bluuebunny/crossref_metadata_2025 huggingface dataset:
How do We Assess Enterprise Risk Management Disclosure?
Authors: Nisrina Nisrina , Nuraini Nuraini , Dedi Priantana Riha
Published: September 2023

This study aims to empirically explore company size and corporate governance as determinants of risk management disclosure by investigating the effect of a combination of determinants on risk management disclosure practices in manufacturing companies. This study used a random sampling method. The sample for this research is 189 manufacturing companies (3 years of observation) listed on the Indonesia Stock Exchange for the 2019-2021 period. The COSO 2017 spreadsheet was used to measure the level of risk management disclosure. Panel data regression analysis using the Eviews program version 10 was used to examine the effect of company size and corporate governance on risk management disclosure. The results showed that company size, institutional ownership, and audit committee had a positive effect. In contrast, the size of the board of commissioners hurt risk management. The independent board of commissioners with managerial ownership shows results that do not affect risk management in manufacturing companies in Indonesia.
Efficacy of sunscreen gel infused with giant tiger prawn (Penaeus monodon) head extract
Authors: Marwa Adilah , Ekawati Nuraini , Hardian Hardian
Published: September 2023

Excessive sunlight exposure can lead to various minor skin disorders, including sunburn and the development of chronic skin malignancies. One effective preventive measure against these adverse effects is the use of sunscreen. Sunscreen can be derived from natural sources, such as the astaxanthin compound in giant tiger prawns (Penaeus monodon). This study aimed to formulate a sunscreen gel from giant tiger prawn head extract that meets good physical gel standards. Additionally, the study sought to determine the sun protection factor (SPF), erythema transmission level (%TE), and pigmentation transmission level (%TP) through in-vitro testing. The extraction process involved using coconut oil as a solvent using the maceration method. The resultant extract was then evaluated for SPF, %TE, and %TP values and subsequently formulated into gel variants with extract concentrations ranging from 1% to 10%. The findings of this investigation revealed that the giant tiger prawn head extract exhibited SPF, %TE, and %TP values of 8.0±0.11, 18.8±0.25%, and 21.7±0.73%, respectively, categorizing it as providing maximum protection, facilitating fast tanning, and acting as a sunblock. The gel formula containing 8% giant tiger prawn head extract demonstrated the highest sunscreen potential. In conclusion, this study highlights the promising potential of giant tiger prawn head extract as a natural sunscreen ingredient and identifies the optimal gel formula for effective sun protection.
PENGARUH PENGETAHUAN KEWIRAUSAHAAN DAN MOTIVASI BERWIRAUSAHA TERHADAP MINAT PESERTA WIRAUSAHA PADA DINAS KOPERASI DAN USAHA MIKRO KOTA DEPOK
Authors: Larasati Aulya Putri
Published: September 2023

This study is motivated by the influence of entrepreneurial knowledge and entrepreneurial motivation on the interest of entrepreneurial participants at the Depok City Cooperative and Micro Business Office. This is done to see how much the level of entrepreneurial knowledge and entrepreneurial motivation of entrepreneurial participants in Depok City. The research method used is quantitative method because it is a method used to determine the relationship or influence between two or more variables. Data collection techniques through observation, documentation, interviews and questionnaires distributed to 80 respondents using probability sampling techniques with simple random sampling. In analyzing the data, using Instrument Test, Classical Assumption Test and Hypothesis Test. The results showed that the coefficient of determination was 0.806, this means that 80.6% of the contribution of the Entrepreneurship Knowledge Variable (X1) and Entrepreneurial Motivation (X2) influenced the interest of entrepreneurial participants (Y). The conclusion from the data analysis above is that there is a positive and significant influence of Entrepreneurial Knowledge and Entrepreneurial Motivation on the Interest of Entrepreneurial Participants at the Depok City Cooperative and Micro Business Office.
Information Transparency in Public Stock Offering Transactions in the Capital Market (Case Study of the Prospectus for the Initial Public Offering of PT Media Nusantara Cipta (PT MNC) Shares in 2007)
Authors: Anindhita Tania Diah
Published: September 2023

This article aims to analyze the role and responsibility of the state through the Financial Services Authority and the Indonesia Stock Exchange in monitoring misleading company prospectuses and legal remedies that can be taken by investors if they suffer losses due to misleading prospectuses. The method used in the research is juridical normative to analyze the application related to the legal position of the prospectus as a way to fulfill information disclosure, and to obtain a complete picture of information disclosure through a prospectus that must be supervised by the Financial Services Authority and the Indonesia Stock Exchange, where if misleading is found in the prospectus which at any time can cause losses, investment actors can take criminal, civil, and administrative sanctions, in addition to investment actors can also pursue dispute resolution through alternative institutions outside the court that have been accommodated by Indonesian positive law.
Total Hip Arthroplasty in Patients Under 50 Years of Age: A Demographic and Treatment Outcome Study at Five Years Follow-Up
Authors: Banskota Bibek
Published: September 2023

Introduction: The indications for a total hip arthroplasty have expanded to younger, higher-demand patients with the advances and availability of durable biomaterials and improved accuracy and surgical techniques of prosthesis implantation. We present our data on the mid-term (five years) follow-up of a cohort of younger patients who underwent THA at our institution. Methodology: A retrospective study with prospective measurement of functional and patient satisfaction outcomes was conducted for patients under 50 years of age who had undergone a primary THA for any cause from 2010 to 2020. Study variables included demographic profile, etiology, prosthesis details, pre-and post-Harris Hip Scores (HHS), and the short-form SF-12 questionnaire. Results: Of 206 THAs performed during the study period, 62 (30.09%) THAs met the inclusion criteria. There were 60 patients with 62 hips, including 38 (63.33%) males and 22 (36.67%) females. The mean age was 39.2±7.92 years. The mean pre-operative HHS was 40.10±5.96. The mean follow-up period was 5.14±2.57 years. At the final evaluation, the mean HHS was 90.42±6.35, and SF-12 scores for physical (PS) and mental (MS) domains were 46.98±5.76 and 54.22±4.35, respectively. The HHS was excellent in 45 (72.58%) hips, good in 13 (20.96%) hips, fair in 2 (3.23%) hips, and poor in 2 (3.23%) hips. Conclusion: Good to excellent functional results were seen in 94% of patients at five years follow-up. Uncemented prostheses and ceramic-on-polyethylene bearing surfaces were preferred. Keywords: Adult, Arthroplasty, Hip, Replacement
Low-Code Conformational Searching
Authors: Wagen Corin
Published: September 2023

Today I want to engage in some shameless self-promotion and highlight how cctk, an open-source Python package that I develop and maintain with Eugene Kwan, can make conformational searching easy. Conformational searching is a really crucial task in computational chemistry, because pretty much everything else you do depends on having the correct structure in the computer.
Can National Research and Education Networks be a focal point for Research Software Engineers in some regions?
Authors: Bhogal Saranjeet Kaur
Published: September 2023

April, 2023 Author: Saranjeet Kaur Bhogal Introduction This blog explores my thoughts on the potential role of National Research and Education Networks (NRENs) in promoting the growth of a Research Software Engineering (RSE) community in Asia-Pacific. The significance of this lies in the fact that NRENs have not traditionally been significantly involved in supporting RSE groups in other regions.
Is America’s applied and basic research really “applied” or “basic”?
Authors: Gilliam Eric
Published: September 2023

America’s sub-optimal use of applied and basic grants is a major problem.
Matt Wedel will be yapping about Brachiosaurus at the Burpee Museum PaleoFest this year
Authors: Wedel Matt
Published: September 2023

Challenge: can you spot the  Iguanodon  pelvis in this photo? Big news: I will be at the Burpee Museum PaleoFest this year. I’m speaking at 10:30 AM on Sunday, March 8. The title of my talk is, “In the Footsteps of Giants: Finding and Excavating New Fossils of  Brachiosaurus  from the Lower Morrison Formation in Utah”. Brian Engh, John Foster, and ReBecca Hunt-Foster are all coauthors.
Shoebills lie tell the truth (and it’s disgusting)
Authors: Taylor Mike
Published: September 2023

Heinrich Mallison sent me this amazing photo, which he found unattributed on Facebook: Infuriatingly, I’ve not been able to track down an original source for this: searching for the text just finds a bunch of reposts on meme sites, and Google’s reverse image search just reports a bunch of hits on Reddit: The line-drawing shows some scientific understanding of bird skeletons, so I imagine someone put real thought into this and is unhappy
Research software is essential for research data, so how should governments respond?
Authors:   :(unav)
Published: September 2023

Image by Lightspring on Shutterstock. Cross-posted on 9 December 2021 by the Netherlands eScience Centre and the Software Sustainability Institute. DOI: 10.5281/zenodo.5762703 Research software is essential for research data, so how should governments respond? December 9, 2021 Authors: Michelle Barker, Neil Chue Hong, Daniel S. Katz, Mark Leggott, Andrew Treloar, Joris van Eijnatten,Selina Aragon. Research software is becoming increasingly valued in the research ecosystem, and international...
Gilliam and Girard on Scientific Innovation
Authors: Wagen Corin
Published: September 2023

Eric Gilliam, whose work on the history of MIT I highlighted before, has a nice piece looking at Irving Langmuir’s time at the General Electric Research Laboratory and how applied science can lead to advances in basic research.
I’ve been an idiot for three years; or, goodbye Brexit, hello Open Access!
Authors: Taylor Mike
Published: September 2023

If you check out the Shiny Digital Future page on this site, where we write about scholarly publishing, open access, open data and other such matters, you will see the following: 2009: 9 posts 2010: 5 posts 2011: 9 posts 2012: 116 posts! Woah! 2013: 75 posts 2014: 34 posts 2015: 31 posts 2016, up until the end of June: 34 posts 2016, July onwards: 8 posts 2017: 12 posts 2018: 6 posts 2019: 4 posts 2020: nothing yet.
Speech role models
Authors: Grieve-Smith Angus
Published: September 2023

John Murphy of Georgia State published an article about using non-native speakers, and specifically the Spanish actor Javier Bardem, as models for teaching English as a Second Language (ESL) or as a foreign language (EFL). Mura Nava tweeted a blog post from Robin Walker connecting Murphy’s work to similar work by Kenworthy and Jenkins, Peter Roach and others.
Global gathering of research software funders sets the agenda for supporting sustainable research software
Authors: Barker Michelle , Azzarà Valentina , Bakker Tom , de Boer Lieke , Hong Neil Chue , Cruz Maria , Drost Niels , van Eijnatten Joris , de Jong Maaike , Katz Daniel S. , Martinez-Ortiz Carlos , Pang Veronica
Published: September 2023

Image: Carole Goble presenting “Research Software Sustainability Takes a Village”. Photo credit: Annelies Verhelst  November, 2022  Authors: Michelle Barker, Valentina Azzarà, Tom Bakker, Lieke de Boer, Neil Chue Hong, Maria Cruz, Niels Drost, Joris van Eijnatten, Maaike de Jong, Daniel S. Katz, Carlos Martinez-Ortiz, Veronica Pang This blog post is being cross-posted by the Research Software Alliance and Netherlands eScience Center.
FAIR for Research Software (FAIR4RS): A summary
Authors: Alliance Research Software
Published: September 2023

August, 2022 Authors: Daniel S. Katz, Tom Honeyman, Paula Andrea Martinez, Michelle Barker, Leyla Jael Castro, Neil Chue Hong, Morane Gruenpeter, Jennifer Harrow, Anna-Lena Lamprecht, Carlos Martinez-Ortiz, Fotis Psomopoulos Introduction This blog post describes the need for, the work towards, and the recent completion of version 1.0 of the FAIR Principles for Research Software (FAIR4RS Principles v1.0). It also brief
OpenCitations and the Initiative for Open Citations: A Clarification
Authors: Shotton David M.
Published: September 2023

Some folk are confused, but OpenCitations and the Initiative for Open Citations, despite the similarity of their names, are two distinct organizations.
Wittgensteinian villages
Authors: Grieve-Smith Angus
Published: September 2023

Last month I guessed that when Ari Wallach said that Hastings-on-Hudson is a village “in a Wittgensteinian sense,” he meant that it was part of a family of things that are called “villages,” but don’t all share the same set of criteria. Wallach confirmed on Twitter that this was what he meant.
Expanding the mapping of the global research software community
Authors:   :(unav)
Published: September 2023

October, 2022 Authors: Michelle Barker Introduction The Research Software Alliance (ReSA) has been expanding their 2020 mapping of the international research software community landscape (Katz et al., 2020), to assist in fulfilling the ReSA mission to bring research software communities together to collaborate on the advancement of research software. We wanted to learn more about communities that share our vision that research software and those who develop and maintain it are recognised and...
Giraffe and human metacarpals compared
Authors: Wedel Matt
Published: September 2023

Here’s one of my most prized possessions: a cannon bone from a giraffe. I got it last fall from Necromance, a cool natural history store in LA. Originally they had a matched pair on display in the front window. Jessie Atterholt got one of them last summer, and I got the other a few months later.
The Dilophosaurus redescription by Marsh and Rowe is now freely available
Authors: Wedel Matt
Published: September 2023

The new monster redescription of  Dilophosaurus  by Adam Marsh and Tim Rowe came out in the Journal of Paleontology last week. I’m blogging about it now because the OA link just went live yesterday. So you can get this huge, important paper for free, at this link.
Evidence for the importance of research software
Authors:   :(unav)
Published: September 2023

DOI: 10.5281/zenodo.3884311 Cross-posted on 8 June 2020 by the Netherlands eScience Centre, Software Sustainability Institute, and US Research Software Sustainability Institute Photo from Wikimedia Evidence for the importance of research software June 8, 2020 Authors: Michelle Barker, Daniel S. Katz and Alejandra Gonzalez-Beltran This blog analyses work evidencing the importance of research software to research outcomes, to enable the research software community to find useful evidence to...
Meet our Founding Members!
Authors:   :(unav)
Published: September 2023

Image courtesy of Bongkarn Thanyakij from Pexels via canva. Cross-posted on 17 February 2022. Meet our Founding Members! February 17, 2022 The Research Software Alliance (ReSA) is honored to announce the six Founding Members of its international community: Australian Research Data Commons (ARDC): The ARDC enables the Australian research community and industry access to nationally significant, digital research infrastructure. Alfred P. Sloan Foundation: A not-for-profit, mission-driven...
The power of forgetfulness
Authors: Grieve-Smith Angus
Published: September 2023

Emily Brewster remarked the other day on the emergence and resurgence of irregular verb forms like “snuck,” “dreamt” and “awoke.” Stan Carey calls these forms unusual, and they are less common than innovative regular forms, but they are not surprising if you know the mechanisms underlying morphological change, in particular the role of forgetting and how we use analogy to overcome it. For years, many linguists assumed that all change happened
Supermarket theatres, oversupply of labour and new holders of capital in Greek theatre during the debt crisis (2010-2019)
Authors: Angelopoulos Tasos
Published: September 2023

Using Pierre Bourdieu's field methodology, the article tries to chart the rearrangements within the theatrical field in Greece during the decade of the economic crisis (2010-2019). The article identifies the distortions of the Greek theatrical market, such as the oversupply of labour and the replacement of theatres with an artistic imprint by the here called "supermarket" theatres. In addition, we follow the attempt of the "Stegi" by the Onassis Foundation to emerge as the central holder of the (symbolic) capital within this theatrical field, occupying the place Amore Theater used to have. Finally, it is concluded that the theatrical field - and because of the pandemic that followed the economic crisis - resists against fully mapping, as new initiatives and groupings are still taking place within it.
Research of social, demographic, material and cultural aspects of life of public university students in the Republic of Srpska
Authors: Trninić Duško
Published: September 2023

This paper presents socio-demographic, socio-economic, and socio-cultural aspects of a research into living conditions of public university students in the Republic of Srpska, with a view to designing their social and sociological profile. The research was conducted during the 2020/2021 academic year at both public universities of the Republic of Srpska, with the respondents coming from different faculties and scientific/scholarly fields. The results gained reveal that the majority of students do not leave parental homes during their academic studies and that it is their parents who financially support them and provide for their tuition fees. On average, the parents belong to middle-classes, with their monthly income not exceeding, in most cases, the amount of average salary in the Republic of Srpska for the period designated or, rarely, the amount of two or two and a half average salaries. The students follow the traditional living model and they are mostly religious, where the dominant denomination is that of the Serbian Orthodox Christian Church. There is a pronounced significance of the traditional family setting and patriarchal patterns of behaviour, given that the respondents maintain that they choose to discuss important life issues and private situations within their primary families and with their close relatives. The importance of family and family values is further accentuated in the respondents by the proclaimed life goals, since most of them claim that establishing and maintaning close (partner) relationships is on the top of priority list in their lives. With regard to the aforementioned, one can draw a conclusion that public university students in the Republic of Srpska are dependent upon both their families and their wider social community, with (post)modern processes of liberalisation, detraditionalisation, and individualisation having no significant impact on their collective and individual lives.
Implied external competences of the European Union
Authors: Dragišić Radmila
Published: September 2023

The anthological ERTA case is considered to be a case in which the contours of learning about the implicit external competence of the European Union have been developed. That logically based teaching, which has already been elaborated in detail so far, celebrated its 50th birthday in March 2021. Therefore, it seems justified to remind ourselves of it and explore the extent to which it is relevant today. At the center of our interest is the substantive determination of external implicit competencies, their origin and genesis at the level of the Union, as well as the scope of their application in the post-Lisbon period expressed through selected jurisprudence of the Court of Justice of the European Union. We use analytical and synthetic methods in our research, with content analysis and historical-comparative analysis occupying a central place within them. Ultimately, we conclude that the concise clarification of cases in which the Union has external jurisdiction further strengthens the need to constantly follow the interpretations given by the Court in the ERTA judgment, which can be fertile ground for an overly extensive assessment by that judicial body.
Geopolitical orientation of parties in Bosnia and Herzegovina
Authors: Simović Vlade , Zarić Ivan
Published: September 2023

Some time ago an anonymous commentator on one of the portals in Bosnia and Herzegovina wrote: 'The Serbian, Croatian, and Bosniak blocks of political parties are united only by Annex 4 of the Dayton Peace Agreement. Everything else separates them.' Such a general assessment seems unacceptable to researchers at first glance. Yet, anyone with a more profound knowledge of political parties in Bosnia and Herzegovina will largely agree with this thesis. It seems that the fate of the pluralistic space of Bosnia and Herzegovina, which has supervised sovereignty (through the action of the High Representative for Bosnia and Herzegovina) and an approved Constitution (imposed through the intervention of the United States of America in Dayton), is that it is not united by social values, by the basic political agreements of its elites, and not even by shared economic gain. An impossible state is the best diagnosis of Bosnia and Herzegovina, claimed by Nenad Kecmanović, and unstable and unfinished, claimed by almost all those informed on the situation in Bosnia and Herzegovina. The main thesis of this paper is that the geopolitical orientation of political parties in Bosnia and Herzegovina, which we investigate through their programmess and political practice, is a good way to show its internal antagonisms and the reasons for the impossibility of achieving unity, a stable and functional state. The conflict in Ukraine adds to the relevance of this paper, to which political parties and actors in Bosnia and Herzegovina heve expressed their respective stances. The paper is a methodological combination of two scientific fields: political theory and international relations.
From Theory to practice: monitoring mechanical power output dur-ing wheelchair field and court sports using inertial measurement units
Authors: Hoozemans Marco , Berger Monique , Veeger Dirkjan
Published: September 2023

An important performance determinant in wheelchair sports is the power exchanged between the athlete-wheelchair combination and the environment, in short, mechanical power. To monitor the mechanical power during wheelchair sports practice, inertial measurement units (IMUs) might be used. However, a well-founded and unambiguous theoretical framework that follows the dynamics of manual wheelchair propulsion is required to validly apply IMUs for mechanical power assessment in wheelchair sports. Such a framework does not yet exist. Therefore, this research has two goals. First, to present a theoretical framework that supports the use of IMUs to estimate power output via power balance equations. Second, to create a set of guidelines on how to use IMUs to monitor mechanical power during wheelchair propulsion supported by experimental data. After verifying the theoretical framework, an IMU model was defined. Subsequently, the validity of the IMU model and underlying assumptions was determined. Therefore, power was estimated from IMU data during wheelchair propulsion and was subsequently compared to gold standard optical motion capture data. Data was collected from eleven participants without wheelchair experience propelled an all-court sports wheelchair on a large treadmill. At the same time, kinematics were measured using two IMUs and an optical motion capture system. The results reveal that, with a proper drag or deceleration test, one IMU on the wheelchair frame and one IMU on the wheel axis, decent power estimations can be obtained in daily wheelchair (sports) practice. To conclude, the theoretical framework and the resulting IMU-based power is thus well suitable to estimate mechanical power during straight-line wheelchair propulsion in wheelchair court sports and daily wheelchair practice, and it is an important first step towards feasible power estimations in all wheelchair (sports) situations.
Conversational General College Enquiry Intelligent ChatBot
Authors: M Sowmiya , A Shakeela Joy , J Sahaya Jeniba
Published: September 2023

In place of direct interaction with a live college administration, a chat-bot is a software programme that is used to conduct an online chat conversation via text or text-to-voice. We provided a ChatBot that creates a dynamic Answer for online student inquiries in the suggested method. The ChatBot used by the Proposed System is powered by artificial intelligence. This suggested ChatBot recognises the student and teacher context that initiates the specific answer purpose. The desired reaction will be generated for the student and teacher because it is responding dynamically. The suggested method uses machine learning algorithms to train the ChatBot by observing different requests and responses from students and teachers. These days, chatbots are starting to be quite capable since artificial intelligence helps the human touch in every discussion, enables chatbots to understand users’ questions, and enables them to deliver accurate responses. The goal of this project is to decrease the requirement for several systems for various procedures and to lessen the reliance of an administration on humans. Developing a ChatBot over connected data presents a variety of difficulties, such as supporting numerous knowledge bases and comprehending student inquiries. We initially design and create an architecture to offer an interactive user experience in order to overcome these issues. In order to comprehend user intents and produce SPARQL queries, we also offer a machine learning approach based on intent classification and natural language understanding. For that, we must include enough specifics on the requirements for students and professors, including the availability of text books, staff timetables, student mark information, and semester outcomes.
Development of Counting Based Visual Question Answering System by Using Transformer and Pyramid Networks with Hybrid Deep Learning Model
Authors: S. Nigisha , K. Anugirba
Published: September 2023

Visual Question Answering (VQA) merges images and natural language processing, that enables machines to respond to queries about visual content with prowess by comprehending visual features and contextual cues in text. VQA aims to bridge the gap between human-like understanding and visual comprehension. Counting-based VQA is a specific subfield within VQA that focuses on answering questions related to counting objects or quantities in images. The objective of counting-based VQA is to develop algorithms and models capable of accurately answering questions that involve counting specific objects or quantities in visual data. Our Model consists of Bidirectional Encoder Representations from Transformers (BERT) to extract the texture features from the Question part and for the visual part, Feature Pyramid Network (FPN) is used to extract the deep features from images. Both the textual and visual features are integrated to form a combined set of features. These fused features are fed in to a hybrid model for answer prediction. This hybrid model is an integration of Gated Recurrent Unit (GRU) and One-Dimensional Convolutional Neural Network (1DCNN).
Skin Cancer Cell Detection Using Optimization Algorithms
Authors: S. T Sukanya
Published: September 2023

Skin cancer is a serious type of disease, malignant growth in particular, Basal Cell Carcinoma (BCC), Squamous Cell Carcinoma (SCC) and Melanoma, Melanoma is the riskiest in which endurance rate is extremely low. Melanoma can be detected earlier, potentially increasing survival rates. The skin malignant growth location innovation is comprehensively partitioned into four essential parts, viz., picture pre-processing which incorporates hair expulsion, declamor, honing, resize of the given skin picture, division which is utilized for portioning out the district of interest from the given picture. Segmentation can be done in a variety of ways. K-means, threshold in histogram, and other segmentation algorithms are some common ones. Features extraction from the segmented image and image classification using the segmented image’s features set for this purpose, a variety of classification algorithms can be utilized. Classification is performed by machine learning and deep learning algorithms in the most recent skin cancer detection technology. Support vector machine (SVM), feed forward artificial neural network, and deep convolutional neural network are the classification algorithms that are utilized the most frequently. This paper gives an alternate kinds of improvement calculations for skin malignant growth cell identification.
Effectively Analysis and Predict Students Performance and Other Evaluation
Authors: R. P Arya , S. B Anuja
Published: September 2023

The development of intelligent technologies gains popularity in the education field. Educational Data Mining (EDM) is a research field of data mining, which focuses on the application of data mining, machine learning and statistical methods. The clustering effect of K-means Algorithm is tested by discriminant analysis. K-means Algorithm improves the reliability of prediction results. The development of intelligent technologies gains popularity in the education field. The rapid growth of educational data indicates traditional processing methods may have limitations and distortion. Therefore, reconstructing the research technology of data mining in the education field has become increasingly prominent. In order to avoid unreasonable evaluation results and monitor the students’ future performance in advance, this paper comprehensively uses the relevant theories of clustering, discrimination and convolution neural network to analyze and predict students’ academic performance. Firstly, this paper proposes that the clustering-number determination is optimized by using a statistic which has never been used in the algorithm of K-means.
An Efficient of High-Speed and High precision Overlap-Free Karatsuba-Based Finite-Field Multiplier for FGPA Implementation
Authors: R. E Arun Kumar , S. Amutha
Published: September 2023

Finite field arithmetic is becoming increasingly a very prominent solution for calculations in many applications. In this paper, complexity and delay of six different multipliers (Mastrovito multiplier, Paar-Roelse multiplier, Massey- Omura multiplier, Hasan-Masoleh multiplier, Berlekamp multiplier and Karatsuba multiplier) are compared. Also this paper presents a modified multiplier based on Karatsuba multiplication algorithm. To optimize the Karatsuba multiplication algorithm, the product terms are splited into two alternative forms and all the terms are expressed in the repeated fashion. This Modified architecture saves the 14.9% computation time and it consumes 45.5% less slices than existing Karatsuba multiplier. The proposed architecture has been simulated and synthesized by Xilinx ISE design suite for Spartan & Vertex device family. The new architecture is Simple & easy. The proposed Modified Karatsuba Multiplier (MKM) is also applied to compute the circular convolution for DSP application. In Spartan3E FPGA device family, computation of 8-bit circular convolution using Modified Karatsuba Algorithm (MKA) is 26.5% faster than Karatsuba Algorithm (KA). It also consumes 61.7% less slices than existing KA based Convolution.
Real Time Face Recognition for Library Check in Check out System Using Deep Learning
Authors: G. D Gisna , S. T Sukanya
Published: September 2023

Face recognition is a way to identify or verify someone’s identity by using their face. Face recognition systems may be used to pick out humans in photographs, video, or in actual-time. The main objective of the project is to authenticate users including students, faculty and staff using their faces to maintain the data of those who are logged in and logged out from the library database. The student or faculty library login and logout information can be maintained in a smart way i.e. the count of the students and faculty as library users can be easily available and data of users such as entry and exit time will be stored. Face Recognition Phase can be done through Live Streaming. In previous days all the library login and logout information is stored in records manually which is a time taking process. There is a chance of data loss by maintaining books and it is difficult to maintain multiple records. Nowadays users are entering their identification details for check in and checkout to use the library. and RFID also uses in many library systems which comes under manually inserting the cards which is time taking procedure So the project mainly focuses on proposing a smart way to maintain faculty/student login and logout library information by using Convolution Neural Network (CNN) and also AWS is used in the project to securely store all the data on the cloud so that Database can access them from anywhere.
Load Distribution in Software Defined Networks for Enabling Big Data Tasks Scheduling
Authors: M Anand , S. B Anuja
Published: September 2023

Benefited from its reliability and convenience, biometric identification has become one of the most popular authentication technologies. Due to the sensitivity of biometric data, various privacy-preserving biometric identification protocols have been proposed. However, the low computational efficiency or the security vulnerabilities of these protocols limit their wide deployment in practice. To further improve the efficiency and enhance the security, in this project, propose two new privacy-preserving biometric identification outsourcing protocols. One mainly utilizes the efficient Householder transformation and permutation technique to realize the high-efficiency intention under the known candidate attack model. The other initializes a novel random split technique and combines it with the invertible linear transformation to achieve a higher security requirement under the known-plaintext attack model. Also, we argue the security of our proposed two protocols with a strict theoretical analysis and, by comparing them with the prior existing works, comprehensively evaluate their efficiency.
Smart Street Light Monitoring System in Cloud Computing
Authors: M. Mukesh , B. M. Ajay , M. Arun Prakash
Published: September 2023

Multifunctional and unique cloud-based Smart Street lighting control system with central management system (CMS) software. It is a perfect solution to manage large-scale outdoor lighting networks in order to control and monitor street lighting infrastructure while saving energy and reducing maintenance costs. Street Lighting CMS is just the first step of more sophisticated Smart City platform development process. Smart street lighting control system allows a city to schedule lights on or off easily and set dimming levels of lights so a city can provide the right level of lighting intelligently. Smart and intelligent street lighting control systems are designed primarily for energy efficiency. Cities using Smart Street lighting control system reduces their street lighting energy. Smart street lighting control systems accurately detect light failure and other maintenance problems in real time so malfunctions can be fixed quickly. This intelligent system provides the operator with web access for automatic or manual monitoring and control over illumination performance. Cities, public organizations, and industries around the world are joining the Smart City Initiative. One of the important components of Smart City is “Connected LIGHTING”. Cities, municipal corporations around the world are adopting the connected lighting solution by replacing their old street light infrastructure with the Internet of Things based lighting which brings more efficiency in energy consumption and operational issues. Smart Street Lighting solution gives cities and municipalities the capability to remotely monitor & control the street lights in a much effective way. Our Smart Street Lighting Solution CCMS (Centralized Control and Monitoring System). CCMS is the product, designed indigenously by us for Street Lighting Projects in India to control lighting schedule, monitor energy consumption and faults. With CCMS, the street lights can be scheduled according to the time of the day or as per predefined lighting requirements. Our smart street lighting solution can be used for highways, urban/rural streets, sports arenas, buildings, parks, and industries to monitor and control the lighting system from anywhere.
Quality Data Sharing Platform for Aviation Suppliers Using Blockchain Process
Authors: S. P Sanjai , R Gini
Published: September 2023

The aviation industry is characterized by complex supply chains, which can pose challenges for ensuring quality processes across all participants. To address this issue, a blockchain-based process quality data sharing platform has been proposed to improve the traceability and transparency of quality-related information among aviation suppliers. This platform allows suppliers to securely share process quality data, such as inspection results and certifications, with their partners in the supply chain. The platform utilizes a permissioned blockchain network, ensuring that only authorized parties have access to the shared data. Smart contracts are used to automate the validation and verification of data, reducing the need for manual intervention and streamlining the quality assurance process. The platform also incorporates a user-friendly interface to enhance ease of use and accessibility. Overall, the proposed platform has the potential to increase efficiency and trust in aviation supply chains by improving the sharing and verification of process quality data.
Detection of Diabetic Retinopathy by Using Convolutional Neural Network
Authors: J Abisha , P. S Jeba
Published: September 2023

This project proposes machine learning methods for detecting diabetic retinopathy by using CNN. The classification of retinal lesions from non-lesions using CNN classifiers is examined. Retinal retina images can be evaluated using machine learning-based medical image analysis. The image is pre-processed using the Contrast limited adaptive histogram equalization (CLAHE) filter. CLAHE is used to improve the visibility level of blurry images. The image is segmented using the FCM method to generate an appropriate threshold value for data segmentation. The method of feature extraction is implemented by RLC. The Gray Level Co – occurrence Matrix (GLCM) method is used for extracting statistical skin parameters in a given direction and distance. The use of convolutional neural network (CNN) algorithms has facilitated the early identification of diabetic retinopathy. This project provides excellent specificity and sensitivity for classifying images as with or without diabetic retinopathy. This project is implemented using MATLAB software.
Experimental Study on Concrete with Partial Replacement of Fine Aggregate with Locally Available Soil and Coarse Aggregate with E-Waste
Authors: P. T Abhila Raj
Published: September 2023

Concrete is the most preferred and the single largest building material used by the construction industry. The main constituents of concrete are cement, fine aggregate and coarse aggregate. This study was carried out to determine the possibilities of using locally available soil we get it from locally by construction sites, soil from digs and the coarse aggregate as the e-waste. The management and recycling of E-plastic waste is \rapidly growing as it is a valuable resource of IT industries and it is very hazardous substances and with low recycling rate. The utilization of e plastic waste material is partial solution to environmental and ecological problems. As the experimental study is made on the utilization of E-waste particles as coarse aggregate and locally available soil as fine aggregate in concrete with the partial replacement ranging from 0%, 10%, 20% and 30% on the strength criteria of M30 grade concrete. The various initial tests such as sieve analysis test, specific gravity test, water absorption, aggregate impact tests must be conduct for coarse aggregate and fine aggregate. The material which get high flexural strength is tested on beam load testing machine. Also, fineness test, consistency test, initial and final testing time test for cement should be conducted.
Breast Cancer Detection Using Machine Learning Classifier
Authors: M. D Tharun Kumar , G. Soniya Priyatharsini , S. Geetha
Published: September 2023

Breast cancer is one of the main causes of cancer death worldwide. Early diagnostics significantly increases the chances of correct treatment and survival, but this process is tedious and often leads to a disagreement between pathologists. The diagnosis is based on the qualification of histopathologist, who will look for abnormal cells. However, if the histopathologist is not well-trained, this may lead to wrong diagnosis. Computer- aided diagnosis systems showed potential for improving the diagnostic accuracy. In this work, we develop the computational approach based on deep convolution neural networks for breast cancer histology image classification. Hematoxylin and eosin stained breast histology microscopy image dataset is provided as a part of the ICIAR 2018 Grand Challenge on Breast Cancer Histology Images. Our approach utilizes several deep neural network architectures. Convolutional Neural Networks for Binary class classification and multiclass classification. The Binary class classification is used to classify the cancer cells to malignant and benign. And the Multiclass classification these classes into different subclasses like adenosis, fibroadenoma, phyllodes tumour, tabular adenoma for benign class and ductal carcinoma, lobular carcinoma, mucinous carcinoma, papillary carcinoma for malignant class. The result will show Convolutional Neural Networks outperformed the handcrafted feature based classification with high accuracy in both binary and multiclass classification.
IOT Integration in two-axis sun tracking system with LDR sensors in a Wheatstone bridge Circuit
Authors: D Jaslin Sindhya , R. M. Priyanka
Published: September 2023

Nowadays, using photovoltaic (PV) cells is among the power generation methods that absorb solar energy and convert it into electrical energy. The sun moves from east to west during the day and its radiation angle changes relative to the Earth in different seasons. So, the output power of PV panels changes as well. The output power of PV panels increases by being located in a position perpendicular to the angle of the sun’s rays. This study aims to design and implement a dual-axis solar tracker (DAST) to increase the output power of the PV panel. This simple system has high efficiency and adjusts the PV panel based on solar radiation by moving simultaneously on two axes. An analog controller is used for its control system. DAST control system is a closed-loop system that uses Wheatstone bridge circuit function along with light-dependent resistors (LDRs). A small DAST was designed and built to validate the proposed system, the performance of which was verified. Based on the experiments, I-V and P-V specifications were obtained. Finally, it was found that the output power of the PV panel using solar tracker was higher than that of the fixed panel. Further this paper discusses the implementation of IoT (Internet of Things) for maneuvering and remote monitoring the orientation of the solar panel from anywhere.
Deep Intrusion Detection for DOS and DDOS Attacks Using LSTM and Deep Autoencoder Neural Network
Authors: S. P Sujini , G. N AnbuShamini , J. S Prija
Published: September 2023

Early detection of network intrusions is a very important factor in network security. However, most studies of network intrusion detection systems utilize features for full sessions, making it difficult to detect intrusions before a session ends. To solve this problem, the proposed method uses packet data for features to determine if packets are malicious traffic. Such an approach inevitably increases the probability of falsely detecting normal packets as an intrusion or an intrusion as normal traffic for the initial session. As a solution, the proposed method learns the patterns of packets that are unhelpful in order to classify network intrusions and benign sessions. To this end, a new training dataset for Generative Adversarial Network (GAN) is created using misclassified data from an original training dataset by the LSTM-DNN model trained using the original one. The GAN trained with this dataset has ability to determine whether the currently received packet can be accurately classified in the LSTM-DNN. If the GAN determines that the packet cannot be classified correctly, the detection process is canceled and will be tried again when the next packet is received. Meticulously designed classification algorithm based on LSTM-DNN and validation model using GAN enable the proposed algorithm to accurately perform network intrusion detection in real time without session termination or delay time for collecting a certain number of packets. Additionally, a Deep Autoencoder neural network is utilized to automatically extract relevant features from the network traffic. This unsupervised learning approach enables the system to adapt to evolving attack patterns.
Handover in 5G Heterogeneous Wireless Networks: A Comprehensive Review
Authors: A. Maheswari
Published: September 2023

Handover is a critical feature of wireless networks that allows mobile devices to seamlessly switch between access points as they move around. In 5G heterogeneous wireless networks (HetNets), handover is even more challenging due to the high density of base stations and the variety of radio access technologies (RATs) that may be used. There are a number of challenges that must be addressed in order to design efficient and reliable handover mechanisms for 5G HetNets. These challenges include: Heterogeneity of the network, Multi-RAT support, Mobility of users. Despite these challenges, there are a number of promising research directions for handover in 5G HetNets. These research directions include: Machine learning, Heterogeneous signaling, Network slicing. The research on handover in 5G HetNets is still in its early stages. However, there is a lot of promising research being done in this area. As 5G networks become more widespread, the need for efficient and reliable handover mechanisms will become even more important.
Indian Paper Currency Recognition Framework for Blind and Visually Impaired People using Deep Learning Model
Authors: R. B Anumol , S. B Anuja
Published: September 2023

Currency recognition has always been a troublesome task for blind and visually impaired people (BVIP). Most of the current Indian legal tenders resemble in size, thus making the identification process more difficult. Automated paper currency recognition system, issues such as folded or partial views, uneven illumination, and background clutter make it non-trivial and challenging. This Paper proposes deep learning model for assisting BVIP in recognizing the Indian paper currency denomination. This Paper exploits the latent embeddings of variational auto encoders combined with IPCRNet. Two encoders are trained on currency images to generate two feature maps. The IPCRNet is based on dense connection, Multi-Dilation, and Depth-wise separable convolution layers. Contextual Block (CB) in the backend utilizing the dense connection and dilation scheme in depth-wise separable convolutional layers .The novel contextual part utilizes a depthwise separable convolution for reducing network computations .The multi-dilation scheme offers an enlarged receptive field without increasing the parameters.