling memahami dan menghargai antara dosen dan mahasiswa, dalam hal ini dosen menampilkan performa yang layak dan meyakinkan dalam menyajikan materi ajar dan memotivasi mahasiswa, serta menerapkan metode reinforcement. Kesimpulan: Kecenderungan mahasiswa terhadap empat keterampilan berbahasa Inggris ditunjukkan dengan 61% mahasiswa cenderung menyukai keterampilan membaca. Kata kunci: Interaksi dosen-mahasiswa, empat keterampilan berbahasa inggris, wawancara. DOI: http://dx.doi.org/10.23960/jpp.v9.i2.201918
Development of Android-Based Digital Drawing Learning Media Using Online Applications

The existence of COVID-19 has caused many problems in various fields, one of which is the world of education. Students are required to study remotely so that there is a need for innovation in learning media so that learning materials can still be accepted by students. The purpose of this research is to create digital image learning media as a support for illustration courses in animation study programs where digital drawing skills are needed. The learning media is packaged in an Android-based application to make it easier for students to access because Android is currently often used by students. The method used in building this application is the waterfall method. As for the software needed to build this application, it uses Google sites technology, appsgeyser for navigation and content and Adobe Photopea for design. The result of this research is the creation of digital image learning media applications as a support for illustration courses that can be accessed easily by students. At this stage of testing this application using the black box method to test the program's functionality and also conduct a feasibility test. For the test results, all features can function properly and for the feasibility value, it gets a score of 87% or falls into the very feasible category.
Directional Analysis of 2D Cardiac Motion Slices Using the Discrete Helmholtz Hodge Decomposition

The 2D Discrete Helmholtz Hodge Decomposition (DHHD) is a candidate for decomposition of cardiac motion vector field (MVFs)from modalities such as echocardiography, allowing analyses of rotational, radial and harmonic MVFs separately and the tracking of centers of flow phenomena.However, the literature contains differing opinions about how boundary conditions (BCs) should be applied.In the proposed study, we investigate two sets of BCs, found in the literature, using synthetic motion vector fields: (i) zero BCs for all nodes along the domain boundary; (ii) a single zero BC for the first node.We found that (i) produces a decomposition with Normalised Root Mean Square Error (NRMSE) below 1%, while (ii) produces NRMSE greater than 200% when the input field contains a harmonic component.Further, we demonstrate the decomposition of a synthetic motion field from the Extended Cardiac Torso Phantom v2 into radial, rotational and harmonic components.
A Fiction on Image Retrieval in Dermatology

on this paper we proposed, a novel structure to help and mechanize the gauge of diseases from PC based totally photograph examination methodology the utilization of substance based by and large photo recovery (cbir).cbir is the device of recovering related photographs from huge database accumulations by strategy for technique for utilizing low degree photo highlights including shading, surface and shape and packs of others. we have utilized comfortable texton and discrete shearlet move up to clear surface and structure abilties. the fact of the matter is to manual medicinal fundamental authority, the pass on of a hard and fast dataset which merges pix of a tremendous kind of past pathologically-affirmed events from great assortments of diseases dealing a particular organ which might be shown to be of over the top closeness to the ones of different new obscure occasions basic leadership by techniques for the usage of recovering and showing up past occasions apparently like the handiest under test with pertinence comments utilizing help vector machines.
WEB UYGUNLUK ANALİZİ: HEPSİBURADA.COM VE N11.COM KARŞILAŞTIRILMASI

Eye tracking involves measuring where the person viewing a web page is focused on the eye or the movement of the eye.The purpose of eye tracking is to reveal where the site visitors look on the relevant site, how long they look, how long they look at the length of the page.The model of the research is a case study and the usefulness comparisons of n11.com and hepsiburada.comsites, which are exchanged online, are examined.Within the scope of the study, the necessity of trying to buy deep freezers by entering these two different sites was given to the 19 people between the ages of 25 and 45 and the application was made.After opening the web page http://www.n11.com or http://www.hepsiburada.comfrom the page encountered on the internet, first examining the home page and immediately after reaching the page with the freezers and examining the Beko Brand Deep Freezers, then Beko 7216 A + 5 Drawer freezer page with DF code has been requested to open and review the product.Afterwards, the page was requested to be closed after finishing, as if you would add the product to the basket and take it to the operations.In our study, eye tracking method was used as the analysis method.
MODUL VIRTUAL KETERAMPILAN MEMBACA BERBASIS FLIPBOOK MAKER UNTUK MAHASISWA PRODI PBSI FKIP UNTIDAR

Government policies due to the Covid-19 case have caused learning that is usually carried out face-to-face to suddenly switch to online learning. In practice, there are problems in online learning, one of which is the confusion of students in understanding the material. This study aims to develop a virtual module of flipbook maker based reading skills for students of the Indonesian Language and Literature Education Study Program, FKIP UNTIDAR. This research is a Researcrh &amp; Development (R&amp;D) research using the Borg and Gall model. The development steps in this research consist of research and data collection, product planning, and product draft development. The data analysis technique used is descriptive analysis. The results of this study indicate that the step of developing the virtual module of reading skills begins with (1) conducting field and literature studies by observing the class and reviewing relevant theories and research results. 2) Planning the product by reviewing the material contained in the syllabus of reading courses and teaching reading and compiling materials, (3) developing a draft of the module product that has been compiled and transforming it into a virtual module
The Quality of Data Center Infrastructure Management (DCIM)

Now-a-days, Data Center Infrastructure Management is increasing workplace efficiency, reducing overhead costs, and maintaining availability are some of the top priorities for data center administrators. The markets of data center have evolved not only in reply to the quantity of data, but also to increasing demands approximately connectivity up-time, security, and lesser IT costs. Information Technology is growing more rapidly than ever and new challenges appear every day. Various challenges are data storage and processing, and data centers have a critical role in this situation. As data centers get bigger and bigger, more energy is required and availability is primary. In this paper it is discussed the quality of DCIM by taking into requirements and the quality evaluation problem, here is a proposed method to analyze the quality of DCIM for energy costs, availability and new systems of data center infrastructure management (DCIM). With the proposed method of evolution will definitely resolve the problems of Data Centers so that the throughput of data centre will increase efficiently.
Accept and Scale Traditional News Elements By Utilizing Public Network Elements

Media orgins, specifically the news elements, have traditionally informed us incidents of daily life. In recent times, public network services such as Twitter provide an huge amount of numerous smaller collections generated from different user data. In this work, a new technique is proposed to filter noise and to obtain the data which are similar in news content which is considered to be valuable. It has a bottom-up approach to news recognition, and without of the help of an predefined origins of firm or topics. Rather, determines growing talks and messages daily to choose that are news-like. We introduce a hierarchical Bayesian model that jointly models the news media services and social media services and we show that our proposed model can capture different topics for individual datasets. In The proposed system the process is to change these instances into a regular model of characteristics and classes, System denote a oversee method based on a graphical paradigm to identify webbing poll show that the supervised method substantially improvize existing method. lastly the persons interactions while all the interests of the person in social media are considered hence the proposed work identifies and ranks news topic. In this paper we reveal our main domain, model and estimations are used to attain the goal, and instructions learnt parallely.
Steganographical Techniques in Hiding Text Images – System

In this era, internet has become a widespread entity all over the world. Sharing and communicating images, video contributes an essential role in this scientific era. In the meanwhile, secure transition of data has indeed become a major issue. Steganography is one of technology that contributes a vital role in protecting the secret data against an unauthorized access. In this type, secret data can be concealed into a cover file that includes audio, video, text and also image. In this paper, we propose different types of steganography methods for secure transfer of data in a confidential manner. The paper also explores stenographical techniques in terms of text, image and audio. The proposed work compares and discusses the stenographical methods in spatial domain, frequency domain derived under the image technique.
WEATHER AND TRAFFIC MONITORING SYSTEM IoT-Based TOWARDS JAMBI SMART CITY

With the large number of vehicles on the road today, we often get stuck in a traffic jam on our way to a place. And the temperature or the weather that often changes sometimes also causes us to get stuck in a weather. Thus both these problems was made a journal WEATHER AND TRAFFIC MONITORING SYSTEM IoT-BASED TOWARDS JAMBI SMART CITY. This research uses descriptive research method. This method uses action techniques that focus on implementing actions with the aim of improving quality or solving problems in a group of objects and observing the success rate or impact of their actions.
Robust Copy-Paste Detection Algorithm using SIFT for Digital Image Forensics

Forensics of images verifies the authenticity of digital images. Because of the easier availability of software, manipulation of images has become quicker and easier. Image composition, copy-paste, multiple cloning, splicing, etc have become a common practice. The paper proposes a robust algorithm for the detection of duplicity using Scale Invariant Feature Transform (SIFT) approach. Copied location of an image is occasionally pasted in another place of the identical image or in another image, which creates difficulties in detecting the copy-paste region and identifying the located region as well as creates inefficiency in the accuracy of forgeries. We developed an approach that shows improved techniques through runtime optimizations and compared various parameters with existing methodologies in order to obtain highly correlated image areas for detecting the manipulated regions. The proposed approach can detect copy-paste forgeries effectively with high accuracy, reliability, and inconsistencies regardless of the test scenario.
Modern art history as a human science in a situation of cultural turn

Intensive development of knowledge in the 20th century, including the emergence of new sciences and humanities, constantly creates a problematic situation in the sphere of art, shifting arts designation to what in the philosophy of science is known as normal science. This is associated with the idea of art as a science that has reached a stage of maturity and consistency and, therefore, complies with its norms. The concept of art as normal science is characterized by a certain degree of conservatism, as it presupposes arts self-protection against deviations from the established methodology.&#x0D; However, sometimes the artistic processes of modernity require different approaches. In addition, the emergence of new humanities shifts the already established methodology of art. This happened in the first decades of the 20th century, in the era of a linguistic turn in the humanities, indicating the invasion of natural sciences in the humanities; and this is happening today, at the turn of the 21st century, in a situation of a cultural turn, the emergence and intensive development of the science of culture. The current turn requires a deeper understanding of the structure and components of art history, i.e., its sub-disciplines: art history, art theory and art criticism.&#x0D; The essay argues that in the situation of cultural turn the theory of art can carry out functions which the other two sub-disciplines cannot. It propounds that art theory is able to make a decisive contribution to the elucidation of two problems: the relationship between art and cultural studies and the problem of historical time, which is important both for contemporary art and for art history.
Comments on the submitted paper Using seismic attributes in seismoctectonic research.

The paper transfers a long lived but also a now very sophisticated methodology of image processing/seismic attributes, developed within the O&G exploration domain, into the regional and fault interpretation using 2D seismic lines for seismic tectonic purposes.The aims of seismic attributes in this context is to unravel and enhance deep reflectors but also high angle features and then reframe those interpretative results to fine tune the discussion Norcia Mw earthquake.I am, in fact , rather surprised it took C1 SED
Difference of Watermarking &amp; Steganography

In the current world, the sensitive data are being transferred from source to destination in a much secured way in a common internet is inexorable. There are various technological aspects involved among the data world to protect the sensitive information or data hiding. Watermarking and Steganography are such important techniques which plays a prominent role in such data hiding. Earlier various techniques are been widely used like finger printing, Cryptography for encryption and decryption etc. But in the recent days the Digital Watermarking and Steganography are two range of techniques in such information hiding in a covered or secret way embedding to any host data which can be extracted with proper algorithms after the receiver receives the information. The combination of all these techniques can also bring a change in the internet industry. The information can be concealed and send across in a platform to the receiver with all these hidden techniques whereas the receiver of the data also need to know on the extraction techniques so that the information is been securely sent and received in a two-way communication. This paper deals about the comparing the common factors or attributes among the Watermarking and Steganography techniques.