today, the internet is the significant tool of online shopping in all around the world. online transaction systems make shopper possible to make payment for services or products utilizing the internet. the current paper purpose is to focus on the elements that can affect online repurchase intentions. in the current paper we utilized survey questionnaire to gather 102 in malaysia from those that...

although many scholars had proposed lots research results about online shopping, they are quite vague and hard for enterprisers to practice it. hence, this research observes the online store policies, services, functions, and activities among 17 online shopping platforms in taiwan, china, and hong kong. and, this research (1) finds online stores assessment items by literature review; (2) establ...

Over the past thirty years since the system R and Ingres projects started to lay the foundation for today’s RDBMS implementations, the underlying hardware and software platforms have changed dramatically. However, the fundamental RDBMS architecture, especially, the storage engine architecture, largely remains unchanged. While this conventional architecture may suffices for satisfying most of to...

We study the online convex covering problem and online convex packing problem. The (offline) convex covering problem is modeled by the following convex program: min ~ x∈Rn+ f(~x) s.t. A~x ≥ ~1 where f : R+ 7→ R+ is a monotone and convex cost function, and A is an m × n matrix with non-negative entries. Each row of the constraint matrix A corresponds to a covering constraint. In the online probl...

Currently, there has been an increasing development in the area of location-based service. An important type of query in this area is k nearest neighbor (kNN) query, which retrieves the top k nearest neighbors based on the user's position. Although a wide spectrum of work has been conducted on this query type, most of these studies focus on the ideal Euclidean plane without obstacles considered...

Substantial amounts of spatio-temporal data sets have been collected over the past few decades and are being generated at an ever-increasing rate. It is currently extremely difficult to extract and make use of the information embedded in these data collections. In this paper, we describe an information discovery system, called GIDE (Grid Information Discovery Engine) based on new spatial OLAP t...

Symbol detection techniques in online handwritten graphics (e.g. diagrams and mathematical expressions) consist of methods specifically designed for a single graphic type. In this work, we evaluate the Faster R-CNN object detection algorithm as a general method for detection of symbols in handwritten graphics. We evaluate different configurations of the Faster R-CNN method, and point out issues...

With the growth in interactive network games comes increased importance in a better understanding of the effects of latency on game performance. While previous work has measured the effects of latency on first-person shooters and real-time strategy games, there has been no systematic investigation of the effects of latency on sports games. In this work, we study the effects of latency on online...