bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automatic Feature Selection and Ensemble Classifier for Intrusion Detection
Authors: Lin Changjian , Li Aiping , Jiang Rong 
Published: April 2021

Abstract
Anomaly-based Intrusion Detection System (ADS) is one of the technologies widely used in network topology. Although many supervised and unsupervised learning methods in the field of machine learning have been used to improve the efficiency of ADS, achieving good performance is still a challenging problem for existing intrusion detection algorithms. Firstly, there are few public datasets available for evaluation. Secondly, a single classifier may not perform well in detecting each type of attack. Third, some of the existing schemes focus on feature subset selection, while ignoring the design of the classification decision algorithm, or focus on the classification decision algorithm. In order to address this issue, a new intrusion detection framework is proposed by comparing and studying various feature selection technologies and classification decision algorithms in this paper. An automatic parameter adjustment scheme is designed for feature selection and ensemble classification. It avoids the need to obtain the optimal parameters through manual experiments in advance, and can improve the robustness of the parameters and the model. We use the most classic NSL-KDD dataset and the latest CICIDS2018 dataset for comparative experiments. The experimental results demonstrate its efficiency in terms of Accuracy and False Positive Rate.
A Study of Cyber Attack Behavior based on Algebraic Topology
Authors: Zhang Xiaoyu , Yan Huaizhi , Liu Zhen 
Published: April 2021

Abstract
It is inevitable that serious damage will occur once the hosts suffer from cyberattack. Therefore, the study of cyberattacks has become indispensable in the field of cyber security. Host-oriented cyberattacks consist of a series of atomic attacks attacking system objects and metrics on atomic attacks can quantitatively describe the behavior of cyber attacks. When the atomic attack behavior constitutes a manifold topological space, host-oriented assessment of the effects of a cyberattack can be computed using an algebraic topology. The concepts of manifold and other spaces in algebraic topology can be used to model and analyze the system composed of many elements. Therefore, by handling the relationships between metrics appropriately (e.g., complex mappings), the topological space of attack scenarios is constructed. This paper uses a cellular manifold to show the geometric structure of cyberattack behaviors. In this solution, we select the metrics depicting the cyber attack behavior and clear their dependence through the construction of cyberattack behavior sequence graph, and then put forward the cyberattack behavior model based on the relationship between metrics. WannaCry ransomware attack is analyzed by applying our model, which provides a new idea for quantifying cyberattack.
A pseudorandom bit generator based on arctangent function
Authors: Wu Qi 
Published: April 2021

Abstract
In this paper, in addition to translation & scale (already adopted before), we employ another elementary transformation, i.e. fold, to acquire a variant of Arctangent Function. Both Bifurcation Diagram & Lyapunov Exponent Spectrum indicate that the new mapping owns excellent chaotic properties. Afterwards, a pseudorandom bit generator is devised based on it. Pseudorandom tests illustrate that the mapping is the 3rd best one so far. The results show great application prospect.
MBA: A Multimodal Bilinear Attention Model with Residual Connection for Abstractive Multimodal Summarization
Authors: Ye Xia , Yue Zengying , Liu Ruiheng 
Published: April 2021

Abstract
The combination of vision and natural language modalities has become an important topic in both computer vision and natural language processing research communities. Multimodal summarization has received unprecedented attention with the rapid growth of multimodal information. This paper proposes MBA which consists of pre-trained feature extractors, text encoder, image encoder, multimodal bilinear attention fusion module, and summary decoder to complete abstractive multimodal summarization task. A residual network is added to the model to enhance the textual modality information and alleviate the modality-bias problem. Experiments show that the model is better than the baseline models and performs better than text summarization methods that ignore visual modality.
In vivo vascularization and islet function in a microwell device for pancreatic islet transplantation
Authors: Smink Alexandra M , Skrzypek Katarzyna , Liefers-Visser Jolanda A L , Kuwabara Rei , de Haan Bart J , de Vos Paul , Stamatialis Dimitrios 
Published: April 2021

Abstract
Islet encapsulation in membrane-based devices could allow for transplantation of donor islet tissue in the absence of immunosuppression. To achieve long-term survival of islets, the device should allow rapid exchange of essential nutrients and be vascularized to guarantee continued support of islet function. Recently, we have proposed a membrane-based macroencapsulation device consisting of a microwell membrane for islet separation covered by a micropatterned membrane lid. The device can prevent islet aggregation and support functional islet survival in vitro. Here, based on previous modeling studies, we develop an improved device with smaller microwell dimensions, decreased spacing between the microwells and reduced membrane thickness and investigate its performance in vitro and in vivo. This improved device allows for encapsulating higher islet numbers without islet aggregation and by applying an in vivo imaging system we demonstrate very good perfusion of the device when implanted intraperitoneally in mice. Besides, when it is implanted subcutaneously in mice, islet viability is maintained and a vascular network in close proximity to the device is developed. All these important findings demonstrate the potential of this device for islet transplantation.
Enhanced harmony search algorithm for sustainable ecological operation of cascade hydropower reservoirs in river ecosystem
Authors: Niu Wen-jing , Feng Zhong-kai , Jiang Zhi-qiang , Wang Sen , Liu Shuai , Guo Wei , Song Zhen-guo 
Published: April 2021

Abstract
With the merits of superior performance and easy implementation, the harmony search (HS), a famous population-based evolutionary method, has been widely adopted to resolve global optimization problems in practice. However, the standard HS method still suffers from the defects of premature convergence and local stagnation in the complex multireservoir operation problem. Thus, this study develops an enhanced harmony search (EHS) method to improve the HS’s search ability and convergence rate, where adaptive parameter adjustment strategy is used to enhance the global search performance of the swarm, while the elite-learning evolutionary mode is used to improve the converge trajectory of the population. To verify its practicability, EHS is applied to solve numerical optimization and multireservoir operation problems. The results show that EHS can produce better results than several existing methods in different cases. For instance, the mean objective of EHS is improved by about 23.9%, 28.7% and 26.8% compared with particle swarm optimization, differential evolution and gravitational search algorithm in 1998–1999 typical runoff case. Hence, an effective optimizer is developed for sustainable ecological operation of cascade hydropower reservoirs in river ecosystem.
Economic-mathematical Models for Analyzing the Potential for Self-Development of Territorial Systems
Authors: Yakovenko I V , Streltsova E D , Komissarov V D 
Published: April 2021

Abstract
The article is devoted to the construction of tools to support decision-making for the analysis and formation of conditions for self-development of administrative-territorial entities, which contributes to the creation of a competitive environment in them. The Toolkit is based on the use of methods of economic and mathematical modeling in the selection of methods of inter-budgetary regulation in the aspect of activation of functions: stimulating and leveling. The incentive function is aimed at increasing the motivation of the authorities in building up the territorial tax potential and is implemented through the distribution of tax revenues among the budgets vertically according to established standards. The leveling function is performed through financial assistance methods. In order to support decision-making regarding the application of forms of financial policy, the article offers a mathematical model for analyzing territorial units from the point of view of identifying the potential for self-development of territories. The model is based on the application of nonlinear dynamics methods that allow us to get an idea of the qualitative picture of the trend in the dynamics of indicators of development of the territorial system. The presence of an attractor in the dynamics of indicators allows us to judge the potential ability of the territory to self-organization and determines the feasibility of using the stimulating function of inter-budgetary regulation as a prerequisite for the sustainable development of the socio-economic system at the expense of its own revenue sources.
Impact of the Ports of the Northern Sea Route on the Development of Focal Zones of the Russian Eastern Arctic
Authors: Leonov S N , Zaostrovskikh E A 
Published: April 2021

Abstract
An attempt is made in this work to identify the mechanisms of the influence of the ports of the Northern Sea Route (NSR) on increasing the efficiency of the formation of focal zones for the development of the Eastern Arctic. The propulsive potential of the transport infrastructure is considered; the importance of the NSR for the integration of the southern and Arctic regions of the Far East is indicated. The methodology of the work is based on the theory of cumulative growth, in which the ideas of the formation of "growth poles" occupy a decisive position. The work uses methods of grouping, logical and comparative analysis. The information base of the study was the data of Rosstat. It is shown that the state’s activity on the development of the NSR stimulates the development of the North Yakutsk and Chukotka support zones, enhancing the transport and raw materials specialization of the Eastern Arctic as a whole. The paper substantiates that in the Far Eastern Arctic, the traditional view of ports as the most important infrastructure assets, which are the business and economic center of territorial development, is insufficient for the recognition of transport infrastructure as a propulsion industry. Transport is a necessary but insufficient condition for the emergence and accelerated development of local "growth poles" in the Arctic. The propulsive effect of the port economy is low and is mainly of an induced nature, when capacities for product processing are created in the port territories, or when the transport infrastructure stimulates the emergence of transport-intensive extractive industries.
Human Capital Development in the Context of the Fourth Industrial Revolution
Authors: Balog M M , Demidova S E 
Published: April 2021

Abstract
In the context of the fourth industrial revolution, high-quality human capital that creates innovations is becoming the key factor in building the competitiveness of individual companies and the national economy as a whole. The digital transformation of public life has had a significant impact on human capital development. Remote communication, robotics and artificial intelligence technologies have created new opportunities in education, health care and employment. Education and health care have become more individualized and high-tech. Opportunities for remote employment and combining work in several companies have appeared. However, digitization also poses challenges and threats to human capital development. These include the need for continuous upgrading of competencies, increased levels of stress due to the increasing information and emotional load on an individual operating in the digital environment. The general job cuts and decline in the rights of employees who have switched to telecommuting also characterize digital economy. In addition, the introduction of digital tools increases the risks of discrimination against various population groups and growing social and economic inequality. Under these conditions, holders of human capital face the need to acquire new knowledge, improve their professional qualifications and comprehensive personal development throughout their lives. In order to ensure the least painful inclusion of all society members in the digital environment, the state and business must create conditions for increasing the level of digital, financial and legal competence of population.
Microbiota of Aquatic and Terrestrial Habitats of the Dzou Cave
Authors: Mazina S E , Yu Titov A , Kozlova E V , Popkova A V 
Published: April 2021

AbstractMicrobiota of the deep caves has been poorly explored. The most relevant issues of the caves biodiversity are the sources of the microorganisms’ propagules and characteristics of autochthonous microbiota. The investigation presents the assessment of microbiota biodiversity from the Dzou cave (Western Caucasus). The aim of the study was to identify the species composition of micromycetes and phototrophs of the cave and to assess the sanitary-indicative microbiota in different habitats depending on the anthropogenic load. Microscopic and cultural methods were used to identify the microbiota from the entrance zone of the cave, as well as from aquatic and terrestrial habitats of the unlit deepest parts of the cave. The analysis of the phototrophic communities composition developed in the entrance area of the cave was carried out, 22 species were identified, among which cyanobacteria prevailed. The biodiversity of micromycetes was determined: 48 species were identified in the entrance zone, 60 species – in the dark zone of the cave. Comparison of the species composition of the dark and illuminated zones of the cave showed that in addition to speciesHumicola grisea, Hemicarpenteles ornatusandAlternaria sp., all species of entrance area are found in the unlit part of the cave. Representatives of genusPenicilliumandAspergilluswere dominants. Revealed increase of the micromycetes and bacteria number was driving by increase in the level of anthropogenic load, especially in places of tourist camps. It was noted that the propagules of phototrophs are present in the cave substrates even at great depth, excluding some water samples, which may indicate the periodic drift of propagules or anthropogenic factor. The largest number of micromycetes species was detected in the clay deposits and rock samples. The least number of species was isolated from the water streams of the cave. A large number of micromycetes propagules was found in substrates near tourist camps, but their biodiversity was lower than in cave soils.
Design and Analysis of a Signal Denoising and Estimation System
Authors: Naji Hassan Saadallah , Ahmed Hanan Badeea 
Published: April 2021

Abstract
Heart disease is one of the most common causes of death worldwide and electrocardiogram (ECG) signals are among the best tools currently available for diagonising heart disease by offering accurate data about heart performance and the circulatory system. Unfortunately, the linear-quadratic problem often arises, which is a serious problem affecting the estimation of any linear dynamic system’s immediate state due to disruption with white noise due to the linear employment of information about state and white noise corruption. This can theoritecally be addressed by using a Kalman filter as a recursive estimator. However, all biomedical applications that generate electrical signals are disposed to creating different types of noise with fixed coefficients filters, due to the random nature of these signals, and these can cause inaccuracies over time. In this paper, a double Kalman filter is suggested for ECG signal denoising and estimation. Additive White Noise added to the original ECG signal to form a noisy signal, and Kalman filter was used initially to improve the quality of the ECG signal and to offer high performance convergence while increasing the SNR. The second step involved employing Kalman filter to estimate the new denoised ECG signal during a given time period, as accuracy in time is very important in medical applications. The results were satisfactory, offering highly recognisable estimations.
Tribology of Electroless Nickel and Interlayer Coatings: A Review
Authors: Haniff Bharim A. , Zakwan Sarian M. , Bahiyah Baba N. 
Published: April 2021

Abstract
This review emphasizes on the development of electroless nickel composite coatings by incorporating different types of material and interlayers to improve the mechanical and tribological properties of the coatings. Electroless nickel coatings are the main focus of this review as it possesses excellent mechanical and tribological properties such as, hardness, wear and corrosion resistance. Besides, electroless nickel coating may behave as lubricating as well as wear resistance coating compared to other interlayer coatings. Tribology aspect is concern on the friction and wear phenomena which involved the moving parts that measures the overall systems’ life, efficiency, and reliability. Interlayer coatings are applied to improve the adhesion between the substrate and the outer coating materials. Various materials are used as interlayers either pure or compound metallic elements.
Experimental Study On Counting Of Eggs In Egg Breaking System And Level Maintenance In Collecting Tanks
Authors: Vairavel K S , Prabhu V , Poorna Divya R 
Published: April 2021

Abstract
The food industry is a global collective of diverse businesses that supply much of the food energy consumed by the world population. Eggs are one of the most nutritious foods available. The versatility of eggs means that they are an important ingredient in many food products including cakes, sauces, desserts and sandwiches. In egg processing industry the approximate amount of egg processed is 14, 00,500 eggs per day including wastages. But there is no accurate method to measure the broke eggs excluding the wastages. Our Project enhances the correct measurement and provides the data that how much eggs can be break to improve the amount of egg powder produced. Our project also includes the level maintenance the collecting tank which collects yolk, albumen and whole egg separately after breaking the eggs and the suction motor can be operated automatically when the level reaches the required level, this helps in complete automation in the industry by using Programmable Logic Controller (PLC).
Synthesis, characterization and optical properties of rare earth doped barium hexaferrite nano particles
Authors: Mahapatro Jayashri , Agrawal Sadhana 
Published: April 2021

Abstract
In this work we have prepared a series of BaFe12O19 :xEu3+ (x=0 to 2 mol %) samples by combustion method. The prepared samples were characterized by PXRD, TEM and FTIR. The structural analysis of PXRD pattern affirms that the specimens have space group p63/mmc and hexagonal structure. The TEM micrographs show hexagonal plate like structure and the FTIR spectra show vibration between the 4f1 and 4f2 crystallographic sites of the ferric ions. The absorption spectra of the prepared specimen were obtained from UV-vis spectroscopy. The calculated band gap values range from 3.99 eV to 2.29eV.
Study of TL characteristics of CaSO4: Dy phosphor with fly ash for thermoluminescence dosimeter application
Authors: Shrivastava Umakant , Mishra Vikas , Purle Narottam , Khan Mohammad Ziyauddin , Pali Rahul , Narasingham DVK , Sarkar Sukanto , Chandel Bhusan 
Published: April 2021

Abstract
In recent past fly ash is only being treated as waste and a source of air and water pollution but is in fact an eco - friendly and economically beneficial resource material for various applications and has also proven its worth over a period of time. The utilization of fly ash in several novel researches will also paves the path for systematic disposal of this waste material. The present paper involves the study of Thermoluminescence (TL) of different compositions of fly ash collected from National Thermal Power Corporation, Korba, Chhattisgarh, INDIA with (CaSO4:Dy) Phosphor. Thermo luminescence Dosimeters are regarded as the badge which absorbs the radiation when persons having TLD badges are exposed to radiation. We have to investigate and compare the glow curve behavior of pure phosphor and 10 %, 20 % and 30 % fly ash doped phosphor when it is exposed to gamma irradiation Cs137.
A study of enhanced structural, microstructural and dielectric behaviour of aliovalent ions doped BaZr0.05Ti0.95O3 ceramic
Authors: Nag Bhargavi G , Badapanda Tanmaya , Khare Ayush , Shahid Anwar M 
Published: April 2021

Abstract
The lead-free ceramics are considered to be the best substitutes for lead based ceramics which have tremendous harmful effects regarding environmental pollution. In this concern, the lead-free ceramics have been widely attracted by research communities. In the present study we have prepared lead free BaZr0.05Ti0.95O3perovskite ceramics with various doping concentrations of Gd3+ ions by the conventional solid-state reaction method. The perovskite phase formation was studied by x-ray diffraction which indicate the transformation of crystal symmetry from orthorhombic to tetragonal structure for the Gd3+ ions doped samples. The scanning electron microscopy studies revealed the modification in grain size on doping Gd ions also the energy dispersive X-ray spectra have been obtained to study the compositional variations. The dielectric and loss studies have been performed in the large range of temperature and frequency. The low dielectric loss and high dielectric constant suggests possible applications in memory devices and ceramic capacitors. Temperature coefficient of capacitance plots have also been plotted.
A Review on characterization and application of fly ash cenosphere
Authors: Gupta T , Bokare P S 
Published: April 2021

Abstract
The Fly Ash Cenospheres (FAC) or alumino-silicate is one of the most valuable by-products of fly ash generated by coal thermal power plants. It is an industrial by-product of high commercial value. It is found that FAC is hollow spherical microspheres having sizes varying 5-500 µm and chemically inert particles and make them an ideal material to replace fine aggregate from cement concrete. This study presents a systematic review of observational studies on the properties and application of FAC. Different industries use FACs due to their unique properties such as hollow spherical shape and lightweight, less specific gravity, high compressive strength, high thermal resistance, and acoustic insulation, etc. The addition of FAC to concrete has found to reduce the density of concrete without compromising the strength. Other properties such as compressive strength, flexural strength, toughness, ductility, micro-structure, etc are also documented in this study. The gap in the literature is identified and reported at the end of the research report.