Reviewerly/exHarmony huggingface dataset:
Adaptive Neuro-Fuzzy Inference System with Non-Linear Regression Model for Online Learning Framework

In this paper, we present a combined hybrid of an adaptive neuro-fuzzy inference system with an adaptive online learning model (ANFISAOLM) using a non-linear regression machine learning technique to construct the Neural Network. We proposed ANFIS-AOLM for learning by modelingand controlling imprecise defined, uncertainty system with a significant role of the neuro-fuzzy method. The various simulation exercise was conducted with define input and output values, define rules and the dataset was created and trained the Neural Network. Exploration of the dataset was tested for ANFIS-I using “Grid Partitioning”; ANFIS-II using “Subtractive Clustering”; and ANFIS-III using “Fuzzy Clustering Means”. The study was conducted in order to explore the effectiveness of the combined hybrid learning opportunities using ANFIS and Non-linear Regression models. The study was experimented using MATLAB programming language for the adaptation of the online learning framework with learner’s capability to learn from the existing information and adapt accordingly in the learning environment. The results obtained from the analysis shows that with a membership function of 20 and 25 an average of 97.7% accuracy was achieved. However, as the number of membership functions increases the better the performance of the ANFIS and the higher the computational response time. The non-linear regression model also indicated that the relationship of the ANFIS system and the proposed technique is adequate for learner’s adaptation and the decision made through learning mechanism.
A service design approach to sustainable service innovation in prison contexts - Taking the Service Design of “Yu Fu Bao” as an Example

In recent years, China has gradually made clear its decision to modernize the governance system and governance capacity of the government by the virtue of digital transformation. As for the smart prison, as a penal institution of the state, technological reform is a key element in the sustainable development of smart prisons; however, relying on technology does not necessarily lead to a better service experience. Service design concept, as a coordinator of technology and social sustainability, needs to be adapted to the technological integration of smart prisons and to the needs for service design in the prison context in a new mode of thinking about services. This paper takes the development of the Jail Pay financial services system, one of the twelve sub-systems of the Smart Prison, as an entry point to explore the characteristics and shortcomings of the service design approach in achieving sustainable service innovation in the Smart Prison, it proposes an experience-based lead collaborative design (EBLCD) that is suitable for the specific needs in the prison context. The EBLCD is a theoretical framework and practical experience for sustainable service innovation in the construction of smart prisons.
ANALYZE MEMORY II:: ORGANIZING, FORGETTEN AND MEMORY MODELS

Organizing in memory, about analyzing memory II: which is a process carried out to compile a memory so that it is easier to remember compilation activities that have a purpose to form structures in memory that have ways and procedures for arranging memory models and reducing the problem of forgetting to the problem individual day-to-day. Forgetting, is something that causes a lot of people to easily fret about what individuals think, forgetting can hinder effectiveness in the planning and learning process. Forgetting is usually caused by several main causes due to the length of time information is stored in memory but not used or not repeated so that, when new information appears, there is forgetting because it doesn't repeat what was previously stored. Analyzing memory II provides insight into how organization, forgetting and memory models make it easy for individuals to continue to be able to analyze their memories.Keywords: Organizing, Forgotten, Memory Model
A Study on the Components of Korean Development NGO Accountability: Results of a Delphi Survey

연구목적: 한국 개발NGO의 책무성의 개념을 규명하고, 한국 개발NGO들이 자발적으로 책무성을 확인할 수 있는 책무성 프레임워크와 그 구성요소를 제시 하는 것이다. 연구의 중요성: 한국 비영리 단체들의 책무성에 대한 학문적인 논의가 활발하 지 않고, 한국 개발NGO 책무성에 대한 논의는 거의 찾아보기 어려운 현실에서 한국 개발NGO 책무성에 관한 연구를 시도하였다. 연구방법론: 한국 개발NGO 관련 내부 및 외부 전문가 총 30명에게 델파이 조사를 총 2회 진행하였다. 연구결과: 한국 개발NGO의 책무성 프레임워크는 6개 구성요소와 15개 세부항 목이 도출되었다. 결론 및 시사점: 책무성은 시대적 변화, 의무 부과 주체, 성과, 단/장기의 시간 적인 관점 등 변화하는 개념이기에, 본 연구의 결과로 제시된 책무성 프레임워 크를 적용해가면서 그 의미를 더욱 명확히 할 필요가 있다. 이와 더불어, 단체별 역량의 차이, 개별단체 뿐만 아니라 한국 개발NGO 그룹에 대한 영향력, 다양한 주체에 대한 책무성의 딜레마를 고려해야 한다.Purpose: It is to clarify the concept of accountability of Korean development NGOs and to present their accountability framework and its components that they can voluntarily prove their accountability by themselves. Originality: In a reality where academic discussions on the accountability of Korean non-profit organizations are not active, and discussions on the Korean development NGOs accountability are rarely found, it is attempted to study the components of their accountability. Methodology: A total of 30 internal and external experts related to Korean development NGOs conducted Delphi surveys twice. Result: 6 components and 15 detailed items were derived from the accountability framework of the Korea Development NGOs. Conclusions and Implication: Accountability is a changing concept such as changes in the times, subjects of obligation, performance, and short- and long-term perspectives, so it is necessary to clarify its meaning by applying the accountability framework presented as a result of this study. In addition, differences in capacities by organization, influence on Korean development NGO groups as well as individual organizations, and the dilemma of accountability to various stake-holders should be considered.
Stationary Signal, Autocorrelation, and Linear and Discriminant Analysis

The effect of the divergent nature of signals under a process enables the computer system to interpret the signals, i.e., either analog or digital in an appropriate way so as to perform as per the given instructions. The process of signal interpretation enables the machine to perform a wide range of applications that are signal specific in nature. The process of autocorrelation in machine learning (ML) is the mathematical representation of the degree of similarity among the provided time series and the lagged version of itself spread over the successive time intervals. The concept of autocorrelation process in ML has specifically been designed in order to support the process of similarity measurement among the lagged values and the actual value within the provided time series. Linear discriminant analysis (LDA), normal discriminant analysis (NDA), or discriminant function analysis, a generalized version of Fisher’s linear discriminant, is a method used in statistics, pattern recognition, and machine learning to find a linear combination of features which can characterize or discriminate among two or more classes of objects or events. The resultant combination may be further utilized as a linear classifier or for dimensionality reduction before later classification. The chapter discusses in detail the role of stationary signal, autocorrelation, and linear and discriminant analysis in machine learning to identify various patterns and distinct features in machines.
PERSEPSI GURU DALAM MENGEMBANGKAN BAHASA ANAK MELALUI BERMAIN PERAN DI LUBUK ALAI

This research is motivated by the importance of teacher's role in process of children's language development through role playing method, because it can stimulate children's desire to learn and make children excited, so it is important to examine the teacher's views on children's language development through this method. This aims to find out how the development of children's language in role-playing method, to know the teacher's perception in developing children's language through role playing, and know the application of role playing in children's language development. The type of research used descriptive with a qualitative approach. The results obtained from this study are the development of children's language through role playing is carried out by giving instructions and introductions to children before and giving roles to children so that children are able to play and interact well; Teachers' perceptions of children's language development through role playing methods are very important because they are able to develop all aspects of children's development, especially children's language, such as increasing children's vocabulary and imagination, establishing social interactions through communication and language expression, helping children express their feelings and various other benefits; while in its implementation in the Sun Cluster Kindergarten it has been running according to expectations and obstacles that occur such as limited facilities can still be overcome. It can be concluded that the teacher's perception of the role playing method is role playing can develop all aspects of children's development, especially children's language, namely in increasing children's vocabulary.
Iot-Based Smart Garden

In the current era of globalization, ease and efficiency of time and energy are the main considerations for humans in carrying out activities and there are still many plantations that use manual methods every day in watering plants, therefore the authors are trying to make IoT-based smart gardens to do watering automatically. In this tool the author uses a soil moisture sensor, DHT11 and Node MCU as the main control and control in the tool. This tool can also display soil and air conditions according to the reading from the soil moisture sensor and dht11 in the form of values on the application smartphone. This tool is also equipped with a water pump to do watering. This tool is very useful for humans today, because with this tool humans no longer need to water plants manually every day. With the use of the method prototype which consists of 4 stages, the first is to analyze the system requirements then make a system design consisting of hardware design and software design then the testing stage of the system being made and the last stage is to evaluate and implement if the system made is not suitable desired, it will return to the design stage and so on until it gets the desired results. The test results from 5 to 10 times the testing stages found that this system functions properly according to what is desired, such as watering and monitoring soil and air conditions using a smartphone with a fast response time. This tool is very useful for users who apply tools in plantations because this tool can help users to water automatically and can see the state of the soil and air conditions using a smartphone. The use of the Blynk application as a means of communicating between devices and smartphones makes it easier for users to read conditions and do watering.
Factors of Students’ Creative Activity in Scientific Research

The article deals with the problems of enhancing the participation of students in scientific research. The factors influencing the creative activity of students of a technical university in scientific projects, as well as personality traits, which are most conducive to the processes of self-activation of activity, are revealed. The construction of a new educational model of targeted training is substantiated on the basis of identifying and special support for the development of students’ aspirations for self-affirmation, competitiveness in the labor market, leadership in professional and entrepreneurial activities.
Towards Robust Auxiliary Tasks for Language Adaptation

To overcome the lack of annotated resources in less-resourced languages, unsupervised language adaptation methods have been explored.Based on multilingual word embeddings, Adversarial Training has been successfully employed in a variety of tasks and languages.With recent neural language models, empirical analysis on the task of natural language inference suggests that more challenging auxiliary tasks for Adversarial Training should be formulated to further improve language adaptation.We propose rethinking such auxiliary tasks for language adaptation.
State-of-the-Art Review on Applications of Harmony Search Meta Heuristic Algorithm

Harmony Search (HS) a meta heuristic algorithm inspired by music improvisation process in which the musician searches for the best harmony and continues to polish the harmony in order to improve its aesthetics. The HS algorithm was introduced in the year 2001 and has found applications in diverse fields.This manuscript reviews state-of-the-art applications of Harmony Search algorithm. As evidenced by a number of studies, this algorithm features several innovative aspects in its operational procedure that foster its utilization in diverse fields such as engineering, construction, telecommunications, robotics, health and energy.
The Perception of Printed English: A Theoretical Perspective 1

This chapter deals with the reading problem and reviews the current work on letter and word perception. This research has been somewhat fragmented, with some investigators dealing exclusively with unstructured letter strings, others with the perception of isolated words, and still others with the effects of meaningful context on word perception. The Estes model is quite successful in predicting the experimental data of interest. Consider a detection task in which the nontarget items are highly confusable with the target. The model correctly predicts that performance will decrease as the number of items in this type of confusable array increases, because of the increased competition for feature extraction between the distractors and the target. Experimentation on the problem of how people perceive letters in words goes back to Cattell. Cattell was interested in determining how many individual letters could be reported from a briefly presented array.
Use of Knowledge-Based Data Extraction Methods for Text Extraction

Combining the available information of academic papers accessible on the Internet is a key task in academic research. The major emphasis information collecting for citation tasks is necessary for the development of content through various secondary sources of data. In this work, we use an understanding method to acquire data, with such a focus on student journal data mining algorithms. We utilize an epistemic information retrieval scheme called INFO-MAP to mechanically obtain the data source. The findings show that together we can properly obtain author, name, publication, volumes, issue, date, and pages information from several citation formats utilizing INFO-MAP. The average total area reliability of reference retrieval for a genomics database is 97.87 % for 6 citation categories.
Deploy a Spring Boot Application Talking to MySQL in AWS

Chapter 3 introduced Amazon RDS, and you learned how to deploy it on the Amazon cloud. You created an instance of an Amazon RDS MySQL database in AWS and configured the database. You also created tables in this database and inserted data into it using MySQL Workbench.
An Efficient Methodology for Sentence Reordering Using Themesets

Among the challenges faced by the multi-document summarization, least attention is given for the organizing or reordering of extracted sentences to make the collective summary, since it is not an issue in single document summarization and a challenge only in multi-document summarization. It is essential to find a better solution to order the extracted sentences from multiple input documents by avoiding the repetition of sentences with similar meaning to keep continuity across the sentences. Unfortunately majority of document summarization approaches have not given importance to this final step hence feel lacks of continuity in reading summary. If we put the extracted sentences in the summary in the order of extraction, then the summary may be a collection of disjoint sentences and we cannot keep the continuity in between sentences. Here we are proposing a new methodology to reorder extracted sentences from multiple documents in an efficient semantic way by using Theme sets. To reorder sentences extracted as summary, we propose a two phase approach, a syntactic procedure followed by a semantic procedure. After completing the two procedures a reordered summary with improved readability has been generated.
Revitalization Analysis of the Orang Laut Language through the Local Load of Culture of the Orang Laut Community In Panglima Raja Village Concong District Indragiri Hilir Regency

This research is titled Revitalization Analysis Of The Orang Laut Language Through The Local Load Of Culture Of The Orang Laut Community In Panglima Raja Village Concong District Indragiri Hilir Regency. Researchers are interested in researching because some of the field can be seen by the children of the Sea Tribe people aged 5 years to 10 years do not use the language of the sea people, ages 10 to 15 years only understand but are unable to use actively and aged 15 years to 20 years only use occasionally with sentences piece by piece. This research was conducted with the aim to find out how the Language Revitalization of Orang Laut Through Local Content of Orang Laut Culture and How the Orang Laut Language situation after being made Local Content in formal education in the Panglima Raja Village, Concong District, Indragiri Hilir Regency. This research method is quantitative descriptive, with the formula: P = f / n x 100%. The study population was the entire community of Panglima Raja Village, Concong Luar Subdistrict, Indragiri Hilir Regency, which amounted to 1,850 households. Because the subjects or respondents in this study were 1,850 households, the researchers only took 10% of the total sample of 185 households. Data collected through questionnaires, interviews, and later observations from the results of the study can be concluded that the research hypothesis was accepted or proven, it also answers the problem formulation, namely, how is the Revitalization of the Language of the Orang Laut through Local Content of Orang Laut Culture and How is the condition of the language of the Orang Laut after being made Local Content in formal education in the community of Panglima Raja Village Submission, Indragiri Hilir Regency, the Revitalization of the Language of the Orang Laut through Local Content The Culture of the Orang Laut Can Keep the Language of the Orang Laut Well Enough and For the Problem Formulation how the situation of the language of the Orang Laut after being made Local Content in formal education is also pretty Good, this is also evident with the percentage of 45% of respondents confirming Quite Good, according to Ridwan (2008 : 88). this percentage of 45% is good enough to state the revitalization of the language of the Orang Laut through the local content of the culture of the Orang Laut, besides, if analyzed based on Ridwan's opinion the number of tables states that the education is 45% good, this is a high percentage and almost close to a good percentage, however the reason why this research did not arrive at a good percentage after the research was done the cause was only one school, namely at SMAN 1 Concong District Indragiri Hilir Regency which runs the Local Orang Laut Language Program, even though there are elementary schools and junior high schools (SMP) ) which was circulated by the Education Office to implement the Local Content of the Language and Culture of the Orang Laut but was not implemented.
Real Time Face Mask Detection and Social Distance Monitoring

The Objective of our assignment is to hold Social Distance amongst humans and to test Face Mask on face of peoples withinside the time of COVID-19 . This version may be detecting actual time Face masks and Social Distancing which may be very vital on this pandemic situation. Since all of the schools, schools and places of work which are closed now will reopen quickly and they may be wanting a few generations to be secure and healthy.
“A STUDY TO ASSESS THE EFFECTIVENESS OF STRUCTURED TEACHING PROGRAMME ON KNOWLEDGE AND ATTITUDE REGARDING BRONCHOPNEUMONIA AND ITS PREVENTION AMONG CARE GIVERS OF UNDERFIVE CHILDREN IN MAMATA GENERAL HOSPITAL, KHAMMAM, TELANGANA”.

Bronchopneumonia is a form of pneumonia that affects both the alveoli in the lungs and the bronchi. Children are more prone to get diseases. In their early stages of life, there is higher risk of infection due to their low immunity.Methodology:The study was conducted PICU and pediatric ward at Mamata General Hospital. The study was quantitative evaluative approach, pre experimental research design was used. The sample consists of 60 care givers of underfive children by using Non probability convenience sampling technique. The data was collected by structured interview schedule anf attitude rating scale. Results:Among 60 care givers of underfive children, majority of them 50( 83.40%) had moderately adequate knowledge and 10 (16. 60%) had inadequate knowledge in pretest where as In posttest majority of them 49 (81.70%) had adequate knowledge and 11 (18.30%) had moderately adequate knowledge. In attitude scores, majority of them 34(56.40%) had favourable attitude and 26 ( 43.30%) had moderately favourable attitude in pretest where as In post test majority of them 60(100%) had favourable attitude.Conclusion: The over all study concluded that Structured Teaching programme was effective in improving knowledge and attitude regarding bronchopneumonia and its prevention among care givers of underfive children.
Bayesian emergent self awareness

Multisensor signal Data Fusion and Perception, including processing of signals are important cognitive functionalities that can be included in artificial systems to increase their level of autonomy. However, the techniques they rely on have been developed incrementally along time with the underlying assumption that they should have been used mainly to provide a support to decision tasks driving the actions of those systems. Cognitive functionalities like self-awareness have been so far considered as not primary part of embodied knowledge of an autonomous or semi autonomous systems. One of the reason for this choice was the lack of understanding the principles that could allow an agent, even a human one, to organize successive sensorial experiences into a coherent framework of emergent knowledge, by means of integrating signal processing, machine learning and data fusion aspects. However, the developments of this last decade in many fields carried to the possibility to provide integrated solutions capable to sketch how emergent self awareness can be obtained by capturing experiences of autonomous agents like for example vehicles and intelligent radios. In this presentation, a hierarchical Bayesian representation is proposed based on generalized random states and including in a coherent inference framework anomaly detection and incremental learning. Described models are provided of generative (temporally and hierarchically) predictive as well as of discriminative capabilities and can be used as bricks of emergent self awareness in intelligent agents. Discussion of the advantages of including emergent self awareness in intelligent agents will be also provided with respect to different aspects, e.g. explainability of agent’s actions and capability of imitation learning.