Reviewerly/exHarmony huggingface dataset:
DEVELOPMENT OF COLLEGE STUDENTS’ INFORMATION COMPETENCE BY MEANS OF DIGITAL INTERACTION

This article touches upon the problem of training students for successful digital interaction within the secondary vocational education system, which is currently relevant for pedagogy. The structural units of the considered process are analyzed. In addition, the authors highlight and analyze the stages of students’ information competence development at the college of telecommunication; and draw the conclusion about the efficiency of applying digital educational technologies within the framework of the educational process.
A Systematic Review of Highly Transparent Steganographic Methods for the Digital Audio

Audio steganography is a rapidly growing aspect of broad information protection. This paper presents an overview of steganographic methods using audio as a medium. As an additional aspect during the review, an effort was made to focus on the transparency requirement of the considered methods used in the steganography process. Previous literature reviews have not focused on a single aspect of method evaluation in sufficient depth. Data for the review were collected from papers published between 2018 and 2022 and gathered from three source databases, i.e. Web of Science, IEEE, and ACM, resulting in a total of 32 entries. The obtained methods were classified according to one of the approaches previously proposed in the literature. A systematic comparative analysis of the retrieved methods has been done, comparing their capacity, robustness, and transparency, with particular emphasis on transparency. In addition, a few of the most promising methods were selected and thoroughly analyzed for transparency behavior.
A Look into the Vulnerability of Voice Assisted IoT

The use of ‘smart’ assistants in our daily life have brought a change to the user perception of the complicacy of systems involved in the Internet of Things (IoT). The smart assistants come with inherent voice-driven software aimed to improve user experience. The ease of use however, comes with the potential threat to user data security. In this paper, we studied several researches in an attempt to understand the vulnerabilities of voice-driven IoT systems. We try to find the research areas in order to secure the unsuspecting users of an IoT system.
PENDETEKSIAN SEL DARAH PUTIH DARI CITRA PREPARAT DENGAN CONVOLUTIONAL NEURAL NETWORK

White Blood Cells play an important role as parts of the immune system by fighting against viruses, bacteria and potentially harmful foreign objects that enter the human body. The amount of white blood cells can indicate a certain disease or infection within the human body. This research aims to develop a system that can automatically detect and locate the location of white blood cells in a slide image that is stained or not stained. By not staining blood cell images, it can save time and resources that are normally used in white blood cell detection. This system is built using convolutional neural networks (CNN), a deep learning architecture. The CNN model is used for detecting white blood cells in stained images and is trained with 528 images and the model that is used for detecting white blood cells in unstained images is trained with 264 images. Bounding box regression is used to predict the location of white blood cells. The experiment test results show the detection accuracy for the stained images reach 53.85% and for the unstained images has 54.69% accuracy.
Tracking Aktivitas Manusia Dalam Ruangan Menggunakan Kalman Filter

With the increase of many households using surveillance systems for security, unlike office and mall buildings which own security human resources, house owners make time to manually check security footages. This gives house owners inconvenience and owning a security system seems more tedious, therefore inefficient if the footage is rarely seen. AI makes it possible to automatically check security footages. Using footage taken from a special room in home, susceptible for security breach and strategic, for example living room. This App works as a tool for homeowners, giving information about indoor activity. Information is given in a form of video footage of human tracking results containing trajectory line and activity log. Hence home owners will be able to supervise certain rooms and human behavior. Adopting point tracking as a detecting method, the target object is detected using background subtraction and image preprocessing to obtain centroid point, an input for statistical prediction of Kalman filter. Testing results showed that RMSE of Kalman filter prediction is higher than background subtraction when compared to true location, therefore background subtraction is used for Kalman filter’s RMSE. Resulting in RMSE for two scenarios are 85,08 and 89,28, this app also shows overall accuracy of 65,43%, precision of 70,56% and recall of 63,18% in total.
KLASIFIKASI EMOSI PADA WAJAH DARI REKAMAN APLIKASI VIDEO CONFERENCE DENGAN MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK

The COVID-19 pandemic has now become a very heartbreaking disaster for all inhabitants of the earth. All activities and life are certainly disrupted due to this epidemic. Education is also one of the areas that is hampered, all levels of education from TK, SD, SMP, and SMA, while in college must carry out the teaching and learning process online. By controlling emotions, it can have a good impact on controlling one's emotional intelligence. Humans generally have 2 ways of expressing their emotions, namely verbally and nonverbally. Verbal ability is to express everything that is felt consciously in words, while nonverbal ability is to express what the body feels using media on the body, such as hand movements, shrugging, facial expressions, and others. This system will classify emotions from facial expressions using the CNN method and face detection using the Viola-Jones method. Viola-jones is a method for detecting facial objects on images and CNN is a method for recognizing facial expressions. The viola-jones method has an average accuracy of 85.67% for detecting the location of faces and for CNN, the average accuracy for classifying emotions on faces is 52.46%.
PENDETEKSIAN SEL DARAH PUTIH DARI CITRA PREPARAT DENGAN YOU ONLY LOOK ONCE

Blood is a fluid that in the body, in the blood there are platelets, red blood cells and white blood cells. White blood cells play an important role in maintaining the body's defense from viruses or bacteria. Many diseases are related to white blood cells, to find out these conditions you need to do an examination to identify white blood cells. Based on this, this design aims to detect white blood cells on images of blood preparations. The method used is You Only Look Once to detect white blood cells in images of blood preparations. The test results showed that the proposed method obtained an accuracy rate of 100% for the detection of white blood cells with stained images and white blood cells without stained images obtained an accuracy rate of 76.5%.
PERANCANGAN SISTEM PENGELOMPOKAN DAN REKOMENDASI SAHAM LQ45 DENGAN K-MEDOIDS, EXPONENTIAL MOVING AVERAGE DAN WEIGHTED PRODUCT

Stock is an instrumentation that has the fundamentalsof a company. Owning a share means owning theshares of the company. Shares can be traded on theIndonesian Stock Exchange by the entire public. TheLQ45 stock grouping and recommendation applicationis a desktop-based application that aims to assist inmaking investment decisions in the Indonesian CapitalMarket. The application is designed using the Pythonprogramming language. The application applies the KMedoidsClustering method to group stocks andExponential Moving Average along with WeightedProducts to make recommendations or sort shares.Users can enter the desired share criteria and theapplication will recommend according to the inputcriteria from the user. Testing on this application iscarried out by the BlackBox testing method,questionnaire, K-Medoids Algorithm Testing and theoutput results of the program. From the results of theblack box testing, the application results can runaccording to plan. In testing the K-Medoids Algorithm,the results obtained that the number of clustersdetermined are in accordance with the number of 2clusters using the elbow method. And in testing theoutput results of the program, the results obtained arethe recommendation accuracy of 80.8%.
COSMISM IN FINE ART: ORIGINS, ESSENCE AND PERSPECTIVES

This work is devoted to cosmism in art, as it has become a particularly significant artistic style, clearly identifying high art as one of the ways of conceiving the world and man. It reveals the deep essence and the philosophical foundations of cosmism in visual arts. All that is presented in the context of those new views that were carried by artists-cosmists and which are associated with the symbolism of otherness and other states of matter, the inevitability of the spiritual evolution of mankind and, in general, with the ideas of the New World, New Man and New Beauty.
Vehicle Trajectory Reconstruction Using Image Difference Information

Evaluation criteria must be established to guarantee their safety for the widespread use of automated vehicles. One of the evaluation criteria is to reproduce actual near-miss situations and to use the ability to avoid them as an indicator. In this study, we examine the accuracy of image registration used to reproduce near-miss situations. The size of the fixed image is 512x512 pixel. The moving image is a 512x512 pixel area, which is rotated by -60 to 60 degrees in 1 degree increments around the center of the fixed image and translated by 155 pixels in 5 pixel increments up, down, left and right. Image registration was performed for the fixed image and the moving image based on the difference in luminance. As a result, it was found that the images were accurately aligned when the amount of translation was within about 4% of the image size and the amount of rotation was within the range of -30 to 30 degrees.
Examination of Automotive design and manufacturing utilizing qualitative integration method

With the rapid technological progress in recent years, training engineers with practical skills is a major issue. On the other hand, our university has introduced PBL education on the subject of automobiles and is working on improvement. Here, you can learn how to design a car with basic mechanics so that you can design and manufacture an automobile from scratch. On the other hand, there remains a problem that the concept cannot be realized in the actual experience that involves design and production. Therefore, we applied a thinking method such as the logical breast method and examined how to solve the problem.
Visualization of vibration mode shapes with a high-speed polarization interferometer

Experimental modal analysis that is fundamental technology is known to obtain dynamic characteristics of structures. In conventional vibration testing, vibration responses of the structures are generally measured by accelerometers during applying excitation forces by an exciter to ones. The contact type devices cannot be used for untouchable objects such as mirrors to measure the inputs and outputs in vibration testing. If we use a laser Doppler vibrometer (LDV) that is commercially available device, we can obtain the vibration response without contact. The LDV is a point measurement device, so we see the measurement time in a long time as an issue. In this paper, we measure using a surface vibration measurement system incorporating a high-speed polarization camera with an interferometer that is a commercially available one. Moreover, we show that this system can visualize a vibration mode shape of the mirror.
Антропология маскарада в концепции Федора Степуна

The article takes up the issue of the masquerade in an anthropological perspective. On the basis of F. Stepun’s letter to his wife (included in his work From the Letters of an Ensign Artilleryman, 1916), in which the philosopher gives a characterization of the New Year as a holiday which inseparable attribute is the mask and masquerade (as a form of transgressing the individual self in the sphere of a culture), the author distinguishes the two types of this phenomenon – pure entertainment and philosophical or transcendental masquerade (these are Stepun’s terms). The paper explains what these terms mean in relation to the theatrical phenomenon and also draws a distinction between the mentioned secular holiday and religious holidays, for example Christmas Day and Feast of Holy Trinity. Then, in the light of the text The Main Problems of the Theater (1923), the question about the conditions of the possibility of a philosophical masquerade is posed. Stepun, introducing the concepts of "unanimity" and "multanimity", distinguishes three anthropological types – the city dweller, the mystic, and the artist; only one of them meets the conditions of philosophical masquerade. Thanks to the juxtaposition of these two mentioned above texts, the anthropological basis of the theatrical phenomena, including the masquerade, emerges. The article also raises the question of the tragic principle in the context of anthropology as well as culture. The similarity of the concepts of tragedy introduced by Fyodor Stepun and Vyacheslav Ivanov is shown. The final point of the considerations is the statement that refers the notion of theatricality first and foremost to an anthropological category, and only secondarily to cultural phenomena. The paper shows the necessary anthropological background for the phenomenon of masquerade
Development of Double Helical Gear Driving Device of Improved Division type

Double helical gear driving device was contrived newly to realize stable run and high reliability in place of conventional helical gear driving device, because the load on the driving device is increased by high-speed Shinkansen to 360km/h. Therefore we produced some double helical gear driving devices experimentally, and verified performances and long-term durability by some tests using rotation testing machines and the high-speed examination train (commonly known as FASTECH360 and ALFA-X) on main track, and could confirm that it was a good result. In this paper, we describe the summary and characteristics that became clear in the development of the double helical gear driving devices of division type.
International Expert Cooperation in Forensic Activities

In the article, the author reveals some features of international cooperation in the field of forensic activities, as a result of which he makes a number of conclusions that are important for practice.
Gamification in the Teaching-Learning Process for Initial Education Children

The main objective of this research is to carry out an analysis of the impact of this didactic strategy in the teaching-learning process through a quasi-experimental study and a comparative analysis in initial education students, aimed at generating an innovative proposal for the educational field The present investigation began with the application of a pretest, to determine the knowledge before the intervention with the gamification tool designed for mobile devices. After the intervention, a post-test was applied to both control and experimental groups. The result was that the experimental group achieved better results compared to the control group. Finally, it is concluded that the learning obtained when working with a technological tool is significant, as part of a didactic strategy.
A methodology of estimating derailment occurrence probability during an earthquake considering effects of railway structure and train diagram

In this paper, we investigate a methodology that estimates derailment occurrence probability during an earthquake through the railway route. The methodology, which is based on the derailment occurrence estimation using track vibration waveform during an earthquake, includes effects of the parameter of railway structures and the existence probability of the railway vehicles due to train diagrams. The trial calculation using the proposed methodology has shown that the train possibly derails when it runs near the epicenter in case of active fault type earthquakes with shallow hypocenter.
On-Chip &gt; 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 &gt; 100 TMAC/sec.
A manual winch project with a two way ratchet mechanism

A manual winch project with a two way ratchet mechanismThe article describes a solution to an engineering problem concerning the development of a design of a manual winch for off-road vehicle users.The aim of the design is to provide the possibility of extracting an off-road vehicle which is not equipped with an electric winch in the event it becomes stuck in mud or sand.The concept was based on a review of available solutions on the market and an analysis of their advantages and disadvantages.The design was based on calculations performed in accordance with the literature recommendations and FEM strength analyses carried out on a model created using Autodesk Inventor Professional 2020.The developed device is able to provide a pulling force of over 50 kN with an unladen weight of 35 kg, and also provides the possibility of controlled lowering of the load.
Demonstration of 10-port Integrated Optical Unitary Converter

We report a 10-port optical unitary converter integrated on a silicon photonic chip. Reconfigurable unitary operations are demonstrated for both the transverse-electric (TE) and the transverse-magnetic (TM) polarization modes.
Technique for shortening the term of periodic inspection of a steam turbine utilizing 3D shape measurement and FEA

In a conventional periodic inspection of a steam turbine, the amount of clearance change during turbine assembly is obtained by temporary assembly and used in alignment adjustment. Because this temporary assembly takes several days to a week, this paper proposed a virtual assembly method using 3D shape measurement and finite element analysis (FEA) as an alternative to the temporary assembly for the purpose of skipping it and extending the plant operation term. In the virtual assembly, the shape of the horizontal flange surface of the turbine casing is firstly measured by high-precision laser measurement, and the continuous surface of Non-Uniform Rational B-Spline (NURBS) is automatically generated from the measured shape. Then, the horizontal flange surface of analysis mesh is adjusted to the generated NURBS surface to reflect the actual distorted shape. Finally, the FEA simulates the casing assembly and estimates the amount of clearance change during turbine assembly. The effectiveness of the proposed method was confirmed by evaluating the prediction accuracy in actual turbines. The proposed method makes it possible to shorten the total term of the periodic inspection by omitting the temporary assembly with maintaining the appropriate clearance.
Adaptive and Dynamic RF Systems Enabled by Bio-Inspired Photonics and Microwave Photonics

We introduce various bio-inspired and microwave photonic technologies for improving security, ensuring channel availability, and increase adaptability to environmental changes. Solutions from the nature are excellent candidates for tackling critical challenges in emerging RF systems.
Single Sink Repositioning Technique in Wireless Sensor Networks for Increasing Throughput and Decreasing Delay

Wireless sensor network (WSN) refers to a group of spatially spread and enthusiastic sensors for monitoring and recording the physical conditions of the environment and organizing the collected data at a central location. WSN becomes an energetic subject with the rapid development that is vulnerable to a varied high-quality of attacks due to deployment in the hostile environment. In WSN, throughput is defined as the amount of data transferred from one sensor node to another in a specified amount of time. Delay It refers to the total time taken for a single packet to be transmitted across a network from source to destination. The basic idea of sink relocation is to shorten the distance between sink node and sensor node. So, that significant power savings can be achieved. The problem of distant node energy consumption of wireless sensor node was solved by sink repositioning technique which has capability to move and communicate with all sensor node inside the region. The sink node and sensor node are randomly deployed within the geographic extent of the entire network. In order to test for the impact of repositioning the total power transmission of the sensors for the previous and next sink positions is evaluated and compared. This is result in increasing life time of sensor network by putting sink node at optimum location to decrease the distant node, increases throughput and decrease delay with sink node and analyze the difference. The main aim of the study was to increase throughput and decrease end to end delay. For this study we have used NS-2.35 environment for simulation. Our simulation results show that repositioning the sink achieves significant change on throughput and delay when compared to the static sink approach that have been presented by using network animator(NAM) and Xgraph. Keywords: WSN, Sink node, sensor node, throughput, delay and sink reposition. DOI: 10.7176/CEIS/12-1-02 Publication date: January 31 st 2021
Word Association Thematic Analysis Examples

This chapter reports a series of different types of WATA, focusing on the results and data sources and picking out a few methods details. Each is based on a published journal article with an open access version online.