Reviewerly/exHarmony huggingface dataset:
Implementation of Smartphone Navigation Features by Combined Forces in Determining the Hazards of Terrorism in Poso

The presence of armed terrorist groups in Poso can threaten security conditions in the country, because their activities are considered quite dangerous for the surrounding community.This terrorist group did not hesitate to kill civilians who tried to deny its existence.Therefore, various joint military operations have been launched to crush this armed terrorist group, such as: Camar Maleo and Tinombala.However, until now this terrorist group is difficult to completely destroy, due to the condition of the operating area in the form of dense tropical rainforest and steep slopes.This makes it difficult for troops to carry out chases and hunting.Through smartphone technology, troops are able to read operating field conditions much more easily and can predict far-field conditions in front of them more quickly.The concept used is the incorporation of raster data, vectors and DEM which are processed using GIS (Geographic Information System) software with smartphone devices based on Android.The result is a smartphone device that has been inserted geospatial-based data used by troops in the operating field in the hunt for terrorists.
Conjetura y demostración en el aula en la formación de docentes

This research work shows how the processes of conjecture and mathematical demonstration in the framework of problem solving favor the development of mathematical thinking manifested by students of the Bachelor of Basic Education with an emphasis on Mathematics of the Santo Tomás University, in the modality from distance. The methodology of this research was qualitative in nature, through case studies of the participants, and was developed under the parameters of the didactic engineering of Michèle Artigue. The theoretical framework is based on the contributions of Gila Hanna (2000) regarding the functionality of the mathematical proof, the contributions of Harel and Sowder (2007) regarding the demonstration schemes developed by the students and the resolution of problems from the Alan Schoenfeld's perspective (1985).
Accelerating Translational Image Registration for HDR Images on GPU

High Dynamic Range (HDR) images are generated using multiple exposures of a scene. When a hand-held camera is used to capture a static scene, these images need to be aligned by globally shifting each image in both dimensions. For a fast and robust alignment, the shift amount is commonly calculated using Median Threshold Bitmaps (MTB) and creating an image pyramid. In this study, we optimize these computations using a parallel processing approach utilizing GPU. Experimental evaluation shows that the proposed implementation achieves a speed-up of up to 6.24 times over the baseline multi-threaded CPU implementation on the alignment of one image pair. The source code is available at this https URL
Really proud of my son's comedic timing. ...

Really proud of my son's comedic timing. He's only three but shows already that he has a great sense of humor
Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?

The main subject and the associated verb in English must agree in grammatical number as per the Subject-Verb Agreement (SVA) phenomenon. It has been found that the presence of a noun between the verb and the main subject, whose grammatical number is opposite to that of the main subject, can cause speakers to produce a verb that agrees with the intervening noun rather than the main noun; the former thus acts as an agreement attractor. Such attractors have also been shown to pose a challenge for RNN models without explicit hierarchical bias to perform well on SVA tasks. Previous work suggests that syntactic cues in the input can aid such models to choose hierarchical rules over linear rules for number agreement. In this work, we investigate the effects of the choice of training data, training algorithm, and architecture on hierarchical generalization. We observe that the models under consideration fail to perform well on sentences with no agreement attractor when trained solely on natural sentences with at least one attractor. Even in the presence of this biased training set, implicit hierarchical bias in the architecture (as in the Ordered Neurons LSTM) is not enough to capture syntax-sensitive dependencies. These results suggest that current RNNs do not capture the underlying hierarchical rules of natural language, but rather use shallower heuristics for their predictions.
An Efficient Local Block Sobolev Gradient and Laplacian Approach for Elimination of Atmospheric Turbulence

A long range observing systems can be sturdily affected by scintillations. These scintillations are caused by changes in atmospheric conditions. In recent years, various turbulence mitigation approaches for turbulence mitigation have been exhibiting a promising nature. In this paper, we propose an effectual method to alleviate the effects of atmospheric distortion on observed images and video sequences. These sequences are mainly affected through floating air turbulence which can severely degrade the image quality. The existing algorithms primarily focus on the removal of turbulence and provides a solution only for static scenes, where there is no moving entity (real motion). As in the traditional SGL algorithm, the updated frame is iteratively used to correct the turbulence. This approach reduces the turbulence effect. However, it imposes some artifacts on the real motion that blurs the object. The proposed method is an alteration of the existing Sobolev Gradient and Laplacian (SGL) algorithm to eliminate turbulence. It eliminates the ghost artifact formed on moving object in the existing approach. The proposed method alleviates turbulence without harming the moving objects in the scene. The method is demonstrated on significantly distorted sequences provided by OTIS and compared with the SGL technique. The information conveyed in the scene becomes clearly visible through the method on exclusion of turbulence. The proposed approach is evaluated using standard performance measures such as MSE, PSNR and SSIM. The evaluation results depict that the proposed method outperforms the existing state-of-the-art approaches for all three standard performance measures.
The Current State of the Art in Multi-Label Image Classification Applied on LEGO Bricks

This paper shows how the current state of the art in image classification performs on LEGO bricks. Currently the standard image classification models with deep learning are single label image classifiers. In this paper we will convert them to work on multi-label images and subsequently evaluate how well they perform. We show how well the classifiers will work on three different types of datasets. Experiments will be conducted on these three types of datasets to compare the performance of three different multi-label image classifiers. The main research question accompanying this paper is ``How well does the state of the art in image classification work on LEGO bricks?''. Three subquestions are set up to answer this question. The first will regard the existence of the image classifiers. The second subquestion will regard how big the influence is of real life aspects, such as deterioration of the LEGO bricks. The final subquestion will be about the performance on the datasets. After answering these questions and conducting the experiments, we came to the conclusion that the ResNext model performed the best on almost all of the categories. Based on the numbers of the results we can also conclude that the models should perform well with multi-label images of LEGO bricks.
Absurditas dalam Novella Si Benalu Karya Nescio

This paper aims to show the forms of absurdity in Nescio's novella, SiBenalu. The forms of absurdity in the novella are found through an analysisof how the main character Japi sees his surrounding life and other people'sjudgments of Japi, who is called Si Benalu in the text. To analyze theconcept of absurdity, the writer uses the concept of absurdity by AlbertCamus. The result shows a journey of awareness of the main characterJapi towards the absurdity of life. Japi, with his idealism, chooses tobecome a parasite to show his rebellion against a life that he considersabsurd. Besides, some forms of absurdity are also demonstrated throughJapi's interactions with his three friends, namely Bavink, Koekebakker, andHoyer. Japi's idealism makes him seen absurd by his friends. However, hisfailure to maintain his idealism makes his life ended tragically. Japi finallychooses to commit suicide, meaning that Japi consciously relinquishespower over his autonomous self to this absurd world.Key words: absurd, absurdity, parasite, rebellion
Improved Pohlig - Hellman using Sieve of Eratosthenes for Three-Pass Protocol Security Enhancement

Password-based is widely used as an exchange model in many areas such as smartphones, computers and other devices in which the keys are directly distributed to the recipients. Therefore, the implementation of cryptographic protocols without key exchange remains an undesirable area. The three-pass protocol is an instrument that enables sender and receiver to send encrypted data without any of the keys being transmitted to recipients. Furthermore, this process eliminates key exchange between senders and recipients when there is three ways direct communication using their own key.
Research on Smart City Double-link Data Storage and Sharing Model based on Alliance Chain

Most of the existing sharing models adopt blockchain technology.With the increase of data volume and participating nodes, the storage performance and sharing security of data cannot be guaranteed, which is prone to data leakage.To solve this problem, we propose a double-link data storage and sharing model based on the alliance chain, which combines off-chain data storage and on-chain data sharing.The off-chain database uses the Hadoop Distributed File System (HDFS) distributed file system based on mean shift clustering to store data, which improves the storage and access rate of the data.The consensus mechanism combining Delegated Proof of Stake (DPOS)and Practical Byzantine Fault Tolerance (PBFT) with copy deletion scheme is adopted to realize the safe sharing of data.The proposed model has good efficiency, security, and accuracy, and can effectively improve the problems existing in smart city data security management.
IMPROVING STUDENTS’ READING COMPREHENSION THROUGH MIND MAPPING TECHNIQUE OF VIII GRADE AT SMP N 5 TOLITOLI

The objective of this research is to find out whether mind mapping strategy can improve students’ reading comprehension or not..This research is pre experimental research design consist of one group pre-test and post-test. The Population of this research is the eighth grade of SMPN 5 Tolitoli in 2016/2017 academic year. The sample of this research is selected by using purposive sampling technique and the selected class is VIII b consisted of 21 students. In collecting the data, the researcher took from the result of pre-test and post-test. The researcher analized the data  statically.The result of the test showed that the students’ mean score in posttest 81.14 is higher than pretest 51.4  To know the significant difference between pretest and posttest, the researcher compared the value of t-counted and t-table by applying 0.05 level of significance for two-tailed test with 20 degree of freedom (21-1=20), the researcher found that the t c o unted (15,98) is higher than t table (2,080) and the hypothesis of this research is accepted.The researcher concluded that application mind mapping strategy can improve students’ reading comprehension of eight grade at SMP N 5 Tolitoli. Key words: improving reading comprehension , and mind mapping .
Digital Collaborator: Augmenting Task Abstraction in Visualization Design with Artificial Intelligence

In the task abstraction phase of the visualization process, including in design studies, a practitioner maps the observed domain goals to generalizable abstract tasks using visualization theory in order to better understand and address the users needs. We argue that this manual task abstraction process is prone to errors due to designer biases and a lack of domain background and knowledge. Under these circumstances, a collaborator can help validate and provide sanity checks to visualization practitioners during this important task abstraction stage. However, having a human collaborator is not always feasible and may be subject to the same biases and pitfalls. In this paper, we first describe the challenges associated with task abstraction. We then propose a conceptual Digital Collaborator: an artificial intelligence system that aims to help visualization practitioners by augmenting their ability to validate and reason about the output of task abstraction. We also discuss several practical challenges of designing and implementing such systems
Aplikasi Pengenalan Alat Musik Tradisional Serunai Berbasis Android

Traditional music is a cultural heritage that makes a characteristic of a country but now the demand is diminishing and one of them is the use of a stringed instrument. The musical instrument is a stringed musical instrument that can be popularized again because it has a unique regional attraction that must be preserved. Based on the problem above, the purpose of the application of the introduction of the musical instrument is to introduce one of the traditional musical instruments typical of Sumbawa with an Android-based system. This application is served in the 2D form and uses the game engine construct 2. This application is able to introduce and re-lift the appeal of a stringed traditional musical instrument.
An Overview of Research on English Intelligent Phonetics Based on Deep Learning

Abstract With the continuous improvement of the development level of the socialist m arket economy, education has been gradually pushed into a new historical period. The development of computer science and technology and the progress of language teachin g and learning methods, especially the rise of artificial intelligence, have opened up ne w ways for English language learning. The core of computer-assisted English language learning is speech recognition and evaluation technology, and speech recognition tech nology is the key. This paper takes deep learning as the main research perspective, co mbing and elaborating the concept, training process, specific models and applications of deep learning, in order to apply deep learning technology to English speech recognit ion system more maturely, thereby helping English learning Enhance the learning abili ty of English pronunciation.
Outlier detection in test samples and supervised training set selection

‎Outlier detection is a technique for recognizing samples out of the main population within a data set‎. ‎Outliers have negative impacts on classification‎. ‎The recognized outliers are deleted to improve the classification power generally‎. ‎This paper proposes a method for outlier detection in test samples besides a supervised training set selection‎. ‎Training set selection is done based on the intersection of three well known similarity measures namely‎, ‎jacquard‎, ‎cosine‎, ‎and dice‎. ‎Each test sample is evaluated against the selected training set for possible outlier detection‎. ‎The selected training set is used for a two-stage classification‎. ‎The accuracy of classifiers are increased after outlier deletion‎. ‎The majority voting function is used for further improvement of classifiers‎.
Generalizing Outside the Training Set: When Can Neural Networks Learn Identity Effects?

Often in language and other areas of cognition, whether two components of an object are identical or not determine whether it is well formed. We call such constraints identity effects. When developing a system to learn well-formedness from examples, it is easy enough to build in an identify effect. But can identity effects be learned from the data without explicit guidance? We provide a simple framework in which we can rigorously prove that algorithms satisfying simple criteria cannot make the correct inference. We then show that a broad class of algorithms including deep neural networks with standard architecture and training with backpropagation satisfy our criteria, dependent on the encoding of inputs. Finally, we demonstrate our theory with computational experiments in which we explore the effect of different input encodings on the ability of algorithms to generalize to novel inputs.
WORD SEARCH USING BOYER-MOORE ALGORITHM

Boyer-Moore is one of the algorithms used for the search words that is said to be one of the fastest to complete the search process. This project aims to implement hash table and see the effect it has in the searching process. A hash table is a table that contains key that maps to a value using a hash function. By doing so, the hash table should improve the speed of searching process. The vanilla version of Boyer-Moore will be used as the baseline to test the speed and accuracy of this method and check whether further improvement are needed.
Diminishing Spread of False Message in Twitter using Block chain and Machine Learning

A communication platform such as social media often works to change or influence opinions when it comes to political views. Microblogging platforms such as Facebook, Pinterest, Tumblr, Instagram enable users to con- tribute new postings which are publicly visible. Twitter stood out as overpowering news equipment, giving information to the world. It is very common for users to logo on to this site for immediate update on recent happenings like natural disasters, political events etc. Due to the enlarging reputation of Twitter, this aroused spammers to circulate false information. The proposed scheme seeks to reduce the spread of false information in Twitter using blockchain consensus algorithm, along with classification and machine learning algorithms. A "tweet" gets posted based on the validation provided by the nodes in the blockchain. The system works according to the sensitivity of the tweet.
Effect of Nutrition Education Based on Video and Leaflet Towards Nutritional Knowledge of 14th Junior High School Bekasi Student

The age-range of teenagers according to Regulation of the Minister of Health is 10 to 18 years. The most cause of nutrition problems in adolescents is due to lack of nutritional knowledge and lead to a wrong choice of what meals would be consumed because the level of knowledge in adolescents would affect behavior and habit on choosing meals at school or home. Nutrition education is highly important to encourage adolescent nutrition knowledge so it is necessary to be socialized as an effort to change the wrong eating habits (Sediaoetama, 2000). This study aimed to see the impact of nutrition education by using video and leaflet on student knowledge. This type of research is a quasi-experiment used a one-group pretest-posttest design. The number of samples were 88 students. This study used the Paired Sample Test. This research also used an Independent T-Test to found out which media is more effective. The average pre-test of the video group was 59.31 and the post-test was 72.05 with a standard deviation is 14.40. While in the leaflet group the pre-test average was 69.77, and the post-test was 82.95 with a standard deviation is 15.01. Results of the Paired Sample T-Test analyzed is 0,000 &lt; 0.05 for video. And p-value 0.003 &lt; 0.05 for the leaflet, which means there is an impact of nutrition education used video and leaflets on balanced nutrition knowledge of 14th Junior High School Bekasi Students. The result of Independent T-Test is leaflet more effective as a nutrition education media.
Web applications shouldn't break because an adblocker ...

Web applications shouldn't break because an adblocker is active in the browser. If your application is not functional because of a blocked statistical framework, then
MENINGKATKAN MINAT BELAJAR MATA PELAJARAN IPS MELALUI METODE PEMBELAJARAN AKTIF TEKNIK QUIZ TEAM SISWA KELAS VII SMP

This research is based on the background that students have a low interest in social studies learning characterized by many students who are less interested in paying attention to the teacher's explanation when the learning process takes place in class, learning tends to be teacher-centered with a monotonous method, and the willingness of students to read social studies books is lacking. This study aims to increase interest in social studies learning through the active learning method of the Quiz Team technique for grade VII.3 students of SMP Negeri 7 Muara Bungo. This type of research is a classroom action research (Classroom Action Research) which is carried out in two cycles. The results showed that the use of the active learning method of the Quiz Team technique could increase students' interest in learning with an average score in the first cycle of 70,63 and 84.53 in cycle II.
Usability Engineering and HCI for Promoting Root-Level Social Computation and Informatics Practice

Human-computer interaction talks about designing IT and computing technologies in the context of man-machine interaction. Man-machine interaction (MMI), human-machine interaction (HMI), usability experience design, human-centered designing, user-centered designing are the related areas and responsible for the designing and development of interface of electronics products viz. computers, laptops, systems, mobiles, smart phones, etc. Educational and training is important for the social as well as economic development in several contexts. Knowledge delivery system is the reason for development and also developed nation. A few current and emerging technologies which include big data management, cloud computing, green computing, data science, internet of things (IoT) are also allied with HCI and usability engineering in different contexts. India is a developing country, and more enhancement is possible with integration of IT. In the developed countries, various educational degree and training programs are running at Bachelors, Masters, and Doctoral degrees in the areas of HCI and usability engineering, but in a country like India, such programs are missing. In this conceptual paper, a few aspects of usability engineering and HCI have been explored for creating true IT-enriched society. The paper is also proposed some possible and future potential programs for a healthy social informatics world.
Practical Basis Of Formation Of Professional Values Of The Would-Be Managers

The axiological orientation of modern social thought is implemented in educational policy, considering a modern university graduate as a person, not just possessing specific competences and knowledge, but also capable of cooperating and constructive multicultural dialogue, interacting with people of different cultures and knowing the system of socially significant world values.In modern pedagogical science, considerable experience has been accumulated in preparing students of different specialities for valueoriented professional interaction, forming and developing the tolerance, intercultural communicative competences, educating the younger generations in a multicultural world.Nevertheless, the issue of formation the system of professional values of the would-be managers of restaurant and hotel service in the process of vocational training remains poorly developed today.So, the main aim of this research is to consider the modern Russian higher education from the point of view of the process of preparing wouldbe specialists for value-oriented professional interaction for determining the degree of their readiness for the adequate intercultural dialogue, and to develop the appropriate methodology and the elective course.