Rahul Sharma ¹, Prateek Jain ¹

Affiliations
1 School of Computer Application, Lovely Professional University, Jalandhar-Delhi, G.T. Road, National Highway 1, Phagwara - 144411, Punjab, IN

Abstract

Objectives: Smart Device with Open Source Platform, cloud tools and technologies are at the key point of healthcare variation. E-Devices replacing on manual basis or automated medical reports/graphs, private or secure clouds provide private access to automated healthcare records and device based device collaboration tools are reforming information share among medical experts. Methods/Analysis: In proposed Work, We are using Open Source API like Google API within system for automatic improvement of the entire system rather than deploy each time system after new version of implemented platform. According to below mentioned Proposed Work, We are encrypt word with current timestamp middle number using sampling method and every time system will auto decrypt private data with same TIMESATMP technique on receiver side panel. Findings: All the findings are mentioned in the form of statements given below: Statement 1: Existing System: MICROSOFT <Voice Recognizer /Speech Recognizer Tools, Media Tools> [Working on Only WINDOWS based platform] Statement 2: Existing System: PREBUILD ALGORITHM <AES/DES/CRYPT5/MD5> [Easy to Decrypt with predefined decryption methods]. Novelty/Improvement: Smart Devices based healthcare applications will more advance with Open Source Based API and Private data will more secure.

Keywords

EWSEA, Health Cloud Server, Healthcare Routes, Mobile Cloud Server, Portable Computing.

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Prateek Jain ¹

Affiliations
1 School of Computer Application, Lovely Professional University, Phagwara - 144411, Punjab, IN

Abstract

Objectives: This paper discusses about the component based software engineering approach along with its classification of various approaches of CBSE and Component Based Development [CBD] and the life cycle development model of Component Based Software Development [CBSD] has been proposed by the component re-usability concept in lieu of reducing the software cost. Method: The main focus of the software engineering and component based software engineering is the development of the software in such a manner that it might be used again for the development of some other software. Component Based Software Engineering [CBSE] includes the use of components lying in the component repository while software re-engineering focusses relies with using the concept of forward and reverse engineering. This is done for reducing the software development cost by making use of Component Based Software Engineering [CBSE] principles and s/w reengineering techniques. Findings: Now a-days the development of software from the scratch has become less prioritized and is being used very less. Component based software engineering plays a very vital role in developing of the software not from scratch but instead using the existing components for the development of new software. Hence it can be concluded or finded that the cost of the software development from the re-usability concept can be reduced to a large extent in comparison to the software development from the very scratch being a very costly measure. The proposed model will be helpful in reducing the software development cost by using the component based development strategy. Applications / Improvements: The proposed SDLC model for CBSD can be used for the real life applications as well and thereby can be re-used again and again as per the requirements of the industry.

Keywords

CBD, CBSD, CBSE.

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Rajni Bhalla ¹, Prateek Jain ¹

Affiliations
1 School of Computer Application, Lovely Professional University, Phagwara - 144411, Punjab, IN

Abstract

Objectives: Due to proliferation of internet spammers post fake audit to embrace or minimization items. Objective is to purpose a model that can extract spam reviews and implicit reviews. Methods/Statistical Analysis: Most research concentrated on extracting just explicit said highlights. Extraction of certain angle like implicit and spam gives more proficient result even in rating too. Pattern discovery method are proposed to known different behaviors to discover spam review. Detection metrics could be used to score every survey. Findings: Because of absence of dialect builds in the sentence implicit verifiable viewpoint extraction a mind boggling issue. Most research concentrated on extracting just explicit said highlights. The major weakness of the methods are lack of gold-standard dataset,unable to achieve better accuracy. The framework builds time arrangement of number of surveys for every brand and recognizes spam audits from genuine assessments subsequent to distinguishing suspicious intervals. Novelty/Improvements: Before obtaining anything,we need to know conclusion of others. By headway of social websites, opinion settles on potential choice for customer. Even manufacturers can enhance the nature of their item. This proposed model also has the capacity to cover dominant part of the elements which are the deciding factors for the effectiveness of aspect mining framework.

Keywords

Implicit Review, Spam Review, Sentiment Orientations.

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V. Thanikaiselvan ¹, Tushar Bansal ¹, Prateek Jain ¹, Shounak Shastri ¹

Affiliations
1 School of Electronics Engineering, VIT University, Vellore - 632014, Tamil Nadu, IN

Abstract

Background/Objectives: The advancement of information exchange through internet has made it easy to transfer the exact information faster to the destination. Exchange the information safely to the destination with no alterations, there are many approaches like Cryptography, Steganography and Watermarking. Methods/Statistical Analysis: Steganography is a method of hiding a secret data in other cover medium. Digital Images are popular for cover medium than other because of their frequent use on the internet. In this paper a transform domain steganography with 9/7 Integer Wavelet Transform (IWT) is proposed. A pixel adaptive embedding method using LSB (Least Significant Bit) method is employed to increase the security of the secret data embedded in the a cover medium. Graph Theory is used to select the coefficients randomly for embedding the secret messages. Findings: It is found that the proposed method provides good security and high capacity. This algorithm can be applicable for all kinds of secret communications. Finally Results are compared with 5/3 IWT. Applications/Improvements: This method can be applied for all the secret communication applications especially Defence, Telemedicine, etc. This proposed method developed further in terms of robust against various steganalysis tools.

Keywords

Adaptive Embedding, Data Hiding, IWT, Steganography, Security

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