Reviewerly/exHarmony huggingface dataset:
Synthesis of Ladder-type Radio Frequency Surface Acoustic Wave Filter Based on Lumped Circuit Model by Using Neural Network

With the development of mobile communication technology, the demand for mobile devices continues to rise.Acoustic devices such as radio frequency (RF) filters and duplexers are widely used in mobile handsets because of their excellent electric performance characteristics.However, the key bottleneck is how to convert a lumped circuit model into the structure parameters of an acoustic resonator for RF circuit designers so that they can apply RF circuit design tools in designing surface acoustic wave (SAW) devices.The neural network (NN) has been widely applied in various science and management areas for its powerful learning and mapping capabilities.In this paper, a method of building a bridge between the lumped equivalent circuit (EC) model and structure parameters of a SAW resonator is proposed.The approach begins with establishing a database that shows the relationship between the values of the lumped EC and corresponding structure parameters of the SAW resonator.A four-layered NN with the back-propagation (BP) algorithm is adopted to determine the relationship between the structure parameters of the SAW resonator and the lumped EC.Then, other input/output pairs are presented to check if the estimated lumped EC matched with original circuit.Finally, as an example, the design of a long term evolution (LTE) transmitter (Tx) filter is developed to demonstrate the proposed approach.
Developing an Adaptive Trainer for Joint Terminal Attack Controllers

Adaptive training (AT) is training that is tailored to an individual trainee’s strengths and weaknesses, such that each trainee receives a unique training experience. Previous research has demonstrated that AT can lead to higher learning gains and decreased training time when compared to traditional training approaches in certain domains [1]. However, more systematic research is needed to define which AT techniques to employ and for what content in order to determine when to invest in these technologies. The goal of this research is to examine the benefits of two particular AT techniques (i.e., adapting feedback and scenario difficulty) based on trainee performance in a complex military decision-making task. In this paper, we discuss the development of a research testbed, the Adaptive Trainer for Joint Terminal Attack Controllers (ATTAC), from a science of learning perspective. In particular, we review how the Cognitive Theory of Multimedia Learning and the Expertise Reversal Effect drove design decisions and present preliminary results on participants’ impressions of ATTAC from a pilot study.
IMPROVING STUDENTS LISTENING SKIL USING ENGLISH STORIES WITH AUDIO APPLICATION

This research is a classroom action research that doing in one of SMK Kesehatan in Kabupaten Bandung Barat. Classroom action research is a research that did by teacher in the class to improve students ability in a learning teaching process, in this case their score. This research is done for maintain or solving the teaching English problems in the class. Listening skill is the one of the skill in language that important for our life. Every person starts their capability in language with great listening training. With this skill we can processing some informations and messages that tells by other person into our own understanding. Innovation in learning method such as using application in mobile phone surely can catch students attention in learning English, this teaching media can help them to improve their listening skill. And also can reduce some boredome in teaching leaning process. This research was done by using Listen English Audio Book smartphone application. This application contain the sound of narrators that telling the stories. It also contain the written text of the story which narrators tells about. The writer did a pretest before she start the treatment, the treatment itself and post test after the treatment to measure students ability in listening skill. At the pretest, the student’s average score are 4.56 move to the first post test the student’s average score increase to 6.68 and continued increase up to 7.55 at second posttest.
Agile software development: Implementation perspective

In today's world, the degree of technological and requirements change and market dynamics need fast responsiveness to sustain a competitive advantage.The ability of an enterprise to succeed in such a competitive environment is highly dependent on their capacity in developing software with faster speed.To work with such a pace enterprises are creating increasingly sophisticated software with requirements for business with efficiency.The practices required to develop these systems must conform to the increasing degree of innovation and also the evolving needs of organizations.Agile helps the enterprises to produce value more efficiently and continuously on a periodic and predictable schedule.This study provides a summary of the Agile from implementation perspective by discussing multiple agile methods, including its strategies, principles, practices and values for implementation.According to this study and observations, agile methodologies can provide excellent benefits for medium and small scaled projects.Also, explains how one can scale Agile for large projects using SAFe 4.0.
Seismic Discrimination between Earthquakes and Explosions Using CART Algorithm

The distinction between earthquake and explosion signals is an essential issue in seismic signal analysis.We propose a machine learning model of decision tree (DT) applied to discriminate between earthquakes and explosions.The amplitudes of the P-wave and the S-wave are selected as feature vectors and built into the database.Classification and regression trees (CART) algorithm is used in our method, which is built through a greedy approach by the Gini impurity.The performance of the DT model using the CART algorithm is evaluated with the ROC curve.The results show the advantages of DT according to various evaluation indexes based on confusion matrix, and demonstrate that DT is efficient in seismic signal discrimination due to the nonparametric model characteristics of DT model.
Identifikasi Daerah Rawan Longsor Berbasis SIG di Kecamatan Sumowono

One of the natural disasters that often occur in hilly areas is landslides. Landslides can occur due to the movement of masses of land, rocks, the intensity of very high rainfall, and many other factors, and have the potential to damage the environment by causing various losses. Sumowono District is one of the vulnerable areas to landslides in Kabupaten Semarang, which is located in highland and mountainous areas with the soil condition that are quite vulnerable with high intensity of rainfall. Landslides often occur in Sumowono District and cause losses. In 2015, there were around 12 landslides in this sub-district and some affected residents and caused material losses. Distribution of landslides and the time when the disaster occurred was difficult to predict, so there was no effort early treatment before the landslide disaster occurs. The purpose of this study is mapping and identifying the distribution of vulnerable areas to landslides using matrix matrix pairwise comparison method and SNI Permen PU No.22/PRT/M/2007 in Sumowono District. The methods that will be used in this study are the scoring method, matrix pairwise comparison in the context of AHP with expert judgment, and weighted overlay technique. Criteria used include topography, soil type, geological structure, rainfall, land cover, and population density. The results of this study are the distribution of landslide vulnerable areas based on SNI Permen PU No.22/PRT/M/ 2007 with modification and pairwise comparison. Identification of the distribution of landslide areas that are more accurate in representing condition in the area is SNI Permen PU that are classified into three classes, which is high vulnerability with an area of 1.089,07 Ha or 18,53% spread across 16 villages, with an area of 3.513,64 ha or 59,77% spread over 16 villages, and low with an area of 1.276,20 Ha or 21,71% spread over 15 villages.
Device Transition: Understanding Usability Issues in Shifting a Device During a Task

Solutions for enhancing user experience in engaging multiple devices for a task largely imply a tight coupling between device combinations and their supporting user interface (UI) and interaction, thus usability issues may arise when end-users create own combinations of devices not foreseen by designers or developers. We propose the three design principles that foster spontaneous shifts in device engagement: partnership discoverability, role election and UI-interaction election. These principles are examined and realized through shifting cues existed in pre-transition, transition and post-transition phases of the transition pathway. Designed as independent user interfaces, shifting cues give hints to users about available nearby devices and guide the shifts in device engagement. Revisiting the design principles and know-how–so far accumulated based on the single device interaction–will be an important step towards realizing a usable interaction design that considers the increasingly common situations of using and shifting around among multiple devices while conducting a task.
The Use of Information and Communication Technologies of Pedagogical Specialities Students in the Study Process

Information and Communication Technologies (ICT) are important for teachers because it needs to be effectively integrated ICT into the formal classroom teaching and learning conditions, so integration of ICT in teacher education is of great significance.The aim of the study was to compare the use and impact of the use of ICT on the study process of full-time (FT) and part-time (PT) pedagogical specialities students.The electronic survey of the 1st course pedagogical specialities FT and PT students from the University of Latvia was carried out.Altogether 118 students were questioned.The results of the research showed that the majority of surveyed pedagogical specialities students use ICT for study purposes 1-2 or 2-4 h during day.Different FT students use ICT more differently in comparison with PT students.FT students more often than PT students use ICT for different activities connected with study process but PT students in comparison with FT students more often use ICT for searching information to do home works.The majority of surveyed students evaluate their knowledge and skills in the using of ICT as good.The majority of students agree or rather agree that the use of ICT gives positive impact on different stages of the study process.The use of ICT helps better involvement in the study process, makes students more independent during study process, gives them possibilities to get more new information and better communicate during study process, the use of ICT makes studies more exciting and gives positive impact on the acquisition of the study content.More FT students (67 %) in comparison with PT students (31 %) agree that the use of ICT gives ability for better understanding of different processes and more FT students (45 %) in comparison with PT students (8 %) fully evaluate positive impact of the use of ICT on the acquisition of the study content.Students agree or rather agree to the negative impact of the use of ICT on the lifestyle.The results of the research suggest that the majority of pedagogical specialities students understand the necessity of acquiring ICT during study process.
Stability of the metrological texture feature using colour contrast occurrence matrix

Texture discrimination was studied a lot for texture classification/recognition in image databases, but less under the metrological point of view. In this work, we focused on the metrological behaviour related to the human vision for Control Quality purposes. Inside this study, we introduce as a pair a novel texture feature associated to an adapted similarity measure. The main idea was to define a compact representation adapted from the human visual characteristics in order to obtain an accurate description of the texture. Combined to an adapted similarity measure, the obtained pair feature/similarity becomes highly efficient. Performance Classification of the proposed texture feature is assessed on six popular and challenging databases used to provide the reference results in the state-of-the-art. Obtained results show the efficiency and the robustness of the proposed pair feature/similarity measure defined by the relocated Colour Contrast Occurrence Matrix.
Research on Collaborative Filtering Recommendation Algorithm Based on Sentiment Analysis and Topic Model

At present, the research about the personalized recommendation algorithm is very popular, there are two problems in this kind of algorithm. First, in the pre-filling stage, user preferences cannot be expressed only by scores, because only using the score-filling matrix has a certain deviation. The second is that in the forecasting stage, the prediction method only relies on the locally relevant scores, which cannot grasp the overall user score features. In order to resolve these two problems to improve the efficiency and accuracy of recommendation algorithm, this paper proposes a collaborative filtering recommendation algorithm based on sentiment analysis and topic model. Experiments show that the proposed algorithm outperforms User-based CF, LDA-CF and BiasSVD algorithms in prediction accuracy.
LEARNING WORD RELATEDNESS OVER TIME FOR TEMPORAL RANKING

Queries and ranking with temporal aspects gain significant attention in field of Information Retrieval. While searching for articles published over time, the relevant documents usually occur in certain temporal patterns. Given a query that is implicitly time sensitive, we develop a temporal ranking using the important times of query by drawing from the distribution of query trend relatedness over time. We also combine the model with Dual Embedding Space Model (DESM) in the temporal model according to document timestamp. We apply our model using three temporal word embeddings algorithms to learn relatedness of words from news archive in Bahasa Indonesia: (1) QT-W2V-Rank using Word2Vec (2) QT-OW2V-Rank using OrthoTrans-Word2Vec (3) QT-DBE-Rank using Dynamic Bernoulli Embeddings. The highest score was achieved with static word embeddings learned separately over time, called QT-W2V-Rank, which is 66% in average precision and 68% in early precision. Furthermore, studies of different characteristics of temporal topics showed that QT-W2V-Rank is also more effective in capturing temporal patterns such as spikes, periodicity, and seasonality than the baselines.
PENGARUH MEDIA VISUAL PROYEKSI POWER POINT DAN MINAT TERHADAP HASIL BELAJAR PESERTA DIDIK

This study aims to reveal: (1) the effect of visual media projection with Power Point on Economics learning outcomes, (2) the effect of students’ learning interest on their Economics learning outcomes, (3) the interaction between media used and learning interest students’ Economics learning outcomes in MAN 2 Batusangkar. The type of research is Quasy Experiment using factorial 2x2 design. The population was grade X students at MAN 2 Batusangkar. The sampling technique was cluster sampling; class X-2 as the experimental class and class X-5 as the control class. Data analysis techniques are descriptive analysis and inductive analysis using two-way ANOVA. The results of the study show: (1) the students taught using Visual Media Projection with Power Point have higher learning outcomes compared to those taught with Non-Projection Visual Media with Chart, (2) the students having high interest in learning gained higher Economics learning outcomes than those with low interest in learning, and (3) There is no interaction between the use of instructional media and learning interest in students’ learning outcomes in Economics. Finally, it is recommended that teachers should use computer-based learning media, such as visual media projecting Power Point effectively as an alternative to improve students’ learning outcomes.
Beccaria e Bentham

The philosophies of Beccaria and Bentham have a number of features in common: the juspositivist principle of legality, the project of minimizing criminal law, the dependence of punishment on types of action rather than types of actors, the idea of the trial as an inductive ascertainment of truth. Beccaria’s thought, however, is more radical both in its utilitarian conception, which hinges on the idea of the social contract that underpins the critique of the death penalty, and in its liberal conception, which forecloses the association of freedom and property that we find in Bentham.
Studying Conceptual Change in Classrooms: Using Association Rule Mining to Detect Changes in Students’ Explanations of the Effects of Urban Planning and Social Policy

Context: Conceptual developments in our understanding of knowledge are merging with machine-learning methods for making sense of data. This creates new, and interesting ways in which we can …
A User-Centered Design based Collaborative System for Jum’a Preacher Scheduling

Majlis Tabligh Muhammadiyyah of Bandung Regency of Indonesia is currently managing 21 Mosques in its area. With only 75 preachers, handling 1.092 slots for Jum’a preacher scheduling every year is extremely difficult while it managed by the traditional mean. Other than collision, special request and constraints proposed by Imam (preacher) or Mosque manager make the scheduling process worst. This paper proposes a collaborative based system to address scheduling system with special requirements. Scheduling compilation will be divided into three stages. Then it uploaded into the system. As a result, Imam and Mosque managers are able to offer slots as their best choice, while Majlis tabligh administrator can easily manage Jum’a preacher scheduling.
Team Jack Ryder at SemEval-2019 Task 4: Using BERT Representations for Detecting Hyperpartisan News

We describe the system submitted by the Jack Ryder team to SemEval-2019 Task 4 on Hyperpartisan News Detection. The task asked participants to predict whether a given article is hyperpartisan, i.e., extreme-left or extreme-right. We proposed an approach based on BERT with fine-tuning, which was ranked 7th out 28 teams on the distantly supervised dataset, where all articles from a hyperpartisan/non-hyperpartisan news outlet are considered to be hyperpartisan/non-hyperpartisan. On a manually annotated test dataset, where human annotators double-checked the labels, we were ranked 29th out of 42 teams.
PENGARUH KECERDASAN EMOSIONAL TERHADAP PRESTASI BELAJAR MAHASISWA AKUNTANSI DENGAN VARIABEL MODERATING KEPERCAYAAN DIRI

Education was one of the way human increased their welfare. It's also power integrity which effected by emosion, ethics, trust and etc. In Framework of Development of Accounting Education Research which promulgated by the American Accounting(AAA), state that there were special research needs for accounting education. This research is evaluate the influence of emotional intelligenceto achievement learning accounting with self confidence as moderating variable.The research population were all of student accounting in Faculty Economic of Trisalai University. Samples were collected by used purposive sampling method, so acquired about 170 students. The research used regression analysis to analyse the data.. The result of research revealed that emotional intelligence and self confidence as modarating variable has no significant effect to achievement learning accounting.
Rancang Bangun Sistem Informasi Penjualan Online (E-Commerce) Pada Toko Batik Pekalongan Dengan Metode Waterfall

Pekalongan Batik is a typical batik originating from Central Java Pekalongan, Pekalongan batik has been well known in various regions in Indonesia. Nowadays batik is an Indonesian culture so every company or government institution requires using batik on one day during their working hours. Pekalongan batik producers in Central Java, of course, have difficulty in marketing their products, especially marketing outside Central Java. E-Commerce is one of the solutions to these problems. Internet networks that are not limited to space and time can of course make it easier for manufacturers to market their products. E-Commerce is the best solution, as a marketing and promotional media for Pekalongan batik by anyone, anywhere and anytime. Use of PHP programming language, SQL database and adobe Dreamweaver application is used to design this online sales website with the SDLC (Systems Development Life Cycle) method in applying the website creation method
Model Fast Tansfer Learning pada Jaringan Syaraf Tiruan Konvolusional untuk Klasifikasi Gender Berdasarkan Citra Wajah

The face is a challenging object to be recognized and analyzed automatically by a computer in many interesting applications such as facial gender classification. The large visual variations of faces, such as occlusions, pose changes, and extreme lightings, impose great challenge for these tasks in real world applications. This paper explained the fast transfer learning representations through use of convolutional neural network (CNN) model for gender classification from face image. Transfer learning aims to provide a framework to utilize previously-acquired knowledge to solve new but similar problems much more quickly and effectively. The experimental results showed that the transfer learning method have faster and higher accuracy than CNN network without transfer learning.
The Student Attendance Controlling Based on Face Recognition by using Learning Vectorization Quantization (LVQ) Algorithm

The verification system of Attendance has an important role in everyday life, especially in the scope of work such as offices, factories, hospitals, schools, universities, and other places that require absenteeism. One of the most important to verification is the human face recognition. There are many applications based on the human face recognition such as video monitor system, human-computer interaction, door control system and network security. In this paper, we proposed a method for Student's Attendance controlling system based on face recognition technology by using Learning Vector Quantization (LVQ) algorithm. This method will record the attendance of the students in the class room environment automatically. Our system will provide the facilities of the faculty to access the information of the students easily by maintaining a log for clock-in and clock-out time. We have developed the prototype, we then tested in the classroom of Computer Science Department, Faculty of Computer Science and Information Technology, University of North Sumatra. The result shows that the average total time taken to record the attendance of a class with 50 students are around 40 seconds.