This paper presents the standardized effects of GMHS (Global Mobile Home Security) technology to achieve high security reasons using transmission of data (queries and data calls) in cellular networks. GMHS make use of the mobile's SMS and 3G services conducting the two-way communication between the primary user and the Security device. This operation is conducted by verifying the primary cellular number along with the security pin code and the query. The device has been made capable to alert user, of any change occurring intentionally and unintentionally, making it more secure andfriendly. The results show the performance with respect to service conditions as the service is mainly depend upon the cellular network being used as the medium for queries.
Context-aware computing is a mobile computing paradigm that helps designing and implementing next generation smart applications, where personalized devices interact with users in smart environments. Development of such applications is inherently complex due to these applications adapt to changing contextual information and they often run on resource-bounded devices. Most of the existing context-aware development frameworks are centralized, adopt client-server architecture, and do not consider resource limitations of context-aware devices. This paper presents a systematic framework to modelling and implementation of resource-bounded multi-agent context-aware systems on Android devices. The proposed framework makes use of semantic technologies for context modelling and reasoning about resource-bounded context-aware agents, Android powered smartphones as development platform, a suitable communication model and declarative rule-based programming as a preferred development language.
Abstract. Context-awareness is an essential component of mobile and pervasive computing. It refers to the concept that an application understands its context, reason about its current situation, and provide relevant information and/or services to the users. One of the main challenges of context-aware distributed mobile computing is the dynamic adaptation to changes in the resource-bounded operating environment with user preferences. For example, a depersonalized context-aware application may exhibit behavior that is not anticipated by its user in a given situation. In this paper, we present a personalized preference model for resource-bounded context-aware applications, which provides support for the development and execution of context-aware applications using a declarative language. We implement a simple example system that demonstrates the effectiveness of the approach in a real-world scenario.
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