Volume-6 , Issue-3 , Mar - 2018 Go Back

In recent years, the amount of images are increasing due to advancement in the technologies. This proliferation in Image data demands analysis and generation of image descriptions. The generated image captions must describe the image in a precise manner, covering all aspects of the image. Automatic image caption generation has emerged as an important task of research in the new integrated community of language-vision. Image captioning techniques can be broadly divided into data-driven and feature-driven methods. Data-driven techniques involve extraction of a similar image, whose caption is as it is copied or extraction of multiple images and then combining their captions to form appropriate caption for the input image. Feature based methods involve analyzing the visual content of the image and then generating natural language sentences. In this paper, we have reviewed both the methods along with the most efficient feature based technique that uses Convolution Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). Various CNN-RNN based techniques are proposed by researchers to solve the Image captioning task and have achieved remarkable results. First, image objects and their relations are analyzed using CNN and then RNN are used for sentence generation. We have also elaborated the concept of CNN.

Image captioning, image understanding, CNN, RNN, natural language generation

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Khushboo Khurana, Shyamal Mundada, "Image Caption Generation: A Survey," International Journal of Computer Sciences and Engineering, Vol.6, Issue.3, pp.256-262, 2018.

Cloud computing is the paradigm used to provide resource on share basis to multiple machines. Due to availability of resources this mechanism becoming extremely popular for accessing resources as and when desired by machines. Reliability however is the issue associated with cloud computing. Data transferred and stored over the cloud will be under siege due to the malicious access or attacks. This paper present the comprehensive survey of techniques used in order to encrypt the data and enhance reliability of cloud. Cloud reliability enhancement is ensured using the encryption algorithms which are researched over the past era. Efficient parameters are extracted and qualitative comparison is presented to depict the efficient encryption mechanism that can be used in future works.

Cloud Computing, Reliability, Encryption

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Mehak Gandhi, Kiranbir Kaur, "Enhancing Secure and Efficient Online Data Storage over Cloud Using Homomorphic with Probabilistic Encryption," International Journal of Computer Sciences and Engineering, Vol.6, Issue.3, pp.263-268, 2018.

The storage and management ............... that show promising results.

Distributed framework, distributed computing

[1]. Vairaprakash Gurusamy, S.Kannan, K.Nandhini, “ The [2]. Vairaprakash Gurusamy, K.Nandhini, “Ibis: The New Era for Distributed Computing”, International Journal of Engineering Sciences and Research Technology (IJESRT), ISSN: 2277-9655, Volume 7, Issue 1, DOI: 10.5281/zenodo.1135392

Vairaprakash Gurusamy, S. Kannan, K. Nandhini, "A Study on Distributed Computing Framework: Hadoop, Spark and Storm," International Journal of Computer Sciences and Engineering, Vol.6, Issue.3, pp.269-274, 2018.

Social networking apps offer a straightforward way for people to have a simple social presence through web. They provide a virtual environment for people to share each and every activity, their interests, and their circle of acquaintance with their family, friends, or even the unknown. With so much sharing, hackers, attackers, kidnappers and thieves have found very easy ways to steal personal information through these networking apps. In this paper, we will discuss a main and security breach and its respective prevention techniques. In this paper we propose an application for secure exchange of photos and profile safety between users. This architecture improves the customization of profiles.

Social Apps, Android Apps,Prevention,Security Breach,Profile,Photographs

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[2] Kurt Wagner,Rani Mallo, ` It’s getting harder and harder to tell Instagram, Facebook, Snapchat and Twitter apart`, 2017. [Online].Available:https://www.recode.net/2017/4/4/15168010/social-media-facebook-instagram-snapchat-twitter-live-stories-apps-copying [Accessed: 5- Dec- 2017].
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[5]Jeff Dunn, `Here`s How Slowly Twitter Has Grown Compared To Facebook, Instagram, And Snapchat `, 2017. [Online]. Available: https://www.businessinsider.in/heres-how-slowly-twitter-has-grown-compared-to-facebook-instagram-and-snapchat/articleshow/57090718.cms [Accessed: 15-Nov- 2017].
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Deepali Virmani, Nikita Jain,Priya Bhasin,Devansh Chopra, "Capture Me:Identifying and Characterizing Photo Screenshot Privacy in Social Media Apps," International Journal of Computer Sciences and Engineering, Vol.6, Issue.3, pp.275-281, 2018.

Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources like networks, servers, storage, applications, and services that can be rapidly provisioned and released with minimal management effort or service provider interaction. “Arcus Cloud” aims at establishing a private cloud that works on high speed LAN and enhances the cost efficiency pertaining to the resource requirement of an organization. Arcus Cloud provides a platform for the allocation of various resources such as storage, processor, hardware and software resources via Virtualization. LAN being the most common medium of connectivity across any organization, Arcus Cloud shall prove to be a distinct example that portrays the simplicity of establishing a Private Cloud that efficiently handles resource allocation. Arcus Cloud aims at providing on – demand services with greater flexibility, reliability, elasticity and scalability. The project aims at providing a user friendly interface for accessing various services provided by the platform, namely Arcus Cloud. Configuring and managing authentication server that ensures privacy and security of its end users is the first priority. It also gives a brief idea about the concepts of Load Balancing and Live Migration which can constitute the future modules of this project. Basically Arcus Cloud will prove to be an exceptional example at describing how efficiently a Private Cloud can be established and this Private Cloud will be highly scalable thus easy to expand as per the user requirements.

Cloud Computing, Arcus Cloud, Private Cloud, PaaS, Hypervisor, Virtualization, Virtual Machines, Authentication Server, Load Balancing, Live Migration

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Vishva Patel, Dhara Patel, Sunit Parmar, "Arcus Cloud: A Private Cloud Establishment," International Journal of Computer Sciences and Engineering, Vol.6, Issue.3, pp.283-291, 2018.

In today’s world diabetes is the major health challenges in India. It is a group of a syndrome that results in too much sugar in the blood. It is a protracted condition that affects the way the body mechanizes the blood sugar. Prevention and prediction of diabetes mellitus is increasingly gaining interest in medical sciences. The aim is how to predict at an early stage of diabetes using different machine learning techniques. In this paper basically, we use well-known classification that are Decision tree, K- Nearest Neighbors, Support Vector Machine, and Random forest. These classification techniques used with Pima Indians diabetes dataset. Therefore, we predict diabetes at different stage and analyze the performance of different classification techniques. We Also proposed a conceptual model for the prediction of diabetes mellitus using different machine learning techniques. In this paper we also compare the accuracy of the different machine learning techniques to finding the diabetes mellitus at early stage.

Diabetes; Decision Tree, K-Nearest Neighbors, Machine Learning, Random Forest, Support Vector Machine.

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N.A. Farooqui, Ritika, A. Tyagi, "Prediction Model for Diabetes Mellitus Using Machine Learning Techniques," International Journal of Computer Sciences and Engineering, Vol.6, Issue.3, pp.292-296, 2018.

Cloud computing is a new frontier in computing technologies. It is well known for its pay-per-use model for billing customers and providing other features like elasticity, ubiquity, scalability, and availability of resources for businesses. Cloud computing provides delivery models like Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), and Infrastructure-as-a-Service (IaaS) which can be utilized by various organizations to solve their data storage and processing needs. From recent surveys conducted by well known reputed cloud providers, it is apparent that more and more organizations and enterprises are moving their workloads to cloud. The top concern among the organizations to move their workloads or processes to cloud is security. Even though the security measures provided in cloud computing are evolving over the years, it still remains as a major challenge or obstacle. This paper provides an overview of numerous threats and vulnerabilities of cloud computing which can act as a guide to decision makers in organizations to evaluate the security in clouds.

Cloud Computing, Cloud Security, Cloud Threats, Cloud Vulnerabilities

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[8] R.Piplode, P. Sharma and U.K. Singh, "Study of Threats, Risk and Challenges in Cloud Computing", International Journal of Scientific Research in Computer Science and Engineering, Vol.1, Issue.1, pp.26-30, 2013
[9] S.L.Mewada, U.K. Singh, P. Sharma, "Security Enhancement in Cloud Computing (CC)", International Journal of Scientific Research in Computer Science and Engineering, Vol.1, Issue.1, pp.31-37, 2013
[10] N. Khan and A. Al-yasiri, "Identifying Cloud Security Threats to Strengthen Cloud Computing Adoption Framework," Procedia - Procedia Comput. Sci., vol. 94, pp. 485–490, 2016.
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[13] B.SriVarsha, P.S.Suryateja, "Using Advanced Encryption Standard for Secure and Scalable Sharing of personal Health Records in Cloud," International Journal of Computer Science and Information Technologies (IJCSIT), Vol. 5(6), 7745-7747, 2014.

P.S. Suryateja, "Threats and Vulnerabilities of Cloud Computing: A Review," International Journal of Computer Sciences and Engineering, Vol.6, Issue.3, pp.297-302, 2018.

Cloud Computing has been a one-key, cost-effective solution for many small I.T industries from past few decades in terms of storage, computation etc. It provides different kinds of services and infrastructural support. While cloud makes these services more appealing, it also brings some critical security threats to the cloud service users as well as to the cloud service providers. In this paper authors have tried to identify major security threats faced by different models of cloud in current day scenario and providing with some suitable solutions addressing those threats like One-time password, Homomorphic encryption technique, Access control and Data Recovery mechanism in different cloud deployment models.

Third Party Auditor, One-time password, Homomorphic encryption technique, Access control and Data Recovery mechanism, Cloud Service User (CSU), Cloud Service Provider(CSP).

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P. Indu, S. Bhattachryya, "A Secure Cloud Environment," International Journal of Computer Sciences and Engineering, Vol.6, Issue.3, pp.303-315, 2018.

Frequent sets play a crucial role in many Data Mining tasks that try to find interesting patterns from databases, such as correlations, association rules, classification and clustering. The Association Rules is one of the most used functions in data mining. The method is used both database researchers and data mining users. In this article, association rule mining algorithms are discussed and demonstrated. Mining Associate rule algorithm that search for approximate strong association rules from multimedia databases. The Apriori-like sequential pattern mining approach based on candidate generates-and test can also be explored by mapping a sequence multimedia database into vertical data format. This approach is useful to finding frequent itemsets, which probabilistic frequent itemsets based on possible datasets.

Web Multimedia Mining, Association rule, Frequent itemsets, Knowledge discovery

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Basavaraj A. Goudannavar, Prashant Bhat, "Frequent Itemset Mining: A Metadata Based Approach for Knowledge Discovery," International Journal of Computer Sciences and Engineering, Vol.6, Issue.3, pp.316-320, 2018.

Cloud computing, a modern world technology ensures that the resources are efficiently utilized, provisioned and are available all the time. When one virtual machine is running on one host and then urge rises to migrate that Virtual Machine to some other host on the same or different network; then live migration of Virtual Machines comes into the picture. In the simple live migration of processes, applications or virtual machines, process as well as operating system, on which the machine is operating needs to be migrated. But with the introduction of containers in the cloud computing, migration process becomes easy and less complex. Now, only the process or the virtual machine is only migrated to another host, regardless of the underlying operating system. Containers had made migration process easy because they contain inbuilt operating system in them. In this paper, we are going to review different containers that are used in the live migration of virtual machines.

Cloud Computing, Containers, High-Performance Computing, Live Migration, Virtualization

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Anmol Bhandari, Kiranbir Kaur, "A Comparative Study of Containers for Live Migration in Cloud Computing Environment," International Journal of Computer Sciences and Engineering, Vol.6, Issue.3, pp.321-326, 2018.