Reviewerly/exHarmony huggingface dataset:
International Conference «Marchuk Scientific Readings 2021» (MSR-2021)

Abstract Preface These Conference Proceedings contain the selected papers of the International Conference «Marchuk Scientific Readings 2021» (MSR-2021) held on October 4 - 8, 2021, in Akademgorodok, Novosibirsk, Russia. The purpose of the «Marchuk Scientific Readings» conference series is to gather specialists in numerical analysis, applied mathematics, mathematical modeling, computational technologies, information systems, artificial intelligence, and machine learning to discuss, identify and systematize current results, applications, and promising directions in computational mathematics and computer science. Due to the risk of spreading coronavirus infection, the meeting took place virtually. The organizers were located in the Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Novosibirsk, Russia). Morning sessions were devoted to the conference sections’ invited oral (20 minutes) and oral (15 minutes) presentations. The Plenary talks (30 minutes) were delivered on the afternoon sessions. Within the timeframe of a talk, there was a possibility to ask and answer several questions from the audience. Technologically, the meeting was carried out on the Zoom platform. Plenary talks were broadcast on youtube.com. This conference was the second one carried out with the help of the Zoom platform, and most of the technical issues were already solved in the previous year. In pandemic conditions, the virtual conference seems to be the most appropriate format to share the research results without exposing the community to the risk of infection. List of Program committee is available in this pdf.
Development of Navigation System for Path Planning of Autonomous Cleaning Robot

This paper aims to develop an autonomous floor-cleaning robot that is deployed for indoor uses. The proposed method is developed based on the execution of two fundamental processes, including map building and navigation using ROS. In which the perception of the environment relies on the LiDAR, which is installed on top of the cleaning machine. Firstly, The LiDAR data is used to construct a grid map and introduces the concept of grid occupancy. Then, an algorithm is developed for path planning and trajectory tracking automatically. Furthermore, the essential information of the cleaning machine is published on the MySQL server using TCP/IP communication protocol that can be used to visualize and monitor the cleaner robot in real-time.
A Study of Supply Network Characteristics of the Korean Automobile Industry by Parts Function: Through Social Network Analysis

코로나(Covid19) 사태로 인해 자동차 공급사슬에서의 단절(Disruption)로 인한 문제가 더욱 부각 되었고 무엇보다 안정적인 공급체인 구성이 기업의 생존에 화두가 되고 있다. 특히 복잡한 공급사슬 구조를 가져 유기적으로 연결되어 있는 자동차 부품산업은 각 공급업체별 개별적 분석으로 전체를 이해하는데 한계점이 존재한다. 따라서 좀 더 확장된 시각에서의 폭넓은 부품 네트워크의 실증적 분석에 대한 요구가 높아지고 있다. 본 연구에서는 한국자동차산업을 사회연결망분석(SNA_Social Network Analysis)기반하여 부품 네트워크를 분석하였다. 기존 연구에서는 각 개별 기업별 중심성(연결 중심성, 매개 중심성, 근접 중심성)을 특정 부품(브레이크 등)으로 국한하여 연구가 진행되었다. 본 연구에서는 자동차에 포함되는 부품들을 기능별로 구분하여 대부분의 주요 부품을 포함시켜서 각 부품의 한국자동차산업 네트워크의 특성을 분석하였다. 한국자동차사산업의 부품기능별로 체계적인 분석을 위하여 산업현장에서 통용되고 있는 분류체계 중에서 대한무역투자진흥공사(KOTRA)에서 수출입 자동차 부품 집계용으로 분류 사용하고 있는 6대 분류체계를 본 연구에 적용하였다. 이에 따른 연구 결과로 외향연결중심성(방향성 있음/없음)과 매개 중심성(방향성 없음)에서 부품기능별 유의미한 차이점을 확인할 수 있었다. 이를 통해 한국자동차산업에서의 부품기능별 부품 네트워크 특성 이해와 더불어 한국자동차산업 정책 전반에 참조할 수 있는 시사점을 제공하고자 하는데 본 연구의 목적이 있다.Understanding the automotive supply chain structure has received greater focus due to the disruption caused by Covid-19. Above all, a sustainable supply chain is now essential for companies’ survival. Particularly, the automobile parts industry, which has a complex supply chain structure, is difficult to understand through individual supplier analysis. Therefore, to provide better understanding for the structure of the auto parts supply chain, it is necessary to analyze the broad network. We analyzed the auto parts network of the Korean automobile industry using social network analysis (SNA). Previous studies considered the centrality of each individual company (degree centrality, betweenness centrality, closeness centrality) with specific parts (brakes, etc.). This study included the auto parts, classified by function and most major parts, and analyzed the characteristics of the network of the Korean automobile industry by part We found significant differences among part groups based on function with degree centrality and betweenness centrality. This study can provide the automobile industry policy suggestions through understanding of the characteristics of the Korean automobile parts network.
Snowflake Data Cloud Architecture

This chapter will cover the essentials of the Snowflake Data Cloud architecture that has made Snowflake widely popular. This hybrid architecture provides Snowflake with ease of use as well as fast and scalable performance. When the founders decided to build a new relational database completely based on the cloud, they were able to create architectural advantages beyond existing database architectures. One of the key architectural beliefs they were founded on was that tying storage to compute created challenges with scaling on the cloud.
Simple Approach to Model Photovoltaic Module using Solver Utility of Microsoft Excel

Photovoltaic (PV) modules are used to extract electrical energy from the solar energy efficiently. The relationship between the output voltage and current of a PV module being nonlinear, development of a proper model is a complex task. Due to very limited PV module models available in many simulation tools, studies that use such models are therefore constrained. This paper proposes a simple yet effective method to extract the parameters of the PV module by exploiting the solver utility of Microsoft’s Excel. These extracted parameters are then used to construct the model. The correctness of the model is verified by carrying out simulation in the spice environment. The data points required to extract the parameters can be taken either from the datasheet or from the experiment. Use of a common and well-known tool like Excel makes the implementation of proposed method not only easy but also simple.
Future Crime in Cyber Security

As we all know nowadays everything is connected to the internet. Bits and bytes flow freely from one country to another country without any border guards. Technology progress has helped our world in many ways, but there are always two sides to everything. where there are good things. there are bad things also. In today’s society, we spend the majority of our time online, be it doing business, paying bills, making friends, selling cars, or purchasing a home, from applying to college to finding a life partner. Today’s criminals are taking the advantage of technology for crimes. The most often asked question is “What is the next big crime?” the answer in this paper. We covered some worst scenarios/cybercrimes you’ve never thought of. Before you begin with this paper, let us first tell you what this paper is not. It is not a guide on how to hack someone’s social media accounts, mobile devices, etc., or how to prevent yourself from hackers or cybercriminals. Yes, we covered some prevention techniques but, in the end, it all depends on you. This paper isn’t just what was going on yesterday or even what Is happening today. It is about where we are going tomorrow. This research paper throws light on the field of cybercrimes which are usually people don’t know.
Audio Watermarking Scheme for Ownership Verification Using ANN Based Optimal Quantization Strategy

Audio signals tampering and false ownership claims have seen a rise in recent times. The fast and easy audio sharing options create a possibility of audio content tampering with an ease of few clicks. Audio watermarking is a possible solution to safeguard the interest of audio creators by providing them a way to verify the ownership of the audio. ANN based mean singular values quantization strategy for audio watermarking is proposed in this work. The robustness of singular values is used to provide a robust nature to the watermark. The main contribution of proposed work is that artificial neural network (ANN) is used to find the optimal value of quantization factor (µ). The use of ANN helps to obtain optimal trade-off between imperceptibility and robustness in a speedy manner. A total of 100 audio samples are used to generate the ANN training samples for the prediction of optimal quantization factor, and 40 audio samples are used to test the same. Different attacks are tested on the watermarked audio signal to ensure a decent performance. The use of ANN decreases the run time requirement (to obtain the optimal quantization factor) by around 60 times as compared to iterative method.
Is Data Mining Merely Hype?

The term “data mining” seems to be appearing virtually everywhere. The proposed definition identifies three key components of the data mining process: selecting, exploring, and modeling. Marketing departments were among the first to realize the “business ad-vantage” promised by data mining. Credit risk departments are now also realizing substantial benefits from data mining. The contention that data mining is just statistics repackaged, i.e., that statistics and data mining are synonymous terms, at first brush might seem rather difficult to refute. Data mining carries with it an implicit justification for the warehouse to support it. On the other hand, the business advantage of a data warehouse is solely a function of the power of the analyses it facilitates. Data mining can guide the construction of the data warehouse by identifying which columns in the original data store should become dimensions in the data warehouse.
Attribute sharing systems of the star type

In this paper, we describe how to construct an attribute sharing system, in which a user who is registered to plural service systems can share his own attribute data among those service systems. This enables a user, in some service system, to use his own data registered stored in other service systems. By usual way such as OAuth technique, a user needs to make setting for any pair of two systems, and n(n-1)-time setting is necessary in case of n service systems. Our system employs another entity called the control center C, and forms service systems and C into a star-type network whose center is C. Thereby, we can decrease the times for a user to make setting, actually to n, and then we can construct attribute sharing systems convenient for users.
دور الإنفاق الأستثماري العام في تعزيز التحول الهيكلي للاقتصاد العراقي بعد عام 2003

This research aims to diagnose the reality of the contribution of public investment spending to the structural transformation in the Iraqi economy by using the descriptive analytical method. The weak relationship between public investment spending and structural transformation has been found as a result of weak investment allocations directed to the productive sectors that can contribute to correcting the imbalance in the production structure. On the basis of this, the research stressed the need to increase public investment spending in order to stimulate the work of the investment multiplier and accelerator, which would contribute to correcting the production structure and achieving structural transformation in the Iraqi economy
Strategic Partnerships and the “New” Subscription Agency: Hopes and Dreams for the Next Millennium

The past five years in the serials vendor community have been a period of tremendous change. The number of serials vendors continues to decline while those still left in the marketplace look for ways to adapt to meet new demands and fiscal realities. In the information industry as a whole, there is a trend toward development of strategic partnerships between companies seeking new markets, better margins, or simply a means of survival. Existing business partnerships that involve subscription agencies have tended to involve other third-party service or product providers. However, 234new business management theories also present the idea of strategic partnerships in the context of building closer, mutually beneficial relationships between suppliers and customers. This paper explores the possible application of this theory and other trends to the changing serials industry. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo@haworth.com]
Malicious email detection via machine learning approaches

Nowadays, despite the popularity of smartphones in our daily lives, emails are still the most widespread way for people to communicate and exchange information in business and many other circumstances. However, a tremendous problem called malicious email, also known as spam, bothers people and demands constant detection and block. This paper discusses machine learning approaches to achieve malicious email detection. The data for training is more than 10,000 raw emails with Chinese text as well as features including server name, IP address, timestamp, and content. First, the contents are split into words via feature engineering. Then, the malicious email detection is carried out by multiple machines learning methods, including Naïve Bayes, Decision Tree, Random Forest, Gradient Boosting Decision Tree (GBDT), Support Vector Machine (SVM), and K Nearest Neighbor (KNN), respectively. The performance of these models is evaluated by criteria like precision, recall score, F1 score, and time cost. It is shown that the Naïve Bayes model yields the best results, with the F1 score being higher than 97%, which indicates that our model is promising in practice.
Aircraft Target Recognition Combining Saliency Detection and Feature Matching

According to the difference of visual saliency between target and background together with the morphological characteristics of the aircrafts. This paper proposes a novel aircraft target recognition algorithm based on saliency detection. The algorithm first detects the saliency of the pre-processed remote sensing image and eliminates the influence of shadow for the region of interest extraction distinguish the region of interest based on the morphological characteristics of the aircrafts, and then achieve aircraft target recognition. Finally, calculates the aircraft fuselage length, wingspan and relative moments. Afterwards, the aircraft type discrimination can be achieved via feature matching. Extensive experiments show that the algorithm has accurate feature extraction results and high target recognition accuracy.
The Role of Human Beings as Knowledge Managers with and for Sustainability in the Digital Age

Humanity faces challenges related to climate change, technological and scientific negative impacts in the environment, lack of water resources and social inequality, among others. Public and private companies need to be aware of their social and environmental responsibility, in addition to being profitable. Sustainability is related to transdisciplinarity, and the dimensions are economic, social, and environmental. The digital age is changing business behaviors and business models are necessary. Companies are facing new ways to do business because of the adoption of IoT technologies, intensive data exchange and data analytics. The main objective of this research was to discover the role of human beings as knowledge managers with and for sustainability, in the digital age, trying to answer the following questions: How do knowledge managers develop their activities for sustainability in the digital era? How are human beings changing in the digitalization era? How is it possible to interlink knowledge management, digitalization, and sustainability? The bibliographic review showed a lack of research information. Knowledge management was identified as a key factor in the sustainability process of companies and the role of knowledge managers was perceived as a crucial element in driving companies’ objectives, including cultural and structural changes.
Research on the Application of Computer VR Technology in the Three-Dimensional Virtual Landscape Design by 3dsMAX Modeling Software

In order to ensure the rationality of garden landscape design, it is of great practical significance to simulate the planning effect. Aiming at the problems existing in the two traditional garden landscape planning effect simulation systems, a new garden landscape planning effect simulation system is designed on the basis of virtual reality technology. Here, 3dsMAX and ArcGIS software are used for three-dimensional virtual landscape design, 3dsMAX modeling software is fully utilized to build a three-dimensional platform, and the system design is realized through ArcGIS software. Through data acquisition and model establishment, the feature classes of all models are converted into point features, and the 3D model layer data composed of point features is imported into the ArcGIS 3D system to establish a digital system. The three-dimensional model is integrated with the GIS platform to realize the three-dimensional visualization of the landscape, and complete the management and display functions of the system data, as well as the functions of spatial information query and spatial analysis.
Italian

Historically, Italian is clearly one of the modern-day descendants of Latin, but the line of descent is not altogether direct. The line between central and southern dialects approximates to the boundary between the Lombard kingdom of Italy and the Norman kingdom of Sicily, and to a point where the appennines broaden out to form a kind of mountain barrier between the two parts of the peninsula. The presence of Italian outside the boundaries of the modern Italian state is due to two rather different types of circumstance. First, it may be spoken in areas either geographically continuous with or at some time part of Italy, as in the independent Republic of San Marino. The second circumstance arises when Italian, or more often Italian dialects, has been carried overseas, mainly to the new world. Nouns in Italian may be accompanied by articles, definite or indefinite, numerals and quantifiers, demonstratives, possessives and adjectives.
The introspective patient perception on mistletoe therapy and cancer: A qualitative study

In Chinese Medicine (CM), pulse feeling has been translated into a three-dimensional pulse image (3DPI), a visible quantitative format. An adaptive neuro-fuzzy inference system (ANFIS) with a genetic algorithm (GA) with several spatiotemporal indexes from contour analysis of 3DPIs was proposed in order to investigate the taut level of a string-like pulse.Forty-eight pulse image patterns and 283 2DPIs were obtained before and after a cold pressor test (CPT). The 3DPI and two-dimensional pulse image (2DPI) were constructed successively via spline interpolation. The improved contour analysis of pulse images was to elucidate three indexes from 2DPI at the contour level 0.8: the longitudinal diameter (2DL), the transverse diameter (2DT), and the area of contours. These indexes were adapted to ANFIS-GA system, whereas the output was taut level value α.α can reflect the taut level of string-like pulse. The ANFIS-GA provides a pattern and system to analyze taut level of string-like pulse.CPT increases arterial stiffness to make pulse image tauter. The ANFIS-GA can efficiently demonstrate the taut level of pulse images to help CM physicians diagnose CM syndromes and promote CM standardization.
Formation of the Upbringing Cultural Environment of a School as an Emotional and Figurative Way of Improving Education Quality

The process of upbringing by means of art is an influential factor in education quality improvement. In this regard, an emotional and figurative way of cognition proposed in the study becomes the foundation for the upbringing cultural environment at school. In the conducted experiment, children from the sixth, seventh, and eighth grades take part in project activity integrating various subject areas. The experiment results show a positive dynamic in the academic performance of students involved in project activity of creating multimedia products which substantiates the effectiveness of creating an upbringing cultural environment within the framework of emotional and figurative cognition in improving the quality of education.
EDI and the Library

Following Tina Feick’s informative and focused overview of what EDI is and is not, James Huesmann provided a broader view, where EDI is defined as any commercial or non-commercial transaction allowing information to be communicated electronically without rekeying that information. Interlibrary loan, document delivery, and transmitting files using FTP are all examples of EDI in this broader definition. Huesmann described his view of libraries and EDI, as well as its specific use at his own library. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo®haworth.com]
Prospects for the Use of Artificial Intelligence Technologies in Education

The article presents the results of a study devoted to the analysis of the proliferation activity of artificial intelligence (AI) technologies in higher education and the reasons that interfere with this process. The results of a questionnaire survey of employees and leaders of educational organizations in relation to the prospects for the use of artificial intelligence. It has been proven that technical universities and universities - &#x201C;leaders&#x201D; are more active and more successful in introducing AI into the educational process. The proliferation of AI in the education organizations is most influenced by the presence of a critical mass of employees with the appropriate competencies. There is a dissimilarity in forecasts about the prospects for the introduction of AI in the groups of universities leading and not so successful. Introductio
Effectiveness Of Boezem As A Zero Runoff In Blimbing Subdistric, Malang

Abstract During the rainy season, inundation often occurs in Blimbing Hamlet, Malang, which caused by inadequate existing drains and lack of utilization in water catchment buildings. Therefore it is necessary to accommodate this condition using zero runoff concept, by utilizing boezem, which is expected there is no inundation at all by flowing flow immediately either seeping into the ground or into an artificial landfill. In Blimbing Hamlet, there is a boezem for serving and accommodating rainwater. For overcoming inundation in this area, maximalizing the boezem is significantly essential. This research is aimed to know the effectiveness of boezem for zero runoff. This assessment was done by hydrology analysis to obtain Q2, and Q5, for boezem planning, inlet outlets gate, and new drainage channels. The evaluation for existing drainage system showed there was inundation in some drainage channels. A boezem area of 836.9 m 2 with 1.1 m depth can reduce inundation to 10%. Alternative inundation countermeasures are carried out with the added depth of 3 m, floodgates on inlets and outlets with of 0.5 m width steel gate, and drainage channel inlets and outlets. With the rehabilitation of boezem and other complementary buildings, it can reduce inundation by 30%.
Proposal for a saliency map based on the focal points of a painting

We assumed that there was regularity in the eye movements of viewers of a good painting. By constructing a database of gaze-point distributions, we found that the relationship between the author's intention and the gaze points of the viewer can be clarified, and we are creating a gaze-point-distribution database. In making a painting, the painter attempts to guide the viewer's eye movement. We studied the degree of coincidence between gaze points and the saliency map obtained by filtering the original image on the basis of the painting’s focal point. We believe it will be possible to predict the distribution of viewer’s gaze points when looking at a painting with high accuracy using the proposed method.