Volume 8 | Issue 12 |

 Abstract

: In 2020 data consuming is increasing and big amount of data has been stored by different organization and researcher have to understand the data is much important before launch some product. And understanding data we need to understand first is how many types or how many ways we can store that particulate data. So that why we have to understand data structures. Which type of data we have? that�s why we have to learn what is the data structures. A data structures is special way to store and organize data in computer so it can be used efficiently. list, dictionary, tuple set, stack, queue, tree, linked list, graph, hash map are all data structures in python programming language, we can store the data in special way, so after that we can access that data effectively. each of every data structure mentioned has different way to organize the data. So, we can choose different type of data structures based on the requirements.

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 Keywords

: python programming, built-in data structures in python, data structures operation and functions.

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: Machine learning techniques are being widely used to develop an intrusion detection system (IDS) for detecting and classifying cyber-attacks at the network-level and host-level in a timely and automatic manner. However, no existing study has shown the detailed analysis of the performance of various machine learning algorithms on various publicly available datasets. Deep Neural Network (DNN), a type of deep learning model is explored to develop flexible and effective IDS to detect and classify unforeseen and unpredictable cyber-attacks. The continuous change in network behavior and rapid evolution of attacks makes it necessary to evaluate various datasets which are generated over the years through static and dynamic approaches. This type of study facilitates to identify the best algorithm which can effectively work in detecting future cyber-attacks. A comprehensive evaluation of experiments of DNNs and other classical machine learning classifiers are shown on various publicly available benchmark malware datasets. Our DNN model learns the abstract and high dimensional feature representation of the IDS data by passing them into many hidden layers. Through a rigorous experimental testing it is confirmed that DNNs perform well in comparison to the classical machine learning classifiers. Finally, we propose a highly scalable and hybrid DNNs framework called Scale-Hybrid-IDS-AlterNet (SHIA) which can be used in real time to effectively monitor the network traffic and host-level events to proactively alert possible cyber-attacks.

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 Keywords

Deep Learning, Neural Networks, Intrusion Detection System, cyber attacks

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Internal migration is part and parcel of the Socio-economic social life of India. Under the Epidemic Diseases Act, 1897 and the Disaster Management Act, 2005 on 24 March, the government of India without any proper plan declared lockdown leaving billions of people in distress. India has witnessed its biggest migrant crisis. Several migrant workers were laid off by their employers thereby causing mass unemployment. They were exposed to hunger, with practically no help from the government; with no money to feed themselves and their families amid the pandemic. The disadvantaged segments of the society have experienced maximum impact of lockdown amid COVID-19 pandemic. Deprivation of basic necessities leads to human rights violations. This paper aims to bring forth the impact of lockdown on Migrant workers of India amid Covid-19 pandemic and violation of their Basic human rights; and fur aims to analyse whether absence of coherent policy framework poses challenges for migrant workers

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 Keywords

Migrant Workers, Lock Down, Human rights,

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The available data on social media has contributed to vast research using sentiment analysis. The twitter-based social media represents a gold-mine approach for analyzing the performance of the brand. Large opinions of the people are found over Twitter that are honest, informative, and casual as compared to the formal type of data-survey analysis using magazines or reports. Millions of people share and express their sentiments over the media discussing about the brands whom they interact with. Sentiment analysis has turned out one of the most significant tools in natural language processing because it opens up numerous possibilities to understand people�s sentiments on different topics. The purpose of an aspect-based sentiment analysis is to understand this further and find out what someone is talking about, and whether he likes it or does not like it. There have been various ways to deal with handle this issue, utilizing machine learning. In this thesis, labelled data is used based on polarity and Tweets pre-process and extract unigram features after pre-processing of the tweets. In pre-processing, the noisy data is removed by using tokenization; stop word removal and stemming these processes remove the duplicate data like to repeat words, hash tags and emoji�s. These features and label learn by SVM, ANN and a hybrid of KNN and ANN (hybrid). In proposed experiment Ensemble approach shows improvement in precision and accuracy than other

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 Keywords

Sentiment Analysis,Semantic Base feature, social media, natural language processing,twitter

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Curfewed Night is the first English language narrative by a young Kashmiri Muslim that describes Kashmir�s tumultuous history as lived experience. The present paper explores the living conditions of Kashmiris in 1990s on physical, social, psychological and political level.

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 Keywords

Militants, Brutality, Torture, Military, Maim, Kasmiri Pandits.

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Reiki is an ancient healing therapy, which was utilized at the time of the 19th century in India which helps to maintain the physical, mental, emotional, spiritual balances within a person�s body. Reiki is an effective healing delivery system that addresses wonderful glowing radiances which passes through or around the biological systems. Reiki shows benefits also in reducing the side effect of chemotherapy and radiation therapy which are commonly utilized for the treatment of cancer. Reiki corrects some diseases by maintaining enzyme activity within the body like neurodegenerative disorders, anxiety, depression also show benefits into CVS minimizing all type of heart disease as like Hypertension, angina. The principle of the reiki depends on the stimulation of chakra and aura within-person. We studied this topic about the role of this therapy on the body. Hormonal balance results due to stimulation of system shows benefit with control on mental and physical consequences. In one of the study, we found that therapy is very cost-effective and manage the disease state better than placebo effect commonly utilized for correction in neurodegenerative disorders. It minimizes exacerbation of diseases like cancer which can produce fatality and thus there is a need to utilize the therapy in the present era. It is easy to learn and transfer. Completing a two-stage course from any reiki education center and practicing the therapy over the world affords low-cost consumption and increases the chances to minimize the deadly disease rapidly changing their form in India.

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 Keywords

Reiki, healing, chakra, Aura, Neurodegenerative disorders, Cancer.

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Ageing can be defined as the process of progressive change ,which occurs with the passage of time ,independent of the varies of life ,the assaults of disease and the random abuses of social living. It is a universal phenomenon in the lives of humans from conception, and according to most biologists the aging begins from the fourth decade of life and ends with death, the end of biological life. The process of human aging is complex and individualized, occurs in the biological, psychological and social sphere .Objectives To assess the prevalence of psycho � social problems among elderly in urban population of Palasa , Srikakulam. To associate the prevalence of psycho �social problems among elderly in urban population with their selected demographic variables. Methodology A descriptive design was employed by using Non probability convenient sampling technique. Data was collected from the psycho-social problems among 100 elderly in urban population, of Palasa, Srikakulam, Andhrapradesh. Data analysis consisted of descriptive and inferential statistics . Results In this study out of 100 elderly urban population 33(33 %) had low Anxiety ,51 (51%) had moderate Anxiety, 16(16 % )had high anxiety of psycho �social problems .26 (26%) had low depression ,54 (54%) had moderate Depression ,20 (20%) had high depression of prevalence of psycho-social problems , 46 (46%) had low financial problems ,34 (34%) had medium financial problems,20 (20%)had high financial problems of psycho- social problems .26 (26%) had low spiritual 50 aspects(50%) had medium spiritual aspects ,24(24%) had high spiritual problems of psycho-social problems . 28(28%) had low stress,49(49%) had medium stress,23 (23%) had high stress of psycho-social problems . Conclusion The Social problems refer to family burden, social isolation, dependency and financial problem.The present study finding serve as a basis for the professionals to conducted further studies on psycho-social problems .Awareness Programmes should be conducted to the different urban area and also can conducted to the same study with different variables on a large sample. Effective teaching materials and audio visual aids should be used to communicate the ideas there by improving their knowledge and attitude towards the psycho � social problems among the elderly.

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A STUDY TO ASESS THE PREVALENCE OF PSYCHO �SOCIAL PROBLEMS AMONG ELDERLY IN URBAN POPULATION OF PALASA, SRIKAKULAM ,ANDHRAPRADESH.

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Suzuki coupling reaction used for preparation of methyl 4-(5-methyl-1H-indazole-4-) benzoate. A derivative of 5-methyl-4-phenyl-1H-indazole are prepared with excellent yield by acid amine reaction and cyclization using T?P (propanephosphonic acid anhydride) and Triphosgene serve as catalyst, respectively. The prepared derivatives 4-(5-methyl-1H-indazol-4-yl)-N-(1-phenylpropyl) benzamide and 5-(4-(5-methyl-1H-indazol-4-yl)phenyl)-1,3,4-oxadiazol-2(3H)-one are characterized by ESI mass spectroscopy and1HNMR.

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 Keywords

Acid-Amine coupling, Indazole, Triphosphosgene, Suzuki coupling, Tetrakis

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 Abstract

Operating theatre (OT) is always and the most important sector of the hospital and its surgical process management problem is always regarded as the kernel Operation Theatre itself is referred as the heart of hospital system. The current operation theatre scheduling in the hospitals of India are inefficient Interconnection of different hospitals is not present creating a chain of hospitals of different areas nearby and scheduling of theatres and reviewing the scheduled Operation Theatre(OT's) takes a lot of time. If a new case appears for operation the schedule of other operations needs to be reviewed very properly taking lot of time to search for free slot to avoid creating a clash. Even during a serve accident it takes a lot of time sometimes due to traffic or various reasons that causes delay to reach the hospital nearby. If the interface or user friendly application is created providing linking and interconnection of different hospitals in nearby areas with providing all the details of hospitals interconnected with free slots of Operation Theatre(OT) availability of doctor, availability of staff, current machineries and other details of various hospitals at various locations it will save a lot of time by viewing all the details of various interlinked hospitals and shortest route to reach that hospital it can be also served as an emergency platform for a victim.

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 Keywords

Android Application, Searching algorithm, Availability of OT, Surgeries, Emergency

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 Abstract

The majority of building structures are designed and constructed in reinforced concrete which is mainly depends upon availability of the constituent materials and the level of skill required in construction, as well as the practicality of design codes. R.C.C is no longer economical because of their increased dead load, hazardous formwork. However composite construction is a new concept for construction industry. The use of modern composite systems, allowing the erection of multi-story structural frames to proceed at pace, can make it economically prohibitive to delay the construction of each floor while concrete columns are cast. In Japan, however, the superior earthquake resistant properties of composite beam-columns have been long recognized and have become a commonly used for construction in that region. It was therefore necessary to develop seismic design criteria for typically used Indian structural systems, to advance the use of this efficient type of mixed construction. This Project shows comparison of various aspects of building. In this project a residential of G+11 multi-story building is studied for Pushover Analysis using ETABS, assuming that material property linear, static and dynamic analysis is performed. These non-linear analysis are carried out and different parameters like displacement, storey drift, Performance point, base shear are plotted. Now it is the demand of time that every structure must be analyzed and designed for lateral forces such as earthquake and wind forces. But generally it is found that the cross sectional area of RCC structural member comes out very heavy with large amount of constituent material such as steel & concrete, which takes large space in construction of multistory building. Under such circumstances composite structure is one of the best options, which not only takes care for earthquake forces but also gives less cross sectional area of structural member and provides large space for utilization in economical way.

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 Keywords

Pushover, ETABS, Performance Point, Non-linear

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