Reviewerly/exHarmony huggingface dataset:
ENHANCING STUDENTS' SPEAKING SKILL BY USING JCROSS AT SMK NEGERI 1 TANJUNGPINANG

The purpose of this research was to know whether or not JCross in Hot Potatoes can enhance the students' speaking skill at tenth-grade students of SMK Negeri 1 Tanjungpinang. The type of research used in this research was Collaborative Classroom Action Research. Some instruments used to collect the data were observation checklist, short interview, task, and test. The subject of this study was the tenth-grade students of SMK Negeri 1 Tanjungpinang Class X Technic and Computer Networking Program consist of 24 students. The researcher gave the pretest before teaching and learning activity. After the teaching and learning activity has been finished, the researcher gave the posttest to know the students' speaking skill achievement. It analyzed by using the speaking rubric, average, and student speaking skill classification. The use of JCross during the teaching-learning activity could enhance the students' skills in showing their conversation in the class. It can be seen from the teaching-learning process, the students' more active and enthusiastic in the teaching and learning speaking situation by using JCross. In the pre-cycle, the average score was 39.2 in the fair category. In cycle 1 the average score was 41.2 in the good category. In cycle 2, the average score was 43 in the good category. So, it can be concluded that JCross could and effective on enhancing the students' speaking skills at the tenth grade Technic and Computer Networking program of SMK Negeri 1 Tanjungpinang.
An Analysis of Oral Narrative Structure in Typically Developing Children Aged Two to Seven: A Case of Children in Reconstructing Stories

Age and narrative structures are two elements which tend to be used by most researchers in studying language skill. However, most tend to analyze it separately and with older participants. In fact, children have developed this skill since very young age.This study aims to analyze the oral narrative structure in typically developing children aged two to seven, as well as the influencing social factors. This research employs a descriptive qualitative method to describe and investigate the research questions. The findings show that the typically developing children aged two to seven are able to tell story structurally. However, from the six elements of narrative (abstract, orientation, complication, evaluation, resolution, and coda), most of the participating children’s narrations consist of three elements namely abstract, orientation, and complication. Among older ages, their stories become more complete. In addition, from the three central parenting methods consisting of children’s participation in daily routine, engagement between children and caregivers, and appropriateness of material given, the first aspect seems to play the most visible effect in shaping the children’s narrative skills. This study is expected to give contribution in examining narrative skill development, especially in young aged children. Thus, any possibilities of language disorder and impairment in children can be identified and treated earlier;---
Neural Networks Out-of-Distribution Detection: Hyperparameter-Free Isotropic Maximization Loss, The Principle of Maximum Entropy, Cold Training, and Branched Inferences.

Current out-of-distribution detection (ODD) approaches present severe drawbacks that make impracticable their large scale adoption in real-world applications. In this paper, we propose a novel loss called Hyperparameter-Free IsoMax that overcomes these limitations. We modified the original IsoMax loss to improve ODD performance while maintaining benefits such as high classification accuracy, fast and energy-efficient inference, and scalability. The global hyperparameter is replaced by learnable parameters to increase performance. Additionally, a theoretical motivation to explain the high ODD performance of the proposed loss is presented. Finally, to keep high classification performance, slightly different inference mathematical expressions for classification and ODD are developed. No access to out-of-distribution samples is required, as there is no hyperparameter to tune. Our solution works as a straightforward SoftMax loss drop-in replacement that can be incorporated without relying on adversarial training or validation, model structure chances, ensembles methods, or generative approaches. The experiments showed that our approach is competitive against state-of-the-art solutions while avoiding their additional requirements and undesired side effects.
Human Activty Recognition in Apple developing environment

This master thesis work is about the Human Activity Recognition field, which is a part of the Body Area Network. The main purpose of this thesis work is to be able to collect and analyze signals and parameters useful for recognizing human activities performed by users. To do this, MotionDataLogging, a WatchKit App was developed using an Apple Watch Series 2 combined with an iPhone 6; this app allows, by pressing a button, to collect accelerometer data (already deprived of the gravitational component), gyroscope, orientation of the device through the three Euler angles, at a fixed frequency of 50 Hz. The app also allows, through the authorizations provided by the user, to collect data relating to the user’s current speed through the device’s GPS and the user’s heartbeat obtained from the HealthKit package present in the iOS system. This data thus obtained are recorded through JSON format files and stored within the user’s iPhone within the iOS file system app. Data was collected on 2 male subjects in environments and uncontrolled modes, choosing a total of 8 activities such as: walking, running, indoor cycling, outdoor cycling, driving, elliptical and rowing machine, smoking. Data is then transferred and processed on an external server and processed using Python v.2.7 and his data wrangling, visualization and machine learning packages such as Pandas, Scikit and Matplotlib. In the processing phase, data sequences have been divided into windows of 5 seconds each, associating for each window the related heart rate and speed values (which are not possible to sample in a fixed way) through the relative timestamp obtained during the recording phase. Subsequently, features in the time and frequency domain were extracted from the windows, so as to obtain a dataset composed of 1054 instances, each containing 214 features. By applying a filter feature selection, in which highly correlated and low vari- ance feature are removed from the aforementioned dataset, the number of features is reduced to 21. It was also explored in this work HAR excluding heart rate and current speed: in that case, the features considered were 18. Having thus obtained the definitive dataset and split into training and test set, some supervised model were tuned and crossvalidated with stratified k-fold, with k=5. Model selected were : K Nearest Neighbor, Support Vector Machine, Decision Tree and Random Forest. The tuned model were also employed to perform HAR on the test set and the performance of the different classifiers were compared, with the best accuracy (98%) obtained by Random Forest. The result obtained suggest the use of Apple Watch as a quality-recording device, with high recognition rate even employing very simple classifying models.
Create and Download LoL Avatar VS Challenge Style

Do you want to create LoL avatar VS Challenge style? If so, you just clicked the right page and found what you are looking for. Using the program we ...
A Solution for Privacy-Preserving and Security in Cloud for Document Oriented Data (By Using NoSQL Database)

Cloud computing delivers massively scalable computing resources as a service with Internet based technologies those can share resources within the cloud users.The cloud offers various types of services that majorly include infrastructure as services, platform as a service, and software as a service and security as a services and deployment model as well.The foremost issues in cloud data security include data security and user privacy, data protection, data availability, data location, and secure transmission.In now day, preserving-privacy of data and user, and manipulating query from big-data is the most challenging problem in the cloud.So many researches were conducted on privacy preserving techniques for sharing data and access control; secure searching on encrypted data and verification of data integrity.This work included preserving-privacy of document oriented data security, user privacy in the three phases those are data security at rest, at process and at transit by using Full Homomorphic encryption and decryption scheme to achieve afore most mentioned goal.This work implemented on document oriented data only by using NoSQL database and the encryption/decryption algorithm such as RSA and Paillier's cryptosystem in Java package with MongoDB, Apache Tomcat Server 9.1, Python, Amazon Web Service mLab for MongoDB as remote server.
Robustness Comparison Study on Watermarking Techniques against Compression Attack

Digital watermarking technique is a way of protecting digital image from malicious attacks. Compression attack is one of the most common attacks for images uploaded into social media. Social media, such as Facebook and Twitter, implement compression method for all types of media, before it is successfully uploaded into their server. This is to reduce the network bandwidth and storage needed to store each media in their server. However, the implemented compression method tends to tarnish image properties from the image itself, which can be used to identify the image itself. This produces other problems, which are ownership and copyright issues. Digital watermark has been proposed in numerous researches, and this research is one of them, in preventing the stated problem. The chosen digital watermarking techniques must be able to withstand against compression attack done by social media. A comprehensive analysis towards the watermarking algorithms and watermarked images were done, by applying several designed experiments. Based on the results, it shows that both chosen watermarking techniques could not withstands against compression attack made by JPEG compression and social media compression. It indicates that watermarking technique was not a suitable method to be used in preserving the ownership and copyright of the image throughout social media.
THE EFFECTIVENESS OF THINK ALOUD STRATEGY IN STUDENTS’ READING COMPREHENSION OF DESCRIPTIVE TEXT

The research has aimed to know the effect of the think aloud strategy in students’readingcomprehensionof descriptive text at the tenth grade of SMAN 6 Tanjungpinang. To achieve the purpose, the researcher was entering classes and applies the strategy herself. This decision was facilitated the process of collecting data from the main source students. In this research, the researcher used a quasi-experimental method with pre-test and post-test.T-test results show that the Think Aloud Strategy is an effective strategy of reading because the T-test P-Value = 0.000 is smaller than the Alpha 0.05. The average pre-test experiment class result was 44.50 and the post-test experiment class was 88.50 with an average difference in results was 44.00, his indicate this strategy was able to improve student outcomes. The control class also got a good increase of 28.50.There were some advances where in the pre-test there were 2 students who scored 0 on the pre-test. The value of 0 was not found in post-test.
HUBUNGAN MINAT BACA DENGAN KEMAMPUAN MENYEBUTKAN UNSUR INTRINSIK CERITA OLEH SISWA KELAS V SDN 01 WONODADI

Abstract: Relationship in Reading Interest with the Ability to Mention IntrinsicElements of Stories by Class V Students of SDN 01 Wonodadi. The purpose ofthis study was to determine the positive relationship between reading interest and theability to mention intrinsic elements by fifth grade students of SD Negeri 01Wonodadi. This research method is a quantitative type of correlation. Correlationresearch is research conducted by researchers to determine the level of relationshipbetween two or more variables. The study used the type of True ExperimentalDesign type Pretest Posttest Control Group Design. Subjects were students of SDN01 Wonodadi class V, totaling 23 students. Data collection techniques are (1)interview method, (2) questionnaire (3) test. The results of the study of interest inreading multiple choice values on average 78.73 good criteria. The acquisition oflearning outcomes is effective if the average completeness limit is 70.Keyword: Interest in reading, Ability to mention intrinsic elementsAbstrak: Hubungan Minat Baca dengan Kemampuan Menyebutkan UnsurIntrinsik Cerita oleh Siswa Kelas V SDN 01 Wonodadi. Tujuan penelitian iniadalah untuk mengetahui hubungan positif antara minat baca dan kemampuanmenyebutkan unsur intinsik oleh siswa kelas V SD Negeri 01 Wonodadi.MetodePenelitian ini adalah kuantitatif jenis korelasi. Penelitian korelasi adalah penelitianyang dilakukan peneliti untuk mengetahui tingkat hubungan dua variabel atau lebih.Penelitian menggunakan jenis True Experimental Design jenis Pretest PosttestControl Group Design. Subyek adalah siswa SDN 01 Wonodadi kelas V berjumlah23 siswa. Teknik pengumpulan data adalah (1) metode wawancara, (2) angket (3)tes. Hasil penelitian minat baca nilai pilihan ganda rata-rata 78,73 kriteria baik.Perolehan hasil belajar efektif jika batas ketuntasan rata-rata 70.Kata Kunci: Minat baca, Kemampuan menyebutkan unsur intrinsik
Fantastic bots and where to find them

Research on bot detection on online social networks has received a considerable amount of attention in Swedish news media. Recently however, criticism of the research field of bot detection on onli ...
Continual Learning of Predictive Models in Video Sequences via Variational Autoencoders

This paper proposes a method for performing continual learning of predictive models that facilitate the inference of future frames in video sequences. For a first given experience, an initial Variational Autoencoder, together with a set of fully connected neural networks are utilized to respectively learn the appearance of video frames and their dynamics at the latent space level. By employing an adapted Markov Jump Particle Filter, the proposed method recognizes new situations and integrates them as predictive models avoiding catastrophic forgetting of previously learned tasks. For evaluating the proposed method, this article uses video sequences from a vehicle that performs different tasks in a controlled environment.
Education Reform for First Year Students of Faculty of Science and Technology

The “generic skill” concept was introduced for the enhancement of higher education. In turn, the concept of “bachelor’s abilities” was proposed by MEXT in 2008 as a fundamental concept for educational improvement in higher education. A program of “student employability” supported by MEXT was also started in 2010. This program required that students cultivate generic skills and obtain the ability to think about their own career path. In this paper, the relationship between these concepts is discussed. The Faculty of Science and Technology of Gunma University started the “students’ employability” program for first year students. The classes of “career planning” and “career design” were held as part of the program. The effects of the program were evaluated by a questionnaire. From the data of this questionnaire, it was confirmed that the students’ consciousness changed through the class.
LibGuides: Off-Campus Access: Streaming Video

This guide will help you locate information resources on online teaching and troubleshoot common issues with access to library resources from off-campus.
GSU Library Research Guides: Web Savvy -- General Guide: The Hill

A multi-page tutorial on evaluating web sites, for beginners and those who think they know. is an article in the Hill credible? Let's test it.
Development of the Mentor Training Program model for College Students Using GBS

In college, more and more students are suffering from academic difficulties due to their learning methods. So the need for mentoring programs about learning techniques is increasing. Accordingly this study seeks to develop program model for the mentor training for college students using GBS. To achieve this purpose, the core values, processes and support structures of the training program model based on GBS were derived and the program was drafted. second, the final version of the program model is developed through experts evaluation of it. In order to solve these research tasks, this study was conducted according to the design of the instructional systems development. The draft of the program model was organized by conducting a demand analysis on literature and case studies on education officials, students, and education experts. Through experts evaluation, the draft of the program model was modified and supplemented, and the feasibility of the research was secured. And then the improved program model was applied to the educational field. In the end, the final version of the program model was derived. This program model was developed to enable reserve mentor to acquire learning strategies naturally by deriving the process from the job processes of the expert in solving learning problems.
An examination on shape feature extraction based on the elliptic approximation for spatial arrangement of earthenware pieces by using 3D measured point clouds

In this paper, we propose a method to estimate the height of nonadjacent pieces of earthenware. To estimate the height of a piece of earthenware without finding its adjacent pieces, a point cloud in the cross-section of the earthenware is obtained, and the obtained point cloud is approximated by an elliptic curve. An ellipse approximated from the cross-section of one piece is compared with an ellipse approximated from the cross- section of another piece, and the relative height of the pieces is estimated from the positions of the most similar ellipses.
IMPROVING READING SKILL THROUGH LOOK AND SAY METHOD

This Research aimed to find the students’ reading skill achievement after teaching them through look and say method. The questions posed in this research are “how is the first-year students’ ability of SMAN 1 Tanralili Maros in reading English?” and “How is the improvement of the students’ reading skill through look and say method?”. The method applied in this study was pre-experimental which applied pre-test and post-test. The population of this research was the first-year students of SMAN 1 Tanralili Maros. The writer applied the purposive sampling technique, so the number of the sample was 30 students. The research of data analysis indicated that there some a significant increase in the students’ achievement in reading skill after teaching them through look and say method. It was proved by the result of the statistical analysis of the level significant 0,05 with the degree of freedom (df = n-1 = 29) indicated that t-test value was 10,57. While t-table was 2,120 where 10,57 > 2,045.Based on the fact the writer concluded that the reading skill of the first-year students of SMAN 1 Tanralili Maros that had got treatment by teaching them through look and say was significantly different before they got treatment.
Interpretation and knowledge modeling of patents

During the last years, the economy of knowledge has become more and more prevalent. This is represented by the large number of technology incubators and startups that are appearing in different places around the world. Many different cities want to be the next technology hub, and technology is affecting more and more traditional fields like agriculture. We live in a very special moment in time where all fields of human knowledge are being profoundly impacted by technological developments. Technology has value, and this value can be transformed into property, intellectual property. One of these forms of intellectual property is patents, which protect inventions. Letters of patent grant property rights over inventions. The great number of technology developments in recent years has generated many inventions. These inventions have economic impact and affect the human development. The intellectual property of these inventions is important for the development of the different actors in a global economy. This thesis study how patents are interpreted. A semiotic approach for the interpretation of patents is proposed (S.R.N. Reis et al, 2019). This approach views a patent as a message that contains several individual claims that represent individual patent rights. From a semiotic stand point each claim is then a sign that represents a patent right. The main contribution of the thesis is to describe in detail how claims are interpreted and represent the coverage visually with Venn diagrams. From the main contribution, four contributions are derived, as applications of the main body of work. The first derived contribution consists in gamification techniques to explain the concepts involved in patent interpretation. The second derived contribution is the proposition of metrics to evaluate patent quality. The third derived contribution is the application of the proposed metrics to evaluate the quality of patents by UAB and UFRGS. The fourth derived contribution is an approach for knowledge modeling of patents focusing on patent claims. The thesis concludes with a chapter that is a defense of the all-element rule, used to interpret patents. This thesis is a significant contribution to better understanding the rights provided by a patent, and therefore to write better patent documents.
Steganography Genetic Algorithm Hyperparameter Tuning through Response Surface Methodology

&#x0D; &#x0D; &#x0D; Steganography consists of hidding bits of an information source into a host source. In image processing, a common way of doing the hiding process is to break each byte from the message information and embbed into the message bytes in a way that the differences among the original host and the embedded one is minimized. A genetic algorithm can be used to find the proper combination of bits in order to minimize such differences, but some hyperparameters need to be optimized in order to get an optimized performance. This work investigates the application of Response Surface Methodology in order to find the best hyperparameters of a genetic algorithm applied to image steganography.&#x0D; &#x0D; &#x0D;
AN ANALYSIS OF TEACHERS' STRATEGIES IN TEACHING READING COMPREHENSION AT SMA NEGERI 5 TANJUNGPINANG

Reading considered being a not easy skill to deal with. As everything need strategies in achieving something, also does Reading comprehension. It needs an appropriate strategy in learning process. The objective of this research is to determine speaking strategies used by English teacher’s at SMA Negeri 5 Tanjungpinang. This research is descriptive qualitative research which means which the researcher describes the result of the data obtained by stringing words so that it becomes a clear explanation. The researcher used interview structured with question that have been prepared in advance. The data obtained processed with the help of the theory of experience that has been described. From the two English teachers the results of the study stated that the teacher used SQ3R, Scaffolding and QARs Strategies.