Universiti Teknologi Petronas

About: Universiti Teknologi Petronas is a education organization based out in Ipoh, Malaysia. It is known for research contribution in the topics: Adsorption & Ionic liquid. The organization has 6127 authors who have published 11284 publications receiving 119400 citations.

Resistive Random Access Memory (RRAM): an Overview of Materials, Switching Mechanism, Performance, Multilevel Cell (mlc) Storage, Modeling, and Applications

Abstract: In this manuscript, recent progress in the area of resistive random access memory (RRAM) technology which is considered one of the most standout emerging memory technologies owing to its high speed, low cost, enhanced storage density, potential applications in various fields, and excellent scalability is comprehensively reviewed. First, a brief overview of the field of emerging memory technologies is provided. The material properties, resistance switching mechanism, and electrical characteristics of RRAM are discussed. Also, various issues such as endurance, retention, uniformity, and the effect of operating temperature and random telegraph noise (RTN) are elaborated. A discussion on multilevel cell (MLC) storage capability of RRAM, which is attractive for achieving increased storage density and low cost is presented. Different operation schemes to achieve reliable MLC operation along with their physical mechanisms have been provided. In addition, an elaborate description of switching methodologies and current voltage relationships for various popular RRAM models is covered in this work. The prospective applications of RRAM to various fields such as security, neuromorphic computing, and non-volatile logic systems are addressed briefly. The present review article concludes with the discussion on the challenges and future prospects of the RRAM.

Twitter sentiment analysis

Abstract: Social media have received more attention nowadays. Public and private opinion about a wide variety of subjects are expressed and spread continually via numerous social media. Twitter is one of the social media that is gaining popularity. Twitter offers organizations a fast and effective way to analyze customers' perspectives toward the critical to success in the market place. Developing a program for sentiment analysis is an approach to be used to computationally measure customers' perceptions. This paper reports on the design of a sentiment analysis, extracting a vast amount of tweets. Prototyping is used in this development. Results classify customers' perspective via tweets into positive and negative, which is represented in a pie chart and html page. However, the program has planned to develop on a web application system, but due to limitation of Django which can be worked on a Linux server or LAMP, for further this approach need to be done.

Assessing the gasification performance of biomass: a review on biomass gasification process conditions, optimization and economic evaluation.

Abstract: Currently, the use of biomass as an energy source has received a tremendous amount of interest from all over the world due to its advantage in providing a continuous feedstock supply. Moreover, when compared to fossil fuels, biomass fuels possess negligible sulfur concentrations, produce less ash, and generate far less emissions into the air. Biomass has a potential to be a very promising alternative source of raw material for syngas production due to its tremendous availability. Syngas can be produced from the gasification of a biomass. However, this process requires a significant amount of energy due to the endothermic behavior of the reaction. The energy consumption during the gasification process is a major constraint on the thermal efficiency and on the design of the gasifier. Therefore, a substantial improvement and the optimization of the available gasification process are very crucial in developing a sustainable utilization of these renewable natural resources. This review article focuses on highlighting the characteristics and performances of the different types of gasifiers under variable process parameters that will affect the yields of the end products as well as the composition of the gas. The various types of models used in the simulations, the optimization of the gasification conditions and the economic evaluation of the gasification process will also be discussed.