bluuebunny/crossref_metadata_2025 huggingface dataset:
Teacher’s awareness to develop student cyber security: A Case Study
Authors: Et. al. Osman Sirajeldeen Ahmed ,
Published: January 2024

This study aims to investigate the awareness level among school teachers of their students’ cybersecurity. The teachers’ perception of their students’ cybersecurity awareness was examined based on a case study of the emirate of Ajman private schools in UAE. A survey was conducted of a sample of school teachers at 29 private schools in Ajman. Stratified random sample for schools in the Emirate of Ajman have been used and then a systematic random sample of 172 teachers in the schools were chosen as the target population representation. Results of the study indicate that the level of awareness of school teachers towards their students’ protection and safety in 13 variables that had been studied is increased and this awareness has decreased in eight other variables, the study also reveals that there is a statistically significant relationship between the variable of specialization, and teachers’ awareness towards their students’ cybersecurity driven mainly by the signiﬁcant differences between the average responses of mathematics teachers and the Arabic language in favor of mathematics teachers, and the difference between the average responses of social science teachers and the Arabic language in favor of social science teachers, and the difference between the average responses of social science teachers and the English language in favor of social science teachers.
Traffic Flow Prediction Using An Improved Fuzzy Convolutional LSTM Algorithm
Authors: Et. al. Mrs.B.Karthika,
Published: January 2024

Intelligent transportation systems (ITS), is producing large amounts of data. The generated data is used for designing smart  transportation systems. These raw data must be converted to valuable information for transportation planning and management. Deep learning algorithms  have a variety of applications. In this paper, an improved fuzzy convolutional approach is proposed. The proposed model is designed to learn traffic flow features layer by layer through a supervised learning, non-parametric algorithm. The traffic information has been captured from UCI machine learning repository and experimented with a proposed algorithm to capture traffic flow information.The proposed algorithm is evaluated against prediction  metrics such as root mean square error (RMSE), mean square error (MSE), and mean absolute error (MAE).The proposed method stands out other existing algorithms and has superior performance in traffic flow forecasting.
Job Stress of IT Employees in Tamilnadu – An Empirical Study
Authors: Et. al. M. Mugil,
Published: January 2024

Stress is a part of our work. Beyond the threshold level, stress causes adverse effect on the physical and mental wellbeing of the workers, whatever may be the work done, proves the research studies. Information Technology (IT) industry employees’ jobs, though financially is attractive when compared with other industries, the experienced level of stress is significant greater. In the context of changing policies, globalization, liberalization, competition, downsizing, and arrival of brand-new innovation and technologies work becomes stressful naturally. The present study aims at addressing the problems of IT employees related to job stress. The present study attempted to throw light on the various problems of job stress among IT employees in Chennai city at Tamilnadu State. The tool “Job Stress Scale” was used to measure the stress in terms of ten categories of stressors: Role overload, Role ambiguity, Role conflict, Unreasonable group and political pressure, Responsibility for persons, Under participation, Powerlessness, Poor peer relations, Low status, and Strenuous working conditions. The 103 employees were drawn as a sample from five leading IT companies, occupying various positions. The data were obtained and analysed using correlational, Chi-Square, ‘t’ test, ANOVA and Factor Analysis. The results revealed that role conflict arose because of poor peer-relations. There was significant relationship between marital status of employees and job stress. There was association between role overload and responsibility for persons. Significant difference was found between married and unmarried employees with regard to job stress. No difference was found between different categories of employees. This study throws light on the problems related to job stress among IT employees that would be helpful in managing stress, evolving new policies and act as source for further research.
Effect Of Cerebrospinal Fluid Dynamics With Hydrocephalus In Porous Medium
Authors: Et. al. B.Hemalatha,
Published: January 2024

Hydrocephalus is an excess of fluid in the cavities deep within the brain.It can lead to disturbances of the cerebrospinal fluid (CSF) flow in the hollow places of the brain. This paper presents a Mathematical model based on the principles of biofluid dynamics also this model predict the velocity of fluid flow along with its pressure and the amount of fluid tunneledtoanother body part using lumbar puncture throughout the brain ventricular pathways consistent with intracranial pressure measurements. We analyse the flow of hydrocephalus through porous medium of cerebrospinal fluid. Analytical results with respect to various parameters are presented graphically using MATLAB
A Robustand Dynamic Fault Detectionand Classficationof Semi-Conductorsusing Logistic Regression
Authors: Et. al. Dr. K. Mohan Prasad,
Published: January 2024

In the semiconductor industry, the singular goal for automatic graphical assessment is to detect and categorize fabrication defects exploiting advanced image processing practices. The manufacturer main aim to detect the patterns at the quickest feasible recognition of defect models accepts quality management and computerization of production supply chains, companies benefit from a boosted yield and lowered production costs. Because conventional image processing systems are constrained in their capability to detect innovative defect models, and artificial intelligence methodology every so often involve a incredible amount of computational determination, this research presents a innovative deep neural network-based hybrid method.
Tasheel Pedagogy of Topsy-Turvy Lexicons
Authors: Et. al. Ms.B.Kamala,
Published: January 2024

Dyslexia is a learning disorder that involves difficulty in reading due to problems identifying speech sounds and learning how they relate to letters and words (decoding). It is identified that 5% to 17% of the world population are dyslexics. They tend to possess serious problems like identifying speech sounds and learning how they relate to letters and words, processing graphic symbols. They find it hard to spell correctly, read and write fluently compared to other children of their age. To overcome the stumbling blocks in learning for dyslexics, we develop a web application, that concentrates on helping dyslexic children to learn, read and write alphabets. This paper briefs upon employing cumulative and adaptive techniques for learning and evaluate the dyslexic students based on 3 criterions namely- visual, phonology and memory. The three modules are as follows- (i) Catapult (ii) Unleash ravel

(iii)         Cumulative digest. Within the Catapult module, the child is taught to read and write an alphabet by a video. It are often played until the child is confident. Next within the Unleash ravel module, three tests are conducted to instill various micro-skills. Firstly, the child is asked to write down the alphabet that's instructed on a piece of paper. It's captured and evaluated using OCR. Secondly, the kid is asked to spell the alphabet that is displayed on the screen and record it. Eventually, the child is asked to sequentially identify the alphabet in question from a paragraph. It's done to enhance the visual tracking, visual discrimination skills of the child . When the child moves to further chapters, the previous lessons are cumulatively added to the Unleash ravel to enhance memory. The Cumulative Digest gives the report of the child’s performance in three categories analyzing the micro-skills using machine learning. They are Visual, Phonology and Memory. A threshold is set for each test and if the kid score below the edge then tests are made to be adaptive in order that the child faces more exercises within the part he/she is under performing at. Thus, the TPTL application helps dyslexics to learn, test and analyze their skills which will improve their letter recognition, visual tracking, visual discrimination, visual memory, auditory memory and auditory discrimination.
Medical Image Segmentation Of Wbc Using Improved Dual Threshold Method
Authors: Et. al. Mrs.M. Anline Rejula,
Published: January 2024

segmentation of medical images is a critical method for the proper identification and diagnosis of diseases. Because of the distinction between them, the segmentation of the WBCs is an important issue.The automatic diagnosis of multiple white blood cell or leukocyte disorders plays a significant role. The suggested work is an Improved Dual-Threshold approach based on a variation of white blood cell (WBC) segmentation of different color spaces. The improved dual-threshold segmentation method consists of three stages: the pre-processing stage, the segmentation step of the threshold, and the post-procurement phase. For additional handling, two images are obtained: one is a contrast-stretched grey image and the other is an H part image from the altered colour space of YCbCr in the pre-processing step. The three main steps comprising the threshold segmentation are context separation, red blood cell extraction, and the finest threshold selection.The single-threshold method in RGB colour space is involved in the process of separation of Red Blood Cells (RBC), the H channel image is used in the step of background extraction. The Golden Section search method is used for the best threshold selection item. Finally, to eliminate the noise and the unfinished

WBCs, median filtering and arithmetical morphology are used in the post-processing stage. The image data collection for Acute Lymphoblastic Leukaemia (ALL) is used to test and segment irregular cells from test data using an overall accuracy. Compared to the current segmentation outcome, the implemented segmentation approach shows better precision performance.
Image Compression based on Octagon Based Intra Prediction
Authors: Et. al. S.Anitha,
Published: January 2024

Recently image coding has been an important research area in many fields. Various compression algorithms have been developed in different ways for image compression. One of the ways in image coding is prediction based image coding. This paper proposes a novel technique for finding the prediction of a current pixel. Instead of traditional four mode prediction, this paper proposes an eight mode prediction scheme. The proposed method is tested with nine traditional images and compared with four recent methods. Experimental results substantially proved that the proposed method is better than recent methods..
A Photovoltaic Based Multilevel Inverter Fed Induction Motor Drive
Authors: Et. al. M. Raja Nayak,
Published: January 2024

This paper proposes two new DC / AC multi-level hybrid bidirectional cells. PV MPPT method is used for the first cell. The second cell is called 5L – Parallel – BV (PBV) and has 5 voltage levels (5L). It is based on two parallel link groups of stacked HF cells, with two coupled inductors (CIs) and one simple cell. The use of two CIs is an interesting feature of the 5L – PBV cell. These CIs only operate on a half-cycle alternatively, with the CI inductor winding currents naturally set at 0. This paper is linked to the 3-phase 5L-PBV serial photovoltaic module. The advantage is that, with no output distortion of AC voltage due to unbalanced dc unit stress, the voltage of each DC in a multi-level inverter can be controlled. This theory allows PV system MPPT control to be easily carried out and the electricity produced overall is increased. The recent development of multiple-level inverter technology has been very important in the field of current control and high power. By using these inverters, we can adjust the induction motor's frequency levels without changing the input power. This article presents an experimental analysis and calculation of the bearing power for the 3-phase Induction motor linked to the 5L – PBV inverter circuit in three phases. The proposed switching cell requires a new three-stage, multi-level inverter. Finally, the induction motor is connected to the 3 phase multi-phase inverter output. Through the use of the photovoltaic cell, the speed and strength of the electromagnetic torque are controlled. The layout is an input source for the PV induction engine. The results are checked using the software MATLAB Simulink
The Moderation Effect of e-Trust and Big Data Quality in e-Grocery: An Empirical Research from Outside of Java Island.
Authors: Et. al. Dendy Pramudito,
Published: January 2024

E-grocery is the next big thing that change grocery retail landscape. Even in Indonesia still in the pilot phase towards success, e-grocers have started to retain e-loyalty of their customers. Although e-loyalty in e-grocery is important but it is less explored in e-commerce literature. Big data as part of industry 4.0 has been utilized in many retail include e-grocery and it plays important role to understand of consumer motivation and attract new customers. The purpose of this paper is to investigate the effect of e-trust and big data quality as moderating variable that help in building e-loyalty towards e-grocery business. An online survey was distributed to more than 130 respondents from many major cities outside of Java Island in Indonesia. Structural equation modeling was used and its results reflect the impact on e-loyalty. The main findings of this research are related with the importance of big data quality whether strengthen or not the relation between e-tailing quality and consumer motivation as antecedents of e-satisfaction that fostering e-loyalty in e-grocery business..
Understanding Intuitive Thinkingin the classroom of the 21st century
learner
Authors: Chopra Arti
Published: January 2024

The ushering in of 21st century has on one hand increased the challenges for the
learners and on the other hand enhanced awareness of competencies & skills. With the
emergent need to acquire optimum employability skills, outcome-based education is much
in demand. Teachers and parents can give an eminent gift to their children by letting
them adopt some supportive behaviors to enhance intuition.It is believed that intuition
can pre-dominantly serve decision-making, problem-solving and creativity (Dane &
Pratt,2009) as intuition can spontaneously generate ideas, alternatives or solutions
(Sadler-Smith, 2004). Therefore, intuition seems indispensable to be used in teaching
learning pedagogy. The extent to which one is able to access and utilize the
non-conscious mind (Strick &Dijksterhuis, 2011), decides the effectiveness of
intuition, and some experts argue that this can be enhanced (e.g.,Tomasino, 2011).
Thispaper explores intuitive behavior of learner and teacher and an attempt to integrate
strategies to enhance learning capacities. An attempt is made to view Intuition help
teachers to sense pupils’ needs, engage more easily and effortlessly with them, and
prevent conflicts.
Dual Bands of Substrate Integrated Waveguide Antennas for 5G Applications
Authors: Et. al. Sarah Majid Hameed,
Published: January 2024

For K-band applications, this article presents a dual band circular slot fixed on a substrate integrated waveguide (SIW) antenna. The simulation result of the antenna includes of a micro strip probe with two rounded slots put in on the top of the radiation plane and located one on top of another for increased bandwidth. This probe was intended with a “dielectric constant” of 2.2 as well as a thickness of 1.5 mm on a Roger layer. Better antenna vibrates at 23.43 GHZ and 30.16 GHZ with a fractional bandwidth of 2.9 GHZ and 1.1 GHZ, consequently. The peak gain attained is about (6.63 and 6.09 dB) above the working frequencies, united. This makes it perfect for K and Ka applications with strong corresponding and returns loss features. The analysis and construction assessment of the proposed probe was led by the EM simulator, CST Microwave Studio
A Comparative Study on Security and privacy challenges in Smart cities
Authors: Et. al. Divya,
Published: January 2024

Blockchain is one of the most recent organization based advancements, which will fundamentally affect most businesses including the travel industry. Despite the fact that blockchain innovation is at the outset phase of improvement, apparatuses like digital currencies, keen agreements, and Decentralized Applications have started to impact the travel industry exchanges. This paper makes an endeavor to feature the critical attributes of blockchain innovation related to the Smart city/the travel industry structure while making suggestions of how the innovation would develop and impact the business. Significant issues identified with the innovation just as difficulties are likewise talked about, including a few misinterpretations
Educational Challenges Of Transgender
Authors: Et. al. M. Gnana Kamali,
Published: January 2024

The right to choose one’s gender identity is an essential part to lead a life with dignity which again falls under the ambit of Article 21. Transgender persons are deprived of social and cultural participation and hence they have restricted access to education, health care and public places which further deprives them of the Constitutional guarantee of equality before law and equal protection of laws. It has also been noticed that the community also faces discrimination as they are not given the right to contest election, right to vote (Article 326), employment, to get licenses, etc. and in effect, they are treated as outcast and untouchable. Section-21  makes  provision  that  all  Government  institutions  of  primary,  secondary  and higher education and all primary, secondary and higher education institutions receiving aid from the Government shall reserve two percent of the total seats in each class or course for transgender  persons
Consumer behaviour in the bottom level of Pyramid markets with reference to Urban segments
Authors: Et. al. Mr. Prabhakara Murthy. M,
Published: January 2024

The ‘bottom of the pyramid’ approach, by C. K Prahalad, proposed that ‘marketing to the poor in increasing countries is the best way to instantaneously progress emergent economies and business profits’ (Prahalad, 2004). Firms are ideally well positioned to seek the fortune at the bottom of the pyramid due to their compensations in both scale and scope. As recent research in this area argues, the rural bottom of the pyramid (BOP) is dispersed, distant, extremely poor, heterogeneous and mostly illiterate. Operating in this segment is also physically, economically, and politically risky. A more realistic and sustainable alternative is to target the urban BOP.  Although research in this area is relatively new, most of the work done is towards the supply side of the problem. The research done so far has largely remained silent on the demand or the consumption side of the BOP. The thesis elaborately explores the consumer or demand side of the Bottom of the Pyramid concept specifically focusing on the urban BOP. This importance of this study is twofold; firstly, it takes a more realistic approach towards the BOP by eliminating the dynamic barriers of the rural BOP. This will encourage broader business engagement. Secondly, this is one of the first few empirical studies that has been conducted with the motivation to understand the consumer behaviour of the urban BOP market especially with an Indian context.
A Review On Protection Against Fileless Malware Attacks Using Gateway
Authors: Et. al. Dr. Ronak Panchal,
Published: January 2024

File less attacks cause immense problems for the users of the computer system as these attacks cannot be easily detected by the system users and remain invisible while cursing tremendous amounts of damage to the system. These attacks can even lead to monetary losses of the users while making banking transactions and hence leads to the loss of personal data. Cyber security is being provided by providing protection in income traffic which is done by the scanning of the data that is being taken from the online resources. There are different types of malware present, and hence security level should also vary based on the level of attacks that are being provided by the system. Antivirus is being developed by Norton, Kaspersky and VMware that provides protection against the file less malware that is developed in the system without the prior consent of the users and hence causing harm to the user system.
Recurrent network-based hybrid acoustic model for Automatic Speech Recognition
Authors: Et. al. M.C.Shunmugapriya,
Published: January 2024

Speech is a key means of communication. Nowadays, speech is becoming a more common, if not standard, interface to technology. This will be seen within the trend of technology changes over the years. Increasingly, voice is employed to regulate programs, appliances and private devices within homes, cars, workplaces, and public spaces through smartphones and residential assistant devices using Amazon's Alexa, Google's Assistant and Apple's Siri, and other proliferating technologies. This is often achievable with the help of Automatic Speech Recognition (ASR). Automatic Speech Recognition is a process that accurately translates spoken utterances into text. These technologies enable machines to reply correctly and reliably to human voices and supply useful and valuable services. As communicating with computer is quicker using voice instead of using keyboard, so people will prefer such system. Communication among the person is dominated by speech, therefore it’s natural for people to expect voice interfaces with computer. This can be accomplished by developing speech to text which allows computer to translate voice request and dictation into text. The three models in traditional ASR system are acoustic model, language model and lexicon model. The challenges involved in Automatic Speech Recognition are different styles of speech, environment which include background noise and also accent of speaker. To mitigate these challenges, deep learning models are utilized. The main idea is to analyses features of input audio signals such as spectrogram and MFCC and to develop cutting edge deep learning models. The proposed end-to-end model achieved an error rate of 0.60 on Librispeech dataset.
DDLS: Distributed Deep Learning Systems: A Review
Authors: Et. al. Najdavan Abduljawad Kako,
Published: January 2024

The clustered deep learning systems practice deep neural model networks with a cluster pooled resources aid. Distributed profound learning systems engineers should make multiple choices to process their diverse workloads successfully in their selected environment. Combined with the cluster bandwidth constraints, the abundance of GPU-based deep learning, the ever-greater size of data sets, and deep neural network models would entail developing high-quality models by distributed, profound learning systems designers. Because of their extensive lists of features and architectural deviations, it is not easy to compare distributed deep learning systems side by side. By examining the overall properties of deep learning models and how these workloads can be expanded into a cluster to carry out collective algorithm testing, the fundamental principles at work are shed when training a deep neural network in an isolated machinery cluster. Different techniques been addressed which are used by today's distributed deep learning systems and discuss their consequences. In order to conceptualize and compare deep-level structures, different methods have been developed by previous works to deep-level systems spread DDLS. Indeed, this paper addressed them to be more clearance for the readers.
Comparison of NOx for Diesel and Waste Cooking Oil Biodiesel
Authors: Et. al. Adhirath Mandal,
Published: January 2024

Transportation, industrial, commercial, agricultural and domestic sector mainly relies and uses diesel fuel to produce mechanical energy or power. Alternative fuels have also been introduced and using alternative fuels, continues to be a challenge. Biodiesel being a part of the alternative fuel, obtained from animal fat and vegetable oil, good alternative to conventional diesel. Popularity of biodiesel all of the world have recently increased because of its renewability, biodegradability, non-toxic, easy availability and better emission. For the use of biodiesel, engine modification is not needed. It is also free from Sulphur and aromatics, which helps in reducing exhaust emission, compared to conventional gasoline and also renders same fuel efficiency. For the use of biodiesel, engine modification is not needed. It is also free from Sulphur and aromatics, which helps in reducing exhaust emission, compared to conventional gasoline and also renders same fuel efficiency. Biodiesel could be blended in any ratio with the diesel and can also be used directly in the engine. Generally the price of raw edible oil are high and using them to produce biodiesel increase the price of the biodiesel. Biodiesel costs, 75-90% of the raw biodiesel. Because of the increasing cost of production of the biodiesel, use of waste cooking oil in the production of biodiesel would help in reducing the cost and would be a sustainable solution. It is sad that the waste cooking oil is discarded in the drain. Disposal of the waste cooking oil can lead to blockage, smell and environmental pollution. This paper simulates the NOx emission for Diesel and waste cooking oil biodiesel.
Identity is a Fragmentary System
Authors: Et. al. Nour Majid Ibrahim Hammad,
Published: January 2024

Identity is one of the most important concepts dealt with in most recent studies, because it expresses the existence and belonging of the individual, and it is an integral part of his being, which he derives from the society to which he belongs. Identity is subjected to some difficulties and problems such as its fragmentation and tearing, and behind that stands several circumstances that led it to These conflicts, therefore, were the focus of attention of modern studies, and the novel has the largest share in this aspect in order to understand its importance, especially if it is related to the Arab identity based on Arabism, Islam and authenticity represented by customs, traditions, customs ... etc.

The value of identity is evident in cultural studies that search for the texts of the text, uncover what is silent about it and what the discourse encircles in terms of the consistency of the context, and shed light on those cultural systems that have become fragmented in that identity and led to its fragmentation and tearing. For researchers and scholars to investigate its importance and its role in relying on the status of that identity and its specificity, and after that we stood on the procedural mulch to search for those cultural systems that have subsided behind the narrative texts in a way that is difficult to detect except through in-depth cultural reading.
System Characteristics and Behavioural Intention to Use E-Learning
Authors: Et. al. Alaa S. Jameel,
Published: January 2024

Amid the COVID-19 pandemic, most universities worldwide are forced to shift to distance learning and online learning. The purpose of this study is to examine the impact of information quality (IQ), system quality (SYQ) and service quality (SEQ) on perceived ease of use (PEOU) and perceived usability (PU), the impact of PEOU on PU, and the impact of PEOU and PU on behavioural intention to use e-learning. Questionnaires were distributed to the undergraduate students of Cihan University Erbil, and 238 valid questioners were returned. The results indicated the system characteristics, namely SYQ and IQ, significantly impacted PU. In contrast, SYQ and IQ had an insignificant effect on BI to use e-learning. Besides,  SEQ had a significant impact on PEOU and an insignificant impact on PU. Additionally, PEOU significantly impacted PU, while PEOU and PU significantly impacted BI to use e-learning. The current research has shown that the intention of implementing an e-learning system for university students is to investigate the student’s intentions and objectives.
Systematic Analysis and Future Research Directions in Artificial Intelligence for Marketing
Authors: Et. al. Worakamol Wisetsri,
Published: January 2024

Disruptive technologies like the internet of things, big data analytics, blockchain, and artificial intelligence have transformed how businesses operate. Artificial intelligence (AI) is the most recent technological disruptor and has enormous marketing transformation potential. Practitioners all over the world are attempting to determine which AI solutions are best suited to their marketing needs. A systematic literature review, on the other hand, can highlight the importance of artificial intelligence (AI) in marketing and point the way for future research. The goal of this study is to provide a comprehensive review of AI in marketing by analysing extant literature published between 1982 and 2020 using bibliometric, conceptual, and intellectual network analysis. The performance of the scientific actors, such as the most relevant authors and sources, was identified through a comprehensive review of 1,584 papers. Furthermore, the conceptual and intellectual network was revealed through co-citation and co-occurrence analysis. The Louvain algorithm was used to cluster data and identify research sub-themes and future research directions in order to expand AI in marketing.
Loan as a backbone for Agriculture: Evidence from Banks
Authors: Et. al. Abhishek.T,
Published: January 2024

The role of Agricultural financing is critical, as are the instruments utilized in agricultural production. The stress relatedto the main structural structure for agricultural-based loans was placed on the roots of understanding the significant importance of agricultural loans to sustain the core roots of agriculture production even after the start of the expected economic growth cycle in India. This paper intends to identify and discusses the scenarios of past and wishes of Indian farm finance area, origins and scale of farm-finance, and reviews the expansion of farming finance. The paper is concentrated on secondary information gathered from various sources and analyzed using descriptive statistical methods (if applicable). Farmers would always in of needing capital for both agricultural needs pertaining to productivity and unproductive use. Farmers need money. Centralized and non-institutional financing sources are the key sources of finance in agriculture. In recent years, the percentage share of agriculture financed backed by non-institutionalized platforms like traditional money lenders fell drastically at a point rate from 90,9% to 20,9%. For scheduled commercial banks with CGR 32.05, the very best lending rate was 32.05, while for co-operatives with CGR short-term loans rock bottom was 13,57%. For long-term loans, for Planned Commercial Banks with CGR 22,74 the typical outstanding debt was 22,74, while for Co-operatives it had been 2.81% CGR rock bottom . The percentile  share of agricultural credits slowly increased in time within the agricultural GDP after the 1950s than as a part of GDP as entire until the 1980s. Advice for lenders on the interior formalities of monetary institutions should improve access to institutional loans further. Microfinance and Kisan Credit Cards (KCC) should be adopted and simplified so as to alleviate the suffering of low, poor, and simply linked tribal farmers within the Self Help Group (SHG).
A Study on Risk and Return Analysis of Selected Banking Securities
Authors: Et. al. Mehta Vani Joghee,
Published: January 2024

In each country the banking system plays a prominent role in the development of its economy, and Indian banking sector is not exceptional. Indian financial sector is the backbone of the country’s economy development, the banking sector plays a key role in empowerment of all areas. In the capital market, the equity market plays a huge role. And it’s volatile in nature too.

Banking sector equity market has volatility and less returns on investment in some of the banks and some of the banks have more volatility   in investment also. The investors identify the minimum  risk  and  maximum  return  on  investment  decisions  through  portfolio  analysis.  Hence, understanding the risk involved in the investment helps to maximize returns. This study helps investors to understand from the Previous Behaviour Of Selected data., to make the best decision through market volatility, the primary objective of this study is to analyse the risk and return of selected banking securities.
Implementation Of The CLIS Model To Improve Student Learning Outcomes In Material Temperature And Changes
Authors: Et. al. Dewi Diana Paramata,
Published: January 2024

This study aims to improve student learning outcomes on temperature and its changes by implementing the children learning in the science learning model. This type of research is a classroom action research model of Kemis and Taggart using two cycles: planning, implementing, observing, and reflecting. Students subject to action are class VIIB students of SMP Negeri 5 Gorontalo, the academic year 2019/2020, with several 30 people. The results showed that implementing the model of children learning in science could improve student learning outcomes; namely, in the first cycle, the percentage of learning completeness is still low and has increased in the second cycle. For the teacher activity, the total value of each aspect obtained is 76.7%. An increase in cycle II reached 83.4%, the aspect of student activity in cycle I was 9.67%, while in cycle II it increased by a percentage of 9, 81%, and student learning outcomes with an increase in the percentage of cycles I and II, from 66.6% to 96%. Based on this, it can be concluded that the implementation of the children learning in the science model can improve student learning outcomes.
QoS Improvement in MANET using Self Organized Balanced Optimization
Authors: Et. al. Anup J Johnson,
Published: January 2024

The provision of quality of service (QoS) for routing in MANET (mobile ad hoc networks) is a major challenge due to the topology, bandwidth sharing and resource scarcity in wireless nodes. Another key aspect of distributing QoS is security, as malicious nodes pose all variety of threats to MANETs. Although a variety of MANET defense measures have been suggested, most solutions are only successful for a particular form of attack or provide security at the risk of sacrificing QoS. A trust-based, secure QoS routing scheme is proposed in this paper by incorporating trust between social and QoS. The key solution of the proposed scheme focuses on minimizing nodes that show different abuses of packet forwarding and finding the way that through the trust mechanism, safe communication is ensured. The performances are compared in in terms of QoS parameters, as channel quality, residual energy, link quality, etc.
An Auto-Scaling Approach to Load Balance Dynamic Workloads for Cloud Systems
Authors: Et. al. Dr. Sharvani GS,
Published: January 2024

With The Advances In Modern Technology, Need For Cloud Services Is Ever Increasing. In Such Case On Public Real-Time Cloud Environments The Workload On The Respective Server Can Vary Depending On The User Needs. Cloud Computing Is The Latest Technology That Provides On-Demand Availability Of Computer Resources Without Direct Intervention Of The User. This Technology Combined With Cloud Load Balancing Enables Enterprises To Manage Workload Demands. The Cloud Load Balancer, With Auto Scaling Features, Further Increases The Efficiency And Optimized Utilisation Of The Computing Resources. This Paper Discusses How Amazon Web Services As The Cloud Medium Along With Mobaxterm For Remote Control, And Implement ARR Configurations For The Load Balancer To Route The Requests. AWS Gives Us Knowledge About Various Concepts Such As Auto-Scaling Groups, Target Groups, Load Balancers, Etc.
A Study of failure Multi-Term Central HVDC Conductors In Wind Power Transmission Systems
Authors: Et. al. Kayapati Rajagopal ,
Published: January 2024

Wind power is developing quickly all throughout the planet as a methods for managing the world energy deficiency and related natural issues. Adaptable direct current (DC) transmission network innovation is a viable strategy for huge limit clean energy admittance to control grids, however the DC cut off identification for it is a troublesome issue for wind structure. The multiterminal dc wind farm is a promising geography with a voltage-source inverter (VSI) association at the coastal matrix. Voltage-source converters (VSCs) are robust to ac-side shortcoming conditions. Be that as it may, they are defenseless against dc deficiencies on the dc side of the converter. For the modular multilevel converter HVDC (MMC-HVDC) systems, when a solitary pole to-ground deficiency happens, the flaw current is little, and it is hard to recognize the issue rapidly. Two variable-speed age frameworks are thought of: doubly-fed induction generators (DFIGs) and perpetual magnet simultaneous generators (PMSGs) in light of their ubiquity these days for wind turbines scaling to a few MW frameworks. The impact of the wind power plant control technique in the short out conduct of the HVDC connect has likewise been contemplated. Results show that the elements of the wind power plant commitment to post to-ground shortcomings are somewhat more slow than those of the wind turbines current control circles. Consequently, the wind turbine front end converters can be utilized to diminish the pinnacle and normal estimation of the issue current in such a system.
Brain Tumor Detection using Convolutional Neural Network
Authors: Et. al. Poornimasre Jegannathan,
Published: January 2024

Brain tumor is the main threat among the people. But currently, it become more advanced because of the many Machine Learning techniques. Magnetic Resonance Imaging is the greatest technique among all the image processing techniques which scans the human body and gives  a  clear  resolution  of the tumors in an  improved  quality  image.  The fundamentals of MRI are to develop images based on magnetic field and radio waves of the anatomy of the body. The major area of segmentation of images is medical image processing. Better results are provided by MRI images than CT scan, X-rays etc. Nowadays the automatic tumor detection in large spatial and structural variability. Recently Convolutional Neural Network plays an important role in medical field and computer vision. One of its application is the identification of brain tumor. Here, the pre-processing technique is used to convert normal images to grayscale values because it contains equal intensity but in MRI, RGB content is included. Then filtering is used to remove the unwanted noises using median and high pass filter for better quality of images. The deeper architecture design in CNN is performed using small kernels. Finally, the effect of using this network for segmentation of tumor from MRI images is evaluated with better results.
Crowdsensing using Geofencing for Smart Parking
Authors: Et. al. Meet Mineshbhai Shah,
Published: January 2024

Finding a parking spot for a car is a practical problem faced by millions of drivers daily. Most of the times it involves anxiety and uncertainty, also considering a threat to environment, it wastes limited resources which includes time, road space, and fuel. Also drivers roam around in search of free parking spaces. These problems could be minimized if drivers had advance information of vacant parking spots. This information can be gathered with dedicated sensor systems keeping track of the reservation status of parking areas. New devices such as mobile phones come with a variable number of sensors and thus can interact with many things in environment. Recently mobile operating systems have started to incorporate means to offer contextual information derived from measurements of multiple sensors, i.e. by interacting with open sources it can get information about the surrounding. The idea is to investigate how these interacting capabilities could be used to derive information about available parking places in addition to parking sensor of the infrastructure or by smart parking using geofencing by which the model aims to reduce the traffic in the surrounding.
Islamic Worldview Conceptions of Muhammadiyah Elementary School East Java Teacher on the Leadership of the Principal and Student Learning Outcomes
Authors: Et. al. Sarwo Edy,
Published: January 2024

The purpose of this study was to obtain an overview of the contribution or influence of the perception of Islamic worldview of the teachers on the leadership behavior of principals and the learning outcomes of students in Muhammadiyah Elementary School in East Java Indonesia through rational, emotional, organizational, family path, and family socio economic status (SES). Survey research design using proportional area random sampling technique based on the district / city of the school location. The data was taken through a questionnaire by the teacher, whose instruments were adopted and adjusted from the Leading Student Achievement (LSA) Elementary School Principal Survey Kenneth Leithwood. Data analysis techniques using Structural Equation Modeling (SEM), consisting of measurement models and structural models through the Analysis of Moment Structure (AMOS) program. Research hypothesis testing is done with path coefficient, by t test. The results of the Islamic worldview research that theoretically encompasses human behavior proved to have a direct effect on the leadership of the principal and teacher behavior in the classroom through rational and emotional paths. Indirect influence on learning outcomes is found through the leadership of the principal - rational path - organizational path. This study shows that in the religion-based schools Muhammadiyah, the Islamic worldview factor plays an important role in controlling the leadership behavior of principals and teacher learning in the classroom to achieve student learning outcomes. The results of the study also show that the only direct path of the influence of the principal's leadership on student learning outcomes is only through the rational path. And independently the family path affects student learning outcomes, but the socio economic status (SES) of the family has no influence.
Design of Web-Based Reservation of Residential House Design Application Using the Prototype Method
Authors: Et. al. Iwan Rijayana,
Published: January 2024

The purpose of writing this research is to find out an overview of the system that runs on Arch Studio and to create the design of the website on Arch Studio. The method used in making this research is the prototype methodology. The work project in Arch Studio has several activities including designing interior design, construction design, exterior build, and construction renovation. The results of this research are to produce a web-based marketing application that can be a tool for consumers to make transactions of reservation and is useful for consumers to obtain information easier.
Analysis Of Student Interest Of Knowledge About Japan(Study On Students Of Sma 16 Bandung)
Authors: Et. al. Abdul Latif Jaohari,
Published: January 2024

Japanese Language Study Program of Widyatama University always carries out Community Service Program (P2M) which is regularly held as a form of contribution to society. Through this activity, it is hoped that a good relationship will be established between the world of campus education and the community as well as a real form of concern.Knowledge about Japan is growing rapidly in Indonesia. This can be seen by the increasing number of Japanese learners both through academic channels ranging from high school to college or university level and also through course institutions that are growing and developing more and more in every major city in Indonesia. In addition, we can see knowledge about Japan from the increasing number of Japanese products entering Indonesia from various industrial sectors, ranging from the food industry to the entertainment industry, as well as the increasing number of Japanese companies opening factories in Indonesia.Referring to this, the Japanese Language Study Program at Widyatama University feels the need to participate in providing real assistance apart from being an educational institution that teaches Japanese as well as wanting to help people to know and understand more about Japan, not only in terms of language. In this case, we at the same time want to analyze the extent of public interest in knowledge of Japan, especially among students of 16 Bandung Public High School.
Do the Executive Characters and Leverage can affect Tax Avoidance?: Evidence from Indonesia Mining and Coal Listed Companies
Authors: Et. al. Eriana Kartadjumena,
Published: January 2024

This study aims to determine whether the executive characters and leverage can affect tax avoidance in Indonesia Mining and Coal Listed Companies. The factors tested in this study were the executive character and leverage with the proxies corporate risk and debt to equity, respectively, as independent variables. Meanwhile, tax avoidance is proxied by cash effective tax rate as the dependent variable.The research data are taken from 112 financial statements of 28 Indonesian Mining and Coal Companies that listed on the Indonesia Stock Exchange in the period 2016 - 2019. The data are analyzed by using panel data regression analysis.The research results show that  that executive characteristic has significant positive effect on tax avoidance. In constrast, the leverage  has not effect on tax avoidance.
The Effect Of Dividend Policy (Dpr) And Debt To Equity Ratio On Company Value (Pbv) In The Consumer Non-Cyclicals Sector Companies That Registered In Idx On Period Of 2017-2019 Achmad Fadjar1, Aris Purnama
Authors: Et. al. Achmad Fadjar,
Published: January 2024

Price to Book Value is one of the variables considered by an investor in determining which shares to buy. The higher value of a company will show the higher prosperity of the shareholders. A decline in share prices will result in a decrease in the prosperity of shareholders. The purpose of this study is to determine the factors that influence Price to Book Value fluctuations, in this study the variable factors are the Dividend Payout Ratio and Debt to Equity Ratio.The objects in this research are Dividend Payout Ratio, Debt To Equity Ratio and Price to Book Value in non-cyclical consumer sector companies listed on the Indonesian Stock Exchange. The number of samples in this study were 34 companies during the 2017-2019 period. The analysis technique in this study uses multiple regression analysis techniques, the tool is used in processing research data is SPSS.The results of this study indicate that the Dividend Payout Ratio has an effect on the Price To Book Value and the Debt To Equity Ratio has no effect on the Price To Book Value. Meanwhile, the Dividend Payout Ratio and Debt To Equity Ratio together have an effect on the Price To Book Value.