Reviewerly/exHarmony huggingface dataset:
A Study on the New Educational System of "Learning-Practicing-Innovating" in Application-oriented Undergraduate Colleges from the Perspective of "Integration of Major and Innovation"

Innovation serves as the very first driving force for both development and the strategic support for building and establishing a modern economic system. With the background of “Entrepreneurship and Innovation", application-oriented undergraduate colleges have broken the traditional talent cultivation and coaching model and thus further explored the talent cultivation and coaching model of "major and innovation integration". Regarding the current application-oriented undergraduate colleges’ "major and innovation integration" cultivation and coaching objectives are not closely connected with industrial innovation, the lack of support for professional and practical courses, and the imperfect evaluation system and management mechanism. With "learning" resembling strengthening the muscles and bones, this study studies the three dimensions of “practicing” to explore the truth and “innovation” to promote results, explore the new system of “Learning, Practicing and Innovating” education of “major and innovation integration”, and put forward the integration of industrial innovation and cultivation and coaching goals, followed by the integration of innovation and entrepreneurship projects ,as well as the curriculum systems, A talent cultivation and coaching model is built for integrates innovation and entrepreneurship platforms ,as well as the experimental cultivation and coaching courses, integrates evaluation standards for skills competitions and teaching quality evaluation standards [1].
ЛЕГО-ТЕХНОЛОГІЇ ЯК ЗАСІБ МАТЕМАТИЧНОГО РОЗВИТКУ ДІТЕЙ ДОШКІЛЬНОГО ВІКУ

For most of us, the fields of science, technology, engineering, and mathematics are both very exciting and inspiring, or extremely complex concepts. They often get a reputation for being «hard» sciences. Hard, both in meaning for understanding and learning, and with a reputation for being hard, that is, one that leaves very little place for creativity or imagination. According to the authors of the article, LEGO technologies help to ensure that both children and adults to be passionate about science, in particular mathematics.The article notes that for preschool educational institutions, using LEGO constructor for the purpose of developing mathematical competence in senior preschoolers is an effective educational solution, especially in the context of the COVID-19 pandemic, since lessons with LEGO constructor can be easily implemented remotely. Such lessons, as the authors of the article note, ignite the natural curiosity of children, helping them to develop the necessary skills of communication, creativity, cooperation and critical thinking in an interesting and exciting way. Tactile, flexible solutions grow with children as they solve problems and discover how science, technology, engineering, and math affect their daily lives.
Ranking of Websites of State Universities in Tamil Nadu using WISER and PRIMOEX: An Analytical Study

This Study examines and explores through a  web metric ranking analysis of the websites of 22 state universities in Tamil Nadu. It discussed the domain systems of the websites; WISER Web ranking for the year 2016 and 2017. Similarly the researchers manipulated a new ranking tools for ranking the websites of State universities of Tamil Nadu, According to WISER ranking, Anna University is ranked first with 2469.4 WISER value followed by Tamil Nadu Agricultural University which is ranked second with 4031.4 WISER value. University of Madras is ranked third with 4333.8 WISER values in the year 2017. But . But when we used the PRIMOEX ranking, Anna University is ranked first with 3653.3 PRIMOEX value followed by Tamil Nadu Agricultural University which is ranked second with 4090.6 PRIMOEX value. Madurai Kamaraj University is ranked third with 4136.1 PRIMOEX values. Alagappa University is ranked fourth with 4956.1 PRIMOEX value and Alagappa University with 6001.9 PRIMOEX value is ranked fifth. It found that PRIMOEX good tool to measure the ranking of websites of state universities of Tamil Nadu. URL:  http://ijkcdt.net/xml/21158/21158.pdf
Geo Mapping and Analysis of Alumni Data (with Full Stack Web Development)

A dedicated alumni network is considered to be a great asset to any institution. Alumni are the face of the institution, those who represent the institution in the real world. With more people looking to upskill, many alumni may prefer their alma mater for higher courses or certificate programs. Institutions can also keep track of courses popular among their alumni. Alumni provide the best form of marketing for their alma mater, i.e, word of mouth marketing, making alumni relationships a critical component of developing the institution's brand. A large number of institutions turn to donations from their alumni to subsidize their undergraduate programs [13]. The main aim of this work is to build an interaction between alumni, administrators and the students; a system that will be able to collect and analyse alumni dataset of an institute, to provide trends, locate anonymously and provide easy access to the same.
A home-based intervention towardspreschoolers’ EFL sentencedevelopment: A case study

Research has shown that the initial few years of children’s lives are the best timesfor language to develop at a rapid pace, the first language (L1) or a foreignlanguage (FL) may be acquired these times. Researches on preschoolers FLacquisition with home-based intervention (HBI) have not been studied extensivelyunder the L1 environment. This study aims to examine the results of HBI on thedevelopment of the acquisition of Indonesian preschoolers’ English as a ForeignLanguage (EFL) sentences. This research is a case study with naturalisticobservation design, where data were obtained from logbooks and interview. Theresearch subjects were 2 preschoolers about 36 months. The study’s duration was24 months from the 13th until the 36th month with HBI, namely parents-based andauthentic/semi authentic-media intervention. The data were the children’s Englishsentences taken at 24th to 36th months at their own homes. The Owens’acquisition of sentence forms measured the English sentences’ development of inthe respondents’ conversation and self-narration. This research found that at about36th month, these Indonesian preschoolers were able to communicate in English invarious sentences such as declarative, negative, interrogative, imperative,embedded and conjoining.Keywords: home-based intervention; preschoolers; EFL; sentences; development
Email Security using Hybrid Approach and Classification

Today Email is considered to be the most important medium of communication for both professional and non-professional work. Also the attachment in email contains important documents, messages, files etc .The need for more secure and advanced dissemination is ever increasing since advancement in digital transmission has also posed equally challenging threats.Hence security becomes a major aspect in email.The technique Cryptography converts the data into cipher text so that original data will not be in readable form to others and to hide the conversation, steganography is the process of hiding a secret message within an ordinary message and extracting it at its destination Also, it becomes easy for users if the mails are organized in professional and personal categories. Hence in our proposed system, we will provide security through steganography and cryptography and provide classification for personal and professional mails.
LibGuides: Computer Science: Open Access

This guide provide information of resources about Computer Science open access resources and journals and databases
Why and how does CDGP limit access to some deep geothermal data

&amp;lt;p&amp;gt;The Data Centre for Deep Geothermal Energy (CDGP &amp;amp;#8211; Centre de Donn&amp;amp;#233;es de G&amp;amp;#233;othermie Profonde, https://cdgp.u-strasbg.fr) was launched in 2016 by the LabEx G-EAU-THERMIE PROFONDE - now ITI GeoT, https://iti-geot.unistra.fr/ - to preserve, archive and distribute data acquired on geothermal sites in Alsace. Since the beginning of the project, specific procedures are followed to respect international requirements for data management. In particular, FAIR recommendations are used to distribute Findable, Accessible, Interoperable and Reusable data &amp;amp;#8220;As Open as Possible, as Closed as Necessary&amp;amp;#8221;.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;CDGP distributes data originating from academic institutions as well as industrial partners. The former are obviously open and disseminated without restriction, to fulfil Open Science requirements. The latter are nevertheless less opened, depending on the access restrictions given by the data owner. Up to now, the industrial data may be open, restricted to academic, distributed case-by-case (after owner&amp;amp;#8217;s agreement), or closed. Metadata are fully open. The access rights are also pushed to the EPOS TCS-AH platform (https://tcs.ah-epos.eu).&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;CDGP implemented an Authentication, Authorization and Accounting Infrastructure (AAAI) to handle the distribution rules. Business category is verified at least for academics to grant access. Datasets are provided (or denied) automatically if possible. If necessary, the user&amp;amp;#8217;s request is forwarded to the provider who can accept or disallow access. Reports listing datasets distributed to users are sent to providers every six months. This AAAI is build to earn and keep data providers&amp;amp;#8217; trust, as well as to publicized data.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;CDGP is trying to broaden the number of open datasets. There are questions on access restrictions to some vintage industrial data of Soultz-sous-For&amp;amp;#234;ts, since some of them where acquired with public European funding. Also, industrial data from Vendenheim area where several felt earthquakes occurred (2019, 2020), currently not available, may become partly accessible since some exploration was done for &amp;amp;#8220;scientific purpose&amp;amp;#8221; and that expertise studies are required to understand the induced seismicity.&amp;lt;/p&amp;gt;
Efektivitas Pemakaian Aplikasi Katakana Memory Hint Dalam Mata Kuliah Shokyuu Moji Goi Zenhan

This research is about the effectiveness of an Android application called the Katakana Memory Hint in learning Japanese letters during the Shokyuu Moji Goi Zenhan course. The course is taken by first-year students of the Japanese Language Education Study Program of Universitas Negeri Padang. This research focuses on one of the Japanese characters, the Katakana letters, because they are difficult to understand. For basic level learners, of course, they need media to help make it easier to learn the Katakana letters. Due to the rapid development of today's smartphone technology, Android applications have become a medium to help the learning process especially Japanese. This research is done to find out the advantages of an Android application called the Katakana Memory Hint designed by the Japan Foundation. This research applied the experimental method. The respondents were first-year students of the Japanese Language Education Study Program of Universitas Negeri Padang with the number of research sample of 30 people. The research findings show that the application is, as a matter of fact, effective in helping students to read and write the Katakana letters.
캐비닛 엑스선 검색장비 이미지품질평가 고도화 방안 연구

Purpose: This study proposes methods and procedures for evaluating imaging security systems quality of cabinet x-ray screening system to enhance performance certification technology. Also, conducted a comparative analysis of the literature of test-kit for imaging security quality evaluation.Methods: Comparative analysis of the test-kits and related documents for image quality assessment of cabinet x-ray screening equipment. This allows assessment items were selected and the methods for each assessment item were proposed. In addition, the configuration method of the assessment team was established by applying the technology readiness assessment(TRA).Results: Four of the assessment items were selected when estimate image quality by a comparative analysis of literature. For each assessment item, the evaluation method and minimum level of availability were determined. Finally, this paper proposes an imaging quality assessment of cabinet X-ray imaging security systems.Conclusion: Development of imaging security systems evaluation procedures for cabinet X-ray screening systems can be help improve performance certification of aviation security equipment.
Peranan Teknologi Augmented Reality Sebagai Media Pembelajaran di Masa Pandemi Covid-19

Since the COVID-19 pandemic, every learning has to be done online, even though vocational institutions require more practice. So far, students are only given video tutorials on practical learning methods that are felt to be less effective, because students cannot directly touch the items, so it is still not optimal. This condition also makes the motivation and interest and curiosity of students in learning decrease. These situations and conditions require teachers to think creatively and innovatively in designing and implementing learning to take place effectively. One way that can be done by teachers by utilizing the latest technologies that are increasingly sophisticated as learning media. Augmented Reality technology is an alternative solution that can be used as a learning medium. Augmented Reality is an attempt to combine the real world and the virtual world created through a computer so that the boundary between the two becomes very thin. The results of this study are to produce an application that runs on the Android platform by implementing Augmented Reality as a support in learning media activities in the Audio Video Technical Vocational High School. Keywords:  Augmented Reality, Android, COVID-19, Learning Media
Design of wireless data transmission tool using XBee

Temperature and humidity are important things tobe considered because they can be sensitive things to fulfill for certain conditions. To reach the certain conditions, both of them must be set in certain values to fulfill. Aim of research is to design a tool that can detect the of temperature and humidity from a box of eggs hatching and send the data readings wireless using XBee. The results of temperature and humidity are transmitted from different place to another in different distances from 1meter-50meter. DHT22-Sensor is used to detect temperature and humidity of eggs hatching box. All data are processed of ATMega-328P send it through XBee-Transmitter and XBee-Receiver, before display it on a monitor. In data transmission, system uses 9600kb/s baud rate. If temperature reading of DHT22-Sensor in range from 37.90C-38.60C and 50%-60% for range of humidity, so both of values are in set value. All of data detection are validated with Digital Sensor and Hygrometer. From results show that the range differences of temperature readings are 0.1oC-0.5oC, while humidity readings are 1%. All the results can be accepted because the different data are small and have no effect when those are applied to hatching box.
Feature Extraction of Dynamic Sign Language Based on Dct

Sign language is the basic way to communicate and understand ideas among people with disabilities, deaf and dumb, and to recognize and understand the meanings of the motions and the gestures used by them that requires knowledge of certain features such as hand position, form, motion, directions and facial expressions. Moreover, the extraction of image features is important and it plays a vital role in further analysis of image processing. Extracting the special features of the isolated Arabic sign language (ArSL) words based on Discrete Cosine Transform (DCT) was proposed in current paper. By monitoring and tracking the trajectory of the hands when single hand movement or double hands extract the required features. That is the independent sign language word features vector is incorporated as an input into the classification stage to derive the meaning of the word as voice or text. The research data were collected in cooperation with the Ministry of Labor and Social Affairs of Iraq with the assistance of the Special Needs Department and up to 40 words of isolated sign language collected. Two signs were taken as examples of feature extraction (Happy and water). Since the word happy gives an example of a sign word performed by two hands, on the other hand, the word water is performed with one hand, the Arabic sign language contains different words, part of them are performed with one hand and the other part with both hands.
Detecting Features via Modified Harris Corners and Matching Them through SIFT

Interpreting images spatially is a daunting task which is achieved by detecting corners and features. The most important task of detecting features is achieved by Harris Corner Algorithm. The algorithm is not robust to different scale of the same image. The algorithm may detect corner but when the image is zoomed in, the corner may appear as ridges. We use the corners detected from Harris Corner algorithm and treat these as key points to pass into Scale Invariant Feature Transform (SIFT) algorithm. The SIFT algorithm extracts descriptor vector of dimension 128 X 1 from these corners and can be used to find similarity between different images. This process is quite robust to noise, intensity, scale and occlusion and is used for matching images from a database of descriptors. We have investigated both the algorithms in this paper and made a modified version of Harris Corner algorithm by performing different kind of thresholding, both of them gave a little different result.
Application of the AP4M Model in Reading the Understanding of Genre Narrative Text Through E-Learning

This research was motivated by observations and interviews of learning tools for reading skills lectures in the Indonesian Language and Literature study program, Bung Hatta University. It is known that reading courses are generally given in the form of minimal reading theory and practice. As a result, students have difficulty understanding the reading text because students do not know the genre of the text being read. To solve this problem, one of the alternatives proposed is to apply the AP4M Model in Reading Comprehension of Narrative Text Genres through E-Learning. The research objective was to describe students' reading comprehension skills using the AP4M model. This research uses qualitative and quantitative methods. The research subjects were students of the Indonesian Language and Literature Study Program, Bung Hatta University, Padang, class 2019/2020. The results showed that the students' ability to determine themes and messages was 8.90; determine the type of narrative text and its description 8.90; determine the structure of the narrative text genre 9.80; determine the character of the character 7.8. The results of the research on the application of the AP4M Model in reading comprehension of the narrative text genre of students were 8.6 with the very good category.
A Model for Comprehensive Studies of Alluvial Fan Deposits: A Case Study at Ramhormoz Mega-Fan in Southwest Iran

A diligent study of detrital sediments and especially alluvial fan sediments requires a comprehensive model from different sedimentological, geochemical, morphotectonic and environmental perspectives. Ramhormoz alluvial fans have been selected as a study site, which is located in southwestern Iran, next to Bakhtiari and Gachsaran formations. These alluvial fans have been studied from the perspective of sedimentology, geochemistry, hydrochemistry, neotectonics and environmental hazards. Studies show that grain size varies from gravel to clay/mud size. Based on field evidence, 10 lithophyses: Gh, Gci, Gp, Gcm, Gmg, Gmm (gravel), Sh, Sp, Sm (sandy) and Fi, Fm (mud) have been identified, of which five structural elements CH, GB, SG, SB, FF are formed. The presence of these structural elements indicates that these sediments were formed in a fluvial sedimentary system (of the cut type with gravel bed), where sediments were transported along gullies. Petrographic studies show that the most abundant sediments are calcareous gravels. This study show that the provenance of these sediments in Ramhormoz region is from Gachsaran and Bakhtiari formations. Sedimentological studies have led to the division of alluvial fans into three parts: proximal (near the origin), medial (middle) and distal (farther from the origin. The results of geochemical analysis show that calcium and magnesium oxides have the highest percentage of overall oxides in this region. In addition, the most abundant percentages of rare earth elements include elements like Ce, La, Nd, Y, and the most abundant heavy metals are Zn, Pb, Cu, and Cd. The correspondence of geochemical and petrographic data indicates the study area is in active continental margin. The study of environmental pollution with the help of geochemical data show that Ramhormoz region is in an alarming situation in terms of pollution caused by V, Ni, Pb, Zn and Cu elements. Mineralogical studies performed by XRD technique show that chlorite and illite are the most abundant clay minerals in the studied samples. In addition, hydrochemical studies show high hardness of groundwater in Ramhormoz area due to the presence of Gachsaran Formation and as well as high amount of sulfate, sodium and calcium in this region. Tectonic studies conducted in the study areas show that the most important tectonic element in Ramhormoz region include Ramhormoz fault, which is a Persian anticline directly related to the transport of sediments in this area.
Information Theory: A Swiss Army Knife for system characterization, learning and prediction

&amp;lt;p&amp;gt;In this contribution, I will &amp;amp;#8211; with examples from hydrology - make the case for information theory as a general language and framework for i) characterizing systems, ii) quantifying the information content in data, iii) evaluating how well models can learn from data, and iv) measuring how well models do in prediction. In particular, I will discuss how information measures can be used to characterize systems by the state space volume they occupy, their dynamical complexity, and their distance from equilibrium. Likewise, I will discuss how we can measure the information content of data through systematic perturbations, and how much information a model absorbs (or ignores) from data during learning. This can help building hybrid models that optimally combine information in data and general knowledge from physical and other laws, which is currently among the key challenges in machine learning applied to earth science problems.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;While I will try my best to convince everybody of taking an information perspective henceforth, I will also name the related challenges: Data demands, binning choices, estimation of probability distributions from limited data, and issues with excessive data dimensionality.&amp;lt;/p&amp;gt;
VUT Libraries: Faculty of Applied and Computer Sciences: Ask-a-Librarian

This guide contains genral library information for the Faculty of Applied and Computer Sciences. Ask-a-Librarian is online service than enables you to chat or ask librarians any library related question anytime.