Reviewerly/exHarmony huggingface dataset:
Blob-Based Cell Counting Accuracy for Medical Applications

This article concentrated on the performance estimation of blob-based image segmentation for object counting. The purpose of these studies is to estimate algorithm efficiency in terms of faults and correct detections and obtain corresponding dependencies considering specific nature of medical images. For study implementation Matlab model with definition of relative methodology was used. As result of study, relative algorithms and the implementations of the modern information systems are considered; qualitative and numeric efficiency assessments for the segmentation algorithm and for filtering the cells on the basis of intellectual information systems are obtained. The obtained results can be used during the providing of relative systems in medicine and during algorithms improvements at scientific studies.
Measuring Vulnerabilities in Threat Modelling with Risk Matrix

Threat modeling is one of the most important parts when it comes to security in development of programing product. The main challenges for that are time and prioritization of the scope of work. Risk matrix is effective tool for making clear what should be done first and which consequences can be. There are few levels of consequences which are ranged by the influence on business. With help of vul-nerability assessment threats can be measured by impact on confidentiality, in-tegrity, and availability. The Common Vulnerability Scoring System is appropri-ate tool for catching the principal characteristics of a vulnerability and produce numerical score reflecting its severity.
Obtaining the Dynamic Coefficients of Structuredness for Assessing a Domain

Today, effective management of information requires an in-depth study of its internal organization. The structural organization of information affects the efficiency of choosing a method for solving the problem and the qualitative presentation of information about the subject area. Therefore, the article proposes a new semiotic structural approach to assessing the structuredness of information in a subject area, as well as theoretical, practical, and general logical methods for studying the process of search research as a single system. The authors proposed and investigated the structured information coeffi-cient, which the authors propose to consider in several aspects - with respect to the search research model presented by the traditional algorithm, and the structured subject area. The article presents theo-retical positions, derives the formula of coefficients for different cases, carries out calculations on the example of the subject area “optimization methods”, constructs graphs based on the calculated data, and draws conclusions.
Guide Timing Control for In-vehicle Speech Interface using Driving Signal

In recent years, speech interfaces have been proposed for making shopping order or restaurant reservations while transmitting information only by speech. It is easy to imagine that such a system will be installed in cars soon. However, to use the speech interface that can realize such tasks while the driver is driving, the system needs to understand the driving situation of the driver and control the speech guide timing accordingly. We focused on the fact that there are scenes (SCD: Scenes of Concentrate Driving) where the driver temporarily interrupts the speech operation unconsciously to concentrate on driving operations. However, one does not yet know in which scenes the voice dialogue becomes a burden. In this study, we identified driving scenes where dialogue is a burden (SCD), clarified the relationship between SCD and driving behavior, and considered a method to estimate SCD automatically. In this research, we define SCD as a situation in which the driver temporarily suspends the speech operation and wants to perform only the driving operation, although the system can perform both the speech operation and the driving operation. Under SCD circumstances, even if the speech interface presents some guidance, the driver can not understand its contents. Also, even if the system prompts for an answer by speech input, the driver does not answer. To confirm the existence of SCD, we have created nine driving scenes that require different driving operations (lane change, overtaking, narrow road, right turn, etc.) and reproduced these scenes using a Driving Simulator (DS). We also created some tasks to prompt the driver's voice input, and present them just before the driving scene, such we could check whether the driver interrupts or not the dialogue during the driving operations needed to pass the scene. We recorded speech and collected driving signals (steering angle, throttle opening, etc.) for 15 men and women in their 20s (11 men and 4 women) with a driver's license. First, for each driving scene, we checked whether the driver could answer the immediately preceding question presented by an operator and confirms that SCD occurs in various driving scenes. In the driving scenes involving lane change, the utterance was interrupted for more than 40% of the tasks. On the other hand, in the driving scenes in which the driver steers left and right curves, while driving in the same lane as the preceding vehicle, the utterance was seldom interrupted. These results confirm the existence of driving scenes in which speech is likely to be interrupted, that is, SCD. Next, we considered a machine learning model to estimate the occurrence of SCD automatically, using only the driving signal. We compared the classification accuracy of SCD occurrence according to several analysis window lengths, from 0.5seconds to 5 seconds with a 0.5seconds increment. The results showed that a trained Support Vector Machine (SVM) could provide a classification accuracy of about to 85% for two classes (SCD or not), and 82% for three classes (SCD, semi-SCD, regular) with a window size of 2seconds.
AN INCREMENTAL COMPONENT-BASED SYSTEM FOR MITIGATING PHISHING ATTACKS

Heuristics-based anti-phishing systems are the most deployed solutions in cyberspace. This is due to their generalization feature which is capable of preventing zero-day attacks. However, this promising anti-phishing countermeasure is faced with the problem of managing the feature corpus for scale and complexity. In addition, managing the redundant feature during an upgrade is another factor. In this paper, an incremental component system is proposed to this problem. The proposed framework consists of atomic units and composite units. These units provide encapsulations through which feature corpus is built with ease of management and upgrade. The scheme provides both generic and specific frameworks for designing an anti-phishing scheme with effective management of feature vectors. Therefore, maintenance and updates can be integrated without the total collapse of the system. Hence, the proposed framework can be described as being fault tolerant.
The role of a competency-based approach in teaching a foreign language in Kazakh universities

In the process of globalization taking place in a modern dynamically developing society, the subjects meeting the needs of the labor market are active, prone to changing working conditions, prone to self-education and improvement, especially business people with full professional competencies. Their peculiarity is the ability to actively think, critical thinking, independent assimilation of new knowledge. The competence-based approach is one of the most important methodological means of bringing the education system of Kazakhstan closer to foreign educational systems within the framework of the Bologna process. In this regard, the goal of foreign language teachers in Kazakh universities is to form genuine "competence" among students, the universality of competencies, even so that they can become "competitive". The article considers the competence approach primarily as an approach based on learning outcomes.
Automatic Extraction Of Interior Orientation Data In Aerial Photography Using Image Matching Method

The Interior Orientation is a set of parameters that have been determined to transform the coordinates of the camera photo, that is the coordinates of the pixel leading to the coordinates of the image. This parameter is used to calibrate the camera before use so as to produce a precise measurement from an aerial photograph. This orientation parameter consists of a calibrated and equivalent camera focal length, lens distortion, principal point, fiducial mark location, camera resolution, and flatness of the focal plane. All of these parameters are attached to or contained on the camera sensor and the values of these parameters can usually be known from the camera's report page. In this work, the author wants to obtain pixel coordinates from the Fiducial Mark in the base image (Window Search) automatically, therefore a Fiducial Mark template was created which is formed from a piece of a photo image frame to determine the Fiducial Mark coordinate values from the base image ( Window Search), the basis of this programming is to use the concept of photogrammetry, which uses Image Matching techniques. The Image Matching process was developed from the C ++ Language programming algorithm platform, this was done in order to speed up computational results. There are a number of techniques for doing Image Matching, in this study the authors conducted using the Normalized Cross-Correlation Image Matching. In statistics Normalized Cross-Correlation is between two random variables by determining the size of how closely the two variables are different simultaneously. Similarly, Normalized Cross-Correlation in Image Matching is a measurement by calculating the degree of similarity between two images. This level of similarity is determined by Normalized Cross-Correlation (NCC). The Least Square Image Matching method is used to increase the accuracy of the coordinates of the conjugation points.
Comparative Study of Techniques for Alleviating Class Imbalance in Spam Classification

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.
Dynamic Information Validation Scheme in Internet of Things Software Agent based Approach

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.
Blockchain and Cryptocurrency The World of Blockchain and Cryptocurrency

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.
Forging New Narratives

Visualizing information is a process of exposure. All data tells a story. The science and art of information design lies in choosing which one to tell—and how to get others to listen.
A Multilevel Approach for Smart Buildings Management

The Internet of Things paradigm has introduced the use of countless smart devices into our daily lives. These devices are able to assist us in our daily tasks, making the environments we experience increasingly pervasive. The most significant examples are smart cities, home monitoring systems, smart grids, and smart agriculture. In these fields, one of particular interest is represented by Smart Buildings, which are intelligent environments able to manage energy optimally and provide the highest possible comfort. This paper presents an innovative approach to managing complex IoT-based environments in Smart Buildings. The proposed approach exploits data coming from the context and the situation in which the user is located by extracting knowledge to support the user and performing autonomous choices on Smart Buildings' management. In particular, the approach aims to exploit data from sensors in combination with contextual data acquired through graph structures to perform actions that increase the ability to manage business buildings. An application case study conducted in a real environment will be presented. The system prototype has obtained promising results.
Implementation of the priority project «Export of education» in sociological dimension

Implementation of the priority project «Export of education in sociological dimension annotation due to historical, geopolitical and economic reasons, higher education in the regions of Russia is in different conditions in implementation of the federal project «Export of Education». The main component of the project, which universities are focused on in organizing international activities, today is the indicator - the number of foreign students in a certain ratio with the number of university students. However, the key strategic goal of the project is to increase the competitiveness of Russian education in the international market of educational services due to the attractiveness of domestic educational programs for foreign citizens, improve their living conditions during the period of study in Russia, which, ultimately, should significantly increase the amount of revenue from export of educational services. Organization of international activities and work with foreign students in universities, as well as the implementation of the indicator «number of foreign students», within the framework of the project, became the subject of the presented study, the main methods of which were determined: non-standardized interviews of leaders in charge of international activities of universities, and a survey foreign students of universities of the Khabarovsk territory. The obtained results allow us state that the project «Education Export» does not take into account the regional conditions for its implementation, the implementation of quantitative indicators is not additionally funded and is left to the mercy of universities. Foreign students of the region do not demonstrate complete satisfaction with education and organization of life. All this, on the one hand, is explained by the peculiarities of the motivation for their stay in the universities of Russia - the Khabarovsk territory, on the other hand, by the domestic specifics of the higher education system.
An IMU-Based Approach to High Accuracy Real-Time Activity Recognition of Aerobic Boxing

There are one million members of fitness sports in Taiwan. During the epidemic of COVID-19, they cannot enjoy fitness activity under the guidance of coaches as usual. Under the individual guidance of digital coaches, anytime and anyplace to enjoy safe sports seem to be the future trend. Therefore, this paper proposes an approach based on high-precision real-time motion recognition to digital coaches for aerobic boxing. Boxer wears two bracelets to interact with the coach. Through the embedding of inertial sensors and high-efficient micro-controller on the bracelet, the proposed approach meets the needs of everyone to instantly identify the correctness of actions when exercising alone. To evaluate the performance of the proposed approach, two activities such as swing boxing and hook boxing are verified. Numeric results show that the recognition accuracy of 93% and 85.71% is for swing boxing and hook boxing, respectively.
Human Nature and the Propensity for Knowledge and Comprehension of Meanings

The article discusses typical for human nature propensity for cognition and understanding. Cognition is a long process of orientation of thought in the world full of substances and energies. This process begins together with an appearing of personality and forms that personality. Understanding is human ability to fit systems of belief and knowledge into the world view recognized by the scientific academy, оr alternatively, to fit one into the religious doctrines. For a more prominent research of cognition and understanding it is necessary to distinguish subjectivity levels. The one is contained in us as we are the subjects of collective cognition and understanding, and the second contains my “Self” (the hidden, inner content of my personality). These levels can also be called “ours” and “mine.” In regards to cognition and understanding, a personality can designate and consider them as the heritage of all mankind and as his personal heritage. These both have a certain meaning. Further it is necessary to conclude that cognition and understanding have different shades of meaning depending on the field where they are supposed to be used. In the process of researching the problem, we realize the need to underline the problem of meanings in the creative nature of the personality. Meaning and creativity together form a personality, it is a vivid expression of human nature. The most important properties of a personality’s consciousness are cognition, understanding, and the ability to produce meanings. Discussion of cognition and understanding within the framework of the article can only have a relative accomplishment and must be further developed via new meanings.
Open-Source Software and Proprietary Software for Library Automation

By using library automation software the work gets done easily and quickly. There is no error in library housekeeping operation and solve many issues like stock verification, bibliography, OPAC search operation easily by library automation software. Open-source software is Open bibliog. library management software, KOHA, Avanti. Proprietary software is e-Granthalaya, SOUL, TLSS, and Libsys. By using any software handling library housekeeping and administrative work is very easy and reduces duplication. Many modules are available in software for library operation and each has its unique quality by which the work can be done easily.
EFEKTIVITAS JAMINAN PENDIDIKAN DAERAH (JPD) DALAM MENURUNKAN ANGKA PUTUS SEKOLAH DI KOTA YOGYAKARTA

This research aims to determine the effectiveness of the Regional Education Grant in reducing dropout rates in the City of Yogyakarta. The author explored the effectiveness of the Regional Education Grant on its role in reducing dropout rates, so the author explores Regional Education Grant rights in their role in reducing dropout rates for the last 5 years (2015-2019). This research adopted a descriptive quantitative research, this research described the situation that occurred, without testing the hypothesis with secondary data analysis methods which were complemented by the interview method. The population in this research were dropout rates in the city of Yogyakarta during the last 5 years. The data analyses used the regression coefficient analysis and the determination coefficient analysis. The result of this research is that the education security program can not be said to be effective, especially in reducing the dropout rates. The tendency causes were the problems of achievement program that were not maximized yet, especially due to the external factors such as the achievement of Regional Education Grant goals unsupport by public. For example, there was a missunderstanding information, which lead to the highest reason for dropping out rates in the City of Yogyakarta. It was actually triggered by a lack of motivation to learn so that the students were reluctant to go to school, with a percentage of 29.70%.
Development of Security Model for Protecting Data in the Cloud Using 3-TIER Authentication

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.
Does VR exergame increase a user’s physical performance? : An Exploratory Study Design

In this paper, we planned to see the positive effects of the immersive virtual environment. In particular, the positive effect of presence on physical performance was explored. A total of 25 participants were recruited for this experiment and his/her physical performance was measured by Electromyography (EMG) while they were exercising (rowing), and presence was measured by a self-reported measure. The participants were randomly assigned to experience either a) Virtual Reality (VR) or b) non-VR (2D screen) condition when they played the exergame. The result showed that 1) there was a positive relationship between representation mode and presence and 2) the higher level of presence reinforced the user