Reviewerly/exHarmony huggingface dataset:
LibGuides: Knovel LibGuide: Save & Share

Resources and tools to get started with—and the get the most out of—Knovel. Learn how to save work and share with others
Design and Implementation of Personal Medical Assistant System Based on Edge Computing

Abstract In recent years, people pay more and more attention to health. In order to correctly respond to state of illness and reduce unnecessary medical expenses, in this paper, a personal medical assistant system based on edge computing is proposed. The overall structure and each functional module of the system are designed, and the tasks of each layer in the structure and implementation methods of each function are analyzed in detail. This personal medical assistant system can provide state analysis of illness, diagnosis and treatment advice, remote medical treatment and map navigation services, which can give a great help when people encounter diseases.
Computer Science Major Jobs and Graduate School Acceptances 2021

Life Beyond the Limestone, Graduating senior to accepted to Georgia Institute of Technology.
Research Guides: Text Mining Methods and Tools: Finding Text

Learn more about text mining (aka computational text analysis) and how you can apply it to your research.
Lossless Audio Steganographic Method Using Companding Technique

The objective of the work presented here was an implementation of lossless steganographic method on audio files in the frequency domain. The main contribution here was to use of companding technique in audio files to preserve the secret data reversibility with less influence on the signal. This was achieved by making the greatest changes in the less significant coefficients. In this work, secret bits were hidden in the detail components of the first level of integer wavelet transform using companding technique. Location map was created, to prevent samples’ overflow/underflow resulting from companding technique, and losslessly compressed using a proposed compression method. Subsequently, it was embedded in the approximation components of that level using LSB replacement. Prior to embedding the compressed location map, the proposed method used Fredkin gate to jumble both of the original LSBs and the compressed location map under controlling of a long secret key. This process was used to increase the security and preserve the reversibility. Results showed that the proposed method kept good quality of the stego-audio (SNR was above 30 dB), as well as restored the cover audio without any loss. In addition, the proposed compression method for location map achieved acceptable compression ratio. Furthermore, the security level was increased by use of Fredkin gate. In conclusion, companding technique can be used to achieve lossless data hiding with negligible effect on the audio quality when it is applied on the less significant coefficients.
A Study on the Strategic Characteristics of Regional Competency Reinforcement in Fishing Village New Deal 300 Project

This study aims to analyze the strategic characteristics of the regional capacity-enhancing project of the Fishing Village New Deal 300 project to revitalize underdeveloped fishing village areas as part of balanced regional development. It analyzed the overall goal, purpose, and basic direction of the regional capability enhancement project and presented four criteria for village community implementation, regional value enhancement, resident capacity enhancement, and village business development. The analysis results are as follows: First, the government planned to revitalize the community of local residents and operate a regional consultative body to implement the village community. Second, program development consulting considering regional characteristics and regional promotion and marketing plans were planned to implement regional value enhancement. Third, in order to strengthen the capacity of residents, the government plans to benchmark successful cases through professional education for residents and field trips to advanced areas. Finally, to foster the local economy, the government planned marketing and the operation of office managers to foster village companies operated by the village community. It is expected that an assessment of the process and outcome of the implementation of the regional capability enhancement project will be made for the practical effect after implementation.
ERROR ANALYSIS OF THE STUDENTS’ ENGLISH SPOKEN AND WRITTEN DESCRIPTIVE TEXT (A CASE STUDY AT SMAN 1 ACEH BARAT DAYA)

Abstract Name: Misla Nadya Student No.: 1806202020038 Study Program: Master Degree in English Education Department: English Education Title : Error Analysis of the Students’ English Spoken and Written Descriptive Text (A Qualitative/ Case Study at SMAN 1 Abdya) Keywords: Error Analysis, Surface Structure Taxonomy, Omission, Addition, Misformation, Misordering Error seems as a natural process of learning. In fact, students conducted errors in the prodctive skills. Therefore, this study is intended to find out types of errors the students made in spoken and written English language. This study employed the qualitative method design in which the Error Analysis was conducted. The subject of this study is the students in first grade of SMAN 1 Abdya and the object of this study were the errors found in spoken and written English. The population of this research was all of students in first grade which consists of 208 students from all study programs where 25 % of the population or 52 students were taken as the sample. To collect the data. Spoken and written tests were conducted. The results of students' errors in oral test show that the highest number of percentage is gained by omission as the most produced errors (61.83%) followed by misformation (18.38%), misordering (11.1%) and addition (8.69%). The written test show that the rank of percentage of errors in the written test is the same as the oral test, including omission errors, 58.38%, misformation error with a total of 16.48%, misordering error 13.89% and addition of 11.26%. The errors found when the students omitted 'to be' as the main verb or as the auxiliary verb, determiner, and disagreement on subject-verb. Second, students tend to add 'to' after the modal auxiliaries such as 'can' or 'will'. Third, misformation error happened when students could not form the verb correctly. Last, the misordering errors were produced where the students put the randomly. Some students translated the Indonesian language into English. Consequently, it was discovered that the errors made by students were impacted by their native language, and this is the interlanguage move. This prompted the students’ obliviousness in dominating the guidelines of structure of English for the explanation. They neglected to put the right tenses, the right types of action words, the right word request, their newness of utilizing articles, and their insufficiency to make good sentences in English.
Innovative Practices in Teacher Education

The teacher training in India was first started in Vedic period. In that period the senior students among the Brahmins were given the chance to teach junior students and thus were trained in teaching. The modern teacher training in India was first started by European missionaries. Due to globalization, we have shown paradigm shift in teacher-education program. It has been recognized that this programme is restructured to deal dynamically to the problem and challenges faced in the field of education. Today there are new expectations from teachers as they are future leaders to ensure suitable education. The main purpose of this paper is to indicate main changes that has incurred in teacher education in India and also provide as overview of trends, reforms and innovations in teacher education. It also discusses the need of teacher education programme to be innovative and various practices that can be included. It has been recognized that teacher education programme should be structured and modified in a way that enables them to respond dynamically to the new problems and challenges in the field of education, then only teacher can help in national development.
Plagiarism Detection Technique using www and Wordnet

Plagiarism is an act of using another person’s words, idea or information without giving credit to that person and presenting them as your own. With the development of the technologies in recent years, the act of Plagiarism increases significantly. But luckily the plagiarism detection techniques are available and they are improving day by day to detect the attempts of plagiarizing the content in education. The software like Turnitin, iThenticate or SafeAssign is available in the markets that are doing a great job in this context. But the problem is not fully solved yet. These software(s) still doesn’t detect the rephrasing of statements of another writer in other words. This paper primarily focuses to detect the plagiarism in the suspicious document based on the meaning and linguistic variation of the content. The techniques used for this context is based on Natural language processing. In this Paper, we present how the semantic analysis and syntactic driven Parsing can be used to detect the plagiarism.
MOBILE WEB APPLICATION PURWOKERTO TRADITIONAL FOOD GAMECLASIFICATION USING MOBILENET V2

Indonesia is a large country where there are thousands of aspects of culture, language andtourism. All of these aspects are an identity for the Indonesian state and each region within it. Culinary is oneaspect that is included in the field of tourism. In Indonesia, each region has a special food that is an icon ofthe area. With so many foods from foreign countries entering Indonesia, this is feared will make the youngergeneration lose their identity about the regional heritage in special foods. Current technologicaldevelopments have become excellent in various fields to solve the challenges that exist in the surroundingenvironment, it does not rule out the possibility that technology can be used to preserve the special foods thatexist in each region. Based on the problems outlined above, this research will build a mobile web-basedapplication for the introduction of local specialties through imagery and implement computer vision tomobile devices with CNN MobileNet V2 architecture. In this study a mobile web application was producedthat was able to recognize Purwokerto's special foods that could be run well on various devices andoperating systems.
Examining the Role of Credit Volume on Economic Growth: The Case of Azerbaijan

Economic growth in the economy,can be measured by an increase in the amount of production and in national income for goods and services over time. Economic development can be defined as a process of structural change in economic, social, cultural and political areas as well as increase in the production and income in a country. However, it is clear that, the approaches which increase the quality of life of goods and services only enhance the quality of life. For this reason, examining the economic growth from environmental, social and economic point of view is vital in order to ensure the sustainability of development but this also requires the development of the concept of social and cultural aspects. In this study, the relationship between the domestic credit volume and the gross domestic product in the public and deposit banks were analyzed by using the quarterly data covering the periods of 2006-2017 for Azerbaijan. The reason for selection of 2006-2017 period is to release process of the New Azerbaijani Manat in the Republic of Azerbaijan in 2006. As a result of the analysis, it was concluded that each of them was first-order stationary series and there was no long-run relationship between them. Eventually, the result of Granger causality test which is applied for credit volume and economic growth, has a bidirectional causality relationship between two series.
Neural Twins Talk and Alternative Calculations

Inspired by how the human brain employs a higher number of neural pathways when describing a highly focused subject, we show that deep attentive models used for the main vision-language task of image captioning, could be extended to achieve better performance. Image captioning bridges a gap between computer vision and natural language processing. Automated image captioning is used as a tool to eliminate the need for human agent for creating descriptive captions for unseen images.Automated image captioning is challenging and yet interesting. One reason is that AI based systems capable of generating sentences that describe an input image could be used in a wide variety of tasks beyond generating captions for unseen images found on web or uploaded to social media. For example, in biology and medical sciences, these systems could provide researchers and physicians with a brief linguistic description of relevant images, potentially expediting their work.
Provable Hierarchical Imitation Learning via EM

Due to recent empirical successes, the options framework for hierarchical reinforcement learning is gaining increasing popularity. Rather than learning from rewards which suffers from the curse of dimensionality, we consider learning an options-type hierarchical policy from expert demonstrations. Such a problem is referred to as hierarchical imitation learning. Converting this problem to parameter inference in a latent variable model, we theoretically characterize the EM approach proposed by Daniel et al. (2016). The population level algorithm is analyzed as an intermediate step, which is nontrivial due to the samples being correlated. If the expert policy can be parameterized by a variant of the options framework, then under regularity conditions, we prove that the proposed algorithm converges with high probability to a norm ball around the true parameter. To our knowledge, this is the first performance guarantee for an hierarchical imitation learning algorithm that only observes primitive state-action pairs.
Implementing A Problem Based Learning/PBL Method to Improve Students’ Speaking Skill in In-Flight English Class

This study purposes to find out the development of learners’ speaking skill after implementing Problem-Based Learning for the INITIAL flight attendant learners in Garuda Indonesia Training Center, Cengkareng Jakarta Barat. Whereas speaking skill is the most needed skill in Inflight English, therefore it is challenging to find out the most effective technique to improve it. PBL proposed by Barrow (1996) becomes the preference to be implemented. Barrow’s seven steps are then used as steps in implementing the PBL: defining problems, working in a small group, analyzing the problems, doing the brain storming, learning independently and practicing the dialogue regularly. Problems which are consider as the trigger of learning are gathered by interviewing the senior Garuda Indonesia flight attendants. The sample was selected by using simple random sampling and 24 initial flight attendant learners were chosen as the sample. The data were collected from the interviews and observations then analyzed using qualitative data analysis. The result shows that learners’ speaking skills related to conceptual, lexical, syntactical, phonological, politeness and body language, had improved significantly, especially in the term of syntactical. Therefore, it can be concluded that learners’ speaking skills improve significantly after implementing the PBL or we may says that PBL might support the existing theory on teaching speaking for English for in-flight context.
Neologisms: A Morphological Analysis of Social Media Discourses on the Zambian Online Media

Drawing on lexical morphology, the study discursively interrogates the outcome lexical items of the social media discourses and self-asserting narratives. An attempt is made to discursively examine the interplay between technology and grammar. The point of departure is the interplay between technology and word formation processes in establishing whether these outcome lexical items can be placed within the known word formation processes aptly discussed in morphology or form their own morphological categories. Although a lot of literature exists on social media discourse in general, little is known on the morphological outcomes arising from the transformative nature of technology on language. The study takes the view that, new words have been coined with time and social media neologisms should be seen as an outcome of the creativity of language as well as its productivity. The study problematizes lexical morphology in the broader context of media affordances in which creativity and self-asserting narratives drive and dominate the performativity of identity and communication on social media. The premise of the theoretical concerns is on three separate components: the Word Formation Rules, the filter and the mental lexicon. The paper takes the view that, even though most social media users may not be fully informed about the word formation processes which morphologists put forth, the shared sociocultural knowledge with which these actors come to virtual spaces is sufficient to productively transform the virtual-scape linguistically. To this end, the study shows that, though some of the neologisms created on social media conform to Word Formation Rules, others are created by ‘pseudo’ word formation processes.
The Successful use of Volunteers to Enhance NHS Test and Trace Contact Tracing of In-Patients with COVID-19: A Pilot Study

Contact tracing in the UK for COVID-19 is performed by NHS Test and Trace (NHSTT) via telephone or email. This study estimates how many patients who have been admitted to hospital are not reached by NHSTT and the number of their contacts who were not advised to self-isolate. Medical Student volunteers conducted face to face interviews with patients diagnosed with COVID-19 on an infectious diseases ward. Data on their close contacts were sent to NHSTT. 20 cases were enrolled, 13(65%) did not engage with NHSTT, 4(20%) because they had no positive PCR, 9(45%) because of severity of illness, language or intellectual difficulties. 49 close contacts were identified of whom 33(67%) were from cases who had not engaged with NHSTT. “Backwards” contacts tracing information was collected from 11(55%) cases and 8(40%) gave detailed information. These data suggest that NHSTT fails to engage nearly two thirds of COVID-19 in-patients and fails to advise two thirds of their close contacts to self-isolate. Volunteers used face to face interviews to overcome false negative tests, illness and communication problems to identify both close contacts and data on sources of infection.
THE CHALLENGES OF THE TECHNOLOGY 4.0 AND INFORMATION TECHNOLOGY WITHIN TOTAL WAR STRATEGY STRUCTURE

&lt;p class="Els-history-head"&gt;The development of information technology has a significant impact on various important aspects of life. Apart from positive impacts, there are also negative impacts that are important to know and anticipate to prevent major damage and losses. On a broad scale, namely at the national level, the development of information technology can also affect the development of national defense as it is known that the nature of Indonesia's defense is total defense, which is prepared to face the total war. Based on the explanation above, the purpose of this &lt;em&gt;study&lt;/em&gt; is to examine the impact of the development of information technology on the implementation of Indonesia's total war strategy. The approach used is qualitative phenomenology with research data in the form of secondary data collected using literature studies. The data is then analyzed using qualitative analysis techniques. The results of the study indicate that the development of information technology has both positive and negative impacts. These impacts encourage the need for changes and adjustments to the total war strategy implemented by Indonesia. This is important to do so that Indonesia can have a stronger defense in preparation for a total war that may occur in the future.&lt;/p&gt;
Decision Support System for Diagnose Hepatitis Type using Expert System Method

In the medical world, there are five types of Hepatitis, namely Hepatitis A, B, C, D, and E. However, the five types of hepatitis have similar symptoms, including yellowing of the skin color, yellowing of the eyeball, loss of appetite, etc. Thus, many of the Medical Personnel often misdiagnose the patient for the type of hepatitis or not suffer from hepatitis.Therefore, previous diagnostic data ware collected from Medical Specialists which will be processed and developed into the Java-based Decision Support System Application with Expert System method with the percentage output of the likelihood of patients from each type of hepatitis along with the possibility of patients not suffering from hepatitis.With the output of this application, the percentage of the possibility of each type of hepatitis or the possibility of not suffering from hepatitis can help Medical Personnel to make diagnostic decisions based on alternatives provided by the application.
An iterative defogging algorithm based on pixel-level atmospheric light map

Most defogging algorithms often lead to the problem of sky oversaturation and non-sky brightness. In order to solve these problems, a dark channel iterative demisting algorithm based on pixel level atmospheric light map is proposed in this paper. Firstly, the algorithm in this paper obtains a pixel-level atmospheric light map based on the model of the relationship between fog density and depth of field. Secondly, the algorithm uses an iterative defogging method to control the optimal defogging degree, thereby restoring high-quality defogging images. The experimental results show that the image obtained by the algorithm in this paper is not only high in definition but also real-time, and the problems of sky oversaturation and non-sky brightness are effectively solved.
A proposed approach for Digital Identity management using Self Sovereign Identity

Identity of a virtual entity must be as secure just like it is in the real world. These virtual entities are thenumerous users who access the internet-based services. These services always need some digital identication tocomply with the user's request. More number of users are opting for online services daily for variety of applications.The existing digital identity management systems take care of this process. A single sign on identity managementsystem allows same credential to access dierent systems whereas user centric where the user's identication isstored on a secured device owned by the user. But none of the systems are giving user, the complete control of theirdigital identity. Self-sovereign identity management system is one of the promising identity management systemwhich will make the user, the complete owner of his identity by eliminating the centralized approach of managingthe identity. This paper gives an overview of existing identity management systems based on self-sovereign identityand a proposed approach for secure identity management using self-sovereign identity management system.
Twitter Sentiment Analysis of Mobile Reviews using kernelized SVM

Sentiment analysis is a technique of analysing the opinions commented in social media on various topics. There are few ways the sentiment analysis can be done. Machine learning plays a crucial role for analysing the opinions and reviews. Mobile related tweets have been scraped from twitter. Noise on the tweets has been removed using pre-processing and feature vectors were created. Support Vector Machine has been used to classify the reviews as either positive or negative. 4 cross validation technique were used to bring out the better accuracy. 3 different sizes of dataset with iphone11 reviews have been used for training and testing with different kernels of SVM. RBF kernel is found to be working better for classifying the tweets but at the same time it has been found that the accuracy decreases when the data grow bigger.