Reviewerly/exHarmony huggingface dataset:
Technologische doorbraak eindelijk een privacyvriendelijke manier om data te benutten [Technological breakthrough finally, a privacy-friendly way to harness data]

Data sharing and analysis are essential when it comes to achieving economic growth and solving societal challenges. However, data sharing is yet to really get off the ground due to commercial and/or legal barriers, including the fundamental right to privacy. Innovative technologies such as Federated Learning and Multi-Party Computation offer a way to address this issue by securely learning from sensitive data from multiple sources without having to share this data.
Opportunities for using a flexible learning model in the Higher education system: needs, prospects and challenges

Presented is the analyzis of the problem of adaptation of existing educational models to the needs of society under conditions of economic transformation. The aim of the study is to substantiate the possibility of developing and using a flexible learning model in the higher education system, taking into account the needs of society and sectoral differentiation of the economy. As a result the paper analyzes the relationship between the quality of training and the degree of segmentation of the economy, taking into account the level of industry differentiation. It identifies factors that determine the model of Agile education and its final product. The authors have determined the relationship between the degree of industry segmentation and levels within the framework of the Agile-education model, where the quality of the educational product is proposed to be expressed by the category of competence exclusivity. A scheme for organizing training in the framework of the Agile model of education training is proposed, taking into account modern trends in the development of the socio-economic sector. The practical significance of the study lies in the possibility of using a flexible model of higher education in modern conditions of digital transformation and adaptation to the needs of society. Special attention is paid to the specifics of mastering the levels of education and funding sources. Social consequences of the research - the possibility of choosing an individual trajectory of education. Originality - the prospects, challenges and needs of modern society act as prerequisites for the modernization of the higher education model.
English Translation Effect Evaluation System Based on Big Data

Abstract In recent years, ontology has been widely used to model world knowledge at the conceptual level. In recent years, machine translation has been widely used. This paper focuses on the evaluation of machine translation system. This paper reviews and compares the types and standards of machine translation, the content of system evaluation, and the main methods of system evaluation. The experimental results show that a high-quality machine translation system must fully integrate linguistic knowledge and language neutral world knowledge. This paper introduces an ontology based English Chinese machine translation model system, which organizes concepts into a hierarchical structure and establishes rich conceptual connections among concepts. The accuracy of machine translation is improved by mapping words in a language to concepts in ontology. The experimental results show that the accuracy of machine translation can be improved by 10.8%.
Towards an Adaptive Educational Course on the Mathematical Foundations of Machine Learning

Today the development of information technology is closely related to the creation and application of machine learning and data analysis methods. In this regard, the need for training specialists in this area is growing. Very often, the study of machine learning methods is combined with the study of a certain programming language and the tools of its specialized library. This approach is undoubtedly justified, because it provides the possibility of accelerated application of the knowledge gained in practice. At the same time, it should be noted that with this approach, it is rather not machine learning methods that are studied, but a certain set of methodological techniques for using the tools of the specialized library. The presented work is devoted to the experience of creating an adaptive educational course on the mathematical foundations of machine learning. This course is aimed at undergraduate and graduate students of mathematical specialties. It is divided into core and variable parts. The obligatory core part is built around the PAC learning model and the binary classification problem. Within the variable part, issues of the weak learning model and the boosting methods are considered. Also a methodology of changing the variable part of the course is discussed.
Better depth images create better motion recognition

At present, motion recognition plays an important role in the field of computer vision, and the result of action recognition depends on the extracted feature mode and the expression type of action. Therefore, it is particularly important to propose a relatively fast and robust feature extraction method and apply it to action recognition. In this paper, we propose two feature extraction methods for motion recognition using the information provided by the depth camera, and achieve good recognition accuracy. The two feature extraction methods are as follows: The extraction of temporal and spatial information (ETS) and the clean extraction of temporal and spatial information (CETS). We compare the accuracy of the two feature extraction methods for action recognition, and find that the CETS method has a very good improvement compared with the ETS method. This will have a big significance to our exploration in the aspect of motion recognition.
Digital forensic method used in interoperability framework for information systems used on EU level in area of migration and border management

Over the past years, great effort was directed to make the various information systems interoperable, as the lack of interoperability was recognized as a major obstacle to progress on the general  digitalization  processes. Aiming to be able to exchange data and share information so that authorities and responsible officials have the information they need, when and where they need it.  Globally the interoperability framework is a commonly agreed approach to the delivery of public services in an interoperable manner, by defining basic interoperability guidelines in the form of common principles, models and recommendations. It represents the ability of information systems to exchange data and enable the sharing of information on efficient way. Implementation of interoperability framework is challenged specially regarding large IT systems on EU level using and developing in area of border management. In it biometric data has significant role as one of containing components. In this paper main components and current status of development will be presented, including those searching portal, common biometric system, common identity data repository and multiple identity detector. Following this approach,  use of a shared biometric matching service, as digital forensic method,  has goal to  allow users to perform more efficiently search and cross-match biometric data. Furthermore, a common identity repository will enable easy access to biographical information, so person can be more reliably identified and with a multiple identity detector it will be possible to  detect multiple identities.
One engineer’s approach to audio system design

Designing and implementing a complete audio system presents a unique set of challenges and relies upon a broad range of disciplines: covering acoustical, mechanical and electrical systems. This session will cover one approach to designing small, mass-produced, self-contained audio systems by describing key steps and explaining why they’re important. Topics to be covered include: simulation, measurement and tuning.
Photonic integrated neural network accelerators

The paper reports MZI-based photonic integrated devices fabricated in silicon- on-insulator and silicon nitride platforms acting as linear optical processors, and discusses their suitability for accelerating state-of-the-art neural networks for computer vision.
ANALISIS PSIKOLOGI HUMANISTIK TOKOH UTAMA NOVELDI ATAS SINGGASANA CINTA KARYA SYIFFANIS AMAAR DANHUBUNGANNYA DENGAN PEMBELAJARAN BAHASA INDONESIADI SMA

ABSTRACTThe novel is a literary work that is closely related to the mentality of thecharacters contained in it.. One novel that contains psychiatric problems is a novel DiAtas Singgasana Cinta by Syiffanis Amaar. This novel tells about the life journey of ayoung man who experiences various life problems. This study aims to describe andexplain the aspects of humanistic psychology main character, and the relationship withIndonesian language learning in high school. This type of research is a qualitativedescriptive study using a literary psychology approach. Analysis data techniques in thisstudy used the see techniques, note-taking technique, and concluding. The result of thestudy can be concluded that psychological humanistic needs, such as psycological needsand psychological needs to the main character not are fulfilled well. This makes thefigure of the Mahes as the main character who was originally cheerful, has a high spirit,and friendly to be more quiet, timid, moody, often worried, termented, sad, not excitedabout what he did. The results of this study can be used as literary material in highschcool. Especially in KD analyzes the contents, intrinsic elements, and novel language.Keywords: novel, humanistic psychology
How analysis of mobile app reviews problematises linguistic approaches to internet troll detection

Abstract State-sponsored internet trolls repeat themselves in a unique way. They have a small number of messages to convey but they have to do it multiple times. Understandably, they are afraid of being repetitive because that will inevitably lead to their identification as trolls. Hence, their only possible strategy is to keep diluting their target message with ever-changing filler words. That is exactly what makes them so susceptible to automatic detection. One serious challenge to this promising approach is posed by the fact that the same troll-like effect may arise as a result of collaborative repatterning that is not indicative of any malevolent practices in online communication. The current study addresses this issue by analysing more than 180,000 app reviews written in English and Russian and verifying the obtained results in the experimental setting where participants were asked to describe the same picture in two experimental conditions. The main finding of the study is that both observational and experimental samples became less troll-like as the time distance between their elements increased. Their ‘troll coefficient’ calculated as the ratio of the proportion of repeated content words among all content words to the proportion of repeated content word pairs among all content word pairs was found to be a function of time distance between separate individual contributions. These findings definitely render the task of developing efficient linguistic algorithms for internet troll detection more complicated. However, the problem can be alleviated by our ability to predict what the value of the troll coefficient of a certain group of texts would be if it depended solely on these texts’ creation time.
Kajian Toponimi Kampung di Sepanjang Sungai Brantas, Kota Malang: Suatu Upaya Mitigasi Bencana Hidrologi

Toponym is local wisdom regarding records of natural events when a place is named. Therefore, the toponym can be used as an indicator of hazard vulnerability in a place. This study aims to determine the relationship between toponyms and potential hydrological disasters, i.e. floods and landslides, in villages along the Brantas River, Malang City, East Java. Hydrological disaster is a serious concern for Malang City government. As an effort to mitigate, it is necessary to conduct toponymy studies of villages along the Brantas River, Malang City, East Java.This study aims to determine the correlation between toponyms and potential hydrological hazards, i.e. floods and landslides, in the study area. The research was conducted in a qualitative descriptive method. The toponyms were selected from old military maps which were published in 1882-1946. This allows us to conceive evolving landscape and high potential risk hydrological hazards in the study area. The identified toponyms were plotted on the base map and were overlaid to the potential hydrological hazard’s areas from the recent Malang Regional Disaster Management Agency’s map. The meanings of each toponym were studied based on a literature review. This research distinguished 33 toponyms. Seven of them related to geomorphology. Some of these toponyms linked to area which prone to hydrological hazards, i.e. Ledok. There was also toponym that indicated relatively low risk, i.e. Jenggrik. Comparing this result with the current hydrological hazard map, we could conclude that some area have used to be high risk hydrological hazards. In contrary, some areas that were low hydrological hazards risk evolved to hydrological hazards prone. These results can be used as recommendation in compiling a risk map for hydrological hazard in the research area. Therefore, it shows the role of toponymy in hydrological hazards mitigation.
PROSEDUR MOORING OPERATION DI KM. SAMUDRA ABADI VIII PADA PT. SUMBA HARAPAN

The vessels are equipped with engines that are expected to play in working out the motion, but did not rule out the ship if its motion is limited in the process and offshore berthing dock. So in the dock, the ship using a rope as process aids until the ship docked really bonded well and safely. With the hope when the ship tied up with a good and secure the loading and unloading process runs smoothly and safely. In fact, the implementation of the working rope frequent workplace accidents caused by human factors, material factors, and environmental factors. The human factor is very dominant as the main factor for the dock and offshore berthing process is a lot less maintenance equipment, ropes used less maintenance and tie-mooring patterns being applied is not appropriate. With reference to the provisions of the ISM Code and OCIMF Mooring Equipment Guidelines, in which to discuss about cord care, patterns of connective-mooring, as well as maintenance support equipment and offshore berthing berthing process. The care and use of appropriate on the ropes and then the process of berthing equipment will run smoothly and safely, in addition to providing an understanding of the importance of safety in people who participated in the work of the rope. So understanding it makes the man is aware of the use of safety equipment, equipment maintenance work, to understand the patterns of employment and working conditions. In this study, the authors apply comparative descriptive research methods. The purpose of such methods is explained, describe, and explain the results of a study of the object as it is according to the results of research in the field by comparing several objects, and does not draw conclusions or decisions in general. The primary data obtained directly from the object in the field, and secondary data obtained from litertur maritime and downloaded at the website maritime address. Following up on the incidence of occupational accidents caused by human factors that make damage to equipment and ropes used in the process and offshore berthing dock.
Robust Land Record System Using Blockchain in Bangladesh

Land registration is a method by which ownership, possession, or other rights in land can be recorded to provide evidence deed, facilitate transactions, and prevent illegal settlement. In Bangladesh, the verification process is slow, cumbersome, and fully manual. Hence, it is time-consuming, exhausting, error-prone, and easy to manipulate. Nowadays, there are numerous deceitful activities in land registration. The main problem is the use of paper documents in the land recording system. These paper documents can be easily forged, dispersed, or destroyed. In this research, we have proposed a land registration and verification system using blockchain. The intrinsic security feature of blockchain makes the data secure, tamper-proof, and difficult to hack. Blockchain reduces the use of forged documents and increases the credibility of each transaction. Each registered land becomes unique when they use blockchain technology. Blockchain offers the end-user all the records unchanged as well as updates along with a specific record.
Designing a Novel Memristor-based Chaotic System Pumped by Cosine and its Application in Image Encryption

Memristor, a nonlinear element with nanometer size, can be applied in chaotic system and thus enhancing complexity of the chaotic system. Therefore, a novel memristor-based 4D multi-scroll chaotic system via cosine is successfully designed in this letter. The main feature of this system is that the scroll number are sensitive to initial values, the transient simulation time, the flux variation of memristor and the strength of memristor, which is a significant difference from other chaotic systems reported before. Furthermore, the chaotic characteristics have been declared by using time series, 0-1 test chart, and Poincare maps. Besides, the number of scrolls can be controlled by designing a state feedback controller to select the ideal number of scrolls, and such a method for controlling the scroll number is extremely meaningful in suppressing the nonlinearity of chaotic systems. Finally, an algorithm for image encryption is proposed based on the bitwise and cross-transition between adjacent pixels. Both confusion and diffusion are related to the memristor-based chaotic system. Many statistical tests and security analysis show that this algorithm has a good security performance, which can be compared with other recently proposed image encryption algorithms.
Techniques for Future Enhancement for Security of Cloud Computing

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
EMOTIONAL MODALITIES OF A MODERN TEACHER AND THEIR CORRECTION

In the article the authors analyze the theoretical approaches to the concept of "emotional modality" in the psychological and pedagogical literature; highlight the features of the manifestation of the emotional modalities of the teacher, methods and techniques for correcting the emotional modalities of the teacher. The results of the study on the implementation of the program of correction of emotional modalities of the modern teacher are presented.
Prediction, Explanation, and the “Toolbox” Problem

Since the demise of the covering-law model, philosophers have drawn explanation and prediction apart, with the former attracting a much bigger share of attention than the latter. The now-mainstream causal-mechanistic approach is poorly equipped to deal with predictive inferences not backed up by explanations. Consequently, the “predictive turn,” the current trend whereby prediction is rapidly becoming a prominent fixture in the scientific landscape, has caught philosophers flatfooted. This essay explores the relation between prediction and causal explanation. Specifically, how can predictive and explanatory tools work in unison, while remaining distinct? This “toolbox problem,” I maintain, has a simple albeit powerful “black box solution.” Both prediction and explanation are grounded in the same underlying causal network. Yet, these inferences require varying degrees of mechanistic detail.
Image recognition and blind-guiding algorithm based on improved YOLOv3

Abstract YOLOv3, a target detection algorithm based on deep learning, is widely applied in object recognition, especially in guiding the blind. The existing products of assisting the blind based on YOLOv3 can already achieve high-precision, high-real-time object recognition. But YOLOv3 also has many limitations, such as the inability to measure distances or it’s hard to recognize objects correctly in fog or haze. For these deficiencies, this paper proposes a road barrier monitoring method based on improved YOLOv3, using an image downsampling algorithm based on the dark channel to defog the image, and then with the binocular distance measurement algorithm to calculate the obstacles from the distance of the camera according to the width and height of the obstacles. The experimental results show that the improved product retains the advantages of high accuracy and fast recognition speed of YOLOv3. At the same time, it also owns the new functions of obstacle ranging and bad weather identification. The improved algorithm can meet the requirements of portability, real-time, and practicality of guide products.
Synthesis: The necessary, but often neglected component of intelligence

Synthesis is the process of combining elements, including facts and frameworks, to make something new - something more than just a simple sum of its inputs. Synthesis is interdisciplinary, organise...
PERBANDINGAN QUALITY OF SERVICE JARINGAN MENGGUNAKAN ANTENA WAJAN BOLIC DAN ANTENA WIFI GUN

MiFi (Mini Wifi) is an internet service provider tool that can share internet connections with devices that are connected to it, unfortunately MiFi (Mini Wifi) has a very small hotspot range, so users are required to be close to MiFi (Mini Wifi) so that to connect, the farther a device is from MiFi (Mini Wifi), the less internet speed is given to the device. From this problem, researchers intend to expand the range of reception of hotspot signals on the MiFi (Mini Wifi), namely by using a pan grid antenna and a wifi gun antenna. Therefore, this study aims to compare the level of difference in the quality of network traffic using a griddle antenna and a wifi gun antenna in providing Quality of Service (QoS) services when capturing long-distance signals. The result of this comparison is as a reference for the community to choose the best long distance signal catcher between the griddle antenna and the wifi gun antenna.
On-Chip > 100 TMAC/sec Neuromorphic Photonics Turning into Reality

Remarkable advances in photonic integration fueled an impressive variety of neuromorphic architectures, combining coherent and Wavelength-Division-Multiplexing approaches in reducing latency, footprint and power consumption, while operating at multi-10 GHz clock-rates to yield > 100 TMAC/sec.