Search

As we are familiar with the increasing number and demand for online videos on the internet has led to difficulty in the extraction of required data. The recommendation system is used to filter or to collect information according to the user's preference. Nowadays, the use of recommendation systems has become important so that we can find more relevant data from huge sources. Based on the attributes such as genres, we can recommend important videos to different users. There are different video recommendation problems such as cold start, data sparsity, etc. Here in this paper, we are solving the data sparsity problem which is considered as the biggest problem as it can give poor results. There are different recommendation techniques that are used to solve various recommendation problems such as content-based filtering, real-time recommendation system, hybrid recommender system, single network-based recommendation system, collaborative filtering. We are using a single-network recommendation system to enhance the quality of recommendation.

The objective of this article is to identify the proactive and reactive risk identification and analysis of steam generating unit (SGU) in sugar plant. The expert discussion and fish-bone diagram were used for identification and presentation of operational risk, and in the second phase, fuzzy multi-attribute decision-making method (MADM) and failure mode and effect analysis (FMEA) were used to carry out the risk analysis. The conventional FMEA is susceptible to uncertainties. This uncertainty lies in the perfectly while and perfectly black area. This region of confusion is also called grey area. The limitation of conventional FMEA was removed by the application of fuzzy-based grey relational approach for prioritizing cause of failure. The results of the analysis were shared with maintenance engineer and system analyst. The output of the analysis will assist maintenance engineer for better understanding of risk in SGU and thereby planning its proper maintenance.

In today’s environment security becomes an important issue for both storage and transmission of multimedia data. Hence there is a need to secure the data from unauthorized access and to thwart the attack by the intruder in between transmission. Images play a great role for multimedia data. It depicts more information by visualization as compared to text data. The application of images in military communication, medical sciences, etc., requires high protection of image data only between the end users. Encryption is the process by which image is unreadable or in determined easily. AES (Advanced Encryption Standard) is an algorithm which is used to encrypt any multimedia data and is used vastly because of its high security. This paper proposes to use simple and simplified steps of the AES algorithm for image encryption. The proposed algorithm provides high randomness in image data for providing high security in minimum number of operations. Java has been used for the implementation.

In this paper, an efficient structure of metamaterial is proposed to enhance the performance of an E-shaped micro strip antenna. E-shaped antenna has been considered for the research because of its advantages over other shapes. It is less vulnerable to interference when several other antenna elements are present in the vicinity. The frequency band selected for the design is 6–7 GHz, C-band. The E-shaped antenna proposed is intended to be applied for many satellite communications transmissions. The metamaterial structure is made up of two nested split octagonal rings located on a 10 × 10 FR4_epoxy with 1.6 mm thickness and dielectric constant of 4.4. The patch antenna substrate consists of a 5 × 4 array of such metamaterials. By using this metamaterial in the microstrip antenna, enhancement of performance parameters in terms of return loss is seen.