Reviewerly/exHarmony huggingface dataset:
Clone Detection Techniques for JavaScript and Language Independence: Review

Code clone detection is an active field of study in computer science.Despite its rich history, it lacks focus on web scripting languages.Due to the expansion of web applications and web development amongst developers of varying education and experience levels, they inevitably resort to cloning through out the web.The spread of code clones is further increased by websites like StackOverflow and GitHub.In this paper, we will be focusing on clone detection research done to target clones in JavaScript code and discuss its areas of concern.Also, we will summarize language independent research done and possibility of its application on JavaScript and web applications.
USING SONG AS A MEDIA IN TEACHING VOCABULARY TO YOUNG LEARNERS BASED ON TOTAL PHYSICAL RESPONSE (TPR) METHOD

The title of this study is Using Song as a Media in Teaching Vocabulary to Young Learners Based on Total Physical Response (TPR) Method. It was aimed at investigating the students’ responses related to the use of song in total physical response method during the teaching of vocabulary, and the difficulties faced by the students when using song in total physical response method in vocabulary class. This research utilized qualitative method by involving classroom action research. The participant of this study is one class of elementary school students in Bandung. The data were acquired through classroom observation and interview. The data from classroom observation were acquired from video recording, teacher’s field notes, and students’ checklist during the learning activity, and the analysis were explained in descriptive form. The data collected from interview were transcribed into the written data. It was analyzed and summarized then presented in descriptive explanation. The findings of this study showed students’ positive response toward this method. The students showed their enthusiast and attractiveness to the activity, they are also motivated and engaged easily to the learning process. As a result, it can be said that the use of song in total physical response method is an effective way for teaching vocabulary to young learners.
Encryption and Decryption Analysis of Non – Stationary image Using Canonical Transforms with Scrambling Technique

Data security is a prime objective of various researchers & organizations. Because we have to send the data from one end to another end so it is very much important for the sender that the information will reach to the authorized receiver & with minimum loss in the original data. Data security is required in various fields like banking, defence, medical etc. So our objective here is that how to secure the data. So for this purpose we have to use encryption schemes. Encryption is basically used to secure the data or information which we have to transmit or to store. Various methods for the encryption are provided by various researchers. Some of the methods are based on the random keys & some are based on the scrambling scheme. Chaotic map, logistic map, Fourier transform & Fractional Fourier transform etc. are widely used for the encryption process. Now day’s image encryption method is very popular for the encryption scheme. The information is encrypted in the form of image. The encryption is done in a format so no one can read that image. Only the person who are authenticated or have authentication keys can only read that data or information. So this work is based on the same fundamental concept. Here we use Linear Canonical Transform for the encryption process. Data encryption technology is used to benefit protection against loss, exploitation or afilteration of private information. As a result of this approach for the validation Mean Square Error (MSE) & Correlation Coefficients (CC) measured. Robustness & imperceptibility of non-stationary images can be improved by using the proposed technique.
Hybrid-Parallel Parameter Estimation for Frequentist and Bayesian Models

Author(s): Raman, Parameswaran | Advisor(s): S.V.N., Vishwanathan | Abstract: Distributed algorithms in machine learning follow two main flavors: horizontal partitioning, where the data is distributed across multiple slaves and vertical partitioning, where the model parameters are partitioned across multiple machines. The main drawback of the former strategy is that the model parameters need to be replicated on every machine. This is problematic when the number of parameters is very large, and hence cannot fit in a single machine. This drawback of the latter strategy is that the data needs to be replicated on each machine, thus failing to scale to massive datasets.The goal of this thesis is to achieve the best of both worlds by partitioning both - the data as well as the model parameters, thus enabling the training of more sophisticated models on massive datasets. In order to do so, we exploit a structure that is observed in several machine learning models, which we term as \textit{Double-Separability}. Double-Separability basically means that the objective function of the model can be decomposed into independent sub-functions which can be computed independently. For distributed machine learning, this implies that both data and model parameters can partitioned across machines and stochastic updates for parameters can be carried out independently and without any locking. Furthermore, double-separability naturally lends itself to developing efficient asynchronous algorithms which enable computation and communication to happen in parallel, offering further speedup. Some machine learning models such as Matrix Factorization directly exhibit double-separability in their objective function, however the majority of models do not. My work explores techniques to reformulate the objective function of such models to cast them into double-separable form. Often this involves introducing additional auxiliary variables that have nice interpretations. In this direction, I have developed Hybrid Parallel algorithms for machine learning tasks that include {\it Latent Collaborative Retrieval}, {\it Multinomial Logistic Regression}, {\it Variational Inference for Mixture of Exponential Families} and {\it Factorization Machines}. The software resulting from this work are available for public use under an open-source license.
The Blockchain Technology: A new development paradigm? Implications for finance, corruption and voter fraud.: Implications for finance, corruption and voter fraud.

Blockchain technology is not an easy concept to grasp. Essentially, Blockchain technology is difficult due to the “simple” fact that its complexity is what makes it unique. It is essentially the largest consensus algorithm on the planet and it is at work right now. However, this complexity does not understate the urgency of being able to understand how Blockchain can fundamentally alter the political, social and economic landscape. This paper surveyed the social and economic implications of Blockchain technology on finance, fraud and social corruption, while providing proof of concept real use cases being enforced today.Technology poses problems since not all users are familiar or comfortable with its application. However, the blockchain technology can be implemented on the back-end for security and transparency purposes while maintaining simplicity and ease of use on the front-end for users. The cost-benefit analysis is made clear that Nations must seek a first mover advantage.
Non-restrictive state reduction and analytical bounds in a multipartite device-independent scenario

Multiparty quantum cryptography based on distributed entanglement will find its natural application in the upcoming quantum networks. The security of many multipartite device-independent (DI) protocols, such as DI conference key agreement, relies on bounding the von Neumann entropy of the parties' outcomes conditioned on the eavesdropper's information, given the violation of a multipartite Bell inequality. We consider three parties testing the Mermin-Ardehali-Belinskii-Klyshko (MABK) inequality and certify the privacy of their outcomes by bounding the conditional entropy of a single party's outcome and the joint conditional entropy of two parties' outcomes. From the former bound, we show that genuine multipartite entanglement is necessary to certify the privacy of a party's outcome, while the latter significantly improve previous results. We obtain the entropy bounds thanks to two general results of independent interest. The first one drastically simplifies the quantum setup of an $N$-partite Bell scenario. The second one provides an upper bound on the violation of the MABK inequality by an arbitrary $N$-qubit state, as a function of the state's parameters.
Design of Optimal Fuzzy Controllers for Autonomous Mobile Robots Using the Grey Wolf Algorithm.

Through the advance of technology, every day new methods or computational techniques emerge that allow us to solve problems in different areas, such as medicine, engineering, even in any industrial process. Optimization is of vital importance in this industry, the main objective being to find the best possible solution to the problem. In this work we propose to use the Grey Wolf Optimizer (GWO), which is a metaheuristic inspired by the hunting behavior and leadership hierarchy of grey wolves, in addition to analyzing and explaining the proposed methodology for the optimization of fuzzy controllers for mobile autonomous robots.
LibGuides: General Information Management: Videos

This guide is for the NCU specialization General Information Management. It contains resources available in the NCU Library.
LibGuides: LSC 596- School Library Media Seminar : Activity Log

This professional portfolio highlights my work for the culminating seminar and practicum for k-12 Library Media certification in Rhode Island.
Naturalism and Kantianism

An article by T. Rockmore, published in the journal “Epistemology and Philosophy of Science” in 2009 (Vol. XXII. No. 4, pp. 14‒29), claim that naturalism is by its nature an example of anti-Kantianism, for it treats philosophy as a continuation science and recognizes science as a legitimate source of knowledge, does not allow a priori, relies on an a posteriori approach, empiricism in the pre-Kantian sense, and insists on the possibility of revising the knowledge acquired. This article has a goal to show that T. Rockmore point of view should be revised due to the progress of modern cognitive research and, first of all, neuroscience, in which all the features of the naturalistic approach are implemented and in which the “Kantian program” of brain research is developed. In the context of this program, the existence on the ontological level (i.e., in the brain) of certain neural structures that make it possible and play a crucial role in the cognitive activity of a person is recognized. Those concepts that Kant treated as components of cognitive activity in modern neuroscience acquired ontological status in the form of the activity of certain neural structures, which turn out to be prerequisites and components of this activity. We claim that in the context of the Kantian research program in neuroscience, the metaphor “Kantian brain” naturally entered the vocabulary of neuroscientists, and certain specific operations and functions of the brain began to be associated with individual elements of Kant's ideas. It is in this context attempts are made to comprehend the mechanisms of the brain in the “stimulus – activity” mode, when an external effect leads to the excitation of certain neural structures. The brain is capable to anticipate the long-term results of certain actions of the subject. In the case of foresight, the brain generates “internal” models and uses for their correction external data that constantly provided from reality across the subject. At the same time, some kind of self-correcting mechanisms implements, which from a formal point of view described by the Bayes theorem, using a priori evaluations of upcoming events and changes in these evaluations as result of experience. Thus, naturalism and Kantianism understood in the context of the progress of modern science, despite T. Rockmore idea, are completely compatible.
Sitting with Hakken

The Interactions website (interactions.acm.org) hosts a stable of bloggers who share insights and observations on HCI, often challenging current practices. Each issue we'll publish selected posts from some of the leading and emerging voices in the field.
The Use of Charades Game to Improve Students` Vocabulary Mastery

This research is intended to find out the effectiveness of using charades game in improving the  students` mastery of English vocabulary. The experimental research was used in this research. The subjects of this research were conducted at second grade of SMAN 1 Kreung Barona Jaya. There are two classes namely experimental class and control class. The experimental class ( XI-MIA 1) consisted of 31 students and the control class (XI-MIA 2) consisted of 30 students. The researcher used pre-test, post-test and also questionnaire to collect the data. The result of pre-test showed the mean score in experimental class is 61,94, while the mean score of control class is 59. After the treatment, the mean score of the post-test in experimental class is 71,14 and the mean score of control class is 67. It means that the mean score of vocabulary mastery test of experimental score is higher than the mean score of control class. So, it can be stated that the use of Charades game has a good effect on students` vocabulary mastery.
LibGuides: Affordable Textbooks: Communicate

This guide is an extension of the Finding Affordable Textbooks workshop. Use it to find places to search for texts and instructions on how to report your text choices and integrate this into your course.
ANALISIS KESALAHAN PELAFALAN BAHASA MANDARIN PEMELAJAR INDONESIA

In the process of learning a second language, learners from different countries always has different mispronunciation, but the learners from the same country sometimes showing a common mispronunciation. As an Indonesian Chinese language learners, in my own and others learners’ learning Chinese language process, I found that Indonesian learners has common mispronunciation in pronouncing j, q, x, z, c, s and zh, ch, sh. In this paper, writer will design a survey papers to survey intermediate and advanced Indonesian students j, q, x, z, c, s and zh, ch, sh mispronunciation problem, with detailed statistics and analysis of the survey data, hope that this paper able to find out Indonesian learners mispronunciation problem and find out some pronunciation teaching strategies for teaching Indonesian learners.
LibGuides: Guide to Staying Home: DIY

This guide includes resources provided or recommended by the Kraemer Family Library for making the most of UCCS's remote learning period.
The Effect of Directed Reading Thinking Activity (DRTA) towards the Ability of Reading Understanding of Intellectual Disability Students in SDLB

Barriers in the cognitive processes stages make intellectual disability students have problems in reading comprehension. Directed Reading Thinking Activity (DRTA) which demands student activity during the learning process can be a solution to overcome the problem of the students’ reading understanding. The purpose of this study is to describe the effect of the DRTA usage towards the reading comprehension ability of intellectual disability students in SDLB. The method used is a quasi experiment with times series design. The results showed a significant increase (comparing mean pre-test = 69.4 and post-test value = 87), while significance value (2-tailed) was less than α. In conclusion, the use of DRTA has an effect on the reading comprehension of the intellectual disability students in SDLB.
Assignment Algorithms for Variable Robot Formations

This paper describes algorithms to perform optimal assignment of teams of robots translating in the plane from an initial formation to a variable goal formation. We consider the case when each robot is to be assigned a goal position, the individual robots are interchangeable, and the goal formation can be scaled or translated.We compute the costs for all candidate pairs of initial, goal robot assignments as functions of the parameters of the goal formation, and partition the parameter space into equivalence classes invariant to the cost order using computational geometry techniques. We compute a minimum completion time assignment for an equivalence class by formulating it as a linear bottleneck assignment problem (LBAP). To improve efficiency, we solve the LBAP problem for each equivalence class by incrementally updating the solution as the formation parameters are varied. This work is motivated by applications that include the motion of droplet formations in digital microfluidic lab-on-a-chip devices, and of robot and drone formations in the plane.
Structured Standardization Method for Intelligent Review of Material Procurement Plan

At present, a large number of power companies use ERP systems to fine-tune enterprises, and the application of information systems has effectively improved the standardization and standardization of enterprise management, which is conducive to the overall advantages of enterprises. In the management of material procurement planning, material procurement planning review is a complex and important task. Each batch needs to be reviewed on a case-by-case basis according to the requirements of the State Grid Corporation and the Provincial company. The material information is complex and complex, for example. Material, delivery method, delivery time, budget estimate, technical specification status, project name, the material code ID, where planned quantity, curing ID, technical specification time, plan, etc. This paper conducts a detailed study and review of the current status of procurement planning review. On This basis, it proposes a structured and standardized method for intelligent review of material procurement planning. Through the refinement of structural review points and review rules, the whole process of material procurement planning review is online. The Management and the key points automatic review technology, seamless docking, sharing procurement plan declaration data, Enabling experts to shift from repetitive mechanical labor to focus on reviewing key parts and enabling turning manual work into machine work. Avoiding data crossover and auditing data. It is not easy to manage, and It is little the timeliness, Accuracy and standardization of procurement planning from multiple dimensions such as audit efficiency, audit quality and audit data management.
LibGuides: APA Referencing (APA 7th edition): Audiovisual material

This guide shows students and staff how to reference using the APA Referencing style. Film, TV, Video, Webinars, Streaming videos
Research Guides: Library Support for ENG102: Getting Started

This guide provides access to library resources used in ENG102 while in-person classroom instruction is suspended.
LibGuides: Fantastic Fairy Tales (PXES Grade 3, 2020): Home

A guide to the wonderful world of fairy tales, for Grade 3 students, teachers, and families. Especially designed for distance learning, this guide will engage and enchant our Grade 3 fairy tale readers and writers!
Library Guides: Chidren's Book & Teacher Online Resources: Online Children's Books

During the coronavirus shut-down, many publishers and educational organizations have exceptional online content for children, teachers, parents, and anyone interested in children's books.
EXPERIMENTAL STUDY AND ANALYSIS OF WOUNDED TYPE D.C. MOTOR WITH VARIABLE POWER SUPPLY

In this paper we are observed about maximum R.P.M. , in this way we are used the Wounded type D.C. Motor with Variable Voltage Power Supply and 1Amp.,2Amp., 3Amp. For the purpose of the finding of the variable voltages we are used the voltages regulator. The Wounded type D.C. Motor are used in various industrial application.
Region Based Image Compression with Deep Learning and Binary Plane Difference Methods

Image coding is treated as one of the important factor in multimedia communication and storage systems. In recent years with the rapid improvement in the usage of mobile internet there is a huge demand for faster transmission of the multimedia data. Medical image compression has received greater importance due to its heavy demand for decreasing its size without disturbing the quality of it. Binary plane technique has attained attention in recent time due to its capability of compressing the image both in lossy and lossless modes and achieving higher quality than existing JPEG and SPIHT methods. This paper presents an effective approach of extracting the region (ROI) and non-region (NROI) of interest from MR brain images and then compress the ROI in loss less mode and NROI in lossy mode.
Design of an image skeletonization based algorithm for overcrowd detection in smart building

Crowd analysis has found its significance in varied applications from security purposes to commercial use. This proposed algorithm aims at contour extraction from skeleton of the foreground image for identifying and counting people and for providing crowd alert in the given scene. The proposed algorithm is also compared with other conventional algorithms like HoG with SVM classifier, Haar cascade and Morphological Operator. Experimental results show that the proposed method aids better crowd analysis than the other three algorithms on varied datasets with varied illumination and varied concentration of people.
LibGuides: Remote Resources for Library Users : Taking Care of Yourself

Use this guide to access library resources and services off-campus to assist with your online courses.
LibGuides: Your Library @ Home!: Submit Your Own Work!

Digital access to everything that Huntington Beach Public Library has to offer you! Open call for submissions to the HBPL Quaranzine
Delineation of ore zones using the concentration-volume fractal method in the Dagh Dali Zn-Pb (±Au) prospect, north of Takab (Iran)

The Dagh Dali Zn-Pb (±Au) hydrothermal prospect is located in the north-west of Iran. Identification of mineralized zones is essential in ore deposit exploration. Different methods have been developed and applied to separate mineralized zones from barren host rocks based on mineralogical and petrographical studies, alteration and host rock changes as well as statistical and geostatistical parameters. This study uses the ordinary kriging technique and the concentration-volume fractal (C-V) method to model the ore body and recognize the ore grade distribution. These techniques were applied on the drillcore data and C-V fractal modelling, values of various ore zones being determined. Four breakpoints were found in the log-log plots which correspond to concentrations of 5.4, 10.5, and 17.8 wt.% Zn. The extractable ore zone for Zn is considered to be in the concentration range of 5.4 to 17.8 wt.%. Compared to the amount of reserve obtained from the geostatistical method (303,685 tons), it seems that the fractal method is more precise and accurate in the estimation of ore reserves.
IMAGE ENCRYCPTION AND DECRYPTION USING RANDOM IMAGE KEY

Internet plays an important role in circulating a huge amount of multimedia.To send an image over the network secretly, the sender tries to find encryption algorithm to hide image information. This project aims at designing an efficient encryption algorithm for color image using random image key generated with minimum time execution for encryption and decryption operations. XOR operation is used here to provide high level of security to the data.
A Qualitative Research of the Experience of the Trainer on the Character Education Program for Adolescents: Focused on the ‘Sim Sim Puli M3 (Meta-Mind Meditation)’

A Qualitative Research of the Experience of the Trainer on the Character Education Program for Adolescents : Focused on the ‘SimSimPuli M3 (Meta-Mind Meditation)’ - character education;mind practice;SimSim-Puri M3(Meta-Mind Meditation);character education program;religious character education