044122   ATTA R , ARABZAI S (Nangarhar Univ, Afghanistan) : Transitional justice approaches: A study of the most popular transitional justice mechanisms and lessons to be learned by Afghanistan. Int J Multidiscip Res Dev 2020, 7(2), 118-23.

States transitioning from civil war, dictatorship and other and other international brutalities adopt various mechanisms to address the crimes and injustices happened in the past. There is neither a single strategy, nor a universal strategy. Instead, states adopt one or more mechanisms according to their unique circumstances. The most popular strategies states have so far adopted are, inter alia, truth commissions, local and international trial, traditional methods of justices, reparation, and the vetting. It should be noted that the focus of all these mechanism is on a stable and prosperous future and peace. Afghanistan has also gone through various eras of brutalities since 1978. War crimes and crimes against humanity have been committed in Afghanistan by various partitas to the conflict of Afghanistan. This paper recommends that Afghanistan should adopt some mechanisms, according to its particular situation, to address the crimes and injustice committed since 1978 up to date.

67 ref

044121   THATCHINAMOORTHY C , MEENAMBIGAI J (Agricultural Extension Dep, Annamalai Univ, New Delhi) : Social media tools used for agriculture graduate student for academic performance. Int J Multidiscip Res Dev 2020, 7(2), 114-7.

New media tools are web-based information communication tools for disseminating information to a broad audience, often with shared interests. It has become a huge and integral component of how people spend their time online. It has great potential for sharing information and gaining knowledge. However, several questions have emerged about these new media tools with respect to agricultural education, research, and services. Given the expanding scope and enormity of the use of new media tools, the researchers sought to identify the activities and the level of their use related to agriculture education that is being shared in this platform. The objective of research was to determine the accessibility and extent of new media tools used in relation to students’ subject discipline. Information from students on communication techniques and activities related to agricultural education was collected through new media tools such as Whatsapp, Facebook and survey monkey and data were analyzed using mean and frequency. It was revealed that 80 % of the students were engaged in socially integrated on new media platforms. In addition, more than 70 % of students performed in social networking like Facebook and Google+. Online has entered into all departments throughout the world.

7 tables, 6 ref

044120   AZAAM W, FAKOR J (Professor and Researcher at Ghazni Univ, Afghanistan) : Position of woman in Islam and other civilizations. Int J Med Res Health Sci 2020, 7(2), 110-3.

In the past, Athenians, and Hellas who are the oldest civilized nation of the world, women were used as worthless cloths and they were buying and selling in the market and she was counted unclean, foul and member of devils, In Indian tradition, it’s narrated about women; Plague, Death, poison, Fire, Snake, and hell all are better than Women, In 586 B.C a conference was held that “Woman is human but created for the serving of man”. In England, an instruction issued by the “Eight Art” in which it was mentioned that women are banned from reciting and studying Holy books, likewise in the constitution of 1850 of England woman was not counted as part of the population, even women had this condition in the earth of Arab tribes before Islam. Women did not have the right taking inheritance from their relatives, women did not have right on her husband. Arabs at the age of Ignorance were disagreeable with women and they were taking women as sinisterly and due to shame for their other relatives, they were burning their daughters alive. Persons who were claiming to be the most civilized people of the past ages like Egyptians and Indian were not even agreed to give the humanitarian rights to the female section of the humans they counted women as most dangerous alive thing, having girl in ignorance time was a shame or they were killing their daughters due to the fear of poverty and they also believed that only women are responsible for giving female child. When Islam came Quran has clearly expressed its position for struggling with this ignorant culture, and said: «And when one of them is informed of [the birth of] a female, his face becomes dark, and he suppresses grief. He hides from the people because of the ill of which he has been informed. Should he keep it in humiliation or bury it in the ground? Unquestionably, evil is what they decide”. Also Quran Kareem has clearly mentioned that the killing of offspring especially girls are banned and forbidden whether it’s due to poverty or shame. “And do not kill your children for fear of poverty. We provide for them and for you. Indeed, their killing is ever a great sin”. From the time when Quran sent down by the Allah (swt) guides its followers and all humanity to not follow and keep away from all those actions like the killing of daughters, and Quran has also forbidden Muslims from doing actions which harm the personality of women.

12 ref

044119   SARADHA A (Economics Dep, Kakatiya Univ, Warangal, Telangana) : Impact of globalization on socio-economic and health conditions of lambada: An empirical study in Telangana state. Int J Multidiscip Res Dev 2020, 7(2), 103-9.

The Banjaras have a unique culture of their own, and it occupies an important role in Indian culture, their life style is unique which does not have anything in common either with the population of plain areas or with the local tribes who are popularly called as Banjaras or Lambadas or Sugali or Labhani are different names used for the same community, in different parts of the country. This paper examines socio-economic and health conditions of Lambada Tribes in Telangana State, how globalization affected their social, economic and cultural system has been focused. More than 90percent Lambada tribe replied that their food habit, food items, dressing pattern, traditional festival and ceremonies were being replaced by non-lambada’s cultural system. Hence there is need to respect and practice tradition and cultural values of Lambada tribe.

1 illus, 7 tables, 21 ref

044118   RAHMTALLA R O A , ADAM A A (Gezira Univ, Gezira State, Sudan) : The Importance of using speaking skill at sudanese EFL classroom. Int J Multidiscip Res Dev 2020, 7(2), 95-102.

Speaking is one of the four language skills (reading, writing, listening and speaking). It is the means through which learners can communicate with others to achieve certain goals or to express their opinions, intentions, hopes and viewpoints. This study aims to find solutions to improve and develop speaking skill at the Sudanese basic level schools, suggest activities through which teachers can help learners develop speaking skill, test and check the influences of oral authentic material speaking ability in student as a foreign language. The analysis has led to these results: Some students are shy to speak English because they afraid of making mistakes, there are no labs that train English teachers and students to listen and speak correctly, some students are shy to speak English because they afraid of making mistakes, lots of teacher use the mother tongue in teaching English. This study recommended that English teachers in basic level school must be trained and will qualified so as to be go example to their pupils, English teachers should teach English through English and avoid using translation into the mother tongue, teachers should develop their techniques of teaching to facilitate the process of learning skills

3 illus, 3 tables, 43 ref

044117   YANG X (Northeastern Univ at Qinhuangdao, Qinhuangdao, China) : The study on the characteristics of f distribution tending to normal distribution. Int J Multidiscip Res Dev 2020, 7(2), 92-4.

In this paper, we studied the specific characteristics of F-distribution when its two degrees of freedom increase with the use of MATLAB software. The results showed that when the two degrees of freedom increase, the F distribution gradually changes from a positively skewed distribution to a normal distribution, its peak value gradually increases, and its points of maximum values gradually shift to the right.

3 illus, 5 ref

044116   PARMAR M D , ROJASARA B H (CU Shah Univ, Wadhwan, Surendra Nagar, Gujarat) : Evolution and concept of RTI worldwide and in India. Int J Multidiscip Res Dev 2020, 7(2), 86-91.

Every human being has basic need to grow is information, which develop him in a informed and systematic way. Freedom of information was a concept of growing country which wants to grow transparently. Definition of Information is very wide and worldwide almost similar. 243 years ago when Sweden passed first RTI nobody knows that it will become an integral part of every democratic country. This research paper compiles all the information of freedom of information and its concept in worldwide and in India. It covers almost all aspect of journey civil right and liberties to right to information. It also covers how concept of freedom of information was in 17^th and 18^th century and how civil rights and liberties and obligation developed worldwide. On the basis of development of civil and political rights International Covenant on Civil and Political Rights adopted in 1968 and article 19 was also formulated. Universal Declaration of Human Rights was also recognize freedom of information. So this paper covers all the aspects of freedom of information.

18 ref

044115   PANDA B L , HALIM A , GUPTA M , KUMAR S (Action Against Hunger, Jaipur, Rajasthan) : Media as a development partner. Int J Multidiscip Res Dev 2020, 7(2), 81-5.

The media plays a vital role in creating awareness, mobilizing people and making development participatory through advocacy and by transforming knowledge, skills and techniques to the people. Newspapers are an important form of mass media, which plays a significant role in health promotion and is crucial for social development. The media can make a difference by advocating the importance of good nutrition and its benefits, reaching out and empowering families to prevent causes of under nutrition like diarrhoea, malaria, poor infant feeding practices and poor hygiene practices. The major objective of this paper was to examine how media as a development partner and acts as a change agent. It also assesses the involvement of media in development activities through different strategic engagement of media in Rajasthan. It finds out challenges and suggests measures for the efficiency of the media as a sustainable partner. The media consequently has to be seen as an important partner in the development paradigm, with its own views and agenda, rather than a delivery mechanism for scientific messages.

23 ref

044114   SUTISNA E , FIKRIAH , SUHARA E (Jakarta Islamic Univ, Jakarta, Indonesia) : Exploring organizational learning and innovation within Indonesian batik SMEs. Int J Multidiscip Res Dev 2020, 7(2), 75-80.

The aim of this study is to explore the organizational learning and innovation practices within small and medium scale companies. This study performs a Manova to examine the effect of four company attributes on the capability level of organizational learning and innovation. This study applied a survey method to collect data concerning organizational learning and innovation practices. The instrument used in the study is structured questionnaires distributed directly to the respondents. The sample involved comprises 74 companies located in the Bekasi region, West Java Province of Indonesia. The results indicate that scores of organizational learning and innovation capability significantly varies across company size, particularly for the item of acquisition of external knowledge and the item of process innovation. This study found that scores of organizational learning and innovation capability significantly varies across company market, particularly for the item of distribution of knowledge and the item of organizational innovation. It was also found that scores of organizational learning and innovation capability significantly varies across industry sector, particularly for the item of organizational memory and the item of product innovation.

6 tables, 27 ref

044113   SAJA D (Criminal Law Dep, Tirana Univ, Albania) : Cybercrime, the challenge of modern times. Int J Multidiscip Res Dev 2020, 7(2), 73-4.

The process of solving a problem consists of a detailed recognition of it. This work aims to deeply recognize the cybercrime phenomenon, because through recognition we can achieve sustainable theories to the phenomenon and create plain legal norms. The existing theories on cybercrime are still in their initial phase that is why I focused on brand new theories that would explain the phenomenon. Also, I tried to explain the key factors that the perpetrators of the law face during the investigation and assignment of the right legal definitions of the phenomenon. Framing a profile about cybercrime that would help the police in their work process and different researchers, is of a great importance. Even though framing a comprehensive profiling method seems to require a hard work. Not just because we are dealing with a new phenomenon, but it is constantly developing. I hope this helps you clarify your point of view on cybercrime.

15 ref

046792   SHOOHI L M, SAUD J H (Mustansiriyah Univ, Baghdad, Iraq) : DCGAN for handling imbalanced malaria dataset based on over-sampling technique and using CNN. Med Legal Update 2020, 20(1), 10.37506/v20/i1/2020/mlu/194444.

Class imbalance problem as a significant research problem has been recognized in classification In recent years, where by using the number of approach to rebalancing distributions of class such as; under-sampling or over-sampling for learning datasets to improve accuracy of classification, that give good performance. Many algorithms have been developed for classification, such as Back Propagation (BP) neural networks, decision tree, Bayesian networks etc., and have been used repeatedly in many fields. In this paper, to rebalancing distributions of class for imbalanced Malaria dataset to detect infected and uninfected people by equal percentage we proposed approach Deep Convolutional Generative Adversarial Network (DCGAN) based on the O.S. technique, which are generate the synthetic samples for the minority class for imbalanced Malaria dataset and achieve a balance ratio between classes of majority and minority 100 % for imbalanced Malaria dataset. As well as used Deep Learning, applied by using Convolutional Neural Network (CNN). The goal of CNN is to prove the validity of the proposed approach by firstly, will be train the imbalanced Malaria dataset and results are tested before using proposed approach. Secondly, will be training balanced Malaria dataset and results are tested after using proposed approach and comparison between them.

4 illus, 3 tables, 14 ref

044101   BAKHEET I A A (Sudan Univ of Science and Technology, Sudan) : Using literature to develop students' English language competence a case study of some secondary schools in Sudan. Int J Multidiscip Res Dev 2020, 7(2), 01-9.

This study aims at confirming that using literature develops students’ language competence in English language. It tries to investigate the usage of different literary works and genres of English literature and the roles these genres play in developing students’ competence. The researcher used the descriptive analytical method. There have been a pre-test and post-rest in which a sample of twenty-five students were tested. In addition, there has been a questionnaire to collect responses of thirty teachers of English language. After the analysis of the tests and the questionnaire, it has been proved that Literature helps develop students reading and writing skills, widens students’ scope, socially and culturally, develops students’ listening and speaking skills. In addition, students who usually engage in discussions, role-play, speaking, writing notes and comments are expected to be competent in English language. In this manner, it is strongly recommended that all the educational institutions in the Republic of Sudan, should apply using literature with its different genres. If so to speak, the result can’t be generalized because it doesn’t represent all teachers in Sudan. Therefore, further studies need to consider different localities of Sudan.

16 illus, 14 tables, 11 ref

046779   QASIM K R, OUDA A J (Information Technology and Communications Univ, Baghdad, Iraq) : An accurate breast cancer detection system based on deep learning CNN. Med Legal Update 2020, 20(1), 10.37506/v20/i1/2020/mlu/194726.

Deep learning of multilayered computational models allowed processing to recognize the representation of data at multiple levels of abstraction. These technologies have significantly improved to identify breast cancer. Convolutional Neural Network (CNN) is a type of radiological basis for classification problems and is based on the Bayes decision-making base, which reduces the expected error in classification. In this paper,it is proposed to detect breast cancer using CNN of the mammography system to classify the mammogram to noncancerous abnormality and cancerous abnormality. The goal of Breast Cancer Detection based on CNN for speeding up diagnosis by helping a particular diagnose and classify breast cancer.A set of images of a mammogram is used to perform the pre-processing of the histogram equalization and adjust the appropriate parameters for the CNN work. Then, the whole changed images are set in CNN to classify as a training source. A CNN classifies can be produced as a model foridentifying the mammogram. the BCDCNN method with the mammography classification utilizing MCCANN comparison with BCDCNN improved the classificationaccuracy on mammographic. Therefore, the results showed that the proposed system has a higher resolution than the other recently existing systems, and the only mass containing all was maximized from 0.84 to 0.88 and 0.70 to 0.82 accuracy.

5 illus, 2 tables, 15 ref

042150   DHAWAN V, DEBNATH K, SINGH I, SINGH S (Mechanical Engineering Dep, National Institute of Technology Meghalaya, Shillong – 793 003, Email: debnath.iitr@gmail.com) : Neural network modeling of forces in drilling of glass/epoxy composites filled with agro-based waste materials. Indian J Eng Mater Sci 2020, 27(3), 649-58.

In this paper, the drilling behavior of a new class of composite materials has been experimentally investigated. The composite laminates have been manufactured using glass fibers, epoxy resin, and filler materials. The abundantly available agro-based waste materials (coconut coir, rice husk, and wheat husk) have been used as filler materials. The drilling experiments have been performed at several levels of feed (0.03 to 0.3 mm/rev.) and speed (90 to 2800 RPM) using different types of drill bits. The effect of these parameters on the drilling forces (axial thrust and torque) has been analyzed for all types of laminates under investigation. The artificial neural network-based models have also been proposed to compute the drilling forces. The fitness of the models has been measured in terms of mean percentage error between the predicted and actual values. From the investigation, it has been found that the drilling forces computed by the neural network models were quite close to the experimental values.

12 illus, 1 table, 30 ref

043944   SRIKANTH C ,PRASAD A R (Statistics Dep, Kakatiya Univ, Warangal, Telangana, Email: srikanthc222@gmail.com) : Forecasting of egg prices data using time series models-I. Int J Info Comp Sci 2020, 7(12), 0972-1347.

The work presented in this research paper constitutes a contribution to modeling and forecasting the monthly average egg prices of Hyderabad city using a time series models like Simple Exponential Smoothing methodology and Auto Regressive Integrated Moving Average model using Box-Jenkins methodology. The adequate model is selected according to five performance criteria; Akaike Information Criterion, Schwartz Bayesian Criterion, Mean Absolute Error, Mean Absolute and Percentage Error and Root Mean Square Error. The selected model is ARIMA(1,1,1)(0,1,1)12 and it is validated by another historical average egg prices information under the same conditions. The results obtained prove that the model could be utilized to forecast the average egg prices in Hyderabad city.

10 illus, 3 tables, 6 ref

043943   GHOSH S (Government Coll of Engineering and Textile Technology, Serampore, West Bengal, Email: simaghosh123@gmail.com) : WHAS - wireless home automation system using IOT. Int J Info Comp Sci 2020, 7(11), 0972-1347.

Life is becoming simpler and easier with the advancement of Automation technology day by day. In today’s world Automatic systems are having preferences over manual system. With the technological development, Internet of Things is becoming the latest and emerging internet technology. IOT can be described as a connection of physical object-from industrial perspective to consumer goods that can share information and complete tasks when we are busy with other activities. Wireless Home Automation system (WHAS) using IOT is an automated system which uses computers or mobile devices to control basic functionalities of home through internet from anywhere in the world. An automated home which is meant to save the electric power and human energy, is sometimes called a smart home. The WHAS differs from other system by allowing the user to operate the system through internet connection from anywhere around the world. With the technological development of the low cost, easy to deploy and maintain Microcomputers like Raspberry Pi, it has become very easy for anyone to control high voltage devices without any risks involved in the wiring and programming. This work focuses on the idea of creating and deploying a simple wireless home automation system with minimum cost and simple programming.

4 illus, 11 ref

043942   KAVITHA P, ASHOK T, KARTHIKEYAN K, KUMAR A K, UMARANI K (ECE Dep, M.A.M.School of Engineering, Trichy, Email: kaviakshya@gmail.com) : Secured communication in aircraft system using lifi for military application. Int J Info Comp Sci 2020, 7(11), 0972-1347.

Nowadays security is more important in our life. Most of the security system braked by hackers and most of the communication crashed by hackers. So we are develop most secure communication in warplane using LI-FI (Light-fidelity).In this project we are establish LI-FI based communication between two Warplane. In Li-Fi , the data is transmitted in several bitstreams through high-speed flickering of the LED bulb and decoded on the receiver side which consists of a photo detector. This happens in the form of a binary transmission of data, where ‘0’ is the LED in its ‘off state’ and ‘1’ is the LED in its ‘onstate’. This concept is based on transmit data to demonstrate the use-cases and the possible impact it can have in the ever growing field of communication.

14 ref

043941   DEULKAR A, LAXMINARAYANA J A (Computer Science & Engg Dep, Goa Coll Of Engineering, Farmagudi-Goa) : A survey paper on breast cancer prediction using machine learning techniques. Int J Info Comp Sci 2020, 7(11), 0972-1347.

The medical field regularly handles enormous amounts of cancerous data. Handling huge cancerous data by conventional methods can affect the results. Algorithms for machine learning can be used to find out facts in cancer research, in particular for breast cancer prediction. The early classification of breast cancer is crucial to decide the medication required for the patient and the necessity for undergoing surgery. Machine learning algorithms like Decision trees, Support vector machine, Multilayer Perceptron, Bayes classifiers, K-Nearest Neighbours, Convolution Neural Network, Artificial Neural Network etc. are used for predicting the breast cancer with high accuracy. This research paper analyzes how machine learning techniques are used for prediction of breast cancer and its classification. The paper also examines the hybrid approach that increases the performance of individual classifiers.

31 ref

043940   KULKARNI S, BOLIYA V, INGLE S, DHOTE Y, DUSEJA N (Vivekanand education society’s Institute of technology, Mumbai, Email: shivani.kulkarni@ves.ac.in) : Survey and analysis of detection of greenland area using NDVI algorithm. Int J Info Comp Sci 2020, 7(10), 0972-1347.

Agriculture is one of the primary occupations in India.Various methods and technologies are used to carry out precision agriculture. Countries around the world are faced with land use /land cover change due to various factors such as rapid population growth, increased demand for agricultural productivity, and change in climatic characteristics. Land cover change needs to be addressed through monitoring and management.Along with this,detection of crops health is also a major need of the farmers which is satisfied using different machine learning algorithms.This survey paper throws light on various methods used for monitoring the plant health and detecting land cover areas using various methods. Satellites play a huge role when it comes to providing the real time images to carry out such studies and research . It has been found by various researchers that one of the major applications for hyperspectral imaging is plant health detection and monitoring.

1 table, 23 ref

043938   WEINSTEIN J (Mathematics Dep, Haifa Univ, Israel, Email: jack-weinstein@hotmail.com) : Computation of the euler number of a hexagonal binary image using the perimeter. Int J Info Comp Sci 2020, 7(9), 0972-1347.

Two versions of a perimeter-based algorithm for the computation of the Euler number of a hexagonal binary image are devised. These new versions are compared experimentally to the original (definition based) algorithm. One of the new versions is shown to outperform the other two methods.

12 ref

043937   PARSAI S, SINGH P (Physics Dep, MLB Coll Bhopal, Maharashtra, Email: Shivani.dubey02@gmail.com) : Prediction of equation of state for LiH at high pressure volume. Int J Info Comp Sci 2020, 7(9), 0972-1347.

Analysis of high pressure-volume equation of state has been performed for LiH solid in compression range from v/v0 =1.0 down to v/v0 =0.20. Values of pressure, isothermal bulk modulus and pressure derivative of bulk modulus corresponding to different compression have been obtain using the Born-Mie Equation of state. The result have been discussed and compared with best curve fitting.

3 illus, 2 tables, 1 7ref

043936   BANGAL S P, SHINDE S, VASANDE R, KOTE S (Electronics Dep, Pune Univ, loni, Maharashtra, Email: swapnil.bangal007@gmail.com) : IOT based portable non invasive blood glucose monitoring system. Int J Info Comp Sci 2020, 7(9), 0972-1347.

This paper introduces a new method of non-invasive blood glucose monitoring based on four near-infrared spectrums and Gaussian theorem dependent. As transmitting spectrums, we pick four near-infrared wavelengths, 820 nm, 875 nm, 945 nm, 1050 nm, and catch four fingers transmitting PPG signals at the same time. The algorithm wavelet transform is used to strip baseline drift, smooth signals, and extract eight of each PPG signal's values. The Eigen values are the input parameters of Arduino and Raspberry Pi.Use of accurate sensor and IoT base with prediction algorithm to improve the accuracy of the measurement. Experiments show that the root mean square error of the estimate is between 0.97 mg /dL-6.69 mg / dL, the average of root mean square error is 3.80 mg / dL.

2 illus, 10 ref

043935   CHIBDE G D, MASCARENHAS M F C (Computer Engineering Dep, Goa Coll Of Engineering, Farmagudi-Goa, Email: gaurav73c@gmail.com) : A novel approach for lung nodule classification in lung CT images using convolutional neural network (CNN). Int J Info Comp Sci 2020, 7(9), 0972-1347.

Lung cancer is a growing cancer in the world; the cancer needs to be treated with right method at the right time. The early detection of cancer is better than the last stage treatment that can help in a high decrease in the lung cancer mortality rate. This will result in more than 17% percent of the total cancer related deaths. There are different methods for early diagnosis of lung cancer. CT scan is one of the methods used to view the inside of human body. This image helps doctors to get an idea of what is wrong with the human organs. CT scans of lung are used by doctors to get a better insight of the patient. We have proposed a method to classify the lung cancer that uses a convolution neural network (CNN). This classification is done from the Lung CT images. The nodule is the important factor to detect the lung cancer. The module belongs to one of the category, benign or malignant. Taking into consideration the difficulties of the current scenario, we have proposed a convolution neural network(CNN) model to classify the lung CT image in either one of categories that is, malignant or benign. The model takes normal 512 x 512 CT images with original pixel and inverted pixels. This images are passed to the two different subCNN . It was tested on SPIE lung dataset from cancer imaging archive.

17 illus, 12 ref

042046   ZHAO J, NIU Z, HUANG X, HU X, GAO S, KOH K, CHEN H (Shanghai Univ, Shanghai 200444, PR China, Email: hxchen@shu.edu.cn) : Guests mediated supramolecule-modified gold nanoparticles network for mimic enzyme application. Indian J Chem Sec A 2020, 59A(10), 1434-41.

Supramolecules mediated porous metal nanostructures are meaningful materials because of their specific properties and wide range of applications. Here, we describe a general and simple strategy for building Au-networks based on the guest-induced 3D assembly of Au nanoparticles (Au-NPs) resulted in host-guest interaction resolved sulfonatocalix[4]arene (pSC₄)-modified Au-NPs aggregate. The diverse guest molecules induced different porous network structures resulting in their different oxidize ability toward glucose. Among three different kinds of guest, hexamethylenediamine-pSC₄-Au-NPs have high sensitivity, wide linear range and good stability. By surface characterization and calculating the electrochemical properties of the Au-NPs networks modified glassy carbon electrodes, the giving Au-NPs network reveals good porosity, high surface areas and increased conductance and electron transfer for the electrocatalysis. The synthesized nano-structures afford fast transport of glucose and ensure contact with a larger reaction surface due to high surface area. The fabricated sensor provides a platform for developing a more stable and efficient glucose sensor based on supramolecules mediated Au-NPs networks.

5 illus, 1 table, 45 ref

043934   KHAN M J, RIZVI B (Mechanical Engineering Dep, Ambalika Institute of Management & Technology, Lucknow) : Electroplating of copper on tungsten powder. Int J Info Comp Sci 2020, 7(8), 0972-1347.

Strengthening, resistant and shielding properties, to name a few, can be achieved by implementing a surface material coating onto an engineering component. Various elements of these compounded parts can augment the functionality of the part, such as, increased life time and more interactive surfaces. Tungsten has proven to be a challenge to plate with other metals, but if done correctly, the results can allow for the cold spray of tungsten. Cold spraying tungsten particles alone provides a challenge because the powder is too hard and instead of adhering, it erodes the surface it is attempting to plate. Coating tungsten in a softer metal, like copper, will allow for the particles to adhere to the surface and create a strengthened and radiation shielded component. It also yields a better surface to electroplate onto in the future, as tungsten itself is hard to plate onto, so the copper layer provides the ability to easily plate other metals. The purpose of this research paper is to encapsulate tungsten powder within copper, then scale up the process to produce bulk amounts of the material in a batch process. The particles will be encased using an electroplating method, that has been turned into a semi-autonomous process for the ease of producing bulk powder. While electroless deposition has previously shown positive results for attaining a uniform coating, making it a semi-batch process for bulk material would have an extreme cost in comparison to electrolytic deposition. The tungsten particles have been successfully enclosed in copper by electrolytic deposition in this set of experimentation using an HF electro-etch pretreatment and ultrasonic agitation during electroplating. Further experimentation will include improved methods of stirring and transferring powder, as the transfer takes too long between the etch and the onset of plating and the stirring method is bulky and reduces the area that can be efficiently plated on.

9 illus, 1 table, 13 ref

043932   PINGE A, GAONKAR M N (Goa College of Engineering, Ponda Goa, Email: anu.pinge@gmail.com) : Understanding action recognition in depth: A survey. Int J Info Comp Sci 2020, 7(8), 0972-1347.

Computer Vision is multidisciplinary field with challenges such as object detection, face detection, human pose estimation, human action recognition etc. Human action recognition basically deals with recognizing actions performed in videos which may contain simple, complex actions or actions in realtime. Over the last decade abundant work has been carried out in the area of Video classification, Video Action Recognition. Earlier methods include the feature extraction using SIFT, SURF, HOG etc and then encoding it using Bag-of-features or Fisher Vector. Now-a-days attention is taken by deep neural network i.e. Convolutional Neural Network to be specific. This has provoked us to give comprehensive review of the noteworthy techniques developed in the field of Video Action Recognition. By taking into consideration various feature extraction methods, we aim to brief about the major contributions in entirety in the field of Video Action Recognition. This paper will give a reader succinct about the existing methodologies in this field which will help to give a new research perspective. This paper also summarizes about the benchmark datasets used for Video Action Recognition.

71 ref

043931   WEINSTEIN J (Mathematics Dep, Haifa Univ, Israel, Email: jack-weinstein@hotmail.com) : An improved algorithm for the computation of the euler number of a binary image using the perimeter. Int J Info Comp Sci 2020, 7(8), 0972-1347.

An improved version of the perimeter-based algorithm for the computation of the Euler number of a binary digital image is devised. Experimental results show that the new version outperforms two previous methods.

7 ref

043930   SHAIKH S A , BANGAL S P , KADU R N , JADHAV P S (Electronics & Telecommunication Dep, Savitribai Phule Univ, Pune, Email: shakhils68@rediffmail.com) : Intelligent robotic disease detection in agriculture system using raspberry pi. Int J Info Comp Sci 2020, 7(7), 0972-1347.

In agricultural field is modifying economical and social environment. Many of the farmers , agro help center use the various advance technology to increases the agriculture production. Plants are most important source of power or energy of human. There are various diseases that effects on plants with the likely to cause socially &economically losses. India is agriculture country where in about 65% population depends on agriculture. It must be noted that agriculture alone constitute almost 22% of Gross Domestic product (GDP). Even though agriculture is of great importance, there are various challenges face by farmer. Out of these the important problem are losses in agriculture product due to disease on crop and in proper management of pesticides. The above problem of losses of crop due to various diseases can be solved by disease detection technique. This technique can be implemented by designing “Agri-Robo”. With the help of these agri-robo farmer are able to continuous monitoring of crop by controlling these 1 with the help of PC. The Agri-robo automatically detect the disease on crop and after detection of disease, it spray the corresponding pesticides in necessary amount and avoid the overdose of pesticides.Agriculture is very labor intensive field and only field where the robots aren’t involved. Now-a- days many industries try to scales back this human labor by making robots and machines. Here we are designing a autonomous intelligent robot which indicates the plant health by observing the color of their leaves. The robot has also pesticide spraying mechanism it will spray the plants according to their needs.

3 illus, 10 ref

043929   NAIR D C J , JACOB T (Computer Science and Engineering Dep, Goa Univ, Goa) : An automated system for detection of social engineering phishing attacks using machine learning. Int J Info Comp Sci 2020, 7(7), 0972-1347.

Social engineering is the act of breaking security by manipulating the users into divulging confidential information. Social engineering uses psychological tricks to gain trust of the humans to achieve sensitive information for various purposes. Phishing is a method of computer based social engineering attack. Phishing is a criminal act of acquiring personal information by sending out forged emails with fake websites and fraudulent weblinks in web pages. The aim of this research is to develop a system that will detect phishing URLs from the webpage and classify the URL whether it is legitimate or illegitimate URL using machine learning algorithm.

5 illus, 12 ref

043927   KHANVILKAR S, SHAH H, SHARMA A, JOSHI S (Computer Engineering Dep, Xavier Institute of Engineering, Mahim Mumbai, Email: sushma.k@xavierengg.com) : Voice cloning using convolutional neural network. Int J Info Comp Sci 2020, 7(7), 0972-1347.

This paper describes a novel text-to-speech (TTS) technique based on deep convolutional neural networks (CNN), without any recur- rent units. Recurrent neural network (RNN) has been a standard technique to model sequential data recently, and this technique has been used in some cutting-edge neural TTS techniques. However, training RNN component often requires a very powerful computer, or very long time typically several days or weeks. Recent other studies, on the other hand, have shown that CNN-based sequence synthesis can be much faster than RNN-based techniques, because of high parallelizability. The objective of this paper is to show an alternative neural TTS system, based only on CNN, that can alleviate these economic costs of training. In our experiment, the proposed Deep Convolutional TTS can be sufficiently trained only in a night (15 hours), using an ordinary gaming PC equipped with two GPUs, while the quality of the synthesized speech was almostacceptable.

2 illus, 13 ref

043926   JAVKHEDKAR S, SHRUNGARKAR A (D.A.I.M.S.R., Nagpur, Email: sarangjavkhedkar@gmail.com) : Electronic gadgets and their impact on reading habits of college students. Int J Info Comp Sci 2020, 7(6), 0972-1347.

Perusing propensity is a basic and significant angle for crating the educated society in this world. PC innovation affected Government College's understudies. It shapes the character of an individual and it encourages them to build up the correct reasoning techniques and making new thoughts. At present because of the impact of the Broad communications individuals couldn't show a lot of enthusiasm for perusing the books, magazines, and diaries and so forth. In this manner, there is the dire need to build up the perusing propensity among the people in the general public. 100 legitimate study surveys were gathered from 16 different college students in a Nagpur - Maharashtra College including different disciplines like Engineering, Commerce, Arts, Management, Science and ITI diploma courses. The outcomes showed that in these students perusing propensities changed from paper-based to web based perusing 98 % of understudies read online data after consistently and 24 % of them read messages each day. Interestingly just 19.2 % of them read the paper and 25 % of them read magazines regularly consistently. The best 8 things understudies do online day by day browsing messages 22 %, tuning into music 96 %, visiting with companions 96 %, utilizing MSN 95 %, perusing on the web data 84 %, seeing on the web photograph collections 60 %, utilizing Hurray Errand person half and shopping on the web 54 %. Understudies read increasingly online news, messages, deals data, and film survey and style news that lone other data. With respect to the subjects of web the changing grouping that understudies demonstrated is diversion, news, and media. Use of internet by the students indicated for entertainment, news and media. The results also indicated that gender, age, education, scores, employment states, online hours and college students reading habits are related. Suggestions and implications as well as future research directions were involved in this study.

5 tables, 43 ref

043925   KAVITHA P, ASHOK T, GAYATHRI N (M.A.M.School of Engineering, Siruganur, Trichy, Email: kaviakshya@gmail.com) : Bluetooth and gsm based intelligent vehicle systems for women safety using embedded technology. Int J Info Comp Sci 2020, 7(6), 0972-1347.

In our society the safety is the prime issue for women and children. The every day the count of victim to be increased . Recent statistics show that vehicle’s passengers or taxi’s passengers are gone missing frequently and sometimes their death has been increasing due to improper and unnoticed security issues. In this paper the safety of women and children to be ensure for our proposing model. We implement the intelligent security system for passengers using Bluetooth technology.

10 ref

043924   ASHOK T, KAVITHA P, CHANDRASEKAR M (ECE Dep, M.A.M. School of Engineering, Siruganur, Trichy, Email: ashoksubaash@gmail.com) : Iot enabled economic human safety for co emission constraints with self-alert system. Int J Info Comp Sci 2020, 7(6), 0972-1347.

Vehicles have become an integral part of every one's life. Situations and circumstances demand the usage of vehicles in this fast paced urban life. Every vehicle will have emission but the problem occurs when it is beyond the standardized values. The primary reason for this breach of emission level being the incomplete combustion of fuel supplied to engine, which is due to the improper maintenance of vehicles. This emission from vehicles cannot be completely avoided but, it definitely can be controlled. The involvement of semi-conductor sensors for detecting the various gases. The aim of the project is to monitor and control the pollutants in the vehicle by using the pollution control circuit. This pollution control circuit consists of various sensors like smoke sensor, temperature sensor and IoT, GPS kind of devices, and all of them are integrated and connected to a Controller. This paper demonstrates an effective utilization of technology by which we save our environment by controlling the pollution of vehicles. FC date is monitored with help of a memory. If in case of FC period exit the IoT module will update the current vehicle location to the RTO office. It is also very useful for women safety. If women’s are attacked by anyone, this system sends the GPS location by using switch. This paper, when augmented as a real time project, will benefit the society and help in reducing the air pollution.

11 ref

043923   THAKARE Y A, PANDE A V (Computer Science & Engineering Dep, Sipna COET, Amravati, Email: yugathakare@gmail.com) : A brief survey on deep learning for computer vision: Challenges and future trends. Int J Info Comp Sci 2020, 7(5), 0972-1347.

Deep learning is an evolving area of research which brought revolutionary advances in machine learning and computer vision. Deep Learning has broken the limits of what was possible in the domain of Digital Image Processing. Recently, most of the artificial intelligence problems have been solved by using deep learning algorithms. In the recent years deep learning has attracted much attention because of its state-of-the-art performance in different regions like computer vision, natural language processing, object perception, speech recognition etc. This paper presents a brief survey of deep learning methods and recent developments in computer vision, applications in different vision task. Finally, the paper summarizes the future trends and challenges in deep neural networks.

4 illus, 36 ref

043922   PANDE A V, THAKARE Y A (Computer science and engineering Dep, Sant Gadge Baba Amravati Univ, Maharashtra, Email: ankita.pande2@gmail.com) : Use of be technique for enterprise social networking with document security. Int J Info Comp Sci 2020, 7(5), 0972-1347.

Enterprise social network sites (ESNSs) are increasingly being introduced into large multinational organizations .They offer attractive means for digital social interactions and information sharing but also raise a number of security and privacy issues. While social networks allow users to share data amongst themselves, they currently do not provide any mechanism about sharing secured data amongst the multiple users and also enforce concerns about the leakage of the confidential documents being shared. To this end, we propose an approach to secure the data being shared amongst multiple users and also formulate a technique to avoid leakage of the confidential documents of the company. We propose Broadcast Encryption technique to deliver encrypted content over a broadcast channel in such a way that only qualified users can decrypt the document. The group members will receive a unique group key on their registered email-id’s which will be later used by them to decrypt the document. Another technique which we propose is Leakage Detection & Prevention. In this technique we generate a hash value of the uploaded document using Secure Hash Algorithm (SHA) which will produce a 160 bit hash value known as message digest – typically rendered as hexadecimal number. If any employee is trying to share any document leakage will get identified using hash value of the document and prevented by the system. Thus the main objective of our project is to enhance security of the content being shared across the multiple users and prevent leakage of the confidential doc’s.

3 illus, 2 tables, 13 ref

043921   SINGH S, AWASTHI S, WAJID M S (Babu banarsi das Babu banarsi das Babu banarsi das Univ, Lucknow, Email: Suyogitasingh060795@gmail.com) : Improving the processing of large volume of data using hadoo. Int J Info Comp Sci 2020, 7(5), 0972-1347.

Hadoop Map Reduce and yarn is handled for investigation enormous volume of information through various hubs in equal. Anyway Map Reduce has two capacities Map and Reduce, enormous information is put away through HDFS. Leave of office include in Map Reduce so yarn is intended to run for ongoing stream information and for quick inquiries. Sparkles employments perform take a shot at Resilient Distributed Datasets and coordinated noncyclic chart execution motor. In this paper, we broaden Hadoop Map Reduce working and yarn technology with supporting sort of activity to perform. We further show the contrasts between Hadoop Map Reduce and yarn through Map and Reduce stage individually.

3 illus, 1 table, 15 ref

043920   MALL B, SRIVASTAVA N (Computer science and engineering Dep, Babu Banarasi Das Univ, Lucknow, Email: bhartimall30@gmail.com) : Improving the design of fuzzy systems using type-2 fuzzy rules. Int J Info Comp Sci 2020, 7(5), 0972-1347.

Fuzzy logic is a computing approach which deals with uncertain and imprecise information. It is different from Boolean algebra and based on degree of truth rather than true or false. The word fuzzy mean uncertain or vague but type -1 fuzzy sets has no uncertainty associated with it. Type -2 fuzzy sets are generalization of type-1 fuzzy sets to handle more uncertainty. In this paper a new student performance indicator system is proposed and implemented using Juzzyonline which is a java based library to design, construct and visualize a type -1, interval type-2 and general type -2 fuzzy systems. Also student performance indicator system is designed with guaje an open access software and interpretability and accuracy parameters are also studied.

9 illus, 4 tables, 12 ref

043919   YADAV M (Computer Science & Engineering Dep, Dr.A.P.J. Abdul Kalam Technical Univ, Lucknow, Email: madhuri.yd@gmail.com) : Review of secured internet banking. Int J Info Comp Sci 2020, 7(4), 0972-1347.

With banks arriving at its clients by means of versatile banking, it is getting to be one of the fundamental highlights that are requested by pretty much every advanced client. Have been introduced that Online banking security mechanisms focus on safe authentication mechanisms, but all these mechanisms are rendered useless if we are unable to ensure the integrity of the transactions made. Of late a new threat has emerged known as Man in the Browser attack, it’s capable of modifying a transaction in real time without the user’s notice, after the user has successfully logged in using safe authentication mechanisms. In this review paper we analyze the Man in the Browser attack and propose a solution based upon digitally signing a transaction and using the mobile phones as a software token for Digital Signature code generation. Two factor authentication solutions like smartcards, hardware tokens, One Time Password’s or PKI have long been considered sufficient protection against identity theft techniques. However, since the MITB attack piggybacks on authenticated sessions rather than trying to steal or impersonate an identity, most authentication technologies are incapable of preventing its success. In this paper we take a brief look into how the MITB attack takes place how it is capable of modifying an online transaction. We propose a solution based on using mobile phones as software token for Digital signature code generation. Digital signature is known to ensure the authenticity and integrity of a transaction.

16 ref

043918   DOKARE I, KENI S, PAWAR S, SANSARE A, VAISH S (Computer Engineering Dep, Mumbai Univ, Mumbai, Email: Indu.dokare@ves.ac.in) : Real-time e-commerce comparative website using data mining. Int J Info Comp Sci 2020, 7(4), 0972-1347.

Real-time E-commerce Comparative website helps in real-time comparison of clothing products from different e-commerce websites based on their prices. Nowadays, customers shopping online need to check the desired product at different e-commerce websites to avail of the product with the best prices and quality. The paper describes an overview of the website which provides a comparison of products available at different e-commerce websites. The website enables the online users to analyze the clothing product specifications and compare prices of the specific product available on other e-shopping sites and buy their desired products saving a lot of user's time, efforts and money. Using web crawling and scraping techniques, the details of the products on different sites are obtained.

6 table, 7 ref

043917   SURALKAR S, MOHITE A, KORE P , GUPTA P, NENWANI N (Computer Dep, Mumbai Univ, Mumbai, Email: 2016.akshay.mohite@ves.ac.in) : Retinal fundus analysis using deep learning techniques. Int J Info Comp Sci 2020, 7(4), 0972-1347.

The purpose of this paper is to show analysis and report generation of health diseases. Proposed system considered a few patient cases and their retinal fundus images as a prototype. Based on Convolutional Neural Network technique and health experts knowledge a disease diagnosis and treatment suggestion application is created. The system is based on the principle of Deep Learning, a sub field of Artificial Intelligence that uses a pre-trained model for Retinal Fundus Dataset and makes the process automatic and robust. To be more user-friendly, a web application is developed for ease of access and making it more realistic, efficient and easy to use.

5 illus, 7 ref

043916   SHAH H, SHARMA A, JOSHI S (Computer Science Dep, Xavier Institute of Engineering, Mahim, Mumbai, Email: shahharshil72@gmail.com) : Voice cloning using convolutional neural network. Int J Info Comp Sci 2020, 7(4), 0972-1347.

This paper describes a novel text-to-speech (TTS) technique based on deep convolutional neural networks (CNN), without any recur- rent units. Recurrent neural network (RNN) has been a standard technique to model sequential data recently, and this technique has been used in some cutting-edge neural TTS techniques. However, training RNN component often requires a very powerful computer, or very long time typically several days or weeks. Recent other studies, on the other hand, have shown that CNN-based sequence synthesis can be much faster than RNN-based techniques, because of high parallelizability. The objective of this paper is to show an alternative neural TTS system, based only on CNN, that can alleviate these economic costs of training. In our experiment, the proposed Deep Convolutional TTS can be sufficiently trained only in a night (15 hours), using an ordinary gaming PC equipped with two GPUs, while the quality of the synthesized speech was almostacceptable.

13 ref

043914   ARANJO S , CHUNAWALA H, GINDODIYA A, BHATT N (Information Technology Dep, Xavier Institute of Engineering, Mumbai - 400 016, Email: gmail@harshvardhan.me) : Implementing chatbot based on cloud services. Int J Info Comp Sci 2020, 7(3), 0972-1347.

We are proposing a chatbot based on Cloud computing technology. The cloud services for the chatbot can be Amazon Web Services or Google Cloud. Today the cloud technology is deeply rooted in many tech sectors. These cloud services are inclusive of Artificial intelligence, Machine learning and Big data. It enhances the capability of our chatbot. The chatbot requires less human intervention in terms of training. Through cloud computing, chatbots can be scaled as it increases functionality.

3 illus, 6 ref

043913   SHEIKH I, SAINI S S (Jaipur Engineering Coll, Jaipur, Email: irfansheikh19@gmail.com ) : Supervised machine learning classification techniques on multi-valued datasets. Int J Info Comp Sci 2020, 7(2), 0972-1347.

Nowadays, under different operational fields huge professionals rapidly consume the benefits of dissimilar prophesy schemes for amplifying quality and reliability of their working actions. An associated literature converse a variety of characteristics and limitations of accessible schemes with an affirmation that still each and every obtainable method is lacking to attain an elevated efficiency and for that reason field has a high scope of research. The incorporated active building mechanism of proposed approach efficiently enhances an act of counsel schemes. Each and every result of testing phase expresses an appropriateness of proposed approach over traditional as well as other obtainable methods. 10 folds cross validation mode have adopted to confirm the competence of intended approach.

4 illus, 3 tables, 9 ref

043912   MONDAL H (Elitte Institute of Engineering and Management, Kolkata-700 113, West Bengal, Email: hafijullmondal@gmail.com) : The book: In scenario of 21^st century. Int J Info Comp Sci 2020, 7(2), 0972-1347.

A book is a medium for recording information in the form of writing or images, typically composed of many pages bound together and protected by a cover.Books are packed with knowledge, insights into a happy life, life lessons, love, fear, prayer and helpful advice. One can read about anything under the sun. Books have been here for centuries and without them today's knowledge of our past ancestors, cultures and civilizations would have been impossible. This study focuses on importance of books in 21st century in our life as well as our societies. Brief discussion about country wise book publishing and selling views in modern age of 21st century’s world with which country’s people reads most. Finally a worldwide list of public libraries to save and store the books for our future generation.

5 illus, 1 table, 11 ref

043911   SINGH S, PANDEY A (Kanpur Institute of Technology, Uttar Pradesh, Email: shweta.engg09@gmail.com) : Distributed robust and reversible watermarking technique. Int J Info Comp Sci 2020, 7(2), 0972-1347.

This paper proposes a novel scheme of reversible data hiding (RDH) in encrypted images using distributed secure max histogram LSB technique. After the original image is encrypted by the content owner using a stream cipher, the data-hider compresses a series of selected bits taken from the encrypted image to make room for the secret data. On the receiver side, the secret bits can be extracted if the image receiver has the embedding key only. In case the receiver has the encryption key only, he/she can recover the original image approximately with high quality using an image estimation algorithm. If the receiver has both the embedding and encryption keys, he/she can extract the secret data and perfectly recover the original image using the distributed source decoding. The proposed method outperforms previously used techniques.

6 tables, 45 ref

043910   KHARRA S, SONI Y (M.tech. Scholar, Sobhasaria Engineering Coll, Sikar, Email: soniya.sec91@gmail.com) : Supervised machine learning classification techniques on multi-valued datasets. Int J Info Comp Sci 2020, 7(1), 0972-1347.

In present scenario, across a wide range of operating sectors, large numbers of experts are quickly reaping the advantages of various prophecy schemes to improve the efficiency and consistency of their jobs. Related literature discusses a number of characteristics and shortcomings of available schemes, concluding that each and every available approach always falls short of achieving higher performance, and thus the field has a wide research reach. The incorporated active building mechanism of proposed approach efficiently enhances an act of counsel schemes. Every result of testing phase describes a suitability of designed approach over classical as well as other obtainable methods. 10 folds cross validation mode have adopted to confirm the competence of intended approach.

3 illus, 2 tables, 9 ref

043909   PATIL B R (Bharati Vidyapeeth (Deemed to be Univ), Pune) : Human resource management in organizational innovation and sustainable organizational performance. Int J Info Comp Sci 2020, 7(1), 0972-1347.

HRM practices are created with the sole reason for establishing a strong tie between the firm and the representative. A firm can easily utilize these practices to help the workers in developing their abilities. These aptitudes are then additionally used to contribute to the firm's intellectual development. Human resource management practices are related to the placement and selection of the appropriate representatives, which has implications for innovative worker behavior so it has a significant impact on innovation. Human resources are a bunch of information, aptitudes, and mastery's that individuals have, and are an important wellspring of upper hand and organizational performance. A large number of scholars have created theoretical models and concepts to bring out the relationship between OI (item, process, and information innovation) and SOP. The article can indicate that HRM practices (performance management and compensation and benefits) have an immediate, positive, and significant influence on SOP.

13 ref

043908   GUPTA A, BHARTI A K, KUMAR S (Maharishi Univ of Information Technology, Lucknow) : A novel enhancemenat for robust and reversible watermarking technique. Int J Info Comp Sci 2020, 7(1), 0972-1347.

This paper proposes a novel scheme of reversible data hiding (RDH) in encrypted images using distributed secure max histogram LSB technique. After the original image is encrypted by the content owner using a stream cipher, the datahider compresses a series of selected bits taken from the encrypted image to make room for the secret data. On the receiver side, the secret bits can be extracted if the image receiver has the embedding key only. In case the receiver has the encryption key only, he/she can recover the original image approximately with high quality using an image estimation algorithm. If the receiver has both the embedding and encryption keys, he/she can extract the secret data and perfectly recover the original image using the distributed source decoding. The proposed method outperforms previously used techniques.

6 tables, 45 ref

043907   RAI H, BHARTI A K, KUMAR S (Maharishi Univ of Information Technology, Lucknow) : Efficient method of secure authorized data deduplication at small block level approach in cloud storage. Int J Info Comp Sci 2020, 7(1), 0972-1347.

In this paper, proposed a new serversideededuplication scheme for mixed data. In this it is applying data deduplication on small block level and if data block are unique data in that case first it will get encrypted then uploaded to cloud storage. Moreover, the proposed system guarantees data uprightness against any name anomaly attack. In this way, security is enhanced in the proposed system. For deduplication hash code comparison in proposed system introduced a new technique called authentication of multi-level block signature. This technique provides a mechanism which is used to reduce comparison time of hash code in data base. The adequacy examination comes to fruition show that the proposed contrive is for all intents and purposes as capable as the existing system, while the additional computational overhead is unimportant.

3 illus, 1 table, 28 ref

043906   AGRAWAL A , BHARTI A K , KUMAR S (Maharishi Univ of Information Technology, Lucknow) : Review of distributed robust and reversible watermarking technique. Int J Info Comp Sci 2020, 7(1), 0972-1347.

Steganography is the science of hiding the secret messages inside other medium files in a way that hides the existence of the secret message at all. Secure LSB Reversible image steganography can be applied to text, audio, image, and video file types. In this study, we propose a new reversible steganography approach for digital images in which the RGB coloring model was used, in that we are using max histogram technique. The efficiency of the proposed approach has been tested and evaluated. The experimental results show that our proposed reversible secure LSB steganography approach produce high-quality stegano images that resist against visual and statistical attacks.

23 ref