Reviewerly/exHarmony huggingface dataset:
Peningkatkan Keterampilan Menulis Permulaan melalui Buku Harian Bergambar Siswa Kelas II B SD Timbulharjo Sewon Bantul

This research aims at improving the 2nd grade students’s early writing skills using Illustrated Diary in SD Timbulharjo. The subjects were all students of 2nd class (25 students). The object of this research was the enhancing of 2nd B class students's early writing skills. This research use the Kemmis and Mc. Taggart’s design. The data collection’s methods using observation, test (performance), and documentation. Data were analyzed using qualitative and quantitative descriptive. The results shows that the IInd B class student’s early writing skills have enhanced during the action. The results obtains from the comparison of the class’s completeness percentage on Pra Cyle, Ist Cycle, and 2nd Cycle. Student’s completeness percentage on Pra Cycle was 36% (9 students) with “less” criteria have increased to 52% (13 students) on Cycle Ist with “enough” criteria. On Cycle IInd, student’s completeness percentage have increased to 76% (19 students) with “good” criteria.
POSSIBLE IMPLICATIONS OF INFLUX ROBOTISATION AND THE AI FOR EDUCATION AND PROFESSIONS

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 9826-9830ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.2400Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Hybrid multiple watermarking technique for securing medical images of modalities MRI, CT scan, and X-ray

In order to contribute to the security of sharing and transferring medical images, we had presented a multiple watermarking technique for multiple protections; it was based on the combination of three transformations: the discrete wavelet transform (DWT), the fast Walsh-Hadamard transform (FWHT) and, the singular value decomposition (SVD). In this paper, three watermark images of sizes 512x 512 were inserted into a single medical image of various modalities such as magnetic resonance imaging (MRI), computed tomography (CT), and X-Radiation (X-ray). After applying DWT up to the third level on the original image, the high-resolution sub-bands were being selected subsequently to apply FWHT and then SVD. The singular values of the three watermark images were inserted into the singular values of the cover medical image. The experimental results showed the effectiveness of the proposed method in terms of quality and robustness compared to other reported techniques cited in the literature.
Computational Analysis to Reduce Classification Cost Keeping High Accuracy of the Sparser LPSVM

Vapnik's quadratic programming (QP)-based support vector machine (SVM) is a state-of-the-art powerful classifier with high accuracy while being sparse.However, moving one step further in the direction of sparsity, Vapnik proposed another SVM using linear programming (LP) for the cost function.This machine, compared with the complex QPbased one, is sparser but poses similar accuracy, which is essential to work on any large dataset.Nevertheless, further sparsity is optimum for computational savings as well as to work with very large and complicated datasets.In this paper, we accelerate the classification speed of Vapnik's sparser LPSVM maintaining optimal complexity and accuracy by applying computational techniques generated from the "unity outward deviation (ζ)"-analysis of kernel computing vectors.Benchmarking shows that the proposed method reduces up to 63% of the classification cost by Vapnik's sparser LPSVM.In spite of this massive classification cost reduction, the proposed algorithm poses classification accuracy quite similar to the stateof-the-art and most powerful machines, for example, Vapnik's QPSVM or Vapnik's LPSVM while being very simple to realize and applicable to any large dataset with high complexity.
Research on Teaching Reform of Algorithm Analysis and Design Based on Obe

The OBE teaching theory is the core theory of international engineering education. Algorithm analysis and design is one of the core courses of computer science. According to the main problems in teaching, the teaching objectives, teaching resource , assessment methods and curriculum attainment of the course under the OBE model were reformed to further improve the quality of the course and the quality of talent training.
A STUDY ON STUDENTS’ MOTIVATION IN STUDYING ENGLISH AS ENGLISH FOREIGN LANGUAGE (EFL) AT STIKES CENDEKIA UTAMA KUDUS

English is studied as a second language and it has crucial role in every aspect, especially in educational aspect. In the millennial era, students not only use English in their real communication, but they also use it to communicate on several application or websites. English need to study by the students at the university level because it will skilled them for their future. This study attempts to know what kinds of motivation had by the students in studying English at STIKES Cendekia Utama Kudus.  The design of this research is descriptive qualitative. It is conducted to find the students’ motivation in studying English; either student used extrinsic motivation or intrinsic motivation. The population in this research was all of the students who take an English Subject on even semester in the academic years 2018/2019, while the sample in this research was 139 students. The researcher used Likert Scale rating score as the instrument and also questionnaire which were adapted from Gardner’s Attitude or Motivation Test Battery (AMTB). The finding explained that extrinsic motivational level is higher than intrinsic motivational level. The extrinsic motivational level stands in point 4.14, while intrinsic motivational level stands in point 4.04. Although, total score of extrinsic motivational lever is higher than intrinsic motivational level, both of them are in a high level. This result showed that students have good motivation, both in Intrinsic and Extrinsic motivation. It will be useful for the lecturer to make learning English better on their future.Key Words; Intrinsic Motivation, Extrinsic motivation, EFL, AMTB
DYSFUNCTIONAL FAMILY AS ONE OF THE FACTORS OF JUVENILE DELIQUENCY

The essence of the family’s upbringing potential, its peculiarities, the influence on the development of the child’s personality are highlighted, the problems of the impact of a disfunctional family on juvenile delinquency in the conditions of building civil society in Ukraine are analysed.
GO Loss: A Gaussian Distribution-Based Orthogonal Decomposition Loss for Classification

We present a novel loss function, namely, GO loss, for classification. Most of the existing methods, such as center loss and contrastive loss, dynamically determine the convergence direction of the sample features during the training process. By contrast, GO loss decomposes the convergence direction into two mutually orthogonal components, namely, tangential and radial directions, and conducts optimization on them separately. The two components theoretically affect the interclass separation and the intraclass compactness of the distribution of the sample features, respectively. Thus, separately minimizing losses on them can avoid the effects of their optimization. Accordingly, a stable convergence center can be obtained for each of them. Moreover, we assume that the two components follow Gaussian distribution, which is proved as an effective way to accurately model training features for improving the classification effects. Experiments on multiple classification benchmarks, such as MNIST, CIFAR, and ImageNet, demonstrate the effectiveness of GO loss.
PENGEMBANGAN MEDIA PAPAN INTERAKSI MANUSIA PADA PEMBELAJARAN TEMATIK KELAS V SDN MADUSARI 3 PRAMBANAN SLEMAN

The aim of the research is to produce learning media “human board interaction” on the thematic learning of fifth grade of SDN Madusari 3 Prambanan, Sleman. Based on the description of the theory and the mindset, the hypothesis in this study is human interaction board media proper to use as a media in the thematic learning which is charged with social science, and be able to create pleasant learning atmosphere otherwise be able to increase the active participation of the learners. The research used to research and development using a development research model by Borg and Gall. The development of the procedure consists of 9 stages are research and data collection, planning, development of initial produce, an initial field trial, product revision, an operation field trial, and final product revision. The population of the research is all of the students of fifth grade SDN Madusari 3 Prambanan Sleman which amount 22 students. The research sample covers the entire population. The researcher used data collection techniques by a questionnaire, observation, and interview with the teacher and the students to find out the situation during the learning process. The data analysis technique used quantitative descriptive statistics. The result shows that the media is proper to use. This is based on the percentage obtained from the learner validator. The percentage of material validator results from lecturer is 80%, worthy of use, the percentage of validation result from the teacher is 83,33%, worthy of use. The percentage of validation results from the lecturer is 77,33%, worthy of use. The percentage of validation results from the teacher is 82,66, worthy of use. The percentage of student evaluations obtained during limited testing is 93% worthy of use. During the field trial 94%, worthy of use. In the operational field, trials produce a percentage value of 94% worth of use.
A Novel Approach for Collaborative Spam Filtering to Protect Mail box

The massive unsolicited emails sent is normally said to be spam.It is quite not possible to describe the word spam more accurately.In all of its forms, a spam is considered as one of the difficult challenges of the linked generation.This in return drove a massive amount of research towards contradicting it.The mentioned effort led to the gradual decline of spamming activities which made many to end up believing spam is no longer a threat.However, recent thorough studies and statistics have concluded otherwise.In fact, about 66.34% of all e-mails sent worldwide are considered spam e-mails according to Kaspersky's Spam and Phishing Statistics for the first quarter of 2014 which leads us to conclude that it is still an evolving phenomenon and is still an active cyber threat E-mail these days has become a popular and most favored means of communication over the Internet.The extent of email received and the amount of spam is constantly growing.Spam mails are defined as electronic messages posted to thousands of recipients usually for the purpose of advertisement or profit.Some of the spam emails modify as a phishing emails seeking users' confidential data and accessing their bank accounts for financial fraud.Phishing is a fraudulent attempt aimed at capturing sensitive information such as usernames, passwords and credit card details by impersonating a trustworthy entity in an electronic communication.Apart from examining the attachments, the content alone may also be prone to word de-obfuscation technique to fool the spam filters [9]. INFLUENCE OF SPAM/PHISHING ATTACKSSpear Phishing attacks are the new trends in spam landscape which targets the executives and higher officials whom have access to proprietary company data and corporate banking credentials.These confidential data are obtained from them by forwarding spoofed phishing mails and take control over the entire organization and may also use their identities to obtain information from the other users The reports from Trend Micro in July 2011 states that out of the total volume, the average share of spam with malicious attachments 23 per day was 2.14 percent.Spam without attachments, including messages that have been embedded with malicious links, can be further classified into job, medical and commercial, and scam spam.For the purpose of validating the performance of Spamdoop, we replicated a spammer's behavior by constructing a spam campaign generator that imitates a commercially available spamming tool.
Rancang Bangun Aplikasi Kamus Bahasa Besemah-Indonesia Berbasis Android

Design the dictionary Besemah - Indonesia. Still in the form of a thick book in which only in the local library. So in need of engineering dictionary besema-indonesia based android.In providing information about the language besemah-indonesia to the general public and public tourists. A more effective dan efficient dictionary by replacing a thick book dictionary into an android based dictionary app.this research aims to build a dictionary application besemah-indonesia based android. An android app that uses and eclipse as design and java for programming languages.
Uniform Titles for Newspapers: A Proposal

Following a discussion of some basic problems associated with the cataloging of newspapers, this article discusses the main protocols used by the U.S. Newspaper Project in dealing with title variations. A general discussion of the concept of uniform titles as they are currently applied to newspapers is then presented, and this is followed by a proposal to revert to the “traditional” concept of uniform titles. It is argued that this change would be beneficial to both the creators and the users of newspaper bibliographies. A possible format is suggested.
Measuring of Tropical Cyclone Intensity Using Fractal Dimension

The 3-dimension fractal dimension of an object represents roughness of the object. The object with higher fractal dimension is rougher than the object with lower fractal dimension. For an ensemble of clouds in satellite images, a high value of fractal dimension indicates that the difference between the heights of cloud tops is large. In this article, the fractal dimension of tropical cyclone in the satellite image was investigated in order to find a relationship between tropical cyclone intensity and its fractal dimension in satellite image. Nine tropical cyclones in the year 2006 were selected as study cases. An improved variation method for fractal dimension calculation was proposed.
DBL: Deniable Blockchain Ledger

In this paper, we construct a deniable blockchain ledger (DBL), which enhances blockchain with a new feature, deniability. The owner of the deniable blockchain ledger can produce a new blockchain copied from the original blockchain and replace some blocks with fake blocks. So, the original transaction data are hidden and our scheme can keep transaction privacy from outside coercion. The transaction data on DBL can also be redacted or be forgotten. Our DBL construction uses the Chameleon Hash as the hash function to make a block be redactable since it is easy to find a collision with the trapdoor. So, the hash value of the redacted block is still the same to the original block and the original following block can still associated to the generated fake block. Even an attacker can collect multiple blockchains, it is impossible for the attacker to determine which blockchain is the original one. We also provide two scenarios and the corresponding algorithms of generating fake blocks. One is that every user is normal user and the other is that some users are compromised. We are currently implementing the DBL and hope that our construction can protect data privacy in the blockchain.
Advanced Hashing and Indexing Technique used in Cryptographic Data Retrieval from Cloud

The private data must be encrypting before outsource. The data which is being uploaded on cloud space is of supreme priority to enable the encryption of the data. Here the paper initiates the analysis about the similar approaches that are recently developed for cryptographic data retrieval from cloud. The system uses concept of TF-IDF model by which effective keywords are being extracted from text files that are repeatedly occurs, and their hashes get stored in Inverted Index. Thus the feature makes data accessible by searching through keywords, we propose model, by using SHA1 (Secure hash Algorithm) hash generation methodology, and DES (Data Encryption Standard) algorithm for the encryption of data. For the relevant retrieving of data from cloud, KNN (K-nearest neighbour) based searching is used. The proposed scheme achieves the identical security level by comparing the system with the existing ones and better performance. By doing this query complexity, functionality and the systems efficiency get improved.
A novel method on suitable size selection of artificial circular targets in optical non-contact measurement

The artificial circular targets are used commonly in optical measurements including camera calibration and 3D object reconstruction. In the present study, the researchers usually depend on experience and intuition to manually determine the size of the circular targets, which is found to be important to the accuracy and efficiency of image position measurement. A larger target size may lead to a larger eccentricity error of the center of a circular target, while a smaller target is disadvantageous for image processing. Therefore, a suitable target size is required to guarantee a reliable image point measurement. In this paper, the problem of circular target size selection is investigated. Firstly, a theoretical model about the perspective imaging of a circular target is obtained. This mathematical model further leads to a novel and practical method for selecting a proper size of circular targets. Finally, experiments using circular coded targets are performed to validate the correctness and effectiveness of the proposed method. The experimental results indicate that the measured semi-major axis of the image ellipse corresponding to the circular target agrees well with its theoretical design value, and the existing differences are mostly within the tolerable range of the measurement error, as the maximum difference is estimated to be about 0.5pixel. Without any calibration parameters and high-cost equipment, this method shows significant potentials in various optical measurements.
Daily Trading Patterns in the Bitcoin/Euro Market

Using bitcoin/euro transaction data from three exchanges of varying size and segmenting the Bitcoin transactions into periods based on market conditions, it can be seen that trading activity patterns change with market conditions and the Bitcoin exchange used. There is only limited evidence in support of a reduction in trading at the weekends which also depends on the exchange and market conditions. There is evidence to support Kurihara and Fukushima (2017) and Baur et al (2019) who find lower trading volume at the weekends, which is a direct reflection of fewer large transactions, as we find that for all three exchanges and in all market conditions the number of large transactions declines at the weekend.
OAuth 2.0 and API Authorization

Modern applications are often designed around APIs. APIs enable applications to reuse logic and take advantage of innovative services. APIs provide access to valuable data or services, but they typically need to restrict API access to authorized parties. Applications therefore need authorization to call APIs. If an application wants to call an API on a user’s behalf to access resources owned by the user, it needs the user’s consent. In the past, a user often had to share their credentials with the application to enable such an API call on their behalf. This gave the application an unnecessary amount of access, not to mention the responsibility of safeguarding the credential! In this chapter, we will cover how the OAuth 2.0 framework provides a better solution for authorizing applications to call APIs.
Cyber Security Threats in Supply Chain and its Solutions

There is no denying of the fact that ICT has been helping organizations in improving their business processes. One such business process is that of supply chain management. Use of ICT in supply chains has been influential in increasing efficiencies, agility, flexibility, transparency and hence profits. However, this transparency is accompanied by several negative consequences- one of it being cyber security. Organisations usually have perimeter defense mindset but the most dangerous attacks come from within the system. This article discusses some of the cyber security threats that may originate from within the supply chain and then goes on to classify them on the risk impact vs. probability matrix. Lastly some solutions, based on the global best practices, have been given to counter-attack these threats
ANALISA CLUSTERING PADA DATA PELANGGARAN LALULINTAS DI PENGADILAN NEGERI DUMAI DENGAN MENGGUNAKAN METODE K-MEANS

The order of traffic on the road is very important for motorists on the highway, the lack of awareness of motor vehicle users and the poor drivers of traffic discipline make the level of traffic violations in driving on the highway always increase so that the number of ticket data received by the Dumai District Court. This research was conducted to analyze and classify data violations using the k-means method to facilitate knowing the types of violations that are often violated by vehicle users. The attributes to be analyzed are the types of violations and types of vehicles. The test was carried out using the Rapidminer 5 application where the data tested was data from the Dumai District Court on December 2017, as many as 616 violations. Central cluster data consists of 3 clusters, namely C1 = Many, C2 = moderate and C3 = few who commit traffic violations. So the results of the data obtained where C1 produces 1 data, C2 gets as much as 4 data and C3 as many as 7 data. Where the type of violation that is often violated is the type of violation that does not use a helmet and the type of vehicle is a motorcycle. From the results of this study can be used or can be followed up with the holding of socialization to reduce the number of traffic violations. Keywords: Clustering Analysis, K-Means, Traffic Violations, Rapidminer
”As you’ve never heard him before!” : Jimi Hendrixin musiikin tuotteistaminen 1971–2018

The article analyzes the posthumous productization of the music of Jimi Hendrix (1942–1970) from 1971 to 2018, in which developments in music technology have played an essential role. The posthumous releasing and re-releasing of his music, both albums originally released in his lifetime and recordings not released during Hendrix’s lifetime, can be divided by two factors. First, the three respective curators of his catalogue (Michael Jeffery, the manager of Hendrix, album releases between 1971 and 1973; producer Alan Douglas, 1975 to 1995; Experience Hendrix 1997 to present). Second, developments in music technology, of which the ‘digital revolution’ with the Compact Disc of the 1980s, and the still-developing ability to edit sound, is the most dramatic. The article adopts a chronological approach in order to show how advancing music technology has both enabled and inspired re-releasing Hendrix’s music over for almost fifty years. While technology has improved the sonic quality of Hendrix records, the article also shows how all three curators of his recordings have ended up using them very similarly – even reissuing their predecessors’ long deleted compilation albums – returning concepts which started the posthumous releasing of the music of Hendrix in the first place. The article is a part of the research project “Productization, Branding, and Marketing of Popular Culture”, funded by the Emil Aaltonen Foundation.