Biometric E-Commerce: Security in B2C (Business-to-Consumer)

Every e-commerce transaction done online seemed to be a secure transaction. However, many users do not realize the fraud that happens while doing transactions. Of course, there are ways to curd this rising problem. The objective of this project is to study the feasibility and the security of e-commerce by implementing fingerprint biometric during transaction. The key point is to create a safe and secure environment for users to do transactions on the Internet without the need to worry about fraud. The methodology used will be Retotype, a combination of research and prototype. A Retotype will be modeled to capture the most efficient and secure e-commerce transaction method. The final product would be a prototype of an e-commerce website incorporated with fingerprint biometric as an authentication method. An implementation strategy would be analyzed to weigh how practical can this system work in the real world. I

Biometric E-Commerce: Security in B2C (Business-to-Consumer)

Every e-commerce transaction done online seemed to be a secure transaction. However, many users do not realize the fraud that happens while doing transactions. Of course, there are ways to curd this rising problem. The objective of this project is to study the feasibility and the security of e-commerce by implementing fingerprint biometric during transaction. The key point is to create a safe and secure environment for users to do transactions on the Internet without the need to worry about fraud. The methodology used will be Retotype, a combination of research and prototype. A Retotype will be modeled to capture the most efficient and secure e-commerce transaction method. The final product would be a prototype of an e-commerce website incorporated with fingerprint biometric as an authentication method. An implementation strategy would be analyzed to weigh how practical can this system work in the real world. I

Architecture of a GPS-based road management system

Malfunctioning traffic lights, potholes and roads in bad condition are only a few of the innumerable common thoroughfare problems that occasionally contribute to accidents. People tend to ignore reporting those issues as the channels for making a complaint is inconvenient. Accuracy of complaints is also at doubt as it tends to be general eg. Pothole at Ampang Road, in front of a police station. This paper presents the architecture of a Global Positioning System (GPS) based approach for reporting thoroughfare problems via Global System for Mobile Communications (GSM) for road maintenance management environment. To increase accuracy and efficiency, GPS can be used as it enables the tracking and tracing of the three figures of a GPS receiver’s coordinates namely longitude, latitude and altitude. Data like location, date and time will be optimized by mapping the site of where the thoroughfare problem exists in a map, with the intention that the relevant authorities could identify the spot and have the problems resolved responsively. The proposed system will serve as a handier and convenient alternative means for road users to send complaints to the relevant authorities, in addition to the existing channels, so that these issues could be addressed in a timely manner

Symbols in engineering drawings (SiED): an imbalanced dataset benchmarked by convolutional neural networks.

Engineering drawings are common across different domains such as Oil & Gas, construction, mechanical and other domains. Automatic processing and analysis of these drawings is a challenging task. This is partly due to the complexity of these documents and also due to the lack of dataset availability in the public domain that can help push the research in this area. In this paper, we present a multiclass imbalanced dataset for the research community made of 2432 instances of engineering symbols. These symbols were extracted from a collection of complex engineering drawings known as Piping and Instrumentation Diagram (P&ID). By providing such dataset to the research community, we anticipate that this will help attract more attention to an important, yet overlooked industrial problem, and will also advance the research in such important and timely topics. We discuss the datasets characteristics in details, and we also show how Convolutional Neural Networks (CNNs) perform on such extremely imbalanced datasets. Finally, conclusions and future directions are discussed

Meritocracy and elitism in a global city: Ideological shifts in Singapore

10.1177/0192512107083445International Political Science Review2917-27+121+12

Genome-wide association study identifies five new susceptibility loci for primary angle closure glaucoma.

Primary angle closure glaucoma (PACG) is a major cause of blindness worldwide. We conducted a genome-wide association study (GWAS) followed by replication in a combined total of 10,503 PACG cases and 29,567 controls drawn from 24 countries across Asia, Australia, Europe, North America, and South America. We observed significant evidence of disease association at five new genetic loci upon meta-analysis of all patient collections. These loci are at EPDR1 rs3816415 (odds ratio (OR) = 1.24, P = 5.94 × 10(-15)), CHAT rs1258267 (OR = 1.22, P = 2.85 × 10(-16)), GLIS3 rs736893 (OR = 1.18, P = 1.43 × 10(-14)), FERMT2 rs7494379 (OR = 1.14, P = 3.43 × 10(-11)), and DPM2-FAM102A rs3739821 (OR = 1.15, P = 8.32 × 10(-12)). We also confirmed significant association at three previously described loci (P < 5 × 10(-8) for each sentinel SNP at PLEKHA7, COL11A1, and PCMTD1-ST18), providing new insights into the biology of PACG