Volume 11 | Issue 6 |

 Abstract

Network security has become a vital issue in present scenario, as it is very important to maintain high-level security to ensure safety and trusted communication of information in a computer network. Presently data communication between network and host is leading to a different number of intrusion activities and misuses. Thus, to provide a solution for such malicious attacks, the Intrusion Detection System (IDS) came into existence and held the attention of the computer science field. There are various approaches to design an IDS. Though there is several existing literature on IDS issues, still they pose some disadvantages. It is important for IDS, to detect previously known attacks with high accuracy and unseen attacks to minimize the losses and their impact at an early stage. The process of selecting the best feature is a vital role to ensure the performance, speed, accuracy, and reliability of the detector. Here, in this research study we will try to improve detection accuracy and efficiency for hybrid IDS model based on feature optimization method using multilayer neural network (ML-NN).

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 Keywords

Intrusion Detection System (IDS), Neural Network, Feature Optimization

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Covid-19 pandemic may be the year 2020's most well-known memory, but US researchers also made history this year by creating the first living robot. While it is now smaller than a grain of salt, it has some bright prospects. This biorobot is what scientists refer to as a xenobot. A xenobot is a little robot, in contrast to regular robots. It is not constructed of plastic, metal, or another synthetic substance. In contrast, it is made entirely of organic cellular matter. Xenobots may move quickly or spin in circles. Like an insect, it can flip back over if you flip it onto its back. In essence, it is a robot that was engineered, yet it is ALIVE!. Xenobots represent a new frontier in biological robotics, with the potential to revolutionize fields such as healthcare, environmental monitoring and drug delivery. This paper provides an overview of the current state of xenobot research, including their fabrication methods, capabilities and ethical implications. It also discusses the challenges and future directions of xenobot research, highlighting their potential applications and impact on society.

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 Keywords

Xenopus Laevis, Evolutionary AI, genetic algorithm, Bioengineering, CRISPR1.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Homemade fertilizers are prepared using kitchen scraps or waste like grass, dry leaves, neem leaves, onion peel, potato peel, carrot peel, turnip peel, and papaya peel were compared with commercial fertilizers on coriander and fenugreek plants. The plants were kept in small pots and were grown in pot mixing at favorable condition. Seed were studied for germination and growth studies as well as wet and dry weights were compared between commercial fertilizer, homemade fertilizer and tap water treated seeds. There was no significant difference between commercial and homemade fertilizers tested on fenugreek plants. However, there was a significant difference between the homemade and commercial fertilizers on coriander plants.

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 Keywords

homemade fertilizers, kitchen waste, Pot pourri fertilizer, Coriander seeds, Fenugreek seeds, seed germination, seed vigor

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In regards to NEP 2020, experiential learning is gaining popularity in India. Students who participate in experiential learning gain knowledge by becoming fully involved in an experience and by reflecting on it. They acquire new knowledge, attitudes, and abilities in this way. The aim of the current study was to compare the efficacy of the experiential learning approach with the traditional method for teaching mathematics to primary school students. Instructional treatment was carried out for three days in both experimental as well as control group. The sample consisted of 40 sixth-grade students of govt. senior secondary school of district Gurugram (Haryana, India). A pretest-posttest control group design was employed in the investigation. The sample for the research replied to the achievement test and experiential learning program on three topics of geometry constructed by investigator. The two-way ANOVA (2x2 factorial design) and t-test were used for data analysis. The findings showed that (a) students who were exposed to experiential learning programs learned more than those who were taught using traditional method, and (b) low achievers were more likely to benefit from experiential learning approach than high achievers.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Experiential Learning, Primary school students

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Good governance and internal control are critical components of organizational success. Effective governance ensures that an organization is managed in a transparent, accountable, and responsible manner, while internal control ensures that processes and procedures are in place to minimize risks and prevent fraud. The use of technology has revolutionized the way organizations operate, and it has become an essential tool for improving governance and internal control. Technology can be used to improve governance by enhancing transparency and accountability. This increased transparency helps to build trust and confidence among stakeholders, which is essential for effective governance. In conclusion, the use of technology is essential for improving governance and internal control. By enhancing transparency, automating processes, improving risk management, and promoting communication and collaboration, organizations can create a culture of accountability and responsibility, which is essential for long-term success.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Governance, Internal Control, Risk Management, Technology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The sense of one's identity or self is an important dimension of individual's personality giving each one of us unique individuality. Women and depression is holding a relationship of much interest over the last two decades. As more and more women enter the work force, they are increasingly exposed not only of the same work environment as men, but also to unique pressure created by multiple roles and conflicting expectations. The main purpose of the research was to find out the difference in marital adjustment and depression of working and non working married women. The total sample consisted of 100 working and non-working married women (working married women = 50, non-working married women = 50). The Marital Adjustment Questionnaire and Mental Depression Scale were used for collection of data. Obtained data treated with the help of Mean, SD, t and Correlation statistical techniques. Results indicated that employment status affect significantly on depression of married women. Besides it, there was negative correlation found between marital adjustment and depression of working and non-working married women.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Marital Adjustment, Depression, Married Women, Working and Non-Working.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

When electricity is intentionally turned off for extended periods of time over a certain distribution region, this is known as load shedding. In these situations, dynamic load shedding optimizes the power distribution. The connected loads are prioritized by microcontroller units called NodeMCU and Arduino NANO based on a predetermined threshold for power consumption. Current sensors provide input to the microprocessor, which are used to compute power usage. In a 16x2 LCD module, the overall power consumption of various loads is displayed. The microcontroller unit determines whether or not the power usage falls within the parameters. The alarm buzzer functions to alert the user for a set amount of time if the NodeMCU module detects overuse. A signal is sent to the relay to shut off the power supply if the overuse persists. A Wi-Fi module is integrated into the NodeMCU module. Consequently, it is possible to connect this load system to the authority server. After that, control over policing energy use will be in the hands of authority. The power supply might be manually shut off if the authority notices excessive usage. Similar to this, different loads can be tracked, and when there is an excessive use, or above the threshold, the power supply can be shut off. Power-consuming loads that are below the threshold may continue to function uninterrupted. Proteus 8 Professional is used to complete the simulation of the arrangement. Hardware circuit is completed and the model measures the power consumed and performs the load shedding procedure accordingly. The data collected is then send to the server through the ESP8266 module. The website for both the admin side and the consumer side was designed using HTML and PHP. The website receives data like the power consumed, peak hour setting, consumer details and energy billing.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

NodeMCU, Arduino NANO, IoT-Internet of Things, Dynamic Load Shedding, Load Management

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The conflict between modernity and tradition and the reciprocal relationship between authority and gender is the main topic of the drama The Lion and the Jewel. The article looks at the main disputes between traditionalists and modernists. Additionally, it highlights on how the author explores the conflict between tradition and modernization in Nigeria by using personality, and structure. where Baroka, Sidi, and the rest of the illiterate Ilunjule population serve as a representation of the ancient civilization. collide with a contemporary society being headed by Lakunle, a professional school teacher who has been inspired by Western culture.

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 Keywords

Tradition, western, old, new, domination, modernity, bride price, marriage.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Introduction:- Volleyball has become one of the most widely played participant sports in the world. In Volleyball balance, agility and lower limb explosive strength plays important role. In the absence of optimal balance, sport performance can be negatively influenced in repetitive jumping, sprint and in activities involving agility. For this reason , balance and jumping should be considered together in athletes. The purpose of proprioceptive training is to advance the complex activity of the neuromuscular system. Effect of proprioceptive training on sports performance is minimally studied so it is importance to check where Proprioceptive exercise training can improve the balance, agility and lower limb explosive strength in amateur volleyball players. Method:- 32 male amateur volleyball players in age group of 18-25 years were included and divided into two groups. Players having lower limb injury, Musculoskeletal problems and any medical condition that would impair their playing activities were excluded. Intervention group (Group A) followed Proprioceptive training programme for 5 weeks and control group (Group B) does not perform any exercise they continue to do their daily activities. Proprioceptive exercise training consist of five weeks ( 3 days / week , 10 reps / exercise) . After 5 weeks star excursion balance test, T- test of agility, vertical jump test was performed again and paired t -test and Unpaired t-test is performed to compare results in intragroup and intergroup respectively. Results :- Both groups improved significantly at the end of 5th week but intervention group showed highly significant difference for balance , agility and lower limb explosive strength as compared to Control group (p<0.05). Conclusion:- Proprioceptive exercise training is effective in improving dynamic balance, agility and lower limb explosive strength in amateur volleyball players.

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 Keywords

Balance, Agility, Lower limb explosive strength , Proprioception

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Task scheduling is a fundamental problem in computer science that involves allocating computational resources to a set of tasks in an efficient and timely manner. The optimization of task scheduling is crucial in improving system performance, reducing execution time, and maximizing resource utilization. Particle Swarm Optimization (PSO) is a metaheuristic algorithm inspired by the collective behavior of bird flocking or fish schooling. This abstract presents a novel approach to task scheduling using Particle Swarm Optimization. The proposed method aims to find an optimal scheduling solution by leveraging the inherent parallelism and exploration capabilities of PSO. The problem is formulated as a multi-objective optimization task, considering objectives such as minimizing makespan, load balancing, and energy consumption. In the proposed approach, a population of particles represents potential task schedules, where each particle's position corresponds to a specific scheduling solution. The particles collaborate by sharing information about their best-known positions, called personal bests, and the overall best-known position, called the global best. Through a series of iterations, particles update their positions based on their own experience and the collective knowledge of the swarm. To guide the search process, a fitness function is defined that evaluates the quality of a scheduling solution based on the specified objectives. The fitness function considers factors such as task dependencies, resource constraints, and system characteristics. By iteratively evaluating and updating the fitness values, the PSO algorithm gradually converges towards an optimal or near-optimal scheduling solution. Experimental results on benchmark task scheduling problems demonstrate the effectiveness of the proposed PSO-based approach. It achieves significant improvements in terms of makespan reduction, load balancing, and energy efficiency compared to traditional scheduling algorithms. The approach also exhibits robustness and scalability, allowing it to handle larger problem instances efficiently.

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 Keywords

Cloud Computing, Task Scheduling, Particle Swarm Optimization(PSO), Best-Fit(BF), Global-Fit, Cloud Sim Tool, Virtual Machines.

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Creative Commons Attribution 4.0 and The Open Definition