International Journal of Engineering Research and 

About: International Journal of Engineering Research and is an academic journal. The journal publishes majorly in the area(s): Aggregate (composite) & Cloud computing. Over the lifetime, 3884 publications have been published receiving 5104 citations.

Review on - Nanotechnology Applications in Food Packaging and Safety

Abstract: Nanotechnology, the science of very small materials, is poised to have a big impact in food production and packaging. Public perception will be crucial to the realization of these technological advances. Today, nanotech R&D of food packaging and the monitoring of nanotech food packaging is a major focus in the food industry. Due to very large aspect ratios, a relatively low level of nanoparticle is sufficient to change the properties of packaging materials without significant changes in density, transparency and processing characteristics. New packaging solutions will focus more on food safety by controlling microbial growth, delaying oxidation, improving tamper visibility, and convenience. The rapid use of nano-based packaging in a wide range of consumer products has also raised a number of safety, environmental, ethical, policy and regulatory issues. Nanotechnologies are expected to play a major role, taking into account all additional safety considerations and filling present packaging needs. This review also provides the most complete accounting of nano-enabled packaging for food products in various markets around the globe.

Credit Card Fraud Detection using Machine Learning and Data Science

Abstract: It is vital that credit card companies are able to identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Such problems can be tackled with Data Science and its importance, along with Machine Learning, cannot be overstated. This project intends to illustrate the modelling of a data set using machine learning with Credit Card Fraud Detection. The Credit Card Fraud Detection Problem includes modelling past credit card transactions with the data of the ones that turned out to be fraud. This model is then used to recognize whether a new transaction is fraudulent or not. Our objective here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications. Credit Card Fraud Detection is a typical sample of classification. In this process, we have focused on analysing and pre-processing data sets as well as the deployment of multiple anomaly detection algorithms such as Local Outlier Factor and Isolation Forest algorithm on the PCA transformed Credit Card Transaction data. Keywords— Credit card fraud, applications of machine learning, data science, isolation forest algorithm, local outlier factor, automated fraud detection.

A study of various Fuzzy Clustering Algorithms

Abstract: In data mining clustering techniques are used to group together the objects showing similar characteristics within the same cluster and the objects demonstrating different characteristics are grouped into clusters. Clustering approaches can be classified into two categories namely- Hard clustering and Soft clustering. In hard clustering data is divided into clusters in such a way that each data item belongs to a single cluster only while soft clustering also known as fuzzy clustering forms clusters such that data elements can belong to more than one cluster based on their membership levels which indicate the degree to which the data elements belong to the different clusters. Fuzzy C-Means is one of the most popular fuzzy clustering techniques and is more efficient that conventional clustering algorithms. In this paper we present a study on various fuzzy clustering algorithms such as Fuzzy C-Means Algorithm (FCM), Possibilistic C-Means Algorithm (PCM), Fuzzy Possibilistic C-Means Algorithm (FPCM) and Possibilistic Fuzzy C Means Algorithm (PFCM) with their respective advantages and drawbacks.

Comparison of Selexol TM and Rectisol ® Technologies in an Integrated Gasification Combined Cycle (IGCC) Plant for Clean Energy Production

Abstract: In this study, a comparison of Selexol TM and Rectisol ® technologies in an Integrated Gasification Combined Cycle (IGCC) plant for Clean Energy production was carried out .The overall plant efficiency, individual solvent performance, the operating conditions and the energy requirements, the capital and operating cost were analyzed as well as the safety and environmental impacts. The result revealed that both the Selexol TM and Rectisol ® reduce the overall plant efficiency by approximately 9% and 10% respectively. Rectisol ® process showed ability to recover more carbon dioxide and sulfur than the Selexol TM process. It was TM technology in the IGCC

The Impact of Gender on Attitude Towards Computer Technology and E-Learning: An Exploratory Study of Punjab University, India

Abstract: Technological advancement has led to important changes in the way education is being imparted Evolution of internet and advancement in computer technology has led to new approaches in learning and training which are referred to as e-Learning This study aims to understand the relationship between gender and attitude towards e-learning Literature shows that gender plays a key role in understanding the differences in perception towards usefulness of technology and ease of use but with regards to attitude and perception towards e-learning diverse views have been presented This paper analyses the effect of gender on attitude towards computer technology and e-learning collectively It also analyses the impact of gender on the usage of the basic elearning forms like uploading/downloading course content, interactive videos and pod casting A questionnaire was developed to collect the necessary data Scale on Computer and e-learning attitude (SCAELA) was constructed and validated In this study 477 students enrolled in various courses across many departments in Panjab University Chandigarh were analyzed The results showed that no significant relationship exists between gender and attitude towards computer and e-learning The usage of various elearning forms also showed a non-significant relationship with gender The future developments in e-learning can take note of this finding while developing e-learning tools which are efficient