Reviewerly/exHarmony huggingface dataset:
Personalized Web Explore with Disguised User Contour Structure

site structures square measure altered to boost the user navigations. net personification methodology reconstructs the page relates with relevance the traversal path and contour of a particular user. Users knowledge square measure collected and analyzed to fetch the intention behind the issued question. User customizable Privacy protective Explore (UPS) is employed to generalize contours by queries with user privacy necessities. Greedy discriminating power algorithmic program (GreedyDP) is employed to maximise the discriminating power of the user contours. Greedy knowledge Loss (GreedyIL) is employed to attenuate the info loss in user contours. GreedyIL algorithmic program achieves high potency than the GreedyDP algorithmic program. The Personification net Explore (PWS) theme is increased to manage topic relationship based mostly knowledgeable attacks. The User customizable Privacy-preserving Explore (UPS) model is increased to resist question session based mostly attacks. question generalization is performed with question priority values. Anonymisation and topic taxonomy models square measure wont to improve the personification method.
Unconstrained Human face Tracking in live Video

In surveillance applications visual face detection and tracking becomes an essential task. Many algorithms and technologies have been developed to automatically monitor pedestrians or other moving objects and to track the detected face. One main difficulty in face tracking, among many others, is to choose suitable features and models for detecting and tracking the target. For tracking of faces there are some common features are considered like color, intensity, shape and feature points. In this paper we discuss about mean shift based face tracking based on the color, optical flow tracking based on the intensity and motion, SIFT face tracking based on scale invariant local feature points. Mean shift is then combined with local feature points. Initial results from tries have shown that the implemented method is able to track target face with different pose variation, rotation, partial occlusion and deformation.
Learning Foreign Language: Between Globalization and Hegemony in Indonesia

Implementation of foreign language learning in Indonesia is an effort for the Indonesian people to be able to absorb and follow the development of science and technology in the world, as well as a way to get into the global society. Behind this goal, there is a concern about the infiltration of (Western) values that can erode the identity of foreign language learners as Indonesian. This concern arises because in learning foreign languages contained information about foreign culture (Western) and its cultural values. Western cultural values, if not critically viewed by foreign language teachers and learners, are very likely to change the cultural outlook of learners in Indonesia. Foreign language learning is even suspected of being a Western means of doing hegemony towards the people of Indonesia (East). In this article explained about the situation of foreign language learning in Indonesia, forms of "Western" hegemony against "East" through foreign language learning, Alternative forms of ethnopedagogic and intercultural-based foreign language learning.
THE EFFECT OF DISCOVERY LEARNING AND LEARNING MOTIVATION ON STUDENT LEARNING OUTCOMES PPKN SUBJECTS IN CLASS IV SDN 105316 BERANTI

This study aims to determine: 1) The effect of discovery learning and conventional learning models on student learning outcomes, 2) The influence of learning motivation on student learning outcomes. 3) The interaction between learning models and learning motivation on student learning outcomes. This study used a quasi-experimental research method. The research was conducted from April to May 2021.The population of this study were the fourth grade students of SDN 105316 Beranti, the number of which was 42 students who were determined randomly by random sampling technique. The research sample was 22 students of class IVA as the experimental class and 22 students of IVB class as the control class. The data collection technique used a learning motivation questionnaire and a learning outcome test. The data analysis technique used two-way analysis of variance. The results of the study are as follows: (1) There are differences in learning outcomes students who are taught with a learning model discovery learning with an average value of 85,919 higher than the learning outcomes of students taught by the learning model conventional on average 80,000, the analysis of variance results show Fcount value of 4.333&gt; Ftable value of 3.22 and a probability or significance value of 0.00 &lt;0.05, so H0 is rejected, (2) There is a significant difference between student learning outcomes with high learning motivation and the average85.07and students who have low learning motivation on average 57.81. Result of analysis of variance obtained Fcount value of 79.45&gt; Ftable value of 3.22 and a significant value of 0.013 &lt;0.05, so that H0 is rejected., (3) There is an interaction between discovery learning model and student motivation in improving student PPKn learning outcomes, analysis of variance results Fcount value of 8.807&gt; Ftable value of 3.22 and a significance of 0.014 &lt;0.05, so that H0 is rejected.
Statistics Based Optimization Technique for Query Processing

Semantic web consists of the data in the structure manner and query searching methods can access these structured data to provide effective search result. The query recommendation in the semantic web relevance is needed to be improved based on the user input query. Many existing methods are used to improve the query recommendation efficiency using the optimization technique such as Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO). These methods involve in the use of many features which are selected from the user query. This in-turn increases the cost of a query in the semantic web. In this research, the query optimization was carried out by using the statistics method. The statistics based optimization method requires fewer features such as triple pattern and node priority etc., for finding the relevant results. The LUBM dataset contains the semantic queries and this dataset is used to measure the efficiency of the proposed Statistical based optimization method. The SPARQL queries are used to plot the query graph and triple scores are extracted from the graph. The cost value of the triple scores is measured and given as input to the proposed statistics method. The execution time of the statistics based optimization method for the query is 35 ms while the existing method has 48 ms.
Estibalitz Ukar_revision

This paper presents field, petrographic, isotopic, and fluid-inclusion thermometric and compositional analyses of the different dolomitization and calcite veining events that affected Lower Jurassic rocks within the Montagna dei Fiori Anticline.The authors conclude that dolomitizing fluids show evidence of interaction with underlying units and therefore infer that dolomitization was fault related and occurred in two main episodes, before and during the Apenninic orogeny.This manuscript is organized in a logical manner and the data presented appears to be of high quality.Conclusions are for the
PERANCANGAN SISTEM INFORMASI PELAYANAN AD-MINISTRASI PADA KANTOR KELURAHAN KALIGANDU KOTA SERANG

Kaligandu Sub-District Office, Serang City, serves all public administration services that have been listed in the sub-district office, including making an application for an ID card, an application for a family card, and a domicile certificate. However, all administrative services and data storage are still carried out with several stages that are quite complicated and have a long waiting time and other data recapitulation processes take a long time to complete. The form data storage is still in the form of files so that there is often a double data storage and the loss of some files from the residents who have been in the data. The registration process for filling out the submission form is still manual and errors often occur in data entry which causes the filling process to be repeated. With the above problems, a good and integrated system is needed in carrying out business processes based on pre-existing systems, namely by building web-based applications and. The web application is used as a media for managing population data by users in carrying out population services. With a website-based application, it makes it easier for the Village to manage administrative files and data repaitulation in making reports, namely the existence of a print system in accordance with the submission of letters so that the submission data remains in the system, as well as in making reports that are automatically formed according to the number of submissions and in In this system, residents, Rt, Rw, and kelurahan can change residents' data so that if something goes wrong they can change it without having to come to the kelurahan office.
An Architectural Model on Employment Opportunities as Aftercare Program

The aftercare program of a drug rehabilitation center is a continuing treatment receive by ex-drug abusers immediately after being discharged from a residential rehabilitation center. This program caters services that help in the development of skills of ex-drug abusers as they move out from the facility of the rehabilitation center for them earn for living. The rehabilitation centers offer opportunities for employment as they allow other agencies to offer job and training and seminar services for ex-drug abusers. In the implementation of the job opportunities as an aftercare program, the selection of ex-drug abuser who is ready to work, ready to be trained, and ready for a further referral is a crucial decision. To this end, an architectural model that can match ex-drug users profile and relevant jobs, training, and referrals were needed. The developed architecture will serve as their basis for a decision support system development
Preface

I am pleased and honored to welcome you at the First International Conference on Computer Science and Applied Mathematic (ICCSAM 2018), which was held this year by AMIK and STIKOM Tunas Bangsa Pematangsiantar in collaboration with the Indonesian Computer and Information Professional Association (IPKIN), Indonesian Mathematical Society (INDOMS) and Bank Muamalat. As Chair of the Foundation, I would like to convey a greeting Welcome to Parapat City Lake Toba to presenters from various countries and especially those I respect for the presence of scientists in the field of Computer and Mathematical Sciences and industry practitioners in the 2018 ICCSAM event.
Enhancement of Underwater Images using Color Balancing and Multi-Scale Fusion Technique

The method proposed in this paper is efficient and does not need any external hardware nor does it need information regarding the conditions and structure of the scene which is to be enhanced after being captured in underwater as it is a degraded image due to presence of scattering and absorption intensity due to underwater particles and light. Two images, which are obtained after white balancing and color compensation of the degraded input image, are combined and the weight maps of the two images help in enhancement of edges and color contrast of the final output image. The creation of weight maps lead to the low frequency component of the recombined image having artifacts in it. Multiscale fusion technique has also been adopted in this paper. On making a comparative analysis, it was observed that the proposedmethod leads to enhancement of underwater images and videos in such a way that the dark regions exposition is improved, global contrast is better and edges are sharper.
Product Sentiment Assessment using Large Scale Cloud System

A typical manner in which valuable information can be obtained by means of extracting the sentiment or also the opinion from any message is called sentiment analysis. The sentiment classification exploits the technologies in machine learning owing to their ability to learn from training data set to predict and support decision making with high accuracy level. Some algorithms do not maintain proper scalability for large datasets. Today, there are several disciplines that have the need to deal with some big datasets for involving features in high numbers. The methods of feature selection have been aiming at the elimination of the noisy, the irrelevant or the redundant features that can bring down the performance of classification. Most of the traditional methods lack the scalability to be able to cope with the results within a given time. Here in this work, Term Frequency (TF) that is a method of feature extraction has been used. The focus has been on the selection for the opinion mining by using the Information Gain (IG) based method and compared with the method of. All these methods of feature selection have reduced all the original feature sets by means of removing the features that are irrelevant to enhance the accuracy of classification and bring down the running time of the learning algorithms. The method proposed has been evaluated by means of using the Support Vector Machine (SVM) based classifier. The experimental results have proved that the proposed method had achieved better performance.
Uranium Traps in Phreatic Sandstone-type Prospect, Taunsa Area, Dera Ghazi Khan, Eastern Sulaiman Range, Pakistan: Evidences from Autoradiography and Optical Microscopy

Taunsa uranium occurrence like other uranium resources in Pakistan is hosted by the Late Miocene-Pliocene age Litra Formation of the Siwalik Group molasse sediments. Taunsa uranium prospect is a unique phreatic-type uranium resource in terms of its disturbed geological setting of the eastern limb of the Zindapir anticline in the eastern Sulaiman range. Autoradiography technique was used to locate the spots of anomalous uranium concentration in thin sections from ore of Taunsa prospect. Twenty polished thin sections from uranium ore ranging from 200 ppm-600 ppm were attached to detectors for a month which produced prominent alpha track which were used to find the traps of uranium. Subsequently, these spots were studied under SEM and EPMA for further investigations of uranium phases. Autoradiography revealed that Taunsa uranium ore is mostly associated with organic matter (probably petroleum), black shale clasts, biotite, fougerite (a green colour rusty mineral) and with micritic clasts. This study suggests that prospective facies of the host sandstone containing relatively abundant black shale clasts, organic matter and biotite may be targeted during exploratory drilling in Taunsa uranium deposit and its extensions in the eastern limb of Zindapir anticline
Improved automatic age estimation algorithm using a hybrid feature selection

Age estimation (AE) is one of the significant biometric behaviours for emphasising the identity authentication. In facial image, automatic-AE is an actively researched topic, which is also an important but challenging study in the field of face recognition. This paper explores several algorithms utilised to improve AE and the combination of features and classifiers are associated. Initially, the facial image databases are trained and then the features are extracted by employing several algorithms like histogram of oriented gradients (HOG), binary robust invariant scalable keypoints (BRISK), and local binary pattern (LBP). Here, the AE is done in three various age groups from 20 to 30, 31 to 50 and above 50. The age groups are classified by utilising Naïve Bayes classifier (NBC). AE model is calculated by employing the Indian face age database (IFAD) and labelled Wikipedia face (LWF) aging databases obtaining optimistic result with success rate.
Supplemental Material for Recovery From Misinterpretations During Online Sentence Processing

a URL, doi, or other permanent path for accessing the specified information in a public, openaccess repository, and the specified information must be provided in a format that is time-stamped, immutable, and permanent.Qualifying public, open-access repositories are committed to preserving data, materials, and/or registered analysis plans and keeping them publicly accessible via the web in perpetuity.Examples include the Open Science Framework (OSF) and the various Dataverse networks.Hundreds of other qualifying data/materials repositories are listed at http://re3data.org/.Preregistration of an analysis plan must take place via a publicly accessible registry system (e.g., OSF, ClinicalTrials.govor other trial registries in the WHO Registry Network, institutional registration systems).Personal websites and most departmental websites do not qualify as repositories.
Missing Values Imputation using Feed Forward Neural Network

Data cleaning intends to make the data as highly qualified one in terms of completeness and noisy free to makes the pattern outcome as high quality. Since most of the real world data possess these crucial issues, finding the most probable value for the holes introduced in data collection becomes a challenging task. This paper attempts to employ the feed forward neural network to make the collected dataset as complete which in turn the pattern outcome also complete. The collected dataset which possess the missing values is used to generate the identity matrix where the filled cells might get one and rest of the cells as zero. The given dataset gets normalized using minmax variety after replacing the missing cells as zero which will become a target matrix. By adjusting the weight values for the edges across the various edges the net value gets computed. The process gets repeated with a small increment done over the input to reach the target till the loss function yields the desirable value. The method is experimented with various UCI machinery dataset for different standard missing ratios. The proposed system performance is evaluated through RMSE parameter and the above method shows better accuracy with other popular methods.
A markerless augmented reality system for mobile devices

Augmented Reality (AR) combines a live camera view of a real world environment with computer-generated virtual content. Alignment of these viewpoints is done by recognizing artificial fiducial markers, or, more recently, natural features already present in the environment. This is known as Marker-based and Markerless AR respectively. We present a markerless AR system that is not limited to artificial markers, but is capable of rendering augmentations over user-selected textured surfaces, or ‘maps’. The system stores and differentiates between multiple maps, all created online. Once recognized, maps are tracked using a hybrid algorithm based on feature matching and inlier tracking. With the increasing ubiquity and capability of mobile devices, we believe it is possible to perform robust, markerless AR on current generation tablets and smartphones. The proposed system is shown to operate in real-time on mobile devices, and generate robust augmentations under a wide range of map compositions and viewing conditions.
Sign Language Recognition System for Disabled People

The aim is to present a real time system for hand gesture recognition on the basis of detection of some meaningful shape based feature like orientation, center of mass, status of fingers in term of raised or folded fingers of hand and their respective location in image. Hand gesture Recognition System has various real time applications in natural, innovative, user friendly way of how to interact with the computer which has more facilities that are familiar to us. Gesture recognition has a wide area of application including Human machine interaction, sign language, game technology robotics etc are some of the areas where Gesture recognition can be applied. More specifically hand gesture is used as a signal or input means given to the computer especially by disabled person. Being an interesting part of the human and computer interaction hand gesture recognition is needed for real life application, but complex of structures presents in human hand has a lot of challenges for being tracked and extracted. Making use of computer vision algorithms and gesture recognition techniques will result in developing low-cost interface devices using hand gestures for interacting with objects in virtual environment. SVM (support vector machine) and efficient feature extraction technique is presented for hand gesture recognition. This method deals with the dynamic aspects of hand gesture recognition system.
PERANCANGAN SISTEM INFORMASI ADMINISTRASI KELURAHAN PADA KELURAHAN PASAR BARU KOTA TANGERANG

The development of information from time to time continues to increase` this is supported by the development of more advanced and adequate technology so that information can be accessed quickly and precisely. Based on the 2014-2018 Pasar Baru Kelurahan Vision that has been established and efforts to support the achievement of the Tangerang City mission by optimizing the authority of information technology-based public services through improving the quality of population administration and civil registration services. In fact in the process of storing data from the results of each work unit is still storing files in the ordner so it takes a long time to find the file that will be needed. To overcome the problems that occur, the authors make the design of a new village market administration information system The system will be built using the PHP programming language and Microsoft Access database. This application can simplify and speed up section heads and employees in accessing their documents independently so that administrative services become more effective and efficient and provide convenience in the processing of urban operational data in data storage services.
PENGARUH KUALITAS SISTEM DAN KUALITAS INFORMASI PORTAL AKADEMIK UNIVERSITAS NEGERI PADANG TERHADAP KEPUASAN PENGGUNA

This study aims to determine the effect of System Quality and Information Quality of UNP Academic Portal on User Satisfaction. This type of research is quantitative descriptive. This research was conducted in the University of Padang. While the research time was carried out in July-August 2018. The population in this study were UNP students who were enrolled actively in 2016 with a sample of 400 people taken by probability sampling. Data is processed using multiple linear regression using a SPSS 16.0 program. The results showed that System Quality had a significant positive effect on User Satisfaction and Information Quality had a significant positive effect on User Satisfaction at α = 0.05Keywords: Information Systems, System Quality, Information Quality, User Satisfaction
JPR volume 57 issue 1 Cover and Front matter

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