Reviewerly/exHarmony huggingface dataset:
PERSEPSI MAHASISWA PROGRAM STUDI PENDIDIKAN TEKNIK BANGUNAN TERHADAP PENGGUNAAN E-LEARNING

Abstack – This research is about Student Perception of Building Engineering Education Study Program on the Use of E-learning. The background of this study is the results of the author's research with students of the Building Engineering Education Study Program in lectures using e-learning, it can be concluded that students have not used e-learning in the lecturing process. This study aims to determine student perceptions of the use of e-learning. The population of this research is the students of Building Engineering Education Study Program who use e-learning in the lecture process in the January-June 2019 semester, amounting to 137 students and a sample of 55 students. The research data was collected through a questionnaire given to students who were selected as research samples to know student’s perceptions of the use of e-learning. Based on the results of the research carried out it can be concluded that the results of the study show that perceptions of students of the Building Engineering Education Study Program on the use of e-learning amounted to 72.26%, the category is quite good, it can be concluded that students who use e-learning have a fairly good perception in the lecture process. Keywords: Perception, E-learning
Applying Blockchain Technologies in Funding of Electrical Engineering Industry Applications

This paper presents a funding application that is based on blockchain technology and uses PrivateSky platform, all ecosystem being developed in accordance with GDPR. The proposed application, called ArtChain, presented in detail in this paper should be viewed as an instance of various industry applications that can benefit by proposed technologies.
Learning cardiac anatomy

An essential prerequisite for constructing the heart model is fast and robust parsing of the cardiovascular anatomy based on image data. This entails the detection, segmentation and tracking of anatomical structures or pathologies in the human heart and vascular system. Current solutions for these problems are based on machine learning and require large annotated image databases for effective training. In practice, however, these techniques often suffer from inherent limitations related to the efficiency in scanning high-dimensional parametric spaces and the learning of representative features for describing the image content. In this chapter, we present several established techniques for cardiac image parsing and structure tracking. For image parsing, we describe the marginal space learning framework, including the original version of the system that relies on handcrafted steerable features, as well as the modern redesign of the framework based on the latest automatic feature learning technology using deep learning. To address the limitations of these techniques that rely on exhaustive search, we present the concept of intelligent image parsing. Based on deep reinforcement learning and scale-space theory, this approach enables the efficient parsing of high-resolution volumetric data in real-time. Several experiments are included to analyze the performance of these methods on different problems using large datasets. This chapter also briefly describes a modern deep image-to-image neural network architecture for whole heart isolation. For cardiac structure tracking, a comprehensive review is presented of state-of-the-art structure tracking methods based on convolutional neural networks and recurrent neural networks.
Penentuan Lokasi Tempat Pembuangan Sementara Sampah Menggunakan Metode Brown Gibson Berbasis Sistem Informasi Geografis

The problem of waste has not been handled well, especially in cities, including the city of Kupang. Placing the right location of the trash can be one of solutions to the waste problem. The purpose of this study is to combine decision support systems and geographic information systems to determine the location of TPS locations. There are two stages of analysis, the Brown Gibson method to determine which alternative is best for construction temporary landfill and the second analysis using the GIS approach to determine suitable point. The alternative is Neigborhoods (RT) in the Nefonaek, Kupang. The results showed that in the RT22, RT17, and RT18 which is outside the buffer area were selected as the best candidates for the new location of TPS. The system is tested in two ways, testing the blackbox using questionnaire on two respondents, and the accuracy that compares the results of the system and the results of expert. From the results of the blackbox testing, the percentage values for each GUI, Function, and information obtained were 94%, 92.5%, and 97.5%. And from Accuracy testing, obtained the value of accuracy on the first staff is 86.67% and for the second staff the accuracy value is 80%. From the two staffs obtained an average accuracy of 83.34%.
FUZZY LOGIC PROCEDURE FOR DRAWING UP A PSYCHOLOGICAL PROFILE OF LEARNERS FOR BETTER PERCEPTION IN COURSES

This article offers an original classification procedure based on Mamdani fuzzy inference system (FIS) dedicated to compute multiple criterions each from different type of psychological profiles. The modelling and information analysis of the FIS are developed to draw a general conclusion from several psychological criterions in order to provide better pre-course lecturer preparation and thus better students’ perception. Simulation experiments are carried out in MATLAB environment.
Influencing Factors of Blended Teaching from the Perspective of University Students

The rapid development of educational informationization has put forward new requirements for teaching mode.Blended teaching under the background of information technology has become the focus of higher education teaching reform, and the research on the influencing factors of the implementation effect of blended teaching has attracted more and more researchers 'attention.This study aims to investigate students' views on the effect of blended teaching from the perspective of college students who once participated in blended teaching activities.This paper conducts a theoretical study on the influencing factors of blended teaching, and conducts an empirical study on the influencing factors of blended teaching effect by means of questionnaires.The results show that personal interests and attitudes and curriculum design are the main factors affecting the effectiveness of blended teaching.Moreover, teachers' professional image, curriculum design and Teaching Platform Functions all have a significant impact on students' interest and attitude in participating in blended teaching.Finally, this paper puts forward some suggestions to strengthen the "student-centered" teaching consciousness, optimize the "student-centered" teaching design, attach importance to the improvement of teachers' professional image, and select a suitable blended teaching platform.
Structured robust correlation filter with L2,1 norm for object tracking

Recently, the correlation filter (CF)-based methods have achieved great success in the field of object tracking. In most of these methods, the CF utilizes <italic>L</italic><sub>2</sub> norm as the regularization, which does not pay attention to the stability and robustness of the feature. However, there may exist some unstable points in the image because the object in the video may have different appearance changes. We propose a tracking method based on a structured robust correlation filter (SRCF), which employs the <italic>L</italic><sub>2,1</sub> norm as the regularization. The robust CF can not only retain the accuracy from the regression formulation but also take into account the stability of the image region to improve the robustness of the appearance model. The alternating direction method of multipliers algorithm is used to solve the <italic>L</italic><sub>2,1</sub> optimization problem in SRCF. Moreover, the multilayer convolutional features are adopted to further improve the representation accuracy. The proposed method is evaluated in several benchmark datasets, and the results demonstrate that it can achieve comparable performance with respect to the state-of-the-art tracking methods.
A novel ANN-based four-dimensional two-disk hyperchaotic dynamical system, bifurcation analysis, circuit realisation and FPGA-based TRNG implementation

This paper describes the modelling, bifurcation analysis, circuit realisation and FPGA implementation of a novel ANN-based four-dimensional two-disk dynamical system exhibiting hyperchaos and hidden attractor. This paper provides a detailed analysis of the multistability, coexisting attractors and bifurcation properties of the novel two-disk dynamical system with hyperchaos. The novel two-disk dynamical system does not possess any rest point pinpointing the presence of hidden hyperchaotic attractor. We realise the dynamic equations of the two-disk hyperchaotic dynamical system with a real circuit. Next, we build design and implementation of ANN-based two-disk hyperchaotic dynamical system on FPGA. Finally, using FPGA-based implementation of the two-disk hyperchaotic dynamical system, we design and implement a novel high-speed True Random Number Generator (TRNG).
Deep learning with synthetic photonic lattices for equalization in optical transmission systems

In this work we propose a new physical realization of optical neural network (ONN) based on a recently appeared technological platform of synthetic photonic lattices (SPL), and demonstrate its capabilities for deep learning. The system operates with time series of optical pulses with ability to easily control their parameters and possesses the architecture that well suits the ONN paradigm. We have also shown that such an ONN can be potentially utilized for signal processing in optical communication lines for signal distortion compensation.
PEMODELAN MATEMATIS POLA TANAM DAN JADWAL TANAM DAERAH IRIGASI BARO UNTUK MEMAKSIMALKAN KEUNTUNGAN

Daerah Irigasi (D.I.) Baro has a total area of 11.950 ha which consists of Baro Kanan area of 8,920 Ha and Baro Kiri area of 3.030 Ha. Maximum cropping intensity indeks of D.I. Baro ranged between 183%-213%. This shows that D.I. Baro is unable to meet the water needs for his extensive irrigation services. One of the factors that influence the planning and regulation of irrigation water is cropping pattern. The aims of this research is to get the best cropping pattern, so that the distribution of irrigation water discharge available in D.I. Baro can be done optimally, knowing the need of irrigation water in D.I. Baro, knowing the maximum plantable area that irrigation can irrigate, and knowing the maximum profit that can be achieved by optimization. Compilation of mathematical models to get the maximum benefit that can be achieved by optimizing land area. The data collected in this study is secondary data. The method used is an optimization method using a linear program.
Learning Japanese "Kaiwa" Based on Strategy

This study regarding the learning Japanese “Kaiwa” based on strategy. The result shows that strategies are grouped into direct strategies and indirect strategies. By using strategies that are in accordance with the wishes and character of the learner, maximum results can be achieved in learning any language. In Quantum Teaching it is said that humans teach 10% of what is read, 20% of what is heard, 30% of what is seen, 50% of what is seen and heard 70% of what is said and 90% of what is said and done because education will be effective when we accept the theory and be accompanied by exercises. One thing that should be underlined is the natural situation in practice, there is a tendency to have a significant influence in the process of achieving language learning.
New Techniques of Watermark Images using Bit Plane Slicing and Cubic-spline Interpolation

A watermark is a pattern or image defined in a paper that seems as different shades of light/darkness when viewed by the transmitted light which used for improving the robustness and security. There are many ways to work Watermark, including the addition of an image or text to the original image, but in this paper was proposed another type of watermark is add curves, line or forms have been drawn by interpolation, which produces watermark difficult to falsify and manipulate it. Our work suggests new techniques of watermark images which is embedding Cubic-spline interpolation inside the image using Bit Plane Slicing. The Peak to Signal Noise Ratio (PSNR) and Mean Square Error (MSE) value is calculated so that the quality of the original image before and after the data embedding is evaluated.
An RSA Algorithm for Securing Financial Data on the Cloud

Cloud computing is a developing, very buoyant and nascent paradigm offering numerous solutions to the mirage of challenges and troubles confronting the IT world. It is an online computing solution for on-demand scaling, sharing and abstraction of unlimited resources. Since the significance of trust and confidence in cloud data or information transmission cannot be underestimated, it is obligatory that adequate mechanism be put in place to guarantee the safety of data provided on a Card-Not-Present (CNP) transaction mode. On this note, this paper presents an RSA algorithm with encryption and decryption-based solution to the problems of data confidentiality and integrity. While the encryption mechanism provides secured and safe representation of financial data (such as credit card details) on the cloud, a message digest mechanism is used to decrypt the encrypted files at the gateway as well as generate and send a digest message for the transaction instrument to the user for authentication. Decryption by unauthorized user is effectively checked because the security key is exclusive to data owner and financial data is not domiciled on the merchant network. Experimental study and online survey of the system reveal its very high ratings for guaranteeing data safety and confidentiality as well as the efficacy of the digital signature, the RSA modulus and security keys (public and private) for reliable and attack-proof transactions.
The Occurrence and Enrichment of Scattered Indium: A Case Study of Dachang Ore Field in Guangxi, China

The Dachang tin-polymetallic deposit, which is located in the northwestern part of the Guangxi Zhuang Autonomous Region, contains great amounts of indium.But the occurrence and enrichment of indium are rather complex and not yet well understood.In this paper, the Dachang West ore belt (Tongkeng, Gaofeng) sphalerite is taken as the research object.Based on detailed field investigation and indoor microscopic observation of mineral phase, the spatial distribution law, occurrence state and relationship with main metallogenic elements of scattered elements indium were studied by means of high-precision electron probe and plasma mass spectrometry, in order to reveal its enrichment in sphalerite.The study results show that the content of scattered elements indium in the sphalerite of the Tongkeng deposit decreases with the increase of depth, while the Gaofeng deposit remains stable.Indium occurs mainly in the form of isomorphism and enters sphalerite lattice in the form of double substitution of zinc with copper, but does not exclude the possibility of indium being deposited as a sub-microinclusions.On the basis of previous studies, it is inferred that the indium-rich and copper-rich fluids produced by magma crystallization are metasomatic and enriched with the early-formed sphalerite in the late evolution of Granite Magma.The results of this study point the way to mineral processing and the search for scattered elements indium.
Webometrics and Mississippi Public Libraries: A Webometrics Study of Public Libraries in Mississippi

With the introduction of the Internet, library websites have become new access points for a global community. A library’s website serves as a new branch for its users, one that can be accessed 24/7 globally. But with that continuous access to such a large audience, a library’s website should include certain key information to be truly beneficial to the user. This website content analysis examines the websites of public library systems in Mississippi for the presence of four elements from Kumar and Bansal (2014) essential menus for a library’s homepage and for the presence of eight elements from Chow, Bridges, and Commander (2014) study of public and academic libraries.
LECTURERS’ POLITENESS STRATEGIES IN EFL CLASSROOM WITH MULTICULTURAL BACKGROUND

The choice of words used by the lecturer such as politeness strategies in the classroom interaction is very important, not only for controlling the classroom but also for the process of acquiring the language itself. This study aimed to investigate lecturer’s politeness strategies in criticizing teaching performance of students with multicultural backgrounds in a microteaching class. This qualitative study was conducted with the students from multicultural backgrounds. The subject of this study was a lecturer who taught Microteaching. The findings of this study showed that there were four most frequent criticism strategies used by the lecturer: demand for change, indicating standard, advice about change and other hint. In addition, the highest proportion of politeness strategies applied by the lecturer was occupied by positive politeness, off-record strategy, bald on record, and negative politeness. It implied that the lecturer mostly applied positive politeness in criticizing the students, in order to save the students’ face, get closer and give more positive feedback to help students develop their teaching performance. The facts also proved that students’ multicultural background did not affect too much lecturer’s decision in applying politeness strategies, yet it needed to be very careful in delivering them. Keywords: politeness strategies, criticism, multicultural backgrounds
Geo-gebra como herramienta didáctica en el proceso de enseñanza-aprendizaje de la matemática, y su incidencia en el rendimiento académico en los estudiantes de la carrera de ingeniería agronómica

The Geo-Gebra software as a didactic tool in the teaching-learning process of mathematics and its impact on academic performance in the first semester students of the Faculty of Natural Resources, Agronomic engineering career of ESPOCH. The problem that has been detected in the students of the first semester, a high rate of low performance in the learning of mathematics, in the race because there is a culture of learning on the part of the students, it is determined that we must make profound changes in educational paradigms, the proposal for this process is to use the Geo-Gebra software didactic tool of mathematics, for the research was based on a questionnaire of questions applied with respect to the use of Goe-Gebra software, as a teaching resource in teaching- learning of mathematics, then with the use of this tool a form of satisfaction was applied to students and teachers, to later make the didactic guide using the Geo - Gebra educational software, hence the importance of making striking designs according to the level or semester and with contents attached to the current geometry plans and programs in which educational. According to the work experience, a didactic guide was designed for the use of educational software specifically for inequations. It is concluded the research carried out that 72% of the students surveyed consider, using the ICTs it would improve the learning of the geometry and its academic performance; Therefore, it is recommended to train the teachers of the area and promote the proposal in the institution for the application in the teaching-learning process.
Comparative Study of Digital Forensic Investigation on Cyber Criminal

Digital forensic investigation has undergone tremendous changes in the last decade from initial computers to current mobile devices and storage devices.The significance of digital forensics in the process of prosecuting digital criminals who use digital devices.The process of analysing digital forensic investigations requires a model or framework so that the investigation process can run in more detail and structure.As in previous studies, there is no digital forensic investigation that addresses one standard for all.The digital crimes have increased around the world and have resulted in being developed of survey models that can be escalade to find digital evidence.In some previous studies, there have been many discussions about models or frameworks in investigating a digital forensic case, and these models can be widely used.Some models discuss a detailed process, and some discuss a process in general, this can lead to digital forensic investigators having difficulty choosing the right model in investigating a case.The digital forensic investigation must be carried out effectively, efficiently and structured, with several significant steps that must be considered.Every step and phase must produce documentation that is important in understanding how the investigation process is built.The goal of this paper was to study and compare the digital forensic investigation model.The study also included interpretation and illustration of fundamental concepts used by the framework or model.
Critical Software Processes Tailoring and Very Small Entities (VSE): A Literature Review

Aligned with the worldwide trend of developing using small teams, most of the critical software has been developed by small organizations, which demand a particular attention to establishment of process approaches suitable for them.Although there are many software standards, the majority of them do not specifically aim the needs of organizations such as Very Small Entities (VSEs).Standard processes are usually tailored based only on the software criticality, and so researches have been conducted about the effects of project characteristics on software processes and how to use them for processes tailoring.For systematically determining software processes, they need to be defined according to projects' characteristics and objectives.This work provides a review on project evaluation, process profiles, identification of factors which impact software processes, tools for classifying VSE software projects subject to processes tailoring.Results show the review organized in topics that surround the research objective, presenting the critical software and VSE scenario.Critical software and VSE standards comparison indicated that these processes present similarities, representing opportunities to use them complementarily.Accordingly, the projects' criteria selection is a means to support the understanding of the influence factors for critical software projects in VSE context and, furthermore, to develop a notion on adequate tailoring.A systematic approach can be helpful in the VSE context.Suggestions for future research are proposed based on the results.
Annotation Guideline No. 2: For Annotating Anachronies and Narrative Levels in Fiction

The following annotation guidelines were created with both the SANTA project and my own PhD research in mind. Their purpose is to provide tags for encoding narrative features related to time and perspective, as well as narrative levels.