Recent years the prevalence of fraudulent websites has become more severe than before. Fraudulent ecommerce websites that sell counterfeit goods not only cost financial damage to consumers but also have a great impact on Internet industry. Nowadays, there is not an effective way to confront these websites. In this paper, we look forward to achieving three goals: find the characteristics of counterfeit websites, train models for classifying ecommerce websites and provide a service to help consumers distinguish counterfeit websites from legitimate ones.

Software quality properties, normally derived from non-functional requirements, are becoming more important for software. A main reason for software evolution is the unsatisfaction to software quality properties. When improving these properties through software evolution, it is essential to know whether software functions are affected and by how much. This paper proposes an approach to linking the functions with the quality properties of software for evolution via software architecture styles, aiming at contributing to (1) predicting evolution efforts and (2) transforming software for improving its quality.

Computer team games have attracted many players in recent years. Most of them are rule‐based systems because they are simple and easy to implement. However, they usually cause a game agent to be inflexible, and it may repeat a failure. Some studies investigated the learning of a single game agent, and its learning capability has been improved. However, each agent in a team is independent and it does not cooperate with others in a multiplayer game. This article explores an evolution strategy for a computer team game based on Quake III Arena. The Particle Swarm Optimization (PSO) algorithm will be applied to evolve a non‐player character (NPC) team in Quake III to be more efficient and intelligent. The evolution of a single NPC, which accommodates to its team and, moreover, the team has learning and cooperating abilities, will be discussed. An efficient team is composed of various members with their own specialties, and the leader is capable of evaluating the performance of a member and assigning it a proper job. Furthermore, the leader of an intelligent team will adapt a strategy appropriate for various circumstances and obtain the team's best performance. Instead of considering the tactic of an individual bot, this article takes the strategy of a team into account.

N-finder algorithm (N-FINDR) has been widely used in endmember extraction. When it comes to implementation several issues need to be addressed. One is determination of endmembers, p required for N-FINDR to generate. Another is its computational complexity resulting from an exhaustive search. A third one is its requirement of dimensionality reduction. A fourth and probably the most critical issue is its use of random initial endmembers which results in inconsistent final endmember selection and results are not reproducible. This paper re-invents the wheel by re-designing the N-FINDR in such a way that all the above-mentioned issues can be resolved while making the last issue an advantage. The idea is to implement the N-FINDR as a random algorithm, called random N-FINDR (RN-FINDR) so that a single run using one set of random initial endmembers is considered as one realization. If there is an endmember present in the data, it should appear in any realization regardless of what random set of initial endmembers is used. In this case, the N-FINDR is terminated when the intersection of all realizations produced by two consecutive runs of RN-FINDR remains the same in which case the p is then automatically determined by the intersection set without appealing for any criterion. In order to substantiate the proposed RN-FINDR custom-designed synthetic image experiments with complete knowledge are conducted for validation and real image experiments are also performed to demonstrate its utility in applications.

Virtual dimensionality (VD) was originally developed for estimating the number of spectrally distinct signatures present in hyperspectral data. The effectiveness of the VD is determined by the technique used for VD estimation. This paper develops an orthogonal subspace projection (OSP) technique to estimate the VD. The idea is derived from linear spectral mixture analysis. A similar idea was also previously investigated by the signal subspace estimate (SSE) and later improved by hyperspectral signal subspace identification by minimum error (HySime). Interestingly, with an appropriate interpretation the proposed OSP technique includes the SSE/HySime as its special case. In order to demonstrate its utility experiments using synthetic images and real image data sets are conducted for performance analysis.

This paper presents a high-performance architecture of a piecewise linear convolution interpolation for digital image. The kernel of the proposed method is built up of piecewise linear polynomial and approximates the ideal sinc-function in interval [−2, 2]. The proposed architecture reduces the computational complexity of generating weighting coefficients and provides a simple hardware architecture design, low computation cost and is easy to meet real-time requirement. The architecture is implemented on the Virtex-II FPGA, and the VLSI architecture has been successfully designed and implemented with TSMC 0.13µm standard cell library. The simulation results indicate that the interpolation quality of the proposed architecture is better than cubic convolution interpolations mostly, which is able to process various-ratio image scaling for HDTV in real-time.

Near Field Communication (NFC) is a two-way communication technology based on radio frequency identification (RFID), which in recent years has become one of the most popular devices in a great variety of applications. The NFC-equipped phone (NFC phone) that embeds NFC technology into a cellular phone makes it increasing attractive for business uses, such as for making payments or ticketing. This paper presents a novel architecture for NFC phone-driven, personalized, context-aware smart spaces. With this architecture, users can employ the phone, which carries predefined personal desires, to control devices, such as home appliances. The appliances are automatically controlled and driven in response to a request sent from the phone by using predefined ontology and rule-based reasoning. We also implement a prototype to demonstrate the feasibility of the architecture, evaluate its performance, and show its efficiency.

With the growing capability of mobile devices, platforms, and wireless communication technologies, Web browsing on mobile devices is made possible and receives more and more attentions. However, environment of mobile device varies; traditionally, Web pages cannot be browsed if mobile user enters an environment where there is no connection to Internet, such as in a basement or countryside. Although Google Gears had been proposed to support offline Web browsing, there are still a lot of Web servers providing their services without support Google Gears. In this paper, we propose a middleware for mobile devices with properties including (1) enabling users to access the predefined Web information without network connection, (2) offline data stored on mobile device should be long-term storage, and (3) even a Web server doesn't support Google Gears, its Web pages still can be browsed offline.

Blog service has become popular in recently years. Web users can post their articles on their blog sites. However, users do not have full control of their articles after these articles have been posted while blog service is built with client/server model. Therefore, peer-to-peer (P2P) technology has been proposed to establish blog services. However, compare those P2P systems with traditional blog systems, the user experiences of using blog systems in those P2P systems are still far from the ones in traditional systems. For example, only a part of multimedia content types are supported. This paper proposes a new platform, named Pebble2P, which combines traditional blog system and P2P blog system. Thus, users can have user experience similar to the one in traditional blog while the benefits of P2P blog system remain preserved.