Volume 10 | Issue 12 |

 Abstract

Over the last few decades, historians and researchers have been increasingly inclined to conduct research on the regional history. From that sence, the interest in knowing the history of Manbhum's freedom struggle has been increased. In 1833, Manbhum district was formed through various setbacks. It was one of the largest districts of India and can be said to be one of the areas of the anti-British war of independence. Many leaderships were emerged at the local, regional, as well as at the national level through this anti-British freedom movement. Their dedication, self-sacrifice, sense of responsibility, taking risk of life was no less than the national leaders. Stapping out beyond the boundaries of the four walls, women also joined the anti-British freedom struggle along with men, whose entire history still remained in darkness. Lavanya Prabha Ghosh, who later became famous as Manbhum Janani, was one of the women leaders who came forward to organize and lead the organization of the women of Manbhum in the anti-British war of independence. The article highlights her role in freedom struggle of Manbhum district.

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 Keywords

Manbhum, Movement, Freedom, Satyagraha, Lavanyaprabha, Shilpashram, British, National, Women, etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Eco-consciousness. Eco-criticism, Temsula Ao, Northeast literature

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Creative Commons Attribution 4.0 and The Open Definition

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With the rapid growth of document storage in modern society, handwritten character recognition has become an important research branch in the field of machine learning and pattern recognition. Meanwhile, how to effectively extract and store the information from documents plays a critical role in the document digitization system, especially in terms of ancient literature storage. However, handwritten characters vary with the writers and writing materials, even handwritten texts with the same content may have many differences, which brings challenges to the establishment of a high reliability recognition system. This project seeks to classify an individual handwritten word so that handwritten text can be translated to a digital form. We used two main approaches to accomplish this task: classifying words directly and character segmentation. For the former, we use Convolution Neural Network (CNN) with various architectures to train a model that can accurately classify words. For the latter, we use Long Short Term Memory networks (LSTM) with convolution to construct bounding boxes for each character. We then pass the segmented characters to a CNN for classification, and then reconstruct each word according to the results of classification and segmentation. This work aims to implement a segmentation strategy in the context of handwritten multi-digit string recognition. The LSTM model is built to be evaluated and benchmarked, also research about the effect of the different training sets on model performance is carried out. Finally, the text can be converted to digits, alphabet, and Tamil characters.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Deep Learning, Hand Writing Recognition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

For the easy and flexible management of large scale networks, Software-Defined Networking (SDN) is a strong candidate technology that offers centralisation and programmable interfaces for making complex decisions in a dynamic and seamless manner. On the one hand, there are opportunities for individuals and businesses to build and improve services and applications based on their requirements in the SDN. On the other hand, SDN poses a new array of privacy and security threats, such as Distributed Denial of Service (DDoS) attacks. For detecting and mitigating potential threats, Machine Learning (ML) is an effective approach that has a quick response to anomalies. In this article, we analyse and compare the performance, using different ML techniques, to detect DDoS attacks in SDN, where both experimental datasets and self-generated traffic data are evaluated. Moreover, we propose a simple supervised learning (SL) model to detect flooding DDoS attacks against the SDN controller via the fluctuation of flows. We verify the outcome through simulations and measurements over a real testbed. Our main goal is to find a lightweight SL model to detect DDoS attacks with data and features that can be easily obtained. In this study, DDoS attacks in SDN were detected using machine learning-based models. First, specific features were obtained from SDN for the dataset in normal conditions and under DDoS attack traffic. Then, a new dataset was created using feature selection methods on the existing dataset. Feature selection methods were preferred to simplify the models, facilitate their interpretation, and provide a shorter training time. Both datasets, created with and without feature selection methods, were trained and tested with K-Nearest Neighbors (KNN) classification models. The test results showed that the use of the wrapper feature selection with a KNN classifier achieved the highest accuracy rate Our results show that SL is able to detect DDoS attacks with a single feature. The performance of the analysed SL algorithms is influenced by the size of training set and parameters used. The accuracy of prediction using the same SL model could be entirely different depending on the training set. This project is developed using PYTHON, PyCharm as IDE, Kaggle dataset.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Software Defined Network, Machine Learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Consumers are said to be the main components of the Kerala economy. Using products that are not harmful to nature is essential for the development of Kerala. Change the existing environmental awareness in Kerala and highlight the environmental responsibilities of the society is essential . Water pollution, air pollution and noise pollution are the main problems that Kerala is facing in today's era. This study shows how knowledgeable the people of Kerala are about environmental products. This study is also a journey to answer the question whether the public in Kerala is reluctant to buy green products or not. This study also tries to find out whether consumers are making interventions in Kerala society in such a way as to promote green products. Through this study green products are studied which are acceptable to consumers in Kerala.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Consumption behaviour, green product, sustainable goods, environmental awareness, environmental friendly goods

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Compacting of concrete is one of the major concepts in civil construction in day-to-day life. The main factors effecting due to improper compacting concrete causes leakages, corrosion which finally leads disintegration of the structure in order to encounter this conflict we prefer good compacting as also compaction plays prominent role in any civil constructions. based on availability resources and type of construction different methods in compaction is preferred. So based on some critical areas and places where human and machine involvement is restricted in those areas we can go prefer for Self-compacting concrete. This is what my thesis completely talks about the process and requirements that necessary to make the study successful.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Compacting, Admixtures, Filling ability, Passing ability

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In hilly terrains VANET high speed is the real characteristics which leads frequent breakdown, interference, high noise ratio etc. that further leads to more drainage of the battery. Researchers have elaborated several routing protocols that possess different performance levels. In this paper we studied various Ad hoc routing protocols, Reactive, Proactive & Hybrid, taking in to consideration various VANET parameters like Speed, Altitude etc. in Real traffic Scenario taking battery drainage at the altitude of 1500m. The AODV and DYMO (Reactive), OLSR (Proactive) and ZRP (hybrid) protocols are compared for battery model Panasonic AAA standard using Qualnet as a Simulation tool. Since Energy conservation is main focus area nowadays. Hence performance of the protocols with various battery models counts and helps to make a right selection. Varying parameters of VANET shows that in the real traffic scenarios proactive protocol performs more efficiently for energy conservation leads to minimum drainage.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

VANET, Routing Protocols, Battery model, Qualnet, Nodes.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The objective of the present paper is to explore the gray areas of father-daughter relationship particularly the incestuous behaviour or overt or covert sexual misconduct between them. Such relationship is found in a dysfunctional family, which implies that emotional and psychological communication between family members are disturbingly impaired because apparently the family may appear nice and disciplined only to cover up the damage. But as a matter of fact father-daughter incest causes severe distress to all concerned. It is prohibited de jure but it is found de facto in families. Under legal questioning/proceedings and psychoanalytic help, incestuous fathers have been found neither criminal, nor degenerate, nor sexually psychopathic. This gross violation of father-daughter incest taboo not only creates confusion in religious order of life, kinship structures, culture and society but also poses a question mark on the nature of sexuality.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Incest, sexuality, relationship, dys/functional family, society, culture, religion, psychology.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There are two different sorts of skills that are relevant. The first group of skills is made up of transferable abilities that may be used in any position. Your capacity for success in the job is directly correlated to your level of interpersonal and communication skills, in addition to any and all other traits that you may possess. One of the attributes that are necessary to succeed in this line of work is a strong set of technical abilities. Some examples of marketable soft talents are the ability to use computers, administrative skills, and excellent customer service. Doing some study will help you have a better understanding of the difference between hard skills and soft abilities. Candidates seeking employment in the business sector are often expected to demonstrate an aptitude for good communication not only verbally but also in written form. Employers are always on the lookout for job candidates who have strong interpersonal communication skills since these skills are highly transferable from one role to another within an organization. As a result, working in tourism requires employees to have interpersonal or personal skills; the development of these types of soft skills has emerged as one of the primary concerns for employers in the hospitality industry. The findings of earlier research on the abilities associated with soft skills will be expanded upon in this study, and a practical model will be developed to evaluate the disparities in importance that exist between soft skills and how well they are performed. The Importance/Performance Analysis was utilized so that the differences in opinion regarding soft skills that exist between managers and employees could be investigated. The relevance of an employee's overall performance on their soft skills was plotted against an HR professional's overall score on the importance of their soft skills. In addition to that, this model suggests utilizing radial graphs in order to provide individual feedback regarding soft skill competencies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Job Skills, Best Practices, Professionalism, Leadership, Time management, Customer service, Strategic thinking

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT In recent years there has been considerable advancement in the scientific methods of groundwater investigations. Ground water is regarded more like a mineral resource and therefore prospecting for it involves use of geological and geophysical methods. Hence for locating and identifying presence of water bearing formations, applications of geophysical methods is widely recognized. The vertical electrical sounding with Schlumberger array as a low cost technique and veritable tool in groundwater exploration is more suitable for hydrological survey. This method is regularly used to solve wide variety of groundwater problems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

resistivity, basalt.

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Creative Commons Attribution 4.0 and The Open Definition