Securing image document using RSA
Abstract: It is difficult to store and secure all information or data in paper format which also creates a problem for a proper search, storing and durability of information. Increase in new smart technologies and ease of living has developed various ways to share small and vital information digitally with the use of various applications and devices. But as the ways of sharing information and technologies are increasing, the risk of misusing the information is also increasing. Protection and security of information is a necessary feature of such applications, software or devices which handle such information. In the case of images, the security systems still lack to provide security. As the increase in digitization, the documents such as identity proof, educational qualification, and various certificates are uploaded online on various government or private website and mobile applications to verify proper identification or eligibility of documents related to that person. Such uploads of documents or proofs are done in image format. But sharing of this information may lead to a serious loss or misuse of that information. This paper deals with securing image with the use of OCR and RSA algorithm for securing the information The image would be converted into text file and the generated text file would be encrypted and send through the network to the destination and again reverse or decryption process will be followed on the other side and text file will be again generated to its image form.
Published by: Omkar Prakash Dalvi
Author: Omkar Prakash Dalvi
Paper ID: V5I4-1179
Paper Status: published
Published: July 12, 2019
Solid Dispersion: Different methods of enhancing solubility and classification of solid dispersion
Solubility is one of the most significant parameters that affects the absorption and bioavailability of the drugs. Amongst the newly developed drugs 40% possesses low aqueous solubility, so it becomes a great challenge to enhance the solubility of such drugs in order to enhance the bioavailability. Solid dispersion is one of the solubility enhancing methods to enhance their bioavailability. The current article highlights the study of various methods of enhancing solubility and solid dispersion’s advantages over them.
Published by: Sandeep Verma, Inder kumar, Amit chaudhary
Author: Sandeep Verma
Paper ID: V5I4-1175
Paper Status: published
Published: July 12, 2019
Early prediction of Alzheimer’s Disease based on neuroimaging and deep learning: Review
Alzheimer’s disease (AD) is currently ranked as the sixth leading cause of death in the United States and recent estimates indicate that the disorder may rank third, just behind heart disease and cancer, as a cause of death for older people. Clearly, predicting this disease in the early stages and preventing it from progressing is of great importance. The diagnosis of Alzheimer’s disease (AD) requires a variety of medical tests, which leads to huge amounts of multivariate heterogeneous data. It can be difficult and exhausting to manually compare, visualize, and analyze this data due to the heterogeneous nature of medical tests; therefore, an efficient approach for accurate prediction of the condition of the brain using resting-state functional magnetic resonance imaging (R-fMRI) data. A targeted autoencoder network is built to distinguish normal aging from mild cognitive impairment, an early stage of AD. The proposed method reveals discriminative brain network features effectively and provides a reliable classifier for AD detection. Compared to traditional classifiers based on R-fMRI time series data. The proposed work is also able to classify the different types of Alzheimer’s disease as well as a particular stage of the disease. Finally, we will compare our deep learning approach accuracy with existing systems. In this paper, we proposed a system using deep learning with brain network and clinical relevant text information to make an early diagnosis of Alzheimer’s Disease (AD). The clinical relevant text information includes age, gender and ApoE gene of the subject. The brain network is constructed by computing the functional connectivity of brain regions using resting-state functional magnetic resonance imaging (R-fMRI) data. A targeted autoencoder network is built to distinguish normal aging from mild cognitive impairment, an early stage of AD. The proposed method reveals discriminative brain network features effectively and provides a reliable classifier for AD detection.
Published by: Souparnika Padaki Patil, Dr. Anant M. Bagade
Author: Souparnika Padaki Patil
Paper ID: V5I4-1174
Paper Status: published
Published: July 12, 2019
An investigation on anti-depressant activity of fresh fruit juice of Malus domestica in experimental animal models
Objective: To evaluate the anti-depressant effect of acute and chronic administration of fresh fruit juice of Malus domestica in experimental animal models. Methods: Anti-depressant activity of fresh fruit juice of Malus domestica was investigated in experimental animal models. Two doses 0.5ml and 1ml of FFJMD (oral route) was subjected for the evaluation as acute (1day) and chronic treatment (10days). Imipramine (10mg/kg oral) was used as standard in all the models of animals and parameters estimated includes estimation of biochemical parameter (mono amino oxidase). Results: Both the lower (0.5ml) and higher dose (1ml) of Malus domestica fresh fruit juice showed dose dependent significant decrease in depression. In acute and chronic forced swim test as well as acute tail suspension test, duration of immobility was significantly reduced in the FFJMD 1 ml and 0.5 ml treated group but the effectiveness was found more in FFJMD 1 ml. In hole board test there is increase in activity with FFJMD 0.5 ml and 1 ml treated groups and increase in biochemical parameter such as mono amino oxidase when compared with depressive control. The antidepressant activity of 1 ml was comparable to that of Imipramine 10 mg/kg. Conclusion:The present study suggests that fresh fruit juice of Malus domestica has antidepressant activity in both the doses but more beneficial effect was found in chronic administration at 1 ml. It would be advisable to encourage consumption of Malus domestica extract in patients with depression because of its nutritional and functional properties.
Published by: Avrin Romitha Lobo
Author: Avrin Romitha Lobo
Paper ID: V5I4-1171
Paper Status: published
Published: July 12, 2019
Face detection method using OpenCV
Currently, the OpenCV function library is being used and becoming more common and used in digital images Processing to solve some image processing problems which can improve image processing efficiency. it is a computer vision method that helps to find and visualize the faces in digital images view. This method is a special use in the case for object detection methods that process instances of semantic objects that detect certain classes (for example, people, buildings, or cars, etc.) in digital images and video. this technology plays an important role in Improve the recognition rate of face recognition systems in noise environment and curse Communicate with others. In this research paper, we discussed the use of face detection method in classrooms for attendance as well as for safety, security reasons and method of the detection faces which can adopt the relative positions of every specific face present in the classroom. The experiments show that this method can quickly and efficiently extract the face region, and improve the face segmentation precisely.
Published by: Shubham Singh, Rainy Jain
Author: Shubham Singh
Paper ID: V5I4-1168
Paper Status: published
Published: July 11, 2019
Comparative study of multi-storey multi-span buildings by PEB and CSB concept
Pre Engineered Buildings (PEB) are steel structures which are prefabricated and build in a very short period of time.PEB has its origin in the 1960s, but these are widely in practice in almost all parts of the world during recent years. Construction of steel buildings and the steel industries are rapidly growing in India as well as other parts of the world. For the construction of the industrial shed, residential buildings and commercial complex, Conventional steel building concept are commonly in practice. PEB concept is also simple and can be easily adopted and used extensively for the construction of Industrial, Residential and Commercial Buildings. The adoptability of PEB in the place of CSB design concept resulted in many advantages, including light weight structures, economical and easier fabrication process. For the construction of CSB, hot rolled sections are used which have uniform cross-section throughout the length, whereas in the construction of PEB steel sections, which are tailored and profiled based on the required loading effects are used. The concept includes the technique of providing the best possible section according to the optimum requirement. Due to lack of awareness and confidence in the design and execution of PEB buildings, still, it is not the first choice of owner and designer in India. The present work involves the comparative study of PEB and CSB Concept for a multi-story building. This is achieved by analyzing and designing G+4, G+2 and G+1 commercial building with length 140m, width 40m, eave height 18m,12m, and 9m respectively R slope 1/10 using STADD PRO and IS 800-2007 Design code, by both concepts.
Published by: Md ShahidWasim Chaudhary, Dr. Nagesh Shelke, Vishwajeet Kadlag
Author: Md ShahidWasim Chaudhary
Paper ID: V5I4-1167
Paper Status: published
Published: July 11, 2019
