Reviewerly/exHarmony huggingface dataset:
Bootstrap based T2 chart with hybrid James Stein and SDCM for network anomaly detection

The conventional multivariate chart based on Shewhart approach will face a problem when it is utilized in monitoring the multiple outliers. To overcome the situation, the James-Stein estimator and Successive Difference Covariance Matrix can be adopted to improve the estimated mean vector and covariance matrix, respectively. Attacks in the network have a similar nature as the multiple outliers. Therefore, by improving its estimated mean vector and covariance matrix, the multivariate Hotelling's T2 chart can be exploited for detecting network attacks as an intrusion detection system. In this paper, the performance of the Hotelling's T2 is updated using the James-Stein estimator and Successive Difference Covariance Matrix estimators in monitoring network anomalies. The bootstrap resampling method is applied in estimating the control limit of the proposed IDS. Further, the reputable NSL-KDD dataset is used as a standard in assessing the proposed chart performance. The proposed IDS demonstrates a good performance for the training dataset with hit rate detection of 0.9175. Meanwhile, for the testing dataset, the proposed method excels the other charts with hit rate detection of 0.8557.
PELATIHAN BERBASIS TEKNOLOGI INFORMASI UNTUK MEMBANGUN APLIKASI MOBIL

SMK N 6 Pekanbaru is one of the vocational schools located in remote areas of Pekanbaru City. In this school there is a Software Engineering (RPL) major that has XII grade students, more than 30 people. The service carried out at this school aims to equip students with technical knowledge of building mobile based application programs. The theme of this service does not overlap with the learning material they get at school. The number of participants is limited to 19 people. The location of the service was carried out at the computer laboratory of SMK N 6 Pekanbaru. The executor of this community service consists of 4 lecturers from STMIK Amik Riau who are accompanied by 2 senior students. The duration of implementation is 2 days. After the implementation of the community service activities, students are expected to have an understanding of the technical aspects of building mobile applications to be able to make applications simply.
Standardisasi Resume Medis Dalam Pelaksanaan PMK 21/ 2020 Terkait Pertukaran Data Dalam Rekam Medis Elektronik

The issuance of Regulation of the Minister of Health number 21 of 2020 concerning the Strategic Plan of the Ministry of Health year 2020-2024 encourages the need for appropriate implementation measures. One of the things that was proclaimed to be realized in 2024 is the application of integrated electronic medical records (RME) reached 100%. This is intended to be able to support the exchange of medical resume data between hospitals (health information exchange / HIE). To implement this HIE requires standardization and regulation that regulates it. This research is qualitative, using a sosiolegal approach that focuses on the depth of material related to documenting standards in medical resumes enriched with literature studies. Regulations related to medical resumes / discharge summaries that exist at this time have not set about language standards, abbreviations, symbols, and units for documenting in medical resumes. The existing regulations also have not explained the dictionary related matters ...
Tibetan Comment Text Sentiment Recognition Algorithm Based on Syllables

Text sentiment recognition is to analyze and process the text with sentimental color, and then divide the text into different sentiment categories. This paper uses Tibetan syllables as the basic features of the text. The first is to obtain the contextual global sequence features of Tibetan comment texts through the bidirectional recurrent neural network model. Then through the Self-Attention mechanism, further obtain the relationship features between the Tibetan syllable feature units in the sequence. Finally, convolutional neural network models with different convolution kernels are used to obtain fine grained partial features of the text. After completing the text representation, input it to the fully connected layer for sentiment recognition. This paper improves the performance of text sentiment recognition by obtaining richer and comprehensive semantic features in Tibetan comment texts. On the Tibetan-Chinese bilingual comment corpus, a variety of deep learning models are compared. The model proposed in this paper effectively improves the accuracy of text sentiment recognition.
Csevegőrobotok. Az ITSy-Bitsy modell: Chatbots. The ITSy-Bitsy chatbot model

The utilization of chatbots has a significant increase in the software industry in the recent years. They are used sometimes in the field of software support, but sometimes they are also used as a new user interface paradigm. Industry chatbots are usually built using the neural-network/deep learning technology. In the present article however, we write about a rule based solution, that follows the steps of the usual natural language processing pipeline: morphology, syntax, semantics… The model is developed for the English language, and its knowledge base is filled with some example data of A.A.Milne’s Winnie-the-Pooh. It can therefore evaluate and answer some questions related to that worldlet. KivonatCsevegőrobotok az elmult evekben robbanasszerűen terjedtek el az ipari szoftverekben, akar az uzemeltetes/hibabejelentes teruleten, akar egy ujszerű kezelői felulet elemekent. Az ipari csevegőrobotok altalaban neuralis halos/melytanulasos technologiaval keszulnek. A jelen cikkben megis egy szabalyalapon keszult csevegőrobot modellről szamolunk be, amely hiven koveti a termeszetes nyelvek feldolgozasanak szoalakelemzes-nyelvtani elemzes-tartalmi elemzes menetrendjet. A modell jelenleg angol nyelven műkodik, es a Micimacko vilaga van reszben beprogramozva, vagyis erre vonatkozo kerdeseket tud kiertekelni es megvalaszolni.
Penerapan Metode Least Square Untuk Prediksi Jumlah Pendaftar Dalam Penerimaan Mahasiswa Baru STMIK Sumedang

The number of applicants who enter each department at STMIK Sumedang from year to year has increased and decreased. Seeing the great potential that can be extracted and obtained from this student data, the authors are interested in looking for stored patterns. from data to gain knowledge and learning. Namely to predict (forecast) the number of applicants in the following year. To solve this problem, a method is used, namely the least square method (Small Square Method). Which method is very suitable for predicting large variables over a long period of time. The number of applicants who enter each department is entered based on time series, namely Informatics Engineering, Information Systems, and Information Management. Existing data can be said to be five times, which consists of five years of data on new student admissions. To calculate the error rate, the mean absolute deviation (MAD), mean square error (MSE), and mean absolute percentage error (MAPE) are used. With the prediction results obtained for 2020, 225 people are for Informatics Engineering, Information Systems for 82 people, and Information Management for 11.2 people. The results of measuring the suitability of this method are Informatics Engineering as much as 0.79%, Information Systems as much as 0.8%, and Information Management as much as 3.4%. The results of this study prove that to predict the number of registrants for new student admissions, STMIK Sumedang can use the least square method (Small Square Method).
The Effects of Multi-Media Communication to The Life of People in The Era Of 4.0

In order to keep pace with the 4.0 era of changing capital and constant mobilization,thedevelopment of multimedia is also indispensable in the context of the 4.0 era.If in the 90s of theprevious decade, multimedia media were only black-and-white advertising brochures, televisionshows with simple content and bad quality but the development of the digital age has contributedsignificantly to the development of multimedia. Since then, multimedia has a significant impacton all essential aspects of human life. This article helps us to understand thoroughly its effects onthe cultural, economic, educational and a lot of other aspects. Thereby, that helps the readersunderstand the essentials of multimedia communication, then apply it appropriately in real life toachieve the highest efficiency in work and study. In addition, the article also highlights thepositive and negative aspects of the media and the current media forms to help the readers toproperly understand the advantages and disadvantages of it so that they can choose and use themedia more properly.
Vizuális kameravezérlés da Vinci sebészeti robotrendszerre: Visual servoing for da Vinci surgical system

The da Vinci surgical system is mainly used for laparoscopic surgeries, in which the surgeon has to navigate and intervene based on endoscopic camera images. For safety, it is vital that the surgical tools are always in the field-of-view of the camera. An autonomous capability of a da Vinci type surgical robot to optimize the camera holding arm’s position can reduce the risk of medical malfunction. In this paper, we propose a possible method based on visual servoing for a telerobotic surgical system for automated camera positioning.KivonatA da Vinci sebeszeti robotrendszert elsősorban laparoszkopos műtetekre hasznaljak, mely soran kamerakep alapjan tajekozodik a sebesz a hasuregen belul. A biztonsagos beavatkozashoz elengedhetetlen, hogy az orvosi eszkozok a kamera latotereben legyenek. Az orvosi műhiba kockazatat csokkenteni lehet autonom iranyitas segitsegevel. Ebben a cikkben bemutatasra kerul egy lehetseges nyilt forraskod alapu megoldas automatizalt kameravezerlesre teleoperaacios rendszerekre.
Spectrally encoded machine vision using trainable materials

Using deep learning-based training of diffractive layers we designed single-pixel machine vision systems to all-optically classify images by maximizing the output power of the wavelength corresponding to the correct data-class. We experimentally validated our diffractive designs using a plasmonic nanoantenna-based time-domain spectroscopy setup and 3D-printed diffractive layers to successfully classify the images of handwritten-digits using a single-pixel and snap-shot illumination. Furthermore, we trained a shallow electronic neural network as a decoder to reconstruct the images of the input objects, solely from the power detected at ten distinct wavelengths, also demonstrating the success of this platform as a task-specific, single-pixel imager.
A Knowledge Sharing Method to Equalise the Interpersonal Service Quality

Interpersonal services play substantial roles in the social communities with its service ranging from the provision of health care, financial service, accommodation, and entertainment. In these areas, the quality of service delivery depends on service providers' knowledge comprised of information and skills acquired through experiences or educations. To maintain, equalise, and improve the quality of interpersonal service, knowledge sharing and mutual learning among providers are essential. However, several valuable knowledge is embedded in the service providers' minds through experience that neither captured nor documented. Managing this tacit knowledge is a pivotal part of knowledge sharing to equalise the service providers' knowledge. This research aims to support knowledge sharing among providers in interpersonal services by proposing a knowledge sharing method comprising two steps. The first step observes the interaction among service providers in an interpersonal service. The accumulated provider's knowledge during service provision is then visualised through a knowledge sharing framework. A case study in a nursing service case using an animal treatment robot presents an application of the proposed method. In this case study, the proposed method supports knowledge sharing among the service providers by schematising their knowledge. The application of this method facilitates the equalisation of the service quality among service providers in the interpersonal services.
Virtual Exposure Control for Creative Image and Video Editing

Post­processing has become a major component in movie and image production. This step is no longer a simple cleanup and cutting step, but it involves important manipulations that contribute to the atmosphere of a movie and the perception of a still image. Several movie studios spend a great part of their budget on it, as managing the post­processing parameters is a cumbersome task, requiring costly and specialized tools and skills. For photography, while several software packages provide automatic adjustments and filters, the fine grained editing is difficult to achieve for novice users. The reason for post­processing is that many parameters are difficult to set correctly during the actual capture of the scene. An example is exposure time. Imagine you are in a car race and want to register that moment. To convey a sense of motion in your photograph, you adjust the camera exposure time: not too short to freeze all cars, nor too long to blur the image completely. To find the threshold, other camera parameters such as aperture and sensor sensitivity must be taken into account. Even the speed of the cars needs to be considered. A much more suitable solution would be to adjust the motion blur after the acquisition. Nevertheless, this is not a simple task. Typically, it requires skill and involves manipulating the image by hand, which is time consuming and highly prone to artifacts. For videos, such edits are even more complex as the spatio­temporal coherence must be observed, especially when temporal warping occurs. In this dissertation, we present efficient solutions for exposure control in post­production to enable high­ quality visual content generation. Next to image­manipulation algorithms, we explore acquisition ­based solutions and intuitive interaction metaphors to support expressive content production. Our outcome is not only intended for professionals to reach their design visions regarding atmosphere and storytelling, but also includes semi­automatic approaches to enable novice users to achieve impactful and realistic images. Consequently, the presented results have the potential of inspiring new artists, while the methods described can also be employed to simplify complex visual content creation tasks.
Status Quo in Requirements Engineering: A Theory and a Global Family of Surveys.

Requirements Engineering (RE) has established itself as a software engineering discipline over the past decades. While researchers have been investigating the RE discipline with a plethora of empirical studies, attempts to systematically derive an empirical theory in context of the RE discipline have just recently been started. However, such a theory is needed if we are to define and motivate guidance in performing high quality RE research and practice. We aim at providing an empirical and externally valid foundation for a theory of RE practice, which helps software engineers establish effective and efficient RE processes in a problem-driven manner. We designed a survey instrument and an engineer-focused theory that was first piloted in Germany and, after making substantial modifications, has now been replicated in 10 countries worldwide. We have a theory in the form of a set of propositions inferred from our experiences and available studies, as well as the results from our pilot study in Germany. We evaluate the propositions with bootstrapped confidence intervals and derive potential explanations for the propositions. In this article, we report on the design of the family of surveys, its underlying theory, and the full results obtained from the replication studies conducted in 10 countries with participants from 228 organisations. Our results represent a substantial step forward towards developing an empirical theory of RE practice. The results reveal, for example, that there are no strong differences between organisations in different countries and regions, that interviews, facilitated meetings and prototyping are the most used elicitation techniques, that requirements are often documented textually, that traces between requirements and code or design documents are common, that requirements specifications themselves are rarely changed and that requirements engineering (process) improvement endeavours are mostly internally driven. Our study establishes a theory that can be used as starting point for many further studies for more detailed investigations. Practitioners can use the results as theory-supported guidance on selecting suitable RE methods and techniques.
Model Evaluasi Kinerja Pustakawan Sebagai Dasar Pengembangan Profesionalisme Pustakawan di PTKIN

The research aims to (1) Evaluate librarians' competencies, especially within PTKIN. (2) Formulate a librarian competency development program at PTKIN. Research is evaluation research. The research used kuisioner as  instrument to  measure self-evaluating librarian competencies. Based on the literature review, librarian self-evaluation indicators are self-concept, work motivation and librarian performance. Self-concept is measured through 17 questions, work motivation is measured through 7 questions and librarian's performance is measured through 47 questions. The Research  is done at Sunan Ampel Surabaya UIN, Malang Sunan Malik Ibrahim UIN, Kediri IAIN, Tulungagung IAIN and Ponorogo IAIN. The results of the librarian's self-evaluation showed that the librarians with very positive self-concept were 41% and the positive self-concept was 59%. Librarians who have very high motivation are 41%, high motivation is 41%, low motivation is 15% and motivation is very low 2%. Librarians who have low performance are 2.2%, moderate performers are 32.6%, high performers are 37%, and very high performers are 28.3%. The performance of librarians who are still weak is information technology literacy, conducting library research and writing scientific papers and publishing them in scientific journals / forums.
Automated Shades with Remote Control and Day-light sensor

Window shades are a commonly operated manually by pulling on a rope that winds up the shade. We intend to change this and make motorized window shades that can automatically close when there is sunlight. By using easily available parts and simplified designs to aid its production speed and make it possible to completely make the system by yourself. The controls are kept to a minimum so that it is user friendly and allow the operations to be comfortable for people with limited movement.
Ultrafast Cellular Automata Dynamics of Phase-change Optical Response

We introduce a cellular automata methodology for studying photonics of light-induced phase transitions. Multiphysical complexity over disparate length/timescales is reduced to a simple, heuristic rule/parameter set in a model successfully describing several independent experimental datasets.
The Calibration Method of a Stereo-Vision-Based Coordinates Measurement System via a Two-Axis Turntable--The Combination of Stereo Vision and Turntable

Background: Stereo-vision-based three-dimensional coordinates measurement technology has been widely applied in the military or civil fields. There are two problems that need to be solved. The first problem is that each camera’s internal parameters and the two cameras' external parameters need to be calibrated. To increase the measurement range, usually, the turntable is used with the stereo vision system together. The second problem is the calibration of the turntable. Objective: The aim of the study is to construct and calibrate a stereo-vision-based coordinates measurement system via a two-axis turntable. Methods: Considering that the internal parameters of each camera do not change during the measurement process and the complicated optimization process of one-step self-calibration, a two-step stereo vision calibration method is proposed. In the first step, we calibrate the internal parameters of each camera through a specially designed planar target with circular points. In the second step, on the basis of the calibrated results of the internal parameters, the two cameras' external parameters are calibrated through a simple target which could be distributed in the measurement volume. For the calibration of the two-axis turntable, we calibrated the rotation axes of the turntable and the coordinates of points in the 3D space could be measured considering the non-orthogonality of the axes. Results: Some experiments are provided to examine the calibration methods we proposed. They are the plane target measurement experiments; the standard ball center coordinates measurement experiments and target pose measurement experiments. Experiment results demonstrate the superiority of the calibration method we proposed. Conclusion: We studied the calibration methods of the stereo-vision-based coordinates measurement system via a two-axis turntable. The experimental results show the measurement accuracy of our system is less than 0.1mm.
EFL Students’ Perceptions on the Use of Grammarly in Writing Thesis

A thesis is a research paper that must be completed by the students in university as one of the mandatory requirements to complete their studies in a bachelor‟s degree program (S1), one of which is an English language education program. However, writing a thesis in English is not an easy way to be done. Because their thesis must be written in English, while in Indonesia itself, English is a Foreign Language (EFL). As The result, the students often get difficulties when they are asked to write their ideas in English, especially when it deals with grammar. Nowadays, the existence of many online grammar checkers plays an essential role to help the students in writing their English thesis, one of the grammar checkers which students often use is Grammarly.This study was focusing in identify EFL students‟ perceptions on the use of Grammarly in writing their thesis. This research used mixed-methods sequential explanatory as the research design. Questionnaire and interview were used to collect the data. The subject of this research was EFL students from English Education Department at Antasari State Islamic University who used Grammarly in the process of writing their thesis.The result showed that the EFL students who use Grammarly generally in agreement that Grammarly was useful in writing their thesis. The students perceived Grammarly as easy to use, have good suggestions and explanations for their grammar errors, have good grammar accuracy, and faster correction. They also stated that Grammarly helped them in improving their writing skill and confidence in writing, and also helped them to know more about English grammar rules. When it came to the quality of Grammarly itself, the students perceived Grammarly has a good quality. Therefore, all the students recommend usingGrammarly to support English students in writing their thesis.
LibGuides: Faculty Online Migration LibGuide: Assessment

This LibGuide is chock full of resources that will help you migrate your courses to an online environment.