bluuebunny/crossref_metadata_2025 huggingface dataset:
Default weighted survival analysis to directly model loss given default
Authors: Joubert Morne , Verster Tanja , Raubenheimer Helgard
Published: May 2022

Traditionally when predicting loss given default (LGD), the following models can be used: beta regression, inverse beta model, fractional response regression, ordinary least squares regression, survival analysis, run-off triangles and Box–Cox transformation. The run-off triangle method is commonly used in practice. When using survival analysis to model LGD a standard method to use is exposure at default (EAD) weighted survival analysis (denoted by EWSA). This article will aim to enhance the survival analysis estimation of LGD. Firstly by using default weighted LGD estimates and incorporating negative cash flows and secondly catering for over-recoveries. We will denote this new method to predict LGD as the default weighted survival analysis (DWSA). These enhancements were motivated by the fact that the South African Reserve Bank requires banks to use default weight LGD estimates in regulatory capital calculations. Therefore by including this into the survival analysis approach, the model is aligned more closely to regulations. Recovery datasets used by banks include both negative and over-recoveries. By including these into the LGD estimation, the models more are closely aligned to the actual data. The assumption is that the predictive power of the model should therefore be improved by adding these changes. The proposed model is tested on eight datasets. Three of these are actual retail bank datasets and five are simulated. The datasets used are representative of the data typically used in LGD estimations in the South African retail environment. This article will show that the proposed DWSA model outperforms the EWSA model by resulting in not only the lowest mean squared error (MSE), but also the lowest bias and variance across all eight datasets. Furthermore, the DWSA model outperforms all other models under review.
Bayesian testing for process capability indices
Authors: van der Merwe A. J. , Sjölander M. R. , van Zyl R.
Published: May 2022

Process capability indices have been widely used in the manufacturing industry. They measure the ability of a manufacturing process to produce items that meet certain specifications. A capability index relates the voice of the customer (specification limits) to the voice of the process. There is a need to understand and interpret process capability indices. Most of the existing work in this area has been devoted to classical frequentist large sample theory. An alternative approach to the problem of making inference about capability indices is the Bayesian approach. In this paper a Bayesian version of Tukey’s method is used for constructing simultaneous credibility intervals for all pairwise differences. A Bayesian procedure for testing all possible contrasts is also given. The problem of selecting the best supplier(s) has received considerable attention in the literature, but mainly from a classical frequentist point of view. A Bayesian simulation procedure is also illustrated to find the best supplier or group of suppliers.This method seems much easier to perform than the Monte Carlo integration method given in Wu, Shiau, Pearn and Hung (2016). In section 10, a sensitivity analysis regarding the prior choice is considered and in the last section, t-distributed data are analysed.
Direct First Parker Solar Probe Observation of the Interaction of Two Successive Interplanetary Coronal Mass Ejections in 2020 November
Authors: Nieves-Chinchilla Teresa , Alzate Nathalia , Cremades Hebe , Rodríguez-García Laura , G. Dos Santos Luiz F. , Narock Ayris , Xie Hong , Szabo Adam , Palmerio Erika , Krupar Vratislav , Pulupa Marc , Lario David , Stevens Michael L. , Wilson Lynn B. , Kwon Ryun-Young , Mays M. Leila , St. Cyr O. Chris , Hess Phillip , Reeves Katharine K. , Seaton Daniel B. , Niembro Tatiana , Bale Stuart D. , Kasper Justin C.
Published: May 2022

We investigate the effects of the evolutionary processes in the internal magnetic structure of two interplanetary coronal mass ejections (ICMEs) detected in situ between 2020 November 29 and December 1 by the Parker Solar Probe (PSP). The sources of the ICMEs were observed remotely at the Sun in EUV and subsequently tracked to their coronal counterparts in white light. This period is of particular interest to the community as it has been identified as the first widespread solar energetic particle event of solar cycle 25. The distribution of various solar and heliospheric-dedicated spacecraft throughout the inner heliosphere during PSP observations of these large-scale magnetic structures enables a comprehensive analysis of the internal evolution and topology of such structures. By assembling different models and techniques, we identify the signatures of interaction between the two consecutive ICMEs and the implications for their internal structure. We use multispacecraft observations in combination with a remote-sensing forward modeling technique, numerical propagation models, and in situ reconstruction techniques. The outcome, from the full reconciliations, demonstrates that the two coronal mass ejections (CMEs) are interacting in the vicinity of the PSP. Thus, we identify the in situ observations based on the physical processes that are associated with the interaction and collision of both CMEs. We also expand the flux rope modeling and in situ reconstruction technique to incorporate the aging and expansion effects in a distorted internal magnetic structure and explore the implications of both effects in the magnetic configuration of the ICMEs.
21cmVAE: A Very Accurate Emulator of the 21 cm Global Signal
Authors: Bye Christian H. , Portillo Stephen K. N. , Fialkov Anastasia
Published: May 2022

Considerable observational efforts are being dedicated to measuring the sky-averaged (global) 21 cm signal of neutral hydrogen from Cosmic Dawn and the Epoch of Reionization. Deriving observational constraints on the astrophysics of this era requires modeling tools that can quickly and accurately generate theoretical signals across the wide astrophysical parameter space. For this purpose artificial neural networks were used to create the only two existing global signal emulators, 21cmGEM and globalemu. In this paper we introduce 21cmVAE, a neural-network-based global signal emulator, trained on the same data set of ∼30,000 global signals as the other two emulators, but with a more direct prediction algorithm that prioritizes accuracy and simplicity. Using neural networks, we compute derivatives of the signals with respect to the astrophysical parameters and establish the most important astrophysical processes that drive the global 21 cm signal at different epochs. 21cmVAE has a relative rms error of only 0.34%—equivalently 0.54 mK—on average, which is a significant improvement compared to the existing emulators, and a run time of 0.04 s per parameter set. The emulator, the code, and the processed data sets are publicly available at https://github.com/christianhbye/21cmVAE and through https://zenodo.org/record/5904939.
Morpho-kinematic Properties of Wolf–Rayet Planetary Nebulae
Authors: Danehkar A.
Published: May 2022

The majority of planetary nebulae (PNs) show axisymmetric morphologies, whose causes are not well understood. In this work, we present spatially resolved kinematic observations of 14 Galactic PNs surrounding Wolf–Rayet ([WR]) and weak emission-line stars (wels), based on the Hα and [N ii] emission taken with the Wide Field Spectrograph on the Australian National University 2.3 m telescope. Velocity-resolved channel maps and position–velocity diagrams, together with archival Hubble Space Telescope (HST) and ground-based images, are employed to construct three-dimensional morpho-kinematic models of 12 objects using the program shape. Our results indicate that these 12 PNs mostly have elliptical morphologies, with either open or closed outer ends. The kinematic maps show the on-sky orientations of the interior shells in NGC 6578 and NGC 6629, as well as the compact (≤6″) PNs Pe 1-1, M 3-15, M 1-25, Hen 2-142, and NGC 6567, in agreement with the elliptically symmetric morphologies seen in high-resolution HST images. Point-symmetric knots in Hb 4 exhibit deceleration with distance from the central star, which could be due to shock collisions with the ambient medium. The velocity dispersion maps of Pe 1-1 also disclose the shock interaction between its collimated outflows and the interstellar medium. Collimated bipolar outflows are also visible in the position–velocity diagrams of M 3-30, M 1-32, and M 3-15, which are reconstructed by tenuous prolate ellipsoids extending upward from dense equatorial regions in the kinematic models. The formation of aspherical morphologies and collimated outflows in these PNs could be related to the stellar evolution of hydrogen-deficient [WR] and wels nuclei, which require further investigation.
The history and typification of Lilium brownii A.Lemoinier (Liliaceae)
Authors: Compton James A.
Published: May 2022

The Chinese Lilium brownii has been much confused with the Japanese endemic species Lilium japonicum. In this paper, it is shown that L. brownii was introduced to England at least four times between 1804 and 1819. The history of L. brownii is fully discussed and its taxonomy, nomenclature and relationships are examined. A neotype is designated for the name, its correct botanical authority is given and the correct place of its publication is provided. Lectotypes are also provided for the names Lilium aduncum Stapf, Lilium australe Stapf, Lilium odorum Planch., Lilium brownii var. colchesteri E.H.Wilson and Lilium brownii var. ferum Stapf.
La première relation sexuelle, une agression ?
Authors: Bernateau Isée
Published: May 2022

L’auteure évalue ici les incidences dans la cure des premières expériences sexuelles des adolescents. Ces premières relations mobilisent des fantasmes d’agression car le lien entre sexualité et destructivité s’y incarne de façon privilégiée, même quand elles sont librement consenties. L’auteure fait l’hypothèse que la violence du sexuel infantile y est prégnante, réactivée par le caractère traumatique que revêt immanquablement la première relation sexuelle du fait de sa nouveauté radicale.
Une ado agressive, un enfant en colère : les masques du sexuel
Authors: Morel Alexandre
Published: May 2022

Le récit de quelques moments de la cure d’une adolescente présente comment les figures de l’agression suivent les vicissitudes d’un « sexuel » dont on interroge les formes changeantes en particulier dans leur réorganisation entre enfance et adolescence. Le transfert y fomente des jeux et des pièges qui convoquent l’analyste en des modalités de présence très diverses. Dans le même temps que la patiente veut faire l’adulte en s’identifiant à l’agresseur, c’est bien l’enfant qu’elle fut qui demande très fréquemment à être entendue.
Économie verte : marchandiser la planète pour la sauver ?
Authors: Duterme Bernard
Published: May 2022

Définie par l’ONU comme «  une manière écologique de faire des affaires  », l’économie verte entend réconcilier croissance et nature. Le troisième pilier du développement durable (le social) mis entre parenthèses, le temps de rebooster le premier (l’économique) en valorisant le deuxième (l’environnemental) ? À défaut de protéger les ressources et de partager les richesses, le capitalisme, désormais vert, y sauverait sa peau. La controverse clive les États du Nord et du Sud.
Économie verte : marchandiser la planète pour la sauver ?
Authors: Purugganan Joseph , Mendoza Carlos , Polet François
Published: May 2022

Les négociations autour de la conférence Rio+20 et du concept d’« économie verte » renforcent, davantage qu’elles ne questionnent, le modèle de libéralisation du commerce et des investissements. Bien qu’ils revendiquent l’idée de « marges de manœuvre nationales », les gouvernements asiatiques n’échappent pas à ce consensus et concentrent leurs efforts dans la lutte contre le « protectionnisme vert » des pays développés.
Nursing Staff's Role in Detecting Urinary Tract Infections in Nursing Homes: An Integrative Review
Authors: Delgado Kimberly F. , Roberson Donna , Haberstroh Amanda , Wei Holly
Published: May 2022

Despite evidence-based protocols, inappropriate antibiotic use still presents a systemic global threat to health care in nursing homes (NHs). Nursing staff are responsible for recognizing signs and symptoms that may indicate urinary tract infections (UTIs). The current integrative review was designed to examine the state of the literature related to the role of nursing staff in UTI identification and care in NHs. This review, which includes 19 articles published between 2011 and 2020, identified that, although prescribers are the experts in UTI management, nursing staff in NHs were the individuals who recognized changes and communicated residents' needs to prescribers. Further research is required to understand nursing staff's decision making and unique perspectives and determine if evidence-based protocols align with current practice in the NH setting. [
Journal of Gerontological Nursing, 48
(5), 43–50.]
The Cauchy problem to a gkCH equation with peakon solutions
Authors: Guo Yunxi , Wang Ying
Published: May 2022

Considered in this paper is a generalized Camassa-Holm equation, which includes both the Camassa-Holm equation and the Novikov equation as two special cases. Firstly, two blow-up criteria are established for the generalized Camassa-Holm equation. Then we derive two blow-up phenomena, where a new $ L^{2k} $ estimate plays a crucial role. In addition, we also show that peakon solutions are global weak solutions.
Triclustering method for finding biomarkers in human immunodeficiency virus-1 gene expression data
Authors: Siswantining Titin , Bustamam Alhadi , Sarwinda Devvi , Soemartojo Saskya Mary , Latief Moh. Abdul , Octaria Elke Annisa , Siregar Anggrainy Togi Marito , Septa Oon , Al-Ash Herley Shaori , Saputra Noval
Published: May 2022

HIV-1 is a virus that destroys CD4 + cells in the body's immune system, causing a drastic decline in immune system performance. Analysis of HIV-1 gene expression data is urgently needed. Microarray technology is used to analyze gene expression data by measuring the expression of thousands of genes in various conditions. The gene expression series data, which are formed in three dimensions, are analyzed using triclustering. Triclustering is an analysis technique for 3D data that aims to group data simultaneously into rows and columns across different times/conditions. The result of this technique is called a tricluster. A tricluster is a subspace in the form of a subset of rows, columns, and time/conditions. In this study, we used the $ \delta $-Trimax, THD Tricluster, and MOEA methods by applying different measures, namely, transposed virtual error, the New Residue Score, and the Multi Slope Measure. The gene expression data consisted of 22,283 probe gene IDs, 40 observations, and four conditions: normal, acute, chronic, and non-progressor. Tricluster evaluation was carried out based on intertemporal homogeneity. An analysis of the probe ID gene that affects AIDS was carried out through this triclustering process. Based on this analysis, a gene symbol which is biomarkers associated with AIDS due to HIV-1, HLA-C, was found in every condition for normal, acute, chronic, and non-progressive HIV-1 patients.
Stable anisotropic capillary hypersurfaces in a wedge
Authors: Koiso Miyuki
Published: May 2022

We study a variational problem for hypersurfaces in a wedge in the Euclidean space. Our wedge is bounded by a finitely many hyperplanes passing a common point. The total energy of each hypersurface is the sum of its anisotropic surface energy and the wetting energy of the planar domain bounded by the boundary of the considered hypersurface. An anisotropic surface energy is a generalization of the surface area which was introduced to model the surface tension of a small crystal. We show an existence and uniqueness result of local minimizers of the total energy among hypersurfaces enclosing the same volume. Our result is new even when the special case where the surface energy is the surface area.
A Conceptual Framework for Social Currency Innovation: A Service Design Perspective
Authors: Telalbasic Ida
Published: May 2022

Early-stage entrepreneurs struggle to find financial access to different types of services that help develop their businesses. In recent research, complementary currency systems have been identified as promising alternatives to the deficit of money for accessing goods and services. The purpose of this study is to explore the potential of service design as a tool to create more resilient currency services that enable the exchange of digital credits between entrepreneurs. The theoretical investigation focused on relationships between complementary currency systems as resilient strategies and sociological interpretations of value exchange. Furthermore, service design tools, methods, and approaches are applied to the thinking towards social currency innovation. The resulting Conceptual Framework for Social Currency Innovation (CFSCI) highlights the potential of service design in making services more accessible, transparent, and affordable. Service design is relevant in understanding financial transactions, as it helps to perceive exchanges between entrepreneurs as services. Service design research can contribute to a reframing of issues of unaffordable services by conceptualizing service systems that enable skilled individuals to exchange their knowledge through social currencies. These new currencies make transactions between entrepreneurs possible and the service design perspective makes them more meaningful for the users.
From Open Access Publishing to Open Science
Authors: Kosmopoulos Christine
Published: May 2022

By facilitating and accelerating access to knowledge, the digital revolution and the development of the internet in the 1990s constituted a “disruptive” innovation that radically transformed the models and practices of scientific information transmission. It opened the way to open access in science, a novel and promising solution that promotes the sharing of publications and data, and new modes of research assessment. The COVID-19 crisis and the spread of fake news on social networks have shown how necessary it has become to provide scientific information that is controlled by the community and freely accessible to citizens. This chapter will focus on the processes that underpin the production of Open Science by examining the development of open access scholarly publishing in Europe, particularly for the social sciences and humanities.
Open Access Initiatives in Ethiopia's Higher Learning Institutions
Authors: Beyene Melkamu , Tekle Solomon Mekonnen , Alemneh Daniel Gelaw
Published: May 2022

Ethiopia is one of the world's oldest civilizations with a population of about 120 million (2022 estimate). Ethiopia suffers from declining higher education quality, resulting from the rapid growth in the number of institutions (from three in 1990s to 50+ public Universities and 327+ private higher education institutions in 2022), the rapid expansion in tertiary student enrollment, as well as the lack of basic entrance qualifications. The quality of education in Ethiopia is further impacted by their limited access to critical content or knowledge as evidenced by limited subscriptions to scientific and technical databases. In recognition of open access's (OA's) potential to fill disadvantageous access gaps and enhance the overall educational quality, Ethiopia adopted a National OA policy in 2019. Among other enforcement mechanisms and guidelines, the policy requires universities to deposit all publicly funded publications in the National Academic Digital Repository of Ethiopia as well as in an institutional repository. In this chapter, the authors outline the state of OA policies and practices in Ethiopia's higher learning institutions.
The Struggle of Open Access Publishing
Authors: Priyanto Ida Fajar
Published: May 2022

Open access (OA) publishing has been in existence for almost 30 years. The development is not without barriers. So much effort has been needed to develop OA publishing, including OA books, OA repositories, OA journals, and open data repositories. Indonesia has been experiencing growth in OA publishing, especially in the last 10 years. To realize OA publishing requires much effort. Lack of understanding of OA, lack of OA policy, and contrasting views of OA have resulted in weak recognition of OA publishing. Further and more efforts are needed.
Open Access and Research Reproducibility in Biomedical Sciences
Authors: Assefa Shimelis Getu
Published: May 2022

Reproducibility-enhancing practices of open access journals in biomedical sciences are investigated. Based on transparency and openness promotion guidelines and relevant reporting requirements by institutions that are in the forefront of advancing reproducibility research, eight standards were used to evaluate 27 biomedical journals to 1) determine the extent to which these journals address reproducibility, 2) identify specific policy themes required, and 3) understand overall infrastructure promoted by the journals to deposit, archive, share, and discover research assets. The results show that almost all the 27 journals required authors to address six of the eight standards when preparing and submitting their research. Two standards that were not frequently addressed are preregistration of the study and preregistration of analysis plans. ‘Data availability' policy is the most recurring theme across all journals. The infrastructure promoted to manage the overall scholarly communication workflow range from data, code, software repositories, protocol registration, to funding registry.
Implementation of Protection of Personal Information Act No. 4 of 2013 of South Africa by Comparing Universities of Venda and Witwatersrand
Authors: Netshakhuma Nkholedzeni Sidney
Published: May 2022

Protection of personal information and access to universities' records requires the establishment of a records management division to handle personal information. Yet little attention has been focused on the roles and responsibilities of records management professionals, who enable the management of personal information. The purpose of this chapter is to assess and compare the current state of the implementation of the Protection of Personal Information Act No 4 of 2013 in two South African universities, namely the University of Venda and the University of Witwatersrand. The chapter used a qualitative research approach. Secondary data were derived from a literature search and primary data from interviews. Despite the enactment of the act, privacy breaches continued to increase due to the ineffective records management division dedicated to the management of personal information. Universities are to strengthen their internal process on personal information to comply with the General Data Protection Regulations (GDPR).
Reframing Educational Tools as Open Access and Sustainable Funding Models
Authors: Helge Kris Swen
Published: May 2022

The SARS CoV-2 (COVID-19) pandemic drastically forced millions of students, faculty, staff, and administrators into a digital world of the unknown. The unexpected perplexities of these unknown digital environments resulted in unacceptable percentages of student losses in school attendance, student academic performance, and as a result loss to local communities. One perpetual reminder this pandemic taught is that even post-COVID, educational institutions will have to rely upon remote, digital interfaces due to future challenges such as hurricanes, fires, flooding, rolling blackouts, etc. However, each of these barriers also presents new opportunities to learn and provide access to products and services such as hardware and Internet access, which will improve student success and retention.
Development of an Information Research Platform for Data-Driven Agriculture
Authors: Kawamura Takahiro , Katsuragi Tetsuo , Kobayashi Akio , Inatomi Motoko , Oshiro Masataka , Eguchi Hisashi
Published: May 2022

Comprehensive research data are acknowledged as a necessity for research acceleration. Research institutes and universities are engaged in developing research data management systems. The National Agriculture and Food Research Organization of Japan (NARO) developed NARO-linked databases (Narolin DBs) in addition to a supercomputer. In the Narolin DB various research data on agriculture are cataloged using common metadata. The relationship between complicated data in natural science is described in RDF, property graph, or RDB format to facilitate the application of statistical analysis and machine learning. Our system is unique in that it is connected to a data catalog, a private cloud database, a supercomputer for data analysis, and a data/service portal for business applications, such as a data pipeline. Through the development of agricultural information research platforms, NARO will accelerate data-driven agricultural research at various stages in the agricultural supply chain, ranging from genome analysis to plant breeding, cultivation, food processing, and food distribution.
Diversities in Teacher Education
Authors: Iwai Yuko
Published: May 2022

In the teacher workforce, approximately two-thirds of teachers are White. While the population of diverse learners has grown in school, we lack teacher diversity. Diversifying voices and perceptions of all students is important. Teachers from minority groups can contribute to this diversification. This study examined teacher self-identity and teacher self-efficacy among 22 diverse preservice teachers at a university. The researcher looked at: (1) how these preservice teachers self-identify through the teacher education programs, and (2) how their teacher education programs and field teaching experiences shape their teacher self-efficacy. Results showed that they developed their identities based on their ethnic and racial identities and family backgrounds. They also believed they can make positive impacts on students. Results showed no significant differences on the overall of self-efficacy and on three subscales of efficacy between first- and second-year preservice teachers and third- and fourth-year preservice teachers. Implications for teacher educators are discussed.
An Empirical Study on Solar Performance, Cost, and Environmental Benefits of Solar Power Supply
Authors: Muzammil Samreen , Akhund Sarmad Ali , Channa Faizan
Published: May 2022

Developing countries are still using fossil fuels as the conventional method to produce electricity. Pakistan is one of the developing countries which relies on fossil fuels to produce electricity. Based on United Nations 17 sustainable goals and high fuel prices, the government of Pakistan is encouraging the solar power sector and investments from private companies in the technology by reducing tariffs to import solar technology. The report aims to analyze the technical and commercial aspects of solar power generation, net metering, impact on the supply and demand of power generation on the K-Electric grid system, and its environmental impact. The research is applied research based on the data provided by the company. By sustaining the demand for conventional power through solar energy, Pakistan and other developing countries could better perform by increasing solar energy performance.
An Agent-Based Home Exchange Model to Reduce Commute Times of University Students
Authors: Buyruk Yusuf , Cenani Sehnaz , Çağdaş Gülen
Published: May 2022

This article reports results of a study on reducing commute times in Istanbul, Turkey with special reference to university students. In order to reduce commute times in cities with high population density, this study proposes a mutual home exchange model for university students. The proposed model searches for suitable matches that can reduce commute times for residents in the case that they want to exchange their houses. A new matching algorithm has been designed in the context of this study. Agent-based approach has been preferred to define and solve home exchange problem and each home location is considered as an agent. Furthermore, two main one-sided matching algorithms, which are Irving’s Stable Roommate matching algorithm and Gale’s Top Trading Cycles matching algorithm, have been implemented for the home exchange problem. The proposed algorithm and two matching algorithms have been applied on a virtual data. The results of home exchange matching algorithms are presented.
Book Review
Authors: Brito Alvaro
Published: May 2022

The Esports Education Playbook: Empowering Every Learning Through Inclusive Gaming is a helpful guide to get the reader started with an esports program at a middle school or high school. The book provides a roadmap to get schools started with esports by clearly indicating how schools will benefit from esports. It also provides arguments and strategies for changing the hearts and minds of those who are against having video games in schools. The book articulates how to work with various stakeholders to make esports happen in a K-12 atmosphere. Finally, the book details how to design an effective esports program by providing a plethora of resources, advice, and suggestions.
Improved Security Approach Based on AES Algorithm for LST Retrieval Using Satellite Imagery in Radiation-Tolerant FPGAs
Authors: El Makhloufi Assaad , Chekroun Nisrine , El Adib Samir , Raissouni Naoufal
Published: May 2022

Transmission of sensitive data in space missions and particularly in satellite remote sensing to the ground station is exposed to multiple threats impacting the conﬁdentiality of data, access unauthorized to the satellite system, in addition, the space environment causes several threats that can affect the hardware of satellites. This paper describes an improved approach to implement a secure Land Surface Temperature-Split Windows (LST-SW) algorithm based on the Advanced Encryption Standard using the Reconfigurable Dynamic Method for application on-board earth observation satellites implemented on radiation-tolerant Virtex-4QV FPGA. The experimental results showed that the proposed hardware secure implementation of the LST-SW algorithm using Xilinx Virtex-4QV FPGA achieves higher throughput of 907.644 Mbps sufficient for satellite remote sensing mission. Moreover, the suggested implementation consumes 4089 Slices and 4 BRAMs. Finally, the authors use security measurement analyses to verify the safety and performance of the proposed encryption LST-SW module.
Improving the Computational Process for Identifying Optimal Design Using Fuzzified Decision Models
Authors: Olabanji Olayinka Mohammed
Published: May 2022

Concept selection in design is an important aspect of design process that must be done properly with the right tools. The identification of optimal design is presented in this article by integrating three Multicriteria decision making models which are fuzzified pairwise comparison matrices, fuzzified weighted decision matrix and fuzzy VIKOR. Rather than depending solely on design expert’s view to determine weights of the design features, the pairwise comparison matrices determines the weights of design features and sub features in the decision process. The weighted decision matrix aggregates scores for the alternative designs considering the availability of sub features in them. The aggregated scores form the elements of the main decision matrix together with the weights of the design features and the Fuzzy VIKOR model determines the performance index of the design concepts. The hybridized model was validated using four conceptual designs of liquid spraying machines and the results obtained shows that the model provides computational integrity in decision making process.
A Parallel Fuzzy Load Balancing Algorithm for Distributed Nodes Over a Cloud System
Authors: Hamdani Mostefa , Aklouf Youcef , Bouarara Hadj Ahmed
Published: May 2022

Cloud Computing is an IT organization concept that places the Internet at the heart of business activity, allowing it to use hardware resources. In recent years, Load Balancing has been an active area of research, and has played a very important role in the case of the Cloud environment. There is a wide range of improvements in this arena. In this paper, we propose a new Load Balancing algorithm, based on the weights of the nearest servers in the cloud platform. We use the fuzzy logic to represent the weight of the different nodes. Moreover, we implement separate requests in parallel, and use a token to dispatch tasks efficiently. The several scenarios in this paper are considered for experimentation and compare the result of existing Round Robin, Throttled Load Balancing, Equal Spread Load and proposed algorithm .The experiment results show that this approach improves the Load Balancing process effectively in terms of overall response time, data center processing time, total virtual machine cost, and total data transfer cost.
Duplicate Image Representation Based on Semi-Supervised Learning
Authors: Chen Ming , Yan Jinghua , Gao Tieliang , Li Yuhua , Ma Huan
Published: May 2022

For duplicate image detection, the more advanced large-scale image retrieval systems in recent years have mainly used the Bag-of-Feature ( BoF ) model to meet the real-time. However, due to the lack of semantic information in the training process of the visual dictionary, BoF model cannot guarantee semantic similarity. Therefore, this paper proposes a duplicate image representation algorithm based on semi-supervised learning. This algorithm first generates semi-supervised hashes, and then maps the image local descriptors to binary codes based on semi-supervised learning. Finally, an image is represented by a frequency histogram of binary codes. Since the semantic information can be effectively introduced through the construction of the marker matrix and the classification matrix during the training process, semi-supervised learning can not only guarantee the metric similarity of the local descriptors, but also guarantee the semantic similarity. And the experimental results also show this algorithm has a better retrieval effect compared with traditional algorithms.
Optimizing the Performance of IoT Using FPGA as Compared to GPU
Authors: Nair Rajit , Sharma Preeti , Sharma Tripti
Published: May 2022

Internet of Things (IoT) is an emerging field in the area of research and the emergence of the Internet of Things has developed an explosion in the area of sensor computing platforms. A wide range of applications has been developed using this sensor platform by using IoT devices ranging from simple devices to complex machines like the implementation of Artificial intelligence in various devices. Developers are working on more complex devices that can generate more performance but at the same time, they are targeting low-cost machine systems like CPU, and sometimes this low cost might generate low performance. To overcome these low-performance issues one should properly differentiate the features so that it can select the proper platform might be a CPU system or it can be a custom platform with hardware accelerators that includes GPUs and FPGAs. These custom platforms are costlier than the CPU systems but it will generate better performance than the CPU systems. This paper shows how FPGA can optimize the performance of the Internet of Things.
Intrusion Detection Model Based on Rough Set and Random Forest
Authors: Ling Zhang , Wei Zhang Jian , Mei Fan Nai , Hao Zhao Hao
Published: May 2022

Currently, redundant data affects the speed of intrusion detection, many intrusion detection systems (IDS) have low detection rates and high false alert rate. Focusing on these weakness, a new intrusion detection model based on rough set and random forest (RSRFID) is designed. In the intrusion detection model, rough set (RS) is used to reduce the dimension of redundant attributes; the algorithm of decision tree(DT) is improved; a random forest (RF) algorithm based on attribute significances is proposed. Finally, the simulation experiment is given on NSL-KDD and UNSW-NB15 dataset. The results show: attributes of different types of datasets are reduced using RS; the detection rate of NSL-KDD is 93.73%, the false alert rate is 1.02%; the detection rate of NSL-KDD is 98.92%, the false alert rate is 2.92%.
Internet of Things-Based Automated Shopping Cart Incorporated With Virtual Instrumentation Using LabVIEW for Control Applications
Authors: Basheer Shakila , vivekanadan S.  , Panchatcharam Parthasarathy , Gandhi Usha Devi
Published: May 2022

Shopping mall or a super market is a first choice for buying all necessary products and that is why it attracts more number of customers than the retail shop. But the problem is it creates too many hurdles for customer and owner to maintain the order and keep sync with the time at billing counter. The normal billing and shopping system lacks the time saving approach also it doesn't have proper security arrangements to avoid theft and duplication. To overcome this issue, we developed a smart way for shopping using LabVIEW incorporated with internet of things (IOT). Each and every product contains RFID tag. The smart trolley will consist of a RFID reader, transmitter and ZigBee unit. Along with this, the cart is equipped with the child monitor unit. The whole system is controlled by utilizing the controller developed using LabVIEW. The ZigBee module attached in the cart is responsible for sending the bill to the main billing system and IOT feature is also enabled so that shopping-bill of each customer is mailed to their respective mail-id through esp8266 Wi-Fi module.
A Workload and Machine Categorization-Based Resource Allocation Framework for Load Balancing and Balanced Resource Utilization in the Cloud
Authors: Thakur Avnish , Goraya Major Singh
Published: May 2022

This paper proposes a workload and machine categorization based resource allocation framework for balancing the load across active physical machines as well as utilizing their different resource capacities in a balanced manner. The workload, essentially independent and non-preemptive tasks are allocated resources on the physical machines whose resource availability complements the resource requirement of tasks. Simulation based experiments are performed using CloudSim simulator to execute three different set of tasks comprising 10000, 20000, and 30000 number of tasks. The metric of load imbalance across active physical machines and the metric of utilization imbalance among their considered resource capacities (i.e., CPU and RAM) are measured in different scheduling cycles of a simulation run. Simulation results show that the proposed resource allocation method outperforms the compared methods in terms of balancing the load across active physical machines and utilizing their different resource capacities in a balanced manner.
Investigating the Impact of Outsourcing on IT Flexibility
Authors: Tarenskeen Deborah , van de Wetering Rogier , Bakker René , Brinkkemper Sjaak
Published: May 2022

Modern healthcare organizations try to leverage their IT infrastructures to enhance the efficiency of processes and the quality of patient services. The flexibility of the IT infrastructure is a critical factor in the process of establishing strategic and operational value. The authors examine how applied principles of Conceptual Independence (CI) in information systems (IS) influence the flexibility of IT infrastructures. Furthermore, it is presumed that IT outsourcing plays a role in IT flexibility. The second question asks whether IT outsourcing configurations change when CI has been applied or not. Quantitative and qualitative data have been collected in 9 mental healthcare organizations. Findings – based on integration of the data with a mixed-method approach - suggest that the healthcare organizations that apply the principles of CI are better equipped to adapt their IT infrastructure to changing demands, requests and needs. Likewise, results suggest that they have changed the government of IT outsourcing thereby increasing IT flexibility even further.
RETRACTED: Liver Disease Detection
Authors: Pan Aritra , Mukhopadhyay Shameek , Samanta Subrata
Published: May 2022

Intelligent predictive systems are showing a greater level of accuracy and effectiveness in early detection of critical diseases like cancer and liver and lung disease. Predictive models assist medical practitioners in identifying the diseases based on symptoms and health indicators like hormones, enzymes, age, bloodcounts, etc. This study proposes a framework to use classification models to accurately detect chronic liver disease by enhancing the prediction accuracy through cutting-edge analytics techniques. The article proposes an enhanced framework on the original study by Ramana et al. It uses evaluation measures like precision and balanced accuracy to choose the most efficient classification algorithm in India and USA patient datasets using various factors like enzymes, age, etc. Using Youden's Index, individual thresholds for each model were identified to increase the power of sensitivity and specificity. A framework is proposed for highly accurate automated disease detection in the medical industry, and it helps in strategizing preventive measures for patients with liver diseases.
The Role of the Digital Economy in Market Disruption
Authors: Silva Rui P. , Mamede Henrique S.
Published: May 2022

The role of the digital economy is undoubtful these days, with new digital services and technologies appearing regularly, creating new products, and digitalizing others. With the technology exploring new limits, the growth tendency of this economy is clear, and more incumbents will face serious competition, which can’t be ignored. Several of these startups have untapped markets that are not being addressed, exploring that disruption leads to more innovative solutions that will likely lead to better services for people and organizations. Those startups might, though, move up the ladder and take away the market from those incumbents; with this work, we aim to analyze the role of digital economies in market disruption through the lenses of a case study and understand to what extent that case is looking at disrupt an existing market
Color Image Contrast Enhancement Using Modified Firefly Algorithm
Authors: Kumar Narendra , Kumar Anil , Kumar Krishna
Published: May 2022

The image enhancement process is used for improving the standard of the image, it's inspired by the development of human perception pictorial information. Increasing the contrast of the image, removing the unwanted noise from the images is the picture enhancement process. A histogram of the low contrast images and depth image is employed to enhance image contrast. In the proposed work, a color image as input and extract out the red, green, and blue pixel matrixes from it, then obtain the optimized histogram using the modified firefly algorithm and compare the performance matrices like PSNR and Entropy, etc. with other optimization techniques.
Determinants of ERP Adoption, User Satisfaction, and User Engagement
Authors: Mohanty Pankaj Kumar , Sekhar S. F. Chandra , Shahaida P.
Published: May 2022

Based on the theory of reasoned action (TRA) and the diffusion of innovation framework, this study examines the key determinants and outcomes of enterprise resource planning (ERP) adoption. The study specifically investigated the impact of system quality and user training on ERP adoption intention. Further, the impacts of ERP adoption intention and personal innovativeness on ERP adoption were also studied. User satisfaction with ERP and user engagement were considered as the two outcomes of ERP adoption. To achieve these objectives, an online survey was conducted and data was collected from 180 ERP users across multiple industries in India to understand their perception of such matters. Structural equation modeling using the partial least square approach was used to test the proposed hypotheses. The results of SEM analysis supported all the hypotheses under investigation. These results provide relevant evidence that may encourage organizations to understand the key determinants of successful ERP adoption and its significant impacts on user satisfaction with ERP and user engagement.
Language-Agnostic Knowledge Representation for a Truly Multilingual Semantic Web
Authors: Jain Sarika , Kysliak Anastasiia
Published: May 2022

As the Internet users’ communities and the information on the web are increasing exponentially, that too associated with a wide range of different cultures and languages; meaningful search in a multilingual setting is required. It is crucial to develop a simple to use, granular, and adaptable knowledge representation system that could constitute the core of Semantic Web. It should be well-prepared for multilingual and multicultural settings by virtue of internationalizing the code. In this work, a model for ontology-based language-agnostic Semantic Web application architecture is offered which is independent of today’s heterogeneous encoding of language resources and provides smooth exploitation. The suggested system architecture enables a quick and meaningful search for information independent of the end user’s preferred language and cultural conventions, an easy extension of the application with new information, as well as its easy localization for new language contexts. The model’s usability is proven by a prototype application simulation in the domain of Indian biodiversity.
Analysis of Cloud and Self-Web-Hosting Services Based on Security Parameters
Authors: Khare Surbhi , Badholia Abhishek
Published: May 2022

Most of the web applications are hosting by cloud due to low cost and low infrastructure setup is required. In continue to this, user no need to maintain the infrastructure by their own. In this paper, both the technology, self-web-hosting, and cloud-web-hosting are compared based on different security parameters like key generation (PKI), automatic authentication and protection of intra-tenant networks, secure logging system events, spam filtering, CAPTCHA generation and authentication, and software widgets such as password metering. These parameters are classified into seven categories and the review has been conducted based on these categories. The bibliometric analysis has been conducted where ever more than 70 research found in Web-of-Science (WoS) database through bibliometric library and biblioshine package in R programming. The outcome of this analysis is presented in tabular form, and open challenges of both the technologies are discussed in details with proposed solutions.
WSN-Driven Posture Recognition and Correction Towards Basketball Exercise
Authors: Cai Xiangyang
Published: May 2022

In order to enhance the daily training for basketball, this paper establishes a human posture estimation framework by using monocular camera and wireless sensor network. First, the daily basketball training images are collected by monocular camera and transmitted through wireless sensor network. Second, the collected images are processed by an observation and reasoning model which is based on component and graph reasoning. The basketball player's posture is depicted by the rotation invariant features of edge field. The extracted features are used to learn a boosting classifier as the observation model. The experimental results show that the posture recognition rate can achieve more than 88% for basketball player's action.