Reviewerly/exHarmony huggingface dataset:
PENGEMBANGAN PROGRAM GERAKAN LITERASI SEKOLAH DI SD NEGERI 02 BATU MANGAUM KEC. SUNGAI GERINGGING KABUPATEN PADANG PARIAMAN

The objectives of this service include: 1) Growing student awareness through increasing teacher creativity about the importance of literacy skills in increasing knowledge to become active, creative, innovative, and independent students. 2) Reading corners, bulletin boards, and visits to the library can increase students' interest in reading if they are designed in an attractive way. The method used is lecture and discussion. This training was attended by 20 teachers from various subject areas in the school. The development of the School Literacy Movement Program was carried out based on several stages including; consists of three stages, namely planning, implementing and evaluating. The resource person plans the learning to be carried out, such as preparing learning tools and media in the form of power points, pictures and videos about GLS which are applied to increase the literacy of teachers and students. Then another teacher as an observer (observer). In the implementation stage, the teacher and observers evaluate the implementation of activities in class. This activity adds to the knowledge of teachers and students about the School Literacy Movement and gains new experiences for teachers, so as to increase the creativity of educators and students.
Building a fluid mechanics multiple-choice test program for smartphones with android operating system

On the basis of a set of Fluid Mechanics Multiple-Choice Tests (FMMCT) in the form of MS Word files, the author used the programming languages and open source programs Android Studio, PHP, Java Script, HTML, and Hot Potatoes 6 to proceed developing an FMMCT program FluidMCT, operating on smartphones with the Android operating system, to create favorable conditions for learning fluid mechanics better. The program consists of two parts: (1) The program to be installed on the smartphone created through the Android Studio Bumblebee Software │2021.1.1 Patch 2 [1]; (2) The programs and databases are installed on the server. Hot Potatoes 6 software helps to create FMMCT lessons with results as HTML files containing JavaScript language to perform operations and scoring. Based on this sample test, 160 FMMCT lessons are conducted on the basis of separating the test content, the selected evaluation content and the JavaScript operating files in the form of *.js to optimize the saving process. storage and programming for big data. On the server, programs written in PHP, HTML, JavaScript and MySQL databases help to manage the data system containing FMMCT, the table user in the MySQL database along with PHP programs support account security management through the login process. These two program systems (1) and (2) are linked together. Using smartphones, users can freely run 20 FMMCT lessons; however, to continue running the remaining 140 lessons, students must provide resource system logins. In addition, a system program is created and installed on the server, and another result is the FluidMCT.apk file, allowing it to be installed on Android smartphones for use. Through the results of this program development, a multiple-choice test program of any other subject can be built conveniently and quickly.
ELECTRO-OCULOGRAPHY AS AN ALTERNATE COMMUNICATION IN THE FIELD OF HUMAN INTERFACING SYSTEM

—In recent years several researchers are practicing on human interfacing techniques. Many techniques were successfully implemented and launched as commercial products for medical, aeronautics and bioinformatics communications. Still concerning electrooculography interfacing for Human Computer Interface (HCI) has wide scope of development and real life implementations. Like EEG, EMG and ECG, EOG doesn't provide important body parameters which could be used for disease diagnosis but it has very wide applications in human and machine interactions. EOG could be used by paralyzed stroke patients are unable to normally communicate with their environment. For these patients, the only part of their body that is under their control is eye moments. The system will detect the variations in electric signal strength through voltage level near the eye area and generates a signal in order to control interactive device. Additionally, they are particularly suitable in the case of people with severe motor disorder, for example people with other physical disorder. Developing solutions for them involves different ways of using sensors that decides the user’s needs and limitations, which in turn converts the user’s intentions into commands. This paper submits the use of EOG signals for the different application control in different fields in current situation
BLOCKCHAIN SECURITY TO PREVENT CYBER THREATS IN SMART ELECTRIC POWER SYSTEMS

Over the past few years, using blockchain technology as one of the new approaches to improve the physical and cyber security of the power system has gained relevance. Blockchain can also be used to increase social welfare and give customers access to renewable energy. The next generation of power grid infrastructure, known as the Smart Power Grid, uses smart ICT (Information Communication Technology) to improve existing grid systems. It was created to overcome the drawbacks of one-way existing grid systems. With the demand for renewable energy sources, the Smart grid is anticipated to increase future power systems' efficiency and reliability significantly. Cybersecurity for the Smart Power Grid is becoming a significant issue. Since cyber-attacks by malevolent hackers can harm energy data and result in the leakage of personal information from grid members, they can cause serious incidents like massive outages and the destruction of power network infrastructure. Therefore, we will propose a secure smart energy management system built on the blockchain to fix this problem. The blockchain is a distributed data processing technology that allows for the distribution and storing of data by all network participants. By integrating blockchain technology into the Smart Grid, energy data may be managed more securely. Additionally, this will help the future growth of the smart energy sector.
A REVIEW PAPER ON OCR USING CONVOLUTIONAL NEURAL NETWORKS

this paper presents a literature review on OCR for different languages using convolutional neural network techniques. Optical Character Recognition is the process of converting an input text image into a machine encoded format. Different methods are used in OCR for different languages. The main steps of optical character recognition are pre-processing, segmentation and recognition. Recognizing handwritten text is harder than recognizing printed text. Convolutional Neural Network has shown remarkable improvement in recognizing characters of different languages. The novelty of the OCR is its robustness to image quality, image contrast, font style and font size. Common machine learning methods usually apply a combination of feature extractor and trainable classifier. The use of CNN leads to significant improvements across different machine-learning classification algorithms.
FAKE PRODUCT DETECTION USING BLOCKCHAIN

In recent Times Blockchain Technology is getting really popular and is very much reliable. Blockchain is Popular due to its security and decentralized system. Blockchain can be termed as a chain of blocks which contain data for each block to be considered as a new node. In the last few years the number of counterfeit products has been at its peak. Hence, it becomes really important to control the flow of these products as it directly affect company’s name, valueand may also affect the consumer. So, there is a needof something that can give the consumer the assurance that the product they are paying for is a Real and Legit product and this will also Protect company from defamation. In this project, by using emerging trends in technology, Quick Response (QR) codes provide a way to counter the fake products. counterfeit products are perceived using a QR code scanner and the QR code of the product is linked to a blockof a Blockchain. The proposed system can store thedata of products and will generate unique and product specific code of that product and will save it as a block.It will collect the unique code from theconsumer which he can get by scanning the QR code given on the product then the system will check forthe code in the blockchain database . If the code matches, it will give a receipt of the product to the customer, otherwise it will notify the customer thatthe product is not legit.
ADVERTISEMENT CLONE DETECTIONUSING SENTIMENT ANALYSIS

As most of human activities are being moved to cyberspace, phishers and other cybercriminals are making the cyberspace unsafe by causing serious risks to users and businesses as well as threatening global security and economy. Nowadays, phishers are constantly evolving new methods for luring user to reveal their sensitive information. To avoid falling victim to cybercriminals, a phishing detection algorithm is very necessary to be developed. Machine learning or data mining algorithms are used for phishing detection such as classification that categorized cyber users in to either malicious or safe users or regression that predicts the chance of being attacked by some cybercriminals in each period. Many techniques have been proposed in the past for phishing detection but due to dynamic nature of some of the many phishing strategies employed by the cybercriminals, the quest for better solution is still on. In this project, we can implement the framework for classify the phishing advertisements using multiple machine learning algorithms such as decision tree, random forest, and Gradient boosting algorithm. Experimental results shows that the Gradient boosting algorithm provides improved accuracy rate than the other two algorithm and applied on benchmark datasets that are collected from KAGGLE website.
REAL TIME YOGA POSE DETECTION USING DEEPLEARNING: A REVIEW

With the increase in the number of yoga practitioners every year, the risk of injuries as a result of incorrect yoga postures has also increased. A selftraining model that can evaluate the posture of individuals is the optimal solution for this issue. This objective can be attained with the aid of computer vision and deep learning. A model that can detect theyoga pose performed by an individual, evaluate it in comparison to the pose performed by an expert, and provide the individual with instructive feedback would be an effective solution to this problem. Recently, numerous researchers have conducted experiments on the detection and performance of yoga poses in real time. This paper discusses the methods undertaken in brief and compares the tools and algorithms they used for conducting pose estimation, pose detection as well as pose assessment. Itdiscusses the accuracy, precision, and similarity of pose classification obtained by the researchers and the future scope of the research.
Assessment task analysis: review of foreign approaches

The assessment task is one of the key factors in achieving an accurate, reliable and valid assessment. The effectiveness of assessment is directly dependent on the characteristics of the task and its compliance with the requirements. The analysis of foreign theoretical sources made it possible to identify various analytical procedures used by researchers and practitioners to identify certain aspects of the assessment task. At the same time, we draw attention to the lack of their systematization. This narrows the possibilities of identifying the qualitative parameters of the assessment task, which results in a decrease in the assessment reliability. The purpose of the study is to identify approaches to the analysis of the assessment task proposed by foreign researchers and to streamline them based on the differentiation of the focus of the analysis. The study was carried out by continuous search of theoretical sources in international scientific databases of full-text publications based on thematic keywords. As a result, 18 publications were selected, which reflect different analytical procedures used to determine the quality of the assessment task as a didactic category. The study of publications allowed to identify the following approaches: integrative, authentic, didactic, cognitive, linguistic and an approach based on the theory of educational assessment. Each approach reflects specific parameters related directly to operations, activities, characteristics, etc., necessary for the effective assessment procedure. Approaches to task analysis are focused on identifying the internal parameters of the task (compliance with the requirements of real life situations; consistency with the psychological and pedagogical patterns of organizing educational activities; taking into account language characteristics in task instructions; correlation of cognitive operations necessary to complete the task with the requirements of complexity, accessibility, expediency, etc.; compliance with the requirements of valid, reliable and fair assessment activities), and its potential in the context of the educational process as a means of influencing the student and the educational process itself. The systematization of the approaches to the assessment task becomes a factor in the development of practical tools that ensure quality of the assessment task for the effective organization of the educational process.
Geometry of Khalakan Anticline, Northeastern Iraq

This research deals with the geometry of Khalakan Anticline by using field data. The anticline is located in NE Iraq, within the High Folded Zone of the Iraqi Western Zagros Fold – Thrust Belt where the southwestern limb of it represents the boundary between the Low and High folded zones. The age of the exposed rocks in the study area ranges from Cretaceous to Late Pliocene. Qamchuqa and Kometan formations expose in the two limbs as oldest rocks, while the youngest rocks in the northeastern limb are covered by Dokan Conglomerate. Consequently the fold geometry was determined by the measured field data of Qamchuqa and Kometan formations only. Khalakan anticline was described as asymmetrical and overturned fold, with northeastern vergency, where the mean attitude of the NE limb is 220 ᴏ/89 ᴏ and the mean attitude of the SW limb is 219 ᴏ/55° in terms of dip direction and dip amount. The attitude the fold axis in terms of trend and plunge is 130°/1°, the attitude of the axial plane is 220°/72° in terms of dip direction and dip amount, the interlimb angle is 34°, consequently the fold was classified as Close Fold.
Aluminum-Copper alloys, Corrosion, acidic medium, alkali medium.

This paper suggested a de-noising algorithm used in grayscale images. As long as the noisy image does not give the desired view of its features, de-noising is required. The algorithm is based on block matching and wavelet transformation. Euclidean distance for blocks similarity is exploited, which demonstrate more accurate in finding similar blocks depending on soft thresholding. Regarding wavelet transform, a combine of hard thresholding is performed for HH and LH sub-bands while soft thresholding is used in LL and HL sub-bands of the decomposed images. Three types of noise is encountered: Gaussian noise, salt &amp; pepper noise and speckle noise. The measurements are employed to evaluate our work is MSE and PSNR and SSIM. Finally a comparison of the results shows that our method outperforms traditional wavelet using hard or soft thresholding.
A new learning rate based on Andrei method for training feed-forward artificial neural networks

In this paper we developed a new method for computing learning rate for Back-propagation algorithm to train a feed-forward neural networks. Our idea is based on the approximating the inverse Hessian matrix for the error function originally suggested by Andrie. Experimental results show that the proposed method considerably improve the convergence rate of the Back-propagation algorithm for the chosen test problem.
The Bayesian Estimate of Vector Autoregressive Model Parameters Adopt Informative Prior Information

This research included the bayesian estimate for vector Autoregressive model with rank (p) in addition to statistical tests and predict Bayesian when the random error of model followed generalized multivariate modified Bessel distribution. The prior information about the parameters of model is represented by probability distributions belong to conjugate families. It found that the posterior marginal probability distribution for parameters matrix (Φ) is a Matrix t distribution, The posterior marginal probability distribution of covariance matrix (Σ) is uncommon and the predictive probability distribution of future observations vector is multivariate t distribution.&#x0D;
Geochemical Content of Lead and its Distribution in Soil of Kirkuk City/Northern Iraq

The current study includes determination of the concentrations of lead (Pb) in 18 specimen of Kirkuk city soil (K). Inductively Coupled Plasma - Mass Spectrometry (ICP-MS) technology has been used in the analysis of soil samples in laboratories Acme company in Canada. Results of chemical analysis of samples clarified a rise in average of lead in soil samples (26.11 ppm) compared with international average of soil (10 ppm) and with uncontaminated ones (15 ppm), and rise in its average in surface depth (30.2ppm) compared with the lower depths (17.97ppm), and decreases in its average as compared with local soils in other cities in Iraq. Factor analysis of the geochemical data for the samples above has been conducted and has been shown a presence of affinity and geochemical associations among Pb and both of potassium oxide and phosphorus penta oxide and also some elements such as phosphorus, cadmium, copper and zinc, as well as organic materials. Size analysis of the samples has confirmed that the concentration of Pb increases in the clay fraction in soils, and in a larger quantities than in the silty and sandy fractions. The value of Geoaccumulation index (Igeo) for samples of soil showed that it lies within the medium pollution category to non-pollution. Oxidation - reduction potential and the acidic function have helped to identify the prevailing metallic phase in the soils at the area of study, which is a type of Cerussite.
Improvement of Alert System against Tampering and Theft in Surveillance Cameras

Use of Surveillance cameras in houses and markets became common, that resulted to minimize theft and make it a difficult task because it let recording and viewing what is going around. The wide application of these cameras, pushed thieves to seek new ways for abolition of the surveillance system and digital recording of events, such as cutting the signal wire between the camera and Digital video recorder or changing the direction of the camera away from the focus spot or damaging the camera or steal the device which means the loss of the recorded media. This paper focuses on such abolitions and fixed it by suggesting a way to notify the administrator immediately and automatically by Email about any violation of the system using MATLAB, which allow fast action by the administrator to fix such tampering. The results show that selecting of threshold equal to two was fair in detecting motion and value of five, in case of changing the camera direction through testing of fast and slow motions.
Distinction Geological Formations at Qand Structure And Bashiqa Anticline Localities Using Remote Sensing Data.

The research project includes the use of remote sensing data such as multispectral images of Enhanced thematic mapper on board of "Laudsat 7" for the purpose of distinguishing and defining the geological formations it has been shown that in order to achieve the purpose of the research project, an incorporation of the channels TM (7, 5, and 3), was carried out. These spectral bauds with their wavelengths have a bigger preference over other bands in distinguishing between the geological formations. The results are further supported by geomorphological and morphotectonical maps for the limitation of the extensions of the formations and the comparison of these extensions with the study locality. Field specimens were used for the observations of spectral reflections of the selected (ETM7), channels, supervised classification was also used for the correlation, characterization, and limitation and the extension of the geological formations.
Arduino – Based Electronic Voting Machine

The main objective of this paper is to design and implement Electronic Voting Machine (EVM) using fingerprint sensor for authentication. The design is based on the microcontroller (Arduino Mega 2560), fingerprint sensor for scanning voter’s fingerprint before voting, “2.4” TFT LCD screen for displaying the instructions and voter information, Buzzer, SD card reader. System database comprising password ID for all voters and fingerprint are stored in microcontroller for comparing and verification during polling. If already voter casted his vote and he/she trying to enter for second time into the electronic voting machine, then buzzer will alert the master user. The proposed Electronic Voting Machine will save the time and effort of voters as it is characterized by reliability and ease of use in addition to rapid response to users. At the end of the ballot, the result will be stored in flash memory through which the master user can retrieve and see them. During the construction of any electronic voting system, several aspects must consider, the most important is the privacy of voters and the accuracy of the voting process in addition to maintaining the security of data, this research provides a safe and reliable voting system.
Generalized Dai-Yuan conjugate gradient algorithm for training multi-layer feed-forward neural networks

In this paper, we will present different type of CG algorithms depending on Peary conjugacy condition. The new conjugate gradient training (GDY) algorithm using to train MFNNs and prove it's descent property and global convergence for it and then we tested the behavior of this algorithm in the training of artificial neural networks and compared it with known algorithms in this field through two types of issues.
The Othogonality of Martingale in Birkhoff’s sense and others

Orthogonality is one of an important the concepts in Mathematics , therefor it will be discussed in this paper, the orthogonality of martingale according to Birkhoff ’s, Roberts’s, Singer’s, Carlsson’s sense for orthogonality and the conditions that are needed to have orthogonality
Effect of repeated annealing on the synthetic and electrical properties of Bi2-(x+y)PbxAgy Sr2Ca2Cu3O10+δ electrically superconductor

This research involved the preparation of Bi2-(x+y)PbxAgy Sr2Ca2Cu3O10+δ with different concentrations of (x,y) which are (x=y=0)(x=0.05,y=0.15)(x=y=0.1)(x=0.15,y=0.05) by the method of solid state reaction under hydrostatic pressure of 8 ton /cm2 and at annealing temperature of 1123K in presence of sufficient amount of oxygen.&#x0D; In order to obtain an increase in the regularity of crystalline composite and also to obtain the best critical temperature, the annealing was repeated on these samples at 723K.&#x0D; After X-ray diffraction (XRD) test to know how effective the partial substitution and repeated annealing is, it was obvious that the crystalline composite was of tetragonal type and the best substitution ratio is when (x=0.05,y=0.15) where the values of lattice dimensions were a=b=5.4056°A, c=37.4226°A, after repeating the annealing process on these samples ,the crystalline composite kept its type and with conspicuous increase in the length of c-axis, but the best sample after repeating the annealing was at ratio of (x=y=0.1) where the values of lattice dimensions became a=b=5.4030°A,c=37.5230°A when it was a=b=5.4011°A,c=37.0660°A before repeating the annealing .When the electrical properties of these samples was studied ,we noticed that the oxygen has an important role in increasing the critical temperature and we obtained the best critical temperature Tc=144K and that’s when x=0.05,y=0.15 while after repeating the annealing it was Tc=146K and that’s when x=y=0.1 and it was Tc=136K before repeating the annealing