Reviewerly/exHarmony huggingface dataset:
Innovative Pedagogy in Experimental Teaching &amp; Learning

To be a successful and good teacher, a teacher should keep adapting various methods and technology.A good teacher keeps experimenting and extends a flexible platform to scaffold her students.The teacher never forgets to incorporate values so that the students will be motivated towards self-determined learning.She should ensure that the students are engaged in various activities via flip classroom.She should know the usage and application of technology to support and enhance Students' skills and make learning more interesting and interactive.She should be ready to adapt to changes as per the need of the learning process.For this she should practice project based, researched based, activity based learning.She should even incorporate art in teaching methodology to create versatile and happy place.
Kinerja Logika Fuzzy Sugeno dalam Menangani Prediksi Kain Tenun dengan Kombinasi Random Tree dalam Membangun Rule

This study describes the performance of Sugeno fuzzy logic in determining the amount of woven fabric production by using a combination of random tree decision trees in forming rules. The criteria used in determining the amount of production, namely, production costs, demand, and stock obtained from woven fabric entrepreneurs in Mlaki Wanarejan Utara Pemalang. The random tree decision tree is used, one of which is to automatically generate rules from the available data without consulting with experts, in addition to introducing random trees in the field of research because there are still few studies using this decision tree. The results of this study, it was found that the accuracy while the prediction results tested obtained an Average Forecasting Error Rate (AFER) of 42% with a value 58% truth after being compared with the actual production data.Keywords : Fuzzy Logic, Fuzzy Sugeno Method, Rule, Random tree, Prediction.
A Multimode Two-Stream Network for Egocentric Action Recognition

Video-based egocentric activity recognition involves spatio-temporal and human-object interaction. With the great success of deep learning technology in image recognition, human activity recognition in videos has got increasing attention in multimedia understanding. Comprehensive visual understanding requires the detection and modeling of individual visual features and the interactions between them. The current popular human action recognition approaches based on the visual features extracted from 2-D images, and therefore often lead to unreliable salient visual feature detection and inaccurate modeling of the interaction context between individual features. In this paper, we show that these problems can be addressed by combining data from images and skeletons. First, we propose a pose-based two-stream network for action recognition that effectively fuses information from both skeleton and image at multiple levels of the video processing pipeline. In our network, one stream models the temporal dynamics of the action-related objects from video frames, and the other stream models the temporal dynamics of the targeted 2D human pose sequences which are extracted from raw video. Moreover, we demonstrate that a ConvNet trained on RGB data is able to achieve good performance in spite of limited training data. Our architecture is trained and evaluated on the standard video actions benchmarks of UCF101-24 and JHMDB, where it is competitive with the state of the art. Among them, we have got the best results currently on the JHMDB, the mAP reached 90.6%.
Understanding to Enhance, Between the Technical and Humanist Approaches

The topics brought to attention by the Symposium provide the opportunity to reflect on research experiences in the last fifteen years where the potential of digital technology, and augmented reality in particular, has been tested to enhance the cultural heritage.It is an opportunity to verify -beyond not only the apparent kaleidoscope of the latest technological "novelty or wonder", applications, and goals, but also changing groups of scholars or case studies -the presence or lack of a driving motive with regard to both the general goals and the specific discipline of Disegno, thereby validating, again at a distance of several years, the different experiences.
Interactive Information Models and Augmented Reality in the Digital Age

The construction industry in the digital era has seen significant changes in design, construction, and spatial process learning through new technological systems.These processes influence management and how data is collected, cataloged, and monitored using sensors and connected users.The real challenge that the digital era imposes on the society of the future is to define new secure and resilient digital models coupled with interoperable methods that minimize the impacts of our built heritage throughout its lifecycle.For these reasons, new models are being investigated to educate, gain detailed knowledge of places, design inclusive spaces that meet users' needs and finally manage and maintain the built heritage.New technologies of Augmented and Virtual Reality support principals and users to define stable and interoperable relational processes.Although the challenge is ambitious, it is essential to find efficient solutions in governance policies for the city's future.
APLIKASI GAME EDUKASI PUZZLE DENGAN KECERDASAN BUATAN BERBASIS ANDROID

ABSTRACT&#x0D; This study aims to see the designer and implementation of a puzzle educational game application with artificial intelligence using a finite state machine (FSM) and android-based random shuffle based on android. The data research method is by browsing the internet, studyng books, journals, theses, and SWOT system analysis. The shuffle random algorithm for randomizing puzzles and game agents uses a control system (finite state machine) FSM as AI (artificial intelligence). UML method (integrated modeling language). The results of this research application of fruit, animal, and transportation name recognition games in the form of .APK and run on an android smartphone, educational games "puzzle games" based on android can be played for early childhood with the results of testing a questionnaire of 5 questions with 12 respondents proved to be very feasible with a percentage index of 96%.
Influence of Bottom Water Parameters on the Distribution of Benthic Foraminifera from the Gulf of Mannar, Off Tiruchendur, Southeast Coast of India

Foraminifera are found in all marine environments, but they are very particular about the congenial environment for their reproduction, diversity and abundance. To understand the influence of bottom water parameters on the distribution of foraminifera from the shallow shelf region of Bay of Bengal, off Tiruchendur, Southeast Coast of Tamil Nadu, sediment and bottom water samples were collected at 27 stations, along three traverses viz. from off Veerapandianpattinam, off Tiruchendur and from off Alandurai, ranging in depths from 1.6m to 18.5m. The samples were collected during three seasons representing, summer (May 2016), pre monsoon (October 2016) and winter (January 2017) and thus the total samples amounted to 81. A total of 105 species of foraminifera have been identified from 47 genera, 32 families, 16 superfamilies and 4suborders. Among these 105 foraminiferal species, five were found to be widespread and abundant viz. Ammonia beccarii, A. tepida, Asterorotalia inflata, Nonioniodes boueanum and Quinqueloculina seminulam. Various bottom water parameters such as temperature, salinity, dissolved oxygen and pH were determined and correlated with the foraminiferal population. Temporally, higher temperature, salinity, dissolved oxygen and pH of bottom water observed during summer (May 2016) were congenial for higher population in the study area. Optimum conditions for the higher population and abundance of foraminifera are: Temperature: > 32.0°C, Dissolved oxygen: >6.0 mg/l, Salinity: >32 ppt and pH>8.1.
MODELING MICROCLIMATE OF SHIP PREMISES IN MATLAB-SIMULINK

Purpose.Improvement of the crew safety and comfort requires a study of temperature, humidity and indoor air quality dynamics.The purpose of the study is to develop a modeling technique that will allow to synthesize a model of the microclimate of the ship superstructure as a continuous hierarchical dynamic system.The structural elements of the system being modeled are interconnected air chambers: premises and air ducts.Mathematical description of air tanks should allow modelling of the indoor air temperature, humidity and gas composition dynamics.Method.The study utilizes methods of abstraction, system analysis, comparison and synthesis.The object of the study is the microclimate of the ship's superstructure.The subject of the study is modeling of air temperature, humidity and gas composition the dynamics.The superstructure is considered to be a set of rooms connected by supply and exhaust air ducts.The corresponding elements of the moist air subsystem of the Matlab-Simulink software package were used for modeling of premises and air ducts.Results.Structural identification of the control object has been performed.Existing mathematical models, approaches and systems of microclimate modeling are analyzed.A method of modeling on the basis of the humid air subsystem of the Matlab-Simulink software package using the design documentation of the central air conditioning system and superstructure drawings is proposed.The method has been applied to the synthesize the model of the gas carrier superstructure microclimate.As a result of modeling, the acceleration curves of the average temperature and average humidity of the ship's superstructure were calculated.The adequacy of the obtained model is shown.Scientific novelty.The proposed method allows to synthesize a model of the microclimate of the superstructure of any vessel and to investigate the characteristics of the system that were not taken into account during the design of the vessel, to implement and improve the use of centralized and distributed filtration systems and automatic air control.Practical importance.The application of the technique allows to improve and develop filtration systems and control systems for the preparation and distribution of superstructure air both at the design stage of the vessel and during its operation.
Geospatial And Drone Technology For M &amp; R To Ratnagiri Water Supply Scheme &amp; Feasibility Study of Harcherikt Weir

Water is basic human need, despite of the rain there is water scarcity in major urban area as well as the rural areas.Only way to deal with this problem is to preserve the available water as much as possible.To preserve this, we have to build dams, weirs, Bandharas, Barriers on the river stream.The construction of these structures is expensive.There has to be better idea, coming to this we can just increase the height of the existing dams and we can increase the capacity of the water using the drone and GIS technology.To follow this, we worked on the Harcheri KT weir, situated in Ratnagiri district of kokan region where the rainfall is moderate, but still the issue of water is faced.Water demand has increased due to population and the expansion of Industrial area.We used Geospatial and Drone technology to increase the height of the Hacheri KT weir.The feasibility study of Harcheri KT weir using GIS based Integrated mapping and area capacity graphs helped the authority to distribute the water equitably, improve service delivery and achieve standard benchmarks. .
The Use of AR Illustration in the Promotion of Heritage Sites

The course of Performative Techniques in Visual Arts (2020-21 edition) at Libera Accademia d'Arte Novalia revolved around a project which saw students actively involved in the promotion of a local heritage site: the Precettoria (Abbey) of Sant'Antonio di Ranverso (Province of Turin).Despite its cultural relevance this site is little known, although the last few years saw an intense campaign for the promotion and restoration of the complex.The project completed during the course is part of this effort and the management of the site has been involved in its completion.
Vehicle Starter using Face Recognition

Face acknowledgment is an interesting exploration subject as of late. The scientists proposed different strategies. The factors are similar to an assortment of lighting up, outward appearance, leveling, and perspective turn of events influences the precision of the face affirmation procedure. The fundamental requirement is the separation of the facial picture and the SURF (Speeded up Robust Features). Notwithstanding that they are additionally halfway invariable to brightening and relative change. This undertaking recommends a facial acknowledgment procedure utilizing SURF highlights and Support Vector Machine (SVM) classifier. The outcomes demonstrate that the proposed technique can prompt high acknowledgment productivity. The proposed framework is applied to vehicle get to control by interfacing the Arduino microcontroller board with PC.
Portable e-Comics Implementation in Bahasa Indonesia Lessons to Improve Literacy Culture for Class IX Students

This research is motivated by the demands of the 21 st century world development as well as progressively growing information and technology.Portable e-comics in this study are utilized as a tool for Bahasa Indonesia teaching material for class IX students using a digital media device (gadget) as an effort to improve the literacy ability.Based on the results of the inferential statistics test, it can be interpreted that the Asymp value.Sig.(2-tailed) is 0.000 <0.05, showing that Indonesian language teaching material based on portable e-comics can significantly improve the literacy ability.This is also supported by the validation results of the material and learning experts.Similarly, the results of the students' questionnaire on the ease of understanding Bahasa Indonesia teaching material in the form of portable e-comics, the attractiveness of presentation, and the ability to improve literacy abilities.
A Study on Reading Habits of Primary School Children in Lhuentse District

The issue of reading, especially book reading has received much attention from different quarters in recent times because of the downward trend it is experiencing, especially among the young generation. The researcher realized that student's reading culture particularly developing reading habits were observed to be very poor. Students neither acquired skills of reading nor develop habits of reading. These experiences and observations have motivated me to carry out research to enhance reading skills in reading and promote reading habits for children.&#x0D; This research is to study on Reading Habits of Primary School children under the Lhuentse District. Reading habit and its impact on children of the respondents have been analyzed to find out how reading habit is affected by various elements. Based on the findings of a questionnaires-based survey, the paper also attempts to put forward some suggestions for improving the reading habits of the children.
한국어교육에서의 ‘매개(mediation)’ 영역 설정의 필요성과 방향

This study aims to discuss the establishment rationale and utilization of “mediation,” which is the sub-domain of the curriculum, in . To this end, we first extended the concept of “mediation” from a limited concept of linguistic activity that helps third-party communication as direct communication is not possible in “relational mediation” that establishes and manages interpersonal relationships and a “cognitive mediation” that enables access to knowledge and concepts. By expanding the concept of mediation in this way, mediation was divided into mediation activities and mediation strategies to examine each subtype and concept. Based on these discussions, the rationale for introducing the domain of mediation in Korean language education was the need to promote communication between Korean users and learners'' peer groups, attitudes and speech tone, and multimedia utilization in education. And lastly, for the utilization of “mediation” in Korean language education, the necessity of the validation of descriptors, development of teaching/learning materials, and development of evaluation tools such as self-assessment grids was suggested (Seoul National University, Gyeongin National University of Education, Seoul National University, Busan University of Foreign Studies)
TROLI BELANJA SEBAGAI KONSEP PERANCANGAN KURSI TERAS

Human needs are increasing, chairs and tables are one of the supporting factors for human activity, the design of a process to create products for humans in their activities, in creating products, a research approach is needed so that the products created are really needed. The design process is a long series of work to create a product, design covers all possible aspects to be solved by imagination and creativity, so that innovative products are created. Sketches are selected at the initial stage in the product process, work drawings as a reference for product work, system construction or the method used to strengthen the product, finishing increases the beauty value of wood grain, durability, friction and punch strength can add value to the product, creating a product needs to explore shape and adequate study and supported by complete data.
Appraisal of Recent Developments in the Digital Library Services of Festus Aghagbo Nwako Library Nnamdi Azikiwe University, Awka. (FANDL)

The study was carried out to appraise the recent development in the digital library services of festusAghagbo Library Nnamdi Azikiwe University, Aawka.(FANDL).Specifically, the study aimed at identifying new innovations, and developments being made so far since the inception of the Digital Library in 2009 till date.Also, to identify number of units and services/functions rendered by each unit.To ascertain the capacity of work stations and staff strength in Digital Library.To know the level of their input and output and beneficiaries.To find out how do source their resources.The instruments used were oral interview and personal observation by the researcher.After the investigations, the researcher find out that the digital library has made huge progress in acquisition of e-books, e-journals, e-theses and dissertation and 2017 latest scanner and digitizing machines.More so, their staff strength has increased from 2 librarian to 3 librarian, 4 non librarian and 1 technical staff who is in charge of NOC.They have 6 functional unit and their services differs according to their specifications.The researcher also find out that target audience of the digital library are undergraduate, postgraduate, sandwich, CEP, JUPENG students, researchers and staff of the university.The study however recommends that more innovations should be made to meet up the demand of these patrons.Especially in the area of electricity and functional work stations.More importantly, to employ more staff in the digital library.
IDENTIFICATION OF UNKNOWN PARAMETERS AND PREDICTION WITH HIERARCHICAL MATRICES

Statistical analysis of massive datasets very often implies expensive linear algebra operations with large dense matrices.Typical tasks are an estimation of unknown parameters of the underlying statistical model and prediction of missing values.We developed the H-MLE procedure, which solves these typical tasks.The unknown parameters can be estimated by maximizing the joint Gaussian log-likelihood function, which depends on a covariance matrix.To decrease the high computational cost, we approximate the covariance matrix in the hierarchical (H-) matrix format, which has only a log-linear computational cost.The H-matrix technique allows inhomogeneous covariance matrices and almost arbitrary locations.Especially, H-matrices can be applied in cases when the matrices under consideration are dense and unstructured.For validation purposes, we implemented three machine learning methods: the kNN, random forest, and deep neural network.The best results (for the given datasets) were obtained by the kNN method with three or seven neighbors depending on the dataset.The results computed with the H-MLE method were compared with the results obtained by the kNN method.The developed H-matrix code and all datasets are freely available online.
Anomaly Detection in Arabic Texts using Ngrams and Self Organizing Maps

Every written text in any language has one author or more authors (authors have their individual sublanguage). An analysis of text if authors are not known could be done using methods of data analysis, data mining, and structural analysis. In this paper, two methods are described for anomaly detections: ngrams method and a system of Self-Organizing Maps working on sequences built from a text. there are analyzed and compared results of usable methods for discrepancies detection based on character n-gram profiles (the set of character n-gram normalized frequencies of a text) for Arabic texts. Arabic texts were analyzed from many statistical characteristics point of view. We applied some heuristics for measurements of text parts dissimilarities. We evaluate some Arabic texts and show its parts they contain discrepancies and they need some following analysis for anomaly detection. The analysis depends on selected parameters prepared in xperiments. The system is trained to input sequences after which it determines text parts with anomalies using a cumulative error and winner analysis in the networks. Both methods have been tested on Arabic texts and they have a perspective contribution to text analysis.
Cloud Computing and Dependency: An ERA of Computing

Cloud Computing offers an entirely new way of looking at IT infrastructure. Cloud Computing system fundamentally provide access to large pools of data and computational resources through a variety of interfaces similar in spirit to existing grid and programming system. Cloud Computing eliminates an up-front commitment by users, thereby allowing agencies to start small and increases hardware resources only when there is an increase in their needs. Moreover,cloud computing provides the ability to pay for use of computing resources in a short term basis as needed and release them as needed. In this paper we focus on architecture, types of cloud services, characteristics, advantages & disadvantages and security of cloud computing.
Decision Support Model for Evaluating the Performance of Tutor’s Teaching using Moodle

Tutors as online teachers assume a significant part in the achievement of learning success. The capacity of an actual tutor is to instruct and work responsibly according to the learning objectives. The main goal of this research is to propose a decision support model (DSM) which is worked for tutor performance evaluation. Fuzzy AHP and hill climbing are the main method operated scientifically in this study, which both are utilized to analyse, design, and develop the constructed model. By utilizing log information on the Moodle platform, a study can be conducted, where the measurement of tutor performance is selected as the object of research using eleven parameters; like assignment feedback, assignment score, discussion feedback, discussion score, participation, motivation, teaching style, communication, concern, approach, and critical thinking. Later, such a model is going to be a problem solver in helping decision makers in deciding a decision to upgrade the tutors
Human Activity Recognition Methods

Human action in a video based application plays a significant role that alerts the researchers towards recognizing the motion of human. Other video applications also have video content extraction, summarization, and human computer interactions. The existing methods needs manual footnote of pertinent portion of actions of our interest. Recognition of human action can be done authentic without physical commentary of applicable parts of action of any one’s interest. In this paper we try to update the previous reviews on many ways of recognizing Human activities in videos that had different techniques like Hidden Markov model, feature extraction, segmentation etc. the recognition of human activity in applications like visual observation in mobile, human fall detection, video conference, robotics.