Reviewerly/exHarmony huggingface dataset:
Research on Noise Reduction and Enhancement Algorithm of Girth Weld Image

In order to eliminate the salt pepper and Gaussian mixed noise in X-ray weld image, the extreme value characteristics of salt and pepper noise are used to separate the mixed noise, and the non local mean filtering algorithm is used to denoise it. Because the smoothness of the exponential weighted kernel function is too large, it is easy to cause the image details fuzzy, so the cosine coefficient based on the function is adopted. An improved non local mean image denoising algorithm is designed by using weighted Gaussian kernel function. The experimental results show that the new algorithm reduces the noise and retains the details of the original image, and the peak signal-to-noise ratio is increased by 1.5 dB. An adaptive salt and pepper noise elimination algorithm is proposed, which can automatically adjust the filtering window to identify the noise probability. Firstly, the median filter is applied to the image, and the filtering results are compared with the pre filtering results to get the noise points. Then the weighted average of the middle three groups of data under each filtering window is used to estimate the image noise probability. Before filtering, the obvious noise points are removed by threshold method, and then the central pixel is estimated by the reciprocal square of the distance from the center pixel of the window. Finally, according to Takagi Sugeno (T-S) fuzzy rules, the output estimates of different models are fused by using noise probability. Experimental results show that the algorithm has the ability of automatic noise estimation and adaptive window adjustment. After filtering, the standard mean square deviation can be reduced by more than 20%, and the speed can be increased more than twice. In the enhancement part, a nonlinear image enhancement method is proposed, which can adjust the parameters adaptively and enhance the weld area automatically instead of the background area. The enhancement effect achieves the best personal visual effect. Compared with the traditional method, the enhancement effect is better and more in line with the needs of industrial field.
Writing Sonic Fictions: Literature as a Portal into the Possibility of Art Research

This text writes a short deliberation on the potential of literary writing and literary study to establish the possible worlds of fiction as an exploratory sphere within which we can tease, from the ambiguity of art, its contribution to research and knowledge without suppressing the sensorial and aesthetic dimension of its material. The literary is presented as a modest collaborator to the artistic investigation: aiding its articulation without erasing its processes and speechlessness. This approchement of work and text is critiqued and augmented through the radical reality of sound and the notion of sonic fictions that breach analytical language to speak its excess.
Principal Component Analysis Method for Image Segmentation of Smart Meter Digital

The digital kWh meter is a device that can measure the consumption of electrical power in electrical equipment.This paper presents an approach to recognize numeric characters on the kWh meter image by implementing principal component analysis for segmentation.Research methodology contains two phases, pre-processing and recognition for image processing.The performance of the proposed approach is evaluated by developing the prototype of a nonrealtime system to recognize numeric characters contained on image and use a dataset of Smart Meter Indonesia Model of kWh Meter images as input for testing.In terms of effectiveness, the experimental result shows accuracy up to 90% on average for kWh Meter digital recognition.It represents correctness in reading the value measured by kWh Meter.
Book Review: Mastering Software Development in R

Book review of&nbsp;Mastering Software Development in R&nbsp;by Roger D. Peng, Sean Kross and Brooke Anderson (2017). Victoria, British Columbia, Canada: Leanpub. 472 pages. Price&nbsp;$0.00 to&nbsp;$50.00 (e-book).&nbsp;https://leanpub.com/msdr
Management Development of Teachers’ Professional Competence

The study aims to reveal the desired standards of professional competence, as well as efforts in management development of professional competence, and teacher responses to the policies taken by the principal to development the teachers professional competence.This study used a qualitative approach with descriptive methods of analysis with case study design.The data collection was done by using in-depth interviews, participant observation, and documentation.The results of this study indicate that the efforts undertaken to manage the development of professional competence of teachers is: a) comprehensive recruitment by selection; b) education and training, c) educational supervision, d) learning task, e) increase the motivation of teachers to instill commitment and reward.
Reflexive Mechanism - As The Main Form Of Controlling Students' Pychological Conditions

This article deals with the theoretical and practical issues of the socio-psychological phenomenon of self-government, the reflexive mechanism, the formation of self-government motivation, self-management and improvement, self-control, social psychological features of self-education illuminated.
Comparative Analysis of Sentiment Analysis on Social Media

For past few years, the World Wide Web has turned into an immense wellspring of client produced content and opinionative information. Utilizing web-based life, for example, Instagram, Facebook, twitter, etc., users share their views and feelings in an advantageous manner. Web-based social networking, for example, Instagram, Facebook, twitter, etc., where a huge number of individuals prompt their individual perspectives in their everyday communication, which may be their assumptions &amp; sentiments about specific thing. These consistently developing emotional information are, without a doubt, an incredibly rich wellspring of data for any sort of basic leadership method. To computerize examination of such information, region of Sentiment Analysis has been developed. It goes for recognizing opinionative information in the Web &amp; characterizing it as indicated by their polarities., regardless of whether they convey a positive/negative implication. Assessment Study is an issue of content-based examination, yet there are a few difficulties that make it troublesome when contrasted with conventional content-based investigation This unmistakably expresses there is need of an endeavor to move in the direction of these issues and it has opened up a few open doors for future research for taking care of refutations, concealed assumptions ID, slangs, polysemy. Be that as it may, the developing size of information requests programmed information examination strategies. In this paper, a literature review on various strategies utilized in the Sentiment Analysis is done to comprehend dimension of the work.
Towards a Generic Framework for Trustworthy Program Refactoring

Refactoring has to preserve the dynamics of the transformed program with respect to a particular definition of semantics and behavioral equivalence. Apparently, it is always challenging to relate executable refactoring implementations with the formal semantics of the transformed language. There are a number of approaches to specifying program transformations on various kinds of program models, but trustworthiness of refactoring is still to be improved by means of formal verification. We propose a specification formalism and a generic framework for its processing, which claims to allow semi-automatic execution and formal verification, as well as to be adaptable to multiple paradigms.
THE IMPACT OF MONEY LAUNDERING OPERATIONS ON SUSTAINABLE DEVELOPMENT IN EGYPT

The study aims to shed light on the negative effects of money laundering operations on sustainable development and the national economy in Egypt. This is achieved by studying the extent of the linkage of money laundering operations, as economic development reflects sustainable development and comprehensive development, because development does not aim to maximize per capita output. But also to achieve the basic needs of individuals, raise their living standards, reduce poverty, reduce the misallocation of national income, and achieve economic and social well-being through the optimal use of resources and reduce unemployment, in addition to justice in Development outcomes are communicated to all members of society while providing productive and social services.The researchers relied on reports and bulletins issued by (arab Monetary fund, Bulletin of Economic Statistics of Arab Countries, Report on Monitoring Economic and Social Performance at the Ministry of Planning, Follow-up and Administrative Reform) and through some methodological procedures (inductive, deductive, descriptive and analytical), study and analysis of economic indicators of the Egyptian reality during the year (2000-2018) , in order to reach the negative effects of money laundering in order to work to reduce or eliminate.The study reached the following results:1. Money laundering negatively affects the achievement of sustainable development through its negative impact on economic development and threatening economic stability.2. Money laundering has a negative impact on the national economy through a decline in public revenues, which negatively affects the state's ability to meet its obligations, in addition to increasing the gap between production and consumption, as well as the balance of payments gap. Money laundering has negative effects on the national economy.The most important recommendations of the researcher include the following:1. Work to integrate the hidden economy into the formal economy through laws and legislation that facilitate this, in addition to tax incentives.2. Develop a strategy to achieve high growth rates that are higher than the rate of increase in population, and work to redistribute national income, and take into account most aspects that achieve economic development in the short term and work to achieve sustainable development in the long term.
Upotreba i položaj zamenice <i>si</i> uz modalne glagole u italijanskom jeziku

In this paper we analyze the pronoun si that can be impersonal, reflexive and passive in the Italian language. With respect to the verb to which it is associated, the pronoun can change its place, especially in the presence of modal verbs. In the Romance languages, clitics derive from Latin and during their development they changed the position but also the functions. The clitic si, thus, may have different positions that we have tried to identify in the corpus formed of two writings, namely, Danubio and Pape Satan Aleppe. The result of this analysis show that the authors apply typical rules in the case of impersonal and passivating pronoun, while we cannot say the same for the reflexive pronoun that is used in the enclitic position. In conclusion, by exploring our corpus we have created the space for further research on the pronoun si.
Development of an on-Premise Indonesian Handwriting Recognition Backend System Using Open Source Deep Learning Solution For Mobile User

Existing handwriting recognition solution on mobile app provides off premise service which means the handwriting is processed in overseas servers. Data sent to abroad servers are not under our control and could be possibly mishandled or misused. As recognizing handwriting is a complex problem, deep learning is needed. This research has the objective of developing an on premise Indonesian handwriting recognition using open source deep learning solution. Comparison of various deep learning solution to be used in the development are done. The deep learning solution will be used to build architectures. Various database format are also compared to decide which format is suitable to gather Indonesian handwriting database. The gathered Indonesian handwriting database and built architectures are used for experiments which consists of number of Convolutional Neural Network (CNN) layers, rotation and noise data augmentation, and Gated Recurrent Unit (GRU) vs Long Short Term Memory (LSTM). Experiment results shows that rotation data augmentation is the parameter to be change to improve word accuracy and Character Error Rate (CER). The improvement is 64.8% and 23.2% to 69.6% and 20.6% respectively.
Improving Reading Comprehension Of The Students Of Economic Department At STIS Nuruddhalam Sumenep Through SQ3R Strategy

This research was conducted to improve the reading comprehension ability of the students of Economic Department at STIS Nuruddhalam, Sumenep through SQ3R strategy. Due to the problem found that the reading comprehension ability of the students to comprehend the text was unsatisfactory. This research employed two –cycle’s classroom action research and implemented in the 20 students of the first semester of the Students of Economic Department STIS Nuruddhalam, Sumenep. The instruments to collect the data were observation sheet, field notes and the reading comprehension test. The result of this research dicated that SQ3R strategy improved the student's reading comprehension ability that can be seen from the student's score in post test through their gain compare with their score in pretest. In cycle I there were 10 out of the students (50%) achieved 10 points greater than their score in pretest. While in cycle II, there were 15 students out of 20 students (75%) achieved 10 points greater than their score in pretest. Besides, the implementation of the SQ3R strategy was successful in improving the students' participation.
Color image compression based on spatial and magnitude signal decomposition

&lt;p&gt;In this paper, a simple color image compression system has been proposed using image signal decomposition. Where, the RGB image color band is converted to the less correlated YUV color model and the pixel value (magnitude) in each band is decomposed into 2-values; most and least significant. According to the importance of the most significant value (MSV) that influenced by any simply modification happened, an adaptive lossless image compression system is proposed using bit plane (BP) slicing, delta pulse code modulation (Delta PCM), adaptive quadtree (QT) partitioning followed by an adaptive shift encoder. On the other hand, a lossy compression system is introduced to handle the least significant value (LSV), it is based on an adaptive, error bounded coding system, and it uses the DCT compression scheme. The performance of the developed compression system was analyzed and compared with those attained from the universal standard JPEG, and the results of applying the proposed system indicated its performance is comparable or better than that of the JPEG standards.&lt;/p&gt;
Secured Reversible Data Hiding using Histogram Shifting Method

The Internet has become one of the significant ways of communication.Sending medical information from one place to another sometimes may cause leakage or interruption in the messages that are being sent.Thus it is necessary to protect the patient's medical information being sent through the network.Cryptography, Steganography are some of the various techniques that are being used to protect data from the outside world.Here, the patient's information is encrypted using chaotic encryption and the image is compressed by The Absolute Moment Block Truncation Coding (AMBTC) compression method.The chaotic encryption is employed in the system to improve robustness against security vulnerabilities.The compressed image is embedded into the cover image by the histogram modified embedding method.Various keys are used for encrypting and embedding the information into the image.The reverse process is done on the receiver side to retrieve the original image and the patient's information without any loss or distortion by using the same key.The Peak Signal to Noise Ratio (PSNR) of this method is obtained above 50dB.
THE IMPLEMENTATION OF COOPERATIVE LEARNING TYPE TEAMS GAME TOURNAMENT (TGT) METHOD TO IMPROVE STUDENTS MOTIVATION IN LEARNING ENGLISH

The objective of this research is to describe the implementation of teams game tournament in learning English at SMP Pasundan 1 Cimahi. The research using descriptive qualitative method, and took 33 samples from seventh grade students. The writer collected data by interviewing and spreading questionnaires asked the students motivation which have 10 items adopted from Muhlisin, (2018). Percentage and descriptive explanations are applied in data processing. Based on this study, the writer found that; 1. The students became more active in learning activities, 2. The student’s teamwork and courage were increasing while discussing group time, and 3. The materials were easier to be accepted and understood by students. Those results indicated that the implementation of this method has enhanced the interest of students in learning English. From the questionnaires and interviews most of the students choose to agree statements too. So, it showed us that the implementation of cooperative learning type teams game tournament method was successfully improving student’s motivation in learning English.Keywords: Cooperative Learning, Teams Game Tournament, Students Motivation
MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA MELALUI PEMBELAJARAN DENGAN GOOGLE MEET

This objective of this study is to improve student learning outcome on mathematics using the Google Meet Application in class X MIPA 3 SMA 1 Tawangsari, with 36 students which consist of 8 male and 28 female students. The technique of collecting data uses tests. Data analysis techniques are data reduction, presentation, and conclusion drawing. From the analizes, it can be seen from the increase in student learning outcomes from the pra siklus, siklus I to siklus II. This can be concluded that the use of the Google Meet application can improve student learning outcomes in mathematics in class X MIPA 3 SMA 1 Tawangsari.
Remote Sensing Techniques in the Investigation of Polluted Soils at Illegal Dumpsites in Yenagoa Metropolis, Bayelsa State, Nigeria

Remote Sensing Techniques in the evaluation of Polluted soils at illegal dumpsites in urban Soil environment and its effect on human being in Yenagoa metropolis, Bayelsa State compels us to investigate the presences of the following heavy metals, such as Fe, Mn, Cr, Cu, Zn, Ni, Cd, and Pb. The result reveals High-level of heavy metals accumulation at illegal dumpsites. Soil sample by leachate migration from the open dumpsite and all the illegal dumpsites found within the marketplace close to Epie Creek which serves as a significant source of household water and a tributary to River Nun. Our results also show that population increase in migration of human being from villages to the city in land use/land cover map built-up area contains 16.96 km2 with 4%, and bare land 20% in 1992 and 2020 land use/land cover built-up area contain 93.30 km2 with 23% and bare land is 35%. Therefore, the percentage from 1992 to 2020 in built-up area especially by 19% and bare land by 15% thereby water bodies and vegetation decreases. The area lacks environmental law for dumping disposals and the government needs to carry out landfill site suitability for solid waste disposal site using Remote sensing and GIS in other to reduce soil pollution by heavy metals in the area over time.
Educating Adolescents in Life Skills for Achieving Sustainable Development in Nigeria

Education was recognized globally as the key to overall development.The understanding of the value of education in human life and with the change in policies of recruitment materialisms which demand employable youth especially in Nigeria, it become necessary to provide youth with life skills education.This disquisition focus on ways forward in educating adolescence on life skills for achieving sustainable development in Nigeria.Been adolescence are the most powerful, active, diligent, creative, contributive, innovative and energetic people.Life skills education is essential tool for empowering those adolescent to act responsible, increase civil capacity by enhancing and improving the workforce, social tolerance and less likely to resort to anti-social behaviour for achieving sustainable development.It is said to be recommended among others that government should provide adequate provision of social services that are beneficial to the poor masses, fostering economic growth, empowerment of youth to boast business in different dimension toward achieving sustainable development goals.
Noise tolerance of photonic entanglement can be significantly enhanced

Researchers show how the dimensionality of photonic systems can be exploited to outperform qubits in terms of noise tolerance.
The localization of quantum random walks on Sierpinski gaskets

We consider discrete time quantum random walks on a Sierpinski gasket. We study the hitting probability as the level of the fractal graph goes to infinity in terms of their localization exponents βw, total variation exponents δw, and relative entropy exponents ηw. We define and solve the amplitude Green functions recursively when the level of the fractal graph goes to infinity. We obtain exact recursive formulas for the amplitude Green functions, on which the hitting probabilities and expectation of the first-passage time are calculated, and using the recursive formula with the aid of Monte Carlo integration, we evaluate their numerical values. We also show that when the level of the fractal graph goes to infinity, with probability 1, the quantum random walks will return to the origin, i.e., the quantum walks on a Sierpinski gasket are recurrent.
Corpona – The Pythonic Way of Processing Corpora

Every NLP researcher has to work with different XML or JSON encoded files. This often involves writing code that serves a very specific purpose. Corpona is meant to streamline any workflow that involves XML and JSON based corpora, by offering easy and reusable functionalities. The current functionalities relate to easy parsing and access to XML files, easy access to sub-items in a nested JSON structure and visualization of a complex data structure. Corpona is fully open-source and it is available on GitHub and Zenodo.
Decision Support System For Determining The Type Of Workout Using The Fuzzy Analythical Hierarchy Process (F-AHP) In GYM STIKI

Purpose: Decision Support System for Determining the Type of Workout Using the Fuzzy Analythical Hierarchy Process (F-AHP) Method The STIKI GYM was created to make it easier for trainers to provide training for STIKI GYM participants who carry out workouts at STIKI GYM. Meanwhile, for STIKI GYM participants, the system can make it easier to carry out workout activities according to their respective body loads.Design/methodology/approach: Fuzzy Analythical Hierarchy Process (F-AHP) Method and being tested with black box testingFindings/result: Users can find out workout activities by entering the criteria for body weight, height, and exercise intensity into the system and helping trainers provide training in accordance with the recommendations for workout activities from the Decision Support System for Determining the Types of Workout Using the Fuzzy Analythical Hierarchy Process (F-AHP) Method at STIKI GYM.Originality/value/state of the art: The Decision Support System for determining the Type of Workout is indeed implemented at STIKI GYM by using data support in the form of interview results and participant data from STIKI GYM.