Reviewerly/exHarmony huggingface dataset:
Portuguese Concerns and Experience of Specific Cybercrimes: A Benchmarking with European Citizens

The increasing use of a variety of devices that can access the Internet has contributed to the overall growth of Internet use. The growth of Internet use also leads to a general increase in cybercrime concerns as well as the number of users’ victims of this permanent threat. This reality is also very present in Portugal where there is a sense of lack of control and combat of this kind of cyber-threats. In this context, it is important to know some indicators associated with cybercrime, in order to take the best measures/actions in a reasoned way, to combat this phenomenon. This article presents the results of a study carried out in 2017 by the European Commission, whose analysis helps to understand the Portuguese positioning in the concerns and experiences about cybercrime, in relation to the average of the European Community citizens. Analysing this study, it was possible to perceive that the Portuguese’s concerns about cybercrime are in line with the average of the European citizens, although the percentage of Portuguese experienced these attacks is, for now, below average. Based on these results, it is possible to identify some public policies that aim to mitigate this phenomenon.
Evaluating Services Computing Systems Engineering Framework using An Acceptance Model

The gap between business services and IT services becomes a major concern in services computing. As an approach for service-based IT solution, services computing systems are promised to be able to bridge the gap between these services. The implementation will require an engineering framework as a guide to building the systems. The framework needs to be evaluated to provide important feedback to the framework development. This paper outlines the evaluation of SCSE framework through an acceptance model. The study develops an acceptance model based on the experiences of a group of engineers after using the framework to build smart campus services systems. A survey involving 54 systems engineers with various engineering backgrounds was conducted to assess the experiences of the engineers in using the framework. The results of the acceptance model show that both perceived ease of use, represented by the level of agreement (Ï…1) and perceived usefulness, represented by the level of importance (Ï…2) deliver good results almost for the entire stages of the proposed framework. In addition, the user experiences of using the proposed framework are in the acceptable levels. The contribution of this paper is an enrichment of the engineering methodologies for the service-oriented system from the perspective of services computing.
PENERAPAN METODE TUTOR SEBAYA UNTUK MENINGKATKAN HASIL BELAJAR DAN MOTIVASI BELAJAR SISWA PADA MATERI TRIGONOMETRI KELAS XI MIPA 4 SMA NEGERI 1 AMBARAWA

This research is observed to increase the result and motivate the students in learning mathematics in Grade XI MIPA 4 of Ambarawa Senior High School with topic trigonometry by using peer tutor method. This research is includes class act observed. The method that I used in this research is called Kurt Lewin with 4 steps, they are planning, action, observing, and reflection. The increasing result of the study and motivation to learn in learning mathematics with can see it by points and questionnaire scores. The result shows that the average learning outcomes in cycle 1 and cycle 2 were 73,55 and 86,67 respectively with the percentage of class completeness in the first cycle and the second cycle respectively 64% and 85%. As for the aspects of learning motivation by 52% based on this, it can be concluded that the applications of peer tutoring methods cam improve learning outcomes and learning motivation in the trigonometry material of students of Grade XI MIPA 4 of Ambarawa Senior High School.
Penerapan Metode Backpropagation Dalam Memprediksi Jumlah Kunjungan Wisatawan Ke Provinsi Nusa Tenggara Barat (NTB)

Based on the of tourist visits of West Nusa Tenggara from 2013 to 2017 obtained from Tourism Office of NTB Province the number of tourist visits changes every year. a prediction is needed to estimate the number of tourist visits in the upcoming year to help the government in making policy. The Tourism Office currently estimates the tourist visit based on the events that will be carried out. There are no mathematic calculations in estimations. This study uses Backpropagation to predict the number of tourist visits. Backpropagation is a good and accurate in predicting process involving fluctuating data. This study aims to examine the effectiveness of the backpropagation in predicting the number of tourist visits based on the minimum value of the Mean Square Error (MSE). Using a maximum iteration of 1500, learning rate 0.3 and the number of hidden layers 21 produces the minimum MSE value of 0.003901 and the prediction of tourist visits in 2018 has the most tourist arrivals in July 2018 of 465.202 tourists and the lowest visit was in February 2018, which estimated to 236.864 tourists.
Enhanced RC5 Algorithm using Parallel Computing for Communication Networks

One of the main disadvantages of symmetric key algorithms in compar-ison with asymmetric key ones is their lower security level due to theirshorter key length. Indeed, increasing the number of bits that conformsthe key used by a symmetric cryptography algorithm will increase its se-curity level with a cost on its performance. Expanding a key in symmetriccryptography is not an easy task due to algorithms are designed to workwith keys of a fixed maximum length. This paper presents an alterna-tive design of the RC5 cryptography algorithm with an enhanced securitylevel achieved through a key expansion mechanism with Parallel Comput-ing processing. Although the design was created for the RC5 algorithmthe main idea might be applied to other block cipher algorithms applyingthe same criteria. This methodology makes feasible to obtain a robustsymmetric key algorithm implemented in software with an acceptable per-formance in comparison with other techniques such as implementations inhardware, reduction in the amount of data, improvements in the key ex-change process, advanced high performance computing, and many otherstechniques
Teaching And Learning Narrative Text Writing Through Story Mapping

This research focused on teaching and learning narrative text writing through story mapping. The objectives of this research were to know and describe the process of teaching and learning narrative writing using story mapping and the teacher and students problems in teaching and learning narrative writing through story mapping. In this research, the writer used descriptive qualitative research method. In collecting the data, the kinds of instruments used by the writers were observation, interview, and questionnaire. In data analysis, the writers used data reduction, data display, and conclusion or verification. The writers found that the teacher’s problems in teaching writing through story mapping were the teacher had difficulties to introduce story mapping, giving instruction to create and complete story mapping, many students in the classroo and less time to teach writing. The problems faced by students in learning writing using story mapping were that the students confused and difficult to develop their ideas because they did not have many vocabularies. Furthermore, the students had problems in capitalization, punctuation, grammatical error, and organization. They also needed too much time to finish their writing
VLSI Implementation of Hybrid Cryptography Algorithm Using LFSR Key

The security and confidentiality of the information has become a significant factor in the communication field.Several techniques for encryption and decryption are proposed to promote the security of the communication systems.Most powerful and significant part of the encryption is a key generation.Presently, hackers are able to break the key with help of the modern high computing machines.In this research, hybrid cryptographic algorithm -Extended Tiny Encryption Algorithm (XTEA) combined with International Data Encryption Algorithm (IDEA) was implemented for improving the security in real-time applications.A large key size ensures the randomness, but proportionally maximizes the network load with high complexity.To overcome this problem, the random numbers were generated using a Linear Feedback Shift Register (LFSR) scheme for key function.This algorithm was appropriate for encryption and decryption of online streaming data.The proposed method is named as International Data -Extended Tiny based Encryption Algorithm -LFSR (ID-XT-EA-LFSR) method.The ID-XT-EA-LFSR method improves the FPGA performances up to 50.43% compared to the QTL, DROM-CSLA-QTL and XTEA algorithms.
Geometric Morphometrics Analysis of Chelae and Carapace of the Freshwater Prawn Macrobrachium Bate, 1868

The shape of chelae and carapace can be used to distinguish between species of prawn. This study aims to determine the variations in the shape of chelae and carapace in several species belonging to the genus Macrobrachium using analysis of geometric morphometric. This study uses photos of specimens that have been processed with several TPS software. Data analyzed statistically by PCA using the MorphoJ software. Clustering analysis using UPGMA method using PAST software. The results showed the carapace shape grid deformation varied at the tip of the rostrum, the tip of the ocular spine and the lower curvature of the front of the carapace, and the base spines of rostrum. Grid deformation in the shape of chelae varies at the tip of the pollex, the junction between the pollex and the manus on the inferior margin of the propodus, the upper and lower points marking the junction of the dactylus with the propodus. PCA shows the total variation of the carapace shape is 82.66% which is divided into PC1: 75.11% and PC2: 7.55%. While the total variation of the shape of chelae is 87.56% which is divided into PC1: 55.49% and PC2: 32.07%. Clustering analysis shows the grouping of populations of Macrobrachium, the first group is M. latidactylus and M. sintangense, the second group includes M. horstii and M. latimanus. M. lar is a species that shows the similarity of the shape of the carapace and chelae with the two groups. M. rosenbergii and M. pilimanus are on different lines.
Hybrid RNN at SemEval-2019 Task 9: Blending Information Sources for Domain-Independent Suggestion Mining

Social media has an increasing amount of information that both customers and companies can benefit from.These social media posts can include Tweets or be in the form of vocalization of complements and complaints (e.g., reviews) of a product or service.Researchers have been actively mining this invaluable information source to automatically generate insights.Mining sentiments of customer reviews is an example that has gained momentum due to its potential to gather information that customers are not happy about.Instead of reading millions of reviews, companies prefer sentiment analysis to obtain feedback and to improve their products or services.In this work, we aim to identify information that companies can act on, or other customers can utilize for making their own experience better.This is different from identifying if reviews of a product or service is negative, positive, or neutral.To that end, we classify sentences of a given review as suggestion or not suggestion so that readers of the reviews do not have to go through thousands of reviews but instead can focus on actionable items and applicable suggestions.To identify suggestions within reviews, we employ a hybrid approach that utilizes a recurrent neural network (RNN) along with rule-based features to build a domain-independent suggestion mining model.In this way, a model trained on electronics reviews is used to extract suggestions from hotel reviews.
AsKINstagram: Teacher-Pupil Interaction

Social media promotes a conducive learning where teachers and pupils remain engaged after school hours.There is a need in integrating social network, Instagram in language learning.The innovation is named "AsKINstagram" as it was merely limited to the use of ASK feature in Instagram to serve as a platform for teachers to assess pupils' performance in writing in English.Not to mention that it intends to engage parents to support the virtual learning as well.The study was conducted in six sessions on a group of 24 Year 5 and Year 6 pupils of SK Pantai Kundor, Melaka.The data was analysed based on pupils' performance before and after the innovation and a Likert-scale questionnaire is conducted to survey the pupils' and parents' feedback.The results indicate that there is improvement in students' writing as "AsKINstagram" does not only provide conducive learning for students to learn English after school hours but also enticing parents to learn together with their kids.
Expectation and Locality Effects in the Prediction of Disfluent Fillers and Repairs in

Samvit Dammalapati, Rajakrishnan Rajkumar, Sumeet Agarwal. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop. 2019.
Customer Behaviour-Online Travel Industry in India

This paper summarises the arguments and counterarguments within the scientific discussion on the issue of Online Travel Industry in India, its evolution and demand.The main purpose of the research is to study the customers' preferences with respect to the Online travel agents (websites and apps) in India and what makes them stay put.The study of literary sources and approaches for solving the puzzle of consumer behavior in the fast-paced e-commerce scenario indicates that the customers are changing rapidly and that is what they expect from the mediums they are using.The relevance of the decision of this scientific problem is that it will aid the travel industry to understand their respective customers better, helping them stay and make repeat purchases.Investigation of the topic Online travel industry-Customer Behaviour, in the paper, is carried out by shortlisting the top six players in the Online travel category and recognizing the important features affecting the customers, making the customers rank them on a structured questionnaire.An online survey was done using http://www.surveymonkey.com.Weighted Average Scores have been calculated to assign importance to the features.The research spans from May 2017 to July 2018.The object of research is the Online travel industry and its users in India.The paper presents the results of an empirical analysis of customers responses with respect to their preference for the Online travel sites like MakeMyTrip, yatra, trivago, TripAdvisor, ibibo, clear trip and their expectations from them in terms of price sensitivity, variety, post-check-in experience, customized packages, and quality services.The empirical analysis shows that the customers prefer certain factors way more than the others and so the Online travel industry can utilize these findings to focus on the most important ones and maybe decrease the spending on the ones not considered important.
Enhancing The Speaking Performance Of Efl College Students Through Video Projects

The study described how video projects were used to enhance the speaking performance of EFL college students in IAIN Kediri, Indonesia. The researcher found that students faced technical and personal problems appeared in the speaking class. A classroom action research was applied to the study to solve the problems. Then, the data was analyzed descriptively. The result of the study identified that students emerged confidence, fluency, good collaboration and excitement in the speaking class. The study resulted that obstacles of speaking English can be solved alternatively through the used of song videos as the project by practicing the aspects of the language in song lyrics and producing videos which then were spread out through YouTube website in order to appreciate their work and creativity as well as to share it as useful sources of teaching media and also entertainment.
Improve Hybrid Particle Swarm Optimization and K-Means for Clustering

Abstract. Potato production is strongly influenced by the selection of suitable land for crops. Criteria for land suitability of planting potatoes is influenced by climatic factors and land characteristics. planted area clustered based on 11 criteria land suitability. The clustering results in the form of four clusters, namely: very suitable (S1), appropriate (S2), is quite suitable (S3) and are not suitable (N). Clustering of land aims to improve the quality and quantity of the potato crop. Clustering is done using a hybrid Particle Swarm Optimization with K-Means (KCPSO). The hybrid method is used to obtain an accurate result cluster. In this study used a new approach to doing improve KCPSO with random injection method. The calculation of the value of cost based on the silhouette coefficient. The results obtained KCPSO showed better results when compared to using the K-Means algorithm without hybrid. The calculation result KCPSO get the best centroid indicated by the value of the largest Silhouette coefficient.Keywords: Clustering, K-Means, Particle Swarm Optimization, random injection, silhouette Coefficient.
E-LSTM at SemEval-2019 Task 3: Semantic and Sentimental Features Retention for Emotion Detection in Text

This paper discusses the solution to the problem statement of the SemEval19: EmoContext competition(Chatterjee et al., 2019b) which is "Contextual Emotion Detection in Texts".The paper includes the explanation of an architecture that I created by exploiting the embedding layers of Word2Vec and GloVe using LSTMs as memory unit cells which detects approximate emotion of chats between two people in the English language provided in the textual form.The set of emotions on which the model was trained was Happy, Sad, Angry and Others.The paper also includes an analysis of different conventional machine learning algorithms in comparison to E-LSTM.
Markovian and non-Markovian dynamics induced by a generic environment

We study the open dynamics of a quantum two-level system coupled to an environment modeled by random matrices. Using the quantum channel formalism, we investigate different quantum Markovianity measures and criteria. A thorough analysis of the whole parameter space reveals a wide range of different regimes, ranging from strongly non-Markovian to Markovian dynamics. In contrast to analytical models, all non-Markovianity measures and criteria have to be applied to data with fluctuations and statistical uncertainties. We discuss the practical usefulness of the different approaches.
A clustering algorithm for fuzzy numbers based on fast search and find of density peaks

This paper made improvements on clustering by fast search and find of density peaks (CFSFDP) algorithm and extended this algorithm to fuzzy numbers (FN-CFSFDP algorithm). Using FN-CFSFDP algorithm, classical information included in the samples are extended to fuzzy sets, and fuzzy samples can be cl ustered by searching the density peak. Firstly, by means of error analysis, improved Euclidean distance between fuzzy numbers was defined, and some key parameters or operating quantities mainly including cut-off distance and Gaussian Kernel function of fuzzy samples were introduced in detail. Next, 76 random simulations in total were performed on four sets of samples under different conditions with different t-values, different sample sizes, index numbers, cluster numbers and fetching rules. Moreover, Kappa coefficients in above simulations were calculated. Finally, both advantages and disadvantages of the proposed FN-CFSFDP were concluded and some recommendations for improvement were put forward, which can provide insightful guidance for further investigations of fuzzy clustering algorithms on fuzzy sets.
Cyber-Security Profiles of European Users: A Survey

Cyber-security concerns, experiences and protective activities are increasingly discussed not only among specialists but among the general public. There is considerable variability among users, at individual and social level, in the intensity of digital activity, experience of cyber-attacks, preventive measures and concern with security. In this paper we rely on the Eurobarometer 87.4/2017 survey and we classify European Internet users in four attitudinal profiles: the avoiding, the exploratory, the wary and the aware. This empirical classification captures statistical variability and helps build a more nuanced profile of European countries, in order to adapt national policies of awareness to cybercrime.
EFEKTIVITAS MEDIA E-MODUL BERBASIS SCHOOLOGY

AbstrakTujuan dari penelitian ini adalah : Untuk menghasilkan rancangan dan mengimplementasikan hasil rancangan Pengembangan Modul Personalized Learning pada Mata Pelajaran Jaringan Wireless Kelas XI di SMK TI Bali Global Singaraja, mengetahui respon siswa dan guru terhadap Modul Personalized Learning pada Mata Pelajaran Jaringan Wireless Kelas XI di SMK TI Bali Global Singaraja. metode yang digunakan dalam penelitian ini adalah penelitian dan pengembangan (Research and Development) dengan model pengembangan ADDIE. Untuk mengetahui respon guru dan siswa terhadap e-modul Jaringan Wireless diperoleh dengan menggunakan metode angket. Hasil penelitian menunjukkan bahwa: Hasil rancangan dan realisasi Modul Personalze Learning Pada Mata Pelajaran Jaringan Wireless kelas XI di SMK TI Bali Global Singaraja dinyatakan berhasil diterapkan berdasarkan beberapa uji yang dilakukan. Hasil analisis data respon guru menunjukkan bahwa, didapatkan rata-rata skor respon sebesar 42, jika dikonversikan ke dalam tabel penggolongan respon maka termasuk pada kategori positif. Sedangkan untuk respon siswa terhadap pengembangan emodul didapatkan rata-rata skor respon sebesar 60,52, jika dikonversikan ke dalam tabel penggolongan respon siswa termasuk pada kategori positif. Kata kunci: Modul Personalized Learning, Model PjBL AbstractThe aims of this research are: To produce the design and implement the result of the Personalized Learning Module Development Design on the Class XI Wireless Network Subjects in IT SMK Global Singaraja, to know the response of students and teachers to the Personalized Learning Module on the Subject of Wireless Class XI Network in IT SMK Bali Global Singaraja. the method used in this study is research and development (Research and Development) with the development model of ADDIE. To know the response of teacher and student to e-module of Wireless Network obtained by using questionnaire method. The results showed that: The results of the design and realization of the Personalze Learning Module on the Subject of Wireless Networking class XI at IT SMK Global Singaraja was declared successfully applied based on several tests conducted. The results of teacher response data analysis showed that, got the average score response of 42, if converted into the response classification table then included in the positive category. As for the students response to the development of emodules obtained average response score of 60.52, if converted into the table classification of student responses included in the positive category