bluuebunny/crossref_metadata_2025 huggingface dataset:
PEMBAHARUAN BIROKRASI KEPEMILUAN
Authors: Wibisono Eko Agus , Imawan Satria Aji
Published: November 2022

Birokrasi dan birokratisasi menjadi bahasan yang paling banyak melekat pada bahasan mengenai tata pemerintahan, padahal birokrasi dan birokratisasi memiliki makna yang luas. Substansi utama pembahasan mengenai birokrasi membahas aspek tata kelola, oleh karenanya kata birokrasi dan birokratisasi dalam melekat kepada banyak entitas, mulai dari kementerian, kampus, organisasi, hingga pada banyak sektor, termasuk pada kepemiluan. Salah satu isu penting dalam birokrasi dan kepemiluan ada pada bahasan mengenai pembaharuan birokrasi. Pembaharuan birokrasi kerap kali dimaknai sebagai perubahan sistem, terutama implementasi perubahan regulasi, penerapan prinsip transparansi, dan akuntabilitas. Padahal pembaharuan menekankan pada kemampuan adaptif dari birokrat, birokrasi, dan birokratisasi pada perubahan yang ada. Tulisan ini berfokus pada apa saja tantangan bagi penyelenggara pemilu, terutama dari aspek etika, serta bagaimana aspek etika menjadi spirit utama bagi bekerjanya penyelenggara pemilu. Tulisan ini menggunakan pendekatan kualitatif dengan menggunakan data sekunder dari internet, berupa artikel, jurnal, maupun berita sebagai data utama. Hasil menunjukkan bahwa integritas dan transparansi saja tidak cukup bagi para penyelenggara pemilu, baik di tingkat komisioner hingga kesekretariatan, dibutuhkan sensitivitas peluang politisasi pada manajemen pemilu. Terdapat penguatan aspek penguatan etika penyelenggara pemilu telah mengalami penguatan secara kelembagaan pada pemilu 2019 dibandingkan pada pemilu 2014.
EKSISTENSI GUGATAN TATA USAHA NEGARA TERHADAP KEPUTUSAN TINDAK LANJUT PUTUSAN DEWAN KEHORMATAN PENYELENGGARA PEMILIHAN UMUM
Authors: Ramadhan Muhammad Nur
Published: November 2022

Dewan Kehormatan Penyelenggara Pemilu (DKPP) memiliki tugas untuk menegakan kode etik penyelenggara Pemilu. Salah satu instrumen hukum yang dimiliki DKPP untuk menegakan kode etik penyelenggara Pemilu adalah dengan sebuah putusan yang dapat memberikan sanksi dan juga merehabilitasi penyelenggara Pemilu dari dugaan pelanggaran kode etik. Sifat putusan DKPP yang final dan mengikat dalam UU 7/2017 kemudian menimbulkan sebuah pertanyaan, apakah bisa tindak lanjut Putusan DKPP digugat ke peradilan tata usaha negara. Perkembangan pemahaman mengenai hal tersebut terus berkembang, hingga munculnya Putusan MK 32/PUU-XIX/2021 yang memunculkan babak baru kedudukan tindak lanjut Putusan DKPP sebagai objek gugatan tata usaha negara. Penelitian hukum ini dilakukan dengan pendekatan kualitatif, dengan menggunakan sumber hukum primer berupa peraturan perundang-undangan dan bentuk kebijakan lainnya, serta sumber hukum sekunder berupa literatur dan informasi lain yang valid dan relevan. Penelitian ini diharapkan dapat mengurai dan menjelaskan mengenai eksistensi gugatan tata usaha negara terhadap tindak lanjut Putusan DKPP terlebih sebagai penguatan akan hadirnya Putusan MK 32/PUU-XIX/2021.
"Teaching Strategies with Necessary Adaptation for the Children with Hearing Impairment"
Authors: Kumar Ajeet , Tripathi Dr. Deepak Kumar
Published: November 2022

The current generations of learners, most of whom are digital natives, regularly consume engaging content via the internet, TV and handheld electronic devices. This norm changes the way children interact with content and understand information. To reach today's learners, educators must adapt their teaching practices and methods to include a variety of strategies that actively engage and genuinely reach learners in meaningful ways. The classroom is a dynamic environment, bringing together students from different backgrounds with various abilities and personalities. Being an effective teacher, therefore, requires the implementation of creative and innovative teaching strategies in order to meet students' individual needs Here are many types of the teaching strategies our educators as well as hearing impairment children use at different points of time to facilitate active participation and guide your children in their learning journeys. Teachers may use one or more of these methods as they choose the strategies that work best for their students, classrooms, curricula and objectives.
Intellectual Capital Accounting and Financial Performance of Listed Manufacturing Firms in Nigeria
Authors: Obalakumo Mr. , Pereowei Anderson , Odogu Mr. , Isaac Laime
Published: November 2022

The study examines the relationship between intellectual capital accounting and financial performance of listed manufacturing firms in Nigeria. The study analyzed intellectual capital accounting in the dimension of human capital efficiency, while financial performance was analyzed with return on capital employed and earnings per share. Ex-post facto research design was adopted for the study. The population of this study was listed manufacturing firms in Nigeria Stock Exchange from 2014 to 2018. The Pearson Product Moment Correlation Coefficient and multivariate regression were used for data analysis and the study concluded that Human capital efficiency significantly relates with return on capital employed and earning per shares of listed manufacturing firms in Nigeria. It was recommended that Nigerian manufacturing firms must develop strategies toadequately invest in different intellectual capital components.
"Linear Regression Modelling of Actual and Designed Angles of a Four Bar Linkage using MATLAB"
Authors: Obaseki Engr. Dr. Efosa , Okechukwu Agulanna Victor , Tennison. I Ewurum
Published: November 2022

The study, linear regression modeling of actual and designed angles of a four bar linkage through MATLAB approach was successfully carried out. The researchers considered actual and designed angles data gotten through Simulink modeling and simulation in the MATLAB command window. The linear regression modeling was achieved using designed angles of +30, +30, -23 and 0 degrees with the corresponding actual position angles of -92.4196, -223.375, 0, +101.66 degrees. The correlation coefficient of -0.7022 and p-value coefficient of 0.2978 from data analysis indicated that there is negative and significant relationship between actual angle and designed positions angles; however, the linear graph showed some region of positive relationship. MATLAB analysis also computed the linear regression model between actual and designed positions angles. The root mean squared error was observed to be 121 with standard error of 65. 234. The P-value 0.2978 and degrees of freedom 2 of the linear regression model generated are consistent with the P-value and degrees of freedom of ANOVA model, that proves correctness of the model. The researchers made the following recommendations: To avoid failure of machines and mechanisms and to minimize operational noise, actual position angles of links must be computed before linkage configuration is carried out, this research can also be done in future using other advanced software for generalization.
"Internal Control Practices and Financial Performance of Bayelsa State Broadcasting Corporation of Nigeria "
Authors: Dan Odoko , Isaac Odogu Laime
Published: November 2022

The study attempts to establish a link between internal control practices and financial performance inBayelsa State Broadcasting Corporation of Nigeria using both primary and secondary data obtained from the organization through questionnaire and monthly reports of the entity. The objectives, research questions and hypothesis were established in this line to link internal audit and safeguarding of assets with gross surplus margin and net surplus margin. The empirical analysis shows that there is an insignificant relationship between internal control and the performance of parastatals in Nigeria; internal auditing has a positive and insignificant relationship with gross surplus margin; safeguarding of assets has a negative and insignificant relationship with gross surplus margin of government owned companies. It is evident from the findings of the study that internal control plays a minute role in enhancing the performance of government owned companies in Nigeria. It can therefore be deducted that government owned companies are not managed efficiently; downplay authorization, circumvent laid down processes and by-pass procedures. the following recommendations are made: Only competent technocrats should be engaged to head audit units of government owned companies. Experience should be accorded in the appointment of leaders of parastatals.
ОБ ОДНОМ СПОСОБЕ ПОВЫШЕНИЯ СЕЙСМОСТОЙКОСТИ ПОРТОВЫХ ПРИЧАЛОВ
Authors: Нестерова О.П. , Уздин А.М. , Ухова Н.Ю. , Фролова Е.Д. , Фрезе М.В. , Гуань Ю.
Published: November 2022

Рассматривается оригинальный прием сейсмозащиты морских платформ эстакадного типа. Для этого используется масса склади- руемых на платформе грузов. Этот пригруз может достигать 40 % от массы платформы и вызывать дополнительные сейсмические усилия в сваях сооружения. Предлагается укладка пригруза на упругие элементы и их настройка на режим работы пригруза в каче- стве динамического гасителя платформы. Показано, что при гармоническом воздействии можно снизить смещения платформы более, чем в 3 раза. При расчете по акселерограммам землетрясений расчетная сейсмическая нагрузка снижается в 1,5 раза. Пред- лагаемое простое решение приводит к тому, что при наличии пригруза сейсмическая нагрузка на платформу оказывается меньше, чем при его отсутствии. Статья публикуется по результатам проведения научно-исследовательской работы, проводимой в рамках конкурса грантов на вы- полнение научно-исследовательских работ научно-педагогическими работниками СПбГАСУ (ФГБОУ ВО «Санкт-Петербургский госу- дарственный архитектурно-строительный университет») в 2022 г.
ОЦЕНКА ЭКОНОМИЧЕСКОЙ ЭФФЕКТИВНОСТИ СЕЙСМОИЗОЛИРОВАННЫХ ЗДАНИЙ СО СКОЛЬЗЯЩИМ ПОЯСОМ
Authors: Иванова Ж.В. , Уздин А.М. , Филимонов Д.С.
Published: November 2022

Обоснована экономическая эффективность зданий с сейсмоизолирующим скользящим поясом на примере 5‑этажного панельного жилого здания, сооружаемого в условиях вечной мерзлоты по принципу I (фундамент здания выполняется в виде высокого свайного ростверка с проветриваемым подпольем) в районе с ситуационной сейсмичностью 9, 9, 10. Оценка эффективности выполнена с ис- пользованием теории риска, разработанного в СССР под руководством академика Л. В. Канторовича. Дополнительно выполнен учет социального риска с включением в величину ущерба страховки, обусловленной социальным ущербом и сопоставлен анализ показаний с учетом социального риска и без него. Показано, что оптимальным для принятых технических решений будет усилением здания до 8 баллов. Оценен экономический эффект.
УСИЛЕНИЕ МОСТОВЫХ ОПОР НА ДОРОГЕ ТАЛДЫКОРГАН – КОЛБАТАУ – УСТЬ-КАМЕНОГОРСК
Authors: Кравченко А.А. , Смирнов А.Г.
Published: November 2022

На основании технического обследования мостовы
ПРЕДЛОЖЕНИЯ ПО КОМПЛЕКСНОЙ ПЕРЕРАБОТКЕ МИНЕРАЛЬНЫХ ОТХОДОВ МЕТАЛЛУРГИЧЕСКИХ ПРЕДПРИЯТИЙ
Authors: Столбоушкин А.Ю. , Спиридонова И.В.
Published: November 2022

Показана необходимость рационального использования природных ресурсов на современном этапе за счет использования крупнотоннажных техногенных отходов в качестве сырья для производства строительных материалов. Обозначены проблемы эффективной утилизации отходов металлургических предприятий в строительной сфере, связанные, прежде всего, с непостоянством их химического, гранулометрического и минералогического составов. На примере промышленного региона разработана схема комплексной переработки отходов теплоэнергетических объектов металлургических предприятий. В зависимости от разновидности золошлаковых отходов текущего выхода сгруппированы основные направления по их применению в различных сферах производственно-хозяйственной деятельности. Представлена схема комплексной переработки металлургических шлаков. Выделены три основных направления по переработке алюмосиликатных отходов металлургии: использование шлаковых расплавов для каменного литья, быстрое (жидкостное) или медленное (естественное) охлаждение шлаков для получения различных строительных материалов и изделий.
A Narrative Inquiry into Educational Decision-Making in Thai-Japanese Families in Thailand
Authors: Watanabe Yukinori , Rupavijetra Phetcharee , Chompikul Jiraporn , Rupavijetra Ploypailin
Published: November 2022

In the past decades, marriage migrants in Asia, including Thai-Japanese couples, have increased. Previous literature predominantly focused on issues related to adaptation and integration for foreign wives into the host society underlining the hypergamous (marrying a spouse of a higher status) nature of their marriage, which renders the majority of husbands and non-hypergamous marriages understudied. Therefore, the current study focuses on a population that includes husbands and wives, Japanese migrants, and Thai spouses. This study is exploratory and employed a qualitative approach with snowball sampling, which resulted in the inclusion of five Thai nationals and three of their Japanese spouses raising children in Thailand as participants. The study aims to examine their educational decision-making, including the language used in each family and school choice, since the parenting process is a succession of adjustments in response to the conditions of society, where values are explicitly manifested. Data were collected through face-to-face or online interviews, and content analysis was used to clarify themes. Analysis revealed factors that relate educational decisions to preconditions, such as the place of the first encounter, socioeconomic status, and location of their home. Another prominent issue is the strong belief in the English language. All participants claim that their decisions were made unanimously, while their characteristics, high levels of education and overseas experience, the preference of Japanese spouses to live in Thailand, and their lack of knowledge about educational options in Thai society contribute to the rational recount of their decision-making process.
Pursuing Big Issues in Covid-World Accounting Research
Authors: D. Parker Lee , Troshani Indrit
Published: November 2022

Reflecting on the third year of the global Covid-19 pandemic, this paper addresses critical issues in the accounting research agenda. Departing from the current vogue for structured and systematic literature reviews, it specifically targets a number of major accountability issues whose importance will be reinforced by the institutional, economic, political and social environment. Informed by a renewed call to address the accounting research-practice gap, the paper examines the increasing importance of public sector services and accountability, social and environmental accountability, digital transformation in accounting and reporting, and the accountability implications of transitioning to the hybrid office. Accordingly, this paper presents the case for accounting researchers turning their attention to the big issues that concern governments, communities and institutions rather than retreating into preoccupations with self-referential technical, conceptual and archival studies often characteristic of today’s accounting research literature.
Impact of Circular Saw Blade Design on Forces During Cross-Cutting of Wood
Authors: Kopecký Zdeněk , Novák Vít , Hlásková Luďka , Rak Jakub
Published: November 2022

This paper evaluates the impact of the number of saw blade teeth on kinematic and dynamic parameters during cross-cutting of soft and hard woods with mitre saw BOSCH GCM 12 GLD Professional. The forces measured using a three-dimensional XYZ dynamometer Kistler 9257B and subsequent calculation based on a mathematical model were applied in the Ernst-Merchant diagram and the forces acting in the cutting of spruce and oak planks were analysed and compared. The wood cutting was performed by four geometrically and structurally similar blades with a 300 mm diameter and with different count of WZ-shaped teeth (z = 26, 36, 48, 60). The optimum saw blade for the given cutting conditions was subsequently assessed by statistical analysis. Unlike many studies researching the cutting resistances in transversal and longitudinal wood cutting, this experiment and force analysis was performed in dependence on the constant feed force.
WOT BASED CONTAMINATION MONITORING SYSTEM
Authors: Sivudu M. , Murali Krishna N. , Nagarjuna G.
Published: November 2022

Modernization and industrial development are disrupting the contamination 's equilibrium by releasing untreated harmful toxic elements into the atmosphere, resulting in contamination of basic ecosystem elements such as water, air, and soil, which are necessary for humans to survive. The four major types of contamination caused by industries are air contamination, water contamination, and noise contamination. This causes infections to spread through the air and water, affecting both humans and animals. As a result, controlling these pollutant characteristics is a major undertaking. The major goal of this project is to design an efficient and cost-effective industrial air, water, and sound contamination monitoring system, and the main objective of this paper is to provide an WoT-based industrial air, water, and sound contamination monitoring system. comprehensive mechanism to track the variables that are causing the problem of contamination. This project's/working system's technique is to read and track pollutant indicators, as well as to inform when any of these substances are released, contamination control authorities are notified. Contamination levels are above industrial requirements. The system looks into PH levels in industrial effluents, CO levels, and other factors.CO2, combustible gases, air humidity, and temperature During the manufacturing process, minute optical dust particles are released. as well as the sound level produced by the industry, employing PH sensor, MQ6, MQ9, temperature sensor, and other sensors Humidity, and noise sensors are all included. This system is based on the Internet of Things (WoT), which is a rapidly growing technology that combines electronics and computer science. The Internet of Things (WoT) concept allows us to obtain data from faraway locations and preserve it in a database without having to physically be present in that region.
DESIGN AND ANALYSIS OF COMPOSITE PROPELLER BLADE FOR AIRCRAFT
Authors: Sivaprasad V. , Pradhan Raghuram , Srinivas Rao K.
Published: November 2022

The work in this paper primarily focuses on the modelling and analysis of a plane's propeller blade for strength. The geometry of a propeller blade is a sophisticated 3D model. CATIA V5 R20 is utilised to generate the blade model, which necessitates the usage of high-end modelling CAD software. This document provides a brief overview of Fiber Reinforced Plastic materials as well as the benefits of employing composite propellers over traditional metallic propeller blades. The purpose of this research is to use finite element analysis to analyse the metal and composite strength of the propeller blade. We conducted static and modal analysis for isotropic materials using ANSYS software, as well as linear layer analysis for orthotropic materials. FEA methods were used to investigate two distinct types of propellers, namely aluminium, E-glass, and carbon fibre.
A COMPACT 4 PORT MIMO DIVERSIFIED ANTENNA FOR X-BAND APPLICATIONS
Authors: Rajasekhar M. , Rao S.CH. Kantha , Ganesh B. S.
Published: November 2022

Antennas Currently there is large scope in wireless applications due to increased scalability and mobility. Users need these technologies to improve data accessing information from anywhere along with high data speed giving rise to 5G technology. Today’s recent growth increased by huge capacity, data rate and high throughput with single antenna system fulfilling the given requirement more likely to do multipath fading and had low data rate. The drawbacks can be overcome by the MIMO antenna in the wireless communication system.In this paper we designed a rectangular patch antenna with semicircle defective ground substrate which improves the efficiency and reduce interference. These might have wide range of applications in WLAN and WiMAX. This has an advantage of less interference using MIMO antenna. The proposed antenna will be working at frequency of 4-6GHZ (c-band) and frequency (x-band) applications mainly satellite and WiMAX applications.
ECOLOGICAL AND FISCAL ELUCIDATION IN SOLID SCRAP MANAGEMENT COMPUTING USING WOT
Authors: Rao Dr. A. Seshagiri , Nagarjuna V. , Sivudu M.
Published: November 2022

Squander electric and electronic hardware or e-squander age has been recognized as a critical angle in strong scrap administration; however e-garbage removal in landfills isn't recommended because of the harmful synthetic compounds and substantial metals in it. A shrewd family e-squander assortment box was planned, fitted with e-squander level estimation sensors to record the removal information. A backend worker was created which consequently advises and plans e-squander authorities to dispatch and gather the e-squander when the volume of the assortment box arrives at a specific edge (for example box is 80% filled. In this paper WOT empowered trash assortment framework has been proposed. This paper presents a method to distinguish the constant degree of trash in the dustbins. The level is detected with the assistance of IR sensors using WOT. This strategy changes over the dustbins into a brilliant dustbin which can be associated with the end green figuring accentuations and making more recyclable items. Electronic scrap is probably the most concerning issue that our reality is confronting today. The always developing interest and utilization of electronic devices in this crown period add to this E-Scrap undeniably. The entirety of this can be forestalled by proficiently overseeing E-Scrap . Many created nations are discarding their E-Scrap in non-industrial nations like India and China. These non-industrial nations have an immense populace influenced by this E-squander as there is no coordinated framework for overseeing it. To shorten these issues, in this work, the impact of WoT (Web of Things) is utilized to store and gather E-squander effectively. The fundamental target is to bring the investors (individuals who dispose of E-scrap ) and authorities (individuals who gather and reuse E-squander) into a solitary stage and further develop the proposed E-Scrap administration productivity Computing.
FLUID FLOW ANALYSIS OF CONCENTRIC HEAT EXCHANGER WITH DIFFERENT NANO FLUIDS AND MASS FLOW RATES
Authors: Kondaiah G. , Babu G. E. , Venkateswarlu K.
Published: November 2022

In this article, the overall performance of water and other nano fluids mixed with base fluid water in a twin pipe warmth exchanger is investigated. At quantity fractions of 0.35 percentage, the nano fluids are Silicon Oxide and silver nano fluid. The traits of nano fluids are decided the usage of theoretical calculations, which can be then utilised as inputs for analysis. CATIA parametric software program is used to create a 3D model of the dual pipe heat exchanger (plain and coil insert tube). CFD research of a dual pipe warmth exchanger with water, silicon oxide, and silver nano particle at diverse mass float fees of zero.32, zero. Fifty two, 0.72,zero.Ninety two, and 1.12 kg/sec is performed. Theoretical calculations on the twin pipe warmness exchanger had been additionally finished.
CUSTOMER STRESS PREDICTION IN TELECOM INDUSTRIES USING MACHINE LEARNING
Authors: Sriharsha V. , Giri Babu S.
Published: November 2022

In the competitive world especially in enterprises market maintaining valuable customers is becoming a difficult task. In one situation losing a customer is like decrease in profits for telecom industry growth, in another situation the cost of acquiring new customers is much higher than the cost of retaining the existing customers, for this critical situation the telecom industries should focus on retaining existing customers. This project will analyze the customer data which was collected as open dataset and predict the customer stress by applying supervised machine learning algorithms mainly using Linear Discriminant Analysis, Support Vector Machine, K Nearest Neighbor and Random Forest.
Solving the Task Assignment Problem with a Variable Neighborhood Search
Authors: Kratica Jozef , Savić Aleksandar , Filipović Vladimir , Milanović Marija
Published: November 2022

In this paper a variable neighborhood search (VNS) approach for the task assignment problem (TAP) is considered. An appropriate neighborhood scheme along with a shaking operator and local search procedure are constructed specifically for this problem. The computational results are presented for the instances from the literature, and compared to optimal solutions obtained by the CPLEX solver and heuristic solutions generated by the genetic algorithm. It can be seen that the proposed VNS approach reaches all optimal solutions in a quite short amount of computational time.
Using Inside-Outside Algorithm for Estimation of the Offspring Distribution in Multitype Branching Processes
Authors: Daskalova Nina
Published: November 2022

Multitype branching processes (MTBP) model branching structures, where the nodes of the resulting tree are particles of different types. Usually such a process is not observable in the sense of the whole tree, but only as the “generation” at a given moment in time, which consists of the number of particles of every type. This requires an EM-type algorithm to obtain a maximum likelihood (ML) estimate of the parameters of the branching process. Using a version of the inside-outside algorithm for stochastic context-free grammars (SCFG), such an estimate could be obtained for the offspring distribution of the process.
The Divisibility Modulo 4 of Kloosterman Sums over Finite Fields of Characteristic 3
Authors: Sin Changhyon
Published: November 2022

Recently Garashuk and Lisonek evaluated Kloosterman sums K (a) modulo 4 over a finite field F3m in the case of even K (a). They posed it as an open problem to characterize elements a in F3m for which K (a) ≡ 1 (mod4) and K (a) ≡ 3 (mod4). In this paper, we will give an answer to this problem. The result allows us to count the number of elements a in F3m belonging to each of these two classes.
The Eccentric Connectivity Polynomial of Some Graph Operations
Authors: Ashrafi Ali Reza , Ghorbani Modjtaba , Hossein-Zadeh Mohammad Ali
Published: November 2022

The eccentric connectivity index of a graph G, ξ^C, was proposed by Sharma, Goswami and Madan. It is defined as ξ^C(G) = ∑ u ∈ V(G) degG(u)εG(u), where degG(u) denotes the degree of the vertex x in G and εG(u) = Max{d(u, x) | x ∈ V (G)}. The eccentric connectivity polynomial is a polynomial version of this topological index. In this paper, exact formulas for the eccentric connectivity polynomial of Cartesian product, symmetric difference, disjunction and join of graphs are presented.
Share.TEC Portal: How the Metadata Repositories of Educational Resources Meet the Users’ Expectations
Authors: Stefanova Eliza , Stefanov Krassen , Boytchev Pavel , Nikolova Nikolina , Georgiev Atanas , Grigorov Alexander
Published: November 2022

This paper presents the process of building contemporary digital libraries with metadata for educational resources in Europe. The importance of enriching digital resources with complete, descriptive and accurate metadata is discussed as well as how these metadata are supported within the European project Share.TEC. The paper presents subsequently: the results of a workshop with teachers and teacher educators, who were asked to provide feedback about specific issues related to the metadata of digital re-sources for the teacher education community; design of a system in response to the user requirements: its architecture, main features,their implementation; and, finally, testing and validation of the Share.TEC portal, built as a result of a join effort of researchers, developers and users.
Modernizing Legacy Physics Applications for Reuse in Web and SOA
Authors: Malinova Anna
Published: November 2022

This paper concerns the application of recent information technologies for creating a software system for numerical simulations in the domain of plasma physics and in particular metal vapor lasers. The presented work is connected with performing modernization of legacy physics software for reuse on the web and inside a Service-Oriented Architecture environment. Applied and described is the creation of Java front-ends of legacy C++ and FORTRAN codes. Then the transformation of some of the scientific components into web services, as well as the creation of a web interface to the legacy application, is presented. The use of the BPEL language for managing scientific workflows is also considered.
Hough Transform Approach to Identification of Flare Stars in Multi-exposure Plate Images
Authors: Dimov Dimo , Tsvetkova Katya , Tsvetkov Milcho , Kolev Alexander , Kounchev Ognyan
Published: November 2022

The paper discusses the progress in the automation of the detection of flare stars through astronomical observations with plates obtained by the multi-exposure “chain” method. In spite of the fact that the astronomical plate observations are considered obsolete in modern astronomy, the computer processing of these images is an actual problem, due to the considerable number of wide-field plates in our country, in Europe and throughout the world. The solution of the problem is implemented in a sequence of three stages: (i) detection of the form of the chains, (ii) location of the chains in the input plate image and (iii) detection of chains representing “flare stars”. The paper is focused on the second stage, the implementation of which requires the use of Hough transform (HT). A theoretical and experimental analysis of the suggested approach connected with HT is presented. The “bottlenecks” in the development are discussed on the basis of a comparative analysis with a competitive approach - the “cumulative” statistic approach to chains in the given image. At the end, a combined approach is offered, uniting the various advantages, but again based on HT. Some experimental results and illustrations are presented. The perspectives for future work, connected with an implementation of a whole software system designed to solve the problem, are described.
A Digital Library of Folklore Songs and Keyword-Based Search Engine
Authors: Kirov Kiril , Kirov Nikolay
Published: November 2022

We present a full text search engine in a digital library of Bulgarian folklore songs - in the lyrics and scores of the songs. The deployment of the digital library on the cloud as well as the technical requirements for providing our data to Europeana are discussed.
Photographic Plate Libraries at European Astronomical Observatories
Authors: Tsvetkova Katya , Tsvetkov Milcho , Kounchev Ognyan
Published: November 2022

This paper presents the efforts to organize photographic plate libraries at European astronomical observatories and institutions. The Wide-Field Plate Database project, launched in 1991, has been collecting data about the plates, including plate archives, plate index catalogue data extracted from the logbooks, and digitized plate images. Developing further the WFPDB project, we intend to complete the high-resolution digitization of the plates (in standardized FITS file format) and a suitable digitalization of the catalogues and logbooks (in JPEG and TIFF), with flatbed scanners, and also to organize links to the relevant scientific research papers. At present about 250000 plates have been digitized and await implementation of online access. The main idea is to build an Astro-Multimedia Library, based on the latest methods of Computer Science, in particular on Multiresolution Analysis techniques, which allow for efficient representation of image scans at different resolutions.
Adaptive E-learning Content Design and Delivery Based on Learning Styles and Knowledge Level
Authors: Vassileva Dessislava
Published: November 2022

The possibility of adaptive learning content delivery in e-learning systems is one of the important factors for highly improving their quality. Therefore, the application field of adaptive e-learning is relevant and significant. This article presents the main results of a PhD thesis examining various aspects of this area. The aim of the dissertation is to propose a model and a platform architecture of an adaptive e-learning system and a corresponding prototype to be designed, implemented and tested in experimental conditions. On one hand, the developed prototype will assist a learner in accessing and using learning resources which are adapted according to his/her personal characteristics (in this case his/her learning style and level of knowledge). On the other hand, it will facilitate the author of the learning content and course instructor in the creation of appropriate learning objects and applying them to the suitable pedagogical strategies.
Potsdam Library of Astronomical Photographic Plates
Authors: Tsvetkova Katya , Tsvetkov Milcho , Kirov Nikolay , Boehm Petra , Steinmetz Matthias , Arlt Rainer , Enke Harry , Von Berlepsch Regina
Published: November 2022

We present the Potsdam photographic plate library at the Leibniz Institute for Astrophysics Potsdam. It includes plate archives, data from plate index catalogues and extracts from astronomical logbooks, as well as digitized plate images and interfaces for accessing all the available information. The plate index catalogues and the digitized images of the Potsdam astronomical photographic plates are prepared according to the standards of the Wide-Field Plate Database and German Astrophysical Virtual Observatory. The high-resolution digitization of the plates (in standardized FITS file format), the low-resolution plate previews (in TIFF and JPEG file format), as well as suitable digitization of the catalogues, logbooks, and relevant scientific research papers (in JPEG and TIFF) are made using commercial flatbed scanners.
An Overview of Modelling Bulgarian Wildland Fire Behaviour by Application of a Mathematical Game Method and WRF-Fire Models
Authors: Dobrinkova Nina
Published: November 2022

This paper presents the main achievements of the author’s PhD dissertation. The work is dedicated to mathematical and semi-empirical approaches applied to the case of Bulgarian wildland fires. After the introductory explanations, short information from every chapter is extracted to cover the main parts of the obtained results. The methods used are described in brief and main outcomes are listed. ACM Computing Classification System (1998): D.1.3, D.2.0, K.5.1.
Approximate Model Checking of Real-Time Systems for Linear Duration Invariants
Authors: Choe Changil , O Hyong-Chol , Han Song
Published: November 2022

Real-time systems are usually modelled with timed automata and real-time requirements relating to the state durations of the system are often specifiable using Linear Duration Invariants, which is a decidable subclass of Duration Calculus formulas. Various algorithms have been developed to check timed automata or real-time automata for linear duration invariants, but each needs complicated preprocessing and exponential calculation. To the best of our knowledge, these algorithms have not been implemented. In this paper, we present an approximate model checking technique based on a genetic algorithm to check real-time automata for linear durration invariants in reasonable times. Genetic algorithm is a good optimization method when a problem needs massive computation and it works particularly well in our case because the fitness function which is derived from the linear duration invariant is linear. ACM Computing Classification System (1998): D.2.4, C.3.
Programming and Testing a Two-Tree Algorithm
Authors: Vassilev Tzvetalin , Ammerlaan Joanna
Published: November 2022

Recently, Markov, Vassilev and Manev [2] proposed an algorithm for finding the longest path in 2-trees. In this paper, we describe an implementation of the algorithm. We briefly discuss the algorithm and present example that helps the reader grasp the main algorithmic ideas. Further, we discuss the important stages in the implementation of the algorithm and justify the decisions taken. Then, we present experimental results and discuss them in the light of the dependence on the platform and machine architecture. We present timing analysis of the implementation, as well as results on the average length of the longest path.ACM Computing Classification System (1998): G.2.2, F.2.2.
Versioning of Granulated Data in Hierarchically Composed Workspaces
Authors: Jotov Vladimir
Published: November 2022

For the last 30 years there has been a lot of research of versioned software products, but challenges remain nevertheless. This article focuses on a model of versioned objects and hierarchically composed workspaces. The presented model of versioned object aims to solve the issue of granulation of versioned data. The model of hierarchically composed workspaces provides methods and rules for versioning, which complete the first model.ACM Computing Classification System (1998): F.4.1.
Symbolic Solving of Partial Differential Equation Systems and Compatibility Conditions
Authors: Malaschonok Natasha
Published: November 2022

An algorithm is produced for the symbolic solving of systems of partial differential equations by means of multivariate Laplace–Carson transform. A system of K equations with M as the greatest order of partial derivatives and right-hand parts of a special type is considered. Initial conditions are input. As a result of a Laplace–Carson transform of the system according to initial condition we obtain an algebraic system of equations. A method to obtain compatibility conditions is discussed.ACM Computing Classification System (1998): G.1.8, G.4.
Test, Teachers, Quorum (Pure Populations)
Authors: Radev Slavian
Published: November 2022

The “trial and error” method is fundamental for Master Minddecision algorithms. On the basis of Master Mind games and strategies weconsider some data mining methods for tests using students as teachers.Voting, twins, opposite, simulate and observer methods are investigated.For a pure data base these combinatorial algorithms are faster then manyAI and Master Mind methods. The complexities of these algorithms arecompared with basic combinatorial methods in AI.ACM Computing Classification System (1998): F.3.2, G.2.1, H.2.1, H.2.8, I.2.6.
Generalized Discernibility Function Based Attribute Reduction in Incomplete Decision Systems
Authors: Dinh Vu Van , Giang Nguyen Long , Thi Vu Duc
Published: November 2022

A rough set approach for attribute reduction is an importantresearch subject in data mining and machine learning. However, most attribute reduction methods are performed on a complete decision systemtable. In this paper, we propose methods for attribute reduction in staticincomplete decision systems and dynamic incomplete decision systems withdynamically-increasing and decreasing conditional attributes. Our methodsuse generalized discernibility matrix and function in tolerance-based rough sets.
A Comparative Analysis of Predictive Learning Algorithms on High-Dimensional Microarray Cancer Data
Authors: Bill Jo , Fokoué Ernest
Published: November 2022

This research evaluates pattern recognition techniques on a subclass of big datawhere the dimensionality of the input space (p) is much larger than the number of observations (n). Specifically, we evaluate massive gene expression microarray cancer datawhere the ratio κ is less than one. We explore the statistical and computational challenges inherent in these high dimensional low sample size (HDLSS) problems and presentstatistical machine learning methods used to tackle and circumvent these difficulties. Regularization and kernel algorithms were explored in this research using seven datasets where κ < 1. These techniques require special attention to tuning necessitating several extensions of cross-validation to be investigated to support better predictive performance. While no single algorithm was universally the best predictor, the regularizationtechnique produced lower test errors in five of the seven datasets studied.
Classification of Paintings by Artist, Movement, and Indoor Setting Using MPEG-7 Descriptor Features
Authors: Welch Charles
Published: November 2022

Image classification is an essential problem for content based image retrieval and image processing. Visual properties can be extracted from images in the form of MPEG-7 descriptors. Statistical methods can use these properties as features and be used to derive an effective method of classifying images by evaluating a minimal number of properties used in the MPEG-7 descriptor. Classification by artist, artistic movement, and indoor/outdoor setting is examined using J48, J48 graft, best first, functional, and least absolute deviation tree algorithms. An improved accuracy of 11% in classification of artist and 17% in classification of artistic movement over previous work is achieved using functional trees. In addition classification by indoor/outdoor setting shows that the method can be applied to new categories. We present an analysis of generated decision trees that shows edge histogram information is most prominent in classification of artists and artistic movements, while scalable color information is most useful for classification of indoor/outdoor setting.
Five Turning Points in the Historical Progress of Statistics - My Personal Vision
Authors: Von Collani Elart
Published: November 2022

Statistics has penetrated almost all branches of science and allareas of human endeavor. At the same time, statistics is not only misunderstood, misused and abused to a frightening extent, but it is also oftenmuch disliked by students in colleges and universities. This lecture discusses/covers/addresses the historical development of statistics, aiming at identifying the most important turning points that led to the present stateof statistics and at answering the questions “What went wrong with statistics?” and “What to do next?”.ACM Computing Classification System (1998): A.0, A.m, G.3, K.3.2.
Dependence Structure of some Bivariate Distributions
Authors: Dimitrov Boyan
Published: November 2022

Dependence in the world of uncertainty is a complex concept.However, it exists, is asymmetric, has magnitude and direction, and can bemeasured. We use some measures of dependence between random events toillustrate how to apply it in the study of dependence between non-numericbivariate variables and numeric random variables. Graphics show what isthe inner dependence structure in the Clayton Archimedean copula and theBivariate Poisson distribution. We know this approach is valid for studyingthe local dependence structure for any pair of random variables determinedby its empirical or theoretical distribution. And it can be used also to simulate dependent events and dependent r/v/’s, but some restrictions apply.ACM Computing Classification System (1998): G.3, J.2.
On the Lp-Norm Regression Models for Estimating Value-at-Risk
Authors: Kumar Pranesh , Kashanchi Faramarz
Published: November 2022

Analysis of risk measures associated with price series datamovements and its predictions are of strategic importance in the financial markets as well as to policy makers in particular for short- and longterm planning for setting up economic growth targets. For example, oilprice risk-management focuses primarily on when and how an organization can best prevent the costly exposure to price risk. Value-at-Risk (VaR) is the commonly practised instrument to measure risk and is evaluated by analysing the negative/positive tail of the probability distributions of the returns (profit or loss). In modelling applications, least-squares estimation (LSE)-based linear regression models are often employed for modeling and analyzing correlated data. These linear models are optimal and perform relatively well under conditions such as errorsfollowing normal or approximately normal distributions, being free of large size outliers and satisfyingthe Gauss-Markov assumptions. However, often in practical situations, the LSE-based linear regressionmodels fail to provide optimal results, for instance, in non-Gaussian situations especially when the errorsfollow distributions with fat tails and error terms possess a finite variance. This is the situation in case of risk analysis which involves analyzing tail distributions.Thus, applications of the LSE-based regression models may be questioned for appropriateness and may have limited applicability. We have carried out the risk analysis of Iranian crude oil price databased on the Lp-norm regression models and have noted that the LSE-based models do not alwaysperform the best. We discuss results from the L1, L2 and L∞-norm based linear regression models.ACM Computing Classification System (1998): B.1.2, F.1.3, F.2.3, G.3, J.2.
Seeking Relationships in Big Data: A Bayesian Perspective
Authors: Singpurwalla Nozer
Published: November 2022

The real purpose of collecting big data is to identify causalityin the hope that this will facilitate credible predictivity . But the searchfor causality can trap one into infinite regress, and thus one takes refuge inseeking associations between variables in data sets. Regrettably, the mereknowledge of associations does not enable predictivity. Associations need tobe embedded within the framework of probability calculus to make coherentpredictions. This is so because associations are a feature of probabilitymodels, and hence they do not exist outside the framework of a model.Measures of association, like correlation, regression, and mutual informationmerely refute a preconceived model. Estimated measures of associations donot lead to a probability model; a model is the product of pure thought. Thispaper discusses these and other fundamentals that are germane to seekingassociations in particular, and machine learning in general.
Entre liturgia y materialidad: Estudio de un códice iluminado del monasterio de Alcobaça (ALC. 252)
Authors: Fernandes Barreira Catarina , Casanova Conceição , Veiga João
Published: November 2022

En este artículo se presenta el estudio de un misal iluminado procedente del monasterio de Alcobaça (BNP, Alc. 252). El análisis del contenido litúrgico y de la materialidad del códice, incluyendo aquí la iluminación y la encuadernación, así como el estudio comparativo con otros manuscritos procedentes del mismo monasterio, permitirán confirmar su origen en el scriptorium alcobacense, precisar su datación, integrarlo en su contexto de producción y de uso(s), y tener en cuenta la evolución de las circunstancias litúrgico-materiales del mismo.
Las bodas Jaime II y María de Chipre (1315)
Authors: Vázquez Márquez Abel
Published: November 2022

Durante todo el siglo XIV, los monarcas aragoneses se rodearon de plateros, mercaderes y hábiles artesanos para abastecer sus cortes con obras de arte suntuoso, que exhibieran el refinamiento y la riqueza adecuadas a una dinastía nobiliaria medieval. Jaime II (1267-1327) fue un rey especialmente consciente del rol de las artes en la representación del poder real, y durante su reinado intensificó los encargos de objetos de orfebrería, tejidos lujosos y reformas arquitectónicas. El presente artículo analiza la boda de Jaime con su segunda esposa, María de Chipre, celebradas a Gerona en 1315. Esta ceremonia espoleó las entradas y salidas de objetos preciosos del tesoro real: ricos tejidos para engalanar a la familia real, objetos de orfebrería obsequiados al séquito chipriota de la nueva reina, una corona de oro, una imagen de plata de la Virgen María para favorecer la descendencia de la pareja... El estudio de la documentación relativa a la boda ilustra cómo estos acontecimientos cortesanos estimularon la circulación de obras de arte, que fueron puestas al servicio de las autoridades medievales para expresar su magnificencia y asentar su poder, en los inicios del arte gótico en Cataluña.