Reviewerly/exHarmony huggingface dataset:
An Efficient and effective File Hierarchy Attribute-Based Encryption Scheme in Cloud Computing

Cloud computing is one of the most promising application platforms to solve the explosive expanding of data sharing. In cloud computing, to protect data from leaking, users need to encrypt their data before being shared. It enables customers with limited computational resources to outsource their large computation workloads to the cloud, and economically enjoy the massive computational power, bandwidth, storage, and even appropriate software that can be shared in a pay-per-use manner. Access control is paramount as it is the first line of defense that prevents unauthorized access to the shared data. Cipher text-policy attribute-based encryption (CP-ABE) has been a preferred encryption technology to solve the challenging problem of secure data sharing in cloud computing. The shared data files generally have the characteristic of multilevel hierarchy, particularly in the area of healthcare and the military. However, the hierarchy structure of shared files has not been explored in CP-ABE. In this paper, an efficient file hierarchy attribute-based encryption scheme is proposed in cloud computing. The layered access structures are integrated into a single access structure, and then, the hierarchical files are encrypted with the integrated access Structure. The cipher text components related to attributes could be shared by the files. Therefore, both cipher text storage and time cost of encryption is saved. Moreover, the proposed scheme is proved to be secure under the standard assumption. Experimental simulation shows that the proposed scheme is highly efficient in terms of encryption and decryption. With the number of the files increasing, the advantages of our scheme become more and more conspicuous.
Reimagining technology in education

The opportunities for reimagining technology in educational settings will be explored at an education symposium at Federation University Australia’s Gippsland Campus.
How In-House Usability Testing Increases Product Development

Can the Product Development Process at Tcom be improved by moving usability testing in-house? The interest in this question lies in the agile transformation Tcom initiated in early 2018. Once agile ...
Object driven semantic multi-video summarisation based on ontology

Multi-Video summarisation frameworks aim to extract representative frames from a collection of videos. In the proposed framework, a multi-video summarisation model is implemented that detects key frames from a collection of related videos on the basis of user query object and ontology inference approach. The framework also develops a novel large-scale ontology for video genre identification based on the characteristics of genre-specific videos. The presence of ontologies aids in generating semantically relevant summaries compared to traditional approaches. Quantitative evaluation ensures that maximum information from the video collection on the basis of query is retrieved. Additionally, the ontology-based query inference approach reduces the computation time significantly. Qualitative results prove that the summary generated is concise, informative and semantically relevant.
Improving Students’ Vocabulary Achievement By Using Scrabble Game at Tenth Grade Students of Madrasah Aliyah Tahfizhil Quran Yayasan Islamic Center Sumatera Utara.

This study was an action research study. It was done in two cycles, from 23th of July to 23th of August 2019. Each cycle consisted of three meetings. The steps of the research were reconnaissance, planning, action and observation and reflection. The subjects of this research were 40 students of X MIPA class. The data were in the form of qualitative and quantitative data. The qualitative data were collected through observing the teaching learning process, and taking photographs of the teaching learning process. The quantitative data were collected from questionnaires and the students’ vocabulary score of pre-test and post-test to see the improvement of the students’ vocabulary mastery. The instruments for collecting data were observations checklist, questionnaire, and a camera.The research findings showed that vocabulary mastery of most students improved after Scrabble Game was used in the teaching and learning process. It was indicated by the increase of the mean of students’ vocabulary score in the pre-test and post-test (61,6 to 81,4). The students’ involvement and classroom interaction during the implementation of the game were improved. It was showed by students’ enthusiasm during the game. They tried to be the first winner and raised their competitiveness among them. In addition, the implementation of Scrabble Game and the complementary actions were successful to help the students memorize and understand new words easily. In conclusion, the students’ vocabulary mastery was improved through the implementation of Scrabble Game.
Forecasting Volcanic Eruptions with Artificial Intelligence

A machine learning algorithm automatically detects telltale signs of volcanic unrest.
THE STATISTICAL PARABOLIC PROJECTION METHOD UNTUK FORECASTING DALAM PENERIMAAN MAHASISWA BARU UNIVERSITAS ISLAM INDRAGIRI DI MASA MENDATANG

The purpose of this study is to help predict the number of prospective new students who will register in the academic year 2023/2024 until the academic year 2026/2027. The research method uses the Statistical Parabolic Projection Method with data on the number of new student registrations of UNISI (Indragiri Islamic University) Tembilahan over the past 7 years. Research Results Based on Research Equations formed in predicting the number of new students who will register in the academic year period 2023/2024 are 651 students, 2024/2025 are 818 students, 2025/2026 are 1001 Students, 2023/2024 are 1200 Students. Suggestions for future researchers who are still in the same theme as this research can be compared with other methods so that the resulting output can be more precise and accurate.
Study on Light and Heavy sounds in Teaching Chinese as a Foreign Language (TCFL)

Under the belt and road initiative, the number of International students coming to China for learning has broken through 460,000 since 2013. On this background, the learning of spoken Chinese plays a crucial part in the development trend of teaching Chinese as a foreign language (TCFL). In this study, the article analyzes the learning issues about the light and heavy sounds in teaching Chinese as a foreign language, put forward some proposals and explore some approaches to improve Chinese learning for International students.
Using the ε-constraint method to solve the multicriteria path planning problem

A common situation in a multicriteria path planning problem is the existence of non-dominating solution paths known as the Pareto-optimal solution set. As the number of Pareto-optimal solutions increase with the problem size, it is hard for the decision maker to make decisions that reflect their needs without prior knowledge. A common approach that takes into account user preferences is the ε-Constraint Method, which searches for the best solution in the Pareto frontier. In this work, we test our solution method on 2-objective and 3-objective grid based traveling salesman path problems.
En cross-check i nacken, hör det till ishockey? En studie om normaliserat hockeyvåld och rättspluralism

The aim for this study is to examine and analyse the two legal systems controlling hockey violence from a legal pluralism point of view and examine why the hockey violence exists. The questions this study aims to answer are; Are the legal norms considered to properly deal with hockey violence? How is the relation between the two legal systems? What do hockey players think of the legal norms and why do they practice hockey violence? The amount of research on this phenomenon was insufficient, especially research regarding Sweden, so by using the methods focus group and case study together with the theoretic framework of legal pluralism and normative action and role acquisition, the questions were answered with a content analysis. Both the focus group and the case study showed that the legal norms from the judicial system weren’t appreciated, and the Swedish ice hockey disciplinary board were seen as equal to the judicial system or parallel to it, since the judicial system were seen as a system for other offences than ice hockey. The relation between the two legal systems are complex and fall into the criteria of legal pluralism. When the judicial system acts within ice hockey it creates irritation and anger, arguing that it is enough with the punishments from the disciplinary board. The normatively created world the role as a hockey player exists in consists of a norm involving hockey violence. The norm of accepting hockey violence was according to the hockey players tradition and necessary for the sport to stay alive. This subject needs more research with other methods for all the factors to be discovered and explained before a nuanced answer containing all factors for hockey violence and its legal systems can be entirely explained. (Less)
Anti-motion Blur Method Using Conditional Adversarial Networks

In general, taking a high-speed object such as projectiles with a low-speed camera are accompanied by artifacts called so-called Motion blur. Motion blur is a phenomenon that the boundaries of a moving object diffuse unclearly. Motion blur is divided into a ‘captured motion blur’ and ‘display motion blur’. The formal occurs when the object moves faster than the camera shutter speed, and the later occurs due to the limitations of the display. In this study, we focus on the captured motive blur caused by the shutter speed of the camera. Generally, leveraging expensive high-speed camera equipment or using a de-blurring algorithm has been proposed to remove this type of blur. However high-speed cameras are too costly for the End-user to use, and de-blur algorithms have a problem that it takes quite a while to get remarkable results. Therefore we propose a method that uses a machine learning technique to obtain clear images even in low-end single RGB cameras with low frame rate.
ANALYSIS OF WEAK KEYS ON DES ALGORITHM

A cryptographic system is to be implemented in an information processing system. Many of IT applications will be realized as embedded systems, which reiy on security mechanisms.There is a particulariy simple relationship between the operations of decipherment and encipherment. One of the application of cryptographic methods to protect information-processing system is Data Encryption Standard (DES).If cryptography is to be used to protect communications between a terminal and host processor;the key is very important.DES has a 56-bits keys. The security of an algorithm rests in the key; using a cryptographically weak process to generate keys, the whole system is weak. Some encryption algorithms have weak-keys, specify keys that are less secure than the other keys. This system analyze weak-keys on Data Encryttion Standard such as weak-keys, semi-weak keys and possible weak-keys depend on DES algorithm.
Innovative technology three-dimensional modeling in the digital environment ligrogame for the development of the natural – Mathematical concepts in preschool children

The article discusses the possibilities of electronic content modeling 3D LigroGame for the development of children’s natural and mathematical concepts in the framework of the activities of the author’s program of additional education "Play and model in LigroGame".
High secured E-Voting System

In any developing country democracy plays an important role where a leader for a country is elected by the citizen. One of the main issues in the conventional voting system is that it consumes lots of man-power as well as resources and the preparation have been started many days before the commencement of the election. During this preparation some people may involve in illegal arrangement with each other or try to replace with their henchmen in this process to win the election. It is a confidential process so it must be transparent, Meddle-Proof, Usable, Authenticated, Accurate, Verifiability and Mobility. There are some drawbacks in conventional voting system such as damage of machines, chances of violence, dummy voting and problem of proper monitoring. Manual voting system has been followed in many parts of our country so people could not poll their vote because it is place oriented and there is region wise distribution, voters need to reach the place of voting. To overcome these problems a new confidential E-Voting system is introduced which provides security to the election system by detection and recognising voter’s face who is going to cast his/her vote. In this system the voter’s face is detected, captured and stored in the database then match the captured image with the image already stored on database to recognise the person. If match occurs then the person is allow to cast their vote once the vote is casted the same person will not be permitted to cast votes this provide security against duplicate vote and fraudulent and make the system more efficient and user friendly.
Improving The Students’ Ability In Writing Skills Through Textless Comic Strip At The Ten Grade Of Sma Cerdas Murni In Academic Year 2018/2019

This research was aimed to improve the Students’in writing narrative text by using textless comic strip and to find out if there was the significant improvement of the students’ ability in writing narrative text.The sample of this study was tenth grade students of SMA Cerdas Murni which consist of 29 students in academic year 2018/2019. This research was done in two cycles. Each cycle consisted of four steps namely, planning, action, observation and reflection.The result of data analysis showed that there was an improvement on the students’ ability in writing narrative text in each cycle. The mean of students’ score in pre test was 60.52, in the post test I was70.52, and the post test II was 79.1In the pre test there were 34.5% (10 of 29) students who passed minimum score achievement. In the post test I there were 55.2% (16 of 29 students) who passed minimum score achievement; The improvement from pre test to post test I were 16.52%. In post test II there were 82.5% (24 of 29 students) who passed minimum score achievement. The improvement from post test I to post test II were 14.26%. Based on the data, it was concluded the students’ ability in writing narrative text was improved by using textless comic strip. It indicates that using textless comic strip can improve the students ability in writing narrative text.
Improving the Students’ Speaking Skills Through Inside-Outside Circle Strategy at the Second Grade of Cerdas Murni Junior High School Tembung

The objective of this reasearch was to improve the students speaking skill through inside-outside circle strategy. The subject of this research were 26 students at eight grade and the collaborator was English teacher of SMP Cerdas Murni Tembung in academic year 2018/2019. This research was conducted by using classroom action research by Kemmis and Mc Taggart which consisted of 2 cycles. There were two kinds of technique in analyzing data, first was qualitative data which obtained from observation, interview, field note and documentation that was analyzed by using Miles and Huberman technique, second was the quantitative data were obtained from speaking test that was analyzed by using t-test.The result of this research showed that there was an improvement of students’ speaking skill. It could be seen from the data analysis that the pre-test of the students mean score was 61,15 in which there were only 4 or 15% of 26 students who passed the minimum passing grade. In post-test I, the mean score of students’ score was 68,80 in which there were 16 students or 61% of the students who passed the minimum passing grade. At the last, the mean score of students’ score in post-test II was 76,38 that there were 21 students or 80% of the students who passed the minimum passing grade. It indicated that inside-outside circle strategy can improve students’ speaking skill. It means that there was a significant effect of applying inside-outside circle strategy at eight grade.
Design and Implementation of SOA-based Technical Service System for Road Transport Vehicles

Abstract To promote the unified declaration and review of standard-compliant vehicle models more effectively and increase the efficiency of declaration of standard-compliant vehicle models, this paper designed a SOA-based road transport vehicle technical service system and realized its related functions. In the SOA-based system, the loose coupling relation between functions of applications and the adoption of open standards makes the system easy to maintain and has considerable business flexibility. The application of road transport vehicle technical support service system effectively meets the functional requirements of carmakers, car testing agencies, reviewers and system administrators, provides a good business platform for declaration of standard-compliant vehicle models and effectively makes related activities more IT enabled.
Öğrenme kuramları ışığında çeviri eğitiminde mobil uygulamaların değerlendirilmesi

Today, with the ever-growing technology in our pockets, controlling and adapting to daily life is getting easier. The programs and software used on the desktops and laptops give their places gradually to the mobile applications designed to be used via smartphones, tablets and similar mobile devices. The main purpose of this study is to evaluate the usage of the mobile applications supportive for language competence of the students of translation studies with the perspective of learning theories. It is aimed to find answer to the questions of how could the mobile learning theories be explained in relation with translation education, how could the mobile applications are used for translation education and from which perspectives, the mobile applications could contribute to the students’ competencies. The mobile learning theories have been developed within the basis of learning theories as it is seen from learning related studies. In this study, the usage of mobile applications by the students of translation studies is evaluated in the light of learning theories. A yes-no question survey is applied to 100 Applied English and Translation Program students, and the results are evaluated according to the descriptive content analysis. The findings of the research reflect the contributions of mobile applications to the translator/interpreter candidates’ competencies in terms of self-regulated education, more enjoyable and competitive environment for learning, and create a more motivating environment to be willing to learn. As a result, it is suggested that mobile applications may be used as educational materials in translation education. Indeed, the results indicate that different studies about the usage of mobile applications as educational materials can be carried out.
Philosophical Dimensions In Paulo Coelho’s The Zahir

In this paper Research Scholar focuses on Philosophical aspects of Paulo Coelho in his work ‘The Zahir’. Paulo Coelho is world famous writer and best seller of his work ‘The Alchemist’. He spreads philosophy of life through his works. In his all works, readers find the different outlook towards life, and through his works, readers inspired to live in a unique way and here Research Scholar attempts to highlight those lessons oflife in his work ‘The Zahir’.
Atmospheric Light Estimation using Particle Swarm Optimization for Dehazing

For the past decade, many researchers have been working towards the improvement in the visibility of single hazy images, using the haze image model. According to the haze image model, the hazy-free image is restored by estimating the atmospheric light and transmission from a hazy image. The objective of this proposed work is to improve the perceptibility by decreasing the density of haze in the hazy images. The research work was carried to estimate the optimal value of atmospheric light by tuning the weights using a bioinspired technique called Particle Swarm Optimization (PSO) based on the objective of minimizing the fog density. We have selected a fitness function or objective function which incorporates all statistical features to differentiate a clear image from the hazy image. The results are validated with the state-of-the-art, by measuring fog density of the restored image using Fog Aware Density Evaluator (FADE). Also, the results are validated by measuring the Peak signal to noise ratio (PSNR) and structural similarity index (SSI) using ground truth images from Foggy Road image database (FRIDA). This research work demonstrates better results qualitatively and quantitatively.
Mid-Level Feature Extractor for Transfer Learning to Small-Scale Dataset of Medical Images

In fine-tuning-based transfer learning, the size of the dataset may affect the learning accuracy. When a dataset scale is small, fine-tuning-based transfer learning methods use high computing costs, similar to a large-scale dataset. we propose a mid-level feature extractor that only retrains the mid-level convolutional layers, resulting in increased efficiency and reduced computing costs. This mid-level feature extractor is likely to provide an effective alternative in training a small-scale medical image dataset. The performance of the mid-level feature extractor is compared with performance of low- and high-level feature extractors, as well as the fine-tuning method. The mid-level feature extractor takes shorter time to converge than other methods, and it shows good accuracy, obtaining an area under the ROC curve (AUC) of 0.87 in untrained test dataset that is very different from training dataset.
Collaboration Skill Of Biology Students At Universitas Islam Riau, Indonesia

Collaboration skill is known as the ability of someone to work both effectively and take responsibility for making the commitments that are necessary to achieve a common goal. Collaboration skills are important for students because, through collaboration skills, students are expected to achieve meaningful results when they experience real life in the community. The purpose of this research is to identify the collaboration skill of biology students at the Universitas Islam Riau in the human anatomy and physiology class. The research method used was a survey of 112 participants. Data collection is done by observation using observation guidelines. The collaborative skill indicators studied include responsibility, respect others, contributes, organizes work, works as a whole team. The results show that the indicators of collaboration skills from the lowest to consecutive are works as a whole team (58.5), organizes work (60.1), contributes (64.9), respects others (75), responsibility (76.4). In general, student collaboration skill is still in the good category (66.98), and herefore, a proper learning strategy is needed to improve student collaboration skill.