Reviewerly/exHarmony huggingface dataset:
Bag-of-Words and Region-Based Feature Representations in Object Categorization: A Comparative Study

The aim of object categorization is to find a given object in an image and the performance of object categorization heavily depends on the extracted features as the image descriptor.In the literature, feature representation can be broadly classified into block/region-based and bag-of-words (BoW) features.However, there is no a comparative study of using these different feature representations over different datasets and different image scales since the image sizes for object recognition are varying from different datasets.Our experimental results using the Corel and PASCAL datasets show that when images contain more complex scenes like Corel images, the block-based feature is a better choice.In addition, the larger the image scales, the better the recognition performance.On the contrary, when images contain fewer objects like PASCAL images, it is better to consider the region-based feature representation.Particularly, reducing the image scale does not degrade the recognition performance; it even shows some level of improvement.On the other hand, although the BoW feature does not perform better than the block/region based features, it shows stable performances over different datasets and different image scales.This indicates that when the chosen dataset contains a large amount of images having various types of contents, which is difficult to decide what features to be extracted, the BoW feature can be extracted as the baseline feature representation.
Image Encryption and Decryption Using Chua’s Circuits

In recent years, chaos studies have been developing tremendously. The importance of using chaos is its deterministic nature. Though the chaos is interpreted as random in nature but it is deterministic. This is a very useful aspect that can be used in encryption of signals. In this paper, the very well-known Chua’s circuit is used to generate random sequences based on initial conditions. These sequences are going to be used for encrypting and decrypting an image. The key is going to be encrypted using a function with a modulus operation then used as an initiation for Chua circuit. The output of Chua circuit is three arrays X, Y, and Z. The process can be divided into two steps. First, one of these sequences is going to be used to form 2D array and the other two sequences also form another 2D array where both have the same size. Then, it is going to be XORed with the image and then the rows and the columns are going to be swapped horizontally and vertically. Second, the other matrix coming from X-Y arrays after mod operation is going to be used as an index for the first processed image. Simulation results show that the scheme sensitivity and complexity to such factors. The importance of this method is that it has plenty of factors that can be unique during generating of these chaotic sequences which makes it very difficult to decrypt the message.
Speech Acts Analysis on Teaching and Learning Process Used by the Teacher in MAN 2 Mataram in Academic Year 2016-2017

This study was aimed at finding out Speech Acts Analysis on Teaching andLearning Process used by the Teacher in MAN 2 Mataram in Academic year 2016/2017. The method of this research is qualitative research The data of this research were the utterances performed by the Teachers of MAN 2 Mataram. The research instrument was the researcher himself. Participant is the subject from which the data obtained (Arikunto, 2010: 172)The Researcher’s participant actively classification speech act by the Teachers on teaching and learning process.T he instrument of data by using video camera and observation. To analyze the data Based on Louis (2005:181). This study used observation and video recording as an instrument of data collection, the researcher applied coding system. In this research, there are two validity principles applied by the researcher. The results of the research show that there are three classifications of speech act performed by the Teachers in the aching and learning process . The results of the research show that there are three classification of speech act performed by the Teachers in the aching and learning process. they are 4 data of locutionary act , 30 data of Illucotionary act, 7 data of Perlocutionary act . So the total of data were 41 data of speech act are used By the Teachers in MAN 2 Mataram.
The Use of Testing, Demonstrating, Practicing, and Revising (TDPR) Technique to Improve Students' Ability in Pronouncing Plosive Consonants

Testing, Demonstrating, Practicing and Revising (TDPR) technique is a technique which includes testing, demonstrating, practicing and revising activities to know and improve the students’ pronunciation ability. Deriving from the importance of pronunciation, the main purpose of the current study is to investigate the use of Testing, Demonstrating, Practicing and Revising (TDPR) technique to improve the students’ ability in pronouncing plosive consonants. Based on the purpose of the study, a series of classroom activities with TDPR technique was done. In gathering the data, the researcher applied a quasi-experimental research method. Pre-test and post-test were distributed to 72 students of SMKN 1 Praya Tengah. The result of the study has revealed that there was a significant difference between the mean of pre-test and the post-test, t-test 5.10 ˃ t-table 1.994, it means that the null hypothesis (Ho) is rejected meanwhile alternative hypothesis (Ha) is accepted. It proved that the TDPR technique can improve students’ ability in pronouncing plosive consonants.
THE ROLE OF READING ROOM AT PGSD UNIVERSITAS SEBELAS MARET IN SUPPORTING THESIS PROCESS FOR STUDENTS

&lt;p&gt;&lt;em&gt;The Reasearch aims to determine the role of Kebumen VI Campus PGSD reading room in supporting the thesis-making process. It uses qualitative methods with data collection techniques through interviews, observation and documentation studies. The results show that the PGSD reading room Campus VI kebumen is intended to provide facilities in the form of printed and non-printed literature, as well as clinic consultation on how to track journals subscribed by the UNS Library.&lt;/em&gt;&lt;/p&gt;
IMPLEMENTATION OF DBSCAN CLUSTERING ALGORITHM WITHIN THE FRAMEWORK OF THE OBJECTIVE CLUSTERING INDUCTIVE TECHNOLOGY BASED ON R AND KNIME TOOLS

Context. The problem of the data clustering within the framework of the objective clustering inductive technology is considered. Practical implementation of the obtained hybrid model based on the complex use of R and KNIME tools is performed. The object of the study is the hybrid model of the data clustering based on the complex use of both DBSCAN clustering algorithm and theobjective clustering inductive technology.Objective. The aim of the work is the creation of the hybrid model of the objective clustering based on DBSCAN clustering algorithm and its practical implementation on the basis of the complex use of both R and KNIME tools.Method. The inductive methods of complex systems modelling have been used as the basis to determine the optimal parameters of DBSCAN clustering algorithm within the framework of the objective clustering inductive technology. The practicalimplementation of this technology involves: the use of two equal power subsets, which contain the same quantity of pairwise similar objects; calculation of the internal and the external clustering quality criteria; calculation of the complex balance criterion, maximum value of which corresponds to the best clustering in terms of the used criteria. Implementation of this process involves two mainstages. Firstly, the optimal values of the EPS parameter were determined at each step within the range of the minPts value changes. The charts of the complex balance criterion versus the EPS value were obtained for each minPts value as the results of this stage implementation. Then, the analysis of the obtained intermediate results was performed in order to determine the optimal solution,which corresponds to both the maximum value of the complex balance criterion on the one side and the aims of the current clustering on the other side.Results. The developed hybrid model has been implemented based on software KNIME with the use of plugins, which have beenwritten in software R. The efficiency of the model was tasted with the use of the different data: low dimensional data of the computing school of East Finland University; Fisher’s iris; gene expression profiles of the patients, which were investigated on lung cancer.Conclusions. The results of the simulation have shown high efficiency of the proposed method. The studied objects were distributed into clusters correctly in all cases. The proposed method allows us to decrease the reproducibility error, since the solution concerning determination of the clustering algorithm optimal parameters was taken based on both the clustering results obtained onequal power subsets separately and the difference of the clustering results obtained on the two equal power subsets.
An Analysis of Students' Ability in Distinguishing Lexical and Structural Ambiguity in English Sentences at Second Grade of SMA 1 Labuapi in the Academic Year 2016-2017

Ambiguity is the property of having two or more distinct meanings or interpretations. Sometimes we found many ambiguities sentences when we are reading or listen to the English sentences. A word or sentence is ambiguous if it can be interpreted in more than one way. The problem stated in this study is: How is the students’ ability in distinguishing lexical and structural ambiguity in English sentences? The purpose of this study is to investigate the students’ ability in distinguishing lexical and structural ambiguity in English sentences at second grade of SMAN 1 Labuapi in academic year 2016/2017. This study used a descriptive qualitative approach. The writer used purposive sampling for taking the sample, namely class IPA 2 which consists of 22 students. The data were collected by a gap-filling test for lexical ambiguity word class of noun and label for structural ambiguity. The results of the research demonstrate that the students of SMAN 1 Labuapi were categorized into a very poor with the average score was 4.450. The writer illustrates the analysis result in the percentage of all test’s items in simple sentences, there were 890 ambiguous words and phrase. Lexical ambiguity involves noun (150) and structural ambiguity involve noun phrase (30). Finally, based on the research findings, the writer concluded that more than a half of students at the second grade of SMAN 1 Labuapi had very poor abilities in distinguishing lexical and structural ambiguity in English sentences.
Efficient Removal of Noise from Image using Non-Linear Filtering

An image may contain different types of information related to parameters such as colour and brightness, the irregular variation of which leads to noise in an image.Images often get corrupted by different kind of noise such as Impulse, Gaussian and Salt-and-Pepper Noise, during image acquisition or transmission caused by the digital sensor attempting to record/capture tiny amount of light.Since an image appears in multiple resolutions in different forms, an image can be segmented into different classifying features.As a result, signal and noise can be separated and elimination of noise becomes easier.In this article, a non-linear median filter is preferred, which is found to be useful in reducing not only Impulse Noise but also Gaussian and Speckle Noise.The corresponding analyses are performed on grayscale images, where the results obtained through non-linear filtering are superior to results obtained using Average, Gaussian and Weiner filters.
Performance and Evaluation of Various Radiation Based Models for Semi-arid Region

This study aimed to Performance of seven radiation models.The objective was to determine the most accurate model for estimating solar radiation.Performance and Evaluation of all the models on the same basis is prerequisite for selecting an alternative approach in accordance with available data such as air temperature (Tmax, Tmin, Tmean), actual sunshine hours (n), Relative Humidity (Rhmax, Rhmin & RHmean) and potential sunshine hours (N).Therefore, recommended Angstrom-Prescott (A-P) model locally calibrated A-P model, Dogniaux-Lemoine (D-L) model, Glower-Meculloch model, Hargreaves-Samani model (1985),Chen et al. ( 2004), Ertekin and Yaldiz (1999) and Almorox -Hontoria (2004) radiation based model were used to estimate monthly solar radiation (Rs) at Udaipur(Rajasthan), India.Further, the performance of all these methods were evaluated by regression and error analysis between standard Rs derived using FAO recommended Angstrom-Prescott (A-P) model and Rs values estimated using all the six models, on monthly basis.On monthly basis, Glower-Meculloch model performed best with highest coefficient of determination (1.00) and lowest Root mean square error (0.9089) MJ m -2 day -1 .Based on overall results it was concluded that the radiation based model provides average monthly accurate estimate of solar radiation compared to other models.
MODELING OF PROTOTYPE PARAMETERS IN MANAGEMENT OF IT PROJECTS

The analysis of methods and techniques for managing the creation of open source software has been carried out, the shortcomings of the design of open source software products and ways to eliminate them have been identified. A model for the life cycle of open source software projects has been developed. Proposed process of analog modeling for the creation of IT projects. The methodology is based on the simi-larity theory, mathematical statistics, mathematical modeling, system analysis, the use of computer systems and modern software systems. To apply it, the project’s belonging to a certain class is determined in advance and verified by the methods of system analysis of project risks for the selected life cycle. The rationale for the application of the model is based on an improved method for analyzing characteristic categories. Analog modeling includes determining a set of indicators that determine the state of a software system, choosing a system of units of measurement and setting dimensions, determining components and indicators of degrees ofan equation criterion. From the equation of the criterion, time is determined for prototyping open source projects. The methodology is theoretically justified and allows you to predict the time and cost of a future project in the early stages of creating IT projects. The method was tested on completed projects and shows a high percentage of reliability. Can be used to create new IT projects of different classes. The practical value of the results of work and their practical use is determined by using the developed methodology as the basis of knowledge in the management of open source software projects.
Data Mining and Social Web Semantics

Hashtags, initially presented in Twitter, are currently turning into the most utilized approach to label short messages in informal organizations since this encourages ensuing pursuit, characterization and bunching over those messages. In any case, separating data from hashtags is troublesome on the grounds that their creation isn't compelled by any (phonetic) standard and they normally show up in short and ineffectively composed messages which are hard to break down with exemplary IR procedures. In this task we address two testing issues with respect to the significance of hashtags— in particular, hashtag relatedness and hashtag characterization — and we give two principle commitments. First we manufacture a novel diagram upon hashtags and (Wikipedia) elements drawn from the tweets by methods for subject annotators, (for example, TagME); this chart will enable us to show in a solid way great co-events as well as semantic relatedness among hashtags and elements, or between substances themselves. In light of this diagram, we plan calculations that fundamentally improve best in class results upon known freely accessible datasets. The second commitment is the development and the open discharge to the examination network of two new datasets: the previous is another dataset for hashtag relatedness, the last is a dataset for hashtag characterization that is up to two requests of greatness bigger than the current ones. These datasets will be utilized to demonstrate the power and adequacy of our methodologies, appearing in F1 up to two-digits in rate (outright).
IMPLEMENTASI RAPID APPLICATION DEVELOPMENT SISTEM INFORMASI PENDIDIKAN SMA DALAM MENGHADAPI INDUSTRI 4.0

The development of human resources focused on STEAM (Science, Technology, Engineering, and Mathematics) in the face of industry 4.0 in the high school education system must be prepared and adaptive to readiness and ability to integrate well with 4.0 technology, especially device infrastructure. hard, internet network and information system management. Rapid Application Development (RAD) is a method used to design and modify educational information systems in order to adapt and collaborate with 4.0 technologies such as Machine Learning, Artificial Intelligent, Biometric, User Behavior, Social Media API and Collaboration, and so on.
AN EFFICIENT IMPLEMENTATION OF AES ON FPGA FOR PROTECTION OF IOT DATA

The Internet of Things the internet connectivity of various devices like desktop and laptop computers, smart phones and everyday things that utilize embedded technology to interact with the environment, all through the Internet.Encryption for protection or security of IOT Data can be done with the help of IP address which is through the internet connectivity which forms a network of physical objects. The interaction that is established between the objects and different internet enabled devices in a given area.The encryption and decryption is been carried out on Field Programmable Gate Array (FPGA) to make the system independent cryptosystem. The proposed design on Xilinx, and is verified the result using the synthesis tool of Xilinx ISE-Design software. The encryption and decryption is being done on VHDL. In this era where the whole world are been connected to each other by the means of communication where internet plays a very important role and where Data security is also very important in this paper we present a algorithm for security of data from different attacks with the help of AES (Advanced Encryption Standard).In this algorithm where we are using the symmetric key block cipher where the key would be given same with respect to encryption. Many applications it can be used as it is lossless operation. We limit our focus on 12b8 bit AES encryption and decryption where coded in VHDL coding. The proposed paper describes the private key cryptosystems which has a key with fixed size.
Information and communication technologies in higher educational staff

The article reveals the problems of integration of information and communication technology training. It covers technologies and methods used in the formation of the communicative competence of students. This process is complex and multifaceted phenomenon very different depending on the institution. Of great importance is that industry professionals which we are preparing. This in turn determines the approach and the principles on which the process of communicative competence of the future experts by means of information and communication technologies. We counted the number of allocated enough time for a thorough and efficient formation of communicative skills. We also think of communicative competence as system components are inextricably linked to effective formation of communicative competence of future specialists and teaching methods that integrate data with training. Described principles of creation and training, which are the basis of communicative competence of students. Dedicated general principles governing the specific methods of education high school students. There are different approaches to training of communicative competence of future professionals. The best is the subject-activity approach. It requires a change in the essence of the educational process and puts at the center of a person who qualifies. Analysis of communicative competence and dedicated general principles governing the specific methods of education high school students. These principles are well described in the article. Also mentioned conditions based on which the process of formation of communicative competence of students. They play an important role in this study. By means of ICT related training resources on the internet, computer training and telecommunications, so they play the principal place of learning. Also noteworthy is a large so-called contextual learning technology, which is based on modeling future careers professionals that promotes communication skills and motivating students. Since the issue of communicative competence is very important today, the more scientists involved in this problem. The article contains a number of scientists who study, analyze and provide practical advice on the problem of communicative competence. However, the changes invent new hardware, and this leads to search for new mechanisms that may influence the communicative competence. So the question will always be open.
PROBLEM STATEMENTS OF DATA PROCESSING BASED ON CRITERION OF MINIMUM EXTENT

Context. In order to process the data containing anomalous values as well as to obtain the sparse solutions or solutions with small extent, the requirement to minimize the extent of the function used to find solution can be used. In this paper the object of the study is the process of setting the data processing problems on the basis of this requirement, which is further referred to as the criterion of minimum extent.Objective. The goal of this work is the development of an approach to the formulation of the data processing problems based on criterion of minimum extent. Method. On the basis of minimum extent criterion, a new approach is proposed. This approach allows to formulate the data approximation problem as well as the inverse problem with a direct linear operator and with a solution of small extent or with a sparse solution in conditions that the initial data contain noise and anomalous values. The statement of the approximation problem is obtainedby setting a parametric data model and applying the criterion of minimum extent to the solution residual. The statement of the inverse problem is obtained by applying the criterion of minimum extent to the solution of the problem and to the solution residual. The special cases of this statement are presented and it is noted that this statement generalizes the statement of the Tikhonov regularizationproblem. The proposed problem statements are formulated as minimization problems for the corresponding functionals constructed on the basis of the “superset” of cost functions. In the general case, the indicated functionals are neither convex nor unimodal, and their minimization can be a laborious task.Results. The proposed problem statements generalize those that are performed on the basis of the least squares criterion and/or least modules criterion. Numerical simulation of the problem of approximation by a linear function of noisy data in the presence of impulsive noise, as well as in the presence of an interfering fragment of exponential function, confirmed the feasibility of the proposed statement and its effectiveness. Numerical simulation of the inverse problem, corresponded to the overdetermined system of linear algebraic equations with gross errors in its right-hand side and sparse solution, also confirmed the feasibility of using the criterionof minimum extent for its formulation.Conclusions. The problem statement of data processing which is based on the criterion of minimum extent is expedient under conditions when the part of the data is roughly distorted and/or when the desired solution has a small extent. The statements based on the criterion of minimum extent allow us to expand the range of the problems to be solved.