bluuebunny/crossref_metadata_2025 huggingface dataset:
Classical and Approximate Theorems of Weighted Space Sampling
Authors: Et. al. Ban Mohammad Hassan,
Published: January 2024

We show the same findings in this article, for the authors introduced in 2005 and 2004 that proved the classical sampling theorems, in the space   ,and Bulzer show that three variants of the indicative analysis sampling theorem are similar in the significance that one can be shown as a corollary of one of the others. in 2014 [1] and [2], but in this work for any function in the space   the space of all functions which are integral by weight function. Consequently, the two sampling theorems in the universal standard are fully identical. The outcome seems to be that our work is successful
An Agricultural Soil Environment Monitoring Using Wireless Multimedia Sensor Network
Authors: Et. al. E.Manjula,
Published: January 2024

In the networking research community, Wireless Sensor Networks (WSN) has achieved considerable significance in the past years and it can be used in extensive variety of domains. In recent years, the tremendous growth of WSN does not meet all the necessities of environmental monitoring. Wireless Multimedia Sensor Network (WMSN) is required to fulfill the requirements of environment monitoring. In this paper, WMSN is used to monitor the agriculture soil environment.  In order to ensure optimal use of the sensor nodes in WMSN and accurate access to the collected data,the routing protocols with both energy efficiency and quality of service ( QoS) properties are necessary for the transmission of photo, video and scalar data.This paper proposes a priority aware energy efficient QoS based data transmission for agriculture soil environment and also detects the pest. It utilizes the available bandwidth and data rate in the best way and in order to be more energy efficient during data transmission.For performance analysis, the proposed system is simulated using Java and the results of the experiments suggest that the proposed algorithm is more efficient compared to other methods in terms of delay and energy consumption.
Analysis On Industrial Internet Of Things Using Deep Neural Multi-Layer Perceptron Based Model-Based Engineering
Authors: Et. al. P. Senthilkumar,
Published: January 2024

In this paper, an analysis is presented using a Deep Neural Multi-Layer Perceptron based Model-based Engineering (DNMLP-MBE) that implements the industrial workflow in cloud-based IIoT. The integrated cloud-based IIoT combines cloud features with open connectivity with IoT. In this research, the validation stages consumes high energy for tracking the reference signal and it requires maximum voltage for the pump. In order to improve the tracking of reference signal with reduced energy and minimum voltage to pump, we use ML algorithm namely Artificial Neural Network (DNMLP-MBE) to optimize the operation in the workflow. The simulation is conducted to verify the benefits associated with Cloud-IIoT integration with MBE.
Coefficient Inequalities using Lucas Polynomials
Authors: Et. al. P. Lokesh,
Published: January 2024

The aim of this paper is to apply Lucas polynomial, in order to obtain the initial coefficients on and  belonging to the new subclass   of analytic, univalent and Sakaguchi functions as defined in the open unit disc . Furthermore, the Fekete – Szego inequality is also investigated for this subclass.

2010 Mathematical Subject Classification: 30C45, 30C50.
Enhanced Time Quantum based Round Robin Algorithm for Cloudlet Scheduling in Cloud Environment
Authors: Et. al. D.Gritto,
Published: January 2024

The contemporary organization integrates most of the required resources into their business environment by adopting or leasing the cloud resources that are offered by many of the remote cloud service providers. The cloud computing renders hassle free installation, deployment and maintenance of the resources.  The cloud resources and services are observed to be pervasive in nature and therefore efficient technologies are to be adopted in order ensure the effective resource utilization and optimal service delivery to the cloud users. Generally virtualization, optimal scheduling techniques like cloudlet scheduling, virtual machine scheduling and load balancing strategies maximize the resource utilization and service delivery. This paper outlines the foundation concepts of cloud computing and proposes an algorithm named Enhanced Time Quantum based Round Robin Algorithm (ETQRRA). The ETQRRA is proposed to reduce the response time, waiting time, turnaround time and the number of context switching. The result of ETQRRA algorithm is compared with various versions of the existing Round Robin algorithms like Classic Round Robin Algorithm (CRR), Improved Shortest Remaining Burst Round Robin (ISRBRR), Half Life Variable Quantum Time Round Robin (HLVQTRR), Improved Round Robin Varying Quantum (IRRVQ) and Dynamic Time Quantum Round Robin (DTQRR) algorithms to prove the efficiency of ETQRRA. The comparative study shows the performance of ETQRRA outdo the other algorithms taken for the comparison.
A Review on Deep Learning Algorithms in Healthcare
Authors: Et. al. A. Lakshmi,
Published: January 2024

Deep Learning is a branch of Machine Learning (ML) that is used to solve complex problems and come up with intelligent solutions. Artificial Neural Networks (ANN) are used in deep learning to analyze data and make predictions. In the health sector, deep learning has made it possible to use computer aided technology to predict and diagnose the disease. In this paper , we present a comprehensive review on deep learning algorithms and how it is used in healthcare to predict and diagnose various diseases.
Blessings of COVID-19 Lockdown on Virtual Learning: A Higher Education Faculty Perspective
Authors: Et. al. Mr. Hiteshkumar Patel,
Published: January 2024

Background:

Academic iansare experiencing immensere formsglobally during lock down in COVID-19out-break.Thisstudywasintended to check how COVID-19 outbreak became blessings for higher education institute’s faculties on virtual learning and skill developmentprogramme.ItbringshowtheIndianeducationsystemhasreacted toCOVID-19pandemicsituationin thelight of E-learning.

Methodology:

The research methodology used was primary in nature and descriptive research design has been made use of with the review of the literature. The research was conducted among 213 academicians of higher education universities and colleges across India through structured questionnaires. This questionnaire measures the achievements of academic excellence of higher education academicians.

Results:

The empirical result of the study reveals that, due to the outbreak of COVID-19 many of the academician has attended and Participated in various webinars, conferences, courses, workshops, research, orientation programs, faculty development programs, etc. related to his subject for skill development. Some of the academicians have paid fees for attending virtual learning programmes.

Conclusion:

VirtuallearninghasdominatedtheeducationlandscapeduringCOVID-19pandemicandbecameblessedfortheprofessorsin skill development. Professors also made good use of this time and became more equipped to increase the interest and knowledgeofthestudents.Thus,ifthislockdownhasbeenablessingfortheprofessors,theprofessorswhogotocollegeafter the lockdown will seem to have become more equipped andskilled.
Development Of Hedging Strategy For Exporters And Importers Succoured By Multi-Criteria Decision-Making Techniques (AHP And WASPA)
Authors: Et. al. S.Iswarya,
Published: January 2024

Hedging strategy decision for a firm is very challenging as it impacts the financials of the firm in multiple facets. This study aims to solve the real time problem by finding the criteria weights for various hedge influencing factors and ranking the best one using MCDM techniques like Analytic Hierarchal Process (AHP) and Weighted Aggregated Sum Product Assessment (WASPA) method. Snowball sampling technique was executed considering the sensitivity of the data. The respondents were finance executives and managers who play a crucial role in hedging decisions in their organisations and who are highly experienced in this domain. The total number of respondents were 83 and they belonged to firms which perform both import and export business activity. The findings reveal that, exposure coverage and firms policy decision influence 49 % of criteria weight. The best solution for hedging strategy would be the firm should equally be involved in both internal and currency derivative to mitigate the exposure, followed by currency derivatives methods and internal hedging strategy.
Minimizing the Lateness, Makespan, And Energy Efficient Factors in Job Shop Scheduling
Authors: Et. al. K. Anandapadmanabhan,
Published: January 2024

Half of the worldwide energy is consumed by industries. In the modern era, due to an increase in the energy overhead, it is necessary to plan during electricity production. In this paper, a novel mathematical model is proposed which determine a more efficient scheduling algorithm that reduces the electricity consumption cost (ECC) and make-span for the Flexible Job Shop Scheduling Problem (FJSSP) with a time-of-use (TOU) policy. Another subtask named speed selection, which indicates the selection of varying operation speed is added to already available two subtasks of FJSSP. Subsequently, a Modified Cooperative Co-evolutionary Cuckoo Search Algorithm (MCCCSA) along with Variable Neighborhood Search (VNS) is used for resolving the constrained, unconstrained optimization and engineering issues. The population used for this algorithm is an organization that contains dynamic persons. Experimental analysis is done to check the performance of the proposed model MCCCSA+VNS for  improved scheduling result when evaluated with other existing methods.
Malware Classification Using Xgboost With Vote Based Backward Feature Elimination Technique
Authors: Et. al. Munisamy Eswara Narayanan,
Published: January 2024

Malware is one of the most popular threats today, and it is rapidly becoming a significant threat to Internet security. Malware is computer code written by cyber criminals with the intent of causing extensive harm to data and infrastructure or gaining unauthorized access to a network. There are several methods are employed to detect the malware with signature based and behaviour based techniques. Several machine learning techniques are used for classification of malware files. The traditional techniques are not efficient to detect the malware. To efficiently classify the malware, we proposed the XGB with Vote based Backward Feature Elimination technique (XGB-VBFE) which selects the optimal features to build the model and classifies the files with higher accuracy. The performance of the proposed system is compared with other machine learning algorithms such as SVM and Random Forest and proved to be better in accuracy, precision and recall. The proposed XGB-VBFE classifies the files with the accuracy of 99.50%, precision 0.99 and recall 0.96.
Equitable Coloring On Rooted Product Of Graphs
Authors: Et. al. Loura Jency ,
Published: January 2024

A finite and simple graph  is said to be equitably  colorable if its vertices can be partitioned into  classes  such that each  is an independent set and  holds for every . The smallest integer  for which  is equitable chromatic number of  and denoted by . The equitable chromatic threshold of a graph , denoted by , is the minimum  such that  is equitably  colorable for all . This paper focuses on the equitable colorability of rooted product of graphs, in particular, exact values or upper bounds of  and  when  and  are cycles, paths, complete graphs and complete  partite graphs have been found.
A Review Article On Mathematical Aspects Of Nonlinear Models
Authors: Et. al. B. Mahaboob,
Published: January 2024

The main objective of this review article is to propose some mathematical aspects of nonlinear models. In mathematics, nonlinear modelling is empirical or semi-empirical modelling which takes at least some nonlinearities into account. Nonlinear modelling in practice therefore means modelling of phenomena in which independent variables affecting the system can show complex and synergetic nonlinear effects. Contrary to traditional modelling methods, such as linear regression and basic statistical methods, nonlinear modelling can be utilized efficiently in a vast number of situations where traditional modelling is impractical or impossible. This review article mainly explores on mathematical preliminaries of nonlinear models, solution of algebraic and transcendental equations and solution of system of nonlinear equations. In addition to these Taylor polynomial and finite difference operators, least - squares polynomial approximation and the roots of the equations are also discussed here.
Short-Term Prediction Of Covid-19 Cases Using Ensemble Regression Models In Tamilnadu Districts
Authors: Et. al. V.Ashridurga ,
Published: January 2024

The Regression based outfit learning model that requires the previous 14 days information into record to anticipate COVID-19 cases for the time being. Accurately expect the fundamental infection similarly as effectively directing meager resources. It is valuable to plan medical clinics and medical services laborers with legitimate gear like beds, ventilators and so forth ahead of time with no troubles. To this end, this structure designs a backslide based gathering learning model containing Linear backslide, Ridge, LASSO, ARIMA, and SVR that requires the previous 14 days data into record to anticipate the amount of new Corona cases briefly (Future three days). The social affair model yields the best show by thinking about the introduction of the large number of models. This framework thinks about information from Tamilnadu Districts. The outcomes regarding relative rate mistake show that the group strategy gives predominant forecast.
Energy Harvesting Wireless Sensor Network (Eh-Wsn) Based Modified Negatively Correlated Search Algorithm For Non-Convex Optimization Problems
Authors: Et. al. Maddali M.V.M. Kumar,
Published: January 2024

Network resource allotment is a significant concern for designing energy harvesting wireless sensor networks (EHWSNs). So, in this manuscript, Modified Negatively Correlated Search by Harris Hawks Optimization (MNCSHHO) algorithm is proposed for EH-WSNs with interference channel to solve the Non convex problems. It also used for optimizing data rates, energy transfers, and minimizing the total network delay. Initially, it deals with the complicated nonlinear constraints and also optimizes the data rates and energy transfer. By this total network delay can be minimized. The simulations are performed using Network Simulator (NS2) to validate the performance of the proposed Modified Negatively Correlated Search by Harris Hawks Optimization (MNCSHHO) algorithm and it provide better results such as high network life time as 1.09, 2.34, high throughput as 0.65, 1.024, energy transfer as 24%, 51%, low delay as 20.29%, 42.416%, low drop as 2.34%, 3.3455% and low overhead as 40.52%, 23.4% are compared with the existing algorithms like EDS-NCS, convex approximation respectively.
Eminent Identification And Segmentation Of Optic Disk In Digital Fundus Images Using Marr- Hildreth Operator
Authors: Et. al. Sujithra.B.S,
Published: January 2024

This paper proposes a novel method for the detection of Optic Disk (OD) using fundus image to diagnose glaucoma. Glaucoma is a terrible disease associated with human eyes. As it is a symptomless tragedy that can lead permanent vision loss if not treated in the early stage. Hence, it became the most important research topic in medical field. It is the second leading cause of blindness in the world and it has no cure. Glaucoma has different types, they are normal tension, open angle, close angle etc. Normal tension affects the vision field and damage the optic nerve as well. The term angle means distance between iris and cornea. If the distance is large then it is referred as open angle glaucoma. Similarly if the distance between iris and cornea is short, that is referred as close angle glaucoma. Close angle glaucoma is very painful and it reduces the vision field of eye very quickly. Currently there are treatments are available to prevent vision loss but the disease must be detected in the early stage. Since, OD is the main factor in detection of several eye disease. Glaucoma affects the optic nerve and leads to cupping of optic cup and disk. This paper provides a structure to develop an automatic detection method of OD in retinal images and the methodologies used are optic disc localization and segmentation using Marr-Hildreth operator and Polar Transform.
Power And Oppression In The Novels Of Buchi Emecheta
Authors: Et. al. N. Sinthuja,
Published: January 2024

Oppression can be defined as any cruel or unjust treatment upon anyone for a prolonged period. It can be any form of abuse which varies from individual to a large community. It is mainly a tyranny where people show their cruel, unreasonable control and power upon others. This system of oppression is sometimes institutional which affects the whole clan of people. In such cases people have a long history deeply rooted in their culture. Throughout the history we could see women especially black women are subjected to exploitation, gender discrimination, domestic violence, male chauvinism etc. Many women writers have discussed about all these abuse against women in their own society. One such women writer is Buchi Emecheta whose work revolves around women in the African culture. Her works not only investigate the aspects of women’s oppression but also mounts a protest against it. Her characters fight for social justice irrespective of all the gender based obstacles..
Influence Of 7 Sunnah Improves Higher Order Thinking Skills Of Indonesian Students In Mathematics
Authors: Et. al. Raden Ridwan Hasan Saputra,
Published: January 2024

The quality of mathematics education in Indonesia is of great concern. This is proven based on the survey results conducted by international survey institutions such as PISA and TIMSS and national survey institutions such as ACTION. This conclusion is strengthened by the fact that the UN scores for junior high and high school levels have decreased. Improving the quality of mathematics education in Indonesia, especially among Muslims, research on the relationship of students' persistence in performing worship with their high-level thinking skills was conducted. The purpose of this research is to (1) Formulating the application of the 7 Sunnahs of the Prophet Muhammad S.A.W. in mathematics using Higher-Order Thinking Skills (HOTS). (2) Analyzing the effect of implementing the 7 Sunnahs of the Prophet Muhammad S.A.W. in improving students' higher-order thinking skills/HOTS. (3) Analyzing the practice of worship that is most influential in the implementation of the 7 Sunnahs that affect the higher-order thinking skill/HOTS.

This study uses a quantitative approach with data collection techniques through in-depth interviews, surveys, questionnaires, and documentation. The data is processed and analyzed using a computer as a tool and using the SPSS 16 for Windows program to determine the correlation of existing data. The research resulted in (1) A model of implementing the 7 Sunnahs in mathematics learning. The lesson begins with reciting surah Al-Fatihah, praying to the prophet, praying before studying, reciting Asmaul Husna, and reciting short surah in the Quran and ends with the advice to motivate students to be persistent in carrying out worship. (2) The implementation of the 7 sunnah that has significant influences is tahajud pray while the achievement of the competition that has a significant influence are KMNR competition, OSN competition, and International competition (3) The implementation of the 7 Sunnah that has significant influences are congregational pray, Dhuha prays, almsgiving, reading the Qur'an, sunnah fasting and maintaining ablution. This study found that the spiritual activity approach influenced improving students' higher-order thinking skills in mathematics. This learning model can be used in various non-formal educational institutions with having the same vision. This learning model can also be applied in formal education after being adapted to the situation and conditions of the school.
The role of transformational leadership In improving muslim students entrepreneurship
Authors: Et. al. Maemunah Sa’diyah,
Published: January 2024

Buya K.H. Husen Harahap has succeeded in building and improving the entrepreneurship based Islamic boarding school which is still rare to find Indonesia, especially West-Java. This study aims to understand the role of transformational leadership applied by Buya K.H. Husen Harahap in cultivating Muslim students’ entrepreneurship. Qualitative data collection method in particular to the in-depth interview was conducted. The school management staffs were interviewed to explore the strategies applied in managing the school. The main characteristic of the transformational leadership applied is the transformation of the unproductive land into the productive one through seven strategies which are: (1) creating vision and mission, (2) stimulating students’ leadership and entrepreneurship, (3)  building the cooperation unit, mineral water company, and fruit farms, (4) formulating the entrepreneurship oriented curriculum, (5) creating the vegetables and fruits garden, (6) engaging the students in practical business activity, and (7) providing the role models to the students and teachers
A Study on Inequalities in Education created due to Rural-Urban Divide and class position with special reference to Assam
Authors: Et. al. Dr. Moyuri Sarma,
Published: January 2024

The conceptualized term of rural – urban divide exaggerates the gap of inequality in the sense of education, income distribution, quality of life, modern amenities and technological advancement. In India inequalities in education and learning achievement is increasing gradually due to rural-urban divide paradigm. At present, the world is witnessing an unprecedented human health pandemic COVID-19 which compels us to rethink in all aspects of human life including educational facilities. During COVID-19 imbalance and inequalities are clearly manifested in terms of unequal access to visual learning and online facilities in rural areas. Most of the students in rural areas are affected and deprived of attending online classes due to no accessibility of technology. Socio-economic condition and source of livelihood of rural households are shaken due to the COVID-19 pandemic and it exerts negative impact on children’s education and mental health as well in comparison to the urban areas. Specially in Assam, it is clearly visible that education and learning process are jeopardized and students committed suicide due to lack of android mobile for e-learning. This rural- urban divide intensifies the inequalities in education and learning process. In the present research work the investigators attempts to highlight the inequalities in education due to rural-urban divide. Descriptive survey method has been applied and purposive sampling technique was used while selecting sample for collecting data. The analysis has been done on the basis of descriptive statistics.
Improved Performance of Direct Torque Control with PMSM compared to DTC with Induction Motor
Authors: Et. al. Suraj R Karpe,
Published: January 2024

For induction motor torque control, direct torque control is becoming the industry standard. This paper proposes a switching loss minimization technique for improved Direct Torque Control (DTC) of permanent magnet synchronous motors in order to increase the drive system's steady-state and dynamic results. Direct torque control (DTC) of a voltage source inverter-supplied PMSM is a simple scheme that requires little computation time, can be implemented without speed sensors, and is unaffected by parameter variations. In theory, the motor terminal voltages and currents are used to calculate the flux and torque of the motor. A voltage vector is chosen to restrict the flux and torque errors within their flux and torque hysteresis bands based on the instantaneous torque and stator flux magnitude errors, as well as estimates of the flux position. The electromagnetic torque, rotor speed, and stator current of DTC with PMSM and DTC with IM were successfully calculated using Total Harmonic Distortion (THD) in this article. As compared to DTC with IM, DTC with PMSM reduced THD by 12 percent in torque, speed, and stator current [21]. Switching Losses Minimization Technique by THD Minimization is used in this article. Since transistors are only switched when necessary to maintain torque and flux within their hysteresis limits, switching losses are minimised, resulting in increased efficiency and lower losses. Matlab SIMULINK has experimentally confirmed direct torque regulation with PMSM and IM.
Assessment of Obesity in medical students
Authors: Et. al. Mrs. A. V. Rao,
Published: January 2024

Objective: Obesity is one of the root cause of various noncommunicable diseases like hypertension, coronary heart disease and type 2 DM. Obesity in childhood and adolescent is highly associated with increased risk of cardiovascular and metabolic diseases later in adult life. In general population obesity is measured with simple and effective tool, Body mass index (BMI). This study was planned to find out the obesity status of medical students those are health professionals serving the society.

Methods: Study was carried out in I MBBS student after admission in the college at the time of medical check-up, anthropometric measurements such as weight and height were measured with maximum accuracy. BMI was calculated by Quetelet's Index & students were classified into normal (BMI = 18 to 24.99), overweight (BMI =24.99 to 29.99) & obese (BMI 30) groups.

Results: 820 students (334 males and 486 females) were participated in this study. Normal BMI was found in 58.04 % students. 21.95% were found overweight and 10.00% were found obese. 10.00% students were found to be Underweight.

Conclusions: Our data shows that the prevalence of obesity is high amongst medical students who are upcoming doctors..
Role of Information and Communication Technology (ICT) in Good Governance Process
Authors: Et. al. Roshna Devi,
Published: January 2024

With the growing popularity of Information and Communication Technology (ICT) in different fields, attempts have also been made to implement it in the area of good governance. ICT promotes the idea of digitization of the world in the form of using modern technologies and devices. Good governance as a holistic approach brings the idea of a citizen-friendly, corruption-free and a transparent administrative system. This paper outlines the role played by ICT in the good governance process by advocating the view that in comparison to the developed countries; the developing countries are lagging far behind in getting the benefit of ICT in the good governance process.
Two-Way Refinement Approach For Extra Corrupted Shard Removal In Elastic Search With Lucene And Translog
Authors: Et. al. Subhani Shaik,
Published: January 2024

Elasticsearch is most popular search engine which is based on Apache Lucene. Many advantages are identified with the Elasticsearch. For every inserted document or record the Elasticsearch’s auto-generated id values are created. But this may leads to increasing the duplicate values. To overcome this various duplicate methods are introduced by various researchers. Indexing is very important for the elastic search removing duplicates in elastic is based on indexing. For this Lucene Index and Translog are used.  This can be used for all types of data in Elastic search. Many researchers working on removing duplicates and shards from the data. But still there is lot of corrupted shards is present in output. To overcome this, A Two way Refining Algorithm (TWRA) is introduced to remove the extra corrupted shards for extra refinement of data. The TWRA consists of two refinements of data such as Advanced Advanced Data Cleaning and Advanced Data Filtering Algorithm. Experimental results show the performance of the proposed methodology.
Corporate Social Responsibility and Spatial Inequality in India
Authors: Et. al. Greeshma Benny Thadikaran,
Published: January 2024

The study aims to determine whether there exist spatial inequalities in the Corporate Social Responsibility (CSR) spending among various states in India during the period 2017-2019 by considering section 135 of the Companies Act 2013, which elaborates on CSR provisions in India. The study has utilized secondary data published in the National CSR portal, maintained by the Ministry of Corporate Affairs. Percentage analysis and ranking were done for the 29 States to determine the existence of spatial inequalities in CSR spending. Furthermore, for an in-depth analysis, ten states (N=10) were taken as a sample to understand and analyse the impact of spatial inequalities. The study revealed that there exist spatial inequalities in CSR spending among various States. Moreover, the North-East States received the least amount of CSR in comparison to other states. The study provides insights to the government authorities, companies, and other stakeholders in implementing effective policies related to CSR. The study adds another field to the existing literature on CSR by incorporating the dimensions of spatial inequality and confirming the existence of spatial inequalities in CSR spending in India, which was not explored previously.Finally, the study points out the loophole present in section 135 of the Companies Act 2013, which elevates the spatial inequalities in CSR spending.
Effective Analytic and Remotely Monitoring Smart Drug Delivery System based on IoMT with KNN classifier of Epilepsy Patients
Authors: Et. al. Mr.Pradeep raj M S,
Published: January 2024

Chronic, non-communicable brain disorder, epilepsy is one of the most severe neurologic disorders. Worldwide, about 50 million individuals (2.5 percent) have Epilepsy, rendering it one of the world's most severe neurological disorders. [1]. About 80% of individuals with epilepsy work in countries with small to modest income. A medically refractory solution for the seizure control for a large fraction of affected patients. Here we explain the IMoT structure for a single drug delivery network. This has resulted in injection of drugs when seizure seizures have been identified. A powerful micro-pump electromagnetically powered with a polydimethylsiloxane (PDMS) diaphragm was used to distribute the drug. Simulink ® and ThingspeakTM were the prototype for the solution. The findings of the simulation reveal that the device proposed preserves high precision performance while substantially reducing power usage (8-26 %)..
A Review on Detection, Defensive and Mitigation of DDoS Attacks with Traceback Methods
Authors: Et. al. Mr K Alluraiah,
Published: January 2024

The most tremendous attacks in the globeis Distributed Denial of Service (DDoS) attacks, which is the very powerful and typical external attempts to weak bandwidth of the victims or interrupt legitimate users to access the services. The traditional Internet services of architecture is unsafe to DDoS attacks and the collection of internet connected devices affected by the malwares, then it allows the intruders to control all the internet connected devices is a Botnet or attacked networks.In Botnet, one disadvantage is that if the Botnet is set up then the intruder creates the large-scale networks to attack on more number of victims.As anoutcome of the permanentgrowth of latest attacks and constantly growingcollection of weak sources on the internet, the Detection, Prevention of DDoS attack and Trace back methods have been proposed.In this paper, we have reviewed various types of classification methods for DDoS attacks and its countermeasures. Finally,this survey paper assesses and illustrates the efficiency of variousDDoS attacks including detection, defense and mitigation, trace back methods. These methods rely on better router functionality or changes to existing protocols. The advantages and disadvantages of existing research methods in this problem are also described..
Finest Budget for Secure Tetragonal Lattice TPM in Alleyway Graphical Methodology
Authors: Et. al. K. Saravanakumar,
Published: January 2024

The proposed method provides the Optimum Basic Feasible Solution for the given balanced TPM through graphical method. This proposed method which is derived by this methodology is 100% matching with VAM and LCM. All the derived paths of this model provide OBFS with any one of the so called method
New mobility Scheme based on SDN in Wi-Fi network
Authors: Et. al. Hind Sounni,
Published: January 2024

The massive use of wireless device and the increasing of traffic volume lead to find solutions to extend the coverage and increase wireless LANs' capacity. Given the distributed nature of 802.11-based WLANs, the existing solutions can become inefficient. Mobility is one of the main challenges when implementing a Wi-Fi network. Most mobile devices require a permanent connection to the desired services. An interruption of these services can occur during handover, i.e., when the access point is changed. This paper proposes a new mobility scheme based on an emerging technology called Software-Defined Networking (SDN). This technology allows centralized management, dynamic, automated configuration, and planning of the wireless network. A network simulation using Mininet Wi-Fi is done to analyze and compare the proposed mobility scheme's performance to the existing mobility protocol (PMIPv6). The results are very promising and prove the efficiency of our mobility system
The Leadership and the institutional excellence at the Saudi Arabia's Universities in the light of the vision 2030: An applied study on the academicians
Authors: Et. al. Yousef A. Baker El-Ebiary,
Published: January 2024

The study aims to identify the demographic variables that are effective in leading the academic staff in general and to identify the most important obstacles that may prevent the empowerment of academics in various sectors in terms of leading projects in an academic way. Descriptive analyzes are used to find the level of academic leadership. We do not find statistically significant differences in academic leadership in Vision 2030 due to demographic variables such as gender, age, degree, place of residence, nature of work and experience. It was found that the most effective obstacle to academic empowerment in Saudi Arabia is the weakness of some equipment and capabilities that may provide the academic segment in some universities. The study recommends continuing to support decision-makers in state institutions in general and educational institutions in particular to empower academics in the academic aspects and activate the media role in continuing awareness of the importance of leading academics in the practical side and expanding the provision of vocational training
Lab Implementation of IPv6 in Enterprise NetworkUsing Cisco Packet Tracer
Authors: Et. al. Mohammad Ali Sadat,
Published: January 2024

As technology is growing fast, using technologies is also increasing because the previous technologies cannot support the new requirements. In this case, every company is trying to implement newly released technologies. As IPv4 was introduced, it has been used for a long time in networking. But now, the limitations of IPv4 are too much, such as address limitation, subnet-ting with complex structure, inefficient NAT employment. This is why IPv4 is not considered to be used anymore. Because of IPv4 problems, the IPv6 protocol is designed and developed to overcome IPv4 limitations. The efficiency of IPv6 is more in packet processing, and routing pro-vides a simple network configuration and improves the QoS by decreasing latency in the time of the data packet transformation. As IPv6 has many features and new supported services.

With the emergence of IPv6, any enterprise companies are interested in implementing IPv6 in the enterprise network. An enterprise network includes protocols, virtual and physical networks that connect all systems and users on a LAN, and all applications in the cloud and data center. The main purpose of this research is to implement ipv6in the enterprise network. We used the latest version of the Cisco packet Tracer for simulation purposes. Cisco packet Trace can simulate necessary routing using EIGRPv6, OSPVv3, and RIPng and application layer protocols.
Maximum Element Corresponding Minimum Appears In Row Or Column Allotment Method To Appraise Enhanced Groom Pattern
Authors: Et. al. S. Saravana Kumar,
Published: January 2024

In this article, proposed methodology namely Maximum Element Corresponding Minimum Appears in Row or Column Allotment Method is justified to finalize the feasible solution with respect to minimize the cost from the basic feasible solution set for the transportation problems. The proposed methodology is a distinctive way to gain the feasible (or) may be optimal solution without interrupt the degeneracy condition.
Stopping Power of Electrons and Protons inPolyethylene TerephthalateC10H8O4, and PolyurethaneC17H16N2O4
Authors: Et. al. Noor Hilal Hadi,
Published: January 2024

In this work ,the entireprotons stopping power has been calculated by using Ziegler formula. The protons’energy range were (10-2 keV to 103 keV). The entireelectrons stopping power with using Bethe-Blochformula was designed, the verve range of electrons as of 10 keV to 105 keV in PolyurethaneC17H16N2O4, and Polyethylene terephthalate C10H8O4which as a polymeric materials for manufacture the astronaut suit.The results in this research were compared with the values of the E-STAR program for light charged particles (electrons) and the values of the SRIM program for the heavy charged particles (protons), and they showed good compatibility and all the mentioned equations were programmed in MATLAB2013 language.
On Solving Transportation Problem – Linear Path Approach
Authors: Et. al. B. Rajalakshmi,
Published: January 2024

Aim of this study is to determine the optimal cost for the given rectangular (or) square grid corresponding transportation problem along with balanced and unbalanced manner. We proposed the algorithmic way to provide cost from supply to the corresponding demand of the transportation problem in graph theoretical way to obtain minimum cost than the existed method in Operation Research. The proposed research brings out anoptimal basic feasible solution derived through graph theoretical method. It provides more than hundred percentage matching with so called existed method’s optimal basic feasible solution.
Optimization of VAM as Pattern – Connected Edge Weighed Graph
Authors: Et. al. K. Thiagarajan,
Published: January 2024

The main objective of this approach is to find the optimal cost of the transportation grid in Balanced and unbalanced ways of the TPM derived from the edge weighted connected non-complete graph. The proposed approach of this article is in a particular path representation of the given transportation problem to ensure the Optimal Basic Feasible Solution by Vogel’s Approximation Method for the derived TPM from the edge weighted connected non-complete graph. Optimal Basic Feasible Solution is also provided with the existed methods in operation research field with particular pattern at some extent
Reform And Development Of E-Banking In Modern Age Scenario: An Indepth Study Based On Malaysian Banking Sector
Authors: Et. al. Luo Zhihui,
Published: January 2024

Banking has seen substantial change with the invention of the Internet; however, it is not yet revolutionized. to beleaguer reducing the threshold for financial institutions to access the Internet to only simply-because this is widely recognized as e-banking, in June 2000, the Central Bank of Malaysia allowed the banks to go online many big financial institutions have provided online banking services for the general public for at this period. The purpose of this article is to summarize the many ways in which online banking is widely used in Malaysia the first phase is an analysis from Chung and Payter in their earlier work on U.S. neighborhood banks that finds the most trusted financial institutions within a metropolitan region (2002). In the third phase, the experiment studies the various types of e-banking goods, to make sure that they meet the requirements of the customers who accept them. Cents were turned in, out of which, about fifty percent of which were from e-banking users, but the number of completed responses was 542, because the number of unusable entries was less than one percent of that number. Most adopters took advantage of the app for simple tasks such as checking their balance and transaction summaries, as well as carrying out numerous financial investigations, but only a handful used the various resources and functions. Around half of the consumers find it easier to pay their monthly bills by doing so via the online facility, while the other half found accesses being made either at their office or from home. People were persuaded by their friends and family members to use electronic banking. It indicates that the relative abundance of adopters was greater in the younger age classes, along with those who received higher incomes, and often occupied leading positions in their careers.
Impact Of Threats On The Prosperity Of Automotive Industry: An Exploratory Study Based On Malaysia
Authors: Et. al. DR. Amiya Bhaumik,
Published: January 2024

Located in South-East Asia, the country takes into account costs and bargains competitively in the importation of non-landed process outputs that are vital to the process of vehicle manufacturing in both regional and global markets. The business-friendly Malaysian economy is reinforced by a free-market approach Germany is Malaysia's second largest trade partner among the ASEAN nations. The vehicles produced in Germany and sold in Malaysia form the majority of the country's total sales, while automobile component exports amount to a significant amounts in Malaysia. Many German automakers have historically entered the Malaysian market, but few of them do so today. Affiliated corporations, such as BMW and Mercedes-Benz, implement program amenities such as a delivery service like that Trade-only depictions will not come from conventional partners but will be re-destined to traditional partners. There was an impressive delivery of varieties, such as BMWs and Mercedes, for instance. The upcoming liberalization of Malaysian manufacturing is predictable, and indigenous firms have no choice but to take action to change everything they can to reduce costs. To cater for rising demand, minding any topic problems necessitates wide-ranging competencies. Furthermore, considerable investment in spotless serviceable vigor has been invested in by the automakers, and non-automotive divisions have achieved prominence. rapid and relevant conversations are made With respect to Malaysia, a formal research has been carried out to understand the issues and opportunities faced by the automotive industry The investigation is based on primary and/supported by secondary facts. Stakeholders of the automotive industry were the primary sources of the information. Foreign evidence is used in various publications such as the publications of the car industry, the internet, and online magazines, and business journals as well as well as general trade publications. Found out that the study has shown that, Malaysia is a big producer and exporter of transportation fragments, as well as of additional car buyers. Conclusions and recommendations have been made for this investigation.
An Exhaustive Review on State-of-the-art Techniques for Anomaly Detection on Attributed Networks
Authors: Et. al. Wasim Khan,
Published: January 2024

Social Network sites are one of the most prominent websites used in almost every facet of life. A social network reflects relationships among social entities, including acquaintances, co-workers, or co-authors. With the extreme success of Social networks, the misuse has also been escalated and unlocked the way for various illegal behavior and security threats. Social Network anomaly detection has become a critical topic to be explored by researchers. The nature of the input data is a significant aspect of an anomaly detection technique. In the field of anomaly detection in the social network, input networks can be classified as static or dynamic, Attributed or unattributed. The number of nodes and the connections between the nodes in static networks would not change with time. Attribute networks are pervasive in various domains and constitute a vital element of modern technological architecture, where node attributes support the topological structure in data exploration. While social networks build up over time, evaluating them as if they had been static is very beneficial. Numerous studies have been done for Anomaly detection, but to the best of our knowledge, research in static attributed anomaly detection has been very limited. This review tries to portray earlier research on detecting anomalies for social static attributed networks and thoroughly discusses state-of-the-art embedding approaches
Interventions to improve motor, social and cognition in children with developmental delay: A systematic review
Authors: Et. al. JaeHo Yu,
Published: January 2024

The aim of this review was to evaluate the effectiveness of physical therapy interventions reported for use in children with delayed developmental to improve motor skills, cognition, and social skills outcome. PubMed, PEDro, and Google scholar were systematically searched to source for full-text studies published in peer-reviewed journals from 2010 to 2020 for current physical therapy interventions in children with developmental delay. Outcomes were motor skills, social skills, and cognition ability. Results Searches identified 20 randomized trials including 1132 children with developmental delay. Interventions were various with different sample sizes. The most used intervention was dual task with video game/VR, skill instruction and massage therapy. Other interventions such as music therapy, equine, aquatic therapy were also found. Except aquatic therapy, all the interventions type showed to be effective to improve motor, social and cognition in children with DD. Results from this review reveal that dual task with video game/VR and massage therapy are effective to improve motor and cognition and skill instruction, education program including parents is more effective for social skills improvement. The other included interventions showed to be effective, but more evidence is needed.
The Effect Of Perceived Usefulness, Perceived Ease Of Use, Perceived Risk And Technology Readiness On Intention To Use E-Banking In Jakarta
Authors: Et. al. Andre,
Published: January 2024

The transaction activity of e-banking in Indonesia has showed an increased percentage of 480% in April 2020. By taking it as phenomena, this study focuses on the intention to use e-banking in Jakarta. Independent variables such as perceived usefulness, perceived ease of use, perceived risk, and technology readiness were taken to be examined. The design of this study is a quantitative reseaech. The sample size contains 94 respondents of e-banking users collected from Jakarta area. Data from respondents were measured using bivariate Pearson correlation to examine significant relationships between the variables, with the help of computer software SPSS for statistics. The findings of this research showed perceived usefulness, perceived ease of use and technology readiness having significant effect on the intention to use e-banking services..