Simulation of CO2 Injection in Gas Reservoir Using ECLIPSE

This paper examines on the recovery factor of natural gas production by injecting CO2 into a natural gas reservoir. This task will be performed by using reservoir simulation software (Eclipse). This injection interacts with CH4 to create conditions favorable for gas recovery. The main target of this project is to investigate the optimum injection rate to get the optimum recovery of methane production. In addition, carbon sequestration study with enhanced gas reservoirs is also investigated in this study. A study of carbon sequestration is focused on the variation of reservoir pressure to get the optimum amount of gas stored in the reservoir

Simulation of CO2 Injection in Gas Reservoir Using ECLIPSE

This paper examines on the recovery factor of natural gas production by injecting CO2 into a natural gas reservoir. This task will be performed by using reservoir simulation software (Eclipse). This injection interacts with CH4 to create conditions favorable for gas recovery. The main target of this project is to investigate the optimum injection rate to get the optimum recovery of methane production. In addition, carbon sequestration study with enhanced gas reservoirs is also investigated in this study. A study of carbon sequestration is focused on the variation of reservoir pressure to get the optimum amount of gas stored in the reservoir

IT transfer program in the creation of innovative and loyal IT professionals in Malaysia

Mobility and turnover among IT professionals is a lost to Malaysian organizations since it disrupts project schedules and increases retraining cost and time. One major reason for leaving the current job is a small opportunity for self and career advancement in the former organization. To meet this professionals’ demand, this paper suggests organizations in Malaysia to develop and implement a learning mechanism through the creation of Information Technology Transfer (ITT) Program. The case studies in Malaysia have identified that a good ITT program can play an important role towards creating and maintaining pool of knowledge and professional workers. It is also helpful in supporting organizations to establish longer-term IT transfer and new learning strategies and provide personalized coaching to IT professionals no matter where they are at the moment of need. The program can be fully benefited if it is built with specific and well-planned objectives, design and delivery, monitoring and evaluation mechanism, and benefits

A Pre-Process Enhanced Digital Image Correlation Approach for Smart Structure Monitoring

This research provides a practical guideline for Digital Image Correlation (DIC) data variations minimization in structural engineering through simple image processing techniques. The main objective of this research is to investigate the Pixel Averaging (P.A.) effect on the differential strain Diff(εx) variations. Three concrete arches were tested with three-point bending using the DIC technique for strain measurements. The measured strains are obtained through two virtual horizontal extensometers in the middle of each arch. The Diff(εx) was selected to avoid other 2D-DIC issues, such as the sample-camera out-of-plane movement. Three image cases, namely, one, ten, and twenty averaged images, were used for DIC analysis of each arch. The conditions of each image case are assessed by computing the Diff(εx) variance and the linear least square criterion (R2) between the two extensometers. The second objective is to examine the speckles’ dilation effects on the speckle pattern density and surface component quality utilizing the Image Erode (I.E.) technique. The (P.A.) technique provided consistent differential strain Diff(εx) values with a variance reduction of up to (90%) when averaged images were used. The (R2) has considerably increased (from 0.46, 0.66, 0.91 to 0.90, 0.96, 0.99), respectively, for the three samples. Moreover, the (I.E.) technique provided qualitatively denser speckles with a highly consistent DIC surface component

A Pre-Process Enhanced Digital Image Correlation Approach for Smart Structure Monitoring

This research provides a practical guideline for Digital Image Correlation (DIC) data variations minimization in structural engineering through simple image processing techniques. The main objective of this research is to investigate the Pixel Averaging (P.A.) effect on the differential strain Diff(εx) variations. Three concrete arches were tested with three-point bending using the DIC technique for strain measurements. The measured strains are obtained through two virtual horizontal extensometers in the middle of each arch. The Diff(εx) was selected to avoid other 2D-DIC issues, such as the sample-camera out-of-plane movement. Three image cases, namely, one, ten, and twenty averaged images, were used for DIC analysis of each arch. The conditions of each image case are assessed by computing the Diff(εx) variance and the linear least square criterion (R2) between the two extensometers. The second objective is to examine the speckles’ dilation effects on the speckle pattern density and surface component quality utilizing the Image Erode (I.E.) technique. The (P.A.) technique provided consistent differential strain Diff(εx) values with a variance reduction of up to (90%) when averaged images were used. The (R2) has considerably increased (from 0.46, 0.66, 0.91 to 0.90, 0.96, 0.99), respectively, for the three samples. Moreover, the (I.E.) technique provided qualitatively denser speckles with a highly consistent DIC surface component

A Telemedicine Tool Framework For Lung Sounds Classification Using Ensemble Classifier Algorithms

Telemedicine is one of the medical services related to information exchange tools (eHealth). In recent years, the monitoring and classification of acoustic signals of respiratory-related disease is a significant characteristic in the pulmonary analysis. Lung sounds produce appropriate evidence related to pulmonary disorders, and to assess subjects pulmonary situations. However, this traditional method suffers from restrictions, such as if the doctor isn’t very much practiced, this may lead to an incorrect analysis. The objective of this research work is to build a telemedicine framework to predict respiratory pathology using lung sound examination. In this paper, the three approaches has been compared to machine learning for the detection of lung sounds. The proposed telemedicine framework trained through Bagging and Boosting classifiers (Improved Random Forest, AdaBoost, Gradient Boosting algorithm) with an extracted set of handcrafted features. The experimental results demonstrated that the performance of Improved Random Forest was higher than Gradient Boosting and AdaBoost classifiers. The overall classification accuracy for the Improved Random Forest algorithm has 99.04%. The telemedicine framework was implemented with the Improved Random Forest algorithm. The telemedicine framework has achieved phenomenal performance in recognizing respiratory patholog

Advancements in Adsorption Techniques for Sustainable Water Purification: A Focus on Lead Removal

The long-term sustainability of the global water supply, with a paramount emphasis on cleanliness and safety, stands as a formidable challenge in our modern era. In response to this pressing issue, adsorption techniques have emerged as pivotal and widely recognized solutions for the removal of hazardous pollutants, with a particular emphasis on lead adsorption from wastewater. This comprehensive review explores the relentless advancements made in the adsorption domain, highlighting innovations using separation and purification techniques that surpass traditional metal oxide-based adsorbents. Of particular note is the growing exploration of alternative materials, such as starch, chitosan, nanoscale structures like zeolites and metal-organic frameworks, magnetic materials, and carbon-based substances for the development of inorganic adsorbents. These materials, with their remarkable capacity for nanoscale structural adjustment, possess extraordinary capabilities for effective contaminant removal, facilitating swift water purification. The literature survey for this review was conducted using the Google Scholar engine, with “adsorbents for lead remediation” as the starting keywords, resulting in approximately 6000 papers. The search was refined to focus on the last three years and specifically targeted review papers which are most relevant to lead remediation. More than 100 papers were analysed to investigate various techniques, surface modifications, and adsorbent materials for managing inorganic pollutants in water. This review also illuminates research limitations, with a specific focus on starch-based adsorbents in lead remediation. As we progress towards practical commercial applications, this review identifies challenges associated with the development of inorganic adsorbents and provides invaluable insights into future prospects. Surface modification emerges as a promising path, with the potential to substantially enhance adsorption capacity, potentially doubling or even quadrupling it. Moreover, the adsorbents demonstrate impressive regenerative capabilities, maintaining up to 90% regeneration efficiency after multiple cycles. In conclusion, starch-based adsorbents show considerable potential as effective agents for lead purification from aquatic environments. Nevertheless, the need for further research persists, emphasizing the optimization of the adsorption process and exploring the long-term stability of starch-based adsorbents in real-world scenarios

Use of sargassum polycystum as a prebiotic agent

The present invention discloses the use of Sargassum polycystum as a prebiotic agent. Accordingly, the present invention provides feed compositions or pharmaceutical compositions with prebiotic function, which comprise Sargassum polycystum in an amount of 1-3% by weight, as well as preparation methods thereof

Mechatronic design and development of an autonomous mobile robotics system for road marks painting

This paper presents a mechatronic design and development of a new Wheeled Mobile Robot prototype for autonomous road marks painting. The platform comprises four main units, namely, the differential drive, the measurement and vision, the processing and the painting units. The mechanical design of the platform is derived from the equilibrium of active/reactive forces theorem and the electrical motors are chosen based on the required driving torque. The electronics items such as sensors, actuators and the interface free controller cards are connected together in such a way that ensures high performance for exchanging the data between the on-board computer and other electronic parts. The embedded controller of the proposed platform has been developed to integrate the mechanical components with electronics system and software algorithms to enable the robot for navigating autonomously on the road. The painting system is attached with WMR platform to control automatically the flow of the paint during road marks painting. The platform design, components, control of the paint and the connection to the main WMR controller are fully presented. The results of the robotics road marks painting system shows the capability of the platform to apply the road marks painting while it is navigating autonomously on the road

Effect of gas flow rate on structural properties of zinc oxide nanowires grown by vapor-solid mechanism

ZnO nanowires have been grown on pre-coated (ZnO thin film) silicon (100) substrates with special attention on the effect of gas flow rate. The samples were fabricated using a simple thermal evaporation method within a horizontal quartz tube under controlled supply of Ar and O2 gas where ZnO powder source were previously weighed and heated at 960 °C for 2 h, allowing the reactant vapors to deposit onto substrate to form the nanowires. FESEM images revealed the randomly-oriented nanowires in which the shapes varied with increasing gas flow rates from varied from 90 to 130 sccm. According, both diameter and aspect ratio of the nanowires was observed to shift at 110 sccm where optimum growth condition was expected at this gas flow rate. From EDX spectrum analysis, ZnO nanowires appeared to have uniform composition and purity and confirming the hexagonal wurtzite crystal structure. These measured parameters in combination with unique properties made the possibility of ZnO nanowires potentially useful for functional nanodevices